From d17af9e69dc381af2510c48cf3bd838871ecb45b Mon Sep 17 00:00:00 2001 From: Robert Remen Date: Fri, 16 Aug 2024 12:59:38 +0000 Subject: [PATCH] feat!: fflonk --- Cargo.toml | 12 +- crates/boojum-cuda/Cargo.toml | 5 +- crates/boojum-cuda/benches/poseidon.rs | 231 - crates/boojum-cuda/benches/poseidon2.rs | 170 + crates/boojum-cuda/build/gates.rs | 30 +- crates/boojum-cuda/build/main.rs | 6 +- crates/boojum-cuda/build/poseidon2_bn.rs | 76 + crates/boojum-cuda/build/poseidon2_gl.rs | 52 + .../boojum-cuda/build/poseidon_constants.rs | 138 - crates/boojum-cuda/build/template.rs | 2 + crates/boojum-cuda/native/.gitignore | 3 + crates/boojum-cuda/native/CMakeLists.txt | 26 +- crates/boojum-cuda/native/bn254.cu | 8 + crates/boojum-cuda/native/bn254.cuh | 627 + crates/boojum-cuda/native/common.cuh | 3 +- crates/boojum-cuda/native/context.cuh | 2 +- ...template.cuh => gate_kernels.cuh.template} | 0 crates/boojum-cuda/native/gates.cu | 2 +- crates/boojum-cuda/native/goldilocks.cuh | 6 +- crates/boojum-cuda/native/memory.cuh | 1 + crates/boojum-cuda/native/ops_complex.cu | 11 +- .../native/poseidon2/bn/poseidon2_bn.cuh | 21 + .../bn/poseidon2_bn_constants.cuh.template | 11 + .../native/poseidon2/bn/poseidon2_bn_mt.cu | 124 + .../poseidon2/bn/poseidon2_bn_queries.cu | 21 + .../native/poseidon2/bn/poseidon2_bn_st.cu | 123 + .../native/poseidon2/gl/poseidon2_gl.cuh | 27 + .../gl/poseidon2_gl_constants.cuh.template | 25 + .../gl/poseidon2_gl_gates.cuh} | 88 +- .../gl/poseidon2_gl_mt.cu} | 42 +- .../poseidon2/gl/poseidon2_gl_queries.cu | 20 + .../native/poseidon2/gl/poseidon2_gl_st.cu | 84 + .../gl/poseidon2_gl_st.cuh} | 17 +- .../queries.cuh} | 21 +- .../native/poseidon2_single_thread.cu | 38 - .../boojum-cuda/native/poseidon_constants.cuh | 167 - .../native/poseidon_constants_template.cuh | 134 - .../native/poseidon_cooperative.cu | 129 - .../native/poseidon_single_thread.cu | 51 - .../native/poseidon_single_thread.cuh | 147 - crates/boojum-cuda/native/poseidon_utils.cuh | 84 - crates/boojum-cuda/native/ptx.cuh | 6 +- crates/boojum-cuda/src/context.rs | 2 +- crates/boojum-cuda/src/device_structures.rs | 5 + crates/boojum-cuda/src/extension_field.rs | 10 +- crates/boojum-cuda/src/gates.rs | 2 +- crates/boojum-cuda/src/gates_data.rs | 257 - ...ata_template.rs => gates_data.rs.template} | 2 +- crates/boojum-cuda/src/lib.rs | 2 +- crates/boojum-cuda/src/ops_complex.rs | 38 +- .../src/ops_cub/device_run_length_encode.rs | 1 - crates/boojum-cuda/src/poseidon.rs | 918 - crates/boojum-cuda/src/poseidon2.rs | 901 + crates/boojum-cuda/src/utils.rs | 22 +- crates/gpu-prover/Cargo.toml | 2 +- crates/shivini/Cargo.toml | 5 +- crates/shivini/rust-toolchain.toml | 2 - crates/shivini/src/constraint_evaluation.rs | 25 +- crates/shivini/src/context.rs | 30 +- crates/shivini/src/copy_permutation.rs | 24 +- crates/shivini/src/cs/setup.rs | 160 +- crates/shivini/src/cs/witness.rs | 4 +- .../shivini/src/data_structures/arguments.rs | 196 +- crates/shivini/src/data_structures/cache.rs | 865 +- crates/shivini/src/data_structures/mod.rs | 16 +- .../shivini/src/data_structures/quotient.rs | 83 + crates/shivini/src/data_structures/setup.rs | 150 +- crates/shivini/src/data_structures/storage.rs | 110 +- crates/shivini/src/data_structures/trace.rs | 52 +- crates/shivini/src/data_structures/tree.rs | 135 - crates/shivini/src/dvec.rs | 72 +- crates/shivini/src/fri.rs | 587 +- crates/shivini/src/gpu_proof_config.rs | 17 +- crates/shivini/src/lib.rs | 16 +- crates/shivini/src/lookup.rs | 54 +- crates/shivini/src/oracle.rs | 775 +- crates/shivini/src/poly.rs | 118 +- crates/shivini/src/pow.rs | 4 +- crates/shivini/src/primitives/arith.rs | 423 +- crates/shivini/src/primitives/cs_helpers.rs | 15 +- crates/shivini/src/primitives/helpers.rs | 8 +- crates/shivini/src/primitives/mem.rs | 10 +- crates/shivini/src/primitives/mod.rs | 3 + crates/shivini/src/primitives/ntt.rs | 13 +- crates/shivini/src/primitives/tree.rs | 43 +- crates/shivini/src/prover.rs | 517 +- crates/shivini/src/quotient.rs | 76 +- crates/shivini/src/static_allocator/device.rs | 22 +- crates/shivini/src/static_allocator/host.rs | 16 +- crates/shivini/src/synthesis_utils.rs | 216 +- crates/shivini/src/test.rs | 1193 +- crates/shivini/src/utils.rs | 16 +- .../compression/compression_1_setup_data.bin | Bin 0 -> 38290036 bytes .../compression/compression_1_wrapper.circuit | Bin 0 -> 733812 bytes .../compression/compression_2_setup_data.bin | Bin 0 -> 4819152 bytes .../compression/compression_2_wrapper.circuit | Bin 0 -> 106879 bytes .../compression/compression_3_setup_data.bin | Bin 0 -> 2459864 bytes .../compression/compression_4_setup_data.bin | Bin 0 -> 8523304 bytes .../compression_wrapper_5_setup_data.bin | Bin 0 -> 23334260 bytes .../scheduler_recursive_proof.json | 119392 +++++++++++++++ .../compression/scheduler_recursive_vk.json | 270 + .../test_data/node/{14.circuit => 2.circuit} | Bin 102 files changed, 125233 insertions(+), 5453 deletions(-) delete mode 100644 crates/boojum-cuda/benches/poseidon.rs create mode 100644 crates/boojum-cuda/benches/poseidon2.rs create mode 100644 crates/boojum-cuda/build/poseidon2_bn.rs create mode 100644 crates/boojum-cuda/build/poseidon2_gl.rs delete mode 100644 crates/boojum-cuda/build/poseidon_constants.rs create mode 100644 crates/boojum-cuda/native/bn254.cu create mode 100644 crates/boojum-cuda/native/bn254.cuh rename crates/boojum-cuda/native/{gate_kernels_template.cuh => gate_kernels.cuh.template} (100%) create mode 100644 crates/boojum-cuda/native/poseidon2/bn/poseidon2_bn.cuh create mode 100644 crates/boojum-cuda/native/poseidon2/bn/poseidon2_bn_constants.cuh.template create mode 100644 crates/boojum-cuda/native/poseidon2/bn/poseidon2_bn_mt.cu create mode 100644 crates/boojum-cuda/native/poseidon2/bn/poseidon2_bn_queries.cu create mode 100644 crates/boojum-cuda/native/poseidon2/bn/poseidon2_bn_st.cu create mode 100644 crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl.cuh create mode 100644 crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl_constants.cuh.template rename crates/boojum-cuda/native/{gates_poseidon.cuh => poseidon2/gl/poseidon2_gl_gates.cuh} (59%) rename crates/boojum-cuda/native/{poseidon2_cooperative.cu => poseidon2/gl/poseidon2_gl_mt.cu} (82%) create mode 100644 crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl_queries.cu create mode 100644 crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl_st.cu rename crates/boojum-cuda/native/{poseidon2_single_thread.cuh => poseidon2/gl/poseidon2_gl_st.cuh} (88%) rename crates/boojum-cuda/native/{poseidon_common.cu => poseidon2/queries.cuh} (62%) delete mode 100644 crates/boojum-cuda/native/poseidon2_single_thread.cu delete mode 100644 crates/boojum-cuda/native/poseidon_constants.cuh delete mode 100644 crates/boojum-cuda/native/poseidon_constants_template.cuh delete mode 100644 crates/boojum-cuda/native/poseidon_cooperative.cu delete mode 100644 crates/boojum-cuda/native/poseidon_single_thread.cu delete mode 100644 crates/boojum-cuda/native/poseidon_single_thread.cuh delete mode 100644 crates/boojum-cuda/native/poseidon_utils.cuh delete mode 100644 crates/boojum-cuda/src/gates_data.rs rename crates/boojum-cuda/src/{gates_data_template.rs => gates_data.rs.template} (100%) delete mode 100644 crates/boojum-cuda/src/poseidon.rs create mode 100644 crates/boojum-cuda/src/poseidon2.rs delete mode 100644 crates/shivini/rust-toolchain.toml create mode 100644 crates/shivini/src/data_structures/quotient.rs delete mode 100644 crates/shivini/src/data_structures/tree.rs create mode 100644 crates/shivini/test_data/compression/compression_1_setup_data.bin create mode 100644 crates/shivini/test_data/compression/compression_1_wrapper.circuit create mode 100644 crates/shivini/test_data/compression/compression_2_setup_data.bin create mode 100644 crates/shivini/test_data/compression/compression_2_wrapper.circuit create mode 100644 crates/shivini/test_data/compression/compression_3_setup_data.bin create mode 100644 crates/shivini/test_data/compression/compression_4_setup_data.bin create mode 100644 crates/shivini/test_data/compression/compression_wrapper_5_setup_data.bin create mode 100644 crates/shivini/test_data/compression/scheduler_recursive_proof.json create mode 100644 crates/shivini/test_data/compression/scheduler_recursive_vk.json rename crates/shivini/test_data/node/{14.circuit => 2.circuit} (100%) diff --git a/Cargo.toml b/Cargo.toml index 9bdfc7f..b361b7c 100644 --- a/Cargo.toml +++ b/Cargo.toml @@ -29,7 +29,11 @@ shivini = { version = "=0.151.1", path = "crates/shivini" } wrapper-prover = { version = "=0.151.1", path = "crates/wrapper-prover", package = "zksync-wrapper-prover" } # These dependencies should be shared by all the crates. -circuit_definitions = { version = "=0.150.7" } -zkevm_test_harness = { version = "=0.150.7" } -boojum = "=0.30.1" -franklin-crypto = "=0.30.1" +boojum = "=0.30.2" +circuit_definitions = "=0.150.8" +franklin-crypto = "=0.30.2" +snark_wrapper = "=0.30.2" +zkevm_test_harness = "=0.150.8" + +[profile.release] +debug = "line-tables-only" diff --git a/crates/boojum-cuda/Cargo.toml b/crates/boojum-cuda/Cargo.toml index 07e9043..8ae3c57 100644 --- a/crates/boojum-cuda/Cargo.toml +++ b/crates/boojum-cuda/Cargo.toml @@ -14,6 +14,7 @@ description = "Boojum-CUDA is a library implementing GPU-accelerated cryptograph [build-dependencies] boojum.workspace = true era_cudart_sys.workspace = true +snark_wrapper.workspace = true cmake = "0.1" itertools = "0.13" @@ -21,6 +22,7 @@ itertools = "0.13" boojum.workspace = true era_cudart.workspace = true era_cudart_sys.workspace = true +snark_wrapper.workspace = true itertools = "0.13" lazy_static = "1.4" @@ -31,6 +33,7 @@ criterion = "0.5" criterion-macro = "0.4" itertools = "0.13" rand = "0.8" +rand_04 = { package = "rand", version = "0.4" } rayon = "1.10" serial_test = "3.1" @@ -55,5 +58,5 @@ name = "ops_complex" harness = false [[bench]] -name = "poseidon" +name = "poseidon2" harness = false diff --git a/crates/boojum-cuda/benches/poseidon.rs b/crates/boojum-cuda/benches/poseidon.rs deleted file mode 100644 index 70944ae..0000000 --- a/crates/boojum-cuda/benches/poseidon.rs +++ /dev/null @@ -1,231 +0,0 @@ -#![feature(custom_test_frameworks)] -#![test_runner(criterion::runner)] - -use std::time::Duration; - -use boojum::field::goldilocks::GoldilocksField; -use boojum::implementations::poseidon_goldilocks_params::*; -use criterion::{ - criterion_group, criterion_main, BenchmarkId, Criterion, SamplingMode, Throughput, -}; -use rand::{thread_rng, Rng}; -use rayon::prelude::*; - -use boojum_cuda::poseidon::*; -use era_criterion_cuda::CudaMeasurement; -use era_cudart::memory::{memory_copy, DeviceAllocation}; -use era_cudart::result::CudaResult; -use era_cudart::slice::DeviceSlice; -use era_cudart::stream::CudaStream; - -#[allow(clippy::type_complexity)] -fn leaves_group( - c: &mut Criterion, - group_name: String, - launch: fn( - &DeviceSlice, - &mut DeviceSlice, - u32, - bool, - bool, - &CudaStream, - ) -> CudaResult<()>, -) { - const MIN_LOG_N: usize = 17; - const MAX_LOG_N: usize = 20; - const CHUNKS_PER_LEAF: usize = 16; - let mut initialized = false; - let mut values_device = - DeviceAllocation::::alloc((CHUNKS_PER_LEAF * RATE) << MAX_LOG_N).unwrap(); - let mut results_device = - DeviceAllocation::::alloc(CAPACITY << MAX_LOG_N).unwrap(); - let stream = CudaStream::default(); - let mut group = c.benchmark_group(group_name); - group.warm_up_time(Duration::from_secs(1)); - group.measurement_time(Duration::from_secs(5)); - group.sampling_mode(SamplingMode::Flat); - for log_count in MIN_LOG_N..=MAX_LOG_N { - let bytes = (CHUNKS_PER_LEAF * RATE * size_of::()) << log_count; - group.throughput(Throughput::Bytes(bytes as u64)); - group.bench_function(BenchmarkId::from_parameter(log_count), |b| { - if !initialized { - let values_host: Vec = (0..values_device.len()) - .into_par_iter() - .map(|_| GoldilocksField::from_nonreduced_u64(thread_rng().gen())) - .collect(); - memory_copy(&mut values_device, &values_host).unwrap(); - initialized = true; - } - b.iter(|| { - let values = &values_device[..(CHUNKS_PER_LEAF * RATE) << log_count]; - let results = &mut results_device[..CAPACITY << log_count]; - launch(values, results, 0, false, false, &stream).unwrap(); - }) - }); - } - group.finish(); - stream.destroy().unwrap(); - results_device.free().unwrap(); - values_device.free().unwrap(); -} - -fn poseidon_single_thread_leaves(c: &mut Criterion) { - leaves_group( - c, - String::from("poseidon_single_thread_leaves"), - launch_single_thread_leaves_kernel::, - ); -} - -fn poseidon2_single_thread_leaves(c: &mut Criterion) { - leaves_group( - c, - String::from("poseidon2_single_thread_leaves"), - launch_single_thread_leaves_kernel::, - ); -} - -fn poseidon2_cooperative_leaves(c: &mut Criterion) { - leaves_group( - c, - String::from("poseidon2_cooperative_leaves"), - launch_cooperative_leaves_kernel::, - ); -} - -fn nodes_group( - c: &mut Criterion, - group_name: String, - launch: fn( - &DeviceSlice, - &mut DeviceSlice, - &CudaStream, - ) -> CudaResult<()>, -) { - const MIN_LOG_N: usize = 4; - const MAX_LOG_N: usize = 23; - let mut initialized = false; - let mut values_device = DeviceAllocation::::alloc(RATE << MAX_LOG_N).unwrap(); - let mut results_device = - DeviceAllocation::::alloc(CAPACITY << MAX_LOG_N).unwrap(); - let stream = CudaStream::default(); - let mut group = c.benchmark_group(group_name); - group.warm_up_time(Duration::from_millis(500)); - group.measurement_time(Duration::from_millis(2500)); - group.sampling_mode(SamplingMode::Flat); - for log_count in MIN_LOG_N..=MAX_LOG_N { - let bytes = (RATE * size_of::()) << log_count; - group.throughput(Throughput::Bytes(bytes as u64)); - group.bench_function(BenchmarkId::from_parameter(log_count), |b| { - if !initialized { - let values_host: Vec = (0..values_device.len()) - .into_par_iter() - .map(|_| GoldilocksField::from_nonreduced_u64(thread_rng().gen())) - .collect(); - memory_copy(&mut values_device, &values_host).unwrap(); - initialized = true; - } - b.iter(|| { - let values = &values_device[..RATE << log_count]; - let results = &mut results_device[..CAPACITY << log_count]; - launch(values, results, &stream).unwrap(); - }) - }); - } - group.finish(); - stream.destroy().unwrap(); - results_device.free().unwrap(); - values_device.free().unwrap(); -} - -fn poseidon_single_thread_nodes(c: &mut Criterion) { - nodes_group( - c, - String::from("poseidon_single_thread_nodes"), - launch_single_thread_nodes_kernel::, - ); -} - -fn poseidon_cooperative_nodes(c: &mut Criterion) { - nodes_group( - c, - String::from("poseidon_cooperative_nodes"), - launch_cooperative_nodes_kernel::, - ); -} - -fn poseidon2_single_thread_nodes(c: &mut Criterion) { - nodes_group( - c, - String::from("poseidon2_single_thread_nodes"), - launch_single_thread_nodes_kernel::, - ); -} - -fn poseidon2_cooperative_nodes(c: &mut Criterion) { - nodes_group( - c, - String::from("poseidon2_cooperative_nodes"), - launch_cooperative_nodes_kernel::, - ); -} - -fn merkle_tree( - c: &mut Criterion, - group_name: String, -) { - const MIN_LOG_N: usize = 17; - const MAX_LOG_N: usize = 20; - const CHUNKS_PER_LEAF: usize = 16; - const LAYER_CAP: u32 = 4; - let mut initialized = false; - let mut values_device = - DeviceAllocation::::alloc((CHUNKS_PER_LEAF * RATE) << MAX_LOG_N).unwrap(); - let mut results_device = - DeviceAllocation::::alloc(CAPACITY << (MAX_LOG_N + 1)).unwrap(); - let stream = CudaStream::default(); - let mut group = c.benchmark_group(group_name); - group.warm_up_time(Duration::from_secs(1)); - group.measurement_time(Duration::from_secs(5)); - group.sampling_mode(SamplingMode::Flat); - for log_count in MIN_LOG_N..=MAX_LOG_N { - let bytes = (CHUNKS_PER_LEAF * RATE * size_of::()) << log_count; - group.throughput(Throughput::Bytes(bytes as u64)); - group.bench_function(BenchmarkId::from_parameter(log_count), |b| { - if !initialized { - let values_host: Vec = (0..values_device.len()) - .into_par_iter() - .map(|_| GoldilocksField::from_nonreduced_u64(thread_rng().gen())) - .collect(); - memory_copy(&mut values_device, &values_host).unwrap(); - initialized = true; - } - b.iter(|| { - let values = &values_device[..(CHUNKS_PER_LEAF * RATE) << log_count]; - let results = &mut results_device[..CAPACITY << (log_count + 1)]; - let layers_count = log_count as u32 + 1 - LAYER_CAP; - build_merkle_tree::(values, results, 0, &stream, layers_count) - .unwrap(); - }) - }); - } - group.finish(); - stream.destroy().unwrap(); - results_device.free().unwrap(); - values_device.free().unwrap(); -} - -fn poseidon_merkle_tree(c: &mut Criterion) { - merkle_tree::(c, String::from("poseidon_merkle_tree")); -} - -fn poseidon2_merkle_tree(c: &mut Criterion) { - merkle_tree::(c, String::from("poseidon2_merkle_tree")); -} - -criterion_group!( - name = bench_poseidon; - config = Criterion::default().with_measurement::(CudaMeasurement{}); - targets = poseidon_single_thread_leaves, poseidon2_single_thread_leaves, poseidon2_cooperative_leaves, poseidon_single_thread_nodes, poseidon_cooperative_nodes, poseidon2_single_thread_nodes, poseidon2_cooperative_nodes, poseidon_merkle_tree, poseidon2_merkle_tree, -); -criterion_main!(bench_poseidon); diff --git a/crates/boojum-cuda/benches/poseidon2.rs b/crates/boojum-cuda/benches/poseidon2.rs new file mode 100644 index 0000000..62104b7 --- /dev/null +++ b/crates/boojum-cuda/benches/poseidon2.rs @@ -0,0 +1,170 @@ +#![feature(custom_test_frameworks)] +#![test_runner(criterion::runner)] + +use boojum::field::goldilocks::GoldilocksField; +use boojum_cuda::poseidon2::{BNHasher, GLHasher, GpuTreeHasher}; +use criterion::{ + criterion_group, criterion_main, BenchmarkId, Criterion, SamplingMode, Throughput, +}; +use era_criterion_cuda::CudaMeasurement; +use era_cudart::memory::{memory_copy, memory_set, DeviceAllocation}; +use era_cudart::result::CudaResult; +use era_cudart::slice::CudaSlice; +use era_cudart::stream::CudaStream; +use rand::prelude::*; +use rayon::prelude::*; +use std::time::Duration; + +fn bench_leafs( + c: &mut Criterion, + group_name: String, +) -> CudaResult<()> { + const MIN_LOG_N: usize = 8; + const MAX_LOG_N: usize = 23; + let mut initialized = false; + let mut values_device = DeviceAllocation::alloc(VALUES_PER_LEAF << MAX_LOG_N)?; + let mut results_device = DeviceAllocation::alloc(H::CAPACITY << MAX_LOG_N)?; + let stream = CudaStream::default(); + let mut group = c.benchmark_group(group_name); + group.warm_up_time(Duration::from_secs(1)); + group.measurement_time(Duration::from_secs(5)); + group.sampling_mode(SamplingMode::Flat); + for log_count in MIN_LOG_N..=MAX_LOG_N { + // let bytes = (VALUES_PER_LEAF * size_of::()) << log_count; + // group.throughput(Throughput::Bytes(bytes as u64)); + let elements = ((VALUES_PER_LEAF + 1) / (H::RATE * H::CHUNKING) - 1) << log_count; + group.throughput(Throughput::Elements(elements as u64)); + group.bench_function(BenchmarkId::from_parameter(log_count), |b| { + if !initialized { + let values_host: Vec = (0..values_device.len()) + .into_par_iter() + .map(|_| GoldilocksField::from_nonreduced_u64(thread_rng().gen())) + .collect(); + memory_copy(&mut values_device, &values_host).unwrap(); + initialized = true; + } + b.iter(|| { + let values = &values_device[..VALUES_PER_LEAF << log_count]; + let results = &mut results_device[..H::CAPACITY << log_count]; + H::compute_leaf_hashes(values, results, 0, false, false, &stream).unwrap(); + }) + }); + } + group.finish(); + stream.destroy()?; + results_device.free()?; + values_device.free()?; + Ok(()) +} + +fn gl_leafs(c: &mut Criterion) { + bench_leafs::(c, String::from("gl_leafs")).unwrap(); +} + +fn bn_leafs(c: &mut Criterion) { + bench_leafs::(c, String::from("bn_leafs")).unwrap(); +} + +fn bench_nodes( + c: &mut Criterion, + group_name: String, +) -> CudaResult<()> { + const MIN_LOG_N: usize = 8; + const MAX_LOG_N: usize = 23; + let mut initialized = false; + let mut values_device = DeviceAllocation::alloc(H::RATE << MAX_LOG_N)?; + let mut results_device = DeviceAllocation::alloc(H::CAPACITY << MAX_LOG_N)?; + let stream = CudaStream::default(); + let mut group = c.benchmark_group(group_name); + group.warm_up_time(Duration::from_millis(500)); + group.measurement_time(Duration::from_millis(2500)); + group.sampling_mode(SamplingMode::Flat); + for log_count in MIN_LOG_N..=MAX_LOG_N { + // let bytes = (H::RATE * size_of::()) << log_count; + // group.throughput(Throughput::Bytes(bytes as u64)); + let elements = 1 << log_count; + group.throughput(Throughput::Elements(elements as u64)); + group.bench_function(BenchmarkId::from_parameter(log_count), |b| { + if !initialized { + unsafe { + memory_set(values_device.transmute_mut(), 0).unwrap(); + } + initialized = true; + } + b.iter(|| { + let values = &values_device[..H::RATE << log_count]; + let results = &mut results_device[..H::CAPACITY << log_count]; + H::compute_node_hashes(values, results, &stream).unwrap(); + }) + }); + } + group.finish(); + stream.destroy()?; + results_device.free()?; + values_device.free()?; + Ok(()) +} + +fn gl_nodes(c: &mut Criterion) { + bench_nodes::(c, String::from("gl_nodes")).unwrap(); +} + +fn bn_nodes(c: &mut Criterion) { + bench_nodes::(c, String::from("bn_nodes")).unwrap(); +} + +fn bench_merkle_tree( + c: &mut Criterion, + group_name: String, +) -> CudaResult<()> { + const MIN_LOG_N: usize = 8; + const MAX_LOG_N: usize = 23; + let mut initialized = false; + let mut values_device = DeviceAllocation::alloc(VALUES_PER_LEAF << MAX_LOG_N)?; + let mut results_device = DeviceAllocation::alloc(H::CAPACITY << (MAX_LOG_N + 1))?; + let stream = CudaStream::default(); + let mut group = c.benchmark_group(group_name); + group.warm_up_time(Duration::from_secs(1)); + group.measurement_time(Duration::from_secs(5)); + group.sampling_mode(SamplingMode::Flat); + for log_count in MIN_LOG_N..=MAX_LOG_N { + let bytes = (VALUES_PER_LEAF * size_of::()) << log_count; + group.throughput(Throughput::Bytes(bytes as u64)); + group.bench_function(BenchmarkId::from_parameter(log_count), |b| { + if !initialized { + let values_host: Vec = (0..values_device.len()) + .into_par_iter() + .map(|_| GoldilocksField::from_nonreduced_u64(thread_rng().gen())) + .collect(); + memory_copy(&mut values_device, &values_host).unwrap(); + initialized = true; + } + b.iter(|| { + let values = &values_device[..VALUES_PER_LEAF << log_count]; + let results = &mut results_device[..H::CAPACITY << (log_count + 1)]; + H::build_merkle_tree(values, results, 0, &stream, log_count as u32).unwrap(); + }) + }); + } + group.finish(); + stream.destroy()?; + results_device.free()?; + values_device.free()?; + Ok(()) +} + +fn gl_merkle_tree(c: &mut Criterion) { + bench_merkle_tree::(c, String::from("gl_merkle_tree")).unwrap(); +} + +fn bn_merkle_tree(c: &mut Criterion) { + bench_merkle_tree::(c, String::from("bn_merkle_tree")).unwrap(); +} + +criterion_group!( + name = bench_poseidon2; + config = Criterion::default().with_measurement::(CudaMeasurement{}); + targets = gl_leafs, bn_leafs, gl_nodes, bn_nodes, gl_merkle_tree, bn_merkle_tree +); + +criterion_main!(bench_poseidon2); diff --git a/crates/boojum-cuda/build/gates.rs b/crates/boojum-cuda/build/gates.rs index eee7d27..fd96fbb 100644 --- a/crates/boojum-cuda/build/gates.rs +++ b/crates/boojum-cuda/build/gates.rs @@ -55,8 +55,8 @@ pub(super) fn generate() { } fn generate_cuda(descriptions: &[Description]) { - const TEMPLATE_PATH: &str = "native/gate_kernels_template.cuh"; - const RESULT_PATH: &str = "gate_kernels.cuh"; + const TEMPLATE_PATH: &str = "native/gate_kernels.cuh.template"; + const RESULT_PATH: &str = "generated/gate_kernels.cuh"; let mut code = String::new(); let s = &mut code; new_line(s); @@ -179,8 +179,8 @@ fn generate_cuda(descriptions: &[Description]) { } fn generate_rust(descriptions: &[Description]) { - const TEMPLATE_PATH: &str = "src/gates_data_template.rs"; - const RESULT_PATH: &str = "gates_data.rs"; + const TEMPLATE_PATH: &str = "src/gates_data.rs.template"; + const RESULT_PATH: &str = "generated/gates_data.rs"; let mut hash_map = String::new(); let mut bindings = String::new(); let mut mappings = String::new(); @@ -341,9 +341,18 @@ fn get_indexes(relations: &Vec<(GpuSynthesizerFieldLike, Relation)>) -> Ha indexes } +fn poseidon2_flattened_gate_description(num_var_cols: usize, num_wit_cols: usize) -> Description { + assert_eq!(num_var_cols + num_wit_cols, 130); + Description::new::>( + (num_var_cols, num_wit_cols), + GateType::Poseidon2(num_var_cols, num_wit_cols), + ) +} + fn get_descriptions() -> Vec { vec![ Description::new::((), Generic), + Description::new::(10, Generic), Description::new::>((), Generic), Description::new::>((), Generic), Description::new::>((), Generic), @@ -359,14 +368,11 @@ fn get_descriptions() -> Vec { GateType::Poseidon2InternalMatrix, ), Description::new::>((), Generic), - Description::new::>( - (130, 0), - GateType::Poseidon2(130, 0), - ), - Description::new::>( - (100, 30), - GateType::Poseidon2(100, 30), - ), + poseidon2_flattened_gate_description(52, 78), + poseidon2_flattened_gate_description(56, 74), + poseidon2_flattened_gate_description(68, 62), + poseidon2_flattened_gate_description(100, 30), + poseidon2_flattened_gate_description(130, 0), Description::new::>((), Generic), Description::new::>((), Generic), Description::new::>((), Generic), diff --git a/crates/boojum-cuda/build/main.rs b/crates/boojum-cuda/build/main.rs index a141f0f..7d73a77 100644 --- a/crates/boojum-cuda/build/main.rs +++ b/crates/boojum-cuda/build/main.rs @@ -3,12 +3,14 @@ #![feature(generic_const_exprs)] mod gates; -mod poseidon_constants; +mod poseidon2_bn; +mod poseidon2_gl; mod template; fn main() { gates::generate(); - poseidon_constants::generate(); + poseidon2_bn::generate(); + poseidon2_gl::generate(); println!("cargo::rustc-check-cfg=cfg(no_cuda)"); if era_cudart_sys::is_no_cuda() { println!("cargo::warning={}", era_cudart_sys::no_cuda_message!()); diff --git a/crates/boojum-cuda/build/poseidon2_bn.rs b/crates/boojum-cuda/build/poseidon2_bn.rs new file mode 100644 index 0000000..2380630 --- /dev/null +++ b/crates/boojum-cuda/build/poseidon2_bn.rs @@ -0,0 +1,76 @@ +use snark_wrapper::franklin_crypto::bellman::bn256::{Bn256, Fr}; +use snark_wrapper::franklin_crypto::bellman::PrimeField; +use snark_wrapper::rescue_poseidon::poseidon2::Poseidon2Params; +use snark_wrapper::rescue_poseidon::HashParams; + +const TEMPLATE_PATH: &str = "native/poseidon2/bn/poseidon2_bn_constants.cuh.template"; +const RESULT_PATH: &str = "generated/poseidon2_bn_constants.cuh"; + +const RATE: usize = 2; +const CAPACITY: usize = 1; +const WIDTH: usize = RATE + CAPACITY; +const CHUNK_BY: usize = 3; + +type Params = Poseidon2Params; + +fn split_u64(value: u64) -> (u32, u32) { + let lo = value as u32; + let hi = (value >> 32) as u32; + (lo, hi) +} + +fn get_field_string(value: &Fr) -> String { + let mut result = String::new(); + for x in value.into_raw_repr().0 { + let (lo, hi) = split_u64(x); + result.push_str(format!("{lo:#010x},{hi:#010x},").as_str()); + } + result +} + +fn get_field_array_string(values: &[Fr]) -> String { + let mut result = String::new(); + for x in values { + result.push('{'); + result.push_str(get_field_string(x).as_str()); + result.push_str("},"); + } + result +} + +fn get_field_2d_array_string(values: &[&[Fr; COUNT]]) -> String { + let mut result = String::from("{\\\n"); + for &row in values { + result.push_str(" {"); + result.push_str(get_field_array_string(row).as_str()); + result.push_str("},\\\n"); + } + result.push('}'); + result +} + +fn get_round_constants(params: &Params) -> String { + let num_full_rounds = params.number_of_full_rounds(); + let num_partial_rounds = params.number_of_partial_rounds(); + let chunks: Vec<&[Fr; 3]> = (0..num_full_rounds + num_partial_rounds) + .map(|round| params.constants_of_round(round)) + .collect(); + get_field_2d_array_string(&chunks) +} + +pub(super) fn generate() { + let params = Params::default(); + let num_full_rounds = params.number_of_full_rounds(); + assert_eq!(num_full_rounds & 1, 0); + let half_num_full_rounds = num_full_rounds >> 1; + let num_partial_rounds = params.number_of_partial_rounds(); + let replacements = [ + ("RATE", RATE.to_string()), + ("CAPACITY", CAPACITY.to_string()), + ("CHUNK_BY", CHUNK_BY.to_string()), + ("HALF_NUM_FULL_ROUNDS", half_num_full_rounds.to_string()), + ("NUM_PARTIAL_ROUNDS", num_partial_rounds.to_string()), + ("ROUND_CONSTANTS_VALUES", get_round_constants(¶ms)), + ]; + super::template::generate(&replacements, TEMPLATE_PATH, RESULT_PATH); +} diff --git a/crates/boojum-cuda/build/poseidon2_gl.rs b/crates/boojum-cuda/build/poseidon2_gl.rs new file mode 100644 index 0000000..7ba2128 --- /dev/null +++ b/crates/boojum-cuda/build/poseidon2_gl.rs @@ -0,0 +1,52 @@ +use boojum::field::goldilocks::GoldilocksField; +use boojum::field::U64Representable; +use boojum::implementations::poseidon_goldilocks_params::*; + +const TEMPLATE_PATH: &str = "native/poseidon2/gl/poseidon2_gl_constants.cuh.template"; +const RESULT_PATH: &str = "generated/poseidon2_gl_constants.cuh"; + +fn split_u64(value: u64) -> (u32, u32) { + let lo = value as u32; + let hi = (value >> 32) as u32; + (lo, hi) +} + +fn get_field_array_string(values: &[GoldilocksField]) -> String { + let mut result = String::new(); + for x in values { + let (lo, hi) = split_u64(x.as_u64()); + result.push_str(format!("{{{lo:#010x},{hi:#010x}}},").as_str()); + } + result +} + +fn get_field_2d_array_string(values: &[[GoldilocksField; COUNT]]) -> String { + let mut result = String::from('\n'); + for row in values { + result.push_str(" {"); + result.push_str(get_field_array_string(row).as_str()); + result.push_str("},\n"); + } + result +} + +fn get_all_round_constants() -> String { + let values = ALL_ROUND_CONSTANTS_AS_FIELD_ELEMENTS; + assert_eq!(values.len(), STATE_WIDTH * TOTAL_NUM_ROUNDS); + let chunks: Vec<[GoldilocksField; STATE_WIDTH]> = values + .chunks(STATE_WIDTH) + .map(|c| c.try_into().unwrap()) + .collect(); + get_field_2d_array_string(&chunks) +} + +pub(super) fn generate() { + let replacements = [ + ("RATE", RATE.to_string()), + ("CAPACITY", CAPACITY.to_string()), + ("HALF_NUM_FULL_ROUNDS", HALF_NUM_FULL_ROUNDS.to_string()), + ("NUM_PARTIAL_ROUNDS", NUM_PARTIAL_ROUNDS.to_string()), + ("ALL_ROUND_CONSTANTS", get_all_round_constants()), + ]; + super::template::generate(&replacements, TEMPLATE_PATH, RESULT_PATH); +} diff --git a/crates/boojum-cuda/build/poseidon_constants.rs b/crates/boojum-cuda/build/poseidon_constants.rs deleted file mode 100644 index 27d6f14..0000000 --- a/crates/boojum-cuda/build/poseidon_constants.rs +++ /dev/null @@ -1,138 +0,0 @@ -use boojum::field::goldilocks::GoldilocksField; -use boojum::field::U64Representable; -use boojum::implementations::poseidon_goldilocks_params::*; - -// use itertools::Itertools; - -const TEMPLATE_PATH: &str = "native/poseidon_constants_template.cuh"; -const RESULT_PATH: &str = "poseidon_constants.cuh"; - -fn split_u64(value: u64) -> (u32, u32) { - let lo = value as u32; - let hi = (value >> 32) as u32; - (lo, hi) -} - -// fn get_usize_array_string(values: impl Iterator) -> String { -// let mut result = String::new(); -// for x in values { -// result.push_str(format!("{x},").as_str()); -// } -// result -// } - -fn get_field_array_string(values: &[GoldilocksField]) -> String { - let mut result = String::new(); - for x in values { - let (lo, hi) = split_u64(x.as_u64()); - result.push_str(format!("{{{lo:#010x},{hi:#010x}}},").as_str()); - } - result -} - -fn get_field_2d_array_string(values: &[[GoldilocksField; COUNT]]) -> String { - let mut result = String::from('\n'); - for row in values { - result.push_str(" {"); - result.push_str(get_field_array_string(row).as_str()); - result.push_str("},\n"); - } - result -} - -// fn get_mds_matrix_exps() -> String { -// let values = MDS_MATRIX_EXPS; -// assert_eq!(values.len(), STATE_WIDTH); -// get_usize_array_string(values.into_iter()) -// } -// -// fn get_mds_matrix_exps_order() -> String { -// let values = MDS_MATRIX_EXPS; -// assert_eq!(values.len(), STATE_WIDTH); -// get_usize_array_string((0..STATE_WIDTH).sorted_by_key(|i| values[*i]).rev()) -// } -// -// fn get_mds_matrix_shifts() -> String { -// let values = MDS_MATRIX_EXPS; -// assert_eq!(values.len(), STATE_WIDTH); -// get_usize_array_string( -// values -// .iter() -// .sorted() -// .rev() -// .tuple_windows() -// .map(|(a, b)| a - b) -// .chain(0usize..1usize), -// ) -// } - -fn get_all_round_constants() -> String { - let values = ALL_ROUND_CONSTANTS_AS_FIELD_ELEMENTS; - assert_eq!(values.len(), STATE_WIDTH * TOTAL_NUM_ROUNDS); - let chunks: Vec<[GoldilocksField; STATE_WIDTH]> = values - .chunks(STATE_WIDTH) - .map(|c| c.try_into().unwrap()) - .collect(); - get_field_2d_array_string(&chunks) -} - -// fn get_fused_round_constants() -> String { -// let values = ROUND_CONSTANTS_FUZED_LAST_FULL_AND_FIRST_PARTIAL; -// assert_eq!(values.len(), STATE_WIDTH); -// get_field_array_string(&values) -// } -// -// fn get_fused_dense_matrix_constants() -> String { -// let values = FUZED_DENSE_MATRIX_LAST_FULL_AND_FIRST_PARTIAL; -// assert_eq!(values.len(), STATE_WIDTH); -// assert_eq!(values[0].len(), STATE_WIDTH); -// get_field_2d_array_string(&values) -// } -// -// fn get_fused_s_boxes_constants() -> String { -// let values = ROUND_CONSTANTS_FOR_FUZED_SBOXES; -// assert_eq!(values.len(), NUM_PARTIAL_ROUNDS); -// get_field_array_string(&values) -// } -// -// fn get_vs_constants() -> String { -// let values = VS_FOR_PARTIAL_ROUNDS; -// assert_eq!(values.len(), NUM_PARTIAL_ROUNDS); -// assert_eq!(values[0].len(), STATE_WIDTH - 1); -// get_field_2d_array_string(&values) -// } -// -// fn get_w_hats_constants() -> String { -// let values = W_HATS_FOR_PARTIAL_ROUNDS; -// assert_eq!(values.len(), NUM_PARTIAL_ROUNDS); -// assert_eq!(values[0].len(), STATE_WIDTH - 1); -// get_field_2d_array_string(&values) -// } - -pub(super) fn generate() { - let replacements = [ - ("RATE", RATE.to_string()), - ("CAPACITY", CAPACITY.to_string()), - ("HALF_NUM_FULL_ROUNDS", HALF_NUM_FULL_ROUNDS.to_string()), - ("NUM_PARTIAL_ROUNDS", NUM_PARTIAL_ROUNDS.to_string()), - // ("MDS_MATRIX_EXPS", get_mds_matrix_exps()), - // ("MDS_MATRIX_EXPS_ORDER", get_mds_matrix_exps_order()), - // ("MDS_MATRIX_SHIFTS", get_mds_matrix_shifts()), - ("ALL_ROUND_CONSTANTS", get_all_round_constants()), - // ( - // "ROUND_CONSTANTS_FUSED_LAST_FULL_AND_FIRST_PARTIAL", - // get_fused_round_constants(), - // ), - // ( - // "FUSED_DENSE_MATRIX_LAST_FULL_AND_FIRST_PARTIAL", - // get_fused_dense_matrix_constants(), - // ), - // ( - // "ROUND_CONSTANTS_FOR_FUSED_S_BOXES", - // get_fused_s_boxes_constants(), - // ), - // ("VS_FOR_PARTIAL_ROUNDS", get_vs_constants()), - // ("W_HATS_FOR_PARTIAL_ROUNDS", get_w_hats_constants()), - ]; - super::template::generate(&replacements, TEMPLATE_PATH, RESULT_PATH); -} diff --git a/crates/boojum-cuda/build/template.rs b/crates/boojum-cuda/build/template.rs index 6ae8ab3..8568268 100644 --- a/crates/boojum-cuda/build/template.rs +++ b/crates/boojum-cuda/build/template.rs @@ -15,6 +15,8 @@ pub(crate) fn generate(replacements: &[(&str, String)], template_path: &str, res } let out_dir = var("OUT_DIR").unwrap(); let result_path = Path::new(&out_dir).join(result_path); + let result_dir = result_path.parent().unwrap(); + fs::create_dir_all(result_dir).unwrap_or_default(); let current = fs::read_to_string(&result_path).unwrap_or_default(); if !text.eq(¤t) { fs::write(&result_path, text).unwrap(); diff --git a/crates/boojum-cuda/native/.gitignore b/crates/boojum-cuda/native/.gitignore index 9f63b71..9d65551 100644 --- a/crates/boojum-cuda/native/.gitignore +++ b/crates/boojum-cuda/native/.gitignore @@ -1 +1,4 @@ /cmake-build-*/ +gate_kernels.cuh +poseidon2_bn_constants.cuh +poseidon2_gl_constants.cuh diff --git a/crates/boojum-cuda/native/CMakeLists.txt b/crates/boojum-cuda/native/CMakeLists.txt index ee241f0..70c2759 100644 --- a/crates/boojum-cuda/native/CMakeLists.txt +++ b/crates/boojum-cuda/native/CMakeLists.txt @@ -10,16 +10,27 @@ add_library(boojum_cuda_native STATIC ops_cub/device_reduce.cu ops_cub/device_run_length_encode.cu ops_cub/device_scan.cu + poseidon2/queries.cuh + poseidon2/bn/poseidon2_bn.cuh + poseidon2/bn/poseidon2_bn_mt.cu + poseidon2/bn/poseidon2_bn_queries.cu + poseidon2/bn/poseidon2_bn_st.cu + poseidon2/gl/poseidon2_gl.cuh + poseidon2/gl/poseidon2_gl_gates.cuh + poseidon2/gl/poseidon2_gl_mt.cu + poseidon2/gl/poseidon2_gl_queries.cu + poseidon2/gl/poseidon2_gl_st.cu + poseidon2/gl/poseidon2_gl_st.cuh barycentric.cu + bn254.cu + bn254.cuh blake2s.cu carry_chain.cuh common.cuh context.cu context.cuh - ${CMAKE_INSTALL_PREFIX}/gate_kernels.cuh gates.cu gates.cuh - gates_poseidon.cuh goldilocks.cuh goldilocks_extension.cu goldilocks_extension.cuh @@ -30,18 +41,9 @@ add_library(boojum_cuda_native STATIC ops_complex.cu ops_complex.cuh ops_simple.cu - poseidon2_cooperative.cu - poseidon2_single_thread.cu - poseidon2_single_thread.cuh - poseidon_common.cu - ${CMAKE_INSTALL_PREFIX}/poseidon_constants.cuh - poseidon_cooperative.cu - poseidon_single_thread.cu - poseidon_single_thread.cuh - poseidon_utils.cuh ptx.cuh ) -target_include_directories(boojum_cuda_native PRIVATE ${CMAKE_INSTALL_PREFIX}) +target_include_directories(boojum_cuda_native PRIVATE ${CMAKE_INSTALL_PREFIX}/generated) set_target_properties(boojum_cuda_native PROPERTIES CUDA_STANDARD 17) set_target_properties(boojum_cuda_native PROPERTIES CUDA_SEPARABLE_COMPILATION ON) set_target_properties(boojum_cuda_native PROPERTIES CUDA_RESOLVE_DEVICE_SYMBOLS ON) diff --git a/crates/boojum-cuda/native/bn254.cu b/crates/boojum-cuda/native/bn254.cu new file mode 100644 index 0000000..f87675c --- /dev/null +++ b/crates/boojum-cuda/native/bn254.cu @@ -0,0 +1,8 @@ +#include + +namespace bn254 { + +// definition of variables declared "extern __device__ __constant__" elsewhere +__device__ __constant__ uint32_t inv_fr = 0xefffffff; + +} // namespace bn254 diff --git a/crates/boojum-cuda/native/bn254.cuh b/crates/boojum-cuda/native/bn254.cuh new file mode 100644 index 0000000..7446195 --- /dev/null +++ b/crates/boojum-cuda/native/bn254.cuh @@ -0,0 +1,627 @@ +#pragma once + +#include "carry_chain.cuh" +#include "common.cuh" + +namespace bn254 { + +#define LIMBS_ALIGNMENT(x) ((x) % 4 == 0 ? 16 : ((x) % 2 == 0 ? 8 : 4)) +#define ALIGN __align__(LIMBS_ALIGNMENT(LIMBS_COUNT)) + +template struct ALIGN storage { + static constexpr unsigned LC = LIMBS_COUNT; + uint32_t limbs[LIMBS_COUNT]; +}; + +template struct ALIGN storage_wide { + static_assert(LIMBS_COUNT ^ 1); + static constexpr unsigned LC = LIMBS_COUNT; + static constexpr unsigned LC2 = LIMBS_COUNT * 2; + uint32_t limbs[LC2]; + + void DEVICE_FORCEINLINE set_lo(const storage &in) { +#pragma unroll + for (unsigned i = 0; i < LC; i++) + limbs[i] = in.limbs[i]; + } + + void DEVICE_FORCEINLINE set_hi(const storage &in) { +#pragma unroll + for (unsigned i = 0; i < LC; i++) + limbs[i + LC].x = in.limbs[i]; + } + + storage DEVICE_FORCEINLINE get_lo() { + storage out{}; +#pragma unroll + for (unsigned i = 0; i < LC; i++) + out.limbs[i] = limbs[i]; + return out; + } + + storage DEVICE_FORCEINLINE get_hi() { + storage out{}; +#pragma unroll + for (unsigned i = 0; i < LC; i++) + out.limbs[i] = limbs[i + LC].x; + return out; + } +}; + +struct config_fr { + // field structure size = 8 * 32 bit + static constexpr unsigned limbs_count = 8; + // modulus = 21888242871839275222246405745257275088548364400416034343698204186575808495617 + static constexpr storage modulus = {0xf0000001, 0x43e1f593, 0x79b97091, 0x2833e848, 0x8181585d, 0xb85045b6, 0xe131a029, 0x30644e72}; + // modulus*2 = 43776485743678550444492811490514550177096728800832068687396408373151616991234 + static constexpr storage modulus_2 = {0xe0000002, 0x87c3eb27, 0xf372e122, 0x5067d090, 0x0302b0ba, 0x70a08b6d, 0xc2634053, 0x60c89ce5}; + // modulus*4 = 87552971487357100888985622981029100354193457601664137374792816746303233982468 + static constexpr storage modulus_4 = {0xc0000004, 0x0f87d64f, 0xe6e5c245, 0xa0cfa121, 0x06056174, 0xe14116da, 0x84c680a6, 0xc19139cb}; + // modulus^2 + static constexpr storage_wide modulus_squared = {0xe0000001, 0x08c3eb27, 0xdcb34000, 0xc7f26223, 0x68c9bb7f, 0xffe9a62c, 0xe821ddb0, 0xa6ce1975, + 0x47b62fe7, 0x2c77527b, 0xd379d3df, 0x85f73bb0, 0x0348d21c, 0x599a6f7c, 0x763cbf9c, 0x0925c4b8}; + // 2*modulus^2 + static constexpr storage_wide modulus_squared_2 = {0xc0000002, 0x1187d64f, 0xb9668000, 0x8fe4c447, 0xd19376ff, 0xffd34c58, + 0xd043bb61, 0x4d9c32eb, 0x8f6c5fcf, 0x58eea4f6, 0xa6f3a7be, 0x0bee7761, + 0x0691a439, 0xb334def8, 0xec797f38, 0x124b8970}; + // 4*modulus^2 + static constexpr storage_wide modulus_squared_4 = {0x80000004, 0x230fac9f, 0x72cd0000, 0x1fc9888f, 0xa326edff, 0xffa698b1, + 0xa08776c3, 0x9b3865d7, 0x1ed8bf9e, 0xb1dd49ed, 0x4de74f7c, 0x17dceec3, + 0x0d234872, 0x6669bdf0, 0xd8f2fe71, 0x249712e1}; + // r2 = 944936681149208446651664254269745548490766851729442924617792859073125903783 + static constexpr storage r2 = {0xae216da7, 0x1bb8e645, 0xe35c59e3, 0x53fe3ab1, 0x53bb8085, 0x8c49833d, 0x7f4e44a5, 0x0216d0b1}; + // inv + static constexpr uint32_t inv = 0xefffffff; + // 1 in montgomery form + static constexpr storage one = {0x4ffffffb, 0xac96341c, 0x9f60cd29, 0x36fc7695, 0x7879462e, 0x666ea36f, 0x9a07df2f, 0x0e0a77c1}; + static constexpr unsigned modulus_bits_count = 254; + // log2 of order of omega + static constexpr unsigned omega_log_order = 28; + // k=(modulus-1)/(2^omega_log_order) = (21888242871839275222246405745257275088548364400416034343698204186575808495617-1)/(2^28) = + // 81540058820840996586704275553141814055101440848469862132140264610111 + // omega generator is 7 + static constexpr unsigned omega_generator = 7; + // omega = generator^k mod P = 7^81540058820840996586704275553141814055101440848469862132140264610111 mod + // 21888242871839275222246405745257275088548364400416034343698204186575808495617 = + // 1748695177688661943023146337482803886740723238769601073607632802312037301404 = + // omega in montgomery form + static constexpr storage omega = {0xb639feb8, 0x9632c7c5, 0x0d0ff299, 0x985ce340, 0x01b0ecd8, 0xb2dd8800, 0x6d98ce29, 0x1d69070d}; + // inverse of 2 in montgomery form + static constexpr storage two_inv = {0x1ffffffe, 0x783c14d8, 0x0c8d1edd, 0xaf982f6f, 0xfcfd4f45, 0x8f5f7492, 0x3d9cbfac, 0x1f37631a}; +}; + +// Can't make this a member of config_fr. nvcc does not allow __constant__ on members. +extern __device__ __constant__ uint32_t inv_fr; + +template struct ff { + // allows consumers to access the underlying config (e.g., "fd_q::CONFIG") if needed + using CONFIG = FF_CONFIG; + + static constexpr int LPT = CONFIG::limbs_count; + static constexpr int TPF = 1; + static constexpr unsigned TLC = CONFIG::limbs_count; + + typedef storage storage; + typedef storage_wide storage_wide; + + // return number of bits in modulus + static constexpr unsigned MBC = CONFIG::modulus_bits_count; + + // return modulus + template static constexpr DEVICE_FORCEINLINE storage get_modulus() { + switch (MULTIPLIER) { + case 1: + return CONFIG::modulus; + case 2: + return CONFIG::modulus_2; + case 4: + return CONFIG::modulus_4; + default: + return {}; + } + } + + // return modulus^2, helpful for ab +/- cd + template static constexpr DEVICE_FORCEINLINE storage_wide get_modulus_squared() { + switch (MULTIPLIER) { + case 1: + return CONFIG::modulus_squared; + case 2: + return CONFIG::modulus_squared_2; + case 4: + return CONFIG::modulus_squared_4; + default: + return {}; + } + } + + // return r^2 + static constexpr DEVICE_FORCEINLINE storage get_r2() { return CONFIG::r2; } + + // return one in montgomery form + static constexpr DEVICE_FORCEINLINE storage get_one() { return CONFIG::one; } + + template static DEVICE_FORCEINLINE uint32_t add_sub_limbs(const storage &xs, const storage &ys, storage &rs) { + const uint32_t *x = xs.limbs; + const uint32_t *y = ys.limbs; + uint32_t *r = rs.limbs; + carry_chain chain; +#pragma unroll + for (unsigned i = 0; i < TLC; i++) + r[i] = SUBTRACT ? chain.sub(x[i], y[i]) : chain.add(x[i], y[i]); + if (!CARRY_OUT) + return 0; + return SUBTRACT ? chain.sub(0, 0) : chain.add(0, 0); + } + + // If we want, we could make "2*TLC" a template parameter to deduplicate with "storage" overload, but that's a minor issue. + template static DEVICE_FORCEINLINE uint32_t add_sub_limbs(const storage_wide &xs, const storage_wide &ys, storage_wide &rs) { + const uint32_t *x = xs.limbs; + const uint32_t *y = ys.limbs; + uint32_t *r = rs.limbs; + carry_chain chain; +#pragma unroll + for (unsigned i = 0; i < 2 * TLC; i++) { + r[i] = SUBTRACT ? chain.sub(x[i], y[i]) : chain.add(x[i], y[i]); + } + if (!CARRY_OUT) + return 0; + return SUBTRACT ? chain.sub(0, 0) : chain.add(0, 0); + } + + template static DEVICE_FORCEINLINE uint32_t add_limbs(const T &xs, const T &ys, T &rs) { + return add_sub_limbs(xs, ys, rs); + } + + template static DEVICE_FORCEINLINE uint32_t sub_limbs(const T &xs, const T &ys, T &rs) { + return add_sub_limbs(xs, ys, rs); + } + + // return xs == 0 with field operands + static DEVICE_FORCEINLINE bool is_zero(const storage &xs) { + const uint32_t *x = xs.limbs; + uint32_t limbs_or = x[0]; +#pragma unroll + for (unsigned i = 1; i < TLC; i++) + limbs_or |= x[i]; + return limbs_or == 0; + } + + // return xs == ys with field operands + static DEVICE_FORCEINLINE bool eq(const storage &xs, const storage &ys) { + const uint32_t *x = xs.limbs; + const uint32_t *y = ys.limbs; + uint32_t limbs_or = x[0] ^ y[0]; +#pragma unroll + for (unsigned i = 1; i < TLC; i++) + limbs_or |= x[i] ^ y[i]; + return limbs_or == 0; + } + + template static DEVICE_FORCEINLINE storage reduce(const storage &xs) { + if (REDUCTION_SIZE == 0) + return xs; + const storage modulus = get_modulus(); + storage rs = {}; + return sub_limbs(xs, modulus, rs) ? xs : rs; + } + + template static DEVICE_FORCEINLINE storage_wide reduce_wide(const storage_wide &xs) { + if (REDUCTION_SIZE == 0) + return xs; + const storage_wide modulus_squared = get_modulus_squared(); + storage_wide rs = {}; + return sub_limbs(xs, modulus_squared, rs) ? xs : rs; + } + + // return xs + ys with field operands + template static DEVICE_FORCEINLINE storage add(const storage &xs, const storage &ys) { + storage rs = {}; + add_limbs(xs, ys, rs); + return reduce(rs); + } + + template static DEVICE_FORCEINLINE storage_wide add_wide(const storage_wide &xs, const storage_wide &ys) { + storage_wide rs = {}; + add_limbs(xs, ys, rs); + return reduce_wide(rs); + } + + // return xs - ys with field operands + template static DEVICE_FORCEINLINE storage sub(const storage &xs, const storage &ys) { + storage rs = {}; + if (REDUCTION_SIZE == 0) { + sub_limbs(xs, ys, rs); + } else { + uint32_t carry = sub_limbs(xs, ys, rs); + if (carry == 0) + return rs; + const storage modulus = get_modulus(); + add_limbs(rs, modulus, rs); + } + return rs; + } + + template static DEVICE_FORCEINLINE storage_wide sub_wide(const storage_wide &xs, const storage_wide &ys) { + storage_wide rs = {}; + if (REDUCTION_SIZE == 0) { + sub_limbs(xs, ys, rs); + } else { + uint32_t carry = sub_limbs(xs, ys, rs); + if (carry == 0) + return rs; + const storage_wide modulus_squared = get_modulus_squared(); + add_limbs(rs, modulus_squared, rs); + } + return rs; + } + + // The following algorithms are adaptations of + // http://www.acsel-lab.com/arithmetic/arith23/data/1616a047.pdf, + // taken from https://github.com/z-prize/test-msm-gpu (under Apache 2.0 license) + // and modified to use our datatypes. + // We had our own implementation of http://www.acsel-lab.com/arithmetic/arith23/data/1616a047.pdf, + // but the sppark versions achieved lower instruction count thanks to clever carry handling, + // so we decided to just use theirs. + + static DEVICE_FORCEINLINE void mul_n(uint32_t *acc, const uint32_t *a, uint32_t bi, size_t n = TLC) { +#pragma unroll + for (size_t i = 0; i < n; i += 2) { + acc[i] = ptx::mul_lo(a[i], bi); + acc[i + 1] = ptx::mul_hi(a[i], bi); + } + } + + static DEVICE_FORCEINLINE void cmad_n(uint32_t *acc, const uint32_t *a, uint32_t bi, size_t n = TLC) { + acc[0] = ptx::mad_lo_cc(a[0], bi, acc[0]); + acc[1] = ptx::madc_hi_cc(a[0], bi, acc[1]); +#pragma unroll + for (size_t i = 2; i < n; i += 2) { + acc[i] = ptx::madc_lo_cc(a[i], bi, acc[i]); + acc[i + 1] = ptx::madc_hi_cc(a[i], bi, acc[i + 1]); + } + // return carry flag + } + + static DEVICE_FORCEINLINE void madc_n_rshift(uint32_t *odd, const uint32_t *a, uint32_t bi) { + constexpr uint32_t n = TLC; +#pragma unroll + for (size_t i = 0; i < n - 2; i += 2) { + odd[i] = ptx::madc_lo_cc(a[i], bi, odd[i + 2]); + odd[i + 1] = ptx::madc_hi_cc(a[i], bi, odd[i + 3]); + } + odd[n - 2] = ptx::madc_lo_cc(a[n - 2], bi, 0); + odd[n - 1] = ptx::madc_hi(a[n - 2], bi, 0); + } + + static DEVICE_FORCEINLINE void mad_n_redc(uint32_t *even, uint32_t *odd, const uint32_t *a, uint32_t bi, bool first = false) { + constexpr uint32_t n = TLC; + constexpr auto modulus = CONFIG::modulus; + const uint32_t *const MOD = modulus.limbs; + if (first) { + mul_n(odd, a + 1, bi); + mul_n(even, a, bi); + } else { + even[0] = ptx::add_cc(even[0], odd[1]); + madc_n_rshift(odd, a + 1, bi); + cmad_n(even, a, bi); + odd[n - 1] = ptx::addc(odd[n - 1], 0); + } + uint32_t mi = even[0] * INV; + cmad_n(odd, MOD + 1, mi); + cmad_n(even, MOD, mi); + odd[n - 1] = ptx::addc(odd[n - 1], 0); + } + + static DEVICE_FORCEINLINE void mad_row(uint32_t *odd, uint32_t *even, const uint32_t *a, uint32_t bi, size_t n = TLC) { + cmad_n(odd, a + 1, bi, n - 2); + odd[n - 2] = ptx::madc_lo_cc(a[n - 1], bi, 0); + odd[n - 1] = ptx::madc_hi(a[n - 1], bi, 0); + cmad_n(even, a, bi, n); + odd[n - 1] = ptx::addc(odd[n - 1], 0); + } + + static DEVICE_FORCEINLINE void qad_row(uint32_t *odd, uint32_t *even, const uint32_t *a, uint32_t bi, size_t n = TLC) { + cmad_n(odd, a, bi, n - 2); + odd[n - 2] = ptx::madc_lo_cc(a[n - 2], bi, 0); + odd[n - 1] = ptx::madc_hi(a[n - 2], bi, 0); + cmad_n(even, a + 1, bi, n - 2); + odd[n - 1] = ptx::addc(odd[n - 1], 0); + } + + static DEVICE_FORCEINLINE void multiply_raw(const storage &as, const storage &bs, storage_wide &rs) { + const uint32_t *a = as.limbs; + const uint32_t *b = bs.limbs; + uint32_t *even = rs.limbs; + __align__(8) uint32_t odd[2 * TLC - 2]; + mul_n(even, a, b[0]); + mul_n(odd, a + 1, b[0]); + mad_row(&even[2], &odd[0], a, b[1]); + size_t i; +#pragma unroll + for (i = 2; i < TLC - 1; i += 2) { + mad_row(&odd[i], &even[i], a, b[i]); + mad_row(&even[i + 2], &odd[i], a, b[i + 1]); + } + // merge |even| and |odd| + even[1] = ptx::add_cc(even[1], odd[0]); + for (i = 1; i < 2 * TLC - 2; i++) + even[i + 1] = ptx::addc_cc(even[i + 1], odd[i]); + even[i + 1] = ptx::addc(even[i + 1], 0); + } + + static DEVICE_FORCEINLINE void sqr_raw(const storage &as, storage_wide &rs) { + const uint32_t *a = as.limbs; + uint32_t *even = rs.limbs; + size_t i = 0, j; + __align__(8) uint32_t odd[2 * TLC - 2]; + + // perform |a[i]|*|a[j]| for all j>i + mul_n(even + 2, a + 2, a[0], TLC - 2); + mul_n(odd, a + 1, a[0], TLC); + +#pragma unroll + while (i < TLC - 4) { + ++i; + mad_row(&even[2 * i + 2], &odd[2 * i], &a[i + 1], a[i], TLC - i - 1); + ++i; + qad_row(&odd[2 * i], &even[2 * i + 2], &a[i + 1], a[i], TLC - i); + } + + even[2 * TLC - 4] = ptx::mul_lo(a[TLC - 1], a[TLC - 3]); + even[2 * TLC - 3] = ptx::mul_hi(a[TLC - 1], a[TLC - 3]); + odd[2 * TLC - 6] = ptx::mad_lo_cc(a[TLC - 2], a[TLC - 3], odd[2 * TLC - 6]); + odd[2 * TLC - 5] = ptx::madc_hi_cc(a[TLC - 2], a[TLC - 3], odd[2 * TLC - 5]); + even[2 * TLC - 3] = ptx::addc(even[2 * TLC - 3], 0); + + odd[2 * TLC - 4] = ptx::mul_lo(a[TLC - 1], a[TLC - 2]); + odd[2 * TLC - 3] = ptx::mul_hi(a[TLC - 1], a[TLC - 2]); + + // merge |even[2:]| and |odd[1:]| + even[2] = ptx::add_cc(even[2], odd[1]); + for (j = 2; j < 2 * TLC - 3; j++) + even[j + 1] = ptx::addc_cc(even[j + 1], odd[j]); + even[j + 1] = ptx::addc(odd[j], 0); + + // double |even| + even[0] = 0; + even[1] = ptx::add_cc(odd[0], odd[0]); + for (j = 2; j < 2 * TLC - 1; j++) + even[j] = ptx::addc_cc(even[j], even[j]); + even[j] = ptx::addc(0, 0); + + // accumulate "diagonal" |a[i]|*|a[i]| product + i = 0; + even[2 * i] = ptx::mad_lo_cc(a[i], a[i], even[2 * i]); + even[2 * i + 1] = ptx::madc_hi_cc(a[i], a[i], even[2 * i + 1]); + for (++i; i < TLC; i++) { + even[2 * i] = ptx::madc_lo_cc(a[i], a[i], even[2 * i]); + even[2 * i + 1] = ptx::madc_hi_cc(a[i], a[i], even[2 * i + 1]); + } + } + + static DEVICE_FORCEINLINE void mul_by_1_row(uint32_t *even, uint32_t *odd, bool first = false) { + uint32_t mi; + constexpr auto modulus = CONFIG::modulus; + const uint32_t *const MOD = modulus.limbs; + if (first) { + mi = even[0] * INV; + mul_n(odd, MOD + 1, mi); + cmad_n(even, MOD, mi); + odd[TLC - 1] = ptx::addc(odd[TLC - 1], 0); + } else { + even[0] = ptx::add_cc(even[0], odd[1]); + // we trust the compiler to *not* touch the carry flag here + // this code sits in between two "asm volatile" instructions which should guarantee that nothing else interferes with the carry flag + mi = even[0] * INV; + madc_n_rshift(odd, MOD + 1, mi); + cmad_n(even, MOD, mi); + odd[TLC - 1] = ptx::addc(odd[TLC - 1], 0); + } + } + + // Performs Montgomery reduction on a storage_wide input. Input value must be in the range [0, mod*2^(32*TLC)). + // Does not implement an in-place reduce epilogue. If you want to further reduce the result, + // call reduce(xs.get_lo()) after the call to redc_wide_inplace. + static DEVICE_FORCEINLINE void redc_wide_inplace(storage_wide &xs) { + uint32_t *even = xs.limbs; + // Yields montmul of lo TLC limbs * 1. + // Since the hi TLC limbs don't participate in computing the "mi" factor at each mul-and-rightshift stage, + // it's ok to ignore the hi TLC limbs during this process and just add them in afterward. + uint32_t odd[TLC]; + size_t i; +#pragma unroll + for (i = 0; i < TLC; i += 2) { + mul_by_1_row(&even[0], &odd[0], i == 0); + mul_by_1_row(&odd[0], &even[0]); + } + even[0] = ptx::add_cc(even[0], odd[1]); +#pragma unroll + for (i = 1; i < TLC - 1; i++) + even[i] = ptx::addc_cc(even[i], odd[i + 1]); + even[i] = ptx::addc(even[i], 0); + // Adds in (hi TLC limbs), implicitly right-shifting them by TLC limbs as if they had participated in the + // add-and-rightshift stages above. + xs.limbs[0] = ptx::add_cc(xs.limbs[0], xs.limbs[TLC]); +#pragma unroll + for (i = 1; i < TLC - 1; i++) + xs.limbs[i] = ptx::addc_cc(xs.limbs[i], xs.limbs[i + TLC]); + xs.limbs[TLC - 1] = ptx::addc(xs.limbs[TLC - 1], xs.limbs[2 * TLC - 1]); + } + + static DEVICE_FORCEINLINE void montmul_raw(const storage &a_in, const storage &b_in, storage &r_in) { + constexpr uint32_t n = TLC; + const uint32_t *a = a_in.limbs; + const uint32_t *b = b_in.limbs; + uint32_t *even = r_in.limbs; + __align__(8) uint32_t odd[n + 1]; + size_t i; +#pragma unroll + for (i = 0; i < n; i += 2) { + mad_n_redc(&even[0], &odd[0], a, b[i], i == 0); + mad_n_redc(&odd[0], &even[0], a, b[i + 1]); + } + // merge |even| and |odd| + even[0] = ptx::add_cc(even[0], odd[1]); +#pragma unroll + for (i = 1; i < n - 1; i++) + even[i] = ptx::addc_cc(even[i], odd[i + 1]); + even[i] = ptx::addc(even[i], 0); + // final reduction from [0, 2*mod) to [0, mod) not done here, instead performed optionally in mul_device wrapper + } + + // Returns xs * ys without Montgomery reduction. + template static DEVICE_FORCEINLINE storage_wide mul_wide(const storage &xs, const storage &ys) { + // Forces us to think more carefully about the last carry bit if we use a modulus with fewer than 2 leading zeroes of slack + static_assert(!(CONFIG::modulus.limbs[TLC - 1] >> 30)); + storage_wide rs = {0}; + multiply_raw(xs, ys, rs); + return reduce_wide(rs); + } + + // Performs Montgomery reduction on a storage_wide input. Input value must be in the range [0, mod*2^(32*TLC)). + template static DEVICE_FORCEINLINE storage redc_wide(const storage_wide &xs) { + storage_wide tmp{xs}; + redc_wide_inplace(tmp); // after reduce_twopass, tmp's low TLC limbs should represent a value in [0, 2*mod) + return reduce(tmp.get_lo()); + } + + // return xs * ys with field operands + // Device path adapts http://www.acsel-lab.com/arithmetic/arith23/data/1616a047.pdf to use IMAD.WIDE. + template static DEVICE_FORCEINLINE storage mul(const storage &xs, const storage &ys) { + // Forces us to think more carefully about the last carry bit if we use a modulus with fewer than 2 leading zeroes of slack + static_assert(!(CONFIG::modulus.limbs[TLC - 1] >> 30)); + storage rs = {0}; + montmul_raw(xs, ys, rs); + return reduce(rs); + } + + // return xs^2 with field operands + template static DEVICE_FORCEINLINE storage sqr(const storage &xs) { + // Forces us to think more carefully about the last carry bit if we use a modulus with fewer than 2 leading zeroes of slack + static_assert(!(CONFIG::modulus.limbs[TLC - 1] >> 30)); + storage_wide rs = {0}; + sqr_raw(xs, rs); + redc_wide_inplace(rs); // after reduce_twopass, tmp's low TLC limbs should represent a value in [0, 2*mod) + return reduce(rs.get_lo()); + } + + // convert field to montgomery form + template static DEVICE_FORCEINLINE storage to_montgomery(const storage &xs) { + constexpr storage r2 = CONFIG::r2; + return mul(xs, r2); + } + + // convert field from montgomery form + template static DEVICE_FORCEINLINE storage from_montgomery(const storage &xs) { return mul(xs, {1}); } + + // return 2*x with field operands + template static DEVICE_FORCEINLINE storage dbl(const storage &xs) { + const uint32_t *x = xs.limbs; + storage rs = {}; + uint32_t *r = rs.limbs; + r[0] = x[0] << 1; +#pragma unroll + for (unsigned i = 1; i < TLC; i++) + r[i] = __funnelshift_r(x[i - 1], x[i], 31); + return reduce(rs); + } + + // return x/2 with field operands + template static DEVICE_FORCEINLINE storage div2(const storage &xs) { + const uint32_t *x = xs.limbs; + storage rs = {}; + uint32_t *r = rs.limbs; +#pragma unroll + for (unsigned i = 0; i < TLC - 1; i++) + r[i] = __funnelshift_rc(x[i], x[i + 1], 1); + r[TLC - 1] = x[TLC - 1] >> 1; + return reduce(rs); + } + + // return -xs with field operand + template static DEVICE_FORCEINLINE storage neg(const storage &xs) { + const storage modulus = get_modulus(); + storage rs = {}; + sub_limbs(modulus, xs, rs); + return rs; + } + + // extract a given count of bits at a given offset from the field + static DEVICE_FORCEINLINE uint32_t extract_bits(const storage &xs, const unsigned offset, const unsigned count) { + const unsigned limb_index = offset / warpSize; + const uint32_t *x = xs.limbs; + const uint32_t low_limb = x[limb_index]; + const uint32_t high_limb = limb_index < (TLC - 1) ? x[limb_index + 1] : 0; + uint32_t result = __funnelshift_r(low_limb, high_limb, offset); + result &= (1 << count) - 1; + return result; + } + + template + static DEVICE_FORCEINLINE storage mul(const unsigned scalar, const storage &xs) { + storage rs = {}; + storage temp = xs; + unsigned l = scalar; + bool is_zero = true; +#pragma unroll + for (unsigned i = 0; i < 32; i++) { + if (l & 1) { + rs = is_zero ? temp : (l >> 1) ? add(rs, temp) : add(rs, temp); + is_zero = false; + } + l >>= 1; + if (l == 0) + break; + temp = dbl(temp); + } + return rs; + } + + static DEVICE_FORCEINLINE bool is_odd(const storage &xs) { return xs.limbs[0] & 1; } + + static DEVICE_FORCEINLINE bool is_even(const storage &xs) { return ~xs.limbs[0] & 1; } + + static DEVICE_FORCEINLINE bool lt(const storage &xs, const storage &ys) { + storage dummy = {}; + uint32_t carry = sub_limbs(xs, ys, dummy); + return carry; + } + + static DEVICE_FORCEINLINE storage inverse(const storage &xs) { + if (is_zero(xs)) + return xs; + constexpr storage one = {1}; + constexpr storage modulus = CONFIG::modulus; + storage u = xs; + storage v = modulus; + storage b = CONFIG::r2; + storage c = {}; + while (!eq(u, one) && !eq(v, one)) { + while (is_even(u)) { + u = div2(u); + if (is_odd(b)) + add_limbs(b, modulus, b); + b = div2(b); + } + while (is_even(v)) { + v = div2(v); + if (is_odd(c)) + add_limbs(c, modulus, c); + c = div2(c); + } + if (lt(v, u)) { + sub_limbs(u, v, u); + b = sub(b, c); + } else { + sub_limbs(v, u, v); + c = sub(c, b); + } + } + return eq(u, one) ? b : c; + } +}; + +typedef ff fr; + +} // namespace bn254 \ No newline at end of file diff --git a/crates/boojum-cuda/native/common.cuh b/crates/boojum-cuda/native/common.cuh index 7d83351..c7828ed 100644 --- a/crates/boojum-cuda/native/common.cuh +++ b/crates/boojum-cuda/native/common.cuh @@ -1,7 +1,6 @@ #pragma once -#include -#include +#include #include #ifdef __CUDA_ARCH__ diff --git a/crates/boojum-cuda/native/context.cuh b/crates/boojum-cuda/native/context.cuh index 6194abe..9785df6 100644 --- a/crates/boojum-cuda/native/context.cuh +++ b/crates/boojum-cuda/native/context.cuh @@ -6,7 +6,7 @@ using namespace goldilocks; namespace goldilocks { -static constexpr unsigned OMEGA_LOG_ORDER = 24; +static constexpr unsigned OMEGA_LOG_ORDER = 30; struct powers_layer_data { const base_field *values; diff --git a/crates/boojum-cuda/native/gate_kernels_template.cuh b/crates/boojum-cuda/native/gate_kernels.cuh.template similarity index 100% rename from crates/boojum-cuda/native/gate_kernels_template.cuh rename to crates/boojum-cuda/native/gate_kernels.cuh.template diff --git a/crates/boojum-cuda/native/gates.cu b/crates/boojum-cuda/native/gates.cu index dfad4da..e1ee97a 100644 --- a/crates/boojum-cuda/native/gates.cu +++ b/crates/boojum-cuda/native/gates.cu @@ -1,4 +1,4 @@ #include "gates.cuh" -#include "gates_poseidon.cuh" +#include "poseidon2/gl/poseidon2_gl_gates.cuh" // do not reorder includes #include "gate_kernels.cuh" diff --git a/crates/boojum-cuda/native/goldilocks.cuh b/crates/boojum-cuda/native/goldilocks.cuh index 217c6bd..d0f5cfd 100644 --- a/crates/boojum-cuda/native/goldilocks.cuh +++ b/crates/boojum-cuda/native/goldilocks.cuh @@ -202,7 +202,7 @@ template struct __align__(LIMBS_ALIGNMENT(LIMBS_COUNT)) f return y; } - template static DEVICE_FORCEINLINE void swap(T & x, T & y) { + template static DEVICE_FORCEINLINE void swap(T &x, T &y) { T temp = x; x = y; y = temp; @@ -221,7 +221,7 @@ template struct __align__(LIMBS_ALIGNMENT(LIMBS_COUNT)) f return shl(y, s); } - static DEVICE_FORCEINLINE void inv_safe_iteration(uint64_t & f, uint64_t & g, field<4> & c, field<4> & d, unsigned &k) { + static DEVICE_FORCEINLINE void inv_safe_iteration(uint64_t &f, uint64_t &g, field<4> &c, field<4> &d, unsigned &k) { if (f < g) { swap(f, g); swap(c, d); @@ -243,7 +243,7 @@ template struct __align__(LIMBS_ALIGNMENT(LIMBS_COUNT)) f } } - static DEVICE_FORCEINLINE void inv_unsafe_iteration(uint64_t & f, uint64_t & g, field<4> & c, field<4> & d, unsigned &k) { + static DEVICE_FORCEINLINE void inv_unsafe_iteration(uint64_t &f, uint64_t &g, field<4> &c, field<4> &d, unsigned &k) { if (f < g) { swap(f, g); swap(c, d); diff --git a/crates/boojum-cuda/native/memory.cuh b/crates/boojum-cuda/native/memory.cuh index 2f397bb..cd5f37e 100644 --- a/crates/boojum-cuda/native/memory.cuh +++ b/crates/boojum-cuda/native/memory.cuh @@ -1,5 +1,6 @@ #pragma once +#include "common.cuh" #include #include diff --git a/crates/boojum-cuda/native/ops_complex.cu b/crates/boojum-cuda/native/ops_complex.cu index c3831f5..8b79b6f 100644 --- a/crates/boojum-cuda/native/ops_complex.cu +++ b/crates/boojum-cuda/native/ops_complex.cu @@ -1,6 +1,5 @@ #include "goldilocks.cuh" #include "ops_complex.cuh" -#include namespace goldilocks { @@ -226,8 +225,8 @@ EXTERN __global__ void pack_variable_indexes_kernel(const uint64_t *src, uint32_ const auto u64 = memory::load_cs(src + gid); const auto tuple = ptx::u64::unpack(u64); const uint32_t MASK = 1U << 31; - const auto lo = std::get<0>(tuple) & ~MASK; - const auto hi = std::get<1>(tuple) & MASK; + const auto lo = cuda::std::get<0>(tuple) & ~MASK; + const auto hi = cuda::std::get<1>(tuple) & MASK; auto u32 = lo | hi; memory::store_cs(dst + gid, u32); } @@ -284,8 +283,8 @@ EXTERN __global__ void set_values_from_packed_bits_kernel(const uint32_t *packed } } -EXTERN __global__ void fold_kernel(const base_field coset_inverse, const extension_field *challenge, const ef_double_vector_getter src, - ef_double_vector_setter dst, const unsigned log_count) { +EXTERN __global__ void fold_kernel(const base_field coset_inverse, const extension_field *challenge, const unsigned root_offset, + const ef_double_vector_getter src, ef_double_vector_setter dst, const unsigned log_count) { const unsigned gid = blockIdx.x * blockDim.x + threadIdx.x; if (gid >= 1 << log_count) return; @@ -294,7 +293,7 @@ EXTERN __global__ void fold_kernel(const base_field coset_inverse, const extensi const extension_field odd = src.get(2 * gid + 1); const extension_field sum = extension_field::add(even, odd); extension_field diff = extension_field::sub(even, odd); - const unsigned root_index = __brev(gid) >> (32 - OMEGA_LOG_ORDER + 1); + const unsigned root_index = __brev(gid + root_offset) >> (32 - OMEGA_LOG_ORDER + 1); const base_field root = get_power_of_w(root_index, true); diff = extension_field::mul(diff, base_field::mul(root, coset_inverse)); diff = extension_field::mul(diff, *challenge); diff --git a/crates/boojum-cuda/native/poseidon2/bn/poseidon2_bn.cuh b/crates/boojum-cuda/native/poseidon2/bn/poseidon2_bn.cuh new file mode 100644 index 0000000..cbe03b5 --- /dev/null +++ b/crates/boojum-cuda/native/poseidon2/bn/poseidon2_bn.cuh @@ -0,0 +1,21 @@ +#pragma once +#include "../../bn254.cuh" +#include "../../goldilocks.cuh" +#include "poseidon2_bn_constants.cuh" + +namespace poseidon2::bn254 { + +using namespace ::bn254; +using namespace ::goldilocks; +using namespace memory; + +typedef base_field gl; +typedef fr::storage bn; + +constexpr unsigned STATE_WIDTH = RATE + CAPACITY; +constexpr unsigned NUM_FULL_ROUNDS = 2 * HALF_NUM_FULL_ROUNDS; +constexpr unsigned NUM_ALL_ROUNDS = NUM_FULL_ROUNDS + NUM_PARTIAL_ROUNDS; + +__constant__ constexpr bn ROUND_CONSTANTS[NUM_ALL_ROUNDS][STATE_WIDTH] = ROUND_CONSTANTS_VALUES; + +} // namespace poseidon2::bn254 diff --git a/crates/boojum-cuda/native/poseidon2/bn/poseidon2_bn_constants.cuh.template b/crates/boojum-cuda/native/poseidon2/bn/poseidon2_bn_constants.cuh.template new file mode 100644 index 0000000..db18454 --- /dev/null +++ b/crates/boojum-cuda/native/poseidon2/bn/poseidon2_bn_constants.cuh.template @@ -0,0 +1,11 @@ +// clang-format off +#pragma once + +#define RATE %RATE% +#define CAPACITY %CAPACITY% +#define CHUNK_BY %CHUNK_BY% +#define HALF_NUM_FULL_ROUNDS %HALF_NUM_FULL_ROUNDS% +#define NUM_PARTIAL_ROUNDS %NUM_PARTIAL_ROUNDS% +#define ROUND_CONSTANTS_VALUES %ROUND_CONSTANTS_VALUES% + +// clang-format on \ No newline at end of file diff --git a/crates/boojum-cuda/native/poseidon2/bn/poseidon2_bn_mt.cu b/crates/boojum-cuda/native/poseidon2/bn/poseidon2_bn_mt.cu new file mode 100644 index 0000000..b278383 --- /dev/null +++ b/crates/boojum-cuda/native/poseidon2/bn/poseidon2_bn_mt.cu @@ -0,0 +1,124 @@ +#include "poseidon2_bn.cuh" + +namespace poseidon2::bn254 { + +typedef bn poseidon_state[STATE_WIDTH]; +typedef bn poseidon_shared_state[STATE_WIDTH][32]; + +template static DEVICE_FORCEINLINE void apply_round_constants(bn &state, const unsigned round, const unsigned wid) { + if (IS_FULL_ROUND || wid == 0) + state = fr::add(state, ROUND_CONSTANTS[round][wid]); +} + +template static DEVICE_FORCEINLINE void apply_non_linearity(bn &state, const unsigned wid) { + if (IS_FULL_ROUND || wid == 0) + state = fr::mul(fr::sqr(fr::sqr(state)), state); +} + +static DEVICE_FORCEINLINE void apply_M_eps_matrix(bn &state, const unsigned tid, const unsigned wid) { + static_assert(STATE_WIDTH == 3); + __shared__ poseidon_shared_state shared_state; + __syncthreads(); + shared_state[wid][tid] = state; + __syncthreads(); + // Matrix circ(2, 1, 1) + const bn sum = fr::add(fr::add(shared_state[0][tid], shared_state[1][tid]), shared_state[2][tid]); + state = fr::add(state, sum); +} + +static DEVICE_FORCEINLINE void apply_M_I_matrix(bn &state, const unsigned tid, const unsigned wid) { + static_assert(STATE_WIDTH == 3); + __shared__ poseidon_shared_state shared_state; + __syncthreads(); + shared_state[wid][tid] = state; + __syncthreads(); + // [2, 1, 1] + // [1, 2, 1] + // [1, 1, 3] + const bn sum = fr::add(fr::add(shared_state[0][tid], shared_state[1][tid]), shared_state[2][tid]); + if (wid == 2) + state = fr::dbl(state); + state = fr::add(state, sum); +} + +// https://eprint.iacr.org/2023/323.pdf Fig. 1 +static DEVICE_FORCEINLINE void permutation(bn &state, const unsigned tid, const unsigned wid) { + apply_M_eps_matrix(state, tid, wid); +#pragma unroll + for (unsigned round = 0; round < NUM_ALL_ROUNDS; round++) { + if (round < HALF_NUM_FULL_ROUNDS || round >= HALF_NUM_FULL_ROUNDS + NUM_PARTIAL_ROUNDS) { + apply_round_constants(state, round, wid); + apply_non_linearity(state, wid); + apply_M_eps_matrix(state, tid, wid); + } else { + apply_round_constants(state, round, wid); + apply_non_linearity(state, wid); + apply_M_I_matrix(state, tid, wid); + } + } +} + +EXTERN __global__ void poseidon2_bn_mt_leaves_kernel(const gl *values, bn *results, const unsigned rows_count, const unsigned cols_count, const unsigned count, + const bool load_intermediate, const bool store_intermediate) { + static_assert(RATE == 2); + static_assert(CAPACITY == 1); + static_assert(CHUNK_BY == 3); + const unsigned int tid = threadIdx.x; + const unsigned wid = threadIdx.y; + const unsigned gid = tid + blockIdx.x * blockDim.x; + if (gid >= count) + return; + bn state{}; + if (wid >= STATE_WIDTH - CAPACITY && load_intermediate) { + const auto intermediate_results = results + gid + (wid - (STATE_WIDTH - CAPACITY)) * count; + state = load_cs(intermediate_results); + } + values += gid * rows_count; + const unsigned values_count = rows_count * cols_count; + for (unsigned offset = 0; offset < (store_intermediate ? values_count : values_count + 1);) { + if (wid < RATE) { + offset += wid * CHUNK_BY; +#pragma unroll + for (unsigned j = 0; j < CHUNK_BY; j++, offset++) { + const unsigned row = offset % rows_count; + const unsigned col = offset / rows_count; + reinterpret_cast(&state)[j] = col < cols_count ? load_cs(values + row + col * rows_count * count) : (offset == values_count ? gl{1} : gl{}); + } +#pragma unroll + for (unsigned j = CHUNK_BY * 2; j < fr::TLC; j++) + state.limbs[j] = 0; + state = fr::to_montgomery(state); + offset += (RATE - wid - 1) * CHUNK_BY; + } else + offset += RATE * CHUNK_BY; + permutation(state, tid, wid); + } + results += gid; + if (store_intermediate) { + if (wid >= STATE_WIDTH - CAPACITY) + store_cs(results + (wid - (STATE_WIDTH - CAPACITY)) * count, state); + } else { + if (wid < CAPACITY) + store_cs(results + wid * count, state); + } +} + +EXTERN __global__ void poseidon2_bn_mt_nodes_kernel(const bn *values, bn *results, const unsigned count) { + static_assert(RATE == 2); + static_assert(CAPACITY == 1); + const unsigned int tid = threadIdx.x; + const unsigned wid = threadIdx.y; + const unsigned gid = tid + blockIdx.x * blockDim.x; + if (gid >= count) + return; + bn state{}; + values += gid * 2; + if (wid < RATE) + state = load_cs(values + wid % 2 + wid / 2 * count * 2); + permutation(state, tid, wid); + results += gid; + if (wid < CAPACITY) + store_cs(results + wid * count, state); +} + +} // namespace poseidon2::bn254 diff --git a/crates/boojum-cuda/native/poseidon2/bn/poseidon2_bn_queries.cu b/crates/boojum-cuda/native/poseidon2/bn/poseidon2_bn_queries.cu new file mode 100644 index 0000000..78c2a5e --- /dev/null +++ b/crates/boojum-cuda/native/poseidon2/bn/poseidon2_bn_queries.cu @@ -0,0 +1,21 @@ +#include "../queries.cuh" +#include "poseidon2_bn.cuh" + +namespace poseidon2::bn254 { + +using namespace memory; + +typedef goldilocks::base_field gl; +typedef ::bn254::fr::storage bn; + +EXTERN __global__ void poseidon2_bn_gather_rows_kernel(const unsigned *indexes, const unsigned indexes_count, const matrix_getter values, + const matrix_setter results) { + gather_rows(indexes, indexes_count, values, results); +} + +EXTERN __global__ void poseidon2_bn_gather_merkle_paths_kernel(const unsigned *indexes, const unsigned indexes_count, const bn *values, + const unsigned log_leaves_count, bn *results) { + gather_merkle_paths(indexes, indexes_count, values, log_leaves_count, results); +} + +} // namespace poseidon2::bn254 \ No newline at end of file diff --git a/crates/boojum-cuda/native/poseidon2/bn/poseidon2_bn_st.cu b/crates/boojum-cuda/native/poseidon2/bn/poseidon2_bn_st.cu new file mode 100644 index 0000000..a091c14 --- /dev/null +++ b/crates/boojum-cuda/native/poseidon2/bn/poseidon2_bn_st.cu @@ -0,0 +1,123 @@ +#include "poseidon2_bn.cuh" + +namespace poseidon2::bn254 { + +typedef bn poseidon_state[STATE_WIDTH]; + +template static DEVICE_FORCEINLINE void apply_round_constants(poseidon_state &state, const unsigned round) { + const auto rc = ROUND_CONSTANTS[round]; +#pragma unroll + for (unsigned i = 0; i < (IS_FULL_ROUND ? STATE_WIDTH : 1); i++) + state[i] = fr::add(state[i], rc[i]); +} + +template static DEVICE_FORCEINLINE void apply_non_linearity(poseidon_state &state) { +#pragma unroll + for (unsigned i = 0; i < (IS_FULL_ROUND ? STATE_WIDTH : 1); i++) { + state[i] = fr::mul(fr::sqr(fr::sqr(state[i])), state[i]); + } +} + +static DEVICE_FORCEINLINE void apply_M_eps_matrix(poseidon_state &state) { + static_assert(STATE_WIDTH == 3); + // Matrix circ(2, 1, 1) + const bn sum = fr::add(fr::add(state[0], state[1]), state[2]); + state[0] = fr::add(state[0], sum); + state[1] = fr::add(state[1], sum); + state[2] = fr::add(state[2], sum); +} + +static DEVICE_FORCEINLINE void apply_M_I_matrix(poseidon_state &state) { + static_assert(STATE_WIDTH == 3); + // [2, 1, 1] + // [1, 2, 1] + // [1, 1, 3] + const bn sum = fr::add(fr::add(state[0], state[1]), state[2]); + state[0] = fr::add(state[0], sum); + state[1] = fr::add(state[1], sum); + state[2] = fr::add(fr::dbl(state[2]), sum); +} +// https://eprint.iacr.org/2023/323.pdf Fig. 1 +static DEVICE_FORCEINLINE void permutation(poseidon_state &state) { + apply_M_eps_matrix(state); +#pragma unroll + for (unsigned round = 0; round < NUM_ALL_ROUNDS; round++) { + if (round < HALF_NUM_FULL_ROUNDS || round >= HALF_NUM_FULL_ROUNDS + NUM_PARTIAL_ROUNDS) { + apply_round_constants(state, round); + apply_non_linearity(state); + apply_M_eps_matrix(state); + } else { + apply_round_constants(state, round); + apply_non_linearity(state); + apply_M_I_matrix(state); + } + } +} + +EXTERN __global__ void poseidon2_bn_st_leaves_kernel(const gl *values, bn *results, const unsigned rows_count, const unsigned cols_count, const unsigned count, + const bool load_intermediate, const bool store_intermediate) { + static_assert(RATE == 2); + static_assert(CAPACITY == 1); + static_assert(CHUNK_BY == 3); + const unsigned gid = threadIdx.x + blockIdx.x * blockDim.x; + if (gid >= count) + return; + poseidon_state state{}; + if (load_intermediate) { + auto intermediate_results = results + gid; +#pragma unroll + for (unsigned i = STATE_WIDTH - CAPACITY; i < STATE_WIDTH; i++, intermediate_results += count) + state[i] = load_cs(intermediate_results); + } + values += gid * rows_count; + const unsigned values_count = rows_count * cols_count; + for (unsigned offset = 0; offset < (store_intermediate ? values_count : values_count + 1);) { +#pragma unroll + for (unsigned i = 0; i < RATE; i++) { + auto s = state[i]; +#pragma unroll + for (unsigned j = 0; j < CHUNK_BY; j++, offset++) { + const unsigned row = offset % rows_count; + const unsigned col = offset / rows_count; + reinterpret_cast(&s)[j] = col < cols_count ? load_cs(values + row + col * rows_count * count) : (offset == values_count ? gl{1} : gl{}); + } +#pragma unroll + for (unsigned j = CHUNK_BY * 2; j < fr::TLC; j++) + s.limbs[j] = 0; + state[i] = fr::to_montgomery(s); + } + permutation(state); + } + results += gid; + if (store_intermediate) { +#pragma unroll + for (unsigned i = STATE_WIDTH - CAPACITY; i < STATE_WIDTH; i++, results += count) + store_cs(results, state[i]); + } else { +#pragma unroll + for (unsigned i = 0; i < CAPACITY; i++, results += count) + store_cs(results, state[i]); + } +} + +EXTERN __global__ void poseidon2_bn_st_nodes_kernel(const bn *values, bn *results, const unsigned count) { + static_assert(RATE == 2); + static_assert(CAPACITY == 1); + const unsigned gid = threadIdx.x + blockIdx.x * blockDim.x; + if (gid >= count) + return; + poseidon_state state{}; + values += gid * 2; +#pragma unroll + for (unsigned i = 0; i < CAPACITY; i++, values += count * 2) { + state[i] = load_cs(values); + state[i + CAPACITY] = load_cs(values + 1); + } + permutation(state); + results += gid; +#pragma unroll + for (unsigned i = 0; i < CAPACITY; i++, results += count) + store_cs(results, state[i]); +} + +} // namespace poseidon2::bn254 diff --git a/crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl.cuh b/crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl.cuh new file mode 100644 index 0000000..c8e93ef --- /dev/null +++ b/crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl.cuh @@ -0,0 +1,27 @@ +#pragma once + +#include "../../goldilocks.cuh" +#include "poseidon2_gl_constants.cuh" + +namespace poseidon2::goldilocks { + +using namespace ::goldilocks; + +// https://eprint.iacr.org/2023/323.pdf Appendix B +static DEVICE_FORCEINLINE void m4_times_tile(field<3> *tile) { + typedef field<3> f; + const f t0 = f::add_limbs(tile[0], tile[1]); // t0 = x[0] + x[1] + const f t1 = f::add_limbs(tile[2], tile[3]); // t1 = x[2] + x[3] + const f t2 = f::add_limbs(f::shl(tile[1], 1), t1); // t2 = 2 * x[1] + t1 + const f t3 = f::add_limbs(f::shl(tile[3], 1), t0); // t3 = 2 * x[3] + t0 + const f t4 = f::add_limbs(f::shl(t1, 2), t3); // t4 = 4 * t1 + t3 + const f t5 = f::add_limbs(f::shl(t0, 2), t2); // t5 = 4 * t0 + t2 + const f t6 = f::add_limbs(t3, t5); // t6 = t3 + t5 + const f t7 = f::add_limbs(t2, t4); // t7 = t2 + t4 + tile[0] = t6; + tile[1] = t5; + tile[2] = t7; + tile[3] = t4; +} + +} // namespace poseidon2::goldilocks \ No newline at end of file diff --git a/crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl_constants.cuh.template b/crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl_constants.cuh.template new file mode 100644 index 0000000..98d6e70 --- /dev/null +++ b/crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl_constants.cuh.template @@ -0,0 +1,25 @@ +// clang-format off +#pragma once + +namespace poseidon2::goldilocks { + +constexpr unsigned RATE = %RATE%; +constexpr unsigned CAPACITY = %CAPACITY%; +constexpr unsigned STATE_WIDTH = RATE + CAPACITY; +constexpr unsigned HALF_NUM_FULL_ROUNDS = %HALF_NUM_FULL_ROUNDS%; +constexpr unsigned NUM_FULL_ROUNDS_TOTAL = 2 * HALF_NUM_FULL_ROUNDS; +constexpr unsigned NUM_PARTIAL_ROUNDS = %NUM_PARTIAL_ROUNDS%; +constexpr unsigned TOTAL_NUM_ROUNDS = NUM_FULL_ROUNDS_TOTAL + NUM_PARTIAL_ROUNDS; + +__constant__ constexpr ::goldilocks::base_field ALL_ROUND_CONSTANTS[TOTAL_NUM_ROUNDS][STATE_WIDTH] = {%ALL_ROUND_CONSTANTS%}; + +// Helps define diagonal elements of M_I for poseidon2: M_I[i, i] = 2^LOG_MU_MINUS_ONE[i] + 1 +__device__ static constexpr unsigned LOG_MU_MINUS_ONE[STATE_WIDTH] = {4, 14, 11, 8, 0, 5, 2, 9, 13, 6, 3, 12}; + +// Poseidon2 math often breaks down into actions on tiles of 4 adjacent state elements. +constexpr unsigned TILE = 4; +constexpr unsigned TILES_PER_STATE = STATE_WIDTH / TILE; + +} // namespace poseidon2::goldilocks + +// clang-format on diff --git a/crates/boojum-cuda/native/gates_poseidon.cuh b/crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl_gates.cuh similarity index 59% rename from crates/boojum-cuda/native/gates_poseidon.cuh rename to crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl_gates.cuh index 837161a..df9d699 100644 --- a/crates/boojum-cuda/native/gates_poseidon.cuh +++ b/crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl_gates.cuh @@ -1,17 +1,15 @@ #pragma once -#include "gates.cuh" -#include "poseidon_single_thread.cuh" -// do not swap the order -#include "poseidon2_single_thread.cuh" +#include "../../gates.cuh" +#include "poseidon2_gl_st.cuh" namespace gates { template DEVICE_FORCEINLINE void reset(const base_field *variables, const base_field *witnesses, const extension_field *challenge_bases, extension_field *challenge_powers, extension_field *quotient_sums, const unsigned challenges_count, const unsigned inputs_stride, - goldilocks::field<3> &value, unsigned &witnesses_index, unsigned &variables_index) { - const base_field src = goldilocks::field<3>::field3_to_field2(value); + field<3> &value, unsigned &witnesses_index, unsigned &variables_index) { + const base_field src = field<3>::field3_to_field2(value); const base_field dst = WITNESSES_COUNT != 0 && witnesses_index < WITNESSES_COUNT ? load(witnesses, witnesses_index++, inputs_stride) : load(variables, variables_index++, inputs_stride); value = base_field::into<3>(dst); @@ -19,49 +17,7 @@ DEVICE_FORCEINLINE void reset(const base_field *variables, const base_field *wit GATE_PUSH(contribution) } -using namespace poseidon_common; - -template -DEVICE_FORCEINLINE void poseidon_repetition(const base_field *variables, const base_field *witnesses, const extension_field *challenge_bases, - extension_field *challenge_powers, extension_field *quotient_sums, const unsigned challenges_count, - const unsigned inputs_stride) { - poseidon_state state{}; -#pragma unroll - for (unsigned i = 0; i < STATE_WIDTH; i++) - state[i] = base_field::into<3>(load(variables, i, inputs_stride)); - unsigned witnesses_index = 0; - unsigned variables_index = STATE_WIDTH * 2; -#pragma unroll 1 - for (unsigned round = 0; round < TOTAL_NUM_ROUNDS; round++) { - if (round < HALF_NUM_FULL_ROUNDS || round >= HALF_NUM_FULL_ROUNDS + NUM_PARTIAL_ROUNDS) { - if (round != 0) -#pragma unroll - for (auto &value : state) - reset(variables, witnesses, challenge_bases, challenge_powers, quotient_sums, challenges_count, inputs_stride, value, - witnesses_index, variables_index); - if (round != HALF_NUM_FULL_ROUNDS + NUM_PARTIAL_ROUNDS) - poseidon::apply_round_constants(state, round); - poseidon::apply_non_linearity(state); - if (round == HALF_NUM_FULL_ROUNDS - 1) { - poseidon::apply_fused_round_constants(state); - poseidon::full_and_partial_round_fused_mul(state); - } else { - poseidon::apply_mds_matrix(state); - } - } else { - reset(variables, witnesses, challenge_bases, challenge_powers, quotient_sums, challenges_count, inputs_stride, state[0], witnesses_index, - variables_index); - poseidon::partial_round_optimized(state, round); - } - } -#pragma unroll - for (unsigned i = 0; i < STATE_WIDTH; i++) { - const base_field dst = goldilocks::field<3>::field3_to_field2(state[i]); - const base_field src = load(variables, i + STATE_WIDTH, inputs_stride); - const base_field contribution = base_field::sub(src, dst); - GATE_PUSH(contribution) - } -} +using namespace poseidon2::goldilocks; template DEVICE_FORCEINLINE void poseidon2_repetition(const base_field *variables, const base_field *witnesses, const extension_field *challenge_bases, @@ -73,30 +29,29 @@ DEVICE_FORCEINLINE void poseidon2_repetition(const base_field *variables, const state[i] = base_field::into<3>(load(variables, i, inputs_stride)); unsigned witnesses_index = 0; unsigned variables_index = STATE_WIDTH * 2; - poseidon2::apply_M_eps_matrix(state); + apply_M_eps_matrix(state); #pragma unroll 1 for (unsigned round = 0; round < TOTAL_NUM_ROUNDS; round++) { - const bool is_full_round = round < HALF_NUM_FULL_ROUNDS || round >= HALF_NUM_FULL_ROUNDS + NUM_PARTIAL_ROUNDS; - if (is_full_round) { + if (round < HALF_NUM_FULL_ROUNDS || round >= HALF_NUM_FULL_ROUNDS + NUM_PARTIAL_ROUNDS) { if (round != 0) #pragma unroll for (auto &value : state) reset(variables, witnesses, challenge_bases, challenge_powers, quotient_sums, challenges_count, inputs_stride, value, witnesses_index, variables_index); - poseidon2::apply_round_constants(state, round); - poseidon2::apply_non_linearity(state); - poseidon2::apply_M_eps_matrix(state); + apply_round_constants(state, round); + apply_non_linearity(state); + apply_M_eps_matrix(state); } else { - poseidon2::apply_round_constants(state, round); + apply_round_constants(state, round); reset(variables, witnesses, challenge_bases, challenge_powers, quotient_sums, challenges_count, inputs_stride, state[0], witnesses_index, variables_index); - poseidon2::apply_non_linearity(state); - poseidon2::apply_M_I_matrix(state); + apply_non_linearity(state); + apply_M_I_matrix(state); } } #pragma unroll for (unsigned i = 0; i < STATE_WIDTH; i++) { - const base_field dst = goldilocks::field<3>::field3_to_field2(state[i]); + const base_field dst = field<3>::field3_to_field2(state[i]); const base_field src = load(variables, i + STATE_WIDTH, inputs_stride); const base_field contribution = base_field::sub(src, dst); GATE_PUSH(contribution) @@ -109,10 +64,10 @@ DEVICE_FORCEINLINE void poseidon2_external_matrix(const base_field *variables, c #pragma unroll for (unsigned i = 0; i < STATE_WIDTH; i++) state[i] = base_field::into<3>(load(variables, i, inputs_stride)); - poseidon2::apply_M_eps_matrix(state); + apply_M_eps_matrix(state); #pragma unroll for (unsigned i = 0; i < STATE_WIDTH; i++) { - const base_field term = goldilocks::field<3>::field3_to_field2(state[i]); + const base_field term = field<3>::field3_to_field2(state[i]); const base_field result = load(variables, i + STATE_WIDTH, inputs_stride); const base_field contribution = base_field::sub(term, result); GATE_PUSH(contribution) @@ -125,23 +80,16 @@ DEVICE_FORCEINLINE void poseidon2_internal_matrix(const base_field *variables, c #pragma unroll for (unsigned i = 0; i < STATE_WIDTH; i++) state[i] = base_field::into<3>(load(variables, i, inputs_stride)); - poseidon2::apply_M_I_matrix(state); + apply_M_I_matrix(state); #pragma unroll for (unsigned i = 0; i < STATE_WIDTH; i++) { - const base_field term = goldilocks::field<3>::field3_to_field2(state[i]); + const base_field term = field<3>::field3_to_field2(state[i]); const base_field result = load(variables, i + STATE_WIDTH, inputs_stride); const base_field contribution = base_field::sub(term, result); GATE_PUSH(contribution) } } -#define GATE_POSEIDON(variables_offset, witnesses_offset) \ - { \ - poseidon_repetition(variables, witnesses, challenge_bases, challenge_powers, quotient_sums, challenges_count, inputs_stride); \ - variables += (variables_offset) * inputs_stride; \ - witnesses += (witnesses_offset) * inputs_stride; \ - } - #define GATE_POSEIDON2(variables_offset, witnesses_offset) \ { \ poseidon2_repetition(variables, witnesses, challenge_bases, challenge_powers, quotient_sums, challenges_count, inputs_stride); \ diff --git a/crates/boojum-cuda/native/poseidon2_cooperative.cu b/crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl_mt.cu similarity index 82% rename from crates/boojum-cuda/native/poseidon2_cooperative.cu rename to crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl_mt.cu index f2139cb..db6fa07 100644 --- a/crates/boojum-cuda/native/poseidon2_cooperative.cu +++ b/crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl_mt.cu @@ -1,11 +1,10 @@ -#include "goldilocks.cuh" -#include "memory.cuh" -#include "poseidon_constants.cuh" -#include "poseidon_utils.cuh" +#include "../../memory.cuh" +#include "poseidon2_gl.cuh" -namespace poseidon2 { +namespace poseidon2::goldilocks { -using namespace goldilocks; +using namespace ::goldilocks; +using namespace memory; typedef limb block_states[STATE_WIDTH][3][32]; @@ -93,8 +92,7 @@ static DEVICE_FORCEINLINE void permutation(field<3> *state, const unsigned wid, apply_M_eps_matrix(state, wid, shared_states); #pragma unroll for (unsigned round = 0; round < TOTAL_NUM_ROUNDS; round++) { - const bool is_full_round = round < HALF_NUM_FULL_ROUNDS || round >= HALF_NUM_FULL_ROUNDS + NUM_PARTIAL_ROUNDS; - if (is_full_round) { + if (round < HALF_NUM_FULL_ROUNDS || round >= HALF_NUM_FULL_ROUNDS + NUM_PARTIAL_ROUNDS) { apply_round_constants(state, round, wid); apply_non_linearity(state, wid); apply_M_eps_matrix(state, wid, shared_states); @@ -106,21 +104,21 @@ static DEVICE_FORCEINLINE void permutation(field<3> *state, const unsigned wid, } } -EXTERN __global__ void poseidon2_cooperative_leaves_kernel(const base_field *values, base_field *results, const unsigned rows_count, const unsigned cols_count, - const unsigned count, bool load_intermediate, bool store_intermediate) { +EXTERN __global__ void poseidon2_gl_mt_leaves_kernel(const base_field *values, base_field *results, const unsigned rows_count, const unsigned cols_count, + const unsigned count, const bool load_intermediate, const bool store_intermediate) { static_assert(RATE == 8); static_assert(CAPACITY == 4); __shared__ block_states shared_states; const unsigned gid = threadIdx.x + blockIdx.x * blockDim.x; if (gid >= count) return; - unsigned wid = threadIdx.y; + const unsigned wid = threadIdx.y; field<3> state[TILE] = {0}; if (load_intermediate && wid == 2) { auto intermediate_results = results + gid; #pragma unroll for (unsigned i = 0; i < TILE; i++, intermediate_results += count) - state[i] = base_field::into<3>(memory::load_cs(intermediate_results)); + state[i] = base_field::into<3>(load_cs(intermediate_results)); } values += gid * rows_count; for (unsigned offset = 0; offset < rows_count * cols_count;) { @@ -130,7 +128,7 @@ EXTERN __global__ void poseidon2_cooperative_leaves_kernel(const base_field *val for (unsigned i = 0; i < TILE; i++, offset++) { const unsigned row = offset % rows_count; const unsigned col = offset / rows_count; - state[i] = col < cols_count ? base_field::into<3>(memory::load_cs(values + row + col * rows_count * count)) : field<3>{}; + state[i] = col < cols_count ? base_field::into<3>(load_cs(values + row + col * rows_count * count)) : field<3>{}; } offset += TILE * (1 - wid); } else @@ -144,7 +142,7 @@ EXTERN __global__ void poseidon2_cooperative_leaves_kernel(const base_field *val // if (wid < 2) { // #pragma unroll // for (unsigned i = 0; i < TILE; i++, values += count) - // state[i] = base_field::into<3>(memory::load_cs(values)); + // state[i] = base_field::into<3>(load_cs(values)); // values += TILE * count; // } // permutation(state, wid, shared_states); @@ -154,31 +152,31 @@ EXTERN __global__ void poseidon2_cooperative_leaves_kernel(const base_field *val if (wid == (store_intermediate ? 2 : 0)) { #pragma unroll for (unsigned i = 0; i < TILE; i++, results += count) - memory::store_cs(results, base_field::field3_to_field2(state[i])); + store_cs(results, base_field::field3_to_field2(state[i])); } } static DEVICE_FORCEINLINE void load_nodes_to_shared(const field<4> *values, block_states &shared_states, const unsigned wid) { field<3> state_transposed[TILES_PER_STATE] = {0}; - const auto value = memory::load_cs(values); - auto v2 = reinterpret_cast(&value); + const auto value = load_cs(values); + const auto v2 = reinterpret_cast(&value); #pragma unroll for (unsigned i = 0; i < 2; i++) state_transposed[i] = base_field::into<3>(v2[i]); - // un-transpose input + // un-transpose input #pragma unroll for (unsigned i = 0; i < TILES_PER_STATE; i++) store_shared(state_transposed[i], shared_states, wid + TILE * i); } -EXTERN __global__ void poseidon2_cooperative_nodes_kernel(const field<4> *values, base_field *results, const unsigned count) { +EXTERN __global__ void poseidon2_gl_mt_nodes_kernel(const field<4> *values, base_field *results, const unsigned count) { static_assert(RATE == 8); static_assert(CAPACITY == 4); __shared__ block_states shared_states; const unsigned gid = threadIdx.x + blockIdx.x * blockDim.x; if (gid >= count) return; - unsigned wid = threadIdx.y; + const unsigned wid = threadIdx.y; load_nodes_to_shared(values + count * wid + gid, shared_states, wid); // 3 warps in the block, so warp 0 reads the fourth column if (wid == 0) @@ -196,8 +194,8 @@ EXTERN __global__ void poseidon2_cooperative_nodes_kernel(const field<4> *values results += gid; #pragma unroll for (unsigned i = 0; i < TILE; i++, results += count) - memory::store_cs(results, base_field::field3_to_field2(state[i])); + store_cs(results, base_field::field3_to_field2(state[i])); } } -} // namespace poseidon2 +} // namespace poseidon2::goldilocks diff --git a/crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl_queries.cu b/crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl_queries.cu new file mode 100644 index 0000000..a6dc457 --- /dev/null +++ b/crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl_queries.cu @@ -0,0 +1,20 @@ +#include "../queries.cuh" +#include "poseidon2_gl.cuh" + +namespace poseidon2::goldilocks { + +using namespace memory; + +typedef ::goldilocks::base_field gl; + +EXTERN __global__ void poseidon2_gl_gather_rows_kernel(const unsigned *indexes, const unsigned indexes_count, const matrix_getter values, + const matrix_setter results) { + gather_rows(indexes, indexes_count, values, results); +} + +EXTERN __global__ void poseidon2_gl_gather_merkle_paths_kernel(const unsigned *indexes, const unsigned indexes_count, const gl *values, + const unsigned log_leaves_count, gl *results) { + gather_merkle_paths(indexes, indexes_count, values, log_leaves_count, results); +} + +} // namespace poseidon2::goldilocks diff --git a/crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl_st.cu b/crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl_st.cu new file mode 100644 index 0000000..bf169e3 --- /dev/null +++ b/crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl_st.cu @@ -0,0 +1,84 @@ +#include "poseidon2_gl_st.cuh" + +namespace poseidon2::goldilocks { + +using namespace ::goldilocks; +using namespace memory; + +// https://eprint.iacr.org/2023/323.pdf Fig. 1 +static DEVICE_FORCEINLINE void permutation(poseidon_state &state) { + apply_M_eps_matrix(state); +#pragma unroll + for (unsigned round = 0; round < TOTAL_NUM_ROUNDS; round++) { + if (round < HALF_NUM_FULL_ROUNDS || round >= HALF_NUM_FULL_ROUNDS + NUM_PARTIAL_ROUNDS) { + apply_round_constants(state, round); + apply_non_linearity(state); + apply_M_eps_matrix(state); + } else { + apply_round_constants(state, round); + apply_non_linearity(state); + apply_M_I_matrix(state); + } + } +} + +EXTERN __global__ void poseidon2_gl_st_leaves_kernel(const base_field *values, base_field *results, const unsigned rows_count, const unsigned cols_count, + const unsigned count, const bool load_intermediate, const bool store_intermediate) { + static_assert(RATE == 8); + static_assert(CAPACITY == 4); + const unsigned gid = threadIdx.x + blockIdx.x * blockDim.x; + if (gid >= count) + return; + poseidon_state state{}; + if (load_intermediate) { + auto intermediate_results = results + gid; +#pragma unroll + for (unsigned i = STATE_WIDTH - CAPACITY; i < STATE_WIDTH; i++, intermediate_results += count) + state[i] = base_field::into<3>(load_cs(intermediate_results)); + } + values += gid * rows_count; + for (unsigned offset = 0; offset < rows_count * cols_count;) { +#pragma unroll + for (unsigned i = 0; i < RATE; i++, offset++) { + const unsigned row = offset % rows_count; + const unsigned col = offset / rows_count; + state[i] = col < cols_count ? base_field::into<3>(load_cs(values + row + col * rows_count * count)) : field<3>{}; + } + permutation(state); + } + results += gid; + if (store_intermediate) { +#pragma unroll + for (unsigned i = STATE_WIDTH - CAPACITY; i < STATE_WIDTH; i++, results += count) + store_cs(results, base_field::field3_to_field2(state[i])); + } else { +#pragma unroll + for (unsigned i = 0; i < CAPACITY; i++, results += count) + store_cs(results, base_field::field3_to_field2(state[i])); + } +} + +EXTERN __global__ void poseidon2_gl_st_nodes_kernel(const field<4> *values, base_field *results, const unsigned count) { + static_assert(RATE == 8); + static_assert(CAPACITY == 4); + const unsigned gid = threadIdx.x + blockIdx.x * blockDim.x; + if (gid >= count) + return; + poseidon_state state{}; + values += gid; +#pragma unroll + for (unsigned i = 0; i < CAPACITY; i++, values += count) { + const auto value = load_cs(values); + const auto v2 = reinterpret_cast(&value); +#pragma unroll + for (unsigned j = 0; j < 2; j++) + state[j * CAPACITY + i] = base_field::into<3>(v2[j]); + } + permutation(state); + results += gid; +#pragma unroll + for (unsigned i = 0; i < CAPACITY; i++, results += count) + store_cs(results, base_field::field3_to_field2(state[i])); +} + +} // namespace poseidon2::goldilocks diff --git a/crates/boojum-cuda/native/poseidon2_single_thread.cuh b/crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl_st.cuh similarity index 88% rename from crates/boojum-cuda/native/poseidon2_single_thread.cuh rename to crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl_st.cuh index 1f3860e..ea68cb4 100644 --- a/crates/boojum-cuda/native/poseidon2_single_thread.cuh +++ b/crates/boojum-cuda/native/poseidon2/gl/poseidon2_gl_st.cuh @@ -1,13 +1,12 @@ #pragma once -#include "goldilocks.cuh" -#include "memory.cuh" -#include "poseidon_constants.cuh" -#include "poseidon_utils.cuh" +#include "poseidon2_gl.cuh" -namespace poseidon2 { +namespace poseidon2::goldilocks { -using namespace goldilocks; +using namespace ::goldilocks; + +typedef field<3> poseidon_state[STATE_WIDTH]; template static DEVICE_FORCEINLINE void apply_round_constants(poseidon_state &state, const unsigned round) { const auto rc = ALL_ROUND_CONSTANTS[round]; @@ -22,7 +21,7 @@ template static DEVICE_FORCEINLINE void apply_round_constan template static DEVICE_FORCEINLINE void apply_non_linearity(poseidon_state &state) { #pragma unroll for (unsigned i = 0; i < STATE_WIDTH; i++) { - if (IS_FULL_ROUND || (i == 0)) { + if (IS_FULL_ROUND || i == 0) { const base_field f1 = base_field::field3_to_field2(state[i]); const base_field f2 = base_field::sqr(f1); const base_field f3 = base_field::mul(f1, f2); @@ -38,7 +37,7 @@ static DEVICE_FORCEINLINE void apply_M_eps_matrix(poseidon_state &state) { for (unsigned i = 0; i < STATE_WIDTH; i += TILE) { m4_times_tile(&state[i]); } - field<3> acc_tile[TILE] = {0}; + field<3> acc_tile[TILE] = {}; #pragma unroll for (unsigned i = 0; i < STATE_WIDTH; i += TILE) { #pragma unroll @@ -65,4 +64,4 @@ static DEVICE_FORCEINLINE void apply_M_I_matrix(poseidon_state &state) { state[i] = field<3>::add_limbs(sum, field<3>::shl(state[i], LOG_MU_MINUS_ONE[i])); } -} // namespace poseidon2 +} // namespace poseidon2::goldilocks diff --git a/crates/boojum-cuda/native/poseidon_common.cu b/crates/boojum-cuda/native/poseidon2/queries.cuh similarity index 62% rename from crates/boojum-cuda/native/poseidon_common.cu rename to crates/boojum-cuda/native/poseidon2/queries.cuh index 9bec51d..b9a712a 100644 --- a/crates/boojum-cuda/native/poseidon_common.cu +++ b/crates/boojum-cuda/native/poseidon2/queries.cuh @@ -1,14 +1,14 @@ -#include "goldilocks.cuh" -#include "poseidon_constants.cuh" +#pragma once +#include "../common.cuh" +#include "../memory.cuh" -namespace poseidon { +namespace poseidon2 { -using namespace goldilocks; using namespace memory; -using namespace poseidon_common; -EXTERN __global__ void gather_rows_kernel(const unsigned *indexes, const unsigned indexes_count, const matrix_getter values, - matrix_setter results) { +template +static DEVICE_FORCEINLINE void gather_rows(const unsigned *indexes, const unsigned indexes_count, const matrix_getter values, + const matrix_setter results) { const unsigned idx = threadIdx.y + blockIdx.x * blockDim.y; if (idx >= indexes_count) return; @@ -19,8 +19,9 @@ EXTERN __global__ void gather_rows_kernel(const unsigned *indexes, const unsigne results.set(dst_row, col, values.get(src_row, col)); } -EXTERN __global__ void gather_merkle_paths_kernel(const unsigned *indexes, const unsigned indexes_count, const base_field *values, - const unsigned log_leaves_count, base_field *results) { +template +static DEVICE_FORCEINLINE void gather_merkle_paths(const unsigned *indexes, const unsigned indexes_count, const T *values, const unsigned log_leaves_count, + T *results) { const unsigned idx = threadIdx.x + blockIdx.x * blockDim.x; if (idx >= indexes_count) return; @@ -35,4 +36,4 @@ EXTERN __global__ void gather_merkle_paths_kernel(const unsigned *indexes, const results[dst_index] = values[src_index]; } -} // namespace poseidon \ No newline at end of file +} // namespace poseidon2 \ No newline at end of file diff --git a/crates/boojum-cuda/native/poseidon2_single_thread.cu b/crates/boojum-cuda/native/poseidon2_single_thread.cu deleted file mode 100644 index 5598f86..0000000 --- a/crates/boojum-cuda/native/poseidon2_single_thread.cu +++ /dev/null @@ -1,38 +0,0 @@ -#include "poseidon2_single_thread.cuh" - -namespace poseidon2 { - -using namespace goldilocks; - -// https://eprint.iacr.org/2023/323.pdf Fig. 1 -static DEVICE_FORCEINLINE void permutation(poseidon_state &state) { - apply_M_eps_matrix(state); -#pragma unroll - for (unsigned round = 0; round < TOTAL_NUM_ROUNDS; round++) { - const bool is_full_round = round < HALF_NUM_FULL_ROUNDS || round >= HALF_NUM_FULL_ROUNDS + NUM_PARTIAL_ROUNDS; - if (is_full_round) { - apply_round_constants(state, round); - apply_non_linearity(state); - apply_M_eps_matrix(state); - } else { - apply_round_constants(state, round); - apply_non_linearity(state); - apply_M_I_matrix(state); - } - } -} - -EXTERN __global__ void poseidon2_single_thread_leaves_kernel(const base_field *values, base_field *results, const unsigned rows_count, - const unsigned cols_count, const unsigned count, bool load_intermediate, bool store_intermediate) { - static_assert(RATE == 8); - static_assert(CAPACITY == 4); - single_thread_leaves_impl(values, results, rows_count, cols_count, count, load_intermediate, store_intermediate); -} - -EXTERN __global__ void poseidon2_single_thread_nodes_kernel(const field<4> *values, base_field *results, const unsigned count) { - static_assert(RATE == 8); - static_assert(CAPACITY == 4); - single_thread_nodes_impl(values, results, count); -} - -} // namespace poseidon2 diff --git a/crates/boojum-cuda/native/poseidon_constants.cuh b/crates/boojum-cuda/native/poseidon_constants.cuh deleted file mode 100644 index 75f9f2d..0000000 --- a/crates/boojum-cuda/native/poseidon_constants.cuh +++ /dev/null @@ -1,167 +0,0 @@ -// clang-format off -#pragma once - -#include "goldilocks.cuh" - -namespace poseidon_common { - -using namespace goldilocks; - -constexpr unsigned RATE = 8; -constexpr unsigned CAPACITY = 4; -constexpr unsigned STATE_WIDTH = RATE + CAPACITY; -constexpr unsigned HALF_NUM_FULL_ROUNDS = 4; -constexpr unsigned NUM_FULL_ROUNDS_TOTAL = 2 * HALF_NUM_FULL_ROUNDS; -constexpr unsigned NUM_PARTIAL_ROUNDS = 22; -constexpr unsigned TOTAL_NUM_ROUNDS = NUM_FULL_ROUNDS_TOTAL + NUM_PARTIAL_ROUNDS; - -__constant__ constexpr base_field ALL_ROUND_CONSTANTS[TOTAL_NUM_ROUNDS][STATE_WIDTH] = { - {{0x417ee042,0xb585f767},{0x77c10331,0x7746a55f},{0x1d356f7a,0xb2fb0d32},{0x86f1621f,0x0f6760a4},{0xb36abcdf,0xe10d6666},{0x455cc50b,0x8cae14cb},{0xf2cee334,0xd438539c},{0x4c1fd8b4,0xef781c7d},{0x0aca4b1f,0xcdc4a23a},{0xd07b52e3,0x277fa208},{0x00493d38,0xe17653a3},{0x7c287dc1,0xc54302f2},}, - {{0x31d47d10,0x86287822},{0x690b49f2,0x59cd1a8a},{0x9efec0b0,0xc3b919ad},{0x37641d97,0xa484c4c6},{0xf191398b,0x308bbd23},{0xbf713cf1,0x6e4a40c1},{0x510414fb,0x9a2eedb7},{0x11c2c63b,0xe360c6e1},{0x1d4d89aa,0xd5c77190},{0x6e7d6b2f,0xc35eae07},{0xd0a09cad,0x849c2656},{0x5cf1df2b,0xc0572c8c},}, - {{0x883b8bf3,0xe9fa634a},{0x00fb1fdd,0xf56f6d49},{0x72a72a1b,0xf7d713e8},{0x6ba47612,0x8297132b},{0x2ee8af1c,0xad6805e1},{0x485c22b9,0xac51d9f6},{0x3bd56bf8,0x502ad7dc},{0x3761c577,0x57a1550c},{0x99d311da,0x66bbd30e},{0x5e948f87,0x0da2abef},{0x443f8e94,0xf0612750},{0xfb937d8c,0x28b8ec3a},}, - {{0xbe54ca18,0x92a756e6},{0x304e925d,0x70e741ec},{0xb037c59f,0x019d5ee2},{0xa30707d1,0x6f6f2ed7},{0x1e8c169c,0x7cf416d0},{0xb17617df,0x61df517b},{0x4c67dbaa,0x85dc499b},{0xdad27b23,0x4b959b48},{0x0dd779a0,0xe8be3e5e},{0x525ed8e6,0xf5c0bc1e},{0x263cf853,0x40b12cbf},{0x13e2ea3c,0xa637093f},}, - {{0x32e3b0c8,0x3cc3f892},{0x6bfe86c0,0x2e479dc1},{0xd6d39469,0x6f49de07},{0xecc232de,0x213ce7be},{0x851fc00a,0x5b043134},{0x4a861506,0xa2de4578},{0x7bed8dd5,0x7103aaf9},{0xbb88a147,0x5326fc0d},{0x364cb77a,0xa9ceb750},{0xcc9e991f,0x27f8ec88},{0x8c93fb83,0xfceb4fda},{0xb45b260e,0xfac6ff13},}, - {{0x5813380b,0x7131aa45},{0xd5d68119,0x93510360},{0xfb96e3db,0xad535b24},{0xb7efc045,0x4627f5c6},{0xe4da78a9,0x645cf794},{0x1ac2877f,0x241c70ed},{0xb009e825,0xacb8e076},{0x6477bd9d,0x3737e9db},{0x4cd688ed,0xe7ea5e34},{0x09214640,0x90dee4a0},{0xc77e74af,0xd1b1edf7},{0xab42158e,0x0b65481b},}, - {{0x4b4fe3e7,0x99ad1aab},{0xf1a360cd,0x438a7c91},{0x159088bf,0xb60de3bd},{0x47a3e3bb,0xc99cab6b},{0xd5677cef,0x69a5ed92},{0x482a9396,0x5e7b329c},{0x29f893c9,0x5fc0ac08},{0x4fb757ea,0x32db8292},{0x5cf24145,0x0ade699c},{0x46d7b5bb,0x7cc5583b},{0x1bf8abcb,0x85df9ed3},{0x1ad4de64,0x6604df50},}, - {{0x41611aec,0xeb84f609},{0x23989bd4,0xda608835},{0xbf3470bf,0x8f97fe40},{0xe0ff2b32,0xa93f485c},{0xbc2afb4b,0x6704e8ee},{0x788ad755,0xcee3e9ac},{0x062a270d,0x510d0e66},{0xd74634a0,0xf6323f48},{0x04990c90,0x0b508cdf},{0x4ef7ddf9,0xf241708a},{0xbb368f82,0x60e75c28},{0x3f0f9989,0xa6217d8c},}, - {{0xf5435b53,0x7159cd30},{0xe97ec79f,0x839b4e8f},{0x885db625,0x0d3f3e5e},{0x1daea54b,0x8f7d83be},{0x1e8dbc04,0x780f2244},{0x5aedacd3,0xeb915846},{0x826c1b6c,0xd19e120d},{0x7f007110,0x016ee53a},{0xd22dd1ca,0xcb5fd54e},{0xc58de144,0xacb84178},{0x2c463227,0x9c22190c},{0xcc98406d,0x5d693c1b},}, - {{0x235f321a,0xdcef0798},{0xf55e0b1e,0x3d639263},{0x7edb8fda,0xe273fd97},{0x49d10fe7,0x418f0270},{0xf253a284,0x8c25fda3},{0xc25a884e,0x2cbaed4d},{0xf78dc2af,0x5f58e6af},{0x6fb9d206,0x284650ac},{0x1391c13c,0x635b337f},{0x1ac6361f,0x9f9a036f},{0xff6747b4,0xb93e260c},{0xc7272e33,0xb0a7eae8},}, - {{0xe7da0a9f,0xd0762cbc},{0x29c754d6,0x34c6efb8},{0x166855c1,0x40bf0ab6},{0xcc46a242,0xb6b570fc},{0x55549545,0x5a27b900},{0x048b306f,0xb1a5b166},{0x24f1006d,0x8722e0ad},{0xb315049a,0x788ee3b3},{0x1e5b0351,0x14a72666},{0xe1c3f13e,0x98b7672f},{0xbdc3aa8f,0xbb93ae77},{0x756fc222,0x28fd3b04},}, - {{0xa86d7109,0x30a46805},{0x7844a0e7,0x337dc00c},{0x253c861b,0xd5eca245},{0x990d8546,0x77626382},{0x33c3ae7a,0xc1e434bf},{0x54dbf35e,0x0299351a},{0xfb620184,0xb2d456e4},{0xc00265ea,0x3e9ed1fd},{0xb672e8db,0x2972a92b},{0x89f333ec,0x20216dd7},{0x746494a1,0xadffe8cf},{0x5889d420,0x1c4dbb1c},}, - {{0x8c9972f5,0x15a16a8a},{0x98960e26,0x388a128b},{0xca3e5589,0x2300e5d6},{0x5c9ceb9f,0x2f63aa86},{0xd894420f,0xf1c36ce8},{0x2953f84a,0x27181125},{0xd5466a8e,0xe5840293},{0x24e5f20e,0x4d9bbc3e},{0xcfa2794b,0xea35bc29},{0xf59e2d28,0x18e21b4b},{0x32ef6adb,0x1e3b9fc6},{0x7a05e678,0x25d64362},}, - {{0xecb63263,0x5a3f1bb1},{0xca031e31,0xdb7f0238},{0x60bfc4c4,0xb4620659},{0x63c280f4,0x49c24ae4},{0x6f7b901a,0xd793862c},{0xbdce475e,0xaadd1106},{0xed8ad58f,0xc43b6e0e},{0xf2060cb7,0xe29024c1},{0x5efbe17a,0x5e50c275},{0xac183625,0x10383f20},{0x8a8a435d,0x38e8ee9d},{0xbcc52452,0xdd511837},}, - {{0x61a7da6a,0x77500598},{0x18d1dbef,0x86ab99b5},{0x8ccfe33b,0xb1204f60},{0xd8dfca49,0xef61ac84},{0x1f4eff36,0x1bbcd90f},{0x9be9850a,0x0cd1dabd},{0xf354bb11,0x11a3ae5b},{0x11bb5516,0xf755bfef},{0x6e2f3adb,0xa3b83250},{0xb617e6ba,0x516306f4},{0x2aeead3a,0xddb4ac4a},{0x62af4430,0x64bb6dec},}, - {{0x9895a152,0xf9cc95c2},{0x632771b9,0x08d37f75},{0x9cee6b56,0xeec49b61},{0x56b3711a,0xf143933b},{0xb9f6570c,0xe4c5dd82},{0x56eefdc4,0xe7ad7757},{0xc834ef78,0x92c2318b},{0x3007aa0a,0x739c25f9},{0x1725f788,0x5636caca},{0xf47cd0b6,0xdd8f909a},{0x6bc24d4e,0xc6401fe1},{0x2e6b3a3c,0x8ad97b34},}, - {{0xb7be8ce2,0x0c49366b},{0xf4b39fb5,0x0784d3d2},{0xc5d77a58,0x530fb67e},{0xb8221f3b,0x41049229},{0x7cb606a3,0x13954234},{0xe62e6438,0x9cb0bd5e},{0xc4d3054a,0x02e3f615},{0xdefb64a0,0x985d4f4a},{0x32053cde,0x775b9feb},{0x4d6c1ba6,0x304265a6},{0xbe7acd42,0x593664c3},{0xd2bd6718,0x4f0a2e5f},}, - {{0x619bf1da,0xdd611f10},{0x3e74f9a4,0xd8185f9b},{0x126ec3b3,0xef87139d},{0xdd67f99b,0x3ba71336},{0x8d808091,0x7d3a455d},{0x5cbdecc7,0x660d32e1},{0x5af2b9ff,0x297a863f},{0xe6b434df,0x90e0a736},{0x7a12182e,0x549f80ce},{0x35fb5b84,0x0f73b292},{0x056e3a01,0x16bf1f74},{0x3019a39f,0x6d1f5a59},}, - {{0xa73f6305,0x02ff876f},{0xfb9a5bd7,0xc5cb72a2},{0x674dfaa3,0x8470f39d},{0xe41aea30,0x25abb3f1},{0xc32951c7,0x23eb8cc9},{0x242ac4ea,0xd687ba56},{0x5d2de6b7,0xda8d9e91},{0x938d8f1e,0xe3cbdc7d},{0x001efad6,0xb9a8c9b4},{0x64f2285c,0xc0d28a5c},{0x878575b8,0x45d7ac9b},{0xd8da283e,0xeeb76e39},}, - {{0x2fc7daac,0x3d06c8bd},{0xc13589f5,0x9c9c9820},{0xdb40bae3,0x65700b51},{0x79044242,0x911f4515},{0xf1fee8cc,0x7ae6849f},{0xba896ae5,0x3bb340eb},{0xb71f0b4b,0xb46e9d8b},{0xe1bde2a3,0x8dcf22f9},{0x8cc55427,0x77bdaeda},{0xbaba0e12,0xf19e400a},{0x39eb5c7f,0xc368a349},{0x2c03bc5e,0x9ef1cd61},}, - {{0x3b94bbd8,0xe89cd855},{0xb4550713,0x5cd377dc},{0xcd4c5665,0xa7b0fb78},{0xf76c7128,0x7684403e},{0x79c4f483,0x5fa3f06f},{0x59dbade6,0x8df57ac1},{0x321b2625,0x2db01efa},{0xcfd58cb6,0x54846de4},{0xaa20f5cd,0xba674538},{0x699f9777,0x541d4963},{0xdadaa548,0xe9096784},{0x58bf85ff,0xdfe89924},}, - {{0x74a35593,0xece5a71e},{0xff1d14fd,0x5ff98fd5},{0x524c06e1,0x83e89419},{0x6ef03286,0x5922040b},{0xab002858,0xf97d750e},{0xdba7b3ec,0x5080d4c2},{0xa038b508,0xa7de115b},{0xb5f37ec0,0x6a9242ac},{0x65619ed0,0xf7856ef8},{0x0dbd7a89,0x2265fc93},{0x022c723b,0x17dfc8e5},{0x48f2d676,0x9001a642},}, - {{0xb0b8b50e,0x90004c13},{0xc63485b0,0xb932b7cf},{0xfd4c2bc5,0xa0b1df81},{0xb594c383,0x8ef1dd26},{0xd20ba562,0x0541a4f9},{0xbe0a3c5b,0x9e611061},{0xe1e1624a,0xb3767e80},{0x20a88c6b,0x0098d578},{0x71e01691,0x31d191cd},{0xbf90a57a,0x410fefaf},{0x3633aea8,0xbdf8f243},{0x9cc11c28,0x9e8cd55b},}, - {{0x4acb869f,0xde122bec},{0xb0b03314,0x4d001fd5},{0x67416209,0xca663700},{0x399888c6,0x2f2339d6},{0xf7c98a13,0x6d1a7918},{0x95f688f3,0xdf9a4939},{0x4ded22ca,0xebc2151f},{0xa2bab82f,0x03cc2ba8},{0x44ad9a9b,0xd341d038},{0x73ab3f58,0x387cb5d2},{0x74a7a221,0xbba2515f},{0x37f37d9c,0x7248fe77},}, - {{0x7437f6b9,0x4d61e56a},{0x9e54bef8,0x262e963c},{0x7477d296,0x59e89b09},{0xb9e47452,0x055d5b52},{0x6e430708,0x82b27eb3},{0xf3080f94,0xd30094ca},{0x27c2a3be,0xcf5cb382},{0x01262c7c,0xfeed4db7},{0x91dd0154,0x41703f53},{0x2666f57b,0x5eeea941},{0x96abdbc4,0x4cd1f1b1},{0x94b3662b,0x4a203585},}, - {{0xe4b47c26,0x1478d361},{0x01d2c79f,0x6f02dc08},{0xeb03c4b6,0x296a202e},{0xaec20c38,0x2afd6799},{0x3050383d,0x7acfd96f},{0x380dfdd3,0x6798ba0c},{0x3de02c88,0x34c6f57b},{0xf82eb8a0,0x5736e1ba},{0x0e58b8de,0x20057d2a},{0xeb6e1404,0x3dea5bd5},{0x874a6a98,0x16e50d89},{0xcbfba19a,0x29bff3ec},}, - {{0x7974793c,0x475cd320},{0xcde34cfa,0x18a42105},{0xb0618331,0x023e7414},{0x1b52594b,0x15147108},{0x3bdeb0f3,0xe4a3dff2},{0x88c232ef,0x01a8d1a5},{0xe221d621,0x11b4c74e},{0xce129c8c,0xe587cc0d},{0x25a65080,0x1ff73270},{0x4b8602b1,0x594e29c4},{0xf5a56fd3,0xf6f31db1},{0xc7258a5e,0xc02ac5e4},}, - {{0xc5dc598f,0xe70201e9},{0x9b3560b2,0x6f90ff3b},{0x62faf016,0x42747a72},{0x96927d26,0xd1f507e4},{0xfdd24cd9,0x1c86d265},{0xf6b5266e,0x3996ce73},{0xd68a061e,0x8e7fba02},{0x548b7546,0xba0dec71},{0x5b8d8f40,0x9e9cbd78},{0xf6b3828c,0xdae86459},{0x1314f71d,0xdebe0854},{0x9501358f,0xa49229d2},}, - {{0x10c4df7c,0x7be5ba00},{0x09ecc39c,0xa3c95eaf},{0xf5d457cd,0x0230bca8},{0xdc68cdf9,0x4135c2be},{0x4d5b20cc,0x166fc0cc},{0xa3236e6e,0x3762b59a},{0xeed163d2,0xe8928a4c},{0xb71223d9,0x2a440b51},{0xb5f48e46,0x80cefd2b},{0x38328b71,0xbb9879c7},{0xb47cced0,0x6e7c8f1a},{0x257ffc0a,0x164bb2de},}, - {{0xb800ea30,0xf3c12fe5},{0x09e8c7e1,0x40b9e923},{0xe3b8d017,0x551f5b0f},{0xd4fc7aba,0x25032aa7},{0x95de0a0a,0xaaed3407},{0x38c8ba0f,0x8ffd96bc},{0x8aa58833,0x70fc91eb},{0x97566d73,0x7f795e2a},{0x72c4831d,0x4543d9df},{0x69f20739,0xf172d73e},{0x1eb3d868,0xdfd1c4ff},{0xd26376f7,0xbc8dfb62},}, -}; - -} // namespace poseidon_common - -namespace poseidon { - -using namespace poseidon_common; - -//__constant__ constexpr unsigned MDS_MATRIX_EXPS[STATE_WIDTH] = {%MDS_MATRIX_EXPS%}; -// -//__constant__ constexpr unsigned MDS_MATRIX_EXPS_ORDER[STATE_WIDTH] = {%MDS_MATRIX_EXPS_ORDER%}; -// -//__constant__ constexpr unsigned MDS_MATRIX_SHIFTS[STATE_WIDTH] = {%MDS_MATRIX_SHIFTS%}; - -__constant__ constexpr unsigned MDS_MATRIX_EXPS[STATE_WIDTH] = {0,0,1,0,3,5,1,8,12,3,16,10,}; - -__constant__ constexpr unsigned MDS_MATRIX_EXPS_ORDER[STATE_WIDTH] = {10,8,11,7,5,9,4,6,2,3,1,0,}; - -__constant__ constexpr unsigned MDS_MATRIX_SHIFTS[STATE_WIDTH] = {4,2,2,3,2,0,2,0,1,0,0,0,}; - -#ifdef POSEIDON_OPTIMIZED - -//__constant__ constexpr base_field ROUND_CONSTANTS_FUSED_LAST_FULL_AND_FIRST_PARTIAL[STATE_WIDTH] = {%ROUND_CONSTANTS_FUSED_LAST_FULL_AND_FIRST_PARTIAL%}; -// -//__constant__ constexpr base_field FUSED_DENSE_MATRIX_LAST_FULL_AND_FIRST_PARTIAL[STATE_WIDTH][STATE_WIDTH] = {%FUSED_DENSE_MATRIX_LAST_FULL_AND_FIRST_PARTIAL%}; -// -//__constant__ constexpr base_field ROUND_CONSTANTS_FOR_FUSED_S_BOXES[NUM_PARTIAL_ROUNDS] = {%ROUND_CONSTANTS_FOR_FUSED_S_BOXES%}; -// -//__constant__ constexpr base_field VS_FOR_PARTIAL_ROUNDS[NUM_PARTIAL_ROUNDS][STATE_WIDTH - 1] = {%VS_FOR_PARTIAL_ROUNDS%}; -// -//__constant__ constexpr base_field W_HATS_FOR_PARTIAL_ROUNDS[NUM_PARTIAL_ROUNDS][STATE_WIDTH - 1] = {%W_HATS_FOR_PARTIAL_ROUNDS%}; - -__constant__ constexpr base_field ROUND_CONSTANTS_FUSED_LAST_FULL_AND_FIRST_PARTIAL[STATE_WIDTH] = {{0x6b59c25c,0x84e4af5a},{0x13562787,0xb27cbd80},{0xfbd3951d,0x7ba22b97},{0xe39c1a86,0x00639bc7},{0x95278250,0x60f14526},{0xfe75b0bd,0x046d5768},{0xa956b99d,0x6b2e91dc},{0x97e7f0ad,0xbc07cccf},{0x22ec57b5,0x787b8852},{0x03e05666,0x795f1537},{0xcb0dd061,0x470dd42f},{0x301c6061,0x0250ab6a},}; - -__constant__ constexpr base_field FUSED_DENSE_MATRIX_LAST_FULL_AND_FIRST_PARTIAL[STATE_WIDTH][STATE_WIDTH] = { - {{0x00000001,0x00000000},{0x00000001,0x00000000},{0x00000002,0x00000000},{0x00000001,0x00000000},{0x00000008,0x00000000},{0x00000020,0x00000000},{0x00000002,0x00000000},{0x00000100,0x00000000},{0x00001000,0x00000000},{0x00000008,0x00000000},{0x00010000,0x00000000},{0x00000400,0x00000000},}, - {{0x09a6d3cf,0x1bd92497},{0xb3f7d59f,0x5d2f0bbd},{0x82a4c673,0x8987a17b},{0x54e981da,0xb06c64ea},{0x0dea998e,0xe5e0c738},{0xf3ff2a7d,0x6dd065fc},{0x61a3a1e3,0xaed01f17},{0x62c76aea,0x9fd0589b},{0x9aecad3e,0x98c86f26},{0xe370b012,0xd5a1b486},{0x0dbd7afb,0x39c5526e},{0x4556d5c9,0xe22970d2},}, - {{0xd9936f0a,0x7cc3fbf3},{0xdda9224c,0x6fe014a8},{0x16760de3,0x4e20757a},{0xc647c1bf,0xf797a923},{0x1c5c8df8,0x6c64d4e7},{0xf685b388,0x30abb56a},{0x440b6a06,0x8fc29e22},{0x22365fb1,0xcadcef95},{0xe3c562ef,0x80364aa2},{0xaad90648,0x91e095e8},{0xed9ee94c,0x5f6c398d},{0x0dbd7afb,0x39c5526e},}, - {{0x109257da,0xdb606d34},{0x8b1c80ba,0xe4985afc},{0x25ef5c91,0x2fcb53fb},{0x7de32430,0xd8f93107},{0x5143ab11,0xa90faad0},{0xb021bc7e,0x7e48fd16},{0xa6bfcd3b,0x2ed2c4be},{0xaee9f88d,0x95dd45e6},{0xbd406669,0xb25a0610},{0x3ca55fd2,0xe582cd6e},{0xaad90648,0x91e095e8},{0xe370b012,0xd5a1b486},}, - {{0xc2c3dec2,0x49ba17d3},{0x09f42b98,0xa031b0ec},{0x8e88b96d,0x4de77cf8},{0xbd35dab7,0x5735f467},{0xfb39973c,0xc1e1b75e},{0x931f6b9a,0x5af7fb36},{0xb66d4e2b,0xda0a7125},{0x1d3a9ac8,0x0fd17f14},{0x190051f5,0x189fe463},{0xbd406669,0xb25a0610},{0xe3c562ef,0x80364aa2},{0x9aecad3e,0x98c86f26},}, - {{0xbf3de311,0x604fa87e},{0x06d746ce,0xa862d07f},{0x0c91aa69,0x513f7209},{0xfcfd4069,0x375c131a},{0x201cb64e,0x4fe7e4c6},{0x37bd0d8f,0xc4e144af},{0xcca953f6,0x88ea5c8d},{0x776dd0ff,0x6d2f4db1},{0x1d3a9ac8,0x0fd17f14},{0xaee9f88d,0x95dd45e6},{0x22365fb1,0xcadcef95},{0x62c76aea,0x9fd0589b},}, - {{0xf3d29d2c,0x3f0afdee},{0x15275b34,0x1ae83290},{0x847ecfd6,0xa353eca9},{0x437c24a0,0x3587858d},{0xb7e99e90,0xc61cdb10},{0xeaa4c22e,0x49083456},{0x6b019b13,0xa9a893c1},{0xcca953f6,0x88ea5c8d},{0xb66d4e2b,0xda0a7125},{0xa6bfcd3b,0x2ed2c4be},{0x440b6a06,0x8fc29e22},{0x61a3a1e3,0xaed01f17},}, - {{0x449fb60a,0x5081ad5c},{0x345adbdc,0x0f4abea5},{0x42e94c3d,0x21eaf277},{0x0106ae23,0xcc395a28},{0x5a3eab25,0x3f7f9093},{0xb2821c13,0x85467283},{0xeaa4c22e,0x49083456},{0x37bd0d8f,0xc4e144af},{0x931f6b9a,0x5af7fb36},{0xb021bc7e,0x7e48fd16},{0xf685b388,0x30abb56a},{0xf3ff2a7d,0x6dd065fc},}, - {{0x597e74b4,0xbe9a47ef},{0xc285b0a6,0x54606a62},{0x70c480cf,0xc649e0ce},{0x4d2fa0ea,0xea31cfd5},{0xc0273f7d,0xa8654e2b},{0x5a3eab25,0x3f7f9093},{0xb7e99e90,0xc61cdb10},{0x201cb64e,0x4fe7e4c6},{0xfb39973c,0xc1e1b75e},{0x5143ab11,0xa90faad0},{0x1c5c8df8,0x6c64d4e7},{0x0dea998e,0xe5e0c738},}, - {{0x654e35f8,0x9632dac7},{0xb1eef091,0x01abfa8c},{0x536a48bf,0x71c0976a},{0xb5144f39,0xd34a74dc},{0x4d2fa0ea,0xea31cfd5},{0x0106ae23,0xcc395a28},{0x437c24a0,0x3587858d},{0xfcfd4069,0x375c131a},{0xbd35dab7,0x5735f467},{0x7de32430,0xd8f93107},{0xc647c1bf,0xf797a923},{0x54e981da,0xb06c64ea},}, - {{0x5035b31d,0x663fe330},{0xd32ba75d,0x799775a4},{0x2e1803a7,0xf5ff3fdc},{0x536a48bf,0x71c0976a},{0x70c480cf,0xc649e0ce},{0x42e94c3d,0x21eaf277},{0x847ecfd6,0xa353eca9},{0x0c91aa69,0x513f7209},{0x8e88b96d,0x4de77cf8},{0x25ef5c91,0x2fcb53fb},{0x16760de3,0x4e20757a},{0x82a4c673,0x8987a17b},}, - {{0x6b5e858f,0xe972ef3f},{0x0307a15f,0xde8b0806},{0xd32ba75d,0x799775a4},{0xb1eef091,0x01abfa8c},{0xc285b0a6,0x54606a62},{0x345adbdc,0x0f4abea5},{0x15275b34,0x1ae83290},{0x06d746ce,0xa862d07f},{0x09f42b98,0xa031b0ec},{0x8b1c80ba,0xe4985afc},{0xdda9224c,0x6fe014a8},{0xb3f7d59f,0x5d2f0bbd},}, -}; - -__constant__ constexpr base_field ROUND_CONSTANTS_FOR_FUSED_S_BOXES[NUM_PARTIAL_ROUNDS] = {{0x86a84545,0x5aac244c},{0x7b8c5f14,0xc6958603},{0x10dca556,0x57c6ce56},{0x77cfe972,0x70b101e6},{0x676339dc,0x259e5211},{0xf8e9070b,0x07c32667},{0x9d8fd700,0x18cc593a},{0xb027909e,0xf2308b63},{0x61b53f49,0xe45e0385},{0x0f985740,0x962427fb},{0xd87512d7,0x96aee573},{0x39e0eb3a,0x81f05055},{0x28fb1dce,0x7def1e8f},{0x5e2accc2,0xc638bfc5},{0x1da0b0e4,0xed1c65b5},{0x0e3d5434,0xc318208a},{0xf23504f3,0xac653516},{0xade4c5fd,0x69750800},{0xb73fc812,0xd32c58ad},{0xe66d8df9,0x63b1e15a},{0x0e6892b9,0x35376ed5},{0x046d48ec,0x9da41449},}; - -__constant__ constexpr base_field VS_FOR_PARTIAL_ROUNDS[NUM_PARTIAL_ROUNDS][STATE_WIDTH - 1] = { - {{0x73d3aeca,0x54accab2},{0x3b1f1da9,0x12fecae3},{0x49ea9a27,0x573bb854},{0x9f172aad,0x6b5ddc13},{0x34465d4c,0xd2b6d0ca},{0xbddfc269,0x51cf0aaf},{0x79e7a403,0x6075e646},{0x41900ac9,0x678316c0},{0xb343fc57,0x10019c84},{0x0922f644,0xde5b8128},{0xb2f2f305,0x42490a86},}, - {{0xf7bacc46,0x337c5930},{0xf1afb921,0x334792a4},{0x426e540e,0xc97ea5f1},{0x337bd780,0x5fc74568},{0x391d80ef,0xfd5718cc},{0x337d923c,0xef90b77a},{0x8f153fea,0xb2856199},{0x894345aa,0xed5f65b8},{0x985893a7,0x7e2aacb5},{0xb644fcf0,0xcbde536c},{0xa07fc43b,0x07338300},}, - {{0xfcc8b4c1,0xd4c9ad02},{0xa1caa815,0x2890dac7},{0xc45f5db2,0x7d62bc45},{0xdb5deac2,0x0a902300},{0x307f62a4,0x663f3726},{0xc7d8eb3b,0x050bda7d},{0xf051c5b6,0xd9db68f3},{0xa38210aa,0xc5110194},{0x6533be0e,0x40386213},{0x3d9b227d,0x20039e05},{0x262c5f3c,0xe2c90d16},}, - {{0x3396c755,0x6578da96},{0x6bc1e86f,0xea6b546e},{0xc66c2be3,0x4e562ef0},{0xe0f9d22e,0x35b839da},{0x857b058c,0x4aab3d88},{0x7ac462d3,0x4f7443e0},{0xc385e50f,0x93c2c5bb},{0xea023ce2,0xc0c0c5c8},{0x4b62965d,0x8409c53d},{0x8135dcd1,0x0489f225},{0xc736aec9,0x32958358},}, - {{0x15b0a455,0xe13b50ca},{0x2b5d4547,0x9878071e},{0xb4172b30,0xb8e50d27},{0x8d3ea142,0xbf312f82},{0x3020e6e8,0x5b851057},{0x9d8d6afa,0x7c3091c2},{0x50f194fa,0x7e2d900a},{0x0d0b0409,0xb236d508},{0xc3b99320,0x08f148b6},{0xadbe604c,0x679c6b9c},{0x2ad9b9f2,0x6b0313be},}, - {{0x20459b0e,0x12038ac3},{0xb25cd8e0,0x7abd36c6},{0x930e5a13,0x37cc3583},{0x446a691d,0xafe725c4},{0xdeb38d80,0x99d89cca},{0x5528ec36,0x96c820be},{0xdc84ede6,0x9b63969f},{0x5ad78c48,0x8f8f21cf},{0xbc3c2d8b,0x1a4d3573},{0xe771866e,0x9f5a7bd9},{0xb72497fc,0x5bcef938},}, - {{0xbe6add7a,0x5f969817},{0xae5a4c6d,0x572b04c1},{0xac9a287b,0x8d219b8f},{0x6372f434,0x4566b3c5},{0x08bf4441,0xdd3f46f1},{0xaa3912c4,0xd7e1469b},{0x68e071fc,0xac36377b},{0x201d771a,0xf348c609},{0xe2ebdd96,0x0bb926a5},{0xaee4705a,0x30efa780},{0x3691146a,0xb24ff267},}, - {{0xa1dab6e2,0x5d0324b3},{0xcc9e564b,0xbd1491a0},{0xb528ef99,0xb8699e13},{0x753ee023,0x7743d9a8},{0xcdb5bcbc,0xce577363},{0x4f006774,0xc056688d},{0x10d7fdf2,0x61f9363c},{0x30f6e06d,0x5f730e55},{0x3adf0072,0x25efb9ef},{0xe21a8aa7,0xcf971d58},{0xd0d70680,0xd830d7e8},}, - {{0xac42f39d,0x36e69157},{0xddf62d3e,0x3e7aca69},{0xac42bb30,0xbbbef86c},{0x56c27043,0xa2e793ae},{0xbc40c8a0,0x2a315dc4},{0xf3b3af55,0x84022758},{0x4e7a470d,0x668809e7},{0xfdee1820,0xf2d91eaa},{0x16d03294,0x50f19afd},{0x223bcd4b,0x30c087d3},{0x458cc633,0xf5739d95},}, - {{0x75028317,0x15266b5a},{0xc9f88799,0x8059f198},{0x86c65244,0x437a0703},{0x3942929d,0xc70e0bb7},{0x7ae137ea,0xa8b32cb3},{0x8323a459,0xc2e55627},{0x54091692,0xbc486da7},{0x67d6b541,0x7815a234},{0x930e8be6,0x3e6dba4e},{0x915d56ba,0x6b4277b0},{0xc7922ea0,0x20212bfa},}, - {{0x067b0c8b,0xeeba270c},{0x8941f29a,0xa4d57645},{0x8c8c83be,0xecdf04a2},{0x215d7dda,0xc808f0af},{0xecced0fb,0x424f4bfb},{0xc10e58b3,0xe4cbf6c0},{0xfa09c031,0x66a87beb},{0x43d5f0a4,0x614ffc94},{0xf7b7975a,0x96c96636},{0x6f860cc5,0x58d4222a},{0x5bf50169,0x2d4f51c7},}, - {{0xec55310f,0xab43452a},{0xec2b398c,0x0a719e77},{0xa3f5f74f,0x8f946888},{0x9f7ad4fb,0x7b447e0d},{0xb40ef226,0x7a2887ce},{0xc1c49e50,0x8840b904},{0x0b0eaddc,0xd91ea251},{0xa1a220fb,0x6617fa40},{0xa845cb45,0xb1c41a72},{0x81868092,0x02c27152},{0x46ca37bd,0xaf5b1b6c},}, - {{0xdbcbe631,0xe27649b9},{0x1d5e73b2,0x4afdf11d},{0x99160910,0x05285a0e},{0x7ed8d3ba,0x23bfd619},{0x28792aab,0xb1e62920},{0x14e05cae,0xc997f6cc},{0x55a555bd,0x34793ec2},{0x5a76dd03,0xeb4f2da3},{0xc9910f3a,0x767a5552},{0x7c30a447,0x4c4cc698},{0x20578f8d,0x64da2b69},}, - {{0xcc0720ac,0xe97ce2fe},{0xfcdeae8a,0x99fc5741},{0x8b345692,0x0ac47be5},{0x1f2cccda,0x75a44612},{0x02691c8e,0xf38e40a1},{0x594714ef,0xdbe5d707},{0xab92e450,0x6ab183bd},{0x0dc10451,0x0aed8385},{0xa4373c93,0x66e16941},{0x3e1034a1,0x22af15bb},{0x2ed23ccc,0xab2136f2},}, - {{0x3c4c46c1,0xb0d3214d},{0x4053346c,0x3983bffd},{0x2a6a9e64,0xab1239b7},{0x2406c089,0x669bcbda},{0xe563feda,0xf3118af8},{0xd43a9c95,0x58323dbd},{0x0b51fd8c,0x5438aa91},{0x573f7e4f,0xcbf071f9},{0x40075e51,0x476c8fde},{0xc77d8bed,0xa10f54d3},{0xc7346beb,0xfecafe7e},}, - {{0x16f68fa8,0x79e00c69},{0xc11400d6,0x80e39c20},{0xa7c116b7,0x242e2b46},{0x074fcff6,0xea660990},{0xa4c9272b,0x18e3369d},{0x8be33b80,0xfa6471be},{0x83a4574a,0xede2ed2a},{0x0deaaed6,0x9e595d61},{0xfcacdc58,0xc7d2cf35},{0xa9af2302,0xc65cf113},{0x0cac5fde,0x35a74c3d},}, - {{0x9aeabd4b,0x35d6cf1a},{0xb64954c3,0x4dc004b0},{0x210b4c8f,0xcb67ab54},{0x0621d28e,0xa2359b77},{0x5e315bf6,0x027a0a0a},{0x92a86ef6,0xed6aad04},{0x8969232c,0x127074e2},{0x354d396f,0x3e3d68e6},{0x96edf7c6,0x3cf204ab},{0xb70c18bf,0x513a9050},{0x9a3f5281,0x73b3b739},}, - {{0x5b7cd620,0x0af9319d},{0xcd8a897d,0x0514fbce},{0x46738f8d,0x542dd32e},{0x25e9bd45,0x49248ae4},{0xc36e53ea,0x8bb9ef7a},{0xc414a723,0x97981020},{0xc024e0c8,0xe587f186},{0x8e990ad2,0x14f01dd2},{0xe19ea756,0x4d3fca72},{0x1ee8e7f1,0x01a3824f},{0x575f250e,0xb048d25b},}, - {{0x6c6aa236,0xe78a4cfe},{0xdefd3b04,0x4840deff},{0x28e63e47,0x6e0952d0},{0x1d93304d,0x249d49fb},{0x49f7fbb3,0xd41ce9ed},{0x8ea77466,0xba255e80},{0xc2005436,0x5ce52e6d},{0xcd881a04,0x8b5bf13a},{0x3ac011d1,0xf80f439f},{0x2cc3f916,0x1d3618fb},{0x37e14938,0xf41489c8},}, - {{0x5af15054,0x41e06566},{0x6d1bba64,0x71752ac8},{0xf8ceadeb,0x9bfddd30},{0x6c985767,0x4f59dd5e},{0x8ecaa657,0x8aa3e071},{0xd4199ca2,0x355f734e},{0xaec4d693,0x110f361b},{0xe134b5b1,0x283a46e9},{0x6f5c6514,0x4fda3337},{0x565e7d13,0xcca192f9},{0xb1c24c39,0x2251835d},}, - {{0x5970a849,0xc583f62f},{0x41cd89dd,0xb6cc3257},{0x7f07ac1f,0xf8328846},{0x64b845e7,0xfd826249},{0x00a49fdd,0x11967e4e},{0xe9f72577,0x2fb200fa},{0x3c7d5da7,0xd6fb3191},{0x8dd090cc,0xfad9ae57},{0x741ea5d8,0xcd13b2be},{0xf54b0c27,0xc1c54f9c},{0x1b657cce,0x29520a76},}, - {{0xa2b39f4a,0x0ac0e496},{0x59e27953,0x20571abb},{0x579a1d30,0xe9971143},{0xdba518cb,0x980359c3},{0x85b427c4,0x05ecee5a},{0xad0b5366,0x4620dd90},{0x5b859365,0x95c98f9c},{0xfbc56995,0x0fbb1806},{0x802afae2,0xfe4526fd},{0x31084092,0x70e37864},{0x94939111,0xa8d78a04},}, -}; - -__constant__ constexpr base_field W_HATS_FOR_PARTIAL_ROUNDS[NUM_PARTIAL_ROUNDS][STATE_WIDTH - 1] = { - {{0xc32e6569,0x9a5dd25d},{0x0e7510fa,0xd4b82de0},{0xb344404a,0x165bdcd7},{0x6b8edfd4,0xa85b4c12},{0x92ab4f96,0xcd2735bf},{0x7da8ac41,0xdc07742c},{0xfc5ae49f,0x953fc266},{0xbfc847bf,0x0a151c20},{0xf5afedb5,0x0c550cae},{0x888c5fa8,0x74d28901},{0x30cc1741,0xdc51b68c},}, - {{0x4246c828,0x4f765e0a},{0xdd477a84,0xbbdc8cba},{0x7de2344c,0x052a5abd},{0x4d9c7fab,0xab88daa0},{0xbee798ef,0xbc8fd7ac},{0x0d8a7a09,0xe55d796c},{0xed2c556c,0x40824732},{0x6eabeaa4,0x298a94d5},{0x11312b6c,0x719fcd5e},{0x131d1ac7,0x1ec9a560},{0x497f7fd1,0xabc54a42},}, - {{0xeeeeb0d6,0xb51f81e6},{0x7161d1ef,0xc6f3c34e},{0x255eed5b,0x1e93b9e2},{0x3ec48cc2,0xa78338e6},{0xc7220a56,0xea6e89d1},{0xc2814bc5,0xaa52f6a1},{0x5e09fba0,0x5896b639},{0x8d5f1eee,0xf7fc97a1},{0x111823e8,0xf2712e64},{0xf1f857f4,0x4f84821b},{0xd72da206,0x02041415},}, - {{0x4a391e77,0x39286a4a},{0xebc97214,0x4ac16c7b},{0xb895a01f,0x7427cbbc},{0x0b14759b,0x2ef8491d},{0xe20fa616,0xbec7625e},{0xaf749b6f,0x7c64393f},{0xc9826dc5,0x0f61c751},{0xe8ccb8a7,0x700e6f3e},{0x47ef8667,0x5bdea3b4},{0xa6e97588,0xa0f569a5},{0x5d7cae2d,0xcc9e7811},}, - {{0xb678e5ee,0x0933079a},{0x33c54a28,0xed6861bf},{0x1749a497,0x62503e6e},{0xdea83ac6,0x745a9c65},{0x6e700cf0,0x20ce351f},{0x30fafb8a,0x2ec0b18d},{0x22b5f299,0x0312f54c},{0x18fd6cd5,0x52229772},{0x45868eec,0x82662e84},{0x5040265d,0xc4cab633},{0x9efb9217,0x12e5790e},}, - {{0x63871f55,0x0d829aec},{0x5086dd8c,0x384d8a42},{0x657bfd3e,0x13e78b54},{0x03093566,0x2a45a17a},{0x6233b9be,0x7b687265},{0xb12bbb4c,0xddc0281b},{0x0652d7c8,0xa224ebff},{0x7780ea5c,0xc5ca9720},{0x4d3586ba,0x48423619},{0x4a44f3f7,0x432a56d4},{0x862fc532,0xc41f926f},}, - {{0xd9ef5e06,0x9366cd7e},{0x8175f223,0xd7f94109},{0xe1c9f2b1,0x9af7dda3},{0xa03525f5,0x9a0ec6d0},{0xfb0fb387,0x3ab244f4},{0xeb1d5778,0xd8c4e357},{0xe25edbbb,0xe62157e2},{0xf841f1f8,0xafcd6630},{0x738708fb,0xc3969199},{0x1e6a551f,0xa8224d31},{0xc655fd9f,0xc2c0a01f},}, - {{0x013cd9b6,0xd78498f2},{0x00b2908c,0x675d21a2},{0x9e88c707,0x70bfd23b},{0xcfd078e3,0x85472dcb},{0xcfffd574,0x5658c961},{0xda3ca315,0x89e05a2c},{0xf8186a9f,0x1b51ae1f},{0x6c7822cb,0xca648f8c},{0x47957f4d,0x7233c926},{0x62d37ffa,0x520bf21c},{0x407a2ca7,0x897496c7},}, - {{0xca4eee19,0x8e80cf5b},{0x6bc1afcf,0x75477912},{0x4b379cb0,0x07e88776},{0x12f91d5e,0x7dc7c14e},{0xfb6b0264,0xc8f5dab5},{0x021f9176,0x1c842cf8},{0x2e2db2c0,0x69b56a7e},{0x7fef3445,0xf30253f7},{0x919efb99,0x14bb3a62},{0x24a5d89c,0xff9976d4},{0x0331a202,0x59dde7be},}, - {{0x126330a2,0xdbe04b62},{0x8da1eaec,0x0409b213},{0xb2262691,0x7bd4558e},{0x8d52b05b,0xafa86cfa},{0x97d8c584,0xb83f5701},{0x13990ac1,0xb3ded6cc},{0xb072c9e1,0xfd33937c},{0x41d92952,0xe3b39893},{0xca949ad9,0xd26e76d6},{0x48f88e86,0x35c89a85},{0x940c3b43,0x8af785bd},}, - {{0x01c790da,0xcbf3b867},{0xe29f4005,0x63634f67},{0x82363b81,0x008f9039},{0xd6eb0229,0xc2b07f99},{0xd15e2558,0xa8344b83},{0xd103b7b0,0x880f4e5f},{0xa5929072,0xd40eddb0},{0xee571f49,0x476e27cc},{0xb989f9eb,0xe71439b4},{0xf852b2fe,0x97e55074},{0x37e1a2c5,0xdd258c21},}, - {{0x6d23259b,0x982b9036},{0xaa76b306,0xb2667eac},{0x2020ede1,0xecf233e8},{0x7d4a88c7,0x3cee7ac0},{0xfe5a5854,0x31428be2},{0x55c4c4db,0xf1beea1d},{0x80f1ffd2,0x584fd6b5},{0xc8ba0d0b,0x6e2381c3},{0xbafc0611,0x21ab749c},{0x9aba3001,0x8ed389f3},{0xf2b42f13,0xa24ba694},}, - {{0xb02606f9,0xdb30cd9d},{0x682ba257,0x1b0d6736},{0xf5808443,0x0d3bcdec},{0x1dbd3dbd,0x31c33000},{0x70447946,0x9684d223},{0x426c6935,0xde0e24e6},{0xd081ef69,0xf487270d},{0x48f2b252,0xd943f4ef},{0xd1c52d24,0x4c52a7fd},{0x29ea139d,0xc2930820},{0x3da0468a,0xc2ba73ab},}, - {{0xcc74e0d1,0xd093bd0d},{0xce6a98e5,0xe91428f9},{0x6909dc21,0x673dee71},{0x548219d7,0xf22e3223},{0x881a1300,0x3297978d},{0x8218d77c,0x51157b1e},{0x07843889,0x0e3b0a5c},{0xa36752b6,0x273b48df},{0x23576866,0x5dbf2c63},{0x763df9a7,0x1c032b70},{0x159ecbf4,0x1a8d7ed4},}, - {{0xa6c4f3ad,0x8e40b29f},{0xa91daa9b,0x43bc06db},{0x0dd6d846,0x445df162},{0x68c45c46,0xae1e72ed},{0x93ade46d,0x496ee4e5},{0xdce9118f,0x1d3642ed},{0xbd8fd755,0x71a88114},{0x2514943d,0x4a10d6b2},{0xd4d72fee,0x56dca305},{0x95fa62bf,0xe2e4d9ce},{0x47b50b0a,0xfb6bfffd},}, - {{0x6cc557ee,0x4c6c1494},{0xc7ba3226,0x9b1bcbaa},{0x1fa0dd20,0xdd741036},{0xbaf95b26,0x9c8a098c},{0x93503adf,0x3da4f265},{0xcd3bf859,0xffb07b45},{0xaf54a559,0xaf034373},{0x407146bb,0xd6b9bace},{0x972f4ec6,0x7b92c04c},{0x165b9845,0xfe71df71},{0xdc9ebe51,0xad0134b9},}, - {{0xec88aa7c,0xfdaa64ce},{0xd815525c,0x565342e2},{0x259429a8,0xe382458f},{0xd5d1d1ca,0x0f6ba5af},{0x12439a41,0xcba85de4},{0x049ccb1a,0x212d3c62},{0x950267e3,0x930c0bf5},{0x3fc560d8,0x60f87fe4},{0xd878a33b,0x8f1fbdbc},{0xbf9af16f,0xd28b789a},{0x4fa0eb07,0xd921f043},}, - {{0x635e7c18,0xd69c2c80},{0x772f293f,0x5a3d78c8},{0x2ad1ceb5,0x844fe5e7},{0x910dc916,0x81b217e5},{0xb7c8ba85,0x2951409f},{0x5693e367,0x5c135dd9},{0xf9f7ebd2,0xc2e8a723},{0x5d63f38d,0x10bb79bf},{0x50385a89,0x34625b15},{0x8d791163,0xdc623532},{0xed4d5133,0x1eb12b7a},}, - {{0xa89577d0,0x01426fac},{0x36ac4fd0,0x003ca901},{0xdc45a17f,0x00289223},{0x04320612,0x00099217},{0x3669e451,0x0007efae},{0x06b3349d,0x006499f2},{0x9b5dcfe1,0x1001120d},{0x7db4da94,0x000e3aa4},{0x39d35692,0x0320dc83},{0x6247ecbd,0x4030a0a1},{0x9c160a6b,0x04368a65},}, - {{0x37b408f0,0x00000012},{0xc8f1b79c,0x00000004},{0x46de5309,0x00000004},{0xa3e2d4ac,0x00000032},{0x7600eeb7,0x00000c00},{0x0ee771b0,0x00010004},{0x394d0817,0x00000198},{0x10a981ba,0x00003018},{0x37d86f5a,0x0000030f},{0xb1cc04d4,0x0000030a},{0xe7c0b7e9,0x000000c0},}, - {{0x000234a0,0x00000000},{0x00114630,0x00000000},{0x0800260c,0x00000000},{0x00005288,0x00000001},{0x00900194,0x00000000},{0x200800a3,0x00000000},{0x02011034,0x00000000},{0x0105100e,0x00000000},{0x00604025,0x00000000},{0x00114a03,0x00000000},{0x00061481,0x00000000},}, - {{0x00000400,0x00000000},{0x00010000,0x00000000},{0x00000008,0x00000000},{0x00001000,0x00000000},{0x00000100,0x00000000},{0x00000002,0x00000000},{0x00000020,0x00000000},{0x00000008,0x00000000},{0x00000001,0x00000000},{0x00000002,0x00000000},{0x00000001,0x00000000},}, -}; - -#endif - -} // namespace poseidon - -namespace poseidon2 { - -using namespace poseidon_common; - -// Helps define diagonal elements of M_I for poseidon2: M_I[i, i] = 2^LOG_MU_MINUS_ONE[i] + 1 -__device__ static constexpr unsigned LOG_MU_MINUS_ONE[STATE_WIDTH] = {4, 14, 11, 8, 0, 5, 2, 9, 13, 6, 3, 12}; - -// Poseidon2 math often breaks down into actions on tiles of 4 adjacent state elements. -constexpr unsigned TILE = 4; -constexpr unsigned TILES_PER_STATE = STATE_WIDTH / TILE; - -} // namespace poseidon2 - -// clang-format on diff --git a/crates/boojum-cuda/native/poseidon_constants_template.cuh b/crates/boojum-cuda/native/poseidon_constants_template.cuh deleted file mode 100644 index 91a498d..0000000 --- a/crates/boojum-cuda/native/poseidon_constants_template.cuh +++ /dev/null @@ -1,134 +0,0 @@ -// clang-format off -#pragma once - -namespace poseidon_common { - -using namespace goldilocks; - -constexpr unsigned RATE = %RATE%; -constexpr unsigned CAPACITY = %CAPACITY%; -constexpr unsigned STATE_WIDTH = RATE + CAPACITY; -constexpr unsigned HALF_NUM_FULL_ROUNDS = %HALF_NUM_FULL_ROUNDS%; -constexpr unsigned NUM_FULL_ROUNDS_TOTAL = 2 * HALF_NUM_FULL_ROUNDS; -constexpr unsigned NUM_PARTIAL_ROUNDS = %NUM_PARTIAL_ROUNDS%; -constexpr unsigned TOTAL_NUM_ROUNDS = NUM_FULL_ROUNDS_TOTAL + NUM_PARTIAL_ROUNDS; - -__constant__ constexpr base_field ALL_ROUND_CONSTANTS[TOTAL_NUM_ROUNDS][STATE_WIDTH] = {%ALL_ROUND_CONSTANTS%}; - -} // namespace poseidon_common - -namespace poseidon { - -using namespace poseidon_common; - -//__constant__ constexpr unsigned MDS_MATRIX_EXPS[STATE_WIDTH] = {%MDS_MATRIX_EXPS%}; -// -//__constant__ constexpr unsigned MDS_MATRIX_EXPS_ORDER[STATE_WIDTH] = {%MDS_MATRIX_EXPS_ORDER%}; -// -//__constant__ constexpr unsigned MDS_MATRIX_SHIFTS[STATE_WIDTH] = {%MDS_MATRIX_SHIFTS%}; - -__constant__ constexpr unsigned MDS_MATRIX_EXPS[STATE_WIDTH] = {0,0,1,0,3,5,1,8,12,3,16,10,}; - -__constant__ constexpr unsigned MDS_MATRIX_EXPS_ORDER[STATE_WIDTH] = {10,8,11,7,5,9,4,6,2,3,1,0,}; - -__constant__ constexpr unsigned MDS_MATRIX_SHIFTS[STATE_WIDTH] = {4,2,2,3,2,0,2,0,1,0,0,0,}; - -#ifdef POSEIDON_OPTIMIZED - -//__constant__ constexpr base_field ROUND_CONSTANTS_FUSED_LAST_FULL_AND_FIRST_PARTIAL[STATE_WIDTH] = {%ROUND_CONSTANTS_FUSED_LAST_FULL_AND_FIRST_PARTIAL%}; -// -//__constant__ constexpr base_field FUSED_DENSE_MATRIX_LAST_FULL_AND_FIRST_PARTIAL[STATE_WIDTH][STATE_WIDTH] = {%FUSED_DENSE_MATRIX_LAST_FULL_AND_FIRST_PARTIAL%}; -// -//__constant__ constexpr base_field ROUND_CONSTANTS_FOR_FUSED_S_BOXES[NUM_PARTIAL_ROUNDS] = {%ROUND_CONSTANTS_FOR_FUSED_S_BOXES%}; -// -//__constant__ constexpr base_field VS_FOR_PARTIAL_ROUNDS[NUM_PARTIAL_ROUNDS][STATE_WIDTH - 1] = {%VS_FOR_PARTIAL_ROUNDS%}; -// -//__constant__ constexpr base_field W_HATS_FOR_PARTIAL_ROUNDS[NUM_PARTIAL_ROUNDS][STATE_WIDTH - 1] = {%W_HATS_FOR_PARTIAL_ROUNDS%}; - -__constant__ constexpr base_field ROUND_CONSTANTS_FUSED_LAST_FULL_AND_FIRST_PARTIAL[STATE_WIDTH] = {{0x6b59c25c,0x84e4af5a},{0x13562787,0xb27cbd80},{0xfbd3951d,0x7ba22b97},{0xe39c1a86,0x00639bc7},{0x95278250,0x60f14526},{0xfe75b0bd,0x046d5768},{0xa956b99d,0x6b2e91dc},{0x97e7f0ad,0xbc07cccf},{0x22ec57b5,0x787b8852},{0x03e05666,0x795f1537},{0xcb0dd061,0x470dd42f},{0x301c6061,0x0250ab6a},}; - -__constant__ constexpr base_field FUSED_DENSE_MATRIX_LAST_FULL_AND_FIRST_PARTIAL[STATE_WIDTH][STATE_WIDTH] = { - {{0x00000001,0x00000000},{0x00000001,0x00000000},{0x00000002,0x00000000},{0x00000001,0x00000000},{0x00000008,0x00000000},{0x00000020,0x00000000},{0x00000002,0x00000000},{0x00000100,0x00000000},{0x00001000,0x00000000},{0x00000008,0x00000000},{0x00010000,0x00000000},{0x00000400,0x00000000},}, - {{0x09a6d3cf,0x1bd92497},{0xb3f7d59f,0x5d2f0bbd},{0x82a4c673,0x8987a17b},{0x54e981da,0xb06c64ea},{0x0dea998e,0xe5e0c738},{0xf3ff2a7d,0x6dd065fc},{0x61a3a1e3,0xaed01f17},{0x62c76aea,0x9fd0589b},{0x9aecad3e,0x98c86f26},{0xe370b012,0xd5a1b486},{0x0dbd7afb,0x39c5526e},{0x4556d5c9,0xe22970d2},}, - {{0xd9936f0a,0x7cc3fbf3},{0xdda9224c,0x6fe014a8},{0x16760de3,0x4e20757a},{0xc647c1bf,0xf797a923},{0x1c5c8df8,0x6c64d4e7},{0xf685b388,0x30abb56a},{0x440b6a06,0x8fc29e22},{0x22365fb1,0xcadcef95},{0xe3c562ef,0x80364aa2},{0xaad90648,0x91e095e8},{0xed9ee94c,0x5f6c398d},{0x0dbd7afb,0x39c5526e},}, - {{0x109257da,0xdb606d34},{0x8b1c80ba,0xe4985afc},{0x25ef5c91,0x2fcb53fb},{0x7de32430,0xd8f93107},{0x5143ab11,0xa90faad0},{0xb021bc7e,0x7e48fd16},{0xa6bfcd3b,0x2ed2c4be},{0xaee9f88d,0x95dd45e6},{0xbd406669,0xb25a0610},{0x3ca55fd2,0xe582cd6e},{0xaad90648,0x91e095e8},{0xe370b012,0xd5a1b486},}, - {{0xc2c3dec2,0x49ba17d3},{0x09f42b98,0xa031b0ec},{0x8e88b96d,0x4de77cf8},{0xbd35dab7,0x5735f467},{0xfb39973c,0xc1e1b75e},{0x931f6b9a,0x5af7fb36},{0xb66d4e2b,0xda0a7125},{0x1d3a9ac8,0x0fd17f14},{0x190051f5,0x189fe463},{0xbd406669,0xb25a0610},{0xe3c562ef,0x80364aa2},{0x9aecad3e,0x98c86f26},}, - {{0xbf3de311,0x604fa87e},{0x06d746ce,0xa862d07f},{0x0c91aa69,0x513f7209},{0xfcfd4069,0x375c131a},{0x201cb64e,0x4fe7e4c6},{0x37bd0d8f,0xc4e144af},{0xcca953f6,0x88ea5c8d},{0x776dd0ff,0x6d2f4db1},{0x1d3a9ac8,0x0fd17f14},{0xaee9f88d,0x95dd45e6},{0x22365fb1,0xcadcef95},{0x62c76aea,0x9fd0589b},}, - {{0xf3d29d2c,0x3f0afdee},{0x15275b34,0x1ae83290},{0x847ecfd6,0xa353eca9},{0x437c24a0,0x3587858d},{0xb7e99e90,0xc61cdb10},{0xeaa4c22e,0x49083456},{0x6b019b13,0xa9a893c1},{0xcca953f6,0x88ea5c8d},{0xb66d4e2b,0xda0a7125},{0xa6bfcd3b,0x2ed2c4be},{0x440b6a06,0x8fc29e22},{0x61a3a1e3,0xaed01f17},}, - {{0x449fb60a,0x5081ad5c},{0x345adbdc,0x0f4abea5},{0x42e94c3d,0x21eaf277},{0x0106ae23,0xcc395a28},{0x5a3eab25,0x3f7f9093},{0xb2821c13,0x85467283},{0xeaa4c22e,0x49083456},{0x37bd0d8f,0xc4e144af},{0x931f6b9a,0x5af7fb36},{0xb021bc7e,0x7e48fd16},{0xf685b388,0x30abb56a},{0xf3ff2a7d,0x6dd065fc},}, - {{0x597e74b4,0xbe9a47ef},{0xc285b0a6,0x54606a62},{0x70c480cf,0xc649e0ce},{0x4d2fa0ea,0xea31cfd5},{0xc0273f7d,0xa8654e2b},{0x5a3eab25,0x3f7f9093},{0xb7e99e90,0xc61cdb10},{0x201cb64e,0x4fe7e4c6},{0xfb39973c,0xc1e1b75e},{0x5143ab11,0xa90faad0},{0x1c5c8df8,0x6c64d4e7},{0x0dea998e,0xe5e0c738},}, - {{0x654e35f8,0x9632dac7},{0xb1eef091,0x01abfa8c},{0x536a48bf,0x71c0976a},{0xb5144f39,0xd34a74dc},{0x4d2fa0ea,0xea31cfd5},{0x0106ae23,0xcc395a28},{0x437c24a0,0x3587858d},{0xfcfd4069,0x375c131a},{0xbd35dab7,0x5735f467},{0x7de32430,0xd8f93107},{0xc647c1bf,0xf797a923},{0x54e981da,0xb06c64ea},}, - {{0x5035b31d,0x663fe330},{0xd32ba75d,0x799775a4},{0x2e1803a7,0xf5ff3fdc},{0x536a48bf,0x71c0976a},{0x70c480cf,0xc649e0ce},{0x42e94c3d,0x21eaf277},{0x847ecfd6,0xa353eca9},{0x0c91aa69,0x513f7209},{0x8e88b96d,0x4de77cf8},{0x25ef5c91,0x2fcb53fb},{0x16760de3,0x4e20757a},{0x82a4c673,0x8987a17b},}, - {{0x6b5e858f,0xe972ef3f},{0x0307a15f,0xde8b0806},{0xd32ba75d,0x799775a4},{0xb1eef091,0x01abfa8c},{0xc285b0a6,0x54606a62},{0x345adbdc,0x0f4abea5},{0x15275b34,0x1ae83290},{0x06d746ce,0xa862d07f},{0x09f42b98,0xa031b0ec},{0x8b1c80ba,0xe4985afc},{0xdda9224c,0x6fe014a8},{0xb3f7d59f,0x5d2f0bbd},}, -}; - -__constant__ constexpr base_field ROUND_CONSTANTS_FOR_FUSED_S_BOXES[NUM_PARTIAL_ROUNDS] = {{0x86a84545,0x5aac244c},{0x7b8c5f14,0xc6958603},{0x10dca556,0x57c6ce56},{0x77cfe972,0x70b101e6},{0x676339dc,0x259e5211},{0xf8e9070b,0x07c32667},{0x9d8fd700,0x18cc593a},{0xb027909e,0xf2308b63},{0x61b53f49,0xe45e0385},{0x0f985740,0x962427fb},{0xd87512d7,0x96aee573},{0x39e0eb3a,0x81f05055},{0x28fb1dce,0x7def1e8f},{0x5e2accc2,0xc638bfc5},{0x1da0b0e4,0xed1c65b5},{0x0e3d5434,0xc318208a},{0xf23504f3,0xac653516},{0xade4c5fd,0x69750800},{0xb73fc812,0xd32c58ad},{0xe66d8df9,0x63b1e15a},{0x0e6892b9,0x35376ed5},{0x046d48ec,0x9da41449},}; - -__constant__ constexpr base_field VS_FOR_PARTIAL_ROUNDS[NUM_PARTIAL_ROUNDS][STATE_WIDTH - 1] = { - {{0x73d3aeca,0x54accab2},{0x3b1f1da9,0x12fecae3},{0x49ea9a27,0x573bb854},{0x9f172aad,0x6b5ddc13},{0x34465d4c,0xd2b6d0ca},{0xbddfc269,0x51cf0aaf},{0x79e7a403,0x6075e646},{0x41900ac9,0x678316c0},{0xb343fc57,0x10019c84},{0x0922f644,0xde5b8128},{0xb2f2f305,0x42490a86},}, - {{0xf7bacc46,0x337c5930},{0xf1afb921,0x334792a4},{0x426e540e,0xc97ea5f1},{0x337bd780,0x5fc74568},{0x391d80ef,0xfd5718cc},{0x337d923c,0xef90b77a},{0x8f153fea,0xb2856199},{0x894345aa,0xed5f65b8},{0x985893a7,0x7e2aacb5},{0xb644fcf0,0xcbde536c},{0xa07fc43b,0x07338300},}, - {{0xfcc8b4c1,0xd4c9ad02},{0xa1caa815,0x2890dac7},{0xc45f5db2,0x7d62bc45},{0xdb5deac2,0x0a902300},{0x307f62a4,0x663f3726},{0xc7d8eb3b,0x050bda7d},{0xf051c5b6,0xd9db68f3},{0xa38210aa,0xc5110194},{0x6533be0e,0x40386213},{0x3d9b227d,0x20039e05},{0x262c5f3c,0xe2c90d16},}, - {{0x3396c755,0x6578da96},{0x6bc1e86f,0xea6b546e},{0xc66c2be3,0x4e562ef0},{0xe0f9d22e,0x35b839da},{0x857b058c,0x4aab3d88},{0x7ac462d3,0x4f7443e0},{0xc385e50f,0x93c2c5bb},{0xea023ce2,0xc0c0c5c8},{0x4b62965d,0x8409c53d},{0x8135dcd1,0x0489f225},{0xc736aec9,0x32958358},}, - {{0x15b0a455,0xe13b50ca},{0x2b5d4547,0x9878071e},{0xb4172b30,0xb8e50d27},{0x8d3ea142,0xbf312f82},{0x3020e6e8,0x5b851057},{0x9d8d6afa,0x7c3091c2},{0x50f194fa,0x7e2d900a},{0x0d0b0409,0xb236d508},{0xc3b99320,0x08f148b6},{0xadbe604c,0x679c6b9c},{0x2ad9b9f2,0x6b0313be},}, - {{0x20459b0e,0x12038ac3},{0xb25cd8e0,0x7abd36c6},{0x930e5a13,0x37cc3583},{0x446a691d,0xafe725c4},{0xdeb38d80,0x99d89cca},{0x5528ec36,0x96c820be},{0xdc84ede6,0x9b63969f},{0x5ad78c48,0x8f8f21cf},{0xbc3c2d8b,0x1a4d3573},{0xe771866e,0x9f5a7bd9},{0xb72497fc,0x5bcef938},}, - {{0xbe6add7a,0x5f969817},{0xae5a4c6d,0x572b04c1},{0xac9a287b,0x8d219b8f},{0x6372f434,0x4566b3c5},{0x08bf4441,0xdd3f46f1},{0xaa3912c4,0xd7e1469b},{0x68e071fc,0xac36377b},{0x201d771a,0xf348c609},{0xe2ebdd96,0x0bb926a5},{0xaee4705a,0x30efa780},{0x3691146a,0xb24ff267},}, - {{0xa1dab6e2,0x5d0324b3},{0xcc9e564b,0xbd1491a0},{0xb528ef99,0xb8699e13},{0x753ee023,0x7743d9a8},{0xcdb5bcbc,0xce577363},{0x4f006774,0xc056688d},{0x10d7fdf2,0x61f9363c},{0x30f6e06d,0x5f730e55},{0x3adf0072,0x25efb9ef},{0xe21a8aa7,0xcf971d58},{0xd0d70680,0xd830d7e8},}, - {{0xac42f39d,0x36e69157},{0xddf62d3e,0x3e7aca69},{0xac42bb30,0xbbbef86c},{0x56c27043,0xa2e793ae},{0xbc40c8a0,0x2a315dc4},{0xf3b3af55,0x84022758},{0x4e7a470d,0x668809e7},{0xfdee1820,0xf2d91eaa},{0x16d03294,0x50f19afd},{0x223bcd4b,0x30c087d3},{0x458cc633,0xf5739d95},}, - {{0x75028317,0x15266b5a},{0xc9f88799,0x8059f198},{0x86c65244,0x437a0703},{0x3942929d,0xc70e0bb7},{0x7ae137ea,0xa8b32cb3},{0x8323a459,0xc2e55627},{0x54091692,0xbc486da7},{0x67d6b541,0x7815a234},{0x930e8be6,0x3e6dba4e},{0x915d56ba,0x6b4277b0},{0xc7922ea0,0x20212bfa},}, - {{0x067b0c8b,0xeeba270c},{0x8941f29a,0xa4d57645},{0x8c8c83be,0xecdf04a2},{0x215d7dda,0xc808f0af},{0xecced0fb,0x424f4bfb},{0xc10e58b3,0xe4cbf6c0},{0xfa09c031,0x66a87beb},{0x43d5f0a4,0x614ffc94},{0xf7b7975a,0x96c96636},{0x6f860cc5,0x58d4222a},{0x5bf50169,0x2d4f51c7},}, - {{0xec55310f,0xab43452a},{0xec2b398c,0x0a719e77},{0xa3f5f74f,0x8f946888},{0x9f7ad4fb,0x7b447e0d},{0xb40ef226,0x7a2887ce},{0xc1c49e50,0x8840b904},{0x0b0eaddc,0xd91ea251},{0xa1a220fb,0x6617fa40},{0xa845cb45,0xb1c41a72},{0x81868092,0x02c27152},{0x46ca37bd,0xaf5b1b6c},}, - {{0xdbcbe631,0xe27649b9},{0x1d5e73b2,0x4afdf11d},{0x99160910,0x05285a0e},{0x7ed8d3ba,0x23bfd619},{0x28792aab,0xb1e62920},{0x14e05cae,0xc997f6cc},{0x55a555bd,0x34793ec2},{0x5a76dd03,0xeb4f2da3},{0xc9910f3a,0x767a5552},{0x7c30a447,0x4c4cc698},{0x20578f8d,0x64da2b69},}, - {{0xcc0720ac,0xe97ce2fe},{0xfcdeae8a,0x99fc5741},{0x8b345692,0x0ac47be5},{0x1f2cccda,0x75a44612},{0x02691c8e,0xf38e40a1},{0x594714ef,0xdbe5d707},{0xab92e450,0x6ab183bd},{0x0dc10451,0x0aed8385},{0xa4373c93,0x66e16941},{0x3e1034a1,0x22af15bb},{0x2ed23ccc,0xab2136f2},}, - {{0x3c4c46c1,0xb0d3214d},{0x4053346c,0x3983bffd},{0x2a6a9e64,0xab1239b7},{0x2406c089,0x669bcbda},{0xe563feda,0xf3118af8},{0xd43a9c95,0x58323dbd},{0x0b51fd8c,0x5438aa91},{0x573f7e4f,0xcbf071f9},{0x40075e51,0x476c8fde},{0xc77d8bed,0xa10f54d3},{0xc7346beb,0xfecafe7e},}, - {{0x16f68fa8,0x79e00c69},{0xc11400d6,0x80e39c20},{0xa7c116b7,0x242e2b46},{0x074fcff6,0xea660990},{0xa4c9272b,0x18e3369d},{0x8be33b80,0xfa6471be},{0x83a4574a,0xede2ed2a},{0x0deaaed6,0x9e595d61},{0xfcacdc58,0xc7d2cf35},{0xa9af2302,0xc65cf113},{0x0cac5fde,0x35a74c3d},}, - {{0x9aeabd4b,0x35d6cf1a},{0xb64954c3,0x4dc004b0},{0x210b4c8f,0xcb67ab54},{0x0621d28e,0xa2359b77},{0x5e315bf6,0x027a0a0a},{0x92a86ef6,0xed6aad04},{0x8969232c,0x127074e2},{0x354d396f,0x3e3d68e6},{0x96edf7c6,0x3cf204ab},{0xb70c18bf,0x513a9050},{0x9a3f5281,0x73b3b739},}, - {{0x5b7cd620,0x0af9319d},{0xcd8a897d,0x0514fbce},{0x46738f8d,0x542dd32e},{0x25e9bd45,0x49248ae4},{0xc36e53ea,0x8bb9ef7a},{0xc414a723,0x97981020},{0xc024e0c8,0xe587f186},{0x8e990ad2,0x14f01dd2},{0xe19ea756,0x4d3fca72},{0x1ee8e7f1,0x01a3824f},{0x575f250e,0xb048d25b},}, - {{0x6c6aa236,0xe78a4cfe},{0xdefd3b04,0x4840deff},{0x28e63e47,0x6e0952d0},{0x1d93304d,0x249d49fb},{0x49f7fbb3,0xd41ce9ed},{0x8ea77466,0xba255e80},{0xc2005436,0x5ce52e6d},{0xcd881a04,0x8b5bf13a},{0x3ac011d1,0xf80f439f},{0x2cc3f916,0x1d3618fb},{0x37e14938,0xf41489c8},}, - {{0x5af15054,0x41e06566},{0x6d1bba64,0x71752ac8},{0xf8ceadeb,0x9bfddd30},{0x6c985767,0x4f59dd5e},{0x8ecaa657,0x8aa3e071},{0xd4199ca2,0x355f734e},{0xaec4d693,0x110f361b},{0xe134b5b1,0x283a46e9},{0x6f5c6514,0x4fda3337},{0x565e7d13,0xcca192f9},{0xb1c24c39,0x2251835d},}, - {{0x5970a849,0xc583f62f},{0x41cd89dd,0xb6cc3257},{0x7f07ac1f,0xf8328846},{0x64b845e7,0xfd826249},{0x00a49fdd,0x11967e4e},{0xe9f72577,0x2fb200fa},{0x3c7d5da7,0xd6fb3191},{0x8dd090cc,0xfad9ae57},{0x741ea5d8,0xcd13b2be},{0xf54b0c27,0xc1c54f9c},{0x1b657cce,0x29520a76},}, - {{0xa2b39f4a,0x0ac0e496},{0x59e27953,0x20571abb},{0x579a1d30,0xe9971143},{0xdba518cb,0x980359c3},{0x85b427c4,0x05ecee5a},{0xad0b5366,0x4620dd90},{0x5b859365,0x95c98f9c},{0xfbc56995,0x0fbb1806},{0x802afae2,0xfe4526fd},{0x31084092,0x70e37864},{0x94939111,0xa8d78a04},}, -}; - -__constant__ constexpr base_field W_HATS_FOR_PARTIAL_ROUNDS[NUM_PARTIAL_ROUNDS][STATE_WIDTH - 1] = { - {{0xc32e6569,0x9a5dd25d},{0x0e7510fa,0xd4b82de0},{0xb344404a,0x165bdcd7},{0x6b8edfd4,0xa85b4c12},{0x92ab4f96,0xcd2735bf},{0x7da8ac41,0xdc07742c},{0xfc5ae49f,0x953fc266},{0xbfc847bf,0x0a151c20},{0xf5afedb5,0x0c550cae},{0x888c5fa8,0x74d28901},{0x30cc1741,0xdc51b68c},}, - {{0x4246c828,0x4f765e0a},{0xdd477a84,0xbbdc8cba},{0x7de2344c,0x052a5abd},{0x4d9c7fab,0xab88daa0},{0xbee798ef,0xbc8fd7ac},{0x0d8a7a09,0xe55d796c},{0xed2c556c,0x40824732},{0x6eabeaa4,0x298a94d5},{0x11312b6c,0x719fcd5e},{0x131d1ac7,0x1ec9a560},{0x497f7fd1,0xabc54a42},}, - {{0xeeeeb0d6,0xb51f81e6},{0x7161d1ef,0xc6f3c34e},{0x255eed5b,0x1e93b9e2},{0x3ec48cc2,0xa78338e6},{0xc7220a56,0xea6e89d1},{0xc2814bc5,0xaa52f6a1},{0x5e09fba0,0x5896b639},{0x8d5f1eee,0xf7fc97a1},{0x111823e8,0xf2712e64},{0xf1f857f4,0x4f84821b},{0xd72da206,0x02041415},}, - {{0x4a391e77,0x39286a4a},{0xebc97214,0x4ac16c7b},{0xb895a01f,0x7427cbbc},{0x0b14759b,0x2ef8491d},{0xe20fa616,0xbec7625e},{0xaf749b6f,0x7c64393f},{0xc9826dc5,0x0f61c751},{0xe8ccb8a7,0x700e6f3e},{0x47ef8667,0x5bdea3b4},{0xa6e97588,0xa0f569a5},{0x5d7cae2d,0xcc9e7811},}, - {{0xb678e5ee,0x0933079a},{0x33c54a28,0xed6861bf},{0x1749a497,0x62503e6e},{0xdea83ac6,0x745a9c65},{0x6e700cf0,0x20ce351f},{0x30fafb8a,0x2ec0b18d},{0x22b5f299,0x0312f54c},{0x18fd6cd5,0x52229772},{0x45868eec,0x82662e84},{0x5040265d,0xc4cab633},{0x9efb9217,0x12e5790e},}, - {{0x63871f55,0x0d829aec},{0x5086dd8c,0x384d8a42},{0x657bfd3e,0x13e78b54},{0x03093566,0x2a45a17a},{0x6233b9be,0x7b687265},{0xb12bbb4c,0xddc0281b},{0x0652d7c8,0xa224ebff},{0x7780ea5c,0xc5ca9720},{0x4d3586ba,0x48423619},{0x4a44f3f7,0x432a56d4},{0x862fc532,0xc41f926f},}, - {{0xd9ef5e06,0x9366cd7e},{0x8175f223,0xd7f94109},{0xe1c9f2b1,0x9af7dda3},{0xa03525f5,0x9a0ec6d0},{0xfb0fb387,0x3ab244f4},{0xeb1d5778,0xd8c4e357},{0xe25edbbb,0xe62157e2},{0xf841f1f8,0xafcd6630},{0x738708fb,0xc3969199},{0x1e6a551f,0xa8224d31},{0xc655fd9f,0xc2c0a01f},}, - {{0x013cd9b6,0xd78498f2},{0x00b2908c,0x675d21a2},{0x9e88c707,0x70bfd23b},{0xcfd078e3,0x85472dcb},{0xcfffd574,0x5658c961},{0xda3ca315,0x89e05a2c},{0xf8186a9f,0x1b51ae1f},{0x6c7822cb,0xca648f8c},{0x47957f4d,0x7233c926},{0x62d37ffa,0x520bf21c},{0x407a2ca7,0x897496c7},}, - {{0xca4eee19,0x8e80cf5b},{0x6bc1afcf,0x75477912},{0x4b379cb0,0x07e88776},{0x12f91d5e,0x7dc7c14e},{0xfb6b0264,0xc8f5dab5},{0x021f9176,0x1c842cf8},{0x2e2db2c0,0x69b56a7e},{0x7fef3445,0xf30253f7},{0x919efb99,0x14bb3a62},{0x24a5d89c,0xff9976d4},{0x0331a202,0x59dde7be},}, - {{0x126330a2,0xdbe04b62},{0x8da1eaec,0x0409b213},{0xb2262691,0x7bd4558e},{0x8d52b05b,0xafa86cfa},{0x97d8c584,0xb83f5701},{0x13990ac1,0xb3ded6cc},{0xb072c9e1,0xfd33937c},{0x41d92952,0xe3b39893},{0xca949ad9,0xd26e76d6},{0x48f88e86,0x35c89a85},{0x940c3b43,0x8af785bd},}, - {{0x01c790da,0xcbf3b867},{0xe29f4005,0x63634f67},{0x82363b81,0x008f9039},{0xd6eb0229,0xc2b07f99},{0xd15e2558,0xa8344b83},{0xd103b7b0,0x880f4e5f},{0xa5929072,0xd40eddb0},{0xee571f49,0x476e27cc},{0xb989f9eb,0xe71439b4},{0xf852b2fe,0x97e55074},{0x37e1a2c5,0xdd258c21},}, - {{0x6d23259b,0x982b9036},{0xaa76b306,0xb2667eac},{0x2020ede1,0xecf233e8},{0x7d4a88c7,0x3cee7ac0},{0xfe5a5854,0x31428be2},{0x55c4c4db,0xf1beea1d},{0x80f1ffd2,0x584fd6b5},{0xc8ba0d0b,0x6e2381c3},{0xbafc0611,0x21ab749c},{0x9aba3001,0x8ed389f3},{0xf2b42f13,0xa24ba694},}, - {{0xb02606f9,0xdb30cd9d},{0x682ba257,0x1b0d6736},{0xf5808443,0x0d3bcdec},{0x1dbd3dbd,0x31c33000},{0x70447946,0x9684d223},{0x426c6935,0xde0e24e6},{0xd081ef69,0xf487270d},{0x48f2b252,0xd943f4ef},{0xd1c52d24,0x4c52a7fd},{0x29ea139d,0xc2930820},{0x3da0468a,0xc2ba73ab},}, - {{0xcc74e0d1,0xd093bd0d},{0xce6a98e5,0xe91428f9},{0x6909dc21,0x673dee71},{0x548219d7,0xf22e3223},{0x881a1300,0x3297978d},{0x8218d77c,0x51157b1e},{0x07843889,0x0e3b0a5c},{0xa36752b6,0x273b48df},{0x23576866,0x5dbf2c63},{0x763df9a7,0x1c032b70},{0x159ecbf4,0x1a8d7ed4},}, - {{0xa6c4f3ad,0x8e40b29f},{0xa91daa9b,0x43bc06db},{0x0dd6d846,0x445df162},{0x68c45c46,0xae1e72ed},{0x93ade46d,0x496ee4e5},{0xdce9118f,0x1d3642ed},{0xbd8fd755,0x71a88114},{0x2514943d,0x4a10d6b2},{0xd4d72fee,0x56dca305},{0x95fa62bf,0xe2e4d9ce},{0x47b50b0a,0xfb6bfffd},}, - {{0x6cc557ee,0x4c6c1494},{0xc7ba3226,0x9b1bcbaa},{0x1fa0dd20,0xdd741036},{0xbaf95b26,0x9c8a098c},{0x93503adf,0x3da4f265},{0xcd3bf859,0xffb07b45},{0xaf54a559,0xaf034373},{0x407146bb,0xd6b9bace},{0x972f4ec6,0x7b92c04c},{0x165b9845,0xfe71df71},{0xdc9ebe51,0xad0134b9},}, - {{0xec88aa7c,0xfdaa64ce},{0xd815525c,0x565342e2},{0x259429a8,0xe382458f},{0xd5d1d1ca,0x0f6ba5af},{0x12439a41,0xcba85de4},{0x049ccb1a,0x212d3c62},{0x950267e3,0x930c0bf5},{0x3fc560d8,0x60f87fe4},{0xd878a33b,0x8f1fbdbc},{0xbf9af16f,0xd28b789a},{0x4fa0eb07,0xd921f043},}, - {{0x635e7c18,0xd69c2c80},{0x772f293f,0x5a3d78c8},{0x2ad1ceb5,0x844fe5e7},{0x910dc916,0x81b217e5},{0xb7c8ba85,0x2951409f},{0x5693e367,0x5c135dd9},{0xf9f7ebd2,0xc2e8a723},{0x5d63f38d,0x10bb79bf},{0x50385a89,0x34625b15},{0x8d791163,0xdc623532},{0xed4d5133,0x1eb12b7a},}, - {{0xa89577d0,0x01426fac},{0x36ac4fd0,0x003ca901},{0xdc45a17f,0x00289223},{0x04320612,0x00099217},{0x3669e451,0x0007efae},{0x06b3349d,0x006499f2},{0x9b5dcfe1,0x1001120d},{0x7db4da94,0x000e3aa4},{0x39d35692,0x0320dc83},{0x6247ecbd,0x4030a0a1},{0x9c160a6b,0x04368a65},}, - {{0x37b408f0,0x00000012},{0xc8f1b79c,0x00000004},{0x46de5309,0x00000004},{0xa3e2d4ac,0x00000032},{0x7600eeb7,0x00000c00},{0x0ee771b0,0x00010004},{0x394d0817,0x00000198},{0x10a981ba,0x00003018},{0x37d86f5a,0x0000030f},{0xb1cc04d4,0x0000030a},{0xe7c0b7e9,0x000000c0},}, - {{0x000234a0,0x00000000},{0x00114630,0x00000000},{0x0800260c,0x00000000},{0x00005288,0x00000001},{0x00900194,0x00000000},{0x200800a3,0x00000000},{0x02011034,0x00000000},{0x0105100e,0x00000000},{0x00604025,0x00000000},{0x00114a03,0x00000000},{0x00061481,0x00000000},}, - {{0x00000400,0x00000000},{0x00010000,0x00000000},{0x00000008,0x00000000},{0x00001000,0x00000000},{0x00000100,0x00000000},{0x00000002,0x00000000},{0x00000020,0x00000000},{0x00000008,0x00000000},{0x00000001,0x00000000},{0x00000002,0x00000000},{0x00000001,0x00000000},}, -}; - -#endif - -} // namespace poseidon - -namespace poseidon2 { - -using namespace poseidon_common; - -// Helps define diagonal elements of M_I for poseidon2: M_I[i, i] = 2^LOG_MU_MINUS_ONE[i] + 1 -__device__ static constexpr unsigned LOG_MU_MINUS_ONE[STATE_WIDTH] = {4, 14, 11, 8, 0, 5, 2, 9, 13, 6, 3, 12}; - -// Poseidon2 math often breaks down into actions on tiles of 4 adjacent state elements. -constexpr unsigned TILE = 4; -constexpr unsigned TILES_PER_STATE = STATE_WIDTH / TILE; - -} // namespace poseidon2 - -// clang-format on diff --git a/crates/boojum-cuda/native/poseidon_cooperative.cu b/crates/boojum-cuda/native/poseidon_cooperative.cu deleted file mode 100644 index b9e4158..0000000 --- a/crates/boojum-cuda/native/poseidon_cooperative.cu +++ /dev/null @@ -1,129 +0,0 @@ -#include "goldilocks.cuh" -#include "memory.cuh" -#include "poseidon_constants.cuh" - -namespace poseidon { - -using namespace goldilocks; - -template static DEVICE_FORCEINLINE void apply_round_constants(field<3> *state, const unsigned round, const unsigned wid) { - constexpr unsigned COUNT = STATE_WIDTH / STRIDE; - const auto rc = ALL_ROUND_CONSTANTS[round] + wid; -#pragma unroll - for (unsigned i = 0; i < COUNT; i++) - state[i] = field<3>::add_limbs(state[i], base_field::into<3>(rc[i * STRIDE])); -} - -template static DEVICE_FORCEINLINE void apply_non_linearity(field<3> *state, const unsigned wid) { - constexpr unsigned COUNT = STATE_WIDTH / STRIDE; -#pragma unroll - for (unsigned i = 0; i < COUNT; i++) { - if (IS_FULL_ROUND || (i == 0 && wid == 0)) { - const base_field f1 = base_field::field3_to_field2(state[i]); - const base_field f2 = base_field::sqr(f1); - const base_field f3 = base_field::mul(f1, f2); - const base_field f4 = base_field::sqr(f2); - state[i] = field<4>::field4_to_field3(base_field::mul_wide(f3, f4)); - } - state[i] = field<3>::field3_to_field2_and_carry(state[i]); - } -} - -template static DEVICE_FORCEINLINE void apply_mds_matrix(field<3> *state, const unsigned wid, const unsigned tid) { - constexpr unsigned COUNT = STATE_WIDTH / STRIDE; - __shared__ limb shared[STATE_WIDTH][3][32]; - __syncthreads(); - auto s = &shared[wid]; -#pragma unroll - for (unsigned i = 0; i < COUNT; i++) { - field<3> value = state[i]; - auto ss = *s; -#pragma unroll - for (unsigned j = 0; j < 3; j++) - ss[j][tid] = value[j]; - s += STRIDE; - } - __syncthreads(); - field<3> values[STATE_WIDTH]; -#pragma unroll - for (unsigned i = 0; i < COUNT; i++) { - values[i * STRIDE] = state[i]; -#pragma unroll - for (unsigned j = 1; j < STRIDE; j++) { - const unsigned index = i * STRIDE + j; - const unsigned shared_index = (index + wid) % STATE_WIDTH; - auto ss = shared[shared_index]; - field<3> value; -#pragma unroll - for (unsigned k = 0; k < 3; k++) - value[k] = ss[k][tid]; - values[index] = value; - } - } - - field<3> result[COUNT]; - -#pragma unroll - for (unsigned row = 0; row < COUNT; row++) { - field<3> acc; -#pragma unroll - for (unsigned i = 0; i < STATE_WIDTH; i++) { - const unsigned index = MDS_MATRIX_EXPS_ORDER[i]; - const unsigned col = (index + row * STRIDE) % STATE_WIDTH; - field<3> value = values[col]; - acc = i ? field<3>::add_limbs(acc, value) : value; - const unsigned shift = MDS_MATRIX_SHIFTS[i]; - if (shift) - acc = field<3>::shl(acc, shift); - } - result[row] = acc; - } -#pragma unroll - for (unsigned i = 0; i < COUNT; i++) - state[i] = result[i]; -} - -template static DEVICE_FORCEINLINE void permutation(field<3> *state, const unsigned wid, const unsigned tid) { -#pragma unroll - for (unsigned round = 0; round < TOTAL_NUM_ROUNDS; round++) { - const bool is_full_round = round < HALF_NUM_FULL_ROUNDS || round >= HALF_NUM_FULL_ROUNDS + NUM_PARTIAL_ROUNDS; - apply_round_constants(state, round, wid); - if (is_full_round) - apply_non_linearity(state, wid); - else - apply_non_linearity(state, wid); - apply_mds_matrix(state, wid, tid); - } -} - -template -static DEVICE_FORCEINLINE void poseidon_cooperative_nodes_kernel_impl(const field<4> *values, base_field *results, const unsigned count) { - static_assert(RATE == 2 * CAPACITY); - static_assert(STATE_WIDTH % STRIDE == 0); - static_assert(CAPACITY % STRIDE == 0); - constexpr unsigned COUNT = STATE_WIDTH / STRIDE; - unsigned tid = threadIdx.x; - unsigned wid = threadIdx.y; - const unsigned gid = tid + blockIdx.x * blockDim.x; - field<3> state[COUNT]; - values += count * wid + gid; -#pragma unroll - for (unsigned i = 0; i < CAPACITY / STRIDE; i++, values += count * STRIDE) { - const auto value = memory::load_cs(values); - auto v2 = reinterpret_cast(&value); -#pragma unroll - for (unsigned j = 0; j < 2; j++) - state[j * CAPACITY / STRIDE + i] = base_field::into<3>(v2[j]); - } - permutation(state, wid, tid); - results += count * wid + gid; -#pragma unroll - for (unsigned i = 0; i < CAPACITY / STRIDE; i++, results += count * STRIDE) - memory::store_cs(results, base_field::field3_to_field2(state[i])); -} - -EXTERN __launch_bounds__(4 * 32, 1) __global__ void poseidon_cooperative_nodes_kernel(const field<4> *values, base_field *results, const unsigned count) { - poseidon_cooperative_nodes_kernel_impl<4>(values, results, count); -} - -} // namespace poseidon diff --git a/crates/boojum-cuda/native/poseidon_single_thread.cu b/crates/boojum-cuda/native/poseidon_single_thread.cu deleted file mode 100644 index 7837074..0000000 --- a/crates/boojum-cuda/native/poseidon_single_thread.cu +++ /dev/null @@ -1,51 +0,0 @@ -#include "goldilocks.cuh" - -#if __CUDA_ARCH__ == 800 -#define USE_SHARED_MEMORY -#endif -#include "poseidon_single_thread.cuh" -#if __CUDA_ARCH__ == 800 -#undef USE_SHARED_MEMORY -#endif - -namespace poseidon { - -using namespace goldilocks; - -static DEVICE_FORCEINLINE void permutation(poseidon_state &state) { -#pragma unroll 1 - for (unsigned round = 0; round < TOTAL_NUM_ROUNDS; round++) { - if (round < HALF_NUM_FULL_ROUNDS || round >= HALF_NUM_FULL_ROUNDS + NUM_PARTIAL_ROUNDS) { - if (round != HALF_NUM_FULL_ROUNDS + NUM_PARTIAL_ROUNDS) - apply_round_constants(state, round); - apply_non_linearity(state); - if (round == HALF_NUM_FULL_ROUNDS - 1) { - apply_fused_round_constants(state); - full_and_partial_round_fused_mul(state); - } else { - apply_mds_matrix(state); - } - } else { - partial_round_optimized(state, round); - } - } -} - -#if __CUDA_ARCH__ == 800 -#define MIN_BLOCKS_COUNT 10 -#else -#define MIN_BLOCKS_COUNT 12 -#endif -EXTERN __launch_bounds__(64, MIN_BLOCKS_COUNT) __global__ - void poseidon_single_thread_leaves_kernel(const base_field *values, base_field *results, const unsigned rows_count, const unsigned cols_count, - const unsigned count, bool load_intermediate, bool store_intermediate) { - single_thread_leaves_impl(values, results, rows_count, cols_count, count, load_intermediate, store_intermediate); -} -#undef MIN_BLOCKS_COUNT - -EXTERN __launch_bounds__(64, 12) __global__ void poseidon_single_thread_nodes_kernel(const field<4> *values, base_field *results, const unsigned count) { - static_assert(RATE == 2 * CAPACITY); - single_thread_nodes_impl(values, results, count); -} - -} // namespace poseidon diff --git a/crates/boojum-cuda/native/poseidon_single_thread.cuh b/crates/boojum-cuda/native/poseidon_single_thread.cuh deleted file mode 100644 index 79f39f8..0000000 --- a/crates/boojum-cuda/native/poseidon_single_thread.cuh +++ /dev/null @@ -1,147 +0,0 @@ -#pragma once - -#include "goldilocks.cuh" - -#define POSEIDON_OPTIMIZED - -#include "poseidon_constants.cuh" - -#undef POSEIDON_OPTIMIZED - -#include "poseidon_utils.cuh" - -namespace poseidon { - -using namespace goldilocks; - -static DEVICE_FORCEINLINE void apply_round_constants(poseidon_state &state, const unsigned round) { - const auto rc = ALL_ROUND_CONSTANTS[round]; -#pragma unroll - for (unsigned i = 0; i < STATE_WIDTH; i++) - state[i] = field<3>::add_limbs(state[i], base_field::into<3>(rc[i])); -} - -static DEVICE_FORCEINLINE void apply_non_linearity(field<3> &state) { - const base_field f1 = base_field::field3_to_field2(state); - const base_field f2 = base_field::sqr(f1); - const base_field f3 = base_field::mul(f1, f2); - const base_field f4 = base_field::sqr(f2); - state = field<4>::field4_to_field3(base_field::mul_wide(f3, f4)); - state = field<3>::field3_to_field2_and_carry(state); -} - -#ifdef USE_SHARED_MEMORY - -#define BLOCK_SIZE 64 - -static DEVICE_FORCEINLINE field<3> load_shared(const limb state_shared[STATE_WIDTH][3][64], const unsigned index, const unsigned tid) { - field<3> result; -#pragma unroll - for (unsigned i = 0; i < 3; i++) - result[i] = state_shared[index][i][tid]; - return result; -} - -static DEVICE_FORCEINLINE void store_shared(const field<3> value, limb state_shared[STATE_WIDTH][3][64], const unsigned index, const unsigned tid) { -#pragma unroll - for (unsigned i = 0; i < 3; i++) - state_shared[index][i][tid] = value[i]; -} - -static DEVICE_FORCEINLINE void apply_non_linearity(poseidon_state &state) { - __shared__ limb state_shared[STATE_WIDTH][3][BLOCK_SIZE]; - const unsigned tid = threadIdx.x; -#pragma unroll - for (unsigned i = 0; i < STATE_WIDTH; i++) { - store_shared(state[i], state_shared, i, tid); - } -#pragma unroll 1 - for (unsigned i = 0; i < STATE_WIDTH; i++) { - field<3> s = load_shared(state_shared, i, tid); - apply_non_linearity(s); - store_shared(s, state_shared, i, tid); - } -#pragma unroll - for (unsigned i = 0; i < STATE_WIDTH; i++) { - state[i] = load_shared(state_shared, i, tid); - } -} - -#undef BLOCK_SIZE - -#else - -static DEVICE_FORCEINLINE void apply_non_linearity(poseidon_state &state) { -#pragma unroll - for (auto &s : state) - apply_non_linearity(s); -} - -#endif - -static DEVICE_FORCEINLINE void apply_mds_matrix(poseidon_state &state) { - poseidon_state result{}; -#pragma unroll - for (unsigned row = 0; row < STATE_WIDTH; row++) { - field<3> acc; -#pragma unroll - for (unsigned i = 0; i < STATE_WIDTH; i++) { - const unsigned index = MDS_MATRIX_EXPS_ORDER[i]; - const unsigned col = (index + row) % STATE_WIDTH; - field<3> value = state[col]; - acc = i ? field<3>::add_limbs(acc, value) : value; - const unsigned shift = MDS_MATRIX_SHIFTS[i]; - if (shift) - acc = field<3>::shl(acc, shift); - } - result[row] = acc; - } -#pragma unroll - for (unsigned row = 0; row < STATE_WIDTH; row++) - state[row] = result[row]; -} - -static DEVICE_FORCEINLINE void apply_fused_round_constants(poseidon_state &state) { -#pragma unroll - for (unsigned i = 0; i < STATE_WIDTH; i++) - state[i] = field<3>::add_limbs(state[i], base_field::into<3>(ROUND_CONSTANTS_FUSED_LAST_FULL_AND_FIRST_PARTIAL[i])); -} - -static DEVICE_FORCEINLINE void full_and_partial_round_fused_mul(poseidon_state &state) { - base_field values[STATE_WIDTH]; -#pragma unroll - for (unsigned i = 0; i < STATE_WIDTH; i++) - values[i] = field<3>::field3_to_field2(state[i]); -#pragma unroll - for (unsigned row = 0; row < STATE_WIDTH; row++) { - const base_field *matrix_row = FUSED_DENSE_MATRIX_LAST_FULL_AND_FIRST_PARTIAL[row]; - field<5> acc{}; -#pragma unroll - for (unsigned col = 0; col < STATE_WIDTH; col++) - acc = field<5>::add_limbs(acc, field<4>::into<5>(base_field::mul_wide(values[col], matrix_row[col]))); - state[row] = field<3>::field3_to_field2_and_carry(field<5>::field5_to_field3(acc)); - } -} - -static DEVICE_FORCEINLINE void partial_round_optimized(poseidon_state &state, const unsigned round) { - const unsigned partial_round = round - HALF_NUM_FULL_ROUNDS; - apply_non_linearity(state[0]); - state[0] = field<3>::add_limbs(state[0], base_field::into<3>(ROUND_CONSTANTS_FOR_FUSED_S_BOXES[partial_round])); - base_field values[STATE_WIDTH]; -#pragma unroll - for (unsigned i = 0; i < STATE_WIDTH; i++) - values[i] = field<3>::field3_to_field2(state[i]); - const auto vs = VS_FOR_PARTIAL_ROUNDS[partial_round]; - field<5> acc = base_field::into<5>(values[0]); -#pragma unroll - for (unsigned i = 0; i < STATE_WIDTH - 1; i++) - acc = field<5>::add_limbs(acc, field<4>::into<5>(base_field::mul_wide(values[i + 1], vs[i]))); - state[0] = field<3>::field3_to_field2_and_carry(field<5>::field5_to_field3(acc)); - const auto w_hats = W_HATS_FOR_PARTIAL_ROUNDS[partial_round]; -#pragma unroll - for (unsigned i = 1; i < STATE_WIDTH; i++) - state[i] = field<3>::add_limbs(field<3>::field3_to_field2_and_carry(field<4>::field4_to_field3(base_field::mul_wide(values[0], w_hats[i - 1]))), - base_field::into<3>(values[i])); -} - -} // namespace poseidon diff --git a/crates/boojum-cuda/native/poseidon_utils.cuh b/crates/boojum-cuda/native/poseidon_utils.cuh deleted file mode 100644 index ce0b899..0000000 --- a/crates/boojum-cuda/native/poseidon_utils.cuh +++ /dev/null @@ -1,84 +0,0 @@ -#pragma once - -namespace poseidon_common { - -typedef field<3> poseidon_state[STATE_WIDTH]; - -template -static DEVICE_FORCEINLINE void single_thread_leaves_impl(const base_field *values, base_field *results, const unsigned rows_count, const unsigned cols_count, - const unsigned count, bool load_intermediate, bool store_intermediate) { - const unsigned gid = threadIdx.x + blockIdx.x * blockDim.x; - if (gid >= count) - return; - poseidon_state state{}; - if (load_intermediate) { - auto intermediate_results = results + gid; -#pragma unroll - for (unsigned i = STATE_WIDTH - CAPACITY; i < STATE_WIDTH; i++, intermediate_results += count) - state[i] = base_field::into<3>(memory::load_cs(intermediate_results)); - } - values += gid * rows_count; - for (unsigned offset = 0; offset < rows_count * cols_count;) { -#pragma unroll - for (unsigned i = 0; i < RATE; i++, offset++) { - const unsigned row = offset % rows_count; - const unsigned col = offset / rows_count; - state[i] = col < cols_count ? base_field::into<3>(memory::load_cs(values + row + col * rows_count * count)) : field<3>{}; - } - permutation(state); - } - results += gid; - if (store_intermediate) { -#pragma unroll - for (unsigned i = STATE_WIDTH - CAPACITY; i < STATE_WIDTH; i++, results += count) - memory::store_cs(results, base_field::field3_to_field2(state[i])); - } else { -#pragma unroll - for (unsigned i = 0; i < CAPACITY; i++, results += count) - memory::store_cs(results, base_field::field3_to_field2(state[i])); - } -} - -template -static DEVICE_FORCEINLINE void single_thread_nodes_impl(const field<4> *values, base_field *results, const unsigned count) { - const unsigned gid = threadIdx.x + blockIdx.x * blockDim.x; - if (gid >= count) - return; - poseidon_state state{}; - values += gid; -#pragma unroll - for (unsigned i = 0; i < CAPACITY; i++, values += count) { - const auto value = memory::load_cs(values); - auto v2 = reinterpret_cast(&value); -#pragma unroll - for (unsigned j = 0; j < 2; j++) - state[j * CAPACITY + i] = base_field::into<3>(v2[j]); - } - permutation(state); - results += gid; -#pragma unroll - for (unsigned i = 0; i < CAPACITY; i++, results += count) - memory::store_cs(results, base_field::field3_to_field2(state[i])); -} - -} // namespace poseidon_common - -namespace poseidon2 { - -// https://eprint.iacr.org/2023/323.pdf Appendix B -static DEVICE_FORCEINLINE void m4_times_tile(field<3> *tile) { - field<3> t0 = field<3>::add_limbs(tile[0], tile[1]); // t0 = x[0] + x[1] - field<3> t1 = field<3>::add_limbs(tile[2], tile[3]); // t1 = x[2] + x[3] - field<3> t2 = field<3>::add_limbs(field<3>::shl(tile[1], 1), t1); // t2 = 2 * x[1] + t1 - field<3> t3 = field<3>::add_limbs(field<3>::shl(tile[3], 1), t0); // t3 = 2 * x[3] + t0 - field<3> t4 = field<3>::add_limbs(field<3>::shl(t1, 2), t3); // t4 = 4 * t1 + t3 - field<3> t5 = field<3>::add_limbs(field<3>::shl(t0, 2), t2); // t5 = 4 * t0 + t2 - field<3> t6 = field<3>::add_limbs(t3, t5); // t6 = t3 + t5 - field<3> t7 = field<3>::add_limbs(t2, t4); // t7 = t2 + t4 - tile[0] = t6; - tile[1] = t5; - tile[2] = t7; - tile[3] = t4; -} - -} // namespace poseidon2 diff --git a/crates/boojum-cuda/native/ptx.cuh b/crates/boojum-cuda/native/ptx.cuh index 3a677eb..c91199d 100644 --- a/crates/boojum-cuda/native/ptx.cuh +++ b/crates/boojum-cuda/native/ptx.cuh @@ -1,7 +1,7 @@ #pragma once #include "common.cuh" -#include +#include namespace ptx { @@ -243,11 +243,11 @@ DEVICE_FORCEINLINE uint64_t madc_hi_cc(const uint64_t x, const uint64_t y, const return result; } -DEVICE_FORCEINLINE std::tuple unpack(const uint64_t x) { +DEVICE_FORCEINLINE cuda::std::tuple unpack(const uint64_t x) { uint32_t lo; uint32_t hi; asm("mov.b64 {%0,%1}, %2;" : "=r"(lo), "=r"(hi) : "l"(x)); - return std::make_tuple(lo, hi); + return cuda::std::make_tuple(lo, hi); } } // namespace u64 diff --git a/crates/boojum-cuda/src/context.rs b/crates/boojum-cuda/src/context.rs index 1b57942..9a30b5c 100644 --- a/crates/boojum-cuda/src/context.rs +++ b/crates/boojum-cuda/src/context.rs @@ -9,7 +9,7 @@ use era_cudart_sys::{cudaMemcpyToSymbol, cuda_struct_and_stub, CudaMemoryCopyKin use std::mem::size_of; use std::os::raw::c_void; -pub const OMEGA_LOG_ORDER: u32 = 24; +pub const OMEGA_LOG_ORDER: u32 = 30; #[repr(C)] struct PowersLayerData { diff --git a/crates/boojum-cuda/src/device_structures.rs b/crates/boojum-cuda/src/device_structures.rs index bf243a1..9466525 100644 --- a/crates/boojum-cuda/src/device_structures.rs +++ b/crates/boojum-cuda/src/device_structures.rs @@ -2,6 +2,7 @@ use crate::extension_field::{ExtensionField, VectorizedExtensionField}; use crate::BaseField; use era_cudart::memory::DeviceAllocation; use era_cudart::slice::{DeviceSlice, DeviceVariable}; +use snark_wrapper::franklin_crypto::bellman::bn256::Fr; pub trait DeviceRepr: Sized { type Type: Sized; @@ -19,6 +20,10 @@ impl DeviceRepr for BaseField { type Type = Self; } +impl DeviceRepr for Fr { + type Type = [u64; 4]; +} + impl DeviceRepr for ExtensionField { type Type = Self; } diff --git a/crates/boojum-cuda/src/extension_field.rs b/crates/boojum-cuda/src/extension_field.rs index 4522def..855fd09 100644 --- a/crates/boojum-cuda/src/extension_field.rs +++ b/crates/boojum-cuda/src/extension_field.rs @@ -174,26 +174,26 @@ mod tests { use itertools::Itertools; use rand::distributions::Uniform; use rand::prelude::*; - use std::{mem, vec}; + use std::vec; #[test] fn extension_field_size() { - assert_eq!(mem::size_of::(), 16); + assert_eq!(size_of::(), 16); } #[test] fn extension_field_align() { - assert_eq!(mem::align_of::(), 8); + assert_eq!(align_of::(), 8); } #[test] fn vectorized_extension_field_size() { - assert_eq!(mem::size_of::(), 16); + assert_eq!(size_of::(), 16); } #[test] fn vectorized_extension_field_align() { - assert_eq!(mem::align_of::(), 8); + assert_eq!(align_of::(), 8); } fn test_conversion() diff --git a/crates/boojum-cuda/src/gates.rs b/crates/boojum-cuda/src/gates.rs index a113f75..fd32d6c 100644 --- a/crates/boojum-cuda/src/gates.rs +++ b/crates/boojum-cuda/src/gates.rs @@ -57,7 +57,7 @@ struct GateData { kernel: GateEvalSignature, } -include!(concat!(env!("OUT_DIR"), "/gates_data.rs")); +include!(concat!(env!("OUT_DIR"), "/generated/gates_data.rs")); pub fn find_gate_id_by_name(name: &str) -> Option { HASH_MAP.get(name).copied() diff --git a/crates/boojum-cuda/src/gates_data.rs b/crates/boojum-cuda/src/gates_data.rs deleted file mode 100644 index 7da8f49..0000000 --- a/crates/boojum-cuda/src/gates_data.rs +++ /dev/null @@ -1,257 +0,0 @@ -use std::collections::HashMap; -use lazy_static::lazy_static; - -lazy_static! { - static ref HASH_MAP: HashMap<&'static str, u32> = [ - ("boolean_constrait_evaluator", 0), - ("conditional_swap_gate_constraint_evaluator_1", 1), - ("conditional_swap_gate_constraint_evaluator_4", 2), - ("constant_allocator_constraint_evaluator", 3), - ("dot_product_constraint_evaluator_4", 4), - ("fma_gate_in_base_without_constant_constraint_evaluator", 5), - ("fma_gate_in_extension_without_constant_constraint_evaluator_goldilocks_field_goldilocks_ext_2", 6), - ("matrix_multiplication_evaluator_goldilocks_field_12_poseidon_2_goldilocks_external_matrix", 7), - ("matrix_multiplication_evaluator_goldilocks_field_12_poseidon_2_goldilocks_inner_matrix", 8), - ("parallel_selection_gate_constraint_evaluator_4", 9), - ("poseidon_2_round_function_flattened_evaluator_goldilocks_field_8_12_4_poseidon_2_goldilocks_1451e131831047e6", 10), - ("poseidon_2_round_function_flattened_evaluator_goldilocks_field_8_12_4_poseidon_2_goldilocks_0ebd1f683a24cfac", 11), - ("quadratic_combination_constraint_evaluator_4", 12), - ("reduction_by_powers_gate_constraint_evaluator_4", 13), - ("reduction_gate_constraint_evaluator_4", 14), - ("selection_gate_constraint_evaluator", 15), - ("simple_nonlinearity_gate_constraint_evaluator_7", 16), - ("u_32_add_constraint_evaluator", 17), - ("u_8_x_4_constraint_evaluator", 18), - ("u_32_sub_constraint_evaluator", 19), - ("u_32_tri_add_carry_as_chunk_constraint_evaluator", 20), - ("u_int_x_add_constraint_evaluator", 21), - ("zero_check_evaluator_68a914128e01e473", 22), - ("zero_check_evaluator_44bc103b1f8540ed", 23), - ] - .iter() - .copied() - .collect(); -} - -gate_eval_kernel!(evaluate_boolean_constrait_evaluator_kernel); -gate_eval_kernel!(evaluate_conditional_swap_gate_constraint_evaluator_1_kernel); -gate_eval_kernel!(evaluate_conditional_swap_gate_constraint_evaluator_4_kernel); -gate_eval_kernel!(evaluate_constant_allocator_constraint_evaluator_kernel); -gate_eval_kernel!(evaluate_dot_product_constraint_evaluator_4_kernel); -gate_eval_kernel!(evaluate_fma_gate_in_base_without_constant_constraint_evaluator_kernel); -gate_eval_kernel!(evaluate_fma_gate_in_extension_without_constant_constraint_evaluator_goldilocks_field_goldilocks_ext_2_kernel); -gate_eval_kernel!(evaluate_matrix_multiplication_evaluator_goldilocks_field_12_poseidon_2_goldilocks_external_matrix_kernel); -gate_eval_kernel!(evaluate_matrix_multiplication_evaluator_goldilocks_field_12_poseidon_2_goldilocks_inner_matrix_kernel); -gate_eval_kernel!(evaluate_parallel_selection_gate_constraint_evaluator_4_kernel); -gate_eval_kernel!(evaluate_poseidon_2_round_function_flattened_evaluator_goldilocks_field_8_12_4_poseidon_2_goldilocks_1451e131831047e6_kernel); -gate_eval_kernel!(evaluate_poseidon_2_round_function_flattened_evaluator_goldilocks_field_8_12_4_poseidon_2_goldilocks_0ebd1f683a24cfac_kernel); -gate_eval_kernel!(evaluate_quadratic_combination_constraint_evaluator_4_kernel); -gate_eval_kernel!(evaluate_reduction_by_powers_gate_constraint_evaluator_4_kernel); -gate_eval_kernel!(evaluate_reduction_gate_constraint_evaluator_4_kernel); -gate_eval_kernel!(evaluate_selection_gate_constraint_evaluator_kernel); -gate_eval_kernel!(evaluate_simple_nonlinearity_gate_constraint_evaluator_7_kernel); -gate_eval_kernel!(evaluate_u_32_add_constraint_evaluator_kernel); -gate_eval_kernel!(evaluate_u_8_x_4_constraint_evaluator_kernel); -gate_eval_kernel!(evaluate_u_32_sub_constraint_evaluator_kernel); -gate_eval_kernel!(evaluate_u_32_tri_add_carry_as_chunk_constraint_evaluator_kernel); -gate_eval_kernel!(evaluate_u_int_x_add_constraint_evaluator_kernel); -gate_eval_kernel!(evaluate_zero_check_evaluator_68a914128e01e473_kernel); -gate_eval_kernel!(evaluate_zero_check_evaluator_44bc103b1f8540ed_kernel); - -fn get_gate_data(id: u32) -> GateData { - match id { - 0 => GateData { - name: "boolean_constrait_evaluator", - contributions_count: 1, - max_variable_index: Some(0), - max_witness_index: None, - max_constant_index: None, - kernel: evaluate_boolean_constrait_evaluator_kernel, - }, - 1 => GateData { - name: "conditional_swap_gate_constraint_evaluator_1", - contributions_count: 2, - max_variable_index: Some(4), - max_witness_index: None, - max_constant_index: None, - kernel: evaluate_conditional_swap_gate_constraint_evaluator_1_kernel, - }, - 2 => GateData { - name: "conditional_swap_gate_constraint_evaluator_4", - contributions_count: 8, - max_variable_index: Some(16), - max_witness_index: None, - max_constant_index: None, - kernel: evaluate_conditional_swap_gate_constraint_evaluator_4_kernel, - }, - 3 => GateData { - name: "constant_allocator_constraint_evaluator", - contributions_count: 1, - max_variable_index: Some(0), - max_witness_index: None, - max_constant_index: Some(0), - kernel: evaluate_constant_allocator_constraint_evaluator_kernel, - }, - 4 => GateData { - name: "dot_product_constraint_evaluator_4", - contributions_count: 1, - max_variable_index: Some(8), - max_witness_index: None, - max_constant_index: None, - kernel: evaluate_dot_product_constraint_evaluator_4_kernel, - }, - 5 => GateData { - name: "fma_gate_in_base_without_constant_constraint_evaluator", - contributions_count: 1, - max_variable_index: Some(3), - max_witness_index: None, - max_constant_index: Some(1), - kernel: evaluate_fma_gate_in_base_without_constant_constraint_evaluator_kernel, - }, - 6 => GateData { - name: "fma_gate_in_extension_without_constant_constraint_evaluator_goldilocks_field_goldilocks_ext_2", - contributions_count: 2, - max_variable_index: Some(7), - max_witness_index: None, - max_constant_index: Some(3), - kernel: evaluate_fma_gate_in_extension_without_constant_constraint_evaluator_goldilocks_field_goldilocks_ext_2_kernel, - }, - 7 => GateData { - name: "matrix_multiplication_evaluator_goldilocks_field_12_poseidon_2_goldilocks_external_matrix", - contributions_count: 12, - max_variable_index: Some(23), - max_witness_index: None, - max_constant_index: None, - kernel: evaluate_matrix_multiplication_evaluator_goldilocks_field_12_poseidon_2_goldilocks_external_matrix_kernel, - }, - 8 => GateData { - name: "matrix_multiplication_evaluator_goldilocks_field_12_poseidon_2_goldilocks_inner_matrix", - contributions_count: 12, - max_variable_index: Some(23), - max_witness_index: None, - max_constant_index: None, - kernel: evaluate_matrix_multiplication_evaluator_goldilocks_field_12_poseidon_2_goldilocks_inner_matrix_kernel, - }, - 9 => GateData { - name: "parallel_selection_gate_constraint_evaluator_4", - contributions_count: 4, - max_variable_index: Some(12), - max_witness_index: None, - max_constant_index: None, - kernel: evaluate_parallel_selection_gate_constraint_evaluator_4_kernel, - }, - 10 => GateData { - name: "poseidon_2_round_function_flattened_evaluator_goldilocks_field_8_12_4_poseidon_2_goldilocks_1451e131831047e6", - contributions_count: 118, - max_variable_index: Some(129), - max_witness_index: None, - max_constant_index: None, - kernel: evaluate_poseidon_2_round_function_flattened_evaluator_goldilocks_field_8_12_4_poseidon_2_goldilocks_1451e131831047e6_kernel, - }, - 11 => GateData { - name: "poseidon_2_round_function_flattened_evaluator_goldilocks_field_8_12_4_poseidon_2_goldilocks_0ebd1f683a24cfac", - contributions_count: 118, - max_variable_index: Some(99), - max_witness_index: Some(29), - max_constant_index: None, - kernel: evaluate_poseidon_2_round_function_flattened_evaluator_goldilocks_field_8_12_4_poseidon_2_goldilocks_0ebd1f683a24cfac_kernel, - }, - 12 => GateData { - name: "quadratic_combination_constraint_evaluator_4", - contributions_count: 1, - max_variable_index: Some(7), - max_witness_index: None, - max_constant_index: None, - kernel: evaluate_quadratic_combination_constraint_evaluator_4_kernel, - }, - 13 => GateData { - name: "reduction_by_powers_gate_constraint_evaluator_4", - contributions_count: 1, - max_variable_index: Some(4), - max_witness_index: None, - max_constant_index: Some(0), - kernel: evaluate_reduction_by_powers_gate_constraint_evaluator_4_kernel, - }, - 14 => GateData { - name: "reduction_gate_constraint_evaluator_4", - contributions_count: 1, - max_variable_index: Some(4), - max_witness_index: None, - max_constant_index: Some(3), - kernel: evaluate_reduction_gate_constraint_evaluator_4_kernel, - }, - 15 => GateData { - name: "selection_gate_constraint_evaluator", - contributions_count: 1, - max_variable_index: Some(3), - max_witness_index: None, - max_constant_index: None, - kernel: evaluate_selection_gate_constraint_evaluator_kernel, - }, - 16 => GateData { - name: "simple_nonlinearity_gate_constraint_evaluator_7", - contributions_count: 1, - max_variable_index: Some(1), - max_witness_index: None, - max_constant_index: Some(0), - kernel: evaluate_simple_nonlinearity_gate_constraint_evaluator_7_kernel, - }, - 17 => GateData { - name: "u_32_add_constraint_evaluator", - contributions_count: 2, - max_variable_index: Some(4), - max_witness_index: None, - max_constant_index: None, - kernel: evaluate_u_32_add_constraint_evaluator_kernel, - }, - 18 => GateData { - name: "u_8_x_4_constraint_evaluator", - contributions_count: 2, - max_variable_index: Some(25), - max_witness_index: None, - max_constant_index: None, - kernel: evaluate_u_8_x_4_constraint_evaluator_kernel, - }, - 19 => GateData { - name: "u_32_sub_constraint_evaluator", - contributions_count: 2, - max_variable_index: Some(4), - max_witness_index: None, - max_constant_index: None, - kernel: evaluate_u_32_sub_constraint_evaluator_kernel, - }, - 20 => GateData { - name: "u_32_tri_add_carry_as_chunk_constraint_evaluator", - contributions_count: 1, - max_variable_index: Some(16), - max_witness_index: None, - max_constant_index: None, - kernel: evaluate_u_32_tri_add_carry_as_chunk_constraint_evaluator_kernel, - }, - 21 => GateData { - name: "u_int_x_add_constraint_evaluator", - contributions_count: 2, - max_variable_index: Some(4), - max_witness_index: None, - max_constant_index: Some(0), - kernel: evaluate_u_int_x_add_constraint_evaluator_kernel, - }, - 22 => GateData { - name: "zero_check_evaluator_68a914128e01e473", - contributions_count: 2, - max_variable_index: Some(2), - max_witness_index: None, - max_constant_index: None, - kernel: evaluate_zero_check_evaluator_68a914128e01e473_kernel, - }, - 23 => GateData { - name: "zero_check_evaluator_44bc103b1f8540ed", - contributions_count: 2, - max_variable_index: Some(1), - max_witness_index: Some(0), - max_constant_index: None, - kernel: evaluate_zero_check_evaluator_44bc103b1f8540ed_kernel, - }, - _ => panic!("unknown gate id {id}"), - } -} diff --git a/crates/boojum-cuda/src/gates_data_template.rs b/crates/boojum-cuda/src/gates_data.rs.template similarity index 100% rename from crates/boojum-cuda/src/gates_data_template.rs rename to crates/boojum-cuda/src/gates_data.rs.template index 2c91536..acad614 100644 --- a/crates/boojum-cuda/src/gates_data_template.rs +++ b/crates/boojum-cuda/src/gates_data.rs.template @@ -1,5 +1,5 @@ -use std::collections::HashMap; use lazy_static::lazy_static; +use std::collections::HashMap; lazy_static! { static ref HASH_MAP: HashMap<&'static str, u32> = [ diff --git a/crates/boojum-cuda/src/lib.rs b/crates/boojum-cuda/src/lib.rs index 2dbb5ec..cb5af91 100644 --- a/crates/boojum-cuda/src/lib.rs +++ b/crates/boojum-cuda/src/lib.rs @@ -16,7 +16,7 @@ pub mod ntt; pub mod ops_complex; pub mod ops_cub; pub mod ops_simple; -pub mod poseidon; +pub mod poseidon2; mod utils; pub type BaseField = boojum::field::goldilocks::GoldilocksField; diff --git a/crates/boojum-cuda/src/ops_complex.rs b/crates/boojum-cuda/src/ops_complex.rs index 4645d7a..972542d 100644 --- a/crates/boojum-cuda/src/ops_complex.rs +++ b/crates/boojum-cuda/src/ops_complex.rs @@ -1,6 +1,7 @@ use crate::device_structures::{ DeviceMatrixChunkImpl, DeviceMatrixChunkMutImpl, DeviceMatrixImpl, DeviceMatrixMutImpl, - DeviceRepr, DeviceVectorImpl, DeviceVectorMutImpl, MutPtrAndStride, PtrAndStride, + DeviceRepr, DeviceVectorChunkImpl, DeviceVectorChunkMutImpl, DeviceVectorImpl, + DeviceVectorMutImpl, MutPtrAndStride, PtrAndStride, }; use crate::extension_field::{ExtensionField, VectorizedExtensionField}; use crate::ops_cub::device_radix_sort::{get_sort_pairs_temp_storage_bytes, sort_pairs}; @@ -17,6 +18,7 @@ use era_cudart::stream::CudaStream; use era_cudart::{ cuda_kernel, cuda_kernel_declaration, cuda_kernel_signature_arguments_and_function, }; +use std::fmt::Debug; use std::mem; type BF = BaseField; @@ -675,6 +677,7 @@ cuda_kernel!( fold_kernel( coset_inverse: BF, challenge: *const ::Type, + root_offset: u32, src: PtrAndStride<::Type>, dst: MutPtrAndStride<::Type>, count: u32, @@ -684,25 +687,28 @@ cuda_kernel!( pub fn fold( coset_inverse: BF, challenge: &DeviceVariable, + root_offset: usize, src: &S, dst: &mut D, stream: &CudaStream, ) -> CudaResult<()> where - S: DeviceVectorImpl + ?Sized, - D: DeviceVectorMutImpl + ?Sized, + S: DeviceVectorChunkImpl + Debug + ?Sized, + D: DeviceVectorChunkMutImpl + Debug + ?Sized, { - assert!(src.slice().len().is_power_of_two()); - assert!(dst.slice().len().is_power_of_two()); - let log_count = dst.slice().len().ilog2(); - assert_eq!(src.slice().len().ilog2(), log_count + 1); + assert!(root_offset < 1 << 32); + let root_offset = root_offset as u32; + assert!(src.rows().is_power_of_two()); + assert!(dst.rows().is_power_of_two()); + let log_count = dst.rows().trailing_zeros(); + assert_eq!(src.rows().trailing_zeros(), log_count + 1); assert!(log_count < 32); let (grid_dim, block_dim) = get_launch_dims(1 << log_count); let challenge = challenge.as_ptr() as *const ::Type; let src = src.as_ptr_and_stride(); let dst = dst.as_mut_ptr_and_stride(); let config = CudaLaunchConfig::basic(grid_dim, block_dim, stream); - let args = FoldArguments::new(coset_inverse, challenge, src, dst, log_count); + let args = FoldArguments::new(coset_inverse, challenge, root_offset, src, dst, log_count); FoldFunction::default().launch(&config, &args) } @@ -1331,7 +1337,9 @@ pub fn deep_quotient_public_input( mod tests { use super::*; use crate::context::{Context, OMEGA_LOG_ORDER}; - use crate::device_structures::{DeviceMatrix, DeviceMatrixMut}; + use crate::device_structures::{ + DeviceMatrix, DeviceMatrixMut, DeviceVectorChunk, DeviceVectorChunkMut, + }; use crate::extension_field::test_helpers::{transmute_gf_vec, ExtensionFieldTest}; use crate::extension_field::{convert, ExtensionField}; use crate::ops_cub::device_run_length_encode::{encode, get_encode_temp_storage_bytes}; @@ -2009,16 +2017,22 @@ mod tests { let mut d_challenge = DeviceAllocation::alloc(1).unwrap(); let mut d_src_ef = DeviceAllocation::alloc(N * 2).unwrap(); let mut d_src_vf = DeviceAllocation::alloc(N * 2).unwrap(); - let mut d_dst_vf = DeviceAllocation::alloc(N).unwrap(); + let mut d_dst_vf = DeviceAllocation::::alloc(N).unwrap(); let mut d_dst_ef = DeviceAllocation::alloc(N).unwrap(); memory_copy_async(&mut d_challenge, &[h_challenge], &stream).unwrap(); memory_copy_async(&mut d_src_ef, &h_src, &stream).unwrap(); convert(&d_src_ef, &mut d_src_vf, &stream).unwrap(); + let src = DeviceVectorChunk::new(&d_src_vf, 0, N); + let mut dst = DeviceVectorChunkMut::new(&mut d_dst_vf, 0, N / 2); + super::fold(coset_inverse, &d_challenge[0], 0, &src, &mut dst, &stream).unwrap(); + let src = DeviceVectorChunk::new(&d_src_vf, N, N); + let mut dst = DeviceVectorChunkMut::new(&mut d_dst_vf, N / 2, N / 2); super::fold( coset_inverse, &d_challenge[0], - &d_src_vf, - &mut d_dst_vf, + N / 2, + &src, + &mut dst, &stream, ) .unwrap(); diff --git a/crates/boojum-cuda/src/ops_cub/device_run_length_encode.rs b/crates/boojum-cuda/src/ops_cub/device_run_length_encode.rs index ecac1d5..c571727 100644 --- a/crates/boojum-cuda/src/ops_cub/device_run_length_encode.rs +++ b/crates/boojum-cuda/src/ops_cub/device_run_length_encode.rs @@ -211,7 +211,6 @@ mod tests { let mut run_index = 0usize; let mut current_value = h_in[0]; let mut current_count = 0; - dbg!(&h_in); for x in h_in { if x == current_value { current_count += 1; diff --git a/crates/boojum-cuda/src/poseidon.rs b/crates/boojum-cuda/src/poseidon.rs deleted file mode 100644 index 27a8f86..0000000 --- a/crates/boojum-cuda/src/poseidon.rs +++ /dev/null @@ -1,918 +0,0 @@ -use crate::device_structures::{ - DeviceMatrixChunkImpl, DeviceMatrixChunkMutImpl, DeviceRepr, MutPtrAndStride, PtrAndStride, -}; -use crate::utils::{get_grid_block_dims_for_threads_count, WARP_SIZE}; -use crate::BaseField; -use boojum::field::goldilocks::GoldilocksField; -use boojum::implementations::poseidon_goldilocks_params::*; -use era_cudart::cuda_kernel; -use era_cudart::execution::{CudaLaunchConfig, Dim3, KernelFunction}; -use era_cudart::result::CudaResult; -use era_cudart::slice::DeviceSlice; -use era_cudart::stream::CudaStream; - -type BF = BaseField; - -cuda_kernel!( - Leaves, - leaves_kernel, - values: *const BF, - results: *mut BF, - rows_count: u32, - cols_count: u32, - count: u32, - load_intermediate: bool, - store_intermediate: bool, -); - -leaves_kernel!(poseidon_single_thread_leaves_kernel); -leaves_kernel!(poseidon2_single_thread_leaves_kernel); -leaves_kernel!(poseidon2_cooperative_leaves_kernel); - -cuda_kernel!( - Nodes, - nodes_kernel, - values: *const BF, - results: *mut BF, - count: u32, -); - -nodes_kernel!(poseidon_single_thread_nodes_kernel); -nodes_kernel!(poseidon_cooperative_nodes_kernel); -nodes_kernel!(poseidon2_single_thread_nodes_kernel); -nodes_kernel!(poseidon2_cooperative_nodes_kernel); - -cuda_kernel!( - GatherRows, - gather_rows_kernel( - indexes: *const u32, - indexes_count: u32, - values: PtrAndStride<::Type>, - results: MutPtrAndStride<::Type>, - ) -); - -cuda_kernel!( - GatherMerklePaths, - gather_merkle_paths_kernel( - indexes: *const u32, - indexes_count: u32, - values: *const BF, - log_leaves_count: u32, - results: *mut BF, - ) -); - -pub struct Poseidon {} - -pub struct Poseidon2 {} - -pub trait PoseidonImpl { - const NODES_PREFER_SINGLE_THREAD_THRESHOLD: u32 = 14; - - fn get_grid_block_leaves_single_thread(count: u32) -> (Dim3, Dim3) { - get_grid_block_dims_for_threads_count(WARP_SIZE * 2, count) - } - fn get_grid_block_nodes_single_thread(count: u32) -> (Dim3, Dim3) { - get_grid_block_dims_for_threads_count(WARP_SIZE * 2, count) - } - fn unique_asserts(); - fn get_grid_block_leaves_cooperative(count: u32) -> (Dim3, Dim3); - fn get_grid_block_nodes_cooperative(count: u32) -> (Dim3, Dim3); - const LEAVES_SINGLE_THREAD_FUNCTION: LeavesSignature; - const LEAVES_COOPERATIVE_FUNCTION: LeavesSignature; - const NODES_SINGLE_THREAD_FUNCTION: NodesSignature; - const NODES_COOPERATIVE_FUNCTION: NodesSignature; -} - -impl PoseidonImpl for Poseidon { - fn unique_asserts() {} - #[allow(unused_variables)] - fn get_grid_block_leaves_cooperative(count: u32) -> (Dim3, Dim3) { - unimplemented!("leaves_cooperative not implemented for Poseidon"); - } - fn get_grid_block_nodes_cooperative(count: u32) -> (Dim3, Dim3) { - let (grid_dim, mut block_dim) = get_grid_block_dims_for_threads_count(WARP_SIZE, count); - block_dim.y = 4; - (grid_dim, block_dim) - } - const LEAVES_SINGLE_THREAD_FUNCTION: LeavesSignature = poseidon_single_thread_leaves_kernel; - const LEAVES_COOPERATIVE_FUNCTION: LeavesSignature = unimplemented!(); - const NODES_SINGLE_THREAD_FUNCTION: NodesSignature = poseidon_single_thread_nodes_kernel; - const NODES_COOPERATIVE_FUNCTION: NodesSignature = poseidon_cooperative_nodes_kernel; -} - -impl PoseidonImpl for Poseidon2 { - fn unique_asserts() { - // These sizes are what we need for now. - // I can generalize the kernels if that changes. - assert_eq!(RATE, 8); - assert_eq!(CAPACITY, 4); - } - fn get_grid_block_leaves_cooperative(count: u32) -> (Dim3, Dim3) { - let (grid_dim, mut block_dim) = get_grid_block_dims_for_threads_count(WARP_SIZE, count); - block_dim.y = 3; - (grid_dim, block_dim) - } - fn get_grid_block_nodes_cooperative(count: u32) -> (Dim3, Dim3) { - let (grid_dim, mut block_dim) = get_grid_block_dims_for_threads_count(WARP_SIZE, count); - block_dim.y = 3; - (grid_dim, block_dim) - } - const LEAVES_SINGLE_THREAD_FUNCTION: LeavesSignature = poseidon2_single_thread_leaves_kernel; - const LEAVES_COOPERATIVE_FUNCTION: LeavesSignature = poseidon2_cooperative_leaves_kernel; - const NODES_SINGLE_THREAD_FUNCTION: NodesSignature = poseidon2_single_thread_nodes_kernel; - const NODES_COOPERATIVE_FUNCTION: NodesSignature = poseidon2_cooperative_nodes_kernel; -} - -#[allow(clippy::too_many_arguments)] -pub fn launch_leaves_kernel( - kernel_function: LeavesSignature, - get_grid_block_fn: fn(u32) -> (Dim3, Dim3), - values: &DeviceSlice, - results: &mut DeviceSlice, - log_rows_per_hash: u32, - load_intermediate: bool, - store_intermediate: bool, - stream: &CudaStream, -) -> CudaResult<()> { - P::unique_asserts(); - let values_len = values.len(); - let results_len = results.len(); - assert_eq!(results_len % CAPACITY, 0); - let count = results_len / CAPACITY; - assert_eq!(values_len % (count << log_rows_per_hash), 0); - let values = values.as_ptr(); - let results = results.as_mut_ptr(); - let rows_count = 1u32 << log_rows_per_hash; - let cols_count = values_len / (count << log_rows_per_hash); - assert!(cols_count <= u32::MAX as usize); - let cols_count = cols_count as u32; - assert!(count <= u32::MAX as usize); - // If this launch computes an intermediate result for a partial set of columns, - // the kernels assume we'll complete a permutation for a full state before writing - // the result for the current columns. This imposes a restriction on the number - // of columns we may include in the partial set. - assert!(!store_intermediate || ((rows_count * cols_count) % RATE as u32 == 0)); - let count = count as u32; - let (grid_dim, block_dim) = get_grid_block_fn(count); - let config = CudaLaunchConfig::basic(grid_dim, block_dim, stream); - let args = LeavesArguments::new( - values, - results, - rows_count, - cols_count, - count, - load_intermediate, - store_intermediate, - ); - LeavesFunction(kernel_function).launch(&config, &args) -} - -pub fn launch_single_thread_leaves_kernel( - values: &DeviceSlice, - results: &mut DeviceSlice, - log_rows_per_hash: u32, - load_intermediate: bool, - store_intermediate: bool, - stream: &CudaStream, -) -> CudaResult<()> { - let kernel_function = P::LEAVES_SINGLE_THREAD_FUNCTION; - let get_grid_block_fn = P::get_grid_block_leaves_single_thread; - launch_leaves_kernel::

( - kernel_function, - get_grid_block_fn, - values, - results, - log_rows_per_hash, - load_intermediate, - store_intermediate, - stream, - ) -} - -pub fn launch_cooperative_leaves_kernel( - values: &DeviceSlice, - results: &mut DeviceSlice, - log_rows_per_hash: u32, - load_intermediate: bool, - store_intermediate: bool, - stream: &CudaStream, -) -> CudaResult<()> { - let kernel_function = P::LEAVES_COOPERATIVE_FUNCTION; - let get_grid_block_fn = P::get_grid_block_leaves_cooperative; - launch_leaves_kernel::

( - kernel_function, - get_grid_block_fn, - values, - results, - log_rows_per_hash, - load_intermediate, - store_intermediate, - stream, - ) -} - -const NODE_REDUCTION_FACTOR: usize = 2; - -pub fn launch_single_thread_nodes_kernel( - values: &DeviceSlice, - results: &mut DeviceSlice, - stream: &CudaStream, -) -> CudaResult<()> { - P::unique_asserts(); - assert_eq!(RATE, CAPACITY * NODE_REDUCTION_FACTOR); - let values_len = values.len(); - let results_len = results.len(); - assert_eq!(values_len % RATE, 0); - assert_eq!(results_len % CAPACITY, 0); - assert_eq!(values_len, results_len * NODE_REDUCTION_FACTOR); - let values = values.as_ptr(); - let results = results.as_mut_ptr(); - assert!(results_len / CAPACITY <= u32::MAX as usize); - let count = (results_len / CAPACITY) as u32; - let (grid_dim, block_dim) = P::get_grid_block_nodes_single_thread(count); - let config = CudaLaunchConfig::basic(grid_dim, block_dim, stream); - let args = NodesArguments::new(values, results, count); - NodesFunction(P::NODES_SINGLE_THREAD_FUNCTION).launch(&config, &args) -} - -pub fn launch_cooperative_nodes_kernel( - values: &DeviceSlice, - results: &mut DeviceSlice, - stream: &CudaStream, -) -> CudaResult<()> { - P::unique_asserts(); - assert_eq!(RATE, CAPACITY * NODE_REDUCTION_FACTOR); - let values_len = values.len(); - let results_len = results.len(); - assert_eq!(values_len % RATE, 0); - assert_eq!(results_len % CAPACITY, 0); - assert_eq!(values_len, results_len * NODE_REDUCTION_FACTOR); - let values = values.as_ptr(); - let results = results.as_mut_ptr(); - assert!(results_len / CAPACITY <= u32::MAX as usize); - let count = (results_len / CAPACITY) as u32; - let (grid_dim, block_dim) = P::get_grid_block_nodes_cooperative(count); - let config = CudaLaunchConfig::basic(grid_dim, block_dim, stream); - let args = NodesArguments::new(values, results, count); - NodesFunction(P::NODES_COOPERATIVE_FUNCTION).launch(&config, &args) -} - -pub fn build_merkle_tree_nodes( - values: &DeviceSlice, - results: &mut DeviceSlice, - layers_count: u32, - stream: &CudaStream, -) -> CudaResult<()> { - if layers_count == 0 { - Ok(()) - } else { - assert_eq!(NODE_REDUCTION_FACTOR, 2); - let values_len = values.len(); - let results_len = results.len(); - assert_eq!(values_len % RATE, 0); - let layer = (values_len / RATE).trailing_zeros(); - assert_eq!(values_len, RATE << layer); - assert_eq!(values_len, results_len); - let (nodes, nodes_remaining) = results.split_at_mut(results_len >> 1); - if layer > P::NODES_PREFER_SINGLE_THREAD_THRESHOLD { - launch_single_thread_nodes_kernel::

(values, nodes, stream)?; - } else { - launch_cooperative_nodes_kernel::

(values, nodes, stream)?; - } - build_merkle_tree_nodes::

(nodes, nodes_remaining, layers_count - 1, stream) - } -} - -pub fn build_merkle_tree_leaves( - values: &DeviceSlice, - results: &mut DeviceSlice, - log_rows_per_hash: u32, - load_intermediate: bool, - store_intermediate: bool, - stream: &CudaStream, -) -> CudaResult<()> { - let values_len = values.len(); - let results_len = results.len(); - assert_eq!(results_len % CAPACITY, 0); - let leaves_count = results_len / CAPACITY; - assert_eq!(values_len % leaves_count, 0); - launch_single_thread_leaves_kernel::

( - values, - results, - log_rows_per_hash, - load_intermediate, - store_intermediate, - stream, - ) -} - -pub fn build_merkle_tree( - values: &DeviceSlice, - results: &mut DeviceSlice, - log_rows_per_hash: u32, - stream: &CudaStream, - layers_count: u32, -) -> CudaResult<()> { - assert_ne!(layers_count, 0); - let values_len = values.len(); - let results_len = results.len(); - assert_eq!(results_len % (2 * CAPACITY), 0); - let leaves_count = results_len / (2 * CAPACITY); - assert!(1 << (layers_count - 1) <= leaves_count); - assert_eq!(values_len % leaves_count, 0); - let (nodes, nodes_remaining) = results.split_at_mut(results.len() >> 1); - build_merkle_tree_leaves::

(values, nodes, log_rows_per_hash, false, false, stream)?; - build_merkle_tree_nodes::

(nodes, nodes_remaining, layers_count - 1, stream) -} - -pub fn gather_rows( - indexes: &DeviceSlice, - log_rows_per_index: u32, - values: &(impl DeviceMatrixChunkImpl + ?Sized), - result: &mut (impl DeviceMatrixChunkMutImpl + ?Sized), - stream: &CudaStream, -) -> CudaResult<()> { - let indexes_len = indexes.len(); - let values_cols = values.cols(); - let result_rows = result.rows(); - let result_cols = result.cols(); - let rows_per_index = 1 << log_rows_per_index; - assert!(log_rows_per_index < WARP_SIZE); - assert_eq!(result_cols, values_cols); - assert_eq!(result_rows, indexes_len << log_rows_per_index); - assert!(indexes_len <= u32::MAX as usize); - let indexes_count = indexes_len as u32; - let (mut grid_dim, block_dim) = - get_grid_block_dims_for_threads_count(WARP_SIZE >> log_rows_per_index, indexes_count); - let block_dim = (rows_per_index, block_dim.x); - assert!(result_cols <= u32::MAX as usize); - grid_dim.y = result_cols as u32; - let indexes = indexes.as_ptr(); - let values = values.as_ptr_and_stride(); - let result = result.as_mut_ptr_and_stride(); - let config = CudaLaunchConfig::basic(grid_dim, block_dim, stream); - let args = GatherRowsArguments::new(indexes, indexes_count, values, result); - GatherRowsFunction::default().launch(&config, &args) -} - -pub fn gather_merkle_paths( - indexes: &DeviceSlice, - values: &DeviceSlice, - results: &mut DeviceSlice, - layers_count: u32, - stream: &CudaStream, -) -> CudaResult<()> { - assert!(indexes.len() <= u32::MAX as usize); - let indexes_count = indexes.len() as u32; - assert_eq!(values.len() % CAPACITY, 0); - let values_count = values.len() / CAPACITY; - assert!(values_count.is_power_of_two()); - let log_values_count = values_count.trailing_zeros(); - assert_ne!(log_values_count, 0); - let log_leaves_count = log_values_count - 1; - assert!(layers_count < log_leaves_count); - assert_eq!( - indexes.len() * layers_count as usize * CAPACITY, - results.len() - ); - let (grid_dim, block_dim) = get_grid_block_dims_for_threads_count(WARP_SIZE, indexes_count); - let grid_dim = (grid_dim.x, CAPACITY as u32, layers_count); - let indexes = indexes.as_ptr(); - let values = values.as_ptr(); - let result = results.as_mut_ptr(); - let config = CudaLaunchConfig::basic(grid_dim, block_dim, stream); - let args = - GatherMerklePathsArguments::new(indexes, indexes_count, values, log_leaves_count, result); - GatherMerklePathsFunction::default().launch(&config, &args) -} - -#[cfg(test)] -mod tests { - use std::cmp; - - use boojum::field::{Field, U64Representable}; - use boojum::implementations::poseidon2::state_generic_impl::State; - use itertools::Itertools; - use rand::Rng; - - use era_cudart::memory::{memory_copy_async, DeviceAllocation}; - use era_cudart::slice::CudaSlice; - - // use boojum::implementations::poseidon_goldilocks::poseidon_permutation_optimized; - use crate::device_structures::{DeviceMatrix, DeviceMatrixMut}; - use crate::ops_simple::set_to_zero; - - use super::*; - - pub trait PoseidonTestable: PoseidonImpl { - fn poseidon_permutation_cpu_shim(state: &mut [GoldilocksField; STATE_WIDTH]); - } - - // // Maybe we should ask for poseidon2 in boojum to add a functional API similar to - // // poseidon_permutation_optimized, in which case we won't need these shims - // impl PoseidonTestable for Poseidon { - // fn poseidon_permutation_cpu_shim(state: &mut [GoldilocksField; STATE_WIDTH]) { - // poseidon_permutation_optimized(state); - // } - // } - - impl PoseidonTestable for Poseidon2 { - fn poseidon_permutation_cpu_shim(state: &mut [GoldilocksField; STATE_WIDTH]) { - let mut state_vec = State::from_field_array(*state); - state_vec.poseidon2_permutation(); - state.copy_from_slice(&state_vec.0); - } - } - - fn verify_hash( - state: &[GoldilocksField], - results: &[GoldilocksField], - offset: usize, - stride: usize, - ) { - for i in 0..CAPACITY { - let left = state[i]; - let right = results[i * stride + offset]; - assert_eq!(left.as_u64(), right.as_u64()); - } - } - - fn verify_leaves( - values: &[GoldilocksField], - results: &[GoldilocksField], - log_rows_per_hash: u32, - ) { - let results_len = results.len(); - assert_eq!(results_len % CAPACITY, 0); - let count = results_len / CAPACITY; - let values_len = values.len(); - assert_eq!(values_len % (count << log_rows_per_hash), 0); - let cols_count = values_len / (count << log_rows_per_hash); - let rows_count = 1 << log_rows_per_hash; - let values_per_hash = cols_count << log_rows_per_hash; - for i in 0..count { - let mut state = [GoldilocksField::ZERO; STATE_WIDTH]; - for j in 0..((values_per_hash + RATE - 1) / RATE) { - for (k, s) in state.iter_mut().enumerate().take(RATE) { - let idx = j * RATE + k; - *s = if idx < values_per_hash { - let row = idx % rows_count; - let col = idx / rows_count; - values[(i << log_rows_per_hash) + row + col * rows_count * count] - } else { - GoldilocksField::ZERO - }; - } - // Inefficient for poseidon2, but convenient - P::poseidon_permutation_cpu_shim(&mut state); - } - verify_hash(&state, results, i, count); - } - } - - fn verify_nodes(values: &[GoldilocksField], results: &[GoldilocksField]) { - let values_len = values.len(); - assert_eq!(values_len % (CAPACITY * NODE_REDUCTION_FACTOR), 0); - let count = values_len / (CAPACITY * NODE_REDUCTION_FACTOR); - assert_eq!(results.len(), count * CAPACITY); - for i in 0..count { - let mut state = [GoldilocksField::ZERO; STATE_WIDTH]; - for j in 0..NODE_REDUCTION_FACTOR { - for k in 0..CAPACITY { - let state_offset = j * CAPACITY + k; - let value_offset = (k * count + i) * 2 + j; - state[state_offset] = values[value_offset]; - } - } - P::poseidon_permutation_cpu_shim(&mut state); - verify_hash(&state, results, i, count); - } - } - - #[allow(clippy::type_complexity)] - fn test_leaves( - launch: fn( - &DeviceSlice, - &mut DeviceSlice, - u32, - bool, - bool, - &CudaStream, - ) -> CudaResult<()>, - checkpointed: bool, - ) { - const LOG_N: usize = 6; - const N: usize = 1 << LOG_N; - const VALUES_PER_ROW: usize = 125; - const LOG_ROWS_PER_HASH: u32 = 1; - const COL_CHUNK: usize = 8; - let mut values_host = [GoldilocksField::ZERO; (N * VALUES_PER_ROW) << LOG_ROWS_PER_HASH]; - let mut rng = rand::thread_rng(); - values_host.fill_with(|| GoldilocksField(rng.gen())); - let mut results_host = [GoldilocksField::ZERO; N * CAPACITY]; - let stream = CudaStream::default(); - let mut values_device = - DeviceAllocation::::alloc(values_host.len()).unwrap(); - let mut results_device = - DeviceAllocation::::alloc(results_host.len()).unwrap(); - memory_copy_async(&mut values_device, &values_host, &stream).unwrap(); - if checkpointed { - for start_col in (0..VALUES_PER_ROW).step_by(COL_CHUNK) { - let end_col = start_col + cmp::min(COL_CHUNK, VALUES_PER_ROW - start_col); - let start_mem_idx = (start_col * N) << LOG_ROWS_PER_HASH; - let end_mem_idx = (end_col * N) << LOG_ROWS_PER_HASH; - launch( - &values_device[start_mem_idx..end_mem_idx], - &mut results_device, - LOG_ROWS_PER_HASH, - start_col != 0, - end_col != VALUES_PER_ROW, - &stream, - ) - .unwrap(); - } - } else { - launch( - &values_device, - &mut results_device, - LOG_ROWS_PER_HASH, - false, - false, - &stream, - ) - .unwrap(); - } - memory_copy_async(&mut results_host, &results_device, &stream).unwrap(); - stream.synchronize().unwrap(); - verify_leaves::

(&values_host, &results_host, LOG_ROWS_PER_HASH); - } - - // #[test] - // fn poseidon_single_thread_leaves() { - // test_leaves::(launch_single_thread_leaves_kernel::); - // } - // - // #[test] - // #[should_panic(expected = "leaves_cooperative not implemented for Poseidon")] - // fn poseidon_cooperative_leaves() { - // test_leaves::(launch_cooperative_leaves_kernel::); - // } - - #[test] - fn poseidon2_single_thread_leaves() { - test_leaves::(launch_single_thread_leaves_kernel::, false); - } - - #[test] - fn poseidon2_single_thread_leaves_checkpointed() { - test_leaves::(launch_single_thread_leaves_kernel::, true); - } - - #[test] - fn poseidon2_cooperative_leaves() { - test_leaves::(launch_cooperative_leaves_kernel::, false); - } - - #[test] - fn poseidon2_cooperative_leaves_checkpointed() { - test_leaves::(launch_cooperative_leaves_kernel::, true); - } - - fn test_nodes( - launch: fn( - &DeviceSlice, - &mut DeviceSlice, - &CudaStream, - ) -> CudaResult<()>, - ) { - const LOG_N: usize = 10; - const N: usize = 1 << LOG_N; - let mut values_host = [GoldilocksField::ZERO; N * RATE]; - let mut rng = rand::thread_rng(); - values_host.fill_with(|| GoldilocksField(rng.gen())); - let mut results_host = [GoldilocksField::ZERO; N * CAPACITY]; - let stream = CudaStream::default(); - let mut values_device = - DeviceAllocation::::alloc(values_host.len()).unwrap(); - let mut results_device = - DeviceAllocation::::alloc(results_host.len()).unwrap(); - memory_copy_async(&mut values_device, &values_host, &stream).unwrap(); - launch(&values_device, &mut results_device, &stream).unwrap(); - memory_copy_async(&mut results_host, &results_device, &stream).unwrap(); - stream.synchronize().unwrap(); - verify_nodes::

(&values_host, &results_host); - } - - // #[test] - // fn poseidon_single_thread_nodes() { - // test_nodes::(launch_single_thread_nodes_kernel::); - // } - // - // #[test] - // fn poseidon_cooperative_nodes() { - // test_nodes::(launch_cooperative_nodes_kernel::); - // } - - #[test] - fn poseidon2_single_thread_nodes() { - test_nodes::(launch_single_thread_nodes_kernel::); - } - - #[test] - fn poseidon2_cooperative_nodes() { - test_nodes::(launch_cooperative_nodes_kernel::); - } - - fn verify_tree_nodes( - values: &[GoldilocksField], - results: &[GoldilocksField], - layers_count: u32, - ) { - assert_eq!(values.len(), results.len()); - if layers_count == 0 { - assert!(results.iter().all(|x| x.is_zero())); - } else { - let (nodes, nodes_remaining) = results.split_at(results.len() >> 1); - verify_nodes::

(values, nodes); - verify_tree_nodes::

(nodes, nodes_remaining, layers_count - 1); - } - } - - #[allow(non_snake_case)] - fn merkle_tree(LOG_N: usize) { - const VALUES_PER_ROW: usize = 125; - let N: usize = 1 << LOG_N; - let LAYERS_COUNT: u32 = (LOG_N + 1) as u32; - let mut values_host = vec![GoldilocksField::ZERO; N * VALUES_PER_ROW]; - let mut rng = rand::thread_rng(); - values_host.fill_with(|| GoldilocksField(rng.gen())); - let mut results_host = vec![GoldilocksField::ZERO; N * CAPACITY * 2]; - let stream = CudaStream::default(); - let mut values_device = - DeviceAllocation::::alloc(values_host.len()).unwrap(); - let mut results_device = - DeviceAllocation::::alloc(results_host.len()).unwrap(); - set_to_zero(&mut results_device, &stream).unwrap(); - memory_copy_async(&mut values_device, &values_host, &stream).unwrap(); - build_merkle_tree::

( - &values_device, - &mut results_device, - 0, - &stream, - LAYERS_COUNT, - ) - .unwrap(); - memory_copy_async(&mut results_host, &results_device, &stream).unwrap(); - stream.synchronize().unwrap(); - let (nodes, nodes_remaining) = results_host.split_at(results_host.len() >> 1); - verify_leaves::

(&values_host, nodes, 0); - verify_tree_nodes::

(nodes, nodes_remaining, LAYERS_COUNT - 1); - } - - // #[test] - // fn merkle_tree_poseidon() { - // merkle_tree::(8); - // } - - #[test] - fn merkle_tree_poseidon2() { - merkle_tree::(8); - } - - // #[test] - // #[ignore] - // fn merkle_tree_poseidon_large() { - // merkle_tree::((Poseidon::NODES_PREFER_SINGLE_THREAD_THRESHOLD() + 3) as usize); - // } - - #[test] - #[ignore] - fn merkle_tree_poseidon2_large() { - merkle_tree::((Poseidon2::NODES_PREFER_SINGLE_THREAD_THRESHOLD + 3) as usize); - } - - fn cooperative_matches_single_thread_leaves() { - const LOG_N: usize = 6; - const N: usize = 1 << LOG_N; - const VALUES_PER_ROW: usize = 125; - const LOG_ROWS_PER_HASH: u32 = 1; - let mut values_host = [GoldilocksField::ZERO; (N * VALUES_PER_ROW) << LOG_ROWS_PER_HASH]; - let mut rng = rand::thread_rng(); - values_host.fill_with(|| GoldilocksField(rng.gen())); - let mut results_host_single_thread = vec![GoldilocksField::ZERO; N * CAPACITY]; - let mut results_host_cooperative = vec![GoldilocksField::ZERO; N * CAPACITY]; - let stream = CudaStream::default(); - let mut values_device = - DeviceAllocation::::alloc(values_host.len()).unwrap(); - let mut results_device_single_thread = - DeviceAllocation::::alloc(results_host_single_thread.len()).unwrap(); - let mut results_device_cooperative = - DeviceAllocation::::alloc(results_host_cooperative.len()).unwrap(); - memory_copy_async(&mut values_device, &values_host, &stream).unwrap(); - launch_single_thread_leaves_kernel::

( - &values_device, - &mut results_device_single_thread, - LOG_ROWS_PER_HASH, - false, - false, - &stream, - ) - .unwrap(); - launch_cooperative_leaves_kernel::

( - &values_device, - &mut results_device_cooperative, - LOG_ROWS_PER_HASH, - false, - false, - &stream, - ) - .unwrap(); - memory_copy_async( - &mut results_host_single_thread, - &results_device_single_thread, - &stream, - ) - .unwrap(); - memory_copy_async( - &mut results_host_cooperative, - &results_device_cooperative, - &stream, - ) - .unwrap(); - stream.synchronize().unwrap(); - for i in 0..results_host_single_thread.len() { - assert_eq!(results_host_single_thread[i], results_host_cooperative[i]); - } - } - - // #[test] - // #[should_panic(expected = "leaves_cooperative not implemented for Poseidon")] - // fn poseidon_cooperative_matches_single_thread_leaves() { - // cooperative_matches_single_thread_leaves::(); - // } - - #[test] - fn poseidon2_cooperative_matches_single_thread_leaves() { - cooperative_matches_single_thread_leaves::(); - } - - fn cooperative_matches_single_thread_nodes() { - const LOG_N: usize = 12; - const N: usize = 1 << LOG_N; - let mut values_host = vec![GoldilocksField::ZERO; N * RATE]; - let mut rng = rand::thread_rng(); - values_host.fill_with(|| GoldilocksField(rng.gen())); - let mut results_host_single_thread = vec![GoldilocksField::ZERO; N * CAPACITY]; - let mut results_host_cooperative = vec![GoldilocksField::ZERO; N * CAPACITY]; - let stream = CudaStream::default(); - let mut values_device = - DeviceAllocation::::alloc(values_host.len()).unwrap(); - let mut results_device_single_thread = - DeviceAllocation::::alloc(results_host_single_thread.len()).unwrap(); - let mut results_device_cooperative = - DeviceAllocation::::alloc(results_host_cooperative.len()).unwrap(); - memory_copy_async(&mut values_device, &values_host, &stream).unwrap(); - launch_single_thread_nodes_kernel::

( - &values_device, - &mut results_device_single_thread, - &stream, - ) - .unwrap(); - launch_cooperative_nodes_kernel::

( - &values_device, - &mut results_device_cooperative, - &stream, - ) - .unwrap(); - memory_copy_async( - &mut results_host_single_thread, - &results_device_single_thread, - &stream, - ) - .unwrap(); - memory_copy_async( - &mut results_host_cooperative, - &results_device_cooperative, - &stream, - ) - .unwrap(); - stream.synchronize().unwrap(); - for i in 0..results_host_single_thread.len() { - assert_eq!(results_host_single_thread[i], results_host_cooperative[i]); - } - } - - // #[test] - // fn poseidon_cooperative_matches_single_thread_nodes() { - // cooperative_matches_single_thread_nodes::(); - // } - - #[test] - fn poseidon2_cooperative_matches_single_thread_nodes() { - cooperative_matches_single_thread_nodes::(); - } - - #[test] - fn gather_rows() { - const SRC_LOG_ROWS: usize = 12; - const SRC_ROWS: usize = 1 << SRC_LOG_ROWS; - const COLS: usize = 16; - const INDEXES_COUNT: usize = 42; - const LOG_ROWS_PER_INDEX: usize = 1; - const DST_ROWS: usize = INDEXES_COUNT << LOG_ROWS_PER_INDEX; - let mut rng = rand::thread_rng(); - let mut indexes_host = vec![0; INDEXES_COUNT]; - indexes_host.fill_with(|| rng.gen_range(0..INDEXES_COUNT as u32)); - let mut values_host = vec![GoldilocksField::ZERO; SRC_ROWS * COLS]; - values_host.fill_with(|| GoldilocksField(rng.gen())); - let mut results_host = vec![GoldilocksField::ZERO; DST_ROWS * COLS]; - let stream = CudaStream::default(); - let mut indexes_device = DeviceAllocation::::alloc(indexes_host.len()).unwrap(); - let mut values_device = - DeviceAllocation::::alloc(values_host.len()).unwrap(); - let mut results_device = - DeviceAllocation::::alloc(results_host.len()).unwrap(); - memory_copy_async(&mut indexes_device, &indexes_host, &stream).unwrap(); - memory_copy_async(&mut values_device, &values_host, &stream).unwrap(); - super::gather_rows( - &indexes_device, - LOG_ROWS_PER_INDEX as u32, - &DeviceMatrix::new(&values_device, SRC_ROWS), - &mut DeviceMatrixMut::new(&mut results_device, DST_ROWS), - &stream, - ) - .unwrap(); - memory_copy_async(&mut results_host, &results_device, &stream).unwrap(); - stream.synchronize().unwrap(); - for (i, index) in indexes_host.into_iter().enumerate() { - let src_index = (index as usize) << LOG_ROWS_PER_INDEX; - let dst_index = i << LOG_ROWS_PER_INDEX; - for j in 0..1 << LOG_ROWS_PER_INDEX { - let src_index = src_index + j; - let dst_index = dst_index + j; - for k in 0..COLS { - let expected = values_host[(k << SRC_LOG_ROWS) + src_index]; - let actual = results_host[(k * DST_ROWS) + dst_index]; - assert_eq!(expected, actual); - } - } - } - } - - #[test] - fn gather_merkle_paths() { - const LOG_LEAVES_COUNT: usize = 12; - const INDEXES_COUNT: usize = 42; - const LAYERS_COUNT: usize = LOG_LEAVES_COUNT - 4; - let mut rng = rand::thread_rng(); - let mut indexes_host = vec![0; INDEXES_COUNT]; - indexes_host.fill_with(|| rng.gen_range(0..1u32 << LOG_LEAVES_COUNT)); - let mut values_host = vec![GoldilocksField::ZERO; CAPACITY << (LOG_LEAVES_COUNT + 1)]; - values_host.fill_with(|| GoldilocksField(rng.gen())); - let mut results_host = vec![GoldilocksField::ZERO; CAPACITY * INDEXES_COUNT * LAYERS_COUNT]; - let stream = CudaStream::default(); - let mut indexes_device = DeviceAllocation::::alloc(indexes_host.len()).unwrap(); - let mut values_device = - DeviceAllocation::::alloc(values_host.len()).unwrap(); - let mut results_device = - DeviceAllocation::::alloc(results_host.len()).unwrap(); - memory_copy_async(&mut indexes_device, &indexes_host, &stream).unwrap(); - memory_copy_async(&mut values_device, &values_host, &stream).unwrap(); - super::gather_merkle_paths( - &indexes_device, - &values_device, - &mut results_device, - LAYERS_COUNT as u32, - &stream, - ) - .unwrap(); - memory_copy_async(&mut results_host, &results_device, &stream).unwrap(); - stream.synchronize().unwrap(); - fn verify_merkle_path( - indexes: &[u32], - values: &[GoldilocksField], - results: &[GoldilocksField], - ) { - let (values, values_next) = values.split_at(values.len() >> 1); - let (results, results_next) = results.split_at(INDEXES_COUNT * CAPACITY); - values - .chunks(values.len() / CAPACITY) - .zip(results.chunks(results.len() / CAPACITY)) - .for_each(|(values, results)| { - for (row_index, &index) in indexes.iter().enumerate() { - let sibling_index = index ^ 1; - let expected = values[sibling_index as usize]; - let actual = results[row_index]; - assert_eq!(expected, actual); - } - }); - if !results_next.is_empty() { - let indexes_next = indexes.iter().map(|&x| x >> 1).collect_vec(); - verify_merkle_path(&indexes_next, values_next, results_next); - } - } - verify_merkle_path(&indexes_host, &values_host, &results_host); - } -} diff --git a/crates/boojum-cuda/src/poseidon2.rs b/crates/boojum-cuda/src/poseidon2.rs new file mode 100644 index 0000000..9adc7dd --- /dev/null +++ b/crates/boojum-cuda/src/poseidon2.rs @@ -0,0 +1,901 @@ +use crate::device_structures::{ + DeviceMatrixChunkImpl, DeviceMatrixChunkMutImpl, DeviceRepr, MutPtrAndStride, PtrAndStride, +}; +use crate::utils::{get_grid_block_dims_for_threads_count, get_waves_count, WARP_SIZE}; +use boojum::algebraic_props::round_function::AbsorptionModeOverwrite; +use boojum::algebraic_props::sponge::GoldilocksPoseidon2Sponge; +use boojum::cs::oracle::TreeHasher; +use boojum::field::goldilocks::GoldilocksField; +use era_cudart::execution::{CudaLaunchConfig, Dim3, KernelFunction}; +use era_cudart::paste::paste; +use era_cudart::result::CudaResult; +use era_cudart::slice::DeviceSlice; +use era_cudart::stream::CudaStream; +use era_cudart::{cuda_kernel_declaration, cuda_kernel_signature_arguments_and_function}; +use snark_wrapper::franklin_crypto::bellman::bn256::{Bn256, Fr}; +use snark_wrapper::implementations::poseidon2::tree_hasher::AbsorptionModeReplacement; +use snark_wrapper::rescue_poseidon::poseidon2::Poseidon2Sponge; +use std::ops::{Deref, DerefMut}; + +type GL = GoldilocksField; +type BN = Fr; + +cuda_kernel_signature_arguments_and_function!( + pub LeavesKernel, + values: *const GL, + results: *mut ::Type, + rows_count: u32, + cols_count: u32, + count: u32, + load_intermediate: bool, + store_intermediate: bool, +); + +macro_rules! leaves_kernel { + ($type:ty, $thread:ident) => { + paste! { + cuda_kernel_declaration!( + []( + values: *const GL, + results: *mut <$type as DeviceRepr>::Type, + rows_count: u32, + cols_count: u32, + count: u32, + load_intermediate: bool, + store_intermediate: bool, + ) + ); + } + }; +} + +leaves_kernel!(GL, st); +leaves_kernel!(GL, mt); +leaves_kernel!(BN, st); +leaves_kernel!(BN, mt); + +cuda_kernel_signature_arguments_and_function!( + pub NodesKernel, + values: *const ::Type, + results: *mut ::Type, + count: u32, +); + +macro_rules! nodes_kernel { + ($type:ty, $thread:ident) => { + paste! { + cuda_kernel_declaration!( + []( + values: *const <$type as DeviceRepr>::Type, + results: *mut <$type as DeviceRepr>::Type, + count: u32, + ) + ); + } + }; +} + +nodes_kernel!(GL, st); +nodes_kernel!(GL, mt); +nodes_kernel!(BN, st); +nodes_kernel!(BN, mt); + +cuda_kernel_signature_arguments_and_function!( + pub GatherRowsKernel, + indexes: *const u32, + indexes_count: u32, + values: PtrAndStride<::Type>, + results: MutPtrAndStride<::Type>, +); + +macro_rules! gather_rows_kernel { + ($type:ty) => { + paste! { + cuda_kernel_declaration!( + []( + indexes: *const u32, + indexes_count: u32, + values: PtrAndStride<::Type>, + results: MutPtrAndStride<::Type>, + ) + ); + } + }; +} + +gather_rows_kernel!(GL); +gather_rows_kernel!(BN); + +cuda_kernel_signature_arguments_and_function!( + pub GatherMerklePathsKernel, + indexes: *const u32, + indexes_count: u32, + values: *const ::Type, + log_leaves_count: u32, + results: *mut ::Type, +); + +macro_rules! gather_merkle_paths_kernel { + ($type:ty) => { + paste! { + cuda_kernel_declaration!( + []( + indexes: *const u32, + indexes_count: u32, + values: *const <$type as DeviceRepr>::Type, + log_leaves_count: u32, + results: *mut <$type as DeviceRepr>::Type, + ) + ); + } + }; +} + +gather_merkle_paths_kernel!(GL); +gather_merkle_paths_kernel!(BN); + +fn select_function_and_grid_block_dims( + (mt_function, mt_parallelism): (F, u32), + st_function: F, + count: u32, +) -> (F, Dim3, Dim3) { + let (grid_dim, block_dim) = get_grid_block_dims_for_threads_count(WARP_SIZE, count); + let waves_count = + get_waves_count(&mt_function, WARP_SIZE * mt_parallelism, grid_dim.x, 0).unwrap(); + if waves_count > 1 { + let (grid_dim, block_dim) = get_grid_block_dims_for_threads_count(WARP_SIZE * 4, count); + (st_function, grid_dim, block_dim) + } else { + let block_dim = Dim3::from((block_dim.x, mt_parallelism)); + (mt_function, grid_dim, block_dim) + } +} + +pub trait GpuDigestElements: + Sized + Copy + Default + Deref + DerefMut +{ +} + +pub trait GpuTreeHasher: TreeHasher { + type DigestElementType: DeviceRepr + Copy + Default; + type DigestElements: GpuDigestElements + + Into + + From; + const RATE: usize; + const CAPACITY: usize; + const CHUNKING: usize; + const LEAVES_ST_FUNCTION: LeavesKernelFunction; + const LEAVES_MT_FUNCTION_AND_PARALLELISM: (LeavesKernelFunction, u32); + const NODES_ST_FUNCTION: NodesKernelFunction; + const NODES_MT_FUNCTION_AND_PARALLELISM: (NodesKernelFunction, u32); + const GATHER_ROWS_FUNCTION: GatherRowsKernelFunction; + const GATHER_MERKLE_PATHS_FUNCTION: GatherMerklePathsKernelFunction; + + fn compute_leaf_hashes( + values: &DeviceSlice, + results: &mut DeviceSlice, + log_rows_per_hash: u32, + load_intermediate: bool, + store_intermediate: bool, + stream: &CudaStream, + ) -> CudaResult<()> { + let values_len = values.len(); + let results_len = results.len(); + assert_eq!(results_len % Self::CAPACITY, 0); + let count = results_len / Self::CAPACITY; + assert_eq!(values_len % (count << log_rows_per_hash), 0); + let values = values.as_ptr(); + let results = results.as_mut_ptr() as *mut ::Type; + let rows_count = 1 << log_rows_per_hash; + let cols_count = values_len / (count << log_rows_per_hash); + // If this launch computes an intermediate result for a partial set of columns, + // the kernels assume we'll complete a permutation for a full state before writing + // the result for the current columns. This imposes a restriction on the number + // of columns we may include in the partial set. + assert!( + !store_intermediate || ((rows_count * cols_count * Self::CHUNKING) % Self::RATE == 0) + ); + assert!(cols_count <= u32::MAX as usize); + let cols_count = cols_count as u32; + assert!(rows_count <= u32::MAX as usize); + let rows_count = rows_count as u32; + assert!(count <= u32::MAX as usize); + let count = count as u32; + let (function, grid_dim, block_dim) = select_function_and_grid_block_dims( + Self::LEAVES_MT_FUNCTION_AND_PARALLELISM, + Self::LEAVES_ST_FUNCTION, + count, + ); + let config = CudaLaunchConfig::basic(grid_dim, block_dim, stream); + let args = LeavesKernelArguments::::new( + values, + results, + rows_count, + cols_count, + count, + load_intermediate, + store_intermediate, + ); + function.launch(&config, &args) + } + + fn compute_node_hashes( + values: &DeviceSlice, + results: &mut DeviceSlice, + stream: &CudaStream, + ) -> CudaResult<()> { + assert_eq!(Self::RATE, Self::CAPACITY * 2); + let values_len = values.len(); + let results_len = results.len(); + assert_eq!(values_len % Self::RATE, 0); + assert_eq!(results_len % Self::CAPACITY, 0); + assert_eq!(values_len, results_len * 2); + let values = values.as_ptr() as *const ::Type; + let results = results.as_mut_ptr() as *mut ::Type; + assert!(results_len / Self::CAPACITY <= u32::MAX as usize); + let count = (results_len / Self::CAPACITY) as u32; + let (function, grid_dim, block_dim) = select_function_and_grid_block_dims( + Self::NODES_MT_FUNCTION_AND_PARALLELISM, + Self::NODES_ST_FUNCTION, + count, + ); + let config = CudaLaunchConfig::basic(grid_dim, block_dim, stream); + let args = NodesKernelArguments::::new(values, results, count); + function.launch(&config, &args) + } + + fn build_merkle_tree_leaves( + values: &DeviceSlice, + results: &mut DeviceSlice, + log_rows_per_hash: u32, + load_intermediate: bool, + store_intermediate: bool, + stream: &CudaStream, + ) -> CudaResult<()> { + let values_len = values.len(); + let results_len = results.len(); + assert_eq!(results_len % Self::CAPACITY, 0); + let leaves_count = results_len / Self::CAPACITY; + assert_eq!(values_len % leaves_count, 0); + Self::compute_leaf_hashes( + values, + results, + log_rows_per_hash, + load_intermediate, + store_intermediate, + stream, + ) + } + + fn build_merkle_tree_nodes( + values: &DeviceSlice, + results: &mut DeviceSlice, + layers_count: u32, + stream: &CudaStream, + ) -> CudaResult<()> { + if layers_count == 0 { + Ok(()) + } else { + let values_len = values.len(); + let results_len = results.len(); + assert_eq!(values_len % Self::RATE, 0); + let layer = (values_len / Self::RATE).trailing_zeros(); + assert_eq!(values_len, Self::RATE << layer); + assert_eq!(values_len, results_len); + let (nodes, nodes_remaining) = results.split_at_mut(results_len >> 1); + Self::compute_node_hashes(values, nodes, stream)?; + Self::build_merkle_tree_nodes(nodes, nodes_remaining, layers_count - 1, stream) + } + } + + fn build_merkle_tree( + values: &DeviceSlice, + results: &mut DeviceSlice, + log_rows_per_hash: u32, + stream: &CudaStream, + layers_count: u32, + ) -> CudaResult<()> { + assert_ne!(layers_count, 0); + let values_len = values.len(); + let results_len = results.len(); + assert_eq!(results_len % (2 * Self::CAPACITY), 0); + let leaves_count = results_len / (2 * Self::CAPACITY); + assert!(1 << (layers_count - 1) <= leaves_count); + assert_eq!(values_len % leaves_count, 0); + let (nodes, nodes_remaining) = results.split_at_mut(results.len() >> 1); + Self::build_merkle_tree_leaves(values, nodes, log_rows_per_hash, false, false, stream)?; + Self::build_merkle_tree_nodes(nodes, nodes_remaining, layers_count - 1, stream) + } + + fn gather_rows( + indexes: &DeviceSlice, + log_rows_per_index: u32, + values: &(impl DeviceMatrixChunkImpl + ?Sized), + result: &mut (impl DeviceMatrixChunkMutImpl + ?Sized), + stream: &CudaStream, + ) -> CudaResult<()> { + let indexes_len = indexes.len(); + let values_cols = values.cols(); + let result_rows = result.rows(); + let result_cols = result.cols(); + let rows_per_index = 1 << log_rows_per_index; + assert!(log_rows_per_index < WARP_SIZE); + assert_eq!(result_cols, values_cols); + assert_eq!(result_rows, indexes_len << log_rows_per_index); + assert!(indexes_len <= u32::MAX as usize); + let indexes_count = indexes_len as u32; + let (mut grid_dim, block_dim) = + get_grid_block_dims_for_threads_count(WARP_SIZE >> log_rows_per_index, indexes_count); + let block_dim = (rows_per_index, block_dim.x); + assert!(result_cols <= u32::MAX as usize); + grid_dim.y = result_cols as u32; + let indexes = indexes.as_ptr(); + let values = values.as_ptr_and_stride(); + let result = result.as_mut_ptr_and_stride(); + let config = CudaLaunchConfig::basic(grid_dim, block_dim, stream); + let args = GatherRowsKernelArguments::new(indexes, indexes_count, values, result); + Self::GATHER_ROWS_FUNCTION.launch(&config, &args) + } + + fn gather_merkle_paths( + indexes: &DeviceSlice, + values: &DeviceSlice, + results: &mut DeviceSlice, + layers_count: u32, + stream: &CudaStream, + ) -> CudaResult<()> { + assert!(indexes.len() <= u32::MAX as usize); + let indexes_count = indexes.len() as u32; + assert_eq!(values.len() % Self::CAPACITY, 0); + let values_count = values.len() / Self::CAPACITY; + assert!(values_count.is_power_of_two()); + let log_values_count = values_count.trailing_zeros(); + assert_ne!(log_values_count, 0); + let log_leaves_count = log_values_count - 1; + assert!(layers_count <= log_leaves_count); + assert_eq!( + indexes.len() * layers_count as usize * Self::CAPACITY, + results.len() + ); + let (grid_dim, block_dim) = get_grid_block_dims_for_threads_count(WARP_SIZE, indexes_count); + let grid_dim = (grid_dim.x, Self::CAPACITY as u32, layers_count); + let indexes = indexes.as_ptr(); + let values = values.as_ptr() as *const ::Type; + let result = results.as_mut_ptr() as *mut ::Type; + let config = CudaLaunchConfig::basic(grid_dim, block_dim, stream); + let args = GatherMerklePathsKernelArguments::::new( + indexes, + indexes_count, + values, + log_leaves_count, + result, + ); + Self::GATHER_MERKLE_PATHS_FUNCTION.launch(&config, &args) + } +} + +pub type GLHasher = GoldilocksPoseidon2Sponge; + +#[derive(Clone, Copy, Debug, Default, Eq, PartialEq)] +#[repr(transparent)] +pub struct GLDigestElements([GL; 4]); + +impl Deref for GLDigestElements { + type Target = [GL]; + + fn deref(&self) -> &Self::Target { + &self.0 + } +} + +impl DerefMut for GLDigestElements { + fn deref_mut(&mut self) -> &mut Self::Target { + &mut self.0 + } +} + +impl GpuDigestElements for GLDigestElements {} + +// impl Into<[GL; 4]> for GLDigestElements { +// fn into(self) -> [GL; 4] { +// self.0 +// } +// } + +impl From<[GL; 4]> for GLDigestElements { + fn from(value: [GL; 4]) -> Self { + Self(value) + } +} + +impl From for [GL; 4] { + fn from(value: GLDigestElements) -> Self { + value.0 + } +} + +impl GpuTreeHasher for GLHasher { + type DigestElementType = GL; + type DigestElements = GLDigestElements; + const RATE: usize = 8; + const CAPACITY: usize = 4; + const CHUNKING: usize = 1; + const LEAVES_ST_FUNCTION: LeavesKernelFunction = + LeavesKernelFunction(poseidon2_gl_st_leaves_kernel); + const LEAVES_MT_FUNCTION_AND_PARALLELISM: (LeavesKernelFunction, u32) = + (LeavesKernelFunction(poseidon2_gl_mt_leaves_kernel), 3); + const NODES_ST_FUNCTION: NodesKernelFunction = + NodesKernelFunction(poseidon2_gl_st_nodes_kernel); + const NODES_MT_FUNCTION_AND_PARALLELISM: (NodesKernelFunction, u32) = + (NodesKernelFunction(poseidon2_gl_mt_nodes_kernel), 3); + const GATHER_ROWS_FUNCTION: GatherRowsKernelFunction = + GatherRowsKernelFunction(poseidon2_gl_gather_rows_kernel); + const GATHER_MERKLE_PATHS_FUNCTION: GatherMerklePathsKernelFunction = + GatherMerklePathsKernelFunction(poseidon2_gl_gather_merkle_paths_kernel); +} + +pub type BNHasher = Poseidon2Sponge, 2, 3>; + +#[derive(Clone, Copy, Debug, Default, Eq, PartialEq)] +#[repr(transparent)] +pub struct BNDigestElements([BN; 1]); + +impl Deref for BNDigestElements { + type Target = [BN]; + + fn deref(&self) -> &Self::Target { + &self.0 + } +} + +impl DerefMut for BNDigestElements { + fn deref_mut(&mut self) -> &mut Self::Target { + &mut self.0 + } +} + +impl GpuDigestElements for BNDigestElements {} + +// impl Into for BNDigestElements { +// fn into(self) -> BN { +// self.0[0] +// } +// } + +impl From for BNDigestElements { + fn from(value: BN) -> Self { + Self([value]) + } +} + +impl From for BN { + fn from(value: BNDigestElements) -> Self { + value.0[0] + } +} + +impl GpuTreeHasher for BNHasher { + type DigestElementType = BN; + type DigestElements = BNDigestElements; + const RATE: usize = 2; + const CAPACITY: usize = 1; + const CHUNKING: usize = 3; + const LEAVES_ST_FUNCTION: LeavesKernelFunction = + LeavesKernelFunction(poseidon2_bn_st_leaves_kernel); + const LEAVES_MT_FUNCTION_AND_PARALLELISM: (LeavesKernelFunction, u32) = + (LeavesKernelFunction(poseidon2_bn_mt_leaves_kernel), 3); + const NODES_ST_FUNCTION: NodesKernelFunction = + NodesKernelFunction(poseidon2_bn_st_nodes_kernel); + const NODES_MT_FUNCTION_AND_PARALLELISM: (NodesKernelFunction, u32) = + (NodesKernelFunction(poseidon2_bn_mt_nodes_kernel), 3); + const GATHER_ROWS_FUNCTION: GatherRowsKernelFunction = + GatherRowsKernelFunction(poseidon2_bn_gather_rows_kernel); + const GATHER_MERKLE_PATHS_FUNCTION: GatherMerklePathsKernelFunction = + GatherMerklePathsKernelFunction(poseidon2_bn_gather_merkle_paths_kernel); +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::device_structures::{DeviceMatrix, DeviceMatrixMut}; + use crate::ops_simple::set_to_zero; + use crate::tests_helpers::RandomIterator; + use era_cudart::memory::{memory_copy_async, DeviceAllocation}; + use itertools::Itertools; + use rand::{thread_rng, Rng}; + use rand_04::Rand; + use std::cmp; + use std::fmt::Debug; + + trait TestableGpuTreeHasher: GpuTreeHasher + where + Self::DigestElementType: Copy + Eq + Debug + Default, + { + fn canonical_digest_element(value: &Self::DigestElementType) -> Self::DigestElementType; + fn random_digest_element() -> Self::DigestElementType; + + fn verify_digest( + expected: &[Self::DigestElementType], + actual: &[Self::DigestElementType], + offset: usize, + stride: usize, + ) { + for i in 0..Self::CAPACITY { + let expected = Self::canonical_digest_element(&expected[i]); + let actual = Self::canonical_digest_element(&actual[i * stride + offset]); + assert_eq!(expected, actual); + } + } + + fn verify_leaves( + values: &[GL], + results: &[Self::DigestElementType], + log_rows_per_hash: u32, + ) { + let results_len = results.len(); + assert_eq!(results_len % Self::CAPACITY, 0); + let count = results_len / Self::CAPACITY; + let values_len = values.len(); + assert_eq!(values_len % (count << log_rows_per_hash), 0); + let cols_count = values_len / (count << log_rows_per_hash); + let rows_count = 1 << log_rows_per_hash; + let values_per_hash = cols_count << log_rows_per_hash; + for i in 0..count { + let mut leaf_values = Vec::with_capacity(values_per_hash); + for idx in 0..values_per_hash { + let row = idx % rows_count; + let col = idx / rows_count; + let value = values[(i << log_rows_per_hash) + row + col * rows_count * count]; + leaf_values.push(value); + } + let digest = Self::hash_into_leaf(&leaf_values); + let digest: Self::DigestElements = digest.into(); + Self::verify_digest(&digest, results, i, count); + } + } + + fn verify_nodes(values: &[Self::DigestElementType], results: &[Self::DigestElementType]) { + let values_len = values.len(); + assert_eq!(values_len % (Self::CAPACITY * 2), 0); + let count = values_len / (Self::CAPACITY * 2); + assert_eq!(results.len(), count * Self::CAPACITY); + for i in 0..count { + let mut nodes = [Self::DigestElements::default(); 2]; + for (j, node) in nodes.iter_mut().enumerate() { + for (k, value) in node.iter_mut().enumerate() { + let value_offset = (k * count + i) * 2 + j; + *value = values[value_offset]; + } + } + let digest = Self::hash_into_node(&nodes[0].into(), &nodes[1].into(), 0); + let digest: Self::DigestElements = digest.into(); + Self::verify_digest(&digest, results, i, count); + } + } + + fn verify_tree_nodes( + values: &[Self::DigestElementType], + results: &[Self::DigestElementType], + layers_count: u32, + ) { + assert_eq!(values.len(), results.len()); + if layers_count == 0 { + assert!(results + .iter() + .all(|x| x == &Self::DigestElementType::default())); + } else { + let (nodes, nodes_remaining) = results.split_at(results.len() >> 1); + Self::verify_nodes(values, nodes); + Self::verify_tree_nodes(nodes, nodes_remaining, layers_count - 1); + } + } + + fn test_leaves() -> CudaResult<()> { + const VALUES_PER_ROW: usize = 9; + const LOG_ROWS_PER_HASH: u32 = 1; + let checkpointed_chunk = Self::RATE * Self::CHUNKING; + let values_host = GL::get_random_iterator() + .take(VALUES_PER_ROW << (LOG_N + LOG_ROWS_PER_HASH)) + .collect_vec(); + let mut results_host = + vec![Self::DigestElementType::default(); Self::CAPACITY << LOG_N]; + let stream = CudaStream::default(); + let mut values_device = DeviceAllocation::::alloc(values_host.len())?; + let mut results_device = + DeviceAllocation::::alloc(results_host.len())?; + memory_copy_async(&mut values_device, &values_host, &stream)?; + if CHECKPOINTED { + for start_col in (0..VALUES_PER_ROW).step_by(checkpointed_chunk) { + let end_col = + start_col + cmp::min(checkpointed_chunk, VALUES_PER_ROW - start_col); + let start_mem_idx = start_col << (LOG_N + LOG_ROWS_PER_HASH); + let end_mem_idx = end_col << (LOG_N + LOG_ROWS_PER_HASH); + Self::compute_leaf_hashes( + &values_device[start_mem_idx..end_mem_idx], + &mut results_device, + LOG_ROWS_PER_HASH, + start_col != 0, + end_col != VALUES_PER_ROW, + &stream, + )?; + } + } else { + Self::compute_leaf_hashes( + &values_device, + &mut results_device, + LOG_ROWS_PER_HASH, + false, + false, + &stream, + )?; + } + memory_copy_async(&mut results_host, &results_device, &stream)?; + stream.synchronize()?; + Self::verify_leaves(&values_host, &results_host, LOG_ROWS_PER_HASH); + Ok(()) + } + + fn test_nodes() -> CudaResult<()> { + let values_host = (0..Self::RATE << LOG_N) + .map(|_| Self::random_digest_element()) + .collect_vec(); + let mut results_host = + vec![Self::DigestElementType::default(); Self::CAPACITY << LOG_N]; + let stream = CudaStream::default(); + let mut values_device = DeviceAllocation::alloc(values_host.len())?; + let mut results_device = DeviceAllocation::alloc(results_host.len())?; + memory_copy_async(&mut values_device, &values_host, &stream)?; + Self::compute_node_hashes(&values_device, &mut results_device, &stream)?; + memory_copy_async(&mut results_host, &results_device, &stream)?; + stream.synchronize()?; + Self::verify_nodes(&values_host, &results_host); + Ok(()) + } + + fn test_merkle_tree() -> CudaResult<()> { + const VALUES_PER_ROW: usize = 9; + let n = 1 << LOG_N; + let layers_count = (LOG_N + 1) as u32; + let values_host = GL::get_random_iterator() + .take(n * VALUES_PER_ROW) + .collect_vec(); + let mut results_host = vec![Self::DigestElementType::default(); n * Self::CAPACITY * 2]; + let stream = CudaStream::default(); + let mut values_device = DeviceAllocation::alloc(values_host.len())?; + let mut results_device = DeviceAllocation::alloc(results_host.len())?; + set_to_zero(&mut results_device, &stream)?; + memory_copy_async(&mut values_device, &values_host, &stream)?; + Self::build_merkle_tree( + &values_device, + &mut results_device, + 0, + &stream, + layers_count, + )?; + memory_copy_async(&mut results_host, &results_device, &stream)?; + stream.synchronize()?; + let (nodes, nodes_remaining) = results_host.split_at(results_host.len() >> 1); + Self::verify_leaves(&values_host, nodes, 0); + Self::verify_tree_nodes(nodes, nodes_remaining, layers_count - 1); + Ok(()) + } + + fn test_gather_rows() -> CudaResult<()> { + const SRC_LOG_ROWS: usize = 12; + const SRC_ROWS: usize = 1 << SRC_LOG_ROWS; + const COLS: usize = 16; + const INDEXES_COUNT: usize = 42; + const LOG_ROWS_PER_INDEX: usize = 1; + const DST_ROWS: usize = INDEXES_COUNT << LOG_ROWS_PER_INDEX; + let mut rng = thread_rng(); + let mut indexes_host = vec![0; INDEXES_COUNT]; + indexes_host.fill_with(|| rng.gen_range(0..INDEXES_COUNT as u32)); + let values_host = GL::get_random_iterator() + .take(SRC_ROWS * COLS) + .collect_vec(); + let mut results_host = vec![GL::default(); DST_ROWS * COLS]; + let stream = CudaStream::default(); + let mut indexes_device = DeviceAllocation::alloc(indexes_host.len())?; + let mut values_device = DeviceAllocation::alloc(values_host.len())?; + let mut results_device = DeviceAllocation::alloc(results_host.len())?; + memory_copy_async(&mut indexes_device, &indexes_host, &stream)?; + memory_copy_async(&mut values_device, &values_host, &stream)?; + Self::gather_rows( + &indexes_device, + LOG_ROWS_PER_INDEX as u32, + &DeviceMatrix::new(&values_device, SRC_ROWS), + &mut DeviceMatrixMut::new(&mut results_device, DST_ROWS), + &stream, + )?; + memory_copy_async(&mut results_host, &results_device, &stream)?; + stream.synchronize()?; + for (i, index) in indexes_host.into_iter().enumerate() { + let src_index = (index as usize) << LOG_ROWS_PER_INDEX; + let dst_index = i << LOG_ROWS_PER_INDEX; + for j in 0..1 << LOG_ROWS_PER_INDEX { + let src_index = src_index + j; + let dst_index = dst_index + j; + for k in 0..COLS { + let expected = values_host[(k << SRC_LOG_ROWS) + src_index]; + let actual = results_host[(k * DST_ROWS) + dst_index]; + assert_eq!(expected, actual); + } + } + } + Ok(()) + } + + fn test_gather_merkle_paths() -> CudaResult<()> + where + [(); Self::CAPACITY]:, + { + const LOG_LEAVES_COUNT: usize = 12; + const INDEXES_COUNT: usize = 42; + const LAYERS_COUNT: usize = LOG_LEAVES_COUNT; + let mut rng = thread_rng(); + let mut indexes_host = vec![0; INDEXES_COUNT]; + indexes_host.fill_with(|| rng.gen_range(0..1u32 << LOG_LEAVES_COUNT)); + let mut values_host = + vec![Self::DigestElementType::default(); Self::CAPACITY << (LOG_LEAVES_COUNT + 1)]; + values_host.fill_with(|| Self::random_digest_element()); + let mut results_host = vec![ + Self::DigestElementType::default(); + Self::CAPACITY * INDEXES_COUNT * LAYERS_COUNT + ]; + let stream = CudaStream::default(); + let mut indexes_device = DeviceAllocation::::alloc(indexes_host.len())?; + let mut values_device = DeviceAllocation::alloc(values_host.len())?; + let mut results_device = DeviceAllocation::alloc(results_host.len())?; + memory_copy_async(&mut indexes_device, &indexes_host, &stream)?; + memory_copy_async(&mut values_device, &values_host, &stream)?; + Self::gather_merkle_paths( + &indexes_device, + &values_device, + &mut results_device, + LAYERS_COUNT as u32, + &stream, + )?; + memory_copy_async(&mut results_host, &results_device, &stream)?; + stream.synchronize()?; + fn verify_merkle_path( + indexes: &[u32], + values: &[T], + results: &[T], + ) { + let (values, values_next) = values.split_at(values.len() >> 1); + let (results, results_next) = results.split_at(INDEXES_COUNT * CAPACITY); + values + .chunks(values.len() / CAPACITY) + .zip(results.chunks(results.len() / CAPACITY)) + .for_each(|(values, results)| { + for (row_index, &index) in indexes.iter().enumerate() { + let sibling_index = index ^ 1; + let expected = &values[sibling_index as usize]; + let actual = &results[row_index]; + assert_eq!(expected, actual); + } + }); + if !results_next.is_empty() { + let indexes_next = indexes.iter().map(|&x| x >> 1).collect_vec(); + verify_merkle_path::(&indexes_next, values_next, results_next); + } + } + verify_merkle_path::( + &indexes_host, + &values_host, + &results_host, + ); + Ok(()) + } + } + + impl TestableGpuTreeHasher for GLHasher { + fn canonical_digest_element(value: &Self::DigestElementType) -> Self::DigestElementType { + GL::from_nonreduced_u64(value.to_nonreduced_u64()) + } + + fn random_digest_element() -> Self::DigestElementType { + GL::from_nonreduced_u64(thread_rng().gen()) + } + } + + impl TestableGpuTreeHasher for BNHasher { + fn canonical_digest_element(value: &Self::DigestElementType) -> Self::DigestElementType { + *value + } + + fn random_digest_element() -> Self::DigestElementType { + BN::rand(&mut rand_04::thread_rng()) + } + } + + #[test] + fn gl_leaves_small() -> CudaResult<()> { + GLHasher::test_leaves::<4, false>() + } + + #[test] + fn gl_leaves_large() -> CudaResult<()> { + GLHasher::test_leaves::<12, false>() + } + + #[test] + fn gl_leaves_small_checkpointed() -> CudaResult<()> { + GLHasher::test_leaves::<4, true>() + } + + #[test] + fn gl_leaves_large_checkpointed() -> CudaResult<()> { + GLHasher::test_leaves::<12, true>() + } + + #[test] + fn bn_leaves_small() -> CudaResult<()> { + BNHasher::test_leaves::<4, false>() + } + + #[test] + fn bn_leaves_large() -> CudaResult<()> { + BNHasher::test_leaves::<12, false>() + } + + #[test] + fn bn_leaves_small_checkpointed() -> CudaResult<()> { + BNHasher::test_leaves::<4, true>() + } + + #[test] + fn bn_leaves_large_checkpointed() -> CudaResult<()> { + BNHasher::test_leaves::<12, true>() + } + + #[test] + fn gl_nodes_small() -> CudaResult<()> { + GLHasher::test_nodes::<4>() + } + + #[test] + fn gl_nodes_large() -> CudaResult<()> { + GLHasher::test_nodes::<12>() + } + + #[test] + fn bn_nodes_small() -> CudaResult<()> { + BNHasher::test_nodes::<4>() + } + + #[test] + fn bn_nodes_large() -> CudaResult<()> { + BNHasher::test_nodes::<12>() + } + + #[test] + fn gl_merkle_tree() -> CudaResult<()> { + GLHasher::test_merkle_tree::<12>() + } + + #[test] + fn bn_merkle_tree() -> CudaResult<()> { + BNHasher::test_merkle_tree::<6>() + } + + #[test] + fn gl_gather_rows() -> CudaResult<()> { + GLHasher::test_gather_rows() + } + + #[test] + fn bn_gather_rows() -> CudaResult<()> { + BNHasher::test_gather_rows() + } + + #[test] + fn gl_gather_merkle_paths() -> CudaResult<()> { + GLHasher::test_gather_merkle_paths() + } + + #[test] + fn bn_gather_merkle_paths() -> CudaResult<()> { + BNHasher::test_gather_merkle_paths() + } +} diff --git a/crates/boojum-cuda/src/utils.rs b/crates/boojum-cuda/src/utils.rs index 6673309..5172a8f 100644 --- a/crates/boojum-cuda/src/utils.rs +++ b/crates/boojum-cuda/src/utils.rs @@ -1,4 +1,8 @@ -use era_cudart::execution::Dim3; +use era_cudart::device::{device_get_attribute, get_device}; +use era_cudart::execution::{Dim3, KernelFunction}; +use era_cudart::occupancy::max_active_blocks_per_multiprocessor; +use era_cudart::result::CudaResult; +use era_cudart_sys::CudaDeviceAttr::MultiProcessorCount; use std::cmp::min; pub const WARP_SIZE: u32 = 32; @@ -11,3 +15,19 @@ pub fn get_grid_block_dims_for_threads_count( let grid_dim = (threads_count + block_dim - 1) / block_dim; (grid_dim.into(), block_dim.into()) } + +pub fn get_waves_count( + kernel_function: &impl KernelFunction, + block_size: u32, + grid_size: u32, + dynamic_smem_size: usize, +) -> CudaResult { + let device_id = get_device()?; + let mpc = device_get_attribute(MultiProcessorCount, device_id)?; + let max = max_active_blocks_per_multiprocessor( + kernel_function, + block_size as i32, + dynamic_smem_size, + )?; + Ok((grid_size - 1) / (mpc * max) as u32 + 1) +} diff --git a/crates/gpu-prover/Cargo.toml b/crates/gpu-prover/Cargo.toml index 9556d4e..3bb0eab 100644 --- a/crates/gpu-prover/Cargo.toml +++ b/crates/gpu-prover/Cargo.toml @@ -11,8 +11,8 @@ name = "zksync-gpu-prover" description = "ZKsync GPU prover utilities" [dependencies] -gpu-ffi.workspace = true franklin-crypto = { workspace = true, optional = true } +gpu-ffi.workspace = true crossbeam = "0.8" rand = "0.4" diff --git a/crates/shivini/Cargo.toml b/crates/shivini/Cargo.toml index ed5f5e6..7142f98 100644 --- a/crates/shivini/Cargo.toml +++ b/crates/shivini/Cargo.toml @@ -14,10 +14,10 @@ exclude = ["/test_data"] [dependencies] boojum.workspace = true boojum-cuda.workspace = true +circuit_definitions = { workspace = true, optional = true } era_cudart.workspace = true era_cudart_sys.workspace = true -circuit_definitions = { workspace = true, optional = true } - +itertools = "0.13" rand = "0.8" smallvec = { version = "1.13", features = [ "const_generics", @@ -34,6 +34,7 @@ nvtx = { version = "1.3", optional = true } [dev-dependencies] serial_test = "3.1" +serde_json = "1" [features] default = ["zksync"] diff --git a/crates/shivini/rust-toolchain.toml b/crates/shivini/rust-toolchain.toml deleted file mode 100644 index bc5d1d6..0000000 --- a/crates/shivini/rust-toolchain.toml +++ /dev/null @@ -1,2 +0,0 @@ -[toolchain] -channel = "nightly-2024-08-01" diff --git a/crates/shivini/src/constraint_evaluation.rs b/crates/shivini/src/constraint_evaluation.rs index ade8473..4766e76 100644 --- a/crates/shivini/src/constraint_evaluation.rs +++ b/crates/shivini/src/constraint_evaluation.rs @@ -38,8 +38,9 @@ pub fn get_evaluators_of_general_purpose_cols( let mask = pack_path(&path); let count = path.len() as u32; let num_repetitions = evaluator.num_repetitions_on_row as u32; - let cuda_id = boojum_cuda::gates::find_gate_id_by_name(&evaluator.unique_name) - .expect(&format!("gate id found for {}", evaluator.unique_name)); + let unique_name = &evaluator.unique_name; + let cuda_id = boojum_cuda::gates::find_gate_id_by_name(unique_name) + .unwrap_or_else(|| panic!("gate id found for {unique_name}")); let gate = GateEvaluationParams { id: cuda_id, selector_mask: mask, @@ -57,7 +58,7 @@ pub fn get_evaluators_of_general_purpose_cols( debug_assert!(evaluator.num_quotient_terms == 0); } } - assert!(gates.len() > 0); + assert!(!gates.is_empty()); gates } @@ -65,7 +66,7 @@ pub fn get_specialized_evaluators_from_assembly( config: &GpuProofConfig, selectors_placement: &TreeNode, ) -> Vec { - if config.evaluators_over_specialized_columns.len() < 1 { + if config.evaluators_over_specialized_columns.is_empty() { return vec![]; } @@ -83,7 +84,8 @@ pub fn get_specialized_evaluators_from_assembly( { continue; } - if evaluator.unique_name == "nop_gate_constraint_evaluator" { + let unique_name = &evaluator.unique_name; + if unique_name == "nop_gate_constraint_evaluator" { continue; } if gate_type_id == &std::any::TypeId::of::() { @@ -98,7 +100,7 @@ pub fn get_specialized_evaluators_from_assembly( let num_terms = evaluator.num_quotient_terms; let placement_strategy = config .placement_strategies - .get(&gate_type_id) + .get(gate_type_id) .copied() .expect("gate must be allowed"); let GatePlacementStrategy::UseSpecializedColumns { @@ -124,8 +126,8 @@ pub fn get_specialized_evaluators_from_assembly( total_terms, ); - let cuda_id = boojum_cuda::gates::find_gate_id_by_name(&evaluator.unique_name) - .expect(&format!("gate id found for {}", evaluator.unique_name)); + let cuda_id = boojum_cuda::gates::find_gate_id_by_name(unique_name) + .unwrap_or_else(|| panic!("gate id found for {unique_name}")); let gate = GateEvaluationParams { id: cuda_id, @@ -166,6 +168,7 @@ pub fn multi_polys_as_single_slice_mut<'a, P: PolyForm>(polys: &mut [Poly<'a, P> } // Accumulates into quotient +#[allow(clippy::too_many_arguments)] pub fn generic_evaluate_constraints_by_coset( variable_cols: &[Poly], witness_cols: &[Poly], @@ -189,9 +192,9 @@ pub fn generic_evaluate_constraints_by_coset( std::slice::from_raw_parts_mut(quotient.c0.storage.as_mut().as_mut_ptr(), len) }; - let all_variable_cols = multi_polys_as_single_slice(&variable_cols); - let all_witness_cols = multi_polys_as_single_slice(&witness_cols); - let all_constant_cols = multi_polys_as_single_slice(&constant_cols); + let all_variable_cols = multi_polys_as_single_slice(variable_cols); + let all_witness_cols = multi_polys_as_single_slice(witness_cols); + let all_constant_cols = multi_polys_as_single_slice(constant_cols); let d_challenge = challenge.into(); cs_helpers::constraint_evaluation( gates, diff --git a/crates/shivini/src/context.rs b/crates/shivini/src/context.rs index 8682ce2..b675943 100644 --- a/crates/shivini/src/context.rs +++ b/crates/shivini/src/context.rs @@ -6,6 +6,7 @@ use era_cudart::memory::{CudaHostAllocFlags, HostAllocation}; use era_cudart::slice::DeviceSlice; use era_cudart::stream::CudaStreamCreateFlags; use era_cudart_sys::CudaDeviceAttr; +use std::any::{Any, TypeId}; use std::collections::HashMap; pub(crate) const NUM_AUX_STREAMS_AND_EVENTS: usize = 4; @@ -21,8 +22,8 @@ struct ProverContextSingleton { small_device_allocator: SmallStaticDeviceAllocator, host_allocator: StaticHostAllocator, small_host_allocator: SmallStaticHostAllocator, - setup_cache: Option, - strategy_cache: HashMap, CacheStrategy>, + setup_cache: Option<(TypeId, Box)>, + strategy_cache: HashMap, l2_cache_size: usize, l2_persist_max: usize, compute_capability: (u32, u32), @@ -53,8 +54,8 @@ impl Default for ProverContextConfig { minimum_device_allocation: None, maximum_device_allocation: None, smallest_supported_domain_size: 1 << ZKSYNC_DEFAULT_TRACE_LOG_LENGTH, - powers_of_w_coarse_log_count: 12, - powers_of_g_coarse_log_count: 12, + powers_of_w_coarse_log_count: 15, + powers_of_g_coarse_log_count: 15, } } } @@ -187,10 +188,7 @@ impl ProverContext { impl Drop for ProverContext { fn drop(&mut self) { - _strategy_cache_reset(); - unsafe { - CONTEXT = None; - } + drop(unsafe { CONTEXT.take() }) } } @@ -296,20 +294,24 @@ pub(crate) fn _small_host_alloc() -> &'static SmallStaticHostAllocator { &get_context().small_host_allocator } -pub(crate) fn _setup_cache_get() -> Option<&'static mut SetupCache> { - get_context_mut().setup_cache.as_mut() +pub(crate) fn _setup_cache_get() -> Option<&'static mut SetupCache> { + get_context_mut() + .setup_cache + .as_mut() + .filter(|(id, _)| id == &TypeId::of::()) + .map(|(_, box_any)| box_any.downcast_mut::>().unwrap()) } -pub(crate) fn _setup_cache_set(value: SetupCache) { - assert!(_setup_cache_get().is_none()); - get_context_mut().setup_cache = Some(value); +pub(crate) fn _setup_cache_set(value: SetupCache) { + assert!(get_context_mut().setup_cache.is_none()); + get_context_mut().setup_cache = Some((TypeId::of::(), Box::new(value))); } pub(crate) fn _setup_cache_reset() { get_context_mut().setup_cache = None; } -pub(crate) fn _strategy_cache_get() -> &'static mut HashMap, CacheStrategy> { +pub(crate) fn _strategy_cache_get() -> &'static mut HashMap { &mut get_context_mut().strategy_cache } pub(crate) fn _strategy_cache_reset() { diff --git a/crates/shivini/src/copy_permutation.rs b/crates/shivini/src/copy_permutation.rs index 8dd03b4..62bde06 100644 --- a/crates/shivini/src/copy_permutation.rs +++ b/crates/shivini/src/copy_permutation.rs @@ -64,16 +64,16 @@ pub fn compute_partial_products( variable_cols_chunk, sigma_cols_chunk, &omega_values, - &non_residues_chunk, - &beta, - &gamma, + non_residues_chunk, + beta, + gamma, num_cols_per_product, domain_size, )?; denum.inverse()?; num.mul_assign(&denum)?; - z_poly.mul_assign(&num)?; + z_poly.mul_assign(num)?; } assert!(partial_products_iter.next().is_none()); @@ -90,6 +90,7 @@ pub fn compute_partial_products( } // For debugging purposes +#[allow(clippy::too_many_arguments)] #[allow(dead_code)] pub fn compute_quotient_for_partial_products_naive<'a, 'b>( trace: &TracePolynomials<'a, CosetEvaluations>, @@ -133,7 +134,7 @@ where // partial_product0*g0 - z*f0 // partial_product1*g1 - partial_product0*f1 // partial_product2*g2 - partial_product1*f2 - // .. + // ... // z_shifted*g_n - partial_product_(n-1)*f_n assert_eq!(powers_of_alpha.len(), partial_products.len() + 1); assert_eq!(non_residues_by_beta.len(), variable_cols.len(),); @@ -178,12 +179,12 @@ where { // numerator w + beta * non_res * x + gamma let mut current_num = omega_values.clone(); - current_num.scale_real(&non_residue_by_beta)?; + current_num.scale_real(non_residue_by_beta)?; let variable_col = variable_col.clone(); current_num.add_assign_real(&variable_col)?; current_num.add_constant(&gamma)?; - // dnumerator w + beta * sigma(x) + gamma + // denominator w + beta * sigma(x) + gamma let mut current_denum = ComplexPoly::::from_real(sigma_col)?; current_denum.scale_real(&beta)?; current_denum.add_assign_real(&variable_col)?; @@ -194,16 +195,17 @@ where } // lhs * denum - rhs * num // division will happen on the final quotient - denum.mul_assign(&existing_lhs)?; - num.mul_assign(&existing_rhs)?; + denum.mul_assign(existing_lhs)?; + num.mul_assign(existing_rhs)?; denum.sub_assign(&num)?; - denum.scale(&alpha)?; + denum.scale(alpha)?; quotient.add_assign(&denum)?; } Ok(()) } +#[allow(clippy::too_many_arguments)] pub fn compute_quotient_for_partial_products( variable_cols: &[Poly], permutation_cols: &[Poly], @@ -224,7 +226,7 @@ pub fn compute_quotient_for_partial_products( // partial_product0*g0 - z*f0 // partial_product1*g1 - partial_product0*f1 // partial_product2*g2 - partial_product1*f2 - // .. + // ... // z_shifted*g_n - partial_product_(n-1)*f_n let num_polys = variable_cols.len(); let domain_size = variable_cols[0].domain_size(); diff --git a/crates/shivini/src/cs/setup.rs b/crates/shivini/src/cs/setup.rs index 2716784..5fcf8cf 100644 --- a/crates/shivini/src/cs/setup.rs +++ b/crates/shivini/src/cs/setup.rs @@ -1,3 +1,6 @@ +use super::*; +use boojum::cs::implementations::verifier::{VerificationKey, VerificationKeyCircuitGeometry}; +use boojum::field::traits::field_like::PrimeFieldLikeVectorized; use boojum::{ cs::{ implementations::{ @@ -6,34 +9,35 @@ use boojum::{ setup::TreeNode, utils::make_non_residues, }, - oracle::merkle_tree::MerkleTreeWithCap, Variable, Witness, }, worker::Worker, }; use boojum_cuda::ops_complex::pack_variable_indexes; use era_cudart::slice::{CudaSlice, DeviceSlice}; - -use super::*; +use itertools::Itertools; +use std::rc::Rc; pub(crate) const PACKED_PLACEHOLDER_BITMASK: u32 = 1 << 31; #[derive(Debug, serde::Serialize, serde::Deserialize)] -pub struct GpuSetup { +pub struct GpuSetup { #[serde(serialize_with = "boojum::utils::serialize_vec_vec_with_allocators")] #[serde(deserialize_with = "boojum::utils::deserialize_vec_vec_with_allocators")] - pub constant_columns: Vec>, + pub constant_columns: Vec>, #[serde(serialize_with = "boojum::utils::serialize_vec_vec_with_allocators")] #[serde(deserialize_with = "boojum::utils::deserialize_vec_vec_with_allocators")] - pub lookup_tables_columns: Vec>, + pub lookup_tables_columns: Vec>, #[serde(serialize_with = "boojum::utils::serialize_vec_vec_with_allocators")] #[serde(deserialize_with = "boojum::utils::deserialize_vec_vec_with_allocators")] - pub variables_hint: Vec>, + pub variables_hint: Vec>, #[serde(serialize_with = "boojum::utils::serialize_vec_vec_with_allocators")] #[serde(deserialize_with = "boojum::utils::deserialize_vec_vec_with_allocators")] - pub witnesses_hint: Vec>, + pub witnesses_hint: Vec>, pub table_ids_column_idxes: Vec, pub selectors_placement: TreeNode, - pub setup_tree: MerkleTreeWithCap, + #[serde(serialize_with = "boojum::utils::serialize_vec_vec_with_allocators")] + #[serde(deserialize_with = "boojum::utils::deserialize_vec_vec_with_allocators")] + pub tree: Vec>, pub layout: SetupLayout, } @@ -45,12 +49,12 @@ pub fn transform_indexes_on_device( } // we want to keep size of the hints as small as possible // that's why we expect them to be "unpadded" and padding will be - // applied during materializiation of the corresponding values - // e.g permutation cols, variable cols etc. + // applied during materialization of the corresponding values + // e.g. permutation cols, variable cols etc. let num_cols = variables_hint.len(); let total_size = variables_hint.iter().map(|col| col.len()).sum(); - assert_eq!(std::mem::size_of::(), std::mem::size_of::()); + assert_eq!(size_of::(), size_of::()); let mut transformed_hints = Vec::with_capacity(num_cols); for col in variables_hint.iter() { @@ -115,7 +119,7 @@ pub fn transform_variable_indexes( } transformed_hints.push(new); } - assert_eq!(std::mem::size_of::(), std::mem::size_of::()); + assert_eq!(size_of::(), size_of::()); worker.scope(hints.len(), |scope, chunk_size| { for (src_cols_chunk, dst_cols_chunk) in hints @@ -159,7 +163,7 @@ pub fn transform_witness_indexes( } transformed_hints.push(new); } - assert_eq!(std::mem::size_of::(), std::mem::size_of::()); + assert_eq!(size_of::(), size_of::()); worker.scope(hints.len(), |scope, chunk_size| { for (src_cols_chunk, dst_cols_chunk) in hints @@ -185,59 +189,87 @@ pub fn transform_witness_indexes( transformed_hints } -impl GpuSetup { - pub fn from_setup_and_hints< - P: boojum::field::traits::field_like::PrimeFieldLikeVectorized, - >( - base_setup: SetupBaseStorage, - setup_tree: MerkleTreeWithCap, - variables_hint: DenseVariablesCopyHint, - witnesses_hint: DenseWitnessCopyHint, - worker: &Worker, - ) -> CudaResult { - assert_eq!( - variables_hint.maps.len(), - base_setup.copy_permutation_polys.len() - ); - let _domain_size = base_setup.copy_permutation_polys[0].domain_size(); - let layout = SetupLayout::from_base_setup_and_hints(&base_setup); - - let SetupBaseStorage { - constant_columns, - lookup_tables_columns, - table_ids_column_idxes, - selectors_placement, - .. - } = base_setup; - - let transformed_variables_hints = transform_variable_indexes(variables_hint.maps, worker); - let transformed_witnesses_hints = transform_witness_indexes(witnesses_hint.maps, worker); - - let mut constant_cols_in = Vec::with_capacity(constant_columns.len()); - for src in constant_columns.iter() { - let mut new = Vec::with_capacity_in(src.domain_size(), A::default()); +pub fn gpu_setup_and_vk_from_base_setup_vk_params_and_hints< + H: GpuTreeHasher, + P: PrimeFieldLikeVectorized, +>( + base_setup: SetupBaseStorage, + vk_params: VerificationKeyCircuitGeometry, + variables_hint: DenseVariablesCopyHint, + witnesses_hint: DenseWitnessCopyHint, + worker: &Worker, +) -> CudaResult<(GpuSetup, VerificationKey)> { + assert_eq!( + variables_hint.maps.len(), + base_setup.copy_permutation_polys.len() + ); + let domain_size = base_setup.copy_permutation_polys[0].domain_size(); + let layout = SetupLayout::from_base_setup_and_hints(&base_setup); + let SetupBaseStorage { + constant_columns, + lookup_tables_columns, + table_ids_column_idxes, + selectors_placement, + .. + } = base_setup; + let constant_columns = constant_columns + .iter() + .map(|src| { + let mut new = Vec::with_capacity(src.domain_size()); new.extend_from_slice(P::slice_into_base_slice(&src.storage)); - constant_cols_in.push(new); - } - - let mut lookup_tables_columns_in = Vec::with_capacity(lookup_tables_columns.len()); - for src in lookup_tables_columns.iter() { - let mut new = Vec::with_capacity_in(src.domain_size(), A::default()); + new + }) + .collect_vec(); + let lookup_tables_columns = lookup_tables_columns + .iter() + .map(|src| { + let mut new = Vec::with_capacity_in(src.domain_size(), Global); new.extend_from_slice(P::slice_into_base_slice(&src.storage)); - lookup_tables_columns_in.push(new); - } - - Ok(Self { - constant_columns: constant_cols_in, - lookup_tables_columns: lookup_tables_columns_in, - table_ids_column_idxes, - selectors_placement, - variables_hint: transformed_variables_hints, - witnesses_hint: transformed_witnesses_hints, - setup_tree, - layout, + new }) - } + .collect_vec(); + let variables_hint = transform_variable_indexes(variables_hint.maps, worker); + let witnesses_hint = transform_witness_indexes(witnesses_hint.maps, worker); + let mut setup = GpuSetup { + constant_columns, + lookup_tables_columns, + table_ids_column_idxes, + selectors_placement, + variables_hint, + witnesses_hint, + tree: vec![], + layout, + }; + let variable_indexes = construct_indexes_from_hint(&setup.variables_hint, domain_size, worker)?; + let witness_indexes = construct_indexes_from_hint(&setup.witnesses_hint, domain_size, worker)?; + let aux = SetupCacheAux { + variable_indexes, + witness_indexes, + }; + let fri_lde_degree = vk_params.fri_lde_factor; + let mut cache = SetupCache::::allocate( + PolynomialsCacheStrategy::CacheMonomials, + CommitmentCacheStrategy::CacheCosetCaps, + layout, + domain_size, + fri_lde_degree, + fri_lde_degree, + vk_params.cap_size, + 1, + aux, + ); + let evaluations = cache + .polynomials_cache + .borrow_storage() + .initialize_from_gpu_setup(&setup, &cache.aux.variable_indexes, worker)?; + cache.initialize_from_evaluations(Rc::new(evaluations))?; + setup.tree = cache.commitment_cache.tree.clone(); + let cap = cache.commitment_cache.get_tree_cap(); + let vk = VerificationKey { + fixed_parameters: vk_params, + setup_merkle_tree_cap: cap, + }; + Ok((setup, vk)) } pub fn calculate_tmp_buffer_size( diff --git a/crates/shivini/src/cs/witness.rs b/crates/shivini/src/cs/witness.rs index 9e2f347..fa518af 100644 --- a/crates/shivini/src/cs/witness.rs +++ b/crates/shivini/src/cs/witness.rs @@ -15,8 +15,8 @@ pub fn variable_assignment( assert_eq!(d_variable_indexes.len(), d_result.len()); let (d_variable_indexes_ref, d_variable_values_ref, d_result) = unsafe { ( - DeviceSlice::from_slice(&d_variable_indexes), - DeviceSlice::from_slice(&d_variable_values), + DeviceSlice::from_slice(d_variable_indexes), + DeviceSlice::from_slice(d_variable_values), DeviceSlice::from_mut_slice(d_result), ) }; diff --git a/crates/shivini/src/data_structures/arguments.rs b/crates/shivini/src/data_structures/arguments.rs index 5b1d4d3..1c91ed7 100644 --- a/crates/shivini/src/data_structures/arguments.rs +++ b/crates/shivini/src/data_structures/arguments.rs @@ -1,11 +1,8 @@ -use crate::data_structures::cache::StorageCache; -use boojum::cs::{implementations::proof::OracleQuery, oracle::TreeHasher, LookupParameters}; -use std::ops::{Deref, Range}; -use std::rc::Rc; - use super::*; +use crate::data_structures::cache::StorageCache; +use boojum::cs::LookupParameters; +use std::ops::Range; -#[allow(dead_code)] #[derive(Copy, Clone, Debug, Eq, PartialEq)] pub enum ArgumentsPolyType { Z, @@ -82,7 +79,7 @@ impl ArgumentsLayout { } } -impl GenericStorageLayout for ArgumentsLayout { +impl GenericPolynomialStorageLayout for ArgumentsLayout { type PolyType = ArgumentsPolyType; fn num_polys(&self) -> usize { @@ -129,7 +126,7 @@ impl GenericStorageLayout for ArgumentsLayout { pub type GenericArgumentsStorage

= GenericStorage; -pub type ArgumentsCache = StorageCache; +pub type ArgumentsCache = StorageCache; pub struct ArgumentsPolynomials<'a, P: PolyForm> { pub z_polys: Vec>, @@ -190,186 +187,3 @@ impl GenericArgumentsStorage { batch_barycentric_evaluate_ext(self, bases, self.domain_size(), self.num_polys() / 2) } } - -impl<'a> LeafSourceQuery for ArgumentsPolynomials<'a, CosetEvaluations> { - fn get_leaf_sources( - &self, - _coset_idx: usize, - _lde_degree: usize, - _domain_size: usize, - row_idx: usize, - _: usize, - ) -> CudaResult> { - let _leaf_sources: Vec = vec![]; - let mut values = vec![]; - assert_eq!(self.z_polys.len(), 1); - let z_poly = &self.z_polys[0]; - let el = z_poly.c0.storage.clone_el_to_host(row_idx)?; - values.push(el); - let el = z_poly.c1.storage.clone_el_to_host(row_idx)?; - values.push(el); - - for p in self.partial_products.iter() { - let el = p.c0.storage.clone_el_to_host(row_idx)?; - values.push(el); - let el = p.c1.storage.clone_el_to_host(row_idx)?; - values.push(el); - } - - if self.lookup_a_polys.len() > 0 { - for p in self.lookup_a_polys.iter() { - let el = p.c0.storage.clone_el_to_host(row_idx)?; - values.push(el); - let el = p.c1.storage.clone_el_to_host(row_idx)?; - values.push(el); - } - - for p in self.lookup_b_polys.iter() { - let el = p.c0.storage.clone_el_to_host(row_idx)?; - values.push(el); - let el = p.c1.storage.clone_el_to_host(row_idx)?; - values.push(el); - } - } - - Ok(values) - } -} - -pub struct QuotientCache<'a> { - monomials: GenericComplexPolynomialStorage<'a, MonomialBasis>, - cosets: Vec>>>, - fri_lde_degree: usize, - used_lde_degree: usize, -} - -impl<'a> QuotientCache<'a> { - pub fn from_monomial( - monomials: GenericComplexPolynomialStorage<'a, MonomialBasis>, - fri_lde_degree: usize, - used_lde_degree: usize, - ) -> CudaResult { - assert!(fri_lde_degree.is_power_of_two()); - assert!(used_lde_degree.is_power_of_two()); - - let cosets = vec![None; fri_lde_degree]; - - Ok(Self { - monomials, - cosets, - fri_lde_degree, - used_lde_degree, - }) - } - - pub fn num_polys(&self) -> usize { - self.monomials.num_polys() - } - - pub fn num_polys_in_base(&self) -> usize { - 2 * self.monomials.num_polys() - } - - pub fn commit>( - &mut self, - cap_size: usize, - ) -> CudaResult<(Vec, Vec<[F; 4]>)> { - let fri_lde_degree = self.fri_lde_degree; - let _used_lde_degree = self.used_lde_degree; - let coset_cap_size = coset_cap_size(cap_size, self.fri_lde_degree); - let mut setup_subtrees = vec![]; - let mut setup_subtree_caps = vec![]; - - assert_eq!(self.cosets.len(), fri_lde_degree); - - for coset_idx in 0..fri_lde_degree { - let coset_values = self.get_or_compute_coset_evals(coset_idx)?; - let (subtree, subtree_cap) = - coset_values.build_subtree_for_coset(coset_cap_size, coset_idx)?; - setup_subtree_caps.push(subtree_cap); - setup_subtrees.push(subtree); - } - - let setup_tree_cap = setup_subtree_caps.compute_cap::(&mut setup_subtrees, cap_size)?; - - Ok((setup_subtrees, setup_tree_cap)) - } - - pub fn get_or_compute_coset_evals( - &mut self, - coset_idx: usize, - ) -> CudaResult>> { - assert!(coset_idx < self.used_lde_degree); - - if coset_idx >= self.fri_lde_degree { - let mut tmp_coset = GenericComplexPolynomialStorage::allocate( - self.monomials.num_polys(), - self.monomials.domain_size(), - )?; - self.monomials - .into_coset_eval(coset_idx, self.used_lde_degree, &mut tmp_coset)?; - return Ok(Rc::new(tmp_coset)); - } - - if self.cosets[coset_idx].is_none() { - let mut current_storage = GenericComplexPolynomialStorage::allocate( - self.monomials.num_polys(), - self.monomials.domain_size(), - )?; - self.monomials.into_coset_eval( - coset_idx, - self.used_lde_degree, - &mut current_storage, - )?; - self.cosets[coset_idx] = Some(Rc::new(current_storage)); - } - - return Ok(self.cosets[coset_idx].as_ref().unwrap().clone()); - } - - #[allow(dead_code)] - pub fn query>( - &mut self, - coset_idx: usize, - fri_lde_degree: usize, - row_idx: usize, - domain_size: usize, - tree_holder: &TreeCache, - ) -> CudaResult> { - let leaf_sources = self.get_or_compute_coset_evals(coset_idx)?; - tree_holder.get_quotient_subtrees().query( - leaf_sources.as_ref(), - coset_idx, - fri_lde_degree, - row_idx, - domain_size, - ) - } - - pub fn batch_query_for_coset, A: GoodAllocator>( - &mut self, - coset_idx: usize, - indexes: &DVec, - num_queries: usize, - domain_size: usize, - h_all_leaf_elems: &mut Vec, - h_all_proofs: &mut Vec, - tree_holder: &TreeCache, - ) -> CudaResult<()> { - let num_polys = self.num_polys_in_base(); - let leaf_sources = self.get_or_compute_coset_evals(coset_idx)?; - let oracle_data = tree_holder.get_quotient_subtree(coset_idx); - batch_query::( - indexes, - num_queries, - leaf_sources.deref(), - num_polys, - oracle_data, - oracle_data.cap_size, - domain_size, - 1, - h_all_leaf_elems, - h_all_proofs, - ) - } -} diff --git a/crates/shivini/src/data_structures/cache.rs b/crates/shivini/src/data_structures/cache.rs index 4b5e8d4..86f7c31 100644 --- a/crates/shivini/src/data_structures/cache.rs +++ b/crates/shivini/src/data_structures/cache.rs @@ -1,24 +1,31 @@ +use super::*; +use crate::cs::GpuSetup; +use crate::data_structures::{GenericPolynomialStorageLayout, GenericStorage}; +use crate::gpu_proof_config::GpuProofConfig; +use crate::oracle::SubTree; +use crate::poly::{CosetEvaluations, LagrangeBasis, MonomialBasis}; +use crate::prover::{ + compute_quotient_degree, gpu_prove_from_external_witness_data_with_cache_strategy, +}; use boojum::cs::implementations::pow::PoWRunner; use boojum::cs::implementations::prover::ProofConfig; use boojum::cs::implementations::transcript::Transcript; use boojum::cs::implementations::verifier::{VerificationKey, VerificationKeyCircuitGeometry}; use boojum::cs::implementations::witness::WitnessVec; -use boojum::cs::oracle::TreeHasher; use boojum::worker::Worker; use era_cudart_sys::CudaError::ErrorMemoryAllocation; +use itertools::Itertools; use std::collections::BTreeMap; +use std::hash::{DefaultHasher, Hash, Hasher}; use std::ops::Deref; use std::rc::Rc; -use crate::data_structures::{GenericStorage, GenericStorageLayout}; -use crate::oracle::SubTree; -use crate::poly::{CosetEvaluations, LagrangeBasis, MonomialBasis}; - -use super::*; +pub trait ChunkLeavesSource { + fn get_chunk_leaves(&mut self, chunk_idx: usize) -> CudaResult>; +} -#[allow(dead_code)] #[derive(Clone, Copy, Debug, Hash, Eq, PartialEq, Ord, PartialOrd)] -pub enum StorageCacheStrategy { +pub enum PolynomialsCacheStrategy { InPlace, CacheMonomials, CacheMonomialsAndFirstCoset, @@ -29,8 +36,10 @@ pub enum StorageCacheStrategy { CacheEvaluationsAndAllCosets, } -impl StorageCacheStrategy { - pub fn required_storages_count(&self, fri_lde_degree: usize, used_lde_degree: usize) -> usize { +use PolynomialsCacheStrategy::*; + +impl PolynomialsCacheStrategy { + pub fn required_storages_count(&self, fri_lde_degree: usize, max_lde_degree: usize) -> usize { match self { InPlace => 1, CacheMonomials => 1, @@ -39,121 +48,81 @@ impl StorageCacheStrategy { CacheEvaluationsAndMonomials => 2, CacheEvaluationsMonomialsAndFirstCoset => 3, CacheEvaluationsMonomialsAndFriCosets => 2 + fri_lde_degree, - CacheEvaluationsAndAllCosets => 1 + used_lde_degree, + CacheEvaluationsAndAllCosets => 1 + max_lde_degree, } } -} -use crate::cs::GpuSetup; -use crate::gpu_proof_config::GpuProofConfig; -use crate::prover::{ - compute_quotient_degree, gpu_prove_from_external_witness_data_with_cache_strategy, -}; -use StorageCacheStrategy::*; + pub fn cache_evaluations(&self) -> bool { + match self { + InPlace | CacheMonomials | CacheMonomialsAndFirstCoset | CacheMonomialsAndFriCosets => { + false + } + CacheEvaluationsAndMonomials + | CacheEvaluationsMonomialsAndFirstCoset + | CacheEvaluationsMonomialsAndFriCosets + | CacheEvaluationsAndAllCosets => true, + } + } + + pub fn cache_monomials(&self) -> bool { + match self { + InPlace | CacheEvaluationsAndAllCosets => false, + CacheEvaluationsAndMonomials + | CacheEvaluationsMonomialsAndFirstCoset + | CacheEvaluationsMonomialsAndFriCosets + | CacheMonomials + | CacheMonomialsAndFirstCoset + | CacheMonomialsAndFriCosets => true, + } + } +} -pub struct StorageCache { - pub strategy: StorageCacheStrategy, +pub struct PolynomialsCache { + pub strategy: PolynomialsCacheStrategy, pub layout: L, pub domain_size: usize, pub fri_lde_degree: usize, - pub used_lde_degree: usize, - pub cap_size: usize, - pub aux: T, + pub max_lde_degree: usize, evaluations: Option>>, monomials: Option>>, coset_evaluations: BTreeMap>>, - subtrees_and_caps: BTreeMap)>, uninitialized_storages: Vec>, - uninitialized_subtree_nodes: Vec>, } -impl StorageCache { +impl PolynomialsCache { fn required_storages_count(&self) -> usize { self.strategy - .required_storages_count(self.fri_lde_degree, self.used_lde_degree) + .required_storages_count(self.fri_lde_degree, self.max_lde_degree) + } + + fn is_storage_borrowed(&self) -> bool { + self.uninitialized_storages.len() != self.required_storages_count() } fn allocate( - strategy: StorageCacheStrategy, + strategy: PolynomialsCacheStrategy, layout: L, domain_size: usize, fri_lde_degree: usize, - used_lde_degree: usize, - cap_size: usize, - aux: T, - will_own_evaluations: bool, + max_lde_degree: usize, ) -> Self { - let mut storages_count = strategy.required_storages_count(fri_lde_degree, used_lde_degree); - if will_own_evaluations { - storages_count -= 1; - } - let unused_storages = (0..storages_count) + let storages_count = strategy.required_storages_count(fri_lde_degree, max_lde_degree); + let uninitialized_storages = (0..storages_count) .map(|_| GenericStorage::allocate(layout, domain_size)) .collect(); - let nodes_size = 2 * NUM_EL_PER_HASH * domain_size; - let unused_subtree_nodes = (0..fri_lde_degree).map(|_| dvec!(nodes_size)).collect(); Self { strategy, layout, domain_size, fri_lde_degree, - used_lde_degree, - cap_size, - aux, + max_lde_degree, evaluations: None, monomials: None, coset_evaluations: BTreeMap::new(), - subtrees_and_caps: BTreeMap::new(), - uninitialized_storages: unused_storages, - uninitialized_subtree_nodes: unused_subtree_nodes, + uninitialized_storages, } } - pub fn new( - strategy: StorageCacheStrategy, - layout: L, - domain_size: usize, - fri_lde_degree: usize, - used_lde_degree: usize, - cap_size: usize, - aux: T, - ) -> Self { - Self::allocate( - strategy, - layout, - domain_size, - fri_lde_degree, - used_lde_degree, - cap_size, - aux, - false, - ) - } - - pub fn new_and_initialize( - strategy: StorageCacheStrategy, - layout: L, - domain_size: usize, - fri_lde_degree: usize, - used_lde_degree: usize, - cap_size: usize, - aux: T, - evaluations: GenericStorage, - ) -> CudaResult { - let mut cache = Self::allocate( - strategy, - layout, - domain_size, - fri_lde_degree, - used_lde_degree, - cap_size, - aux, - true, - ); - cache.initialize(Rc::new(evaluations))?; - Ok(cache) - } - fn pop_storage(&mut self) -> GenericStorage { self.uninitialized_storages.pop().unwrap() } @@ -162,7 +131,7 @@ impl StorageCache { GenericStorage::allocate(self.layout, self.domain_size) } - pub fn get_evaluations_storage(&mut self) -> GenericStorage { + pub fn borrow_storage(&mut self) -> GenericStorage { assert_eq!( self.uninitialized_storages.len(), self.required_storages_count() @@ -170,136 +139,6 @@ impl StorageCache { self.pop_storage() } - pub fn initialize( - &mut self, - evaluations: Rc>, - ) -> CudaResult<()> { - let can_owns_evaluations = Rc::strong_count(&evaluations) == 1; - let must_own_evaluations = match self.strategy { - InPlace | CacheMonomials | CacheMonomialsAndFirstCoset | CacheMonomialsAndFriCosets => { - self.required_storages_count() > self.uninitialized_storages.len() - } - CacheEvaluationsAndMonomials - | CacheEvaluationsMonomialsAndFirstCoset - | CacheEvaluationsMonomialsAndFriCosets - | CacheEvaluationsAndAllCosets => false, - }; - assert!(can_owns_evaluations || !must_own_evaluations); - let monomials = match self.strategy { - InPlace | CacheMonomials | CacheMonomialsAndFirstCoset | CacheMonomialsAndFriCosets - if must_own_evaluations => - { - Rc::into_inner(evaluations).unwrap().into_monomials()? - } - InPlace | CacheMonomials | CacheMonomialsAndFirstCoset | CacheMonomialsAndFriCosets => { - evaluations.fill_monomials(self.pop_storage())? - } - CacheEvaluationsAndMonomials - | CacheEvaluationsMonomialsAndFirstCoset - | CacheEvaluationsMonomialsAndFriCosets - | CacheEvaluationsAndAllCosets => { - let monomials = evaluations.fill_monomials(self.pop_storage())?; - self.evaluations = Some(evaluations); - monomials - } - }; - let mut monomials = Some(monomials); - let cosets_count = match self.strategy { - CacheEvaluationsAndAllCosets => self.used_lde_degree, - _ => self.fri_lde_degree, - }; - let coset_cap_size = coset_cap_size(self.cap_size, self.fri_lde_degree); - for coset_idx in 0..cosets_count { - let coset = match self.strategy { - InPlace => monomials - .take() - .unwrap() - .into_coset_evaluations(coset_idx, self.used_lde_degree)?, - CacheMonomials | CacheEvaluationsAndMonomials => monomials - .as_ref() - .unwrap() - .create_coset_evaluations(coset_idx, self.used_lde_degree)?, - CacheMonomialsAndFirstCoset | CacheEvaluationsMonomialsAndFirstCoset - if coset_idx == 0 => - { - monomials.as_ref().unwrap().fill_coset_evaluations( - coset_idx, - self.used_lde_degree, - self.pop_storage(), - )? - } - CacheMonomialsAndFriCosets | CacheEvaluationsMonomialsAndFriCosets - if coset_idx < self.fri_lde_degree => - { - monomials.as_ref().unwrap().fill_coset_evaluations( - coset_idx, - self.used_lde_degree, - self.pop_storage(), - )? - } - CacheMonomialsAndFirstCoset - | CacheMonomialsAndFriCosets - | CacheEvaluationsMonomialsAndFirstCoset - | CacheEvaluationsMonomialsAndFriCosets => monomials - .as_ref() - .unwrap() - .create_coset_evaluations(coset_idx, self.used_lde_degree)?, - CacheEvaluationsAndAllCosets => { - if coset_idx + 1 == self.used_lde_degree { - monomials - .take() - .unwrap() - .into_coset_evaluations(coset_idx, self.used_lde_degree)? - } else { - monomials.as_ref().unwrap().fill_coset_evaluations( - coset_idx, - self.used_lde_degree, - self.pop_storage(), - )? - } - } - }; - if coset_idx < self.fri_lde_degree { - let coset_nodes = self.uninitialized_subtree_nodes.pop().unwrap(); - let (subtree, subtree_cap) = - coset.build_subtree_for_coset(coset_cap_size, coset_idx, coset_nodes)?; - self.subtrees_and_caps - .insert(coset_idx, (subtree, subtree_cap)); - } - - match self.strategy { - InPlace => { - monomials = Some(coset.into_monomials(coset_idx, self.used_lde_degree)?); - } - CacheMonomials | CacheEvaluationsAndMonomials => {} - CacheMonomialsAndFirstCoset | CacheEvaluationsMonomialsAndFirstCoset - if coset_idx == 0 => - { - self.coset_evaluations.insert(coset_idx, Rc::new(coset)); - } - CacheMonomialsAndFriCosets | CacheEvaluationsMonomialsAndFriCosets - if coset_idx < self.fri_lde_degree => - { - self.coset_evaluations.insert(coset_idx, Rc::new(coset)); - } - CacheMonomialsAndFirstCoset - | CacheMonomialsAndFriCosets - | CacheEvaluationsMonomialsAndFirstCoset - | CacheEvaluationsMonomialsAndFriCosets => {} - CacheEvaluationsAndAllCosets => { - self.coset_evaluations.insert(coset_idx, Rc::new(coset)); - } - }; - } - match self.strategy { - CacheEvaluationsAndAllCosets => {} - _ => { - self.monomials = Some(Rc::new(monomials.take().unwrap())); - } - }; - Ok(()) - } - pub fn num_polys(&self) -> usize { self.layout.num_polys() } @@ -339,7 +178,7 @@ impl StorageCache { let (coset_idx, coset) = self.coset_evaluations.pop_first().unwrap(); assert!(self.coset_evaluations.is_empty()); let coset = Rc::into_inner(coset).unwrap(); - coset.into_monomials(coset_idx, self.used_lde_degree)? + coset.into_monomials(coset_idx, self.max_lde_degree)? }; let monomials = Rc::new(monomials); self.monomials = Some(monomials.clone()); @@ -348,7 +187,7 @@ impl StorageCache { } CacheEvaluationsAndAllCosets => { let (coset_idx, coset) = self.coset_evaluations.first_key_value().unwrap(); - let monomials = coset.create_monomials(*coset_idx, self.used_lde_degree)?; + let monomials = coset.create_monomials(*coset_idx, self.max_lde_degree)?; Rc::new(monomials) } _ => self.monomials.as_ref().unwrap().clone(), @@ -360,7 +199,7 @@ impl StorageCache { &mut self, coset_idx: usize, ) -> CudaResult>> { - assert!(coset_idx < self.used_lde_degree); + assert!(coset_idx < self.max_lde_degree); let result = match self.strategy { InPlace => { if let Some(coset) = self.coset_evaluations.get(&coset_idx) { @@ -370,7 +209,7 @@ impl StorageCache { drop(self.monomials.take()); let monomials = Rc::into_inner(monomials).unwrap(); let coset = - Rc::new(monomials.into_coset_evaluations(coset_idx, self.used_lde_degree)?); + Rc::new(monomials.into_coset_evaluations(coset_idx, self.max_lde_degree)?); self.coset_evaluations.insert(coset_idx, coset.clone()); coset } @@ -394,20 +233,19 @@ impl StorageCache { self.monomials .as_ref() .unwrap() - .create_coset_evaluations(coset_idx, self.used_lde_degree)?, + .create_coset_evaluations(coset_idx, self.max_lde_degree)?, ), CacheEvaluationsAndAllCosets => self.coset_evaluations.get(&coset_idx).unwrap().clone(), }; Ok(result) } - #[allow(dead_code)] pub fn get_coset_evaluations_subset( &mut self, coset_idx: usize, subset: L::PolyType, ) -> CudaResult>> { - assert!(coset_idx < self.used_lde_degree); + assert!(coset_idx < self.max_lde_degree); let result = match self.strategy { InPlace | CacheEvaluationsAndAllCosets => self.get_coset_evaluations(coset_idx)?, CacheMonomialsAndFirstCoset | CacheEvaluationsMonomialsAndFirstCoset @@ -429,56 +267,457 @@ impl StorageCache { self.monomials .as_ref() .unwrap() - .create_coset_evaluations_subset(coset_idx, self.used_lde_degree, subset)?, + .create_coset_evaluations_subset(coset_idx, self.max_lde_degree, subset)?, ), }; Ok(result) } +} - pub fn get_commitment>( - &mut self, +impl ChunkLeavesSource for PolynomialsCache { + fn get_chunk_leaves(&mut self, chunk_idx: usize) -> CudaResult> { + self.get_coset_evaluations(chunk_idx) + } +} + +#[derive(Clone, Copy, Debug, Hash, Eq, PartialEq, Ord, PartialOrd)] +pub enum CommitmentCacheStrategy { + CacheAllLayers, + CacheCosetCaps, +} + +use CommitmentCacheStrategy::*; + +impl CommitmentCacheStrategy { + pub fn required_storages_count(&self, chunks_count: usize) -> usize { + match self { + CacheAllLayers => chunks_count, + CacheCosetCaps => 0, + } + } +} + +pub struct CommitmentCache { + pub strategy: CommitmentCacheStrategy, + pub chunk_size: usize, + pub chunks_count: usize, + pub cap_size: usize, + pub chunk_cap_size: usize, + pub num_elems_per_leaf: usize, + pub subtrees_by_chunk: BTreeMap>, + pub caps_by_chunk: BTreeMap>, + pub tree: Vec>, + pub(crate) uninitialized_subtree_nodes: Vec>, +} + +impl CommitmentCache { + fn get_nodes_size_per_chunk(chunk_size: usize, num_elems_per_leaf: usize) -> usize { + assert!(chunk_size.is_power_of_two()); + assert!(num_elems_per_leaf.is_power_of_two()); + assert!(num_elems_per_leaf <= chunk_size); + H::CAPACITY << (chunk_size.trailing_zeros() - num_elems_per_leaf.trailing_zeros() + 1) + } + + pub fn allocate( + strategy: CommitmentCacheStrategy, + chunk_size: usize, + chunks_count: usize, cap_size: usize, - ) -> CudaResult<(Vec, Vec<[F; 4]>)> { - let fri_lde_degree = self.fri_lde_degree; - let coset_cap_size = coset_cap_size(cap_size, self.fri_lde_degree); - let mut subtrees = vec![]; - let mut subtree_caps = vec![]; - for coset_idx in 0..fri_lde_degree { - let (subtree, subtree_cap) = &self.subtrees_and_caps.get(&coset_idx).unwrap(); - assert_eq!(subtree.cap_size, coset_cap_size); - let subtree = SubTree::new( - subtree.nodes.clone(), - subtree.num_leafs, - subtree.cap_size, - coset_idx, - ); - subtrees.push(subtree); - subtree_caps.push(subtree_cap.clone()); + num_elems_per_leaf: usize, + ) -> Self { + assert!(chunks_count.is_power_of_two()); + assert!(cap_size.is_power_of_two()); + let chunk_cap_size = coset_cap_size(cap_size, chunks_count); + let storages_count = strategy.required_storages_count(chunks_count); + let nodes_size = Self::get_nodes_size_per_chunk(chunk_size, num_elems_per_leaf); + let uninitialized_subtree_nodes = (0..storages_count).map(|_| dvec!(nodes_size)).collect(); + Self { + strategy, + chunk_size, + chunks_count, + cap_size, + chunk_cap_size, + num_elems_per_leaf, + subtrees_by_chunk: BTreeMap::new(), + caps_by_chunk: BTreeMap::new(), + tree: vec![], + uninitialized_subtree_nodes, } - let tree_cap = subtree_caps.compute_cap::(&mut subtrees, cap_size)?; - Ok((subtrees, tree_cap)) } - pub fn batch_query_for_coset, A: GoodAllocator>( + fn get_coset_cap_from_tree(&self, coset_index: usize) -> &[H::Output] { + let start = coset_index * self.chunk_cap_size; + let end = start + self.chunk_cap_size; + &self.tree[0][start..end] + } + + pub(crate) fn initialize_for_chunk( &mut self, - coset_idx: usize, - indexes: &DVec, - num_queries: usize, - domain_size: usize, + chunk_idx: usize, + chunk: &impl AsSingleSlice, + ) -> CudaResult<()> { + assert!(chunk_idx < self.chunks_count); + match self.strategy { + CacheAllLayers => { + let nodes = self.uninitialized_subtree_nodes.pop().unwrap(); + let (subtree, subtree_cap) = + build_subtree::(chunk, self.chunk_cap_size, self.num_elems_per_leaf, nodes)?; + self.subtrees_by_chunk.insert(chunk_idx, subtree); + self.caps_by_chunk.insert(chunk_idx, subtree_cap); + } + CacheCosetCaps => { + let nodes_size = + Self::get_nodes_size_per_chunk(self.chunk_size, self.num_elems_per_leaf); + let nodes = dvec!(nodes_size); + let (_, subtree_cap) = + build_subtree::(chunk, self.chunk_cap_size, self.num_elems_per_leaf, nodes)?; + self.caps_by_chunk.insert(chunk_idx, subtree_cap); + } + }; + Ok(()) + } + + pub(crate) fn build_tree(&mut self) -> CudaResult<()> { + let is_dry_run = is_dry_run()?; + if self.tree.is_empty() { + assert_eq!(self.caps_by_chunk.len(), self.chunks_count); + self.tree.push( + (0..self.chunks_count) + .flat_map(|i| self.caps_by_chunk.get(&i).unwrap().clone()) + .collect_vec(), + ); + while self.tree.last().unwrap().len() != self.cap_size { + self.tree.push( + self.tree + .last() + .unwrap() + .chunks(2) + .map(|chunk| { + if is_dry_run { + H::Output::default() + } else { + H::hash_into_node(&chunk[0], &chunk[1], 0) + } + }) + .collect_vec(), + ); + } + } else { + for chunk_index in 0..self.chunks_count { + let tree_coset_cap = self.get_coset_cap_from_tree(chunk_index); + if let Some(map_coset_cap) = self.caps_by_chunk.get(&chunk_index) { + if !is_dry_run { + assert_eq!(tree_coset_cap, map_coset_cap); + } + } else { + self.caps_by_chunk + .insert(chunk_index, tree_coset_cap.to_vec()); + } + } + } + Ok(()) + } + + pub fn get_tree_cap(&self) -> Vec { + self.tree.last().unwrap().clone() + } + + pub fn batch_query_for_chunk( + &self, + chunk_source: &mut impl ChunkLeavesSource, + chunk_idx: usize, + d_indexes: &DVec, h_all_leaf_elems: &mut Vec, - h_all_proofs: &mut Vec, + h_all_proofs: &mut Vec, ) -> CudaResult<()> { - let leaf_sources = self.get_coset_evaluations(coset_idx)?; - let (oracle_data, _) = self.subtrees_and_caps.get(&coset_idx).unwrap(); + let leaf_sources = chunk_source.get_chunk_leaves(chunk_idx)?; + let subtree = if let Some(subtree) = self.subtrees_by_chunk.get(&chunk_idx) { + subtree.clone() + } else { + let coset_cap_size = coset_cap_size(self.cap_size, self.chunks_count); + let nodes_size = + Self::get_nodes_size_per_chunk(self.chunk_size, self.num_elems_per_leaf); + let nodes = dvec!(nodes_size); + let (subtree, subtree_cap) = build_subtree::( + leaf_sources.deref(), + coset_cap_size, + self.num_elems_per_leaf, + nodes, + )?; + if !is_dry_run()? { + assert_eq!(&subtree_cap, self.caps_by_chunk.get(&chunk_idx).unwrap()); + } + subtree + }; batch_query::( - indexes, - num_queries, + d_indexes, leaf_sources.deref(), - leaf_sources.num_polys(), - oracle_data, - oracle_data.cap_size, + leaf_sources.num_polys_in_base(), + &subtree, + subtree.cap_size, + self.chunk_size, + self.num_elems_per_leaf, + h_all_leaf_elems, + h_all_proofs, + )?; + if self.chunks_count > self.cap_size { + let remainder_count = + (self.chunks_count.trailing_zeros() - self.cap_size.trailing_zeros()) as usize; + assert_eq!(remainder_count + 1, self.tree.len()); + let num_queries = d_indexes.len(); + let mut index = chunk_idx; + for layer in self.tree.iter().take(remainder_count) { + let elements = H::DigestElements::from(layer[index ^ 1]); + index >>= 1; + elements + .iter() + .for_each(|e| h_all_proofs.extend(std::iter::repeat(e).take(num_queries))); + } + } + Ok(()) + } +} + +pub struct StorageCache { + pub polynomials_cache: PolynomialsCache, + pub commitment_cache: CommitmentCache, + pub domain_size: usize, + pub fri_lde_degree: usize, + pub max_lde_degree: usize, + pub aux: T, +} + +impl StorageCache { + #[allow(clippy::too_many_arguments)] + pub fn allocate( + polynomials_strategy: PolynomialsCacheStrategy, + commitments_strategy: CommitmentCacheStrategy, + layout: L, + domain_size: usize, + fri_lde_degree: usize, + max_lde_degree: usize, + cap_size: usize, + num_elems_per_leaf: usize, + aux: T, + ) -> Self { + let polynomials_cache = PolynomialsCache::allocate( + polynomials_strategy, + layout, + domain_size, + fri_lde_degree, + max_lde_degree, + ); + let commitments_cache = CommitmentCache::allocate( + commitments_strategy, + domain_size, + fri_lde_degree, + cap_size, + num_elems_per_leaf, + ); + Self { + polynomials_cache, + commitment_cache: commitments_cache, domain_size, - 1, + fri_lde_degree, + max_lde_degree, + aux, + } + } + + pub fn initialize_from_evaluations( + &mut self, + evaluations: Rc>, + ) -> CudaResult<()> { + let can_own_evaluations = Rc::strong_count(&evaluations) == 1; + let polynomials_strategy = self.polynomials_cache.strategy; + let cache_evaluations = polynomials_strategy.cache_evaluations(); + let is_storage_borrowed = self.polynomials_cache.is_storage_borrowed(); + let must_own_evaluations = !cache_evaluations && is_storage_borrowed; + assert!(can_own_evaluations || !must_own_evaluations); + let monomials = if cache_evaluations { + assert!(is_storage_borrowed); + let monomials = evaluations.fill_monomials(self.polynomials_cache.pop_storage())?; + self.polynomials_cache.evaluations = Some(evaluations); + monomials + } else if is_storage_borrowed { + Rc::into_inner(evaluations).unwrap().into_monomials()? + } else { + evaluations.fill_monomials(self.polynomials_cache.pop_storage())? + }; + self.initialize_from_monomials(Rc::new(monomials)) + } + + pub fn initialize_from_monomials( + &mut self, + monomials: Rc>, + ) -> CudaResult<()> { + let can_owns_monomials = Rc::strong_count(&monomials) == 1; + let polynomials_strategy = self.polynomials_cache.strategy; + let cache_monomials = polynomials_strategy.cache_monomials(); + let is_storage_borrowed = self.polynomials_cache.is_storage_borrowed(); + let must_own_monomials = !cache_monomials && is_storage_borrowed; + assert!(can_owns_monomials || !must_own_monomials); + let mut monomials = Some(monomials); + if polynomials_strategy.cache_evaluations() && self.polynomials_cache.evaluations.is_none() + { + let evaluations = monomials + .as_ref() + .unwrap() + .fill_evaluations(self.polynomials_cache.pop_storage())?; + self.polynomials_cache.evaluations = Some(Rc::new(evaluations)); + }; + let polynomials_cosets_count = match polynomials_strategy { + InPlace => 0, + CacheMonomials => 0, + CacheMonomialsAndFirstCoset => 1, + CacheMonomialsAndFriCosets => self.fri_lde_degree, + CacheEvaluationsAndMonomials => 0, + CacheEvaluationsMonomialsAndFirstCoset => 1, + CacheEvaluationsMonomialsAndFriCosets => self.fri_lde_degree, + CacheEvaluationsAndAllCosets => self.max_lde_degree, + }; + let commitment_cosets_count = match self.commitment_cache.strategy { + CacheCosetCaps if !self.commitment_cache.tree.is_empty() => 0, + _ => self.fri_lde_degree, + }; + let cosets_count = usize::max(polynomials_cosets_count, commitment_cosets_count); + for coset_idx in 0..cosets_count { + let coset = match polynomials_strategy { + InPlace => Rc::into_inner(monomials.take().unwrap()) + .unwrap() + .into_coset_evaluations(coset_idx, self.max_lde_degree)?, + CacheMonomials | CacheEvaluationsAndMonomials => monomials + .as_ref() + .unwrap() + .create_coset_evaluations(coset_idx, self.max_lde_degree)?, + CacheMonomialsAndFirstCoset | CacheEvaluationsMonomialsAndFirstCoset + if coset_idx == 0 => + { + monomials.as_ref().unwrap().fill_coset_evaluations( + coset_idx, + self.max_lde_degree, + self.polynomials_cache.pop_storage(), + )? + } + CacheMonomialsAndFriCosets | CacheEvaluationsMonomialsAndFriCosets + if coset_idx < self.fri_lde_degree => + { + monomials.as_ref().unwrap().fill_coset_evaluations( + coset_idx, + self.max_lde_degree, + self.polynomials_cache.pop_storage(), + )? + } + CacheMonomialsAndFirstCoset + | CacheMonomialsAndFriCosets + | CacheEvaluationsMonomialsAndFirstCoset + | CacheEvaluationsMonomialsAndFriCosets => monomials + .as_ref() + .unwrap() + .create_coset_evaluations(coset_idx, self.max_lde_degree)?, + CacheEvaluationsAndAllCosets => { + if coset_idx + 1 == self.max_lde_degree { + Rc::into_inner(monomials.take().unwrap()) + .unwrap() + .into_coset_evaluations(coset_idx, self.max_lde_degree)? + } else { + monomials.as_ref().unwrap().fill_coset_evaluations( + coset_idx, + self.max_lde_degree, + self.polynomials_cache.pop_storage(), + )? + } + } + }; + if coset_idx < commitment_cosets_count { + self.commitment_cache + .initialize_for_chunk(coset_idx, &coset)?; + }; + match polynomials_strategy { + InPlace => { + monomials = Some(Rc::new( + coset.into_monomials(coset_idx, self.max_lde_degree)?, + )); + } + CacheMonomials | CacheEvaluationsAndMonomials => {} + CacheMonomialsAndFirstCoset | CacheEvaluationsMonomialsAndFirstCoset + if coset_idx == 0 => + { + self.polynomials_cache + .coset_evaluations + .insert(coset_idx, Rc::new(coset)); + } + CacheMonomialsAndFriCosets | CacheEvaluationsMonomialsAndFriCosets + if coset_idx < self.fri_lde_degree => + { + self.polynomials_cache + .coset_evaluations + .insert(coset_idx, Rc::new(coset)); + } + CacheMonomialsAndFirstCoset + | CacheMonomialsAndFriCosets + | CacheEvaluationsMonomialsAndFirstCoset + | CacheEvaluationsMonomialsAndFriCosets => {} + CacheEvaluationsAndAllCosets => { + self.polynomials_cache + .coset_evaluations + .insert(coset_idx, Rc::new(coset)); + } + }; + } + self.commitment_cache.build_tree()?; + match polynomials_strategy { + CacheEvaluationsAndAllCosets => {} + _ => { + self.polynomials_cache.monomials = Some(monomials.take().unwrap()); + } + }; + Ok(()) + } + + pub fn num_polys(&self) -> usize { + self.polynomials_cache.num_polys() + } + + pub fn get_evaluations(&mut self) -> CudaResult>> { + self.polynomials_cache.get_evaluations() + } + + pub fn get_monomials(&mut self) -> CudaResult>> { + self.polynomials_cache.get_monomials() + } + + pub fn get_coset_evaluations( + &mut self, + coset_idx: usize, + ) -> CudaResult>> { + self.polynomials_cache.get_coset_evaluations(coset_idx) + } + + pub fn get_coset_evaluations_subset( + &mut self, + coset_idx: usize, + subset: L::PolyType, + ) -> CudaResult>> { + self.polynomials_cache + .get_coset_evaluations_subset(coset_idx, subset) + } + + pub fn get_tree_cap(&mut self) -> Vec { + self.commitment_cache.get_tree_cap() + } + + pub fn batch_query_for_coset( + &mut self, + coset_idx: usize, + d_indexes: &DVec, + h_all_leaf_elems: &mut Vec, + h_all_proofs: &mut Vec, + ) -> CudaResult<()> { + self.commitment_cache.batch_query_for_chunk( + &mut self.polynomials_cache, + coset_idx, + d_indexes, h_all_leaf_elems, h_all_proofs, ) @@ -486,29 +725,33 @@ impl StorageCache { } #[derive(Clone, Copy, Debug, Hash, Eq, PartialEq, Ord, PartialOrd)] -pub(crate) struct CacheStrategy { - pub(crate) setup: StorageCacheStrategy, - pub(crate) trace: StorageCacheStrategy, - pub(crate) arguments: StorageCacheStrategy, +pub struct CacheStrategy { + pub setup_polynomials: PolynomialsCacheStrategy, + pub trace_polynomials: PolynomialsCacheStrategy, + pub other_polynomials: PolynomialsCacheStrategy, + pub commitment: CommitmentCacheStrategy, } impl CacheStrategy { pub(crate) fn get< - TR: Transcript, - H: TreeHasher, + TR: Transcript, + H: GpuTreeHasher, POW: PoWRunner, A: GoodAllocator, >( config: &GpuProofConfig, external_witness_data: &WitnessVec, proof_config: ProofConfig, - setup: &GpuSetup, + setup: &GpuSetup, vk: &VerificationKey, transcript_params: TR::TransciptParameters, worker: &Worker, ) -> CudaResult { let cap = &vk.setup_merkle_tree_cap; - if let Some(strategy) = _strategy_cache_get().get(cap) { + let mut hasher = DefaultHasher::new(); + Hash::hash_slice(cap, &mut hasher); + let cap_hash = hasher.finish(); + if let Some(strategy) = _strategy_cache_get().get(&cap_hash) { println!("reusing cache strategy"); Ok(*strategy) } else { @@ -533,7 +776,7 @@ impl CacheStrategy { match result { Ok(_) => { println!("determined cache strategy: {:?}", strategy); - _strategy_cache_get().insert(cap.clone(), strategy); + _strategy_cache_get().insert(cap_hash, strategy); return Ok(strategy); } Err(ErrorMemoryAllocation) => { @@ -546,15 +789,15 @@ impl CacheStrategy { } } - pub(crate) fn get_strategy_candidates( + pub(crate) fn get_strategy_candidates( config: &GpuProofConfig, proof_config: &ProofConfig, - setup: &GpuSetup, + setup: &GpuSetup, geometry: &VerificationKeyCircuitGeometry, ) -> Vec<((usize, usize), CacheStrategy)> { let fri_lde_degree = proof_config.fri_lde_factor; - let quotient_degree = compute_quotient_degree(&config, &setup.selectors_placement); - let used_lde_degree = usize::max(quotient_degree, fri_lde_degree); + let quotient_degree = compute_quotient_degree(config, &setup.selectors_placement); + let max_lde_degree = usize::max(quotient_degree, fri_lde_degree); let setup_layout = setup.layout; let domain_size = geometry.domain_size as usize; let lookup_parameters = geometry.lookup_parameters; @@ -571,10 +814,12 @@ impl CacheStrategy { quotient_degree, geometry.lookup_parameters, ); + let quotient_layout = QuotientLayout::new(quotient_degree); let setup_num_polys = setup_layout.num_polys(); let trace_num_polys = trace_layout.num_polys(); - let arguments_num_polys = arguments_layout.num_polys(); - let setup_strategies = [ + let other_num_polys = arguments_layout.num_polys() + quotient_layout.num_polys(); + let commitments_cache_strategies = [CacheAllLayers, CacheCosetCaps]; + let setup_polynomials_strategies = [ InPlace, CacheMonomials, CacheMonomialsAndFirstCoset, @@ -584,34 +829,42 @@ impl CacheStrategy { CacheEvaluationsMonomialsAndFriCosets, CacheEvaluationsAndAllCosets, ]; - let trace_and_arguments_strategies = [ + let other_polynomials_strategies = [ InPlace, CacheMonomials, CacheMonomialsAndFirstCoset, CacheMonomialsAndFriCosets, ]; let mut strategies = Vec::new(); - for setup_strategy in setup_strategies.iter().copied() { - for trace_strategy in trace_and_arguments_strategies.iter().copied() { - for arguments_strategy in trace_and_arguments_strategies.iter().copied() { - let strategy = Self { - setup: setup_strategy, - trace: trace_strategy, - arguments: arguments_strategy, + for commitment_strategy in commitments_cache_strategies.iter().copied() { + for setup_strategy in setup_polynomials_strategies.iter().copied() { + for other_strategies in (0..2) + .map(|_| other_polynomials_strategies.iter().cloned()) + .multi_cartesian_product() + { + let strategy = CacheStrategy { + setup_polynomials: setup_strategy, + trace_polynomials: other_strategies[0], + other_polynomials: other_strategies[1], + commitment: commitment_strategy, }; let setup_cost = - strategy.get_setup_cost(fri_lde_degree, used_lde_degree) * setup_num_polys; + strategy.get_setup_cost(fri_lde_degree, max_lde_degree) * setup_num_polys; let proof_cost_setup = strategy - .get_proof_cost_setup(fri_lde_degree, used_lde_degree) + .get_proof_cost_setup(fri_lde_degree, max_lde_degree) * setup_num_polys; let proof_cost_trace = strategy - .get_proof_cost_trace(fri_lde_degree, used_lde_degree) + .get_proof_cost_trace(fri_lde_degree, max_lde_degree) * trace_num_polys; - let proof_cost_arguments = strategy - .get_proof_cost_arguments(fri_lde_degree, used_lde_degree) - * arguments_num_polys; - let proof_cost = proof_cost_setup + proof_cost_trace + proof_cost_arguments; - strategies.push(((proof_cost, setup_cost), strategy)); + let proof_cost_other = strategy + .get_proof_cost_other(fri_lde_degree, max_lde_degree) + * other_num_polys; + let proof_cost = proof_cost_setup + proof_cost_trace + proof_cost_other; + let costs = match commitment_strategy { + CacheAllLayers => (proof_cost, setup_cost), + CacheCosetCaps => (proof_cost << 16, setup_cost << 16), + }; + strategies.push((costs, strategy)); } } } @@ -619,10 +872,10 @@ impl CacheStrategy { strategies } - fn get_setup_cost(&self, fri_lde_degree: usize, used_lde_degree: usize) -> usize { + fn get_setup_cost(&self, fri_lde_degree: usize, max_lde_degree: usize) -> usize { let f = fri_lde_degree; - let u = used_lde_degree; - match self.setup { + let u = max_lde_degree; + match self.setup_polynomials { InPlace => 1 + 2 * f, CacheMonomials | CacheMonomialsAndFirstCoset @@ -634,10 +887,10 @@ impl CacheStrategy { } } - fn get_proof_cost_setup(&self, fri_lde_degree: usize, used_lde_degree: usize) -> usize { + fn get_proof_cost_setup(&self, fri_lde_degree: usize, max_lde_degree: usize) -> usize { let f = fri_lde_degree; - let u = used_lde_degree; - match self.setup { + let u = max_lde_degree; + match self.setup_polynomials { InPlace => 2 + 2 * u + 2 + 2 * (f - 1) + 2 * f, CacheMonomials => 1 + u + 1 + f + f, CacheMonomialsAndFirstCoset => 1 + u - 1 + f - 1 + f - 1, @@ -649,10 +902,10 @@ impl CacheStrategy { } } - fn get_proof_cost_trace(&self, fri_lde_degree: usize, used_lde_degree: usize) -> usize { + fn get_proof_cost_trace(&self, fri_lde_degree: usize, max_lde_degree: usize) -> usize { let f = fri_lde_degree; - let u = used_lde_degree; - match self.trace { + let u = max_lde_degree; + match self.trace_polynomials { InPlace => 1 + 2 * f + 1 + 2 * u + 2 + 2 * (f - 1) + 2 * f, CacheMonomials => 1 + f + u + 1 + f + f, CacheMonomialsAndFirstCoset => 1 + f + u - 1 + f - 1 + f - 1, @@ -664,10 +917,10 @@ impl CacheStrategy { } } - fn get_proof_cost_arguments(&self, fri_lde_degree: usize, used_lde_degree: usize) -> usize { + fn get_proof_cost_other(&self, fri_lde_degree: usize, max_lde_degree: usize) -> usize { let f = fri_lde_degree; - let u = used_lde_degree; - match self.arguments { + let u = max_lde_degree; + match self.other_polynomials { InPlace => 1 + 2 * f + 2 * u - 1 + 1 + 1 + 2 * (f - 1) + 2 * f, CacheMonomials => 1 + f + u + 1 + f + f, CacheMonomialsAndFirstCoset => 1 + f + u - 1 + f - 1 + f - 1, diff --git a/crates/shivini/src/data_structures/mod.rs b/crates/shivini/src/data_structures/mod.rs index 56d9cee..42fe747 100644 --- a/crates/shivini/src/data_structures/mod.rs +++ b/crates/shivini/src/data_structures/mod.rs @@ -12,15 +12,19 @@ pub use setup::*; mod arguments; pub use arguments::*; +mod quotient; +pub use quotient::*; + mod cache; pub use cache::*; -mod tree; -pub use tree::*; - pub trait AsSingleSlice { fn domain_size(&self) -> usize; fn num_polys(&self) -> usize; + fn num_polys_in_base(&self) -> usize { + self.len() / self.domain_size() + } + fn as_single_slice(&self) -> &[F]; fn as_single_slice_mut(&mut self) -> &mut [F] { unreachable!() @@ -31,14 +35,12 @@ pub trait AsSingleSlice { } pub(crate) fn coset_cap_size(cap_size: usize, lde_degree: usize) -> usize { - let coset_cap_size = if cap_size < lde_degree { + if cap_size < lde_degree { 1 } else { assert!(cap_size.is_power_of_two()); 1 << (cap_size.trailing_zeros() - lde_degree.trailing_zeros()) - }; - - coset_cap_size + } } // (slice, domain size, num polys) diff --git a/crates/shivini/src/data_structures/quotient.rs b/crates/shivini/src/data_structures/quotient.rs new file mode 100644 index 0000000..6ce2f6b --- /dev/null +++ b/crates/shivini/src/data_structures/quotient.rs @@ -0,0 +1,83 @@ +use super::*; +use crate::data_structures::AsSingleSlice; +use crate::poly::CosetEvaluations; +use era_cudart::result::CudaResult; +use std::ops::Range; + +#[derive(Copy, Clone, Debug, Eq, PartialEq)] +pub enum QuotientPolyType { + Quotient, +} + +#[derive(Copy, Clone, Debug, Eq, PartialEq)] +pub struct QuotientLayout { + pub num_quotient_polys: usize, +} + +impl QuotientLayout { + pub fn new(quotient_degree: usize) -> Self { + Self { + num_quotient_polys: quotient_degree << 1, + } + } + + pub fn num_polys(&self) -> usize { + self.num_quotient_polys + } +} + +impl GenericPolynomialStorageLayout for QuotientLayout { + type PolyType = QuotientPolyType; + + fn num_polys(&self) -> usize { + self.num_polys() + } + + fn poly_range(&self, _poly_type: Self::PolyType) -> (Range, Self) { + let num_quotient_polys = self.num_quotient_polys; + (0..num_quotient_polys, QuotientLayout { num_quotient_polys }) + } +} + +pub type GenericQuotientStorage

= GenericStorage; + +pub struct QuotientPolynomials<'a, P: PolyForm> { + pub quotient_polys: Vec>, +} + +impl<'a, P: PolyForm> QuotientPolynomials<'a, P> { + pub fn new(polynomials: Vec>, layout: QuotientLayout) -> Self { + let QuotientLayout { num_quotient_polys } = layout; + assert_eq!(num_quotient_polys % 2, 0); + let num_quotient_polys = num_quotient_polys / 2; + assert_eq!(num_quotient_polys, polynomials.len()); + Self { + quotient_polys: polynomials, + } + } +} + +impl GenericQuotientStorage

{ + pub fn as_polynomials(&self) -> QuotientPolynomials

{ + let layout = self.layout; + let polynomials = self.as_complex_polys(); + QuotientPolynomials::new(polynomials, layout) + } + + pub fn as_polynomials_mut(&mut self) -> QuotientPolynomials

{ + let layout = self.layout; + let polynomials = self.as_complex_polys_mut(); + QuotientPolynomials::new(polynomials, layout) + } +} + +impl GenericQuotientStorage { + pub(crate) fn barycentric_evaluate( + &self, + bases: &PrecomputedBasisForBarycentric, + ) -> CudaResult> { + batch_barycentric_evaluate_ext(self, bases, self.domain_size(), self.num_polys() / 2) + } +} + +pub type QuotientCache = StorageCache; diff --git a/crates/shivini/src/data_structures/setup.rs b/crates/shivini/src/data_structures/setup.rs index 65490f8..069ff46 100644 --- a/crates/shivini/src/data_structures/setup.rs +++ b/crates/shivini/src/data_structures/setup.rs @@ -1,16 +1,14 @@ -use boojum::cs::{implementations::polynomial_storage::SetupBaseStorage, oracle::TreeHasher}; -use boojum::worker::Worker; -use std::ops::Range; - +use super::*; use crate::cs::{ materialize_permutation_cols_from_indexes_into, GpuSetup, PACKED_PLACEHOLDER_BITMASK, }; -use crate::data_structures::cache::{StorageCache, StorageCacheStrategy}; +use crate::data_structures::cache::{PolynomialsCacheStrategy, StorageCache}; use crate::primitives::helpers::set_by_value; +use boojum::cs::implementations::polynomial_storage::SetupBaseStorage; +use boojum::worker::Worker; +use std::ops::Range; +use std::rc::Rc; -use super::*; - -#[allow(dead_code)] #[derive(Copy, Clone, Debug, Eq, PartialEq)] pub enum SetupPolyType { Permutation, @@ -26,7 +24,7 @@ pub struct SetupLayout { } impl SetupLayout { - pub fn from_setup(setup: &GpuSetup) -> Self { + pub fn from_setup(setup: &GpuSetup) -> Self { assert!(!setup.variables_hint.is_empty()); assert!(!setup.constant_columns.is_empty()); Self { @@ -55,7 +53,7 @@ impl SetupLayout { } } -impl GenericStorageLayout for SetupLayout { +impl GenericPolynomialStorageLayout for SetupLayout { type PolyType = SetupPolyType; fn num_polys(&self) -> usize { @@ -92,6 +90,12 @@ impl GenericStorageLayout for SetupLayout { } } +pub struct SetupPolynomials<'a, P: PolyForm> { + pub permutation_cols: Vec>, + pub constant_cols: Vec>, + pub table_cols: Vec>, +} + pub type GenericSetupStorage

= GenericStorage; impl GenericSetupStorage

{ @@ -129,63 +133,27 @@ impl GenericSetupStorage

{ } } -impl<'a> LeafSourceQuery for SetupPolynomials<'a, CosetEvaluations> { - fn get_leaf_sources( - &self, - _coset_idx: usize, - _domain_size: usize, - _lde_degree: usize, - row_idx: usize, - _: usize, - ) -> CudaResult> { - let mut leaf_sources = vec![]; - - for col in self.permutation_cols.iter() { - let el = col.storage.clone_el_to_host(row_idx)?; - leaf_sources.push(el); - } - - for col in self.constant_cols.iter() { - let el = col.storage.clone_el_to_host(row_idx)?; - leaf_sources.push(el); - } - - for col in self.table_cols.iter() { - let el = col.storage.clone_el_to_host(row_idx)?; - leaf_sources.push(el); - } - - Ok(leaf_sources) - } -} - -pub struct SetupPolynomials<'a, P: PolyForm> { - pub permutation_cols: Vec>, - pub constant_cols: Vec>, - pub table_cols: Vec>, -} - -impl GenericSetupStorage { - pub fn fill_from_gpu_setup( - setup: &GpuSetup, +impl GenericSetupStorage { + pub fn initialize_from_gpu_setup( + mut self, + setup: &GpuSetup, variable_indexes: &DVec, worker: &Worker, - mut storage: GenericSetupStorage, - ) -> CudaResult { + ) -> CudaResult> { let GpuSetup { constant_columns, lookup_tables_columns, variables_hint, .. } = setup; - let domain_size = storage.domain_size(); + let domain_size = self.domain_size(); assert!(domain_size.is_power_of_two()); for col in constant_columns.iter().chain(lookup_tables_columns.iter()) { assert_eq!(col.len(), domain_size); } let num_copy_permutation_polys = variables_hint.len(); let size_of_all_copy_perm_polys = num_copy_permutation_polys * domain_size; - let (copy_permutation_storage, remaining_polys) = storage + let (copy_permutation_storage, remaining_polys) = self .as_single_slice_mut() .split_at_mut(size_of_all_copy_perm_polys); assert_eq!( @@ -207,30 +175,34 @@ impl GenericSetupStorage { } get_h2d_stream().synchronize()?; drop(pending_callbacks); - let result = unsafe { storage.transmute() }; + let result = unsafe { self.transmute() }; Ok(result) } +} - pub fn create_from_gpu_setup( - setup: &GpuSetup, +impl GenericSetupStorage { + pub fn create_from_gpu_setup( + setup: &GpuSetup, variable_indexes: &DVec, worker: &Worker, ) -> CudaResult { - let layout = setup.layout.clone(); + let layout = setup.layout; let domain_size = setup.constant_columns[0].len(); let storage = GenericSetupStorage::allocate(layout, domain_size); - Self::fill_from_gpu_setup(setup, variable_indexes, worker, storage) + storage.initialize_from_gpu_setup(setup, variable_indexes, worker) } - #[cfg(test)] - pub fn from_gpu_setup(setup: &GpuSetup, worker: &Worker) -> CudaResult { - let layout = setup.layout.clone(); + pub fn from_gpu_setup( + setup: &GpuSetup, + worker: &Worker, + ) -> CudaResult { + let layout = setup.layout; let domain_size = setup.constant_columns[0].len(); assert!(domain_size.is_power_of_two()); let variable_indexes = construct_indexes_from_hint(&setup.variables_hint, domain_size, worker)?; let storage = GenericSetupStorage::allocate(layout, domain_size); - Self::fill_from_gpu_setup(setup, &variable_indexes, worker, storage) + storage.initialize_from_gpu_setup(setup, &variable_indexes, worker) } #[cfg(test)] @@ -290,13 +262,12 @@ impl GenericSetupStorage { } pub struct SetupCacheAux { - tree_cap: Vec<>::Output>, pub variable_indexes: DVec, pub witness_indexes: DVec, } pub fn construct_indexes_from_hint( - hint: &Vec>, + hint: &[Vec], domain_size: usize, worker: &Worker, ) -> CudaResult> { @@ -316,57 +287,58 @@ pub fn construct_indexes_from_hint( Ok(indexes) } -pub type SetupCache = StorageCache; +pub type SetupCache = StorageCache; -impl SetupCache { - pub fn new_from_gpu_setup( - strategy: StorageCacheStrategy, - setup: &GpuSetup, +impl SetupCache { + pub fn new_from_gpu_setup( + polynomials_strategy: PolynomialsCacheStrategy, + commitments_strategy: CommitmentCacheStrategy, + setup: &GpuSetup, fri_lde_degree: usize, - used_lde_degree: usize, + max_lde_degree: usize, worker: &Worker, ) -> CudaResult<&'static mut Self> { - let setup_tree_cap = setup.setup_tree.get_cap(); + let setup_cap = setup.tree.last().unwrap(); if let Some(cache) = _setup_cache_get() { - if cache.aux.tree_cap.eq(&setup_tree_cap) { + if cache.commitment_cache.tree.last().unwrap().eq(setup_cap) { assert_eq!(cache.fri_lde_degree, fri_lde_degree); - assert_eq!(cache.used_lde_degree, used_lde_degree); - assert_eq!(cache.layout, setup.layout); + assert_eq!(cache.max_lde_degree, max_lde_degree); + assert_eq!(cache.polynomials_cache.layout, setup.layout); println!("reusing setup cache"); return Ok(cache); } - _setup_cache_reset(); } + _setup_cache_reset(); let layout = setup.layout; let domain_size = setup.constant_columns[0].len(); assert!(domain_size.is_power_of_two()); - let cap_size = setup.setup_tree.cap_size; + let cap_size = setup_cap.len(); let variable_indexes = construct_indexes_from_hint(&setup.variables_hint, domain_size, worker)?; let witness_indexes = construct_indexes_from_hint(&setup.witnesses_hint, domain_size, worker)?; - let evaluations = - GenericSetupStorage::create_from_gpu_setup(setup, &variable_indexes, worker)?; let aux = SetupCacheAux { - tree_cap: setup_tree_cap, variable_indexes, witness_indexes, }; - let mut cache = StorageCache::new_and_initialize( - strategy, + let mut cache = SetupCache::allocate( + polynomials_strategy, + commitments_strategy, layout, domain_size, fri_lde_degree, - used_lde_degree, + max_lde_degree, cap_size, + 1, aux, - evaluations, - )?; - let (_, computed_cap) = cache.get_commitment::(cap_size)?; - if !is_dry_run()? { - assert_eq!(cache.aux.tree_cap, computed_cap); - } - _setup_cache_set(cache); + ); + cache.commitment_cache.tree = setup.tree.clone(); + let evaluations = cache + .polynomials_cache + .borrow_storage() + .initialize_from_gpu_setup(setup, &cache.aux.variable_indexes, worker)?; + cache.initialize_from_evaluations(Rc::new(evaluations))?; + _setup_cache_set::(cache); Ok(_setup_cache_get().unwrap()) } } diff --git a/crates/shivini/src/data_structures/storage.rs b/crates/shivini/src/data_structures/storage.rs index f0d4e54..8863c2b 100644 --- a/crates/shivini/src/data_structures/storage.rs +++ b/crates/shivini/src/data_structures/storage.rs @@ -4,13 +4,13 @@ use std::marker::PhantomData; use std::ops::Range; use std::rc::Rc; -pub trait GenericStorageLayout: Debug + Copy + Clone + Eq + PartialEq { +pub trait GenericPolynomialStorageLayout: Debug + Copy + Clone + Eq + PartialEq { type PolyType: Copy + Clone; fn num_polys(&self) -> usize; fn poly_range(&self, poly_type: Self::PolyType) -> (Range, Self); } -impl GenericStorageLayout for usize { +impl GenericPolynomialStorageLayout for usize { type PolyType = (); fn num_polys(&self) -> usize { @@ -23,7 +23,7 @@ impl GenericStorageLayout for usize { } #[derive(Clone)] -pub struct GenericStorage { +pub struct GenericStorage { pub(crate) inner: DVec, pub(crate) layout: L, pub(crate) num_polys: usize, @@ -31,7 +31,7 @@ pub struct GenericStorage { poly_form: PhantomData

, } -impl AsSingleSlice for GenericStorage { +impl AsSingleSlice for GenericStorage { fn domain_size(&self) -> usize { self.domain_size } @@ -49,7 +49,7 @@ impl AsSingleSlice for GenericStorage GenericStorage { +impl GenericStorage { pub fn new(inner: DVec, layout: L, domain_size: usize) -> Self { let num_polys = layout.num_polys(); assert_eq!(inner.len(), num_polys * domain_size); @@ -77,8 +77,7 @@ impl GenericStorage { let poly = Poly::from(chunk); polynomials.push(poly) } - let new = GenericPolynomialStorage { polynomials }; - new + GenericPolynomialStorage { polynomials } } pub fn as_polys(&self) -> Vec> { @@ -88,7 +87,6 @@ impl GenericStorage { .collect() } - #[allow(dead_code)] pub fn as_polys_mut(&mut self) -> Vec> { self.inner .chunks_mut(self.domain_size) @@ -145,7 +143,7 @@ impl GenericStorage { } } -impl GenericStorage { +impl GenericStorage { pub fn allocate(layout: L, domain_size: usize) -> Self { let num_polys = layout.num_polys(); let inner = dvec!(num_polys * domain_size); @@ -153,7 +151,7 @@ impl GenericStorage { } } -impl GenericStorage { +impl GenericStorage { pub fn into_monomials(mut self) -> CudaResult> { let domain_size = self.domain_size; let num_polys = self.num_polys; @@ -193,14 +191,13 @@ impl GenericStorage { Ok(result) } - #[allow(dead_code)] pub fn create_monomials(&self) -> CudaResult> { let storage = GenericStorage::allocate(self.layout, self.domain_size); self.fill_monomials(storage) } } -impl GenericStorage { +impl GenericStorage { pub fn into_evaluations(mut self) -> CudaResult> { let domain_size = self.domain_size; let num_polys = self.num_polys; @@ -332,7 +329,7 @@ impl GenericStorage { } } -impl GenericStorage { +impl GenericStorage { pub fn into_monomials( mut self, coset_idx: usize, @@ -379,27 +376,27 @@ impl GenericStorage { self.fill_monomials(coset_idx, lde_degree, storage) } - pub fn build_subtree_for_coset( + pub fn build_subtree_for_coset( &self, cap_size: usize, - coset_idx: usize, - mut nodes: DVec, - ) -> CudaResult<(SubTree, Vec<[F; 4]>)> { + mut nodes: DVec, + ) -> CudaResult<(SubTree, Vec)> { let domain_size = self.domain_size(); let leaf_sources = self.as_single_slice(); - let subtree_root = compute_tree_cap(leaf_sources, &mut nodes, domain_size, cap_size, 1)?; - let subtree = SubTree::new(Rc::new(nodes), domain_size, cap_size, coset_idx); + let subtree_root = + compute_tree_cap::(leaf_sources, &mut nodes, domain_size, cap_size, 1)?; + let subtree = SubTree::new(Rc::new(nodes), domain_size, cap_size); Ok((subtree, subtree_root)) } } -impl AsMut> for GenericStorage { +impl AsMut> for GenericStorage { fn as_mut(&mut self) -> &mut DVec { &mut self.inner } } -impl AsRef> for GenericStorage { +impl AsRef> for GenericStorage { fn as_ref(&self) -> &DVec { &self.inner } @@ -410,14 +407,12 @@ pub struct GenericPolynomialStorage<'a, P: PolyForm> { } impl<'a, P: PolyForm> GenericPolynomialStorage<'a, P> { - #[allow(dead_code)] pub fn allocate(num_polys: usize, domain_size: usize) -> CudaResult { let storage = GenericStorage::allocate(num_polys, domain_size); let storage = unsafe { storage.transmute() }; Ok(storage.into_poly_storage()) } - #[allow(dead_code)] pub fn num_polys(&self) -> usize { self.polynomials.len() } @@ -455,27 +450,6 @@ pub struct GenericComplexPolynomialStorage<'a, P: PolyForm> { pub polynomials: Vec>, } -impl<'a> LeafSourceQuery for GenericComplexPolynomialStorage<'a, CosetEvaluations> { - fn get_leaf_sources( - &self, - _coset_idx: usize, - _lde_degree: usize, - _domain_size: usize, - row_idx: usize, - _: usize, - ) -> CudaResult> { - let mut leaf_sources = vec![]; - for p in self.polynomials.iter() { - let el = p.c0.storage.clone_el_to_host(row_idx)?; - leaf_sources.push(el); - let el = p.c1.storage.clone_el_to_host(row_idx)?; - leaf_sources.push(el); - } - assert_eq!(leaf_sources.len(), 2 * self.polynomials.len()); - Ok(leaf_sources) - } -} - impl<'a, P: PolyForm> AsSingleSlice for GenericComplexPolynomialStorage<'a, P> { fn domain_size(&self) -> usize { self.polynomials[0].domain_size() @@ -513,55 +487,19 @@ impl<'a, P: PolyForm> GenericComplexPolynomialStorage<'a, P> { let storage = unsafe { storage.transmute() }; storage.into_complex_poly_storage() } - - fn num_polys(&self) -> usize { - self.polynomials.len() - } -} - -impl<'a> GenericComplexPolynomialStorage<'a, MonomialBasis> { - pub fn into_coset_eval<'b>( - &self, - coset_idx: usize, - lde_degree: usize, - result: &mut GenericComplexPolynomialStorage<'b, CosetEvaluations>, - ) -> CudaResult<()> { - let num_polys = self.polynomials.len(); - let domain_size = self.polynomials[0].domain_size(); - let num_coset_ffts = 2 * num_polys; - ntt::batch_coset_ntt_into( - self.as_single_slice(), - result.as_single_slice_mut(), - coset_idx, - domain_size, - lde_degree, - num_coset_ffts, - )?; - - Ok(()) - } } impl<'a> GenericComplexPolynomialStorage<'a, CosetEvaluations> { - pub fn build_subtree_for_coset( + pub fn build_subtree_for_coset( &self, cap_size: usize, - coset_idx: usize, - ) -> CudaResult<(SubTree, Vec<[F; 4]>)> { + ) -> CudaResult<(SubTree, Vec)> { let domain_size = self.polynomials[0].domain_size(); let leaf_sources = self.as_single_slice(); - let mut subtree = dvec!(2 * NUM_EL_PER_HASH * domain_size); - primitives::tree::build_tree(leaf_sources, &mut subtree, domain_size, cap_size, 1)?; - let subtree_root = get_tree_cap_from_nodes(&subtree, cap_size)?; - let subtree = SubTree::new(Rc::new(subtree), domain_size, cap_size, coset_idx); - + let mut subtree = dvec!(2 * H::CAPACITY * domain_size); + tree::build_tree::(leaf_sources, &mut subtree, domain_size, cap_size, 1)?; + let subtree_root = get_tree_cap_from_nodes::(&subtree, cap_size)?; + let subtree = SubTree::new(Rc::new(subtree), domain_size, cap_size); Ok((subtree, subtree_root)) } - - pub(crate) fn barycentric_evaluate( - &self, - bases: &PrecomputedBasisForBarycentric, - ) -> CudaResult> { - batch_barycentric_evaluate_ext(self, bases, self.domain_size(), self.num_polys()) - } } diff --git a/crates/shivini/src/data_structures/trace.rs b/crates/shivini/src/data_structures/trace.rs index 965c6aa..baff5cd 100644 --- a/crates/shivini/src/data_structures/trace.rs +++ b/crates/shivini/src/data_structures/trace.rs @@ -1,3 +1,4 @@ +use super::*; use boojum::{ cs::{implementations::witness::WitnessVec, traits::GoodAllocator, LookupParameters}, field::U64Representable, @@ -6,12 +7,9 @@ use boojum::{ use era_cudart::slice::CudaSlice; use std::ops::Range; -use super::*; - use crate::cs::variable_assignment; use crate::data_structures::cache::StorageCache; -#[allow(dead_code)] #[derive(Copy, Clone, Debug, Eq, PartialEq)] pub enum TracePolyType { Variable, @@ -26,7 +24,7 @@ pub struct TraceLayout { pub num_multiplicity_cols: usize, } -impl GenericStorageLayout for TraceLayout { +impl GenericPolynomialStorageLayout for TraceLayout { type PolyType = TracePolyType; fn num_polys(&self) -> usize { @@ -65,44 +63,6 @@ impl GenericStorageLayout for TraceLayout { pub type GenericTraceStorage

= GenericStorage; -impl<'a> LeafSourceQuery for TracePolynomials<'a, CosetEvaluations> { - fn get_leaf_sources( - &self, - _coset_idx: usize, - _lde_degree: usize, - _domain_size: usize, - row_idx: usize, - _: usize, - ) -> CudaResult> { - let TracePolynomials { - variable_cols, - witness_cols, - multiplicity_cols, - } = self; - - let num_polys = variable_cols.len() + witness_cols.len() + multiplicity_cols.len(); - - let mut leaf_sources = Vec::with_capacity(num_polys); - for col in variable_cols.iter() { - let el = col.storage.clone_el_to_host(row_idx)?; - leaf_sources.push(el); - } - - for col in witness_cols.iter() { - let el = col.storage.clone_el_to_host(row_idx)?; - leaf_sources.push(el); - } - - for col in multiplicity_cols.iter() { - let el = col.storage.clone_el_to_host(row_idx)?; - leaf_sources.push(el); - } - assert_eq!(leaf_sources.len(), num_polys); - - Ok(leaf_sources) - } -} - pub struct TracePolynomials<'a, P: PolyForm> { pub variable_cols: Vec>, pub witness_cols: Vec>, @@ -153,7 +113,7 @@ impl GenericTraceStorage { worker: &Worker, mut storage: GenericTraceStorage, ) -> CudaResult { - let trace_layout = storage.layout.clone(); + let trace_layout = storage.layout; let num_polys = storage.num_polys(); let domain_size = storage.domain_size(); let TraceLayout { @@ -171,7 +131,7 @@ impl GenericTraceStorage { } = witness_data; let mut d_variable_values = dvec!(all_values.len()); let pending_callbacks = - mem::h2d_buffered(&all_values, &mut d_variable_values, domain_size / 2, worker)?; + mem::h2d_buffered(all_values, &mut d_variable_values, domain_size / 2, worker)?; get_h2d_stream().synchronize()?; drop(pending_callbacks); let remaining_raw_storage = storage.as_single_slice_mut(); @@ -197,7 +157,7 @@ impl GenericTraceStorage { ); let num_actual_multiplicities = multiplicities.len(); // we receive witness data from network so that they are minimal in size - // and may needs padding + // and may need padding assert!(num_actual_multiplicities <= multiplicities_raw_storage.len()); let mut transformed_multiplicities = vec![F::ZERO; num_actual_multiplicities]; if !is_dry_run()? { @@ -244,4 +204,4 @@ impl GenericTraceStorage { } } -pub type TraceCache = StorageCache; +pub type TraceCache = StorageCache; diff --git a/crates/shivini/src/data_structures/tree.rs b/crates/shivini/src/data_structures/tree.rs deleted file mode 100644 index 9e9d1bf..0000000 --- a/crates/shivini/src/data_structures/tree.rs +++ /dev/null @@ -1,135 +0,0 @@ -use std::collections::HashMap; - -use boojum::cs::oracle::merkle_tree::MerkleTreeWithCap; - -use super::*; - -#[derive(Clone, Debug, Eq, PartialEq, Hash)] -enum OracleType { - Trace, - Argument, - Quotient, - Setup, -} - -impl OracleType { - pub fn to_str(&self) -> &str { - match self { - OracleType::Trace => "Trace", - OracleType::Argument => "Argument", - OracleType::Quotient => "Quotient", - OracleType::Setup => "Setup", - } - } -} - -#[allow(dead_code)] -pub struct TreeCache { - folding_schedule: Vec, - fri_lde_degree: usize, - trace_subtrees: Vec, - argument_subtrees: Vec, - setup_subtrees: Vec, - quotient_subtrees: Vec, - storage: HashMap>, -} - -impl TreeCache { - pub fn empty(fri_lde_degree: usize) -> Self { - assert!(fri_lde_degree.is_power_of_two()); - Self { - folding_schedule: vec![], - fri_lde_degree, - trace_subtrees: vec![], - argument_subtrees: vec![], - setup_subtrees: vec![], - quotient_subtrees: vec![], - storage: HashMap::new(), - } - } - - pub fn set_trace_subtrees(&mut self, subtrees: Vec) { - assert_eq!(subtrees.len(), self.fri_lde_degree); - assert!(self.storage.insert(OracleType::Trace, subtrees).is_none()) - } - - #[allow(dead_code)] - pub fn get_trace_subtrees(&self) -> &Vec { - self.get(OracleType::Trace) - } - - #[allow(dead_code)] - pub fn get_trace_subtree(&self, coset_idx: usize) -> &SubTree { - self.get_coset_subtree(OracleType::Trace, coset_idx) - } - - pub fn set_argument_subtrees(&mut self, subtrees: Vec) { - assert_eq!(subtrees.len(), self.fri_lde_degree); - assert!(self - .storage - .insert(OracleType::Argument, subtrees) - .is_none()) - } - - #[allow(dead_code)] - pub fn get_argument_subtrees(&self) -> &Vec { - self.get(OracleType::Argument) - } - - #[allow(dead_code)] - pub fn get_argument_subtree(&self, coset_idx: usize) -> &SubTree { - self.get_coset_subtree(OracleType::Argument, coset_idx) - } - - #[allow(dead_code)] - pub fn set_setup_tree_from_host_data( - &mut self, - _setup_tree: &MerkleTreeWithCap, - ) { - unimplemented!() - } - - pub fn setup_setup_subtrees(&mut self, subtrees: Vec) { - assert_eq!(subtrees.len(), self.fri_lde_degree); - assert!(self.storage.insert(OracleType::Setup, subtrees).is_none()) - } - - #[allow(dead_code)] - pub fn get_setup_subtrees(&self) -> &Vec { - self.get(OracleType::Setup) - } - - #[allow(dead_code)] - pub fn get_setup_subtree(&self, coset_idx: usize) -> &SubTree { - self.get_coset_subtree(OracleType::Setup, coset_idx) - } - - pub fn set_quotient_subtrees(&mut self, subtrees: Vec) { - assert_eq!(subtrees.len(), self.fri_lde_degree); - assert!(self - .storage - .insert(OracleType::Quotient, subtrees) - .is_none()) - } - - #[allow(dead_code)] - pub fn get_quotient_subtrees(&self) -> &Vec { - self.get(OracleType::Quotient) - } - - pub fn get_quotient_subtree(&self, coset_idx: usize) -> &SubTree { - self.get_coset_subtree(OracleType::Quotient, coset_idx) - } - - fn get_coset_subtree(&self, key: OracleType, coset_idx: usize) -> &SubTree { - &self - .storage - .get(&key) - .and_then(|oracle| oracle.get(coset_idx)) - .expect(key.to_str()) - } - - fn get(&self, key: OracleType) -> &Vec { - &self.storage.get(&key).expect(key.to_str()) - } -} diff --git a/crates/shivini/src/dvec.rs b/crates/shivini/src/dvec.rs index 35dab20..276ad45 100644 --- a/crates/shivini/src/dvec.rs +++ b/crates/shivini/src/dvec.rs @@ -4,9 +4,9 @@ use std::{ slice::{ChunksExact, ChunksExactMut, ChunksMut}, }; -use boojum::field::U64RawRepresentable; - use super::*; +use boojum::field::U64RawRepresentable; +use era_cudart::slice::DeviceSlice; #[derive(Debug)] pub struct DVec { @@ -22,26 +22,26 @@ impl Default for DVec { impl Clone for DVec { fn clone(&self) -> Self { let mut new = dvec!(self.len()); - new.copy_from_device_slice(&self).unwrap(); + new.copy_from_device_slice(self).unwrap(); new } } impl DVec { - pub fn chunks<'a>(&'a self, chunk_size: usize) -> Chunks<'a, T> { + pub fn chunks(&self, chunk_size: usize) -> Chunks { self.data.chunks(chunk_size) } - pub fn chunks_mut<'a>(&'a mut self, chunk_size: usize) -> ChunksMut<'a, T> { + pub fn chunks_mut(&mut self, chunk_size: usize) -> ChunksMut { self.data.chunks_mut(chunk_size) } - pub fn chunks_exact<'a>(&'a self, chunk_size: usize) -> ChunksExact<'a, T> { + pub fn chunks_exact(&self, chunk_size: usize) -> ChunksExact { self.data.chunks_exact(chunk_size) } - pub fn chunks_exact_mut<'a>(&'a mut self, chunk_size: usize) -> ChunksExactMut<'a, T> { + pub fn chunks_exact_mut(&mut self, chunk_size: usize) -> ChunksExactMut { self.data.chunks_exact_mut(chunk_size) } @@ -179,15 +179,15 @@ impl DVec { data: Vec::with_capacity_in(0, alloc), }; } - // Allocator itself can handle padding but it is okey to do padding here, + // Allocator itself can handle padding, but it is ok to do padding here, // since DVec is the entrypoint of the all allocations in gpu memory - let cap_in_bytes = cap * std::mem::size_of::(); + let cap_in_bytes = cap * size_of::(); let block_size_in_bytes = _alloc().block_size_in_bytes(); let padded_cap_in_bytes = calculate_padded_capacity(cap_in_bytes, block_size_in_bytes); assert_eq!(padded_cap_in_bytes % block_size_in_bytes, 0); - assert_eq!(padded_cap_in_bytes % std::mem::size_of::(), 0); - let mut padded_cap = padded_cap_in_bytes / std::mem::size_of::(); - if padded_cap_in_bytes % std::mem::size_of::() != 0 { + assert_eq!(padded_cap_in_bytes % size_of::(), 0); + let mut padded_cap = padded_cap_in_bytes / size_of::(); + if padded_cap_in_bytes % size_of::() != 0 { padded_cap += 1; } @@ -232,6 +232,18 @@ impl DerefMut for DVec { } } +impl<'a, T, A: StaticAllocator> From<&'a DVec> for &'a DeviceSlice { + fn from(value: &'a DVec) -> Self { + unsafe { DeviceSlice::from_slice(value.data.deref()) } + } +} + +impl<'a, T, A: StaticAllocator> From<&'a mut DVec> for &'a mut DeviceSlice { + fn from(value: &'a mut DVec) -> Self { + unsafe { DeviceSlice::from_mut_slice(value.data.deref_mut()) } + } +} + pub struct DVecIterator<'a, T, A: StaticAllocator> { inner: &'a DVec, index: usize, @@ -292,13 +304,13 @@ impl SVec { data: Vec::with_capacity_in(0, alloc), }; } - let cap_in_bytes = cap * std::mem::size_of::(); + let cap_in_bytes = cap * size_of::(); let block_size_in_bytes = _small_alloc().block_size_in_bytes(); let padded_cap_in_bytes = calculate_padded_capacity(cap_in_bytes, block_size_in_bytes); assert_eq!(padded_cap_in_bytes % block_size_in_bytes, 0); - assert_eq!(padded_cap_in_bytes % std::mem::size_of::(), 0); - let mut padded_cap = padded_cap_in_bytes / std::mem::size_of::(); - if padded_cap_in_bytes % std::mem::size_of::() != 0 { + assert_eq!(padded_cap_in_bytes % size_of::(), 0); + let mut padded_cap = padded_cap_in_bytes / size_of::(); + if padded_cap_in_bytes % size_of::() != 0 { padded_cap += 1; } @@ -319,9 +331,7 @@ fn calculate_padded_capacity(actual_cap_in_bytes: usize, block_size_in_bytes: us if actual_cap_in_bytes % block_size_in_bytes != 0 { num_blocks += 1; } - let padded_cap_in_bytes = num_blocks * block_size_in_bytes; - - padded_cap_in_bytes + num_blocks * block_size_in_bytes } pub struct DF { @@ -338,11 +348,11 @@ impl Clone for DF { } } -impl std::fmt::Debug for DF { +impl Debug for DF { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { let values = self.inner.to_vec().unwrap(); assert_eq!(values.len(), 1); - write!(f, "{}", values[0]).unwrap(); + write!(f, "{}", values[0])?; Ok(()) } @@ -382,14 +392,14 @@ impl DF { } pub fn copy_from_host_value(&mut self, value: &F) -> CudaResult<()> { - helpers::set_by_value(self.inner.as_mut(), value.clone(), get_stream())?; + helpers::set_by_value(self.inner.as_mut(), *value, get_stream())?; Ok(()) } pub fn from_host_value(value: &F) -> CudaResult { let mut storage = svec!(1); - helpers::set_by_value(storage.as_mut(), value.clone(), get_stream())?; + helpers::set_by_value(storage.as_mut(), *value, get_stream())?; Ok(Self { inner: storage }) } @@ -399,9 +409,9 @@ impl DF { } } -impl Into for DF { - fn into(self) -> F { - let mut value = self.inner.to_vec().expect("to host vector"); +impl From for F { + fn from(value: DF) -> Self { + let mut value = value.inner.to_vec().expect("to host vector"); value.pop().unwrap() } } @@ -448,7 +458,6 @@ impl DExt { Ok(Self { c0, c1 }) } - #[allow(dead_code)] pub fn zero() -> CudaResult { let c0 = DF::zero()?; let c1 = DF::zero()?; @@ -471,16 +480,15 @@ impl DExt { Ok(()) } - #[allow(dead_code)] pub fn into_coeffs(self) -> [DF; 2] { [self.c0, self.c1] } } -impl Into for DExt { - fn into(self) -> EF { - let c0: F = self.c0.into(); - let c1: F = self.c1.into(); +impl From for EF { + fn from(value: DExt) -> Self { + let c0: F = value.c0.into(); + let c1: F = value.c1.into(); EF::from_coeff_in_base([c0, c1]) } diff --git a/crates/shivini/src/fri.rs b/crates/shivini/src/fri.rs index 87ecdd7..e41efe3 100644 --- a/crates/shivini/src/fri.rs +++ b/crates/shivini/src/fri.rs @@ -1,289 +1,186 @@ +use super::*; use boojum::{ - cs::{ - implementations::{ - proof::OracleQuery, transcript::Transcript, utils::precompute_twiddles_for_fft, - }, - oracle::TreeHasher, - }, + cs::implementations::{transcript::Transcript, utils::precompute_twiddles_for_fft}, fft::bitreverse_enumeration_inplace, worker::Worker, }; +use boojum_cuda::extension_field::VectorizedExtensionField; +use era_cudart::slice::{CudaSlice, DeviceSlice, DeviceVariable}; +use itertools::Itertools; +use std::collections::HashMap; +use std::ops::Deref; +use std::rc::Rc; -use super::*; - -#[derive(Clone)] -pub struct FRIOracle { - pub nodes: DVec, - pub num_leafs: usize, - pub cap_size: usize, - pub num_elems_per_leaf: usize, -} - -impl AsSingleSlice for FRIOracle { - fn domain_size(&self) -> usize { - assert_eq!(2 * NUM_EL_PER_HASH * self.num_leafs, self.nodes.len()); - self.num_leafs - } - - fn num_polys(&self) -> usize { - 2 - } +type IndexesMap = HashMap>; - fn as_single_slice(&self) -> &[F] { - &self.nodes - } -} +pub struct CodeWordChunk(DVec); -impl FRIOracle { - pub fn get_tree_cap(&self) -> CudaResult> { - get_tree_cap_from_nodes(&self.nodes, self.cap_size) +impl CodeWordChunk { + pub fn len(&self) -> usize { + self.0.len() } } -impl TreeQuery for FRIOracle { - fn query, L: LeafSourceQuery>( - &self, - leaf_sources: &L, - coset_idx: usize, - lde_degree: usize, - row_idx: usize, - domain_size: usize, - ) -> CudaResult> { - let Self { - nodes, - num_leafs, - cap_size, - num_elems_per_leaf, - } = self; - let num_elems_per_leaf = *num_elems_per_leaf; - let cap_size = *cap_size; - let mut num_leafs = *num_leafs; - - let leaf_elements = leaf_sources.get_leaf_sources( - coset_idx, - domain_size, - lde_degree, - row_idx, - num_elems_per_leaf, - )?; - - let inner_idx = row_idx >> num_elems_per_leaf.trailing_zeros(); - let shift = domain_size.trailing_zeros() - num_elems_per_leaf.trailing_zeros(); - let mut tree_idx = (coset_idx << shift) + inner_idx; - - assert_eq!(nodes.len(), 2 * num_leafs * NUM_EL_PER_HASH); - let num_polys = 2; - assert_eq!(leaf_elements.len(), num_polys * num_elems_per_leaf); - - let log_cap = cap_size.trailing_zeros(); - let depth = num_leafs.trailing_zeros(); - let num_layers = depth - log_cap; // ignore cap element(s) - - let mut result = vec![]; - let mut layer_start = 0; - - for _ in 0..num_layers { - let sbling_idx = tree_idx ^ 1; - - let mut node_hash = [F::ZERO; NUM_EL_PER_HASH]; - for col_idx in 0..NUM_EL_PER_HASH { - let pos = (layer_start + col_idx * num_leafs) + sbling_idx; - node_hash[col_idx] = nodes.clone_el_to_host(pos)?; - } - result.push(node_hash); - - layer_start += num_leafs * NUM_EL_PER_HASH; - num_leafs >>= 1; - tree_idx >>= 1; - } +impl Deref for CodeWordChunk { + type Target = DVec; - Ok(OracleQuery { - leaf_elements, - proof: result, - }) + fn deref(&self) -> &Self::Target { + &self.0 } } -#[derive(Clone)] -pub struct CodeWord { - storage: DVec, - blowup_factor: usize, - pub(crate) is_base_code_word: bool, -} - -impl AsSingleSlice for CodeWord { +impl AsSingleSlice for CodeWordChunk { fn domain_size(&self) -> usize { - self.length() + self.0.len() } fn num_polys(&self) -> usize { - 2 + 1 } - fn as_single_slice(&self) -> &[F] { - &self.storage + fn num_polys_in_base(&self) -> usize { + 2 } -} - -// for FRI oracles we may store multiple rows in single leaf -// that will allow us to skip to produce oracles for some intermediate layers -impl LeafSourceQuery for CodeWord { - fn get_leaf_sources( - &self, - coset_idx: usize, - domain_size: usize, - lde_degree: usize, - row_idx: usize, - num_elements_per_leaf: usize, - ) -> CudaResult> { - let mut values = vec![F::ZERO; 2 * num_elements_per_leaf]; - // leaf sources are chunked by num elems per leaf - // treat first N bits as actual chunk id - assert_eq!(self.blowup_factor, lde_degree); - assert!(lde_degree > coset_idx); - assert_eq!(self.storage.len(), 2 * domain_size * lde_degree); - - assert!(num_elements_per_leaf.is_power_of_two()); - let inner_idx = row_idx >> num_elements_per_leaf.trailing_zeros(); - let inner_start_aligned = inner_idx * num_elements_per_leaf; - - let start = coset_idx * domain_size + inner_start_aligned; - let end = start + num_elements_per_leaf; - assert!(end <= self.length()); - assert_eq!(self.storage.len(), 2 * self.length()); - let (c0_storage, c1_storage) = self.storage.split_at(self.length()); - mem::d2h( - &c0_storage[start..end], - &mut values[..num_elements_per_leaf], - )?; - mem::d2h( - &c1_storage[start..end], - &mut values[num_elements_per_leaf..], - )?; - Ok(values) + fn as_single_slice(&self) -> &[F] { + unsafe { std::slice::from_raw_parts(self.0.as_ptr() as *const F, self.0.len() << 1) } } } -pub fn compute_effective_indexes_for_fri_layers( - fri_holder: &FRICache, - query_details_for_cosets: &Vec>, -) -> CudaResult>>> { - let fri_lde_degree = fri_holder.fri_lde_degree; - let folding_schedule = &fri_holder.folding_schedule; - assert_eq!(fri_lde_degree, 2); - let mut query_indexes: Vec> = query_details_for_cosets.iter().cloned().collect(); - let mut effective_fri_indexes_for_all = vec![]; - for (layer_idx, (codeword, oracle)) in fri_holder.flatten().into_iter().enumerate() { - let mut indexes = vec![]; - for coset_idx in 0..fri_lde_degree { - // codewords store lde values but we need original domain size - let domain_size = codeword.length() / fri_lde_degree; - let num_elems_per_leaf = oracle.num_elems_per_leaf; - let schedule = folding_schedule[layer_idx]; - assert_eq!(num_elems_per_leaf, 1 << schedule); - assert_eq!( - fri_lde_degree * domain_size, - num_elems_per_leaf * oracle.num_leafs - ); - let query_indexes = &mut query_indexes[coset_idx]; - let mut d_queries = svec!(query_indexes.len()); - let effective_indexes = compute_effective_indexes( - query_indexes, - coset_idx, - domain_size, - num_elems_per_leaf, - ); - assert_eq!(effective_indexes.len(), query_indexes.len()); - mem::h2d(&effective_indexes, &mut d_queries)?; - indexes.push(d_queries); - query_indexes.iter_mut().for_each(|i| *i >>= schedule); - } - effective_fri_indexes_for_all.push(indexes); +impl From> for CodeWordChunk { + fn from(poly: ComplexPoly) -> Self { + let vec: DVec = poly.into(); + let (ptr, len, capacity, alloc) = vec.into_raw_parts_with_alloc(); + let vec = DVec::from_raw_parts_in( + ptr as *mut VectorizedExtensionField, + len >> 1, + capacity >> 1, + alloc, + ); + Self(vec) } - - Ok(effective_fri_indexes_for_all) } -pub(crate) fn compute_effective_indexes( - indexes: &[u32], - coset_idx: usize, - domain_size: usize, - num_elems_per_leaf: usize, -) -> Vec { - assert!(num_elems_per_leaf.is_power_of_two()); - let log2_schedule = num_elems_per_leaf.trailing_zeros(); - indexes - .iter() - .map(|&index| (index + (coset_idx * domain_size) as u32) >> log2_schedule) - .collect() +pub struct CodeWord { + pub fri_lde_degree: usize, + pub domain_size: usize, + chunks: Vec>, + pub(crate) is_base_code_word: bool, } impl CodeWord { - pub fn new_base_assuming_adjacent(storage: DVec, blowup_factor: usize) -> Self { - assert_eq!(blowup_factor, 2); - assert!(storage.len().is_power_of_two()); + pub fn new_base(cosets: Vec>) -> Self { + let fri_lde_degree = cosets.len(); + let domain_size = cosets[0].domain_size(); + assert!(fri_lde_degree.is_power_of_two()); + assert!(domain_size.is_power_of_two()); + assert!(cosets.iter().all(|c| c.domain_size() == domain_size)); + let chunks = cosets + .into_iter() + .map(CodeWordChunk::from) + .map(Rc::new) + .collect_vec(); Self { - storage, - blowup_factor, + fri_lde_degree, + domain_size, + chunks, is_base_code_word: true, } } - pub fn new_assuming_adjacent(storage: DVec, blowup_factor: usize) -> Self { - assert_eq!(blowup_factor, 2); - assert!(storage.len().is_power_of_two()); + pub fn new_intermediate( + fri_lde_degree: usize, + domain_size: usize, + chunks: Vec, + ) -> Self { + assert!(fri_lde_degree.is_power_of_two()); + assert!(domain_size.is_power_of_two()); + let chunk_len = chunks[0].len(); + assert!(chunk_len.is_power_of_two()); + assert!(chunks.iter().all(|c| c.len() == chunk_len)); + assert_eq!(fri_lde_degree * domain_size, chunks.len() * chunk_len); + let chunks = chunks.into_iter().map(Rc::new).collect_vec(); Self { - storage, - blowup_factor, + fri_lde_degree, + domain_size, + chunks, is_base_code_word: false, } } - #[allow(dead_code)] - pub fn new(c0: DVec, c1: DVec, blowup_factor: usize) -> CudaResult { - assert_eq!(c0.len(), c1.len()); - let len = c0.len(); - assert!(len.is_power_of_two()); - let mut storage = dvec!(2 * len); - mem::d2d(&c0, &mut storage[..len])?; - mem::d2d(&c1, &mut storage[len..])?; - - Ok(Self { - storage, - blowup_factor, - is_base_code_word: false, - }) - } - - pub fn length(&self) -> usize { - assert_eq!(self.blowup_factor, 2); - assert!(self.storage.len().is_power_of_two()); - let domain_size = self.storage.len() / 2; - assert!(domain_size.is_power_of_two()); - domain_size - } - - pub fn compute_oracle( + pub fn compute_oracle( &self, cap_size: usize, num_elems_per_leaf: usize, - ) -> CudaResult { - let num_leafs = self.length() / num_elems_per_leaf; - let mut result = dvec!(2 * NUM_EL_PER_HASH * num_leafs); - tree::build_tree( - self.as_single_slice(), - &mut result, - self.length(), + commitment_cache_strategy: CommitmentCacheStrategy, + ) -> CudaResult> { + let mut cache = CommitmentCache::::allocate( + commitment_cache_strategy, + self.chunks[0].len(), + self.chunks.len(), cap_size, num_elems_per_leaf, - )?; + ); + for (chunk_idx, chunk) in self.chunks.iter().enumerate() { + cache.initialize_for_chunk(chunk_idx, chunk.deref())?; + } + cache.build_tree()?; + Ok(cache) + } - Ok(FRIOracle { - nodes: result, - num_leafs, - cap_size, - num_elems_per_leaf, - }) + pub fn fold(&self, coset_inv: F, challenge: &DeviceVariable) -> CudaResult { + let len = self.chunks[0].len(); + let half_len = len >> 1; + let chunks = if self.chunks.len() == 1 { + let src = &self.chunks[0]; + let mut dst = dvec!(half_len); + arith::fold_chunk(coset_inv, challenge, 0, src, &mut dst, 0)?; + vec![CodeWordChunk(dst)] + } else { + let mut result_chunks = vec![]; + for (i, chunks) in self.chunks.iter().array_chunks::<2>().enumerate() { + let mut dst = dvec!(len); + let root_offset = i * len; + arith::fold_chunk(coset_inv, challenge, root_offset, chunks[0], &mut dst, 0)?; + arith::fold_chunk( + coset_inv, + challenge, + root_offset + half_len, + chunks[1], + &mut dst, + half_len, + )?; + result_chunks.push(CodeWordChunk(dst)); + } + result_chunks + }; + Ok(Self::new_intermediate( + self.fri_lde_degree, + self.domain_size >> 1, + chunks, + )) + } + + pub fn get_coefficients(&self) -> CudaResult<[Vec; 2]> { + let len = self.domain_size * self.fri_lde_degree; + let chunk_size = self.chunks[0].len(); + let mut c0 = vec![F::ZERO; len]; + let mut c1 = vec![F::ZERO; len]; + for (chunk, (c0, c1)) in self + .chunks + .iter() + .zip(c0.chunks_mut(chunk_size).zip(c1.chunks_mut(chunk_size))) + { + let (s0, s1) = chunk.as_single_slice().split_at(chunk_size); + mem::d2h(s0, c0)?; + mem::d2h(s1, c1)?; + } + Ok([c0, c1]) + } +} + +impl ChunkLeavesSource for CodeWord { + fn get_chunk_leaves(&mut self, chunk_idx: usize) -> CudaResult> { + Ok(self.chunks[chunk_idx].clone()) } } @@ -298,44 +195,38 @@ impl FoldingOperator { Ok(Self { coset_inverse }) } - pub fn fold_flattened_multiple( + pub fn fold_multiple( &mut self, codeword: &CodeWord, - challenges: Vec, + challenges: Vec, ) -> CudaResult { - assert!(codeword.length().is_power_of_two()); - let mut prev = &codeword.storage; - - let mut all_codewords = vec![]; - for challenge in challenges { - let fold_size = prev.len() >> 1; - let mut result = dvec!(fold_size); - arith::fold_flattened(prev, &mut result, self.coset_inverse, &challenge)?; - all_codewords.push(result); - prev = &all_codewords.last().unwrap(); - + assert!(codeword.domain_size.is_power_of_two()); + let mut previous = codeword; + let mut result = None; + let mut d_challenges = svec!(challenges.len()); + mem::h2d(&challenges, &mut d_challenges)?; + let challenges_slice: &DeviceSlice = (&d_challenges).into(); + for i in 0..challenges_slice.len() { + let challenge = &challenges_slice[i]; + result = Some(previous.fold(self.coset_inverse, challenge)?); + previous = result.as_ref().unwrap(); self.coset_inverse.square(); } - - let last = all_codewords.pop().unwrap(); - Ok(CodeWord::new_assuming_adjacent( - last, - codeword.blowup_factor, - )) + Ok(result.unwrap()) } } -pub struct FRICache { +pub struct FRICache { pub(crate) base_codeword: CodeWord, pub(crate) intermediate_codewords: Vec, - pub(crate) base_oracle: FRIOracle, - pub(crate) intermediate_oracles: Vec, + pub(crate) base_oracle: CommitmentCache, + pub(crate) intermediate_oracles: Vec>, pub(crate) fri_lde_degree: usize, pub(crate) folding_schedule: Vec, } -impl FRICache { - pub fn flatten(&self) -> Vec<(&CodeWord, &FRIOracle)> { +impl FRICache { + pub fn flatten(&self) -> Vec<(&CodeWord, &CommitmentCache)> { let mut fri_layers = vec![]; fri_layers.push((&self.base_codeword, &self.base_oracle)); for l in self @@ -349,81 +240,106 @@ impl FRICache { fri_layers } - pub fn base_oracle_batch_query, A: GoodAllocator>( + pub fn compute_query_indexes( + &self, + query_details_for_cosets: &[Vec], + ) -> CudaResult>> { + let fri_lde_degree = self.fri_lde_degree; + let folding_schedule = &self.folding_schedule; + let mut query_indexes = query_details_for_cosets.iter().cloned().collect_vec(); + let mut effective_fri_indexes_for_all = vec![]; + for (layer_idx, (codeword, oracle)) in self.flatten().into_iter().enumerate() { + let domain_size = codeword.domain_size; + let num_elems_per_leaf = oracle.num_elems_per_leaf; + let schedule = folding_schedule[layer_idx]; + assert_eq!(num_elems_per_leaf, 1 << schedule); + let chunk_size = oracle.chunk_size; + let chunks_count = oracle.chunks_count; + assert_eq!(fri_lde_degree * domain_size, chunk_size * chunks_count); + let chunk_shift = chunk_size.trailing_zeros() - schedule as u32; + let chunk_mask = (1usize << chunk_shift) - 1; + let mut indexes = vec![]; + for (coset_idx, coset_query_indexes) in query_indexes.iter_mut().enumerate() { + let chunk_map = coset_query_indexes + .iter() + .map(|&index| (index as usize + (coset_idx * domain_size)) >> schedule) + .map(|index| (index >> chunk_shift, (index & chunk_mask) as u32)) + .into_group_map(); + let mut coset_indexes = HashMap::new(); + for (chunk_idx, queries) in chunk_map { + let mut d_queries = svec!(queries.len()); + mem::h2d(&queries, &mut d_queries)?; + coset_indexes.insert(chunk_idx, d_queries); + } + indexes.push(coset_indexes); + coset_query_indexes.iter_mut().for_each(|i| *i >>= schedule); + } + effective_fri_indexes_for_all.push(indexes); + } + + Ok(effective_fri_indexes_for_all) + } + + pub fn base_oracle_batch_query( &mut self, - layer_idx: usize, - d_indexes: &DVec, - num_queries: usize, - domain_size: usize, + indexes: &IndexesMap, h_all_leaf_elems: &mut Vec, - h_all_proofs: &mut Vec, + h_all_proofs: &mut Vec, ) -> CudaResult<()> { - assert_eq!(layer_idx, 0); - assert!(self.base_codeword.is_base_code_word); - assert_eq!(domain_size, self.base_codeword.length()); + let code_word = &mut self.base_codeword; + assert!(code_word.is_base_code_word); + let oracle = &self.base_oracle; let num_elems_per_leaf = 1 << self.folding_schedule[0]; - assert_eq!(domain_size / num_elems_per_leaf, self.base_oracle.num_leafs); - batch_query::( - d_indexes, - num_queries, - &self.base_codeword, - 2, - &self.base_oracle, - self.base_oracle.cap_size, - domain_size, - num_elems_per_leaf, - h_all_leaf_elems, - h_all_proofs, - ) + assert_eq!(num_elems_per_leaf, oracle.num_elems_per_leaf); + for (&chunk_idx, indexes) in indexes.iter().sorted_by_key(|&(&i, _)| i) { + oracle.batch_query_for_chunk( + code_word, + chunk_idx, + indexes, + h_all_leaf_elems, + h_all_proofs, + )?; + } + Ok(()) } - pub fn intermediate_oracle_batch_query, A: GoodAllocator>( + pub fn intermediate_oracle_batch_query( &mut self, layer_idx: usize, - d_indexes: &DVec, - num_queries: usize, - domain_size: usize, + indexes: &IndexesMap, h_all_leaf_elems: &mut Vec, - h_all_proofs: &mut Vec, + h_all_proofs: &mut Vec, ) -> CudaResult<()> { assert!(layer_idx < self.folding_schedule.len()); - let current_codeword = &self.intermediate_codewords[layer_idx - 1]; - let current_oracle = &self.intermediate_oracles[layer_idx - 1]; - assert_eq!(current_codeword.is_base_code_word, false); - assert_eq!(domain_size, current_codeword.length()); + let code_word = &mut self.intermediate_codewords[layer_idx - 1]; + assert!(!code_word.is_base_code_word); + let oracle = &self.intermediate_oracles[layer_idx - 1]; let num_elems_per_leaf = 1 << self.folding_schedule[layer_idx]; - assert_eq!(domain_size / num_elems_per_leaf, current_oracle.num_leafs); - batch_query::( - d_indexes, - num_queries, - current_codeword, - 2, - current_oracle, - current_oracle.cap_size, - domain_size, - num_elems_per_leaf, - h_all_leaf_elems, - h_all_proofs, - ) + assert_eq!(num_elems_per_leaf, oracle.num_elems_per_leaf); + for (&chunk_idx, indexes) in indexes.iter().sorted_by_key(|&(&i, _)| i) { + oracle.batch_query_for_chunk( + code_word, + chunk_idx, + indexes, + h_all_leaf_elems, + h_all_proofs, + )?; + } + Ok(()) } } -pub fn compute_fri, A: GoodAllocator>( +pub fn compute_fri, H: GpuTreeHasher>( base_code_word: CodeWord, transcript: &mut T, folding_schedule: Vec, fri_lde_degree: usize, cap_size: usize, + commitment_cache_strategy: CommitmentCacheStrategy, worker: &Worker, -) -> CudaResult<(FRICache, [Vec; 2])> { - let full_size = base_code_word.length(); - let degree = full_size / fri_lde_degree; - let mut final_degree = degree; - for interpolation_log2 in folding_schedule.iter() { - let factor = 1usize << interpolation_log2; - final_degree /= factor; - } - +) -> CudaResult<(FRICache, [Vec; 2])> { + assert_eq!(fri_lde_degree, base_code_word.fri_lde_degree); + let final_degree = base_code_word.domain_size >> folding_schedule.iter().sum::(); assert!(final_degree.is_power_of_two()); let mut operator = FoldingOperator::init()?; @@ -431,23 +347,22 @@ pub fn compute_fri, A: GoodAllocator>( let mut intermediate_codewords = vec![]; let mut prev_code_word = &base_code_word; - for (_layer_idx, log_schedule) in folding_schedule.iter().cloned().enumerate() { + for log_schedule in folding_schedule.iter().cloned() { let num_elems_per_leaf = 1 << log_schedule; let num_layers_to_skip = log_schedule; assert!(num_elems_per_leaf > 0); assert!(num_elems_per_leaf < 1 << 4); - assert_eq!(prev_code_word.length() % num_elems_per_leaf, 0); - let current_oracle = prev_code_word.compute_oracle(cap_size, num_elems_per_leaf)?; - assert_eq!( - current_oracle.num_leafs, - prev_code_word.length() / num_elems_per_leaf - ); - let oracle_cap = current_oracle.get_tree_cap()?; + let current_oracle = prev_code_word.compute_oracle( + cap_size, + num_elems_per_leaf, + commitment_cache_strategy, + )?; + let oracle_cap = current_oracle.get_tree_cap(); intermediate_oracles.push(current_oracle); - transcript.witness_merkle_tree_cap(&oracle_cap.as_ref()); + transcript.witness_merkle_tree_cap(&oracle_cap); let h_challenge = if is_dry_run()? { [F::ZERO; 2] } else { @@ -458,12 +373,11 @@ pub fn compute_fri, A: GoodAllocator>( let mut challenge_powers = vec![]; for _ in 0..num_layers_to_skip { - challenge_powers.push(h_challenge.clone().into()); + challenge_powers.push(h_challenge); h_challenge.square(); } - let folded_code_word = - operator.fold_flattened_multiple(prev_code_word, challenge_powers)?; + let folded_code_word = operator.fold_multiple(prev_code_word, challenge_powers)?; intermediate_codewords.push(folded_code_word); prev_code_word = intermediate_codewords.last().unwrap(); @@ -473,18 +387,13 @@ pub fn compute_fri, A: GoodAllocator>( // since last codeword is tiny we can do ifft and asserts on the cpu let last_code_word = intermediate_codewords.pop().unwrap(); - let last_code_len = last_code_word.length(); - let last_code_word_flattened = last_code_word.storage.to_vec_in(A::default())?; + let [mut last_c0, mut last_c1] = last_code_word.get_coefficients()?; // FIXME: we can still construct monomials on the device for better stream handling synchronize_streams()?; - assert_eq!(last_code_word_flattened.len(), 2 * last_code_len); - let mut last_c0 = last_code_word_flattened[..last_code_len].to_vec_in(A::default()); - let mut last_c1 = last_code_word_flattened[last_code_len..].to_vec_in(A::default()); - bitreverse_enumeration_inplace(&mut last_c0); bitreverse_enumeration_inplace(&mut last_c1); - let last_coset_inverse = operator.coset_inverse.clone(); + let last_coset_inverse = operator.coset_inverse; let coset = last_coset_inverse.inverse().unwrap(); // IFFT our presumable LDE of some low degree poly @@ -492,7 +401,7 @@ pub fn compute_fri, A: GoodAllocator>( let roots: Vec = if is_dry_run()? { vec![F::ZERO; fft_size] } else { - precompute_twiddles_for_fft::<_, _, _, true>(fft_size, &worker, &mut ()) + precompute_twiddles_for_fft::<_, _, _, true>(fft_size, worker, &mut ()) }; boojum::fft::ifft_natural_to_natural(&mut last_c0, coset, &roots[..fft_size / 2]); boojum::fft::ifft_natural_to_natural(&mut last_c1, coset, &roots[..fft_size / 2]); @@ -501,7 +410,7 @@ pub fn compute_fri, A: GoodAllocator>( if !is_dry_run()? { // self-check - if boojum::config::DEBUG_SATISFIABLE == false { + if !boojum::config::DEBUG_SATISFIABLE { for el in last_c0[final_degree..].iter() { assert_eq!(*el, F::ZERO); } diff --git a/crates/shivini/src/gpu_proof_config.rs b/crates/shivini/src/gpu_proof_config.rs index b80fdf6..17d3568 100644 --- a/crates/shivini/src/gpu_proof_config.rs +++ b/crates/shivini/src/gpu_proof_config.rs @@ -1,5 +1,6 @@ use crate::synthesis_utils::{ - get_verifier_for_base_layer_circuit, get_verifier_for_recursive_layer_circuit, + get_verifier_for_base_layer_circuit, get_verifier_for_compression_layer_circuit, + get_verifier_for_compression_wrapper_circuit, get_verifier_for_recursive_layer_circuit, }; use boojum::config::ProvingCSConfig; use boojum::cs::implementations::reference_cs::CSReferenceAssembly; @@ -13,12 +14,16 @@ use boojum::cs::traits::gate::GatePlacementStrategy; use boojum::field::goldilocks::{GoldilocksExt2, GoldilocksField}; use boojum::field::traits::field_like::PrimeFieldLikeVectorized; use boojum::field::FieldExtension; +use circuit_definitions::circuit_definitions::aux_layer::{ + ZkSyncCompressionForWrapperCircuit, ZkSyncCompressionLayerCircuit, +}; use circuit_definitions::circuit_definitions::base_layer::ZkSyncBaseLayerCircuit; use circuit_definitions::circuit_definitions::recursion_layer::ZkSyncRecursiveLayerCircuit; use std::any::TypeId; use std::collections::HashMap; type F = GoldilocksField; +#[allow(clippy::upper_case_acronyms)] type EXT = GoldilocksExt2; pub(crate) struct EvaluatorData { @@ -152,12 +157,22 @@ impl GpuProofConfig { Self::from_verifier(&get_verifier_for_recursive_layer_circuit(circuit)) } + pub fn from_compression_layer_circuit(circuit: &ZkSyncCompressionLayerCircuit) -> Self { + Self::from_verifier(&get_verifier_for_compression_layer_circuit(circuit)) + } + + pub fn from_compression_wrapper_circuit(circuit: &ZkSyncCompressionForWrapperCircuit) -> Self { + Self::from_verifier(&get_verifier_for_compression_wrapper_circuit(circuit)) + } + #[cfg(test)] pub(crate) fn from_circuit_wrapper(wrapper: &crate::synthesis_utils::CircuitWrapper) -> Self { use crate::synthesis_utils::CircuitWrapper::*; match wrapper { Base(circuit) => Self::from_base_layer_circuit(circuit), Recursive(circuit) => Self::from_recursive_layer_circuit(circuit), + CompressionLayer(circuit) => Self::from_compression_layer_circuit(circuit), + CompressionWrapper(circuit) => Self::from_compression_wrapper_circuit(circuit), } } } diff --git a/crates/shivini/src/lib.rs b/crates/shivini/src/lib.rs index 3c07db7..a8cdef0 100644 --- a/crates/shivini/src/lib.rs +++ b/crates/shivini/src/lib.rs @@ -1,16 +1,14 @@ #![allow(incomplete_features)] #![feature(allocator_api)] #![feature(array_chunks)] +#![feature(associated_type_defaults)] #![feature(iter_array_chunks)] #![feature(get_mut_unchecked)] #![feature(generic_const_exprs)] + mod context; #[cfg(test)] mod test; -// use circuit_definitions::boojum as boojum; -use boojum::algebraic_props::round_function::AbsorptionModeOverwrite; -use boojum::algebraic_props::sponge::GoldilocksPoseidon2Sponge; -use boojum::cs::implementations::transcript::GoldilocksPoisedon2Transcript; use boojum::field::goldilocks::GoldilocksExt2 as EXT; use boojum::field::goldilocks::GoldilocksField as F; use boojum::field::{ExtensionField, Field, PrimeField}; @@ -50,11 +48,11 @@ pub mod synthesis_utils; use quotient::*; type EF = ExtensionField; +use primitives::*; use std::alloc::Global; +use std::fmt::Debug; use std::slice::Chunks; -use primitives::*; - use primitives::arith; use primitives::cs_helpers; use primitives::helpers; @@ -62,9 +60,11 @@ use primitives::helpers; use primitives::ntt; use primitives::tree; -type DefaultTranscript = GoldilocksPoisedon2Transcript; -type DefaultTreeHasher = GoldilocksPoseidon2Sponge; use boojum::cs::traits::GoodAllocator; pub use context::ProverContext; pub use context::ProverContextConfig; +pub use data_structures::CacheStrategy; +pub use data_structures::CommitmentCacheStrategy; +pub use data_structures::PolynomialsCacheStrategy; pub use prover::gpu_prove_from_external_witness_data; +pub use prover::gpu_prove_from_external_witness_data_with_cache_strategy; diff --git a/crates/shivini/src/lookup.rs b/crates/shivini/src/lookup.rs index b730349..bec6d4f 100644 --- a/crates/shivini/src/lookup.rs +++ b/crates/shivini/src/lookup.rs @@ -6,6 +6,7 @@ use crate::primitives::arith::{ use super::*; +#[allow(clippy::too_many_arguments)] pub fn compute_lookup_argument_over_specialized_cols( trace: &TracePolynomials, setup: &SetupPolynomials, @@ -35,7 +36,7 @@ pub fn compute_lookup_argument_over_specialized_cols( .. } = storage.as_polynomials_mut(); - assert!(variable_cols.len() > 0); + assert!(!variable_cols.is_empty()); // added up multiplicities assert_eq!(multiplicity_cols.len(), 1); @@ -54,7 +55,7 @@ pub fn compute_lookup_argument_over_specialized_cols( num_repetitions, share_table_id, } => { - assert!(share_table_id == false); + assert!(!share_table_id); ( false, false, @@ -93,9 +94,9 @@ pub fn compute_lookup_argument_over_specialized_cols( assert_eq!(table_cols.len(), powers_of_gamma.len()); let mut aggregated_table_values = ComplexPoly::::empty(domain_size)?; lookup_aggregated_table_values( - &table_cols, - &beta, - &powers_of_gamma, + table_cols, + beta, + powers_of_gamma, &mut aggregated_table_values, num_variable_columns_per_subargument, domain_size, @@ -104,20 +105,23 @@ pub fn compute_lookup_argument_over_specialized_cols( aggregated_table_values.inverse()?; let aggregated_table_values_inv = aggregated_table_values; - assert!(table_id_column_idxes.len() == 1); + assert_eq!(table_id_column_idxes.len(), 1); assert!(use_constant_for_table_id); - let table_id_col_idx = table_id_column_idxes.get(0).copied().expect("should exist"); + let table_id_col_idx = table_id_column_idxes + .first() + .copied() + .expect("should exist"); let table_id_col = &constant_cols[table_id_col_idx]; lookup_subargs( - &variable_cols_for_lookup, + variable_cols_for_lookup, &mut subargs_a, &mut subargs_b, - &beta, - &powers_of_gamma, - &table_id_col, + beta, + powers_of_gamma, + table_id_col, &aggregated_table_values_inv, - &multiplicity_cols, + multiplicity_cols, num_variable_columns_per_subargument, variable_cols_for_lookup.len(), domain_size, @@ -159,6 +163,7 @@ pub fn compute_lookup_argument_over_specialized_cols( Ok(()) } +#[allow(clippy::too_many_arguments)] #[allow(dead_code)] pub fn compute_lookup_argument_over_general_purpose_cols( _trace: &TracePolynomials, @@ -261,6 +266,7 @@ pub fn compute_lookup_argument_over_general_purpose_cols( unimplemented!() } +#[allow(clippy::too_many_arguments)] pub fn compute_quotient_for_lookup_over_specialized_cols( variable_cols: &[Poly], multiplicity_cols: &[Poly], @@ -283,7 +289,7 @@ pub fn compute_quotient_for_lookup_over_specialized_cols( num_repetitions, share_table_id, } => { - assert!(share_table_id == false); + assert!(!share_table_id); num_repetitions } LookupParameters::UseSpecializedColumnsWithTableIdAsConstant { @@ -319,29 +325,27 @@ pub fn compute_quotient_for_lookup_over_specialized_cols( let variable_cols_for_specialized = &variable_cols[variables_offset ..(variables_offset + num_column_elements_per_subargument * num_subarguments)]; - assert!(table_ids_column_idxes.len() == 1); + assert_eq!(table_ids_column_idxes.len(), 1); let table_id_col_idx = table_ids_column_idxes - .get(0) + .first() .copied() .expect("should exist"); let table_id_col = &constant_cols[table_id_col_idx]; let powers_of_gamma_ref = powers_of_gamma.as_ref().expect("must exist"); lookup_quotient_ensure_a_and_b_are_well_formed( - &variable_cols_for_specialized, - &table_cols, - &lookup_a_polys, - &lookup_b_polys, - &beta, + variable_cols_for_specialized, + table_cols, + lookup_a_polys, + lookup_b_polys, + beta, powers_of_gamma_ref, powers_of_alpha_ref, - &table_id_col, - &multiplicity_cols, + table_id_col, + multiplicity_cols, quotient, num_column_elements_per_subargument, variable_cols_for_specialized.len(), domain_size, - )?; - - Ok(()) + ) } diff --git a/crates/shivini/src/oracle.rs b/crates/shivini/src/oracle.rs index 23edbec..c4ac27b 100644 --- a/crates/shivini/src/oracle.rs +++ b/crates/shivini/src/oracle.rs @@ -1,292 +1,138 @@ use std::rc::Rc; -use boojum::cs::{implementations::proof::OracleQuery, oracle::TreeHasher}; - use super::*; - -pub const NUM_EL_PER_HASH: usize = 4; - -pub trait LeafSourceQuery { - fn get_leaf_sources( - &self, - coset_idx: usize, - domain_size: usize, - lde_factor: usize, - row_idx: usize, - num_elems_per_leaf: usize, - ) -> CudaResult>; -} - -pub trait TreeQuery { - fn query, L: LeafSourceQuery>( - &self, - leaf_sources: &L, - coset_idx: usize, - lde_degree: usize, - row_idx: usize, - domain_size: usize, - ) -> CudaResult>; -} - -pub trait ParentTree { - fn compute_cap>( - &mut self, - subtrees: &mut [SubTree], - cap_size: usize, - ) -> CudaResult>; -} - -impl ParentTree for Vec> { - fn compute_cap>( - &mut self, - subtrees: &mut [SubTree], - cap_size: usize, - ) -> CudaResult> { - let mut flattened_caps = vec![]; - for cap in self.iter() { - flattened_caps.extend_from_slice(cap); - } - if flattened_caps.len() == cap_size { - for subtree in subtrees.iter_mut() { - subtree.parent = Rc::new(vec![flattened_caps.clone()]); - } - return Ok(flattened_caps); - } - - let num_subtrees = self.len(); - assert!(num_subtrees.is_power_of_two()); - assert_eq!(subtrees.len(), num_subtrees); - assert!(cap_size.is_power_of_two()); - let num_layers = cap_size.trailing_zeros() - num_subtrees.trailing_zeros(); - - let mut prev_layer = &flattened_caps; - // prepare parent nodes then query them in FRI - let mut all_layers = vec![]; - all_layers.push(flattened_caps.to_vec()); - for layer_idx in 0..num_layers { - let mut layer_hashes = vec![]; - for [left, right] in prev_layer.array_chunks::<2>() { - let node_hash = H::hash_into_node(left, right, layer_idx as usize); - layer_hashes.push(node_hash); - } - all_layers.push(layer_hashes); - prev_layer = all_layers.last().expect("last"); - } - assert_eq!(prev_layer.len(), cap_size); - - // link subtrees with parent - let all_layers = Rc::new(all_layers.clone()); - for subtree in subtrees.iter_mut() { - subtree.parent = all_layers.clone(); - } - Ok(prev_layer.to_vec()) - } -} +use crate::primitives::tree::build_tree; // We can use move trees back to the cpu while proof is generated. // This will allow us to leave gpu earlier and do fri queries on the cpu -pub struct SubTree { - pub parent: Rc>>, - pub nodes: Rc>, +#[derive(Clone)] +pub struct SubTree { + pub nodes: Rc>, pub num_leafs: usize, pub cap_size: usize, - #[allow(dead_code)] - pub tree_idx: usize, } -impl SubTree { - pub fn new(nodes: Rc>, num_leafs: usize, cap_size: usize, coset_idx: usize) -> Self { +impl SubTree { + pub fn new(nodes: Rc>, num_leafs: usize, cap_size: usize) -> Self { assert!(num_leafs.is_power_of_two()); assert!(cap_size.is_power_of_two()); - assert_eq!(nodes.len(), 2 * num_leafs * NUM_EL_PER_HASH); + assert_eq!(nodes.len(), 2 * num_leafs * H::CAPACITY); SubTree { - parent: Rc::new(vec![]), // TODO each subtree have access to the parent for querying nodes, num_leafs, cap_size, - tree_idx: coset_idx, } } } -impl AsSingleSlice for SubTree { +pub trait OracleData { + fn domain_size(&self) -> usize; + fn as_single_slice(&self) -> &[T]; +} + +impl OracleData for SubTree { fn domain_size(&self) -> usize { self.num_leafs } - fn num_polys(&self) -> usize { - unreachable!() - } - - fn as_single_slice(&self) -> &[F] { + fn as_single_slice(&self) -> &[H::DigestElementType] { &self.nodes } } -impl TreeQuery for Vec { - fn query, L: LeafSourceQuery>( - &self, - leaf_sources: &L, - coset_idx: usize, - lde_degree: usize, - row_idx: usize, - domain_size: usize, - ) -> CudaResult> { - assert!(!self[0].parent.is_empty()); - assert_eq!(self.len(), lde_degree); - let current_subtree = &self[coset_idx]; - // first create proof for subtree - // then read remaining cap elems from parent if necessary - let cap_elems_per_coset = current_subtree.cap_size; - let cap_size = cap_elems_per_coset * lde_degree; - let num_leafs = current_subtree.num_leafs; - let mut subtree_proof = query::( - ¤t_subtree.nodes, - leaf_sources, - coset_idx, - domain_size, - lde_degree, - row_idx, - num_leafs, - cap_elems_per_coset, - )?; - - if cap_size <= lde_degree { - // add nodes from the parent tree - let mut idx = coset_idx; - let mut parent = current_subtree.parent.as_ref().clone(); - let _ = parent.pop().unwrap(); - for layer in parent.iter() { - let sibling_idx = idx ^ 1; - subtree_proof.proof.push(layer[sibling_idx]); - idx >>= 1; - } - } - - Ok(subtree_proof) - } -} - -pub fn query, L: LeafSourceQuery>( - current_tree: &DVec, - leaf_sources: &L, - coset_idx: usize, // we need coset idx because fri queries are LDEs - domain_size: usize, - lde_degree: usize, - row_idx: usize, - num_leafs: usize, - cap_elems_per_coset: usize, -) -> CudaResult> { - let leaf_elements = - leaf_sources.get_leaf_sources(coset_idx, domain_size, lde_degree, row_idx, 1)?; - // we are looking for a leaf of the subtree of given coset. - // we put single element into leaf for non-fri related trees - // so just use the given leaf idx - let leaf_idx = row_idx; - assert!(leaf_idx < num_leafs); - assert_eq!(current_tree.len(), 2 * num_leafs * NUM_EL_PER_HASH); - assert!(cap_elems_per_coset.is_power_of_two()); - assert!(num_leafs.is_power_of_two()); - let log_cap = cap_elems_per_coset.trailing_zeros(); - let depth = num_leafs.trailing_zeros(); - let num_layers = depth - log_cap; // ignore cap element(s) - - let mut result = vec![]; - let mut layer_start = 0; - let mut num_leafs = num_leafs; - let mut tree_idx = leaf_idx; - - for _ in 0..num_layers { - let sibling_idx = tree_idx ^ 1; - let mut node_hash = [F::ZERO; NUM_EL_PER_HASH]; - for col_idx in 0..NUM_EL_PER_HASH { - let pos = (layer_start + col_idx * num_leafs) + sibling_idx; - node_hash[col_idx] = current_tree.clone_el_to_host(pos)?; - } - result.push(node_hash); - - layer_start += num_leafs * NUM_EL_PER_HASH; - num_leafs >>= 1; - tree_idx >>= 1; - } - - Ok(OracleQuery { - leaf_elements, - proof: result, - }) -} - -pub fn compute_tree_cap( +pub fn compute_tree_cap( leaf_sources: &[F], - result: &mut [F], + result: &mut [H::DigestElementType], source_len: usize, cap_size: usize, num_elems_per_leaf: usize, -) -> CudaResult> { - tree::build_tree( +) -> CudaResult> { + build_tree::( leaf_sources, result, source_len, cap_size, num_elems_per_leaf, )?; - let tree_cap = get_tree_cap_from_nodes(result, cap_size)?; + let tree_cap = get_tree_cap_from_nodes::(result, cap_size)?; // TODO: transfer subtree to the host Ok(tree_cap) } -pub fn get_tree_cap_from_nodes(result: &[F], cap_size: usize) -> CudaResult> { +pub fn get_tree_cap_from_nodes( + result: &[H::DigestElementType], + cap_size: usize, +) -> CudaResult> { let result_len = result.len(); - let actual_cap_len = NUM_EL_PER_HASH * cap_size; + let actual_cap_len = H::CAPACITY * cap_size; let cap_start_pos = result_len - 2 * actual_cap_len; let cap_end_pos = cap_start_pos + actual_cap_len; let range = cap_start_pos..cap_end_pos; let len = range.len(); - let mut layer_nodes = vec![F::ZERO; len]; + let mut layer_nodes = vec![H::DigestElementType::default(); len]; mem::d2h(&result[range], &mut layer_nodes)?; let mut cap_values = vec![]; for node_idx in 0..cap_size { - let mut actual = [F::ZERO; NUM_EL_PER_HASH]; - for col_idx in 0..NUM_EL_PER_HASH { + let mut actual = H::DigestElements::default(); + for col_idx in 0..H::CAPACITY { let idx = col_idx * cap_size + node_idx; actual[col_idx] = layer_nodes[idx]; } - cap_values.push(actual); + cap_values.push(actual.into()); } assert_eq!(cap_values.len(), cap_size); Ok(cap_values) } -pub fn batch_query, A: GoodAllocator>( +pub fn build_subtree( + d_leaf_sources: &impl AsSingleSlice, + cap_size: usize, + num_elems_per_leaf: usize, + mut nodes: DVec, +) -> CudaResult<(SubTree, Vec)> { + let domain_size = d_leaf_sources.domain_size(); + let leaf_sources = d_leaf_sources.as_single_slice(); + build_tree::( + leaf_sources, + &mut nodes, + domain_size, + cap_size, + num_elems_per_leaf, + )?; + let subtree_root = get_tree_cap_from_nodes::(&nodes, cap_size)?; + let num_leafs = domain_size / num_elems_per_leaf; + let subtree = SubTree::new(Rc::new(nodes), num_leafs, cap_size); + Ok((subtree, subtree_root)) +} + +#[allow(clippy::too_many_arguments)] +pub fn batch_query( d_indexes: &DVec, - num_queries: usize, d_leaf_sources: &impl AsSingleSlice, num_cols: usize, - d_oracle_data: &impl AsSingleSlice, + d_oracle_data: &impl OracleData, cap_size: usize, - domain_size: usize, + num_rows: usize, num_elems_per_leaf: usize, h_all_leaf_elems: &mut Vec, - h_all_proofs: &mut Vec, + h_all_proofs: &mut Vec, ) -> CudaResult<()> { - batch_query_leaf_sources( + batch_query_leaf_sources::( d_indexes, - num_queries, d_leaf_sources, num_cols, - domain_size, + num_rows, num_elems_per_leaf, h_all_leaf_elems, )?; - batch_query_tree::( + batch_query_tree::( d_indexes, - num_queries, d_oracle_data, cap_size, - domain_size, + num_rows, num_elems_per_leaf, h_all_proofs, )?; @@ -294,40 +140,39 @@ pub fn batch_query, A: GoodAllocator>( Ok(()) } -pub fn batch_query_tree, A: GoodAllocator>( +pub fn batch_query_tree( d_indexes: &DVec, - num_queries: usize, - d_oracle_data: &impl AsSingleSlice, + d_oracle_data: &impl OracleData, cap_size: usize, - domain_size: usize, + num_rows: usize, num_elems_per_leaf: usize, - h_all_proofs: &mut Vec, + h_all_proofs: &mut Vec, ) -> CudaResult<()> { use era_cudart::slice::DeviceSlice; - assert_eq!(d_indexes.len(), num_queries); - assert!(domain_size.is_power_of_two()); + let num_queries = d_indexes.len(); + assert!(num_rows.is_power_of_two()); assert!(cap_size.is_power_of_two()); assert!(num_elems_per_leaf.is_power_of_two()); - let num_leafs = domain_size / num_elems_per_leaf; + let num_leafs = num_rows / num_elems_per_leaf; assert_eq!(num_leafs, d_oracle_data.domain_size()); let num_layers = (num_leafs.trailing_zeros() - cap_size.trailing_zeros()) as usize; if num_layers == 0 { return Ok(()); } - let mut d_all_proofs = dvec!(num_queries * NUM_EL_PER_HASH * num_layers); + let mut d_all_proofs = dvec!(num_queries * H::CAPACITY * num_layers); assert!(h_all_proofs.capacity() >= d_all_proofs.len()); unsafe { h_all_proofs.set_len(d_all_proofs.len()) }; - let (d_indexes_ref, d_oracle_data, mut d_all_proof_elems_ref) = unsafe { + let (d_indexes_ref, d_oracle_data, d_all_proof_elems_ref) = unsafe { ( - DeviceSlice::from_slice(&d_indexes), + DeviceSlice::from_slice(d_indexes), DeviceSlice::from_slice(d_oracle_data.as_single_slice()), DeviceSlice::from_mut_slice(&mut d_all_proofs), ) }; - if_not_dry_run!(boojum_cuda::poseidon::gather_merkle_paths( + if_not_dry_run!(H::gather_merkle_paths( d_indexes_ref, - &d_oracle_data, - &mut d_all_proof_elems_ref, + d_oracle_data, + d_all_proof_elems_ref, num_layers as u32, get_stream(), ))?; @@ -336,23 +181,22 @@ pub fn batch_query_tree, A: GoodAllocator>( Ok(()) } -pub fn batch_query_leaf_sources( +pub fn batch_query_leaf_sources( d_indexes: &DVec, - num_queries: usize, d_leaf_sources: &impl AsSingleSlice, num_cols: usize, - domain_size: usize, + num_rows: usize, num_elems_per_leaf: usize, h_all_leaf_elems: &mut Vec, ) -> CudaResult<()> { use boojum_cuda::device_structures::{DeviceMatrix, DeviceMatrixMut}; use era_cudart::slice::DeviceSlice; - assert_eq!(d_indexes.len(), num_queries); - assert!(domain_size.is_power_of_two()); - assert_eq!(domain_size, d_leaf_sources.domain_size()); + let num_queries = d_indexes.len(); + assert!(num_rows.is_power_of_two()); + assert_eq!(num_rows, d_leaf_sources.domain_size()); assert!(num_elems_per_leaf.is_power_of_two()); - assert_eq!(d_leaf_sources.len() % domain_size, 0); - let num_polys = d_leaf_sources.len() / domain_size; + assert_eq!(d_leaf_sources.len() % num_rows, 0); + let num_polys = d_leaf_sources.len() / num_rows; // assert_eq!(d_leaf_sources.num_polys(), num_polys); assert_eq!(num_polys, num_cols); let mut d_all_leaf_elems = dvec!(num_queries * num_polys * num_elems_per_leaf); @@ -360,10 +204,10 @@ pub fn batch_query_leaf_sources( unsafe { h_all_leaf_elems.set_len(d_all_leaf_elems.len()) }; let (d_indexes_ref, d_leaf_sources, mut d_all_leaf_elems_ref) = unsafe { ( - DeviceSlice::from_slice(&d_indexes), + DeviceSlice::from_slice(d_indexes), DeviceMatrix::new( DeviceSlice::from_slice(d_leaf_sources.as_single_slice()), - domain_size, + num_rows, ), DeviceMatrixMut::new( DeviceSlice::from_mut_slice(&mut d_all_leaf_elems), @@ -372,7 +216,7 @@ pub fn batch_query_leaf_sources( ) }; let log_rows_per_index = num_elems_per_leaf.trailing_zeros(); - if_not_dry_run!(boojum_cuda::poseidon::gather_rows( + if_not_dry_run!(H::gather_rows( d_indexes_ref, log_rows_per_index, &d_leaf_sources, @@ -383,460 +227,3 @@ pub fn batch_query_leaf_sources( Ok(()) } - -#[cfg(test)] -mod tests { - use super::*; - use crate::primitives::ntt::{batch_bitreverse, batch_ntt, coset_ntt_into}; - use boojum::cs::implementations::transcript::Transcript; - use boojum::field::U64Representable; - use serial_test::serial; - - #[serial] - #[test] - #[ignore] - fn test_batch_query_for_leaf_sources() -> CudaResult<()> { - let _ctx = ProverContext::create()?; - let domain_size = 1 << 16; - let lde_degree = 2; - let num_cols = 2; - let num_queries = 1 << 10; - - for log_n in 0..4 { - let num_elems_per_leaf = 1 << log_n; - print!("running for num elems per leaf {}", num_elems_per_leaf); - run_batch_query_for_leaf_sources( - domain_size, - lde_degree, - num_cols, - num_queries, - num_elems_per_leaf, - )?; - println!(" [DONE]"); - } - - Ok(()) - } - - fn run_batch_query_for_leaf_sources( - domain_size: usize, - lde_degree: usize, - num_cols: usize, - num_queries: usize, - num_elems_per_leaf: usize, - ) -> CudaResult<()> { - use crate::prover::construct_single_query_for_leaf_source_from_batch_sources; - use rand::{Rng, SeedableRng}; - let mut rng = rand::rngs::StdRng::seed_from_u64(42u64); - - assert!(domain_size >= num_queries); - - let mut storage = vec![]; - for _ in 0..num_cols * lde_degree { - for idx in 0..domain_size { - storage.push(F::from_u64_unchecked(idx as u64)); - } - } - - let d_storage = DVec::from_vec(storage)?; - let codeword = CodeWord::new_base_assuming_adjacent(d_storage, lde_degree); - assert!(domain_size <= (u32::MAX as usize)); - let mut all_indexes = Vec::with_capacity(lde_degree); - for _ in 0..lde_degree { - let indexes: Vec<_> = (0..num_queries) - .map(|_| rng.gen::() % domain_size as u32) - .collect(); - assert_eq!(indexes.len(), num_queries); - all_indexes.push(indexes); - } - - for coset_idx in 0..lde_degree { - let mut h_all_leaf_elems_expected = - Vec::with_capacity(num_cols * num_queries * num_elems_per_leaf); - let mut h_all_leaf_elems_actual = - Vec::with_capacity(num_cols * num_queries * num_elems_per_leaf); - let coset_indexes = &all_indexes[coset_idx]; - for query_idx in coset_indexes.iter() { - let expected_query = codeword.get_leaf_sources( - coset_idx, - domain_size, - lde_degree, - *query_idx as usize, - num_elems_per_leaf, - )?; - h_all_leaf_elems_expected.extend_from_slice(&expected_query); - } - - let effective_indexes: Vec<_> = compute_effective_indexes( - coset_indexes, - coset_idx, - domain_size, - num_elems_per_leaf, - ); - let mut d_effective_indexes = svec!(effective_indexes.len()); - mem::h2d(&effective_indexes, &mut d_effective_indexes)?; - - let num_queries = coset_indexes.len(); - batch_query_leaf_sources( - &d_effective_indexes, - num_queries, - &codeword, - num_cols, - domain_size * lde_degree, - num_elems_per_leaf, - &mut h_all_leaf_elems_actual, - )?; - - for (query_idx, expected_chunk) in h_all_leaf_elems_expected - .chunks(num_elems_per_leaf * num_cols) - .enumerate() - { - let (expected_c0, expected_c1) = expected_chunk.split_at(num_elems_per_leaf); - let (actual_c0_batch, actual_c1_batch) = - h_all_leaf_elems_actual.split_at(num_queries * num_elems_per_leaf); - let start = query_idx * num_elems_per_leaf; - let end = start + num_elems_per_leaf; - assert_eq!(expected_c0, &actual_c0_batch[start..end]); - assert_eq!(expected_c1, &actual_c1_batch[start..end]); - } - - for (query_idx, expected_chunk) in h_all_leaf_elems_expected - .chunks(num_elems_per_leaf * num_cols) - .enumerate() - { - let leaf_elems = construct_single_query_for_leaf_source_from_batch_sources( - &h_all_leaf_elems_actual, - num_queries, - query_idx, - num_cols, - num_elems_per_leaf, - ); - assert_eq!(expected_chunk.len(), leaf_elems.len()); - assert_eq!(expected_chunk, &leaf_elems); - } - } - Ok(()) - } - - #[serial] - #[test] - #[ignore] - fn test_batch_query_for_fri_layers() -> CudaResult<()> { - let _ctx = ProverContext::create()?; - let domain_size = 1 << 16; - let lde_degree = 2; - let num_cols = 2; - let num_queries = 1 << 10; - let cap_size = 4; - - run_batch_query_for_fri_layers(domain_size, lde_degree, num_cols, num_queries, cap_size)?; - - Ok(()) - } - - fn run_batch_query_for_fri_layers( - domain_size: usize, - lde_degree: usize, - num_cols: usize, - num_queries: usize, - cap_size: usize, - ) -> CudaResult<()> { - use crate::prover::construct_single_query_for_leaf_source_from_batch_sources; - use boojum::worker::Worker; - use rand::{Rng, SeedableRng}; - let mut rng = rand::rngs::StdRng::seed_from_u64(42u64); - - assert!(domain_size >= num_queries); - - let h_values = (0..num_cols * domain_size) - .map(|idx| F::from_u64_unchecked(idx as u64)) - .collect::>(); - let mut d_values = DVec::from_vec(h_values)?; - let mut d_storage = dvec!(d_values.len() * lde_degree); - batch_ntt(&mut d_values, false, true, domain_size, num_cols)?; - batch_bitreverse(&mut d_values, domain_size)?; - for (v, s) in d_values - .chunks(domain_size) - .zip(d_storage.chunks_mut(domain_size * lde_degree)) - { - for (coset_idx, c) in s.chunks_mut(domain_size).enumerate() { - coset_ntt_into( - v, - c, - bitreverse_index(coset_idx, lde_degree.trailing_zeros() as usize), - lde_degree, - )?; - } - } - let base_codeword = CodeWord::new_base_assuming_adjacent(d_storage, lde_degree); - let folding_schedule = vec![2, 2, 1]; - - let (fri_holder, _) = compute_fri::<_, Global>( - base_codeword.clone(), - &mut DefaultTranscript::new(()), - folding_schedule.clone(), - lde_degree, - cap_size, - &Worker::new(), - )?; - - assert!(domain_size <= (u32::MAX as usize)); - let mut all_indexes = Vec::with_capacity(lde_degree); - for _ in 0..lde_degree { - let indexes: Vec<_> = (0..num_queries) - .map(|_| rng.gen::() % domain_size as u32) - .collect(); - assert_eq!(indexes.len(), num_queries); - all_indexes.push(indexes); - } - let mut original_indexes = all_indexes.to_vec(); - let mut domain_size = domain_size; - - for (layer_idx, (codeword, oracle)) in fri_holder.flatten().into_iter().enumerate() { - dbg!(layer_idx); - let num_elems_per_leaf = oracle.num_elems_per_leaf; - assert_eq!(1 << folding_schedule[layer_idx], num_elems_per_leaf); - for coset_idx in 0..lde_degree { - let mut h_all_leaf_elems_expected = - Vec::with_capacity(num_cols * num_queries * num_elems_per_leaf); - let mut h_all_leaf_elems_actual = - Vec::with_capacity(num_cols * num_queries * num_elems_per_leaf); - let coset_indexes = &original_indexes[coset_idx]; - for query_idx in coset_indexes.iter().cloned() { - let expected_query = codeword.get_leaf_sources( - coset_idx, - domain_size, - lde_degree, - query_idx as usize, - num_elems_per_leaf, - )?; - h_all_leaf_elems_expected.extend_from_slice(&expected_query); - } - - let effective_indexes = compute_effective_indexes( - coset_indexes, - coset_idx, - domain_size, - num_elems_per_leaf, - ); - let mut d_effective_indexes = svec!(effective_indexes.len()); - mem::h2d(&effective_indexes, &mut d_effective_indexes)?; - - let num_queries = coset_indexes.len(); - batch_query_leaf_sources( - &d_effective_indexes, - num_queries, - codeword, - num_cols, - domain_size * lde_degree, - num_elems_per_leaf, - &mut h_all_leaf_elems_actual, - )?; - - for (query_idx, expected_chunk) in h_all_leaf_elems_expected - .chunks(num_elems_per_leaf * lde_degree) - .enumerate() - { - let (expected_c0, expected_c1) = expected_chunk.split_at(num_elems_per_leaf); - let (actual_c0_batch, actual_c1_batch) = - h_all_leaf_elems_actual.split_at(num_queries * num_elems_per_leaf); - let start = query_idx * num_elems_per_leaf; - let end = start + num_elems_per_leaf; - assert_eq!(&expected_c0[..], &actual_c0_batch[start..end]); - assert_eq!(&expected_c1[..], &actual_c1_batch[start..end]); - } - - for (query_idx, expected_chunk) in h_all_leaf_elems_expected - .chunks(num_elems_per_leaf * num_cols) - .enumerate() - { - let leaf_elems = construct_single_query_for_leaf_source_from_batch_sources( - &h_all_leaf_elems_actual, - num_queries, - query_idx, - num_cols, - num_elems_per_leaf, - ); - assert_eq!(expected_chunk.len(), leaf_elems.len()); - assert_eq!(expected_chunk, &leaf_elems); - } - } - - let log2_schedule = num_elems_per_leaf.trailing_zeros() as usize; - domain_size >>= log2_schedule; - for indexes in original_indexes.iter_mut() { - for index in indexes.iter_mut() { - *index >>= log2_schedule; - } - } - } - - Ok(()) - } - - #[serial] - #[test] - #[ignore] - fn test_batch_query_for_merkle_paths() -> CudaResult<()> { - let _ctx = ProverContext::create()?; - let domain_size = 1 << 4; - let lde_degree = 2; - let num_cols = 2; - let num_queries = 1 << 1; - let cap_size = 2; - - run_batch_query_for_merkle_paths(domain_size, lde_degree, num_cols, num_queries, cap_size)?; - - Ok(()) - } - - fn run_batch_query_for_merkle_paths( - domain_size: usize, - lde_degree: usize, - num_cols: usize, - num_queries: usize, - cap_size: usize, - ) -> CudaResult<()> { - use crate::prover::construct_single_query_for_merkle_path_from_batch_sources; - use boojum::worker::Worker; - use rand::{Rng, SeedableRng}; - let mut rng = rand::rngs::StdRng::seed_from_u64(42 as u64); - - assert!(domain_size >= num_queries); - - let h_values = (0..num_cols * domain_size) - .map(|idx| F::from_u64_unchecked(idx as u64)) - .collect::>(); - let mut d_values = DVec::from_vec(h_values)?; - let mut d_storage = dvec!(d_values.len() * lde_degree); - batch_ntt(&mut d_values, false, true, domain_size, num_cols)?; - batch_bitreverse(&mut d_values, domain_size)?; - for (v, s) in d_values - .chunks(domain_size) - .zip(d_storage.chunks_mut(domain_size * lde_degree)) - { - for (coset_idx, c) in s.chunks_mut(domain_size).enumerate() { - coset_ntt_into( - v, - c, - bitreverse_index(coset_idx, lde_degree.trailing_zeros() as usize), - lde_degree, - )?; - } - } - let base_codeword = CodeWord::new_base_assuming_adjacent(d_storage, lde_degree); - let folding_schedule = vec![1, 1]; - - let (fri_holder, _) = compute_fri::<_, Global>( - base_codeword.clone(), - &mut DefaultTranscript::new(()), - folding_schedule.clone(), - lde_degree, - cap_size, - &Worker::new(), - )?; - - assert!(domain_size <= (u32::MAX as usize)); - let mut all_indexes = Vec::with_capacity(lde_degree); - for _ in 0..lde_degree { - let indexes: Vec<_> = (0..num_queries) - .map(|_| rng.gen::() % domain_size as u32) - .collect(); - assert_eq!(indexes.len(), num_queries); - all_indexes.push(indexes); - } - let mut domain_size = domain_size; - - for (layer_idx, (codeword, oracle)) in fri_holder.flatten().into_iter().enumerate() { - dbg!(layer_idx); - let num_elems_per_leaf = oracle.num_elems_per_leaf; - assert_eq!(1 << folding_schedule[layer_idx], num_elems_per_leaf); - assert_eq!(lde_degree * domain_size, codeword.length()); - let num_leafs = lde_degree * domain_size / num_elems_per_leaf; - assert_eq!(num_leafs, oracle.num_leafs); - let num_layers = num_leafs.trailing_zeros() as usize; - let layers_to_skip = cap_size.trailing_zeros() as usize; - let num_actual_layers = num_layers - layers_to_skip; - for coset_idx in 0..lde_degree { - let mut h_all_proof_elems_expected = - Vec::with_capacity(num_actual_layers * num_queries); - let mut h_all_proof_elems_actual = - Vec::with_capacity(num_actual_layers * num_queries * NUM_EL_PER_HASH); - let coset_indexes = &all_indexes[coset_idx]; - assert_eq!(num_queries, coset_indexes.len()); - for query_idx in coset_indexes.iter().cloned() { - let expected_query = oracle.query::( - codeword, - coset_idx, - lde_degree, - query_idx as usize, - domain_size, - )?; - dbg!(query_idx); - dbg!(&expected_query.proof); - h_all_proof_elems_expected.extend_from_slice(&expected_query.proof); - } - assert_eq!( - h_all_proof_elems_expected.len(), - h_all_proof_elems_expected.capacity() - ); - - let effective_indexes = compute_effective_indexes( - coset_indexes, - coset_idx, - domain_size, - num_elems_per_leaf, - ); - dbg!(&effective_indexes); - let mut d_effective_indexes = svec!(effective_indexes.len()); - mem::h2d(&effective_indexes, &mut d_effective_indexes)?; - - batch_query_tree::( - &d_effective_indexes, - num_queries, - oracle, - cap_size, - domain_size * lde_degree, - num_elems_per_leaf, - &mut h_all_proof_elems_actual, - )?; - - assert_eq!( - h_all_proof_elems_actual.len(), - h_all_proof_elems_actual.capacity() - ); - dbg!(oracle.nodes.to_vec().unwrap()); - dbg!(&h_all_proof_elems_expected); - dbg!(&h_all_proof_elems_actual); - - for (query_idx, expected_chunk) in h_all_proof_elems_expected - .chunks(num_actual_layers) - .enumerate() - { - let actual_chunk = construct_single_query_for_merkle_path_from_batch_sources( - &h_all_proof_elems_actual, - cap_size, - num_queries, - query_idx, - num_elems_per_leaf, - domain_size * lde_degree, - ); - assert_eq!(actual_chunk.len(), num_actual_layers); - for (expected, actual) in expected_chunk.iter().zip(actual_chunk.iter()) { - assert_eq!(expected, actual); - } - } - } - - let log2_schedule = num_elems_per_leaf.trailing_zeros() as usize; - domain_size >>= log2_schedule; - for coset_idxes in all_indexes.iter_mut() { - for index in coset_idxes.iter_mut() { - *index >>= log2_schedule; - } - } - } - - Ok(()) - } -} diff --git a/crates/shivini/src/poly.rs b/crates/shivini/src/poly.rs index c0fe6ca..176f0b8 100644 --- a/crates/shivini/src/poly.rs +++ b/crates/shivini/src/poly.rs @@ -1,4 +1,5 @@ use super::*; +use era_cudart::slice::CudaSlice; pub trait PolyForm: Clone {} @@ -6,6 +7,7 @@ pub trait PolyForm: Clone {} pub struct LagrangeBasis; impl PolyForm for LagrangeBasis {} +#[allow(clippy::upper_case_acronyms)] #[derive(Debug, Clone)] pub struct LDE; impl PolyForm for LDE {} @@ -66,8 +68,8 @@ pub enum PolyStorage<'a> { impl<'a> AsRef<[F]> for PolyStorage<'a> { fn as_ref(&self) -> &[F] { match self { - PolyStorage::Borrowed(inner) => *inner, - PolyStorage::BorrowedMut(inner) => *inner, + PolyStorage::Borrowed(inner) => inner, + PolyStorage::BorrowedMut(inner) => inner, PolyStorage::Owned(inner) => inner, } } @@ -76,7 +78,7 @@ impl<'a> AsMut<[F]> for PolyStorage<'a> { fn as_mut(&mut self) -> &mut [F] { match self { PolyStorage::Borrowed(_) => unimplemented!(), - PolyStorage::BorrowedMut(inner) => *inner, + PolyStorage::BorrowedMut(inner) => inner, PolyStorage::Owned(inner) => inner, } } @@ -99,7 +101,6 @@ impl<'a> PolyStorage<'a> { } } - #[allow(dead_code)] pub fn copy_from_device_slice(&mut self, other: &[F]) -> CudaResult<()> { match self { PolyStorage::Borrowed(_) => unimplemented!(), @@ -169,7 +170,6 @@ impl<'a, P: PolyForm> Poly<'a, P> { } } - #[allow(dead_code)] pub fn empty(domain_size: usize) -> CudaResult { let storage = dvec!(domain_size); Ok(Self { @@ -178,7 +178,6 @@ impl<'a, P: PolyForm> Poly<'a, P> { }) } - #[allow(dead_code)] pub fn zero(domain_size: usize) -> CudaResult { let mut storage = dvec!(domain_size); helpers::set_zero(&mut storage)?; @@ -188,7 +187,6 @@ impl<'a, P: PolyForm> Poly<'a, P> { }) } - #[allow(dead_code)] pub fn one(domain_size: usize) -> CudaResult { let mut storage = dvec!(domain_size); let el = DF::one()?; @@ -249,6 +247,27 @@ impl<'a, P: PolyForm> AsSingleSlice for ComplexPoly<'a, P> { } } +impl<'a, P: PolyForm> From> for DVec { + fn from(value: ComplexPoly<'a, P>) -> Self { + assert!(value.is_owned()); + let ComplexPoly { c0, c1 } = value; + let (c0_ptr, c0_len, c0_capacity, c0_allocator) = + c0.storage.into_inner().into_raw_parts_with_alloc(); + let (c1_ptr, c1_len, c1_capacity, c1_allocator) = + c1.storage.into_inner().into_raw_parts_with_alloc(); + unsafe { + assert_eq!(c0_ptr.add(c0_len), c1_ptr); + } + drop(c1_allocator); + DVec::from_raw_parts_in( + c0_ptr, + c0_len + c1_len, + c0_capacity + c1_capacity, + c0_allocator, + ) + } +} + impl<'a, P: PolyForm> From<&'a [F]> for Poly<'a, P> { fn from(values: &'a [F]) -> Self { Poly { @@ -291,7 +310,6 @@ impl<'a, P: PolyForm> ComplexPoly<'a, P> { Self { c0, c1 } } - #[allow(dead_code)] pub fn is_owned(&self) -> bool { let c0 = match self.c0.storage { PolyStorage::Borrowed(_) => false, @@ -374,37 +392,29 @@ impl<'a> Poly<'a, LagrangeBasis> { let tmp_size = helpers::calculate_tmp_buffer_size_for_grand_sum(self.domain_size())?; let mut tmp = dvec!(tmp_size); let sum = arith::grand_sum(self.storage.as_ref(), &mut tmp)?; - let sum: DF = DF::from(sum); - Ok(sum) } } impl<'a> Poly<'a, MonomialBasis> { - #[allow(dead_code)] pub fn evaluate_at_ext(&self, at: &DExt) -> CudaResult { arith::evaluate_base_at_ext(self.storage.as_ref(), at) } // use for monomials until we have a barycentric - #[allow(dead_code)] pub fn grand_sum(&self) -> CudaResult { let tmp_size = helpers::calculate_tmp_buffer_size_for_grand_sum(self.domain_size())?; let mut tmp = dvec!(tmp_size); let sum = arith::grand_sum(self.storage.as_ref(), &mut tmp)?; - let sum: DF = DF::from(sum); - Ok(sum) } - #[allow(dead_code)] pub fn bitreverse(&mut self) -> CudaResult<()> { ntt::bitreverse(self.storage.as_mut()) } } impl<'a> ComplexPoly<'a, CosetEvaluations> { - #[allow(dead_code)] pub fn rotate(&mut self) -> CudaResult<()> { self.c0.bitreverse()?; helpers::rotate_left(self.c0.storage.as_mut())?; @@ -442,7 +452,6 @@ impl<'a> ComplexPoly<'a, MonomialBasis> { arith::evaluate_ext_at_ext(self.c0.storage.as_ref(), self.c1.storage.as_ref(), at) } - #[allow(dead_code)] pub fn bitreverse(&mut self) -> CudaResult<()> { self.c0.bitreverse()?; self.c1.bitreverse()?; @@ -450,7 +459,6 @@ impl<'a> ComplexPoly<'a, MonomialBasis> { Ok(()) } - #[allow(dead_code)] pub fn grand_sum(&self) -> CudaResult { let sum_c0 = self.c0.grand_sum()?; let sum_c1 = self.c1.grand_sum()?; @@ -458,89 +466,72 @@ impl<'a> ComplexPoly<'a, MonomialBasis> { Ok(DExt::new(sum_c0, sum_c1)) } - pub fn into_degree_n_polys( + pub fn into_degree_n_polys( self, domain_size: usize, - ) -> CudaResult>> { + mut storage: GenericStorage, + ) -> CudaResult> { let ComplexPoly { c0, c1 } = self; - - let c0_chunks = c0.storage.into_inner().into_adjacent_chunks(domain_size); - let c1_chunks = c1.storage.into_inner().into_adjacent_chunks(domain_size); - let all_polys = dvec!(2 * c0_chunks.len() * domain_size); - - let mut all_polys_iter = all_polys.into_adjacent_chunks(domain_size).into_iter(); - - let mut chunks = vec![]; - for (c0_chunk, c1_chunk) in c0_chunks.into_iter().zip(c1_chunks.into_iter()) { + let c0 = c0.storage.into_inner(); + let c0_chunks = c0.chunks(domain_size); + let c1 = c1.storage.into_inner(); + let c1_chunks = c1.chunks(domain_size); + let storage_chunks = storage.inner.chunks_mut(domain_size).array_chunks::<2>(); + for ((c0_src, c1_src), [c0_dst, c1_dst]) in c0_chunks.zip(c1_chunks).zip(storage_chunks) { // we want both c0 and c1 to be adjacent - let mut new_c0 = all_polys_iter.next().unwrap(); - let mut new_c1 = all_polys_iter.next().unwrap(); - new_c0.copy_from_device_slice(&c0_chunk)?; - new_c1.copy_from_device_slice(&c1_chunk)?; - let poly = ComplexPoly::new(Poly::from(new_c0), Poly::from(new_c1)); - chunks.push(poly); + mem::d2d(c0_src, c0_dst)?; + mem::d2d(c1_src, c1_dst)?; } - Ok(chunks) + unsafe { Ok(storage.transmute()) } } } macro_rules! impl_common_poly { ($form:tt) => { impl<'a> Poly<'a, $form> { - #[allow(dead_code)] - pub fn add_assign<'b>(&mut self, other: &Poly<'b, $form>) -> CudaResult<()> { + pub fn add_assign(&mut self, other: &Poly<$form>) -> CudaResult<()> { arith::add_assign(self.storage.as_mut(), other.storage.as_ref()) } - #[allow(dead_code)] - pub fn sub_assign<'b>(&mut self, other: &Poly<'b, $form>) -> CudaResult<()> { + pub fn sub_assign(&mut self, other: &Poly<$form>) -> CudaResult<()> { arith::sub_assign(self.storage.as_mut(), other.storage.as_ref()) } - #[allow(dead_code)] - pub fn mul_assign<'b>(&mut self, other: &Poly<'b, $form>) -> CudaResult<()> { + pub fn mul_assign(&mut self, other: &Poly<$form>) -> CudaResult<()> { assert_eq!(self.storage.len(), other.storage.len()); arith::mul_assign(self.storage.as_mut(), other.storage.as_ref()) } - #[allow(dead_code)] pub fn square(&mut self) -> CudaResult<()> { let other = self.clone(); arith::mul_assign(self.storage.as_mut(), other.storage.as_ref()) } - #[allow(dead_code)] pub fn add_constant(&mut self, value: &DF) -> CudaResult<()> { arith::add_constant(self.storage.as_mut(), value) } - #[allow(dead_code)] pub fn sub_constant(&mut self, value: &DF) -> CudaResult<()> { arith::sub_constant(self.storage.as_mut(), &value) } - #[allow(dead_code)] pub fn scale(&mut self, value: &DF) -> CudaResult<()> { arith::scale(self.storage.as_mut(), value) } - #[allow(dead_code)] pub fn negate(&mut self) -> CudaResult<()> { arith::negate(self.storage.as_mut()) } - #[allow(dead_code)] pub fn inverse(&mut self) -> CudaResult<()> { arith::inverse(self.storage.as_mut()) } - #[allow(dead_code)] pub fn bitreverse(&mut self) -> CudaResult<()> { ntt::bitreverse(self.storage.as_mut()) } - #[allow(dead_code)] pub fn shifted_grand_product(&mut self) -> CudaResult<()> { let domain_size = self.storage.len(); let tmp_size = helpers::calculate_tmp_buffer_size_for_grand_product(domain_size)?; @@ -558,7 +549,6 @@ impl_common_poly!(CosetEvaluations); macro_rules! impl_common_complex_poly { ($form:tt) => { impl<'a> ComplexPoly<'a, $form> { - #[allow(dead_code)] pub fn from_real(c0: &Poly<'a, $form>) -> CudaResult> { assert!(c0.is_owned()); let domain_size = c0.storage.len(); @@ -580,8 +570,7 @@ macro_rules! impl_common_complex_poly { }) } - #[allow(dead_code)] - pub fn add_assign<'b>(&mut self, other: &ComplexPoly<'b, $form>) -> CudaResult<()> { + pub fn add_assign(&mut self, other: &ComplexPoly<$form>) -> CudaResult<()> { assert_eq!(self.c0.storage.len(), other.c0.storage.len()); assert_eq!(self.c1.storage.len(), other.c1.storage.len()); self.c0.add_assign(&other.c0)?; @@ -590,16 +579,14 @@ macro_rules! impl_common_complex_poly { Ok(()) } - #[allow(dead_code)] - pub fn add_assign_real<'b>(&mut self, other: &Poly<'b, $form>) -> CudaResult<()> { + pub fn add_assign_real(&mut self, other: &Poly<$form>) -> CudaResult<()> { assert_eq!(self.c0.storage.len(), other.storage.len()); self.c0.add_assign(other)?; Ok(()) } - #[allow(dead_code)] - pub fn sub_assign<'b>(&mut self, other: &ComplexPoly<'b, $form>) -> CudaResult<()> { + pub fn sub_assign(&mut self, other: &ComplexPoly<$form>) -> CudaResult<()> { assert_eq!(self.c0.storage.len(), other.c0.storage.len()); assert_eq!(self.c1.storage.len(), other.c1.storage.len()); self.c0.sub_assign(&other.c0)?; @@ -608,16 +595,14 @@ macro_rules! impl_common_complex_poly { Ok(()) } - #[allow(dead_code)] - pub fn sub_assign_real<'b>(&mut self, other: &Poly<'b, $form>) -> CudaResult<()> { + pub fn sub_assign_real(&mut self, other: &Poly<$form>) -> CudaResult<()> { assert_eq!(self.c0.storage.len(), other.storage.len()); self.c0.sub_assign(other)?; Ok(()) } - #[allow(dead_code)] - pub fn mul_assign<'b>(&mut self, other: &ComplexPoly<'b, $form>) -> CudaResult<()> { + pub fn mul_assign(&mut self, other: &ComplexPoly<$form>) -> CudaResult<()> { arith::mul_assign_complex( self.c0.storage.as_mut(), self.c1.storage.as_mut(), @@ -626,8 +611,7 @@ macro_rules! impl_common_complex_poly { ) } - #[allow(dead_code)] - pub fn mul_assign_real<'b>(&mut self, other: &Poly<'b, $form>) -> CudaResult<()> { + pub fn mul_assign_real(&mut self, other: &Poly<$form>) -> CudaResult<()> { assert_eq!(self.c0.storage.len(), other.storage.len()); assert_eq!(self.c1.storage.len(), other.storage.len()); self.c0.mul_assign(&other)?; @@ -636,7 +620,6 @@ macro_rules! impl_common_complex_poly { Ok(()) } - #[allow(dead_code)] pub fn add_constant(&mut self, value: &DExt) -> CudaResult<()> { self.c0.add_constant(&value.c0)?; self.c1.add_constant(&value.c1)?; @@ -644,7 +627,6 @@ macro_rules! impl_common_complex_poly { Ok(()) } - #[allow(dead_code)] pub fn sub_constant(&mut self, value: &DExt) -> CudaResult<()> { self.c0.sub_constant(&value.c0)?; self.c1.sub_constant(&value.c1)?; @@ -652,7 +634,6 @@ macro_rules! impl_common_complex_poly { Ok(()) } - #[allow(dead_code)] pub fn scale_real(&mut self, point: &DExt) -> CudaResult<()> { // self.c1.storage.copy_from_device_slice(&self.c0.storage)?; mem::d2d(self.c0.storage.as_ref(), self.c1.storage.as_mut())?; @@ -662,7 +643,6 @@ macro_rules! impl_common_complex_poly { Ok(()) } - #[allow(dead_code)] pub fn scale(&mut self, point: &DExt) -> CudaResult<()> { let non_residue = DF::non_residue()?; @@ -683,7 +663,6 @@ macro_rules! impl_common_complex_poly { Ok(()) } - #[allow(dead_code)] pub fn negate(&mut self) -> CudaResult<()> { self.c0.negate()?; self.c1.negate()?; @@ -691,12 +670,10 @@ macro_rules! impl_common_complex_poly { Ok(()) } - #[allow(dead_code)] pub fn inverse(&mut self) -> CudaResult<()> { arith::inverse_ef(self.c0.storage.as_mut(), self.c1.storage.as_mut()) } - #[allow(dead_code)] pub fn shifted_grand_product(&mut self) -> CudaResult<()> { let tmp_size = helpers::calculate_tmp_buffer_size_for_grand_product( 2 * self.c0.storage.len(), @@ -711,7 +688,6 @@ macro_rules! impl_common_complex_poly { Ok(()) } - #[allow(dead_code)] pub fn bitreverse(&mut self) -> CudaResult<()> { self.c0.bitreverse()?; self.c1.bitreverse()?; diff --git a/crates/shivini/src/pow.rs b/crates/shivini/src/pow.rs index 94d0442..f08c47e 100644 --- a/crates/shivini/src/pow.rs +++ b/crates/shivini/src/pow.rs @@ -9,7 +9,7 @@ impl PoWRunner for DeviceBlake2sPOW { fn run_from_bytes(h_seed: Vec, pow_bits: u32, _worker: &boojum::worker::Worker) -> u64 { use era_cudart::slice::DeviceSlice; let _seed_len = h_seed.len(); - let unit_len = std::mem::size_of::(); + let unit_len = size_of::(); assert_eq!(h_seed.len() % unit_len, 0); let num_elems = h_seed.len() / unit_len; let mut seed = svec!(num_elems); @@ -48,7 +48,7 @@ impl PoWRunner for DeviceBlake2sPOW { let mut new_transcript = Blake2s256::new(); new_transcript.update(&seed); - new_transcript.update(&challenge.to_le_bytes()); + new_transcript.update(challenge.to_le_bytes()); let mut le_bytes = [0u8; 8]; le_bytes.copy_from_slice(&new_transcript.finalize().as_slice()[..8]); diff --git a/crates/shivini/src/primitives/arith.rs b/crates/shivini/src/primitives/arith.rs index 7e8c2ba..d9343e1 100644 --- a/crates/shivini/src/primitives/arith.rs +++ b/crates/shivini/src/primitives/arith.rs @@ -1,6 +1,8 @@ use super::*; -use boojum_cuda::device_structures::{DeviceMatrix, DeviceMatrixMut, Vectorized}; +use boojum_cuda::device_structures::{ + DeviceMatrix, DeviceMatrixMut, DeviceVectorChunkMut, Vectorized, +}; use boojum_cuda::extension_field::VectorizedExtensionField; // arithmetic operations use boojum_cuda::ops_cub::device_scan::*; @@ -43,6 +45,7 @@ pub fn mul_assign(this: &mut [F], other: &[F]) -> CudaResult<()> { } } +#[allow(clippy::upper_case_acronyms)] pub fn mul_assign_complex( c0_this: &mut [F], c1_this: &mut [F], @@ -60,8 +63,8 @@ pub fn mul_assign_complex( assert_eq!(c0_this_ptr.add(domain_size), c1_this.as_ptr()); } let this_ptr = c0_this_ptr as *mut VEF; - let mut this_slice: &mut [VEF] = unsafe { slice::from_raw_parts_mut(this_ptr, domain_size) }; - let this_vector = unsafe { DeviceSlice::from_mut_slice(&mut this_slice) }; + let this_slice: &mut [VEF] = unsafe { slice::from_raw_parts_mut(this_ptr, domain_size) }; + let this_vector = unsafe { DeviceSlice::from_mut_slice(this_slice) }; let c0_other_ptr = c0_other.as_ptr(); unsafe { @@ -69,7 +72,7 @@ pub fn mul_assign_complex( } let other_ptr = c0_other_ptr as *const VEF; let other_slice: &[VEF] = unsafe { slice::from_raw_parts(other_ptr, domain_size) }; - let other_vector = unsafe { DeviceSlice::from_slice(&other_slice) }; + let other_vector = unsafe { DeviceSlice::from_slice(other_slice) }; if_not_dry_run! { mul_into_x(this_vector, other_vector, get_stream()) } @@ -118,6 +121,7 @@ pub fn inverse(values: &mut [F]) -> CudaResult<()> { } } +#[allow(clippy::upper_case_acronyms)] pub fn inverse_ef(c0: &mut [F], c1: &mut [F]) -> CudaResult<()> { use std::slice; type VEF = VectorizedExtensionField; @@ -128,9 +132,8 @@ pub fn inverse_ef(c0: &mut [F], c1: &mut [F]) -> CudaResult<()> { assert_eq!(c0_ptr.add(domain_size), c1.as_ptr()); } let values_ptr = c0_ptr as *mut VEF; - let mut values_slice: &mut [VEF] = - unsafe { slice::from_raw_parts_mut(values_ptr, domain_size) }; - let values_vector = unsafe { DeviceSlice::from_mut_slice(&mut values_slice) }; + let values_slice: &mut [VEF] = unsafe { slice::from_raw_parts_mut(values_ptr, domain_size) }; + let values_vector = unsafe { DeviceSlice::from_mut_slice(values_slice) }; if_not_dry_run! { boojum_cuda::ops_complex::batch_inv_in_place(values_vector, get_stream()) } @@ -171,8 +174,8 @@ pub fn complex_shifted_grand_product(c0: &mut [F], c1: &mut [F], tmp: &mut [F]) assert_eq!(c0.len(), c1.len()); let mut values_vectorized = dvec!(2 * domain_size); - mem::d2d(&c0, &mut values_vectorized[..domain_size])?; - mem::d2d(&c1, &mut values_vectorized[domain_size..])?; + mem::d2d(c0, &mut values_vectorized[..domain_size])?; + mem::d2d(c1, &mut values_vectorized[domain_size..])?; let mut values_tuple: DVec = dvec!(2 * domain_size); @@ -241,7 +244,7 @@ pub fn grand_sum(values: &[F], tmp: &mut [F]) -> CudaResult { } pub fn evaluate_base_at_ext(values: &[F], point: &DExt) -> CudaResult { - assert!(values.is_empty() == false); + assert!(!values.is_empty()); let domain_size = values.len(); assert!(domain_size.is_power_of_two()); @@ -253,10 +256,10 @@ pub fn evaluate_base_at_ext(values: &[F], point: &DExt) -> CudaResult { let tmp_size = helpers::calculate_tmp_buffer_size_for_grand_product(2 * domain_size)?; let mut tmp = dvec!(tmp_size); - arith::complex_shifted_grand_product(&mut c0_values, &mut c1_values, &mut tmp)?; + complex_shifted_grand_product(&mut c0_values, &mut c1_values, &mut tmp)?; - arith::mul_assign(&mut c0_values, values)?; - arith::mul_assign(&mut c1_values, values)?; + mul_assign(&mut c0_values, values)?; + mul_assign(&mut c1_values, values)?; let tmp_size2 = helpers::calculate_tmp_buffer_size_for_grand_sum(domain_size)?; let mut tmp = if tmp_size2 > tmp_size { @@ -265,8 +268,8 @@ pub fn evaluate_base_at_ext(values: &[F], point: &DExt) -> CudaResult { tmp }; - let c0 = arith::grand_sum(&c0_values, &mut tmp)?; - let c1 = arith::grand_sum(&c1_values, &mut tmp)?; + let c0 = grand_sum(&c0_values, &mut tmp)?; + let c1 = grand_sum(&c1_values, &mut tmp)?; let result = DExt::new(c0, c1); @@ -274,7 +277,7 @@ pub fn evaluate_base_at_ext(values: &[F], point: &DExt) -> CudaResult { } pub fn evaluate_ext_at_ext(values_c0: &[F], values_c1: &[F], point: &DExt) -> CudaResult { - assert!(values_c0.is_empty() == false); + assert!(!values_c0.is_empty()); assert_eq!(values_c0.len(), values_c1.len()); let domain_size = values_c0.len(); @@ -288,19 +291,19 @@ pub fn evaluate_ext_at_ext(values_c0: &[F], values_c1: &[F], point: &DExt) -> Cu let tmp_size = helpers::calculate_tmp_buffer_size_for_grand_product(2 * domain_size)?; let mut tmp = dvec!(tmp_size); - arith::complex_shifted_grand_product(&mut tmp_c0_values, &mut tmp_c1_values, &mut tmp)?; + complex_shifted_grand_product(&mut tmp_c0_values, &mut tmp_c1_values, &mut tmp)?; let non_residue = DF::non_residue()?; let mut t0 = dvec!(domain_size); - mem::d2d(&values_c0, &mut t0)?; + mem::d2d(values_c0, &mut t0)?; let mut t1 = dvec!(domain_size); - mem::d2d(&values_c1, &mut t1)?; + mem::d2d(values_c1, &mut t1)?; - arith::mul_assign(&mut t0, &tmp_c0_values)?; - arith::mul_assign(&mut t1, &tmp_c1_values)?; - arith::scale(&mut t1, &non_residue)?; - arith::add_assign(&mut t0, &t1)?; + mul_assign(&mut t0, &tmp_c0_values)?; + mul_assign(&mut t1, &tmp_c1_values)?; + scale(&mut t1, &non_residue)?; + add_assign(&mut t0, &t1)?; let tmp_size2 = helpers::calculate_tmp_buffer_size_for_grand_sum(domain_size)?; let mut tmp = if tmp_size2 > tmp_size { @@ -309,115 +312,33 @@ pub fn evaluate_ext_at_ext(values_c0: &[F], values_c1: &[F], point: &DExt) -> Cu tmp }; - let c0 = arith::grand_sum(&t0, &mut tmp)?; + let c0 = grand_sum(&t0, &mut tmp)?; - mem::d2d(&values_c0, &mut t0)?; - mem::d2d(&values_c1, &mut t1)?; + mem::d2d(values_c0, &mut t0)?; + mem::d2d(values_c1, &mut t1)?; - arith::mul_assign(&mut t0, &tmp_c1_values)?; - arith::mul_assign(&mut t1, &tmp_c0_values)?; - arith::add_assign(&mut t0, &mut t1)?; - let c1 = arith::grand_sum(&t0, &mut tmp)?; + mul_assign(&mut t0, &tmp_c1_values)?; + mul_assign(&mut t1, &tmp_c0_values)?; + add_assign(&mut t0, &t1)?; + let c1 = grand_sum(&t0, &mut tmp)?; let result = DExt::new(c0, c1); Ok(result) } -#[allow(dead_code)] -pub fn fold( - c0: &[F], - c1: &[F], - dst_c0: &mut [F], - dst_c1: &mut [F], - coset_inv: DF, - challenge: DExt, +pub fn fold_chunk( + coset_inv: F, + challenge: &DeviceVariable, + root_offset: usize, + src: &DVec, + dst: &mut DVec, + dst_offset: usize, ) -> CudaResult<()> { - let domain_size = c0.len(); - let fold_size = domain_size >> 1; - assert!(domain_size.is_power_of_two()); - assert!(fold_size.is_power_of_two()); - assert_eq!(c0.len(), c1.len()); - assert_eq!(dst_c0.len(), dst_c1.len()); - assert_eq!(dst_c0.len(), fold_size); - - let mut values = dvec!(2 * domain_size); - mem::d2d(c0, &mut values[..domain_size])?; - mem::d2d(c1, &mut values[domain_size..])?; - - let values = unsafe { - let values = DeviceSlice::from_slice(&values[..]); - values.transmute::() - }; - - let mut d_challenge: SVec = svec!(1); - let d_challenge = unsafe { - mem::d2d( - &challenge.c0.inner[..], - &mut d_challenge.data[0].coeffs[..1], - )?; - mem::d2d( - &challenge.c1.inner[..], - &mut d_challenge.data[0].coeffs[1..], - )?; - DeviceVariable::from_ref(&d_challenge[0]) - }; - - let mut result: DVec = dvec!(2 * fold_size); - let result_slice = unsafe { - let result = DeviceSlice::from_mut_slice(&mut result); - result.transmute_mut() - }; - - let coset_inv = coset_inv.inner.to_vec()?; - if_not_dry_run!(boojum_cuda::ops_complex::fold( - coset_inv[0], // host data - &d_challenge[0], - values, - result_slice, - get_stream(), - ))?; - - mem::d2d(&result[..fold_size], dst_c0)?; - mem::d2d(&result[fold_size..], dst_c1)?; - - Ok(()) -} - -pub fn fold_flattened(src: &[F], dst: &mut [F], coset_inv: F, challenge: &DExt) -> CudaResult<()> { - let domain_size = src.len(); - let fold_size = domain_size >> 1; - assert!(domain_size.is_power_of_two()); - assert!(fold_size.is_power_of_two()); - assert_eq!(dst.len(), fold_size); - - let values = unsafe { - let values = DeviceSlice::from_slice(&src[..]); - values.transmute::() - }; - - // TODO - let mut d_challenge: SVec = svec!(1); - let d_challenge = unsafe { - mem::d2d( - &challenge.c0.inner[..], - &mut d_challenge.data[0].coeffs[..1], - )?; - mem::d2d( - &challenge.c1.inner[..], - &mut d_challenge.data[0].coeffs[1..], - )?; - DeviceVariable::from_ref(&d_challenge[0]) - }; - - let _result: DVec = dvec!(2 * fold_size); - let result_ref = unsafe { - let result = DeviceSlice::from_mut_slice(dst); - result.transmute_mut() - }; - if_not_dry_run! { - boojum_cuda::ops_complex::fold(coset_inv, &d_challenge[0], values, result_ref, get_stream()) + let src : &DeviceSlice = src.into(); + let mut dst = DeviceVectorChunkMut::new(dst.into(), dst_offset, src.len() >> 1); + boojum_cuda::ops_complex::fold(coset_inv, challenge, root_offset, src , &mut dst, get_stream()) } } @@ -430,7 +351,7 @@ pub fn compute_powers_ext(base: &DExt, size: usize) -> CudaResult<[DVec; 2]> let tmp_size = helpers::calculate_tmp_buffer_size_for_grand_product(2 * size)?; let mut tmp = dvec!(tmp_size); - arith::complex_shifted_grand_product(&mut powers_c0, &mut powers_c1, &mut tmp)?; + complex_shifted_grand_product(&mut powers_c0, &mut powers_c1, &mut tmp)?; Ok([powers_c0, powers_c1]) } @@ -542,13 +463,13 @@ fn barycentric_evaluate let values_matrix = DeviceMatrix::new(values, domain_size); let v_bases = std::slice::from_raw_parts(bases.as_ptr() as *const _, domain_size); - let bases = DeviceSlice::from_slice(&v_bases); + let bases = DeviceSlice::from_slice(v_bases); (values_matrix, bases) }; // allocate necessary tmp buffers let (partial_reduce_temp_elems, final_cub_reduce_temp_bytes) = - boojum_cuda::barycentric::get_batch_eval_temp_storage_sizes::(&values_matrix).unwrap(); + boojum_cuda::barycentric::get_batch_eval_temp_storage_sizes::(&values_matrix)?; let temp_storage_partial_reduce: DVec = dvec!(partial_reduce_temp_elems); @@ -587,6 +508,8 @@ fn barycentric_evaluate } // TODO: Rework to accept slices +#[allow(clippy::upper_case_acronyms)] +#[allow(clippy::too_many_arguments)] pub fn partial_products_num_denom_chunk<'a>( num: &mut ComplexPoly<'a, LagrangeBasis>, denom: &mut ComplexPoly<'a, LagrangeBasis>, @@ -613,8 +536,8 @@ pub fn partial_products_num_denom_chunk<'a>( ); } let num_ptr = num_c0_ptr as *mut VEF; - let mut num_slice: &mut [VEF] = unsafe { slice::from_raw_parts_mut(num_ptr, domain_size) }; - let num_vector = unsafe { DeviceSlice::from_mut_slice(&mut num_slice) }; + let num_slice: &mut [VEF] = unsafe { slice::from_raw_parts_mut(num_ptr, domain_size) }; + let num_vector = unsafe { DeviceSlice::from_mut_slice(num_slice) }; assert_eq!(denom.c0.storage.len(), domain_size); let denom_c0_ptr = denom.c0.storage.as_ref().as_ptr(); @@ -625,29 +548,29 @@ pub fn partial_products_num_denom_chunk<'a>( ); } let denom_ptr = denom_c0_ptr as *mut VEF; - let mut denom_slice: &mut [VEF] = unsafe { slice::from_raw_parts_mut(denom_ptr, domain_size) }; - let denom_vector = unsafe { DeviceSlice::from_mut_slice(&mut denom_slice) }; + let denom_slice: &mut [VEF] = unsafe { slice::from_raw_parts_mut(denom_ptr, domain_size) }; + let denom_vector = unsafe { DeviceSlice::from_mut_slice(denom_slice) }; assert_eq!(variable_cols_chunk.len(), num_polys); - let variable_cols_ptr = variable_cols_chunk[0].storage.as_ref().as_ptr() as *const F; + let variable_cols_ptr = variable_cols_chunk[0].storage.as_ref().as_ptr(); let variable_cols_slice = unsafe { slice::from_raw_parts(variable_cols_ptr, num_polys * domain_size) }; let variable_cols_device_slice = unsafe { DeviceSlice::from_slice(variable_cols_slice) }; let variable_cols_matrix = DeviceMatrix::new(variable_cols_device_slice, domain_size); assert_eq!(sigma_cols_chunk.len(), num_polys); - let sigma_cols_ptr = sigma_cols_chunk[0].storage.as_ref().as_ptr() as *const F; + let sigma_cols_ptr = sigma_cols_chunk[0].storage.as_ref().as_ptr(); let sigma_cols_slice = unsafe { slice::from_raw_parts(sigma_cols_ptr, num_polys * domain_size) }; let sigma_cols_device_slice = unsafe { DeviceSlice::from_slice(sigma_cols_slice) }; let sigma_cols_matrix = DeviceMatrix::new(sigma_cols_device_slice, domain_size); assert_eq!(omega_values.len(), domain_size); - let omega_values_vector = unsafe { DeviceSlice::from_slice(&omega_values) }; + let omega_values_vector = unsafe { DeviceSlice::from_slice(omega_values) }; assert_eq!(non_residues_by_beta_chunk.len(), num_polys); let non_residues_by_beta_vector = - unsafe { DeviceSlice::from_slice(&non_residues_by_beta_chunk) }; + unsafe { DeviceSlice::from_slice(non_residues_by_beta_chunk) }; let beta_c0 = unsafe { DeviceVariable::from_ref(&beta.c0.inner[0]) }; let beta_c1 = unsafe { DeviceVariable::from_ref(&beta.c1.inner[0]) }; @@ -673,7 +596,9 @@ pub fn partial_products_num_denom_chunk<'a>( } // TODO: Rework to accept slices -pub fn partial_products_quotient_terms<'a, 'b>( +#[allow(clippy::upper_case_acronyms)] +#[allow(clippy::too_many_arguments)] +pub fn partial_products_quotient_terms<'a>( partial_products: &'a [ComplexPoly<'a, CosetEvaluations>], z_poly: &'a ComplexPoly<'a, CosetEvaluations>, variable_cols: &[Poly<'a, CosetEvaluations>], @@ -683,7 +608,7 @@ pub fn partial_products_quotient_terms<'a, 'b>( non_residues_by_beta: &[EF], beta: &DExt, gamma: &DExt, - quotient: &mut ComplexPoly<'b, CosetEvaluations>, + quotient: &mut ComplexPoly, num_cols_per_product: usize, num_polys: usize, domain_size: usize, @@ -692,8 +617,8 @@ pub fn partial_products_quotient_terms<'a, 'b>( type VEF = VectorizedExtensionField; // Handling empty partial products would require special-case logic. - // For now we don't need it. Assert as a reminder. - assert!(partial_products.len() > 0); + // For now, we don't need it. Assert as a reminder. + assert!(!partial_products.is_empty()); let num_partial_products = ((num_polys + num_cols_per_product - 1) / num_cols_per_product) - 1; @@ -714,32 +639,32 @@ pub fn partial_products_quotient_terms<'a, 'b>( } let z_poly_ptr = z_poly_c0_ptr as *const VEF; let z_poly_slice: &[VEF] = unsafe { slice::from_raw_parts(z_poly_ptr, domain_size) }; - let z_poly_vector = unsafe { DeviceSlice::from_slice(&z_poly_slice) }; + let z_poly_vector = unsafe { DeviceSlice::from_slice(z_poly_slice) }; assert_eq!(variable_cols.len(), num_polys); - let variable_cols_ptr = variable_cols[0].storage.as_ref().as_ptr() as *const F; + let variable_cols_ptr = variable_cols[0].storage.as_ref().as_ptr(); let variable_cols_slice = unsafe { slice::from_raw_parts(variable_cols_ptr, num_polys * domain_size) }; let variable_cols_device_slice = unsafe { DeviceSlice::from_slice(variable_cols_slice) }; let variable_cols_matrix = DeviceMatrix::new(variable_cols_device_slice, domain_size); assert_eq!(sigma_cols.len(), num_polys); - let sigma_cols_ptr = sigma_cols[0].storage.as_ref().as_ptr() as *const F; + let sigma_cols_ptr = sigma_cols[0].storage.as_ref().as_ptr(); let sigma_cols_slice = unsafe { slice::from_raw_parts(sigma_cols_ptr, num_polys * domain_size) }; let sigma_cols_device_slice = unsafe { DeviceSlice::from_slice(sigma_cols_slice) }; let sigma_cols_matrix = DeviceMatrix::new(sigma_cols_device_slice, domain_size); assert_eq!(omega_values.storage.len(), domain_size); - let omega_values_ptr = omega_values.storage.as_ref().as_ptr() as *const F; + let omega_values_ptr = omega_values.storage.as_ref().as_ptr(); let omega_values_slice = unsafe { slice::from_raw_parts(omega_values_ptr, domain_size) }; - let omega_values_vector = unsafe { DeviceSlice::from_slice(&omega_values_slice) }; + let omega_values_vector = unsafe { DeviceSlice::from_slice(omega_values_slice) }; assert_eq!(powers_of_alpha.len(), num_partial_products + 1); - let powers_of_alpha_vector = unsafe { DeviceSlice::from_slice(&powers_of_alpha) }; + let powers_of_alpha_vector = unsafe { DeviceSlice::from_slice(powers_of_alpha) }; assert_eq!(non_residues_by_beta.len(), num_polys); - let non_residues_by_beta_vector = unsafe { DeviceSlice::from_slice(&non_residues_by_beta) }; + let non_residues_by_beta_vector = unsafe { DeviceSlice::from_slice(non_residues_by_beta) }; let beta_c0 = unsafe { DeviceVariable::from_ref(&beta.c0.inner[0]) }; let beta_c1 = unsafe { DeviceVariable::from_ref(&beta.c1.inner[0]) }; @@ -755,9 +680,9 @@ pub fn partial_products_quotient_terms<'a, 'b>( ); } let quotient_ptr = quotient_c0_ptr as *mut VEF; - let mut quotient_slice: &mut [VEF] = + let quotient_slice: &mut [VEF] = unsafe { slice::from_raw_parts_mut(quotient_ptr, domain_size) }; - let quotient_vector = unsafe { DeviceSlice::from_mut_slice(&mut quotient_slice) }; + let quotient_vector = unsafe { DeviceSlice::from_mut_slice(quotient_slice) }; if_not_dry_run! { boojum_cuda::ops_complex::partial_products_quotient_terms( @@ -780,6 +705,7 @@ pub fn partial_products_quotient_terms<'a, 'b>( } // TODO: Rework to accept slices +#[allow(clippy::upper_case_acronyms)] pub fn lookup_aggregated_table_values<'a>( table_cols: &[Poly<'a, LagrangeBasis>], beta: &DExt, @@ -794,7 +720,7 @@ pub fn lookup_aggregated_table_values<'a>( let num_polys = num_cols_per_subarg + 1; assert_eq!(table_cols.len(), num_polys); - let table_cols_ptr = table_cols[0].storage.as_ref().as_ptr() as *const F; + let table_cols_ptr = table_cols[0].storage.as_ref().as_ptr(); let table_cols_slice = unsafe { slice::from_raw_parts(table_cols_ptr, num_polys * domain_size) }; let table_cols_device_slice = unsafe { DeviceSlice::from_slice(table_cols_slice) }; @@ -804,7 +730,7 @@ pub fn lookup_aggregated_table_values<'a>( let beta_c1 = unsafe { DeviceVariable::from_ref(&beta.c1.inner[0]) }; assert_eq!(powers_of_gamma.len(), num_polys); - let powers_of_gamma_vector = unsafe { DeviceSlice::from_slice(&powers_of_gamma) }; + let powers_of_gamma_vector = unsafe { DeviceSlice::from_slice(powers_of_gamma) }; assert_eq!(aggregated_table_values.c0.storage.len(), domain_size); let aggregated_table_values_c0_ptr = aggregated_table_values.c0.storage.as_ref().as_ptr(); @@ -815,10 +741,10 @@ pub fn lookup_aggregated_table_values<'a>( ); } let aggregated_table_values_ptr = aggregated_table_values_c0_ptr as *mut VEF; - let mut aggregated_table_values_slice: &mut [VEF] = + let aggregated_table_values_slice: &mut [VEF] = unsafe { slice::from_raw_parts_mut(aggregated_table_values_ptr, domain_size) }; let aggregated_table_values_vector = - unsafe { DeviceSlice::from_mut_slice(&mut aggregated_table_values_slice) }; + unsafe { DeviceSlice::from_mut_slice(aggregated_table_values_slice) }; if_not_dry_run! { boojum_cuda::ops_complex::lookup_aggregated_table_values( @@ -834,6 +760,8 @@ pub fn lookup_aggregated_table_values<'a>( } // TODO: Rework to accept slices +#[allow(clippy::upper_case_acronyms)] +#[allow(clippy::too_many_arguments)] pub fn lookup_subargs<'a>( variable_cols: &[Poly<'a, LagrangeBasis>], subargs_a: &mut [ComplexPoly<'a, LagrangeBasis>], @@ -857,7 +785,7 @@ pub fn lookup_subargs<'a>( assert_eq!(num_subargs_b, 1); assert_eq!(variable_cols.len(), num_polys); - let variable_cols_ptr = variable_cols[0].storage.as_ref().as_ptr() as *const F; + let variable_cols_ptr = variable_cols[0].storage.as_ref().as_ptr(); let variable_cols_slice = unsafe { slice::from_raw_parts(variable_cols_ptr, num_polys * domain_size) }; let variable_cols_device_slice = unsafe { DeviceSlice::from_slice(variable_cols_slice) }; @@ -881,12 +809,12 @@ pub fn lookup_subargs<'a>( let beta_c1 = unsafe { DeviceVariable::from_ref(&beta.c1.inner[0]) }; assert_eq!(powers_of_gamma.len(), num_cols_per_subarg + 1); - let powers_of_gamma_vector = unsafe { DeviceSlice::from_slice(&powers_of_gamma) }; + let powers_of_gamma_vector = unsafe { DeviceSlice::from_slice(powers_of_gamma) }; assert_eq!(table_id_col.storage.len(), domain_size); - let table_id_col_ptr = table_id_col.storage.as_ref().as_ptr() as *const F; + let table_id_col_ptr = table_id_col.storage.as_ref().as_ptr(); let table_id_col_slice = unsafe { slice::from_raw_parts(table_id_col_ptr, domain_size) }; - let table_id_col_vector = unsafe { DeviceSlice::from_slice(&table_id_col_slice) }; + let table_id_col_vector = unsafe { DeviceSlice::from_slice(table_id_col_slice) }; assert_eq!(aggregated_table_values_inv.c0.storage.len(), domain_size); let aggregated_table_values_inv_c0_ptr = @@ -901,10 +829,10 @@ pub fn lookup_subargs<'a>( let aggregated_table_values_inv_slice: &[VEF] = unsafe { slice::from_raw_parts(aggregated_table_values_inv_ptr, domain_size) }; let aggregated_table_values_inv_vector = - unsafe { DeviceSlice::from_slice(&aggregated_table_values_inv_slice) }; + unsafe { DeviceSlice::from_slice(aggregated_table_values_inv_slice) }; assert_eq!(multiplicity_cols.len(), num_subargs_b); - let multiplicity_cols_ptr = multiplicity_cols[0].storage.as_ref().as_ptr() as *const F; + let multiplicity_cols_ptr = multiplicity_cols[0].storage.as_ref().as_ptr(); let multiplicity_cols_slice = unsafe { slice::from_raw_parts(multiplicity_cols_ptr, num_subargs_b * domain_size) }; let multiplicity_cols_device_slice = @@ -929,7 +857,9 @@ pub fn lookup_subargs<'a>( } // TODO: Rework to accept slices -pub fn lookup_quotient_ensure_a_and_b_are_well_formed<'a, 'b>( +#[allow(clippy::upper_case_acronyms)] +#[allow(clippy::too_many_arguments)] +pub fn lookup_quotient_ensure_a_and_b_are_well_formed<'a>( variable_cols: &[Poly<'a, CosetEvaluations>], table_cols: &[Poly<'a, CosetEvaluations>], subargs_a: &[ComplexPoly<'a, CosetEvaluations>], @@ -939,7 +869,7 @@ pub fn lookup_quotient_ensure_a_and_b_are_well_formed<'a, 'b>( powers_of_alpha: &[EF], table_id_col: &Poly<'a, CosetEvaluations>, multiplicity_cols: &[Poly<'a, CosetEvaluations>], - quotient: &mut ComplexPoly<'b, CosetEvaluations>, + quotient: &mut ComplexPoly, num_cols_per_subarg: usize, num_polys: usize, domain_size: usize, @@ -955,14 +885,14 @@ pub fn lookup_quotient_ensure_a_and_b_are_well_formed<'a, 'b>( let num_cols_per_subarg_b = num_cols_per_subarg + 1; assert_eq!(variable_cols.len(), num_polys); - let variable_cols_ptr = variable_cols[0].storage.as_ref().as_ptr() as *const F; + let variable_cols_ptr = variable_cols[0].storage.as_ref().as_ptr(); let variable_cols_slice = unsafe { slice::from_raw_parts(variable_cols_ptr, num_polys * domain_size) }; let variable_cols_device_slice = unsafe { DeviceSlice::from_slice(variable_cols_slice) }; let variable_cols_matrix = DeviceMatrix::new(variable_cols_device_slice, domain_size); assert_eq!(table_cols.len(), num_cols_per_subarg_b); - let table_cols_ptr = table_cols[0].storage.as_ref().as_ptr() as *const F; + let table_cols_ptr = table_cols[0].storage.as_ref().as_ptr(); let table_cols_slice = unsafe { slice::from_raw_parts(table_cols_ptr, num_cols_per_subarg_b * domain_size) }; let table_cols_device_slice = unsafe { DeviceSlice::from_slice(table_cols_slice) }; @@ -986,18 +916,18 @@ pub fn lookup_quotient_ensure_a_and_b_are_well_formed<'a, 'b>( let beta_c1 = unsafe { DeviceVariable::from_ref(&beta.c1.inner[0]) }; assert_eq!(powers_of_gamma.len(), num_cols_per_subarg + 1); - let powers_of_gamma_vector = unsafe { DeviceSlice::from_slice(&powers_of_gamma) }; + let powers_of_gamma_vector = unsafe { DeviceSlice::from_slice(powers_of_gamma) }; assert_eq!(powers_of_alpha.len(), num_subargs_a + num_subargs_b); - let powers_of_alpha_vector = unsafe { DeviceSlice::from_slice(&powers_of_alpha) }; + let powers_of_alpha_vector = unsafe { DeviceSlice::from_slice(powers_of_alpha) }; assert_eq!(table_id_col.storage.len(), domain_size); - let table_id_col_ptr = table_id_col.storage.as_ref().as_ptr() as *const F; + let table_id_col_ptr = table_id_col.storage.as_ref().as_ptr(); let table_id_col_slice = unsafe { slice::from_raw_parts(table_id_col_ptr, domain_size) }; - let table_id_col_vector = unsafe { DeviceSlice::from_slice(&table_id_col_slice) }; + let table_id_col_vector = unsafe { DeviceSlice::from_slice(table_id_col_slice) }; assert_eq!(multiplicity_cols.len(), num_subargs_b); - let multiplicity_cols_ptr = multiplicity_cols[0].storage.as_ref().as_ptr() as *const F; + let multiplicity_cols_ptr = multiplicity_cols[0].storage.as_ref().as_ptr(); let multiplicity_cols_slice = unsafe { slice::from_raw_parts(multiplicity_cols_ptr, num_subargs_b * domain_size) }; let multiplicity_cols_device_slice = @@ -1013,9 +943,9 @@ pub fn lookup_quotient_ensure_a_and_b_are_well_formed<'a, 'b>( ); } let quotient_ptr = quotient_c0_ptr as *mut VEF; - let mut quotient_slice: &mut [VEF] = + let quotient_slice: &mut [VEF] = unsafe { slice::from_raw_parts_mut(quotient_ptr, domain_size) }; - let quotient_vector = unsafe { DeviceSlice::from_mut_slice(&mut quotient_slice) }; + let quotient_vector = unsafe { DeviceSlice::from_mut_slice(quotient_slice) }; if_not_dry_run! { boojum_cuda::ops_complex::lookup_quotient_a_and_b( @@ -1036,7 +966,9 @@ pub fn lookup_quotient_ensure_a_and_b_are_well_formed<'a, 'b>( } } -pub fn deep_quotient_except_public_inputs<'a, 'b>( +#[allow(clippy::upper_case_acronyms)] +#[allow(clippy::too_many_arguments)] +pub fn deep_quotient_except_public_inputs<'a>( variable_cols: &[Poly<'a, CosetEvaluations>], maybe_witness_cols: &Option<&Vec>>, constant_cols: &[Poly<'a, CosetEvaluations>], @@ -1055,14 +987,14 @@ pub fn deep_quotient_except_public_inputs<'a, 'b>( denom_at_z: &ComplexPoly<'a, CosetEvaluations>, denom_at_z_omega: &ComplexPoly<'a, CosetEvaluations>, maybe_denom_at_zero: &Option>, - quotient: &mut ComplexPoly<'b, CosetEvaluations>, + quotient: &mut ComplexPoly, ) -> CudaResult<()> { use std::slice; type VEF = VectorizedExtensionField; // Handling empty partial products would require special-case logic. - // For now we don't need it. Assert as a reminder. - assert!(partial_products.len() > 0); + // For now, we don't need it. Assert as a reminder. + assert!(!partial_products.is_empty()); let domain_size = z_poly.c0.storage.len(); @@ -1091,10 +1023,10 @@ pub fn deep_quotient_except_public_inputs<'a, 'b>( if let Some(multiplicity_cols) = maybe_multiplicity_cols { ( multiplicity_cols.len(), - multiplicity_cols[0].storage.as_ref().as_ptr() as *const F, + multiplicity_cols[0].storage.as_ref().as_ptr(), ) } else { - (0 as usize, std::ptr::null::()) + (0, std::ptr::null::()) }; let (lookup_a_polys_len, lookup_a_polys_ptr) = if let Some(lookup_a_polys) = maybe_lookup_a_polys { @@ -1103,7 +1035,7 @@ pub fn deep_quotient_except_public_inputs<'a, 'b>( lookup_a_polys[0].c0.storage.as_ref().as_ptr() as *const VEF, ) } else { - (0 as usize, std::ptr::null::()) + (0, std::ptr::null::()) }; let (lookup_b_polys_len, lookup_b_polys_ptr) = if let Some(lookup_b_polys) = maybe_lookup_b_polys { @@ -1112,23 +1044,20 @@ pub fn deep_quotient_except_public_inputs<'a, 'b>( lookup_b_polys[0].c0.storage.as_ref().as_ptr() as *const VEF, ) } else { - (0 as usize, std::ptr::null::()) + (0, std::ptr::null::()) }; let (table_cols_len, table_cols_ptr) = if let Some(table_cols) = maybe_table_cols { - ( - table_cols.len(), - table_cols[0].storage.as_ref().as_ptr() as *const F, - ) + (table_cols.len(), table_cols[0].storage.as_ref().as_ptr()) } else { - (0 as usize, std::ptr::null::()) + (0, std::ptr::null::()) }; let (witness_cols_len, witness_cols_ptr) = if let Some(witness_cols) = maybe_witness_cols { ( witness_cols.len(), - witness_cols[0].storage.as_ref().as_ptr() as *const F, + witness_cols[0].storage.as_ref().as_ptr(), ) } else { - (0 as usize, std::ptr::null::()) + (0, std::ptr::null::()) }; let (evaluations_at_zero_len, evaluations_at_zero_ptr) = if evaluations_at_zero.is_some() { let evaluations_at_zero_ref = evaluations_at_zero.as_ref().expect("must exist"); @@ -1137,7 +1066,7 @@ pub fn deep_quotient_except_public_inputs<'a, 'b>( evaluations_at_zero_ref.as_ptr(), ) } else { - (0 as usize, std::ptr::null::()) + (0, std::ptr::null::()) }; let (denom_at_zero_len, denom_at_zero_ptr) = if maybe_denom_at_zero.is_some() { let denom_at_zero_ref = maybe_denom_at_zero.as_ref().expect("must exist"); @@ -1145,7 +1074,7 @@ pub fn deep_quotient_except_public_inputs<'a, 'b>( assert_eq!(len, domain_size); (len, denom_at_zero_ref.storage.as_ref().as_ptr()) } else { - (0 as usize, std::ptr::null::()) + (0, std::ptr::null::()) }; let mut num_terms_at_z = 0; @@ -1173,50 +1102,59 @@ pub fn deep_quotient_except_public_inputs<'a, 'b>( num_terms_from_evals += evaluations_at_zero_len; assert_eq!(challenges.len(), num_terms_from_evals); - let variable_cols_ptr = variable_cols[0].storage.as_ref().as_ptr() as *const F; - let variable_cols_slice = - unsafe { slice::from_raw_parts(variable_cols_ptr, variable_cols.len() * domain_size) }; - let variable_cols_device_slice = unsafe { DeviceSlice::from_slice(variable_cols_slice) }; + let variable_cols_ptr = variable_cols[0].storage.as_ref().as_ptr(); + let variable_cols_device_slice = unsafe { + DeviceSlice::from_raw_parts(variable_cols_ptr, variable_cols.len() * domain_size) + }; let variable_cols_matrix = DeviceMatrix::new(variable_cols_device_slice, domain_size); - let witness_cols_slice = - unsafe { slice::from_raw_parts(witness_cols_ptr, witness_cols_len * domain_size) }; - let witness_cols_device_slice = unsafe { DeviceSlice::from_slice(witness_cols_slice) }; + let witness_cols_device_slice = if witness_cols_len == 0 { + DeviceSlice::empty() + } else { + unsafe { DeviceSlice::from_raw_parts(witness_cols_ptr, witness_cols_len * domain_size) } + }; let witness_cols_matrix = DeviceMatrix::new(witness_cols_device_slice, domain_size); - let constant_cols_ptr = constant_cols[0].storage.as_ref().as_ptr() as *const F; - let constant_cols_slice = - unsafe { slice::from_raw_parts(constant_cols_ptr, constant_cols.len() * domain_size) }; - let constant_cols_device_slice = unsafe { DeviceSlice::from_slice(constant_cols_slice) }; + let constant_cols_ptr = constant_cols[0].storage.as_ref().as_ptr(); + let constant_cols_device_slice = unsafe { + DeviceSlice::from_raw_parts(constant_cols_ptr, constant_cols.len() * domain_size) + }; let constant_cols_matrix = DeviceMatrix::new(constant_cols_device_slice, domain_size); - let permutation_cols_ptr = permutation_cols[0].storage.as_ref().as_ptr() as *const F; - let permutation_cols_slice = unsafe { - slice::from_raw_parts(permutation_cols_ptr, permutation_cols.len() * domain_size) + let permutation_cols_ptr = permutation_cols[0].storage.as_ref().as_ptr(); + let permutation_cols_device_slice = unsafe { + DeviceSlice::from_raw_parts(permutation_cols_ptr, permutation_cols.len() * domain_size) }; - let permutation_cols_device_slice = unsafe { DeviceSlice::from_slice(permutation_cols_slice) }; let permutation_cols_matrix = DeviceMatrix::new(permutation_cols_device_slice, domain_size); - let multiplicity_cols_slice = unsafe { - slice::from_raw_parts(multiplicity_cols_ptr, multiplicity_cols_len * domain_size) + let multiplicity_cols_device_slice = if multiplicity_cols_len == 0 { + DeviceSlice::empty() + } else { + unsafe { + DeviceSlice::from_raw_parts(multiplicity_cols_ptr, multiplicity_cols_len * domain_size) + } }; - let multiplicity_cols_device_slice = - unsafe { DeviceSlice::from_slice(multiplicity_cols_slice) }; let multiplicity_cols_matrix = DeviceMatrix::new(multiplicity_cols_device_slice, domain_size); - let lookup_a_polys_slice = - unsafe { slice::from_raw_parts(lookup_a_polys_ptr, lookup_a_polys_len * domain_size) }; - let lookup_a_polys_device_slice = unsafe { DeviceSlice::from_slice(lookup_a_polys_slice) }; + let lookup_a_polys_device_slice = if lookup_a_polys_len == 0 { + DeviceSlice::empty() + } else { + unsafe { DeviceSlice::from_raw_parts(lookup_a_polys_ptr, lookup_a_polys_len * domain_size) } + }; let lookup_a_polys_matrix = DeviceMatrix::new(lookup_a_polys_device_slice, domain_size); - let lookup_b_polys_slice = - unsafe { slice::from_raw_parts(lookup_b_polys_ptr, lookup_b_polys_len * domain_size) }; - let lookup_b_polys_device_slice = unsafe { DeviceSlice::from_slice(lookup_b_polys_slice) }; + let lookup_b_polys_device_slice = if lookup_b_polys_len == 0 { + DeviceSlice::empty() + } else { + unsafe { DeviceSlice::from_raw_parts(lookup_b_polys_ptr, lookup_b_polys_len * domain_size) } + }; let lookup_b_polys_matrix = DeviceMatrix::new(lookup_b_polys_device_slice, domain_size); - let table_cols_slice = - unsafe { slice::from_raw_parts(table_cols_ptr, table_cols_len * domain_size) }; - let table_cols_device_slice = unsafe { DeviceSlice::from_slice(table_cols_slice) }; + let table_cols_device_slice = if table_cols_len == 0 { + DeviceSlice::empty() + } else { + unsafe { DeviceSlice::from_raw_parts(table_cols_ptr, table_cols_len * domain_size) } + }; let table_cols_matrix = DeviceMatrix::new(table_cols_device_slice, domain_size); let z_poly_c0_ptr = z_poly.c0.storage.as_ref().as_ptr(); @@ -1227,35 +1165,33 @@ pub fn deep_quotient_except_public_inputs<'a, 'b>( ); } let z_poly_ptr = z_poly_c0_ptr as *const VEF; - let z_poly_slice: &[VEF] = unsafe { slice::from_raw_parts(z_poly_ptr, domain_size) }; - let z_poly_vector = unsafe { DeviceSlice::from_slice(&z_poly_slice) }; + let z_poly_vector = unsafe { DeviceSlice::from_raw_parts(z_poly_ptr, domain_size) }; let partial_products_ptr = partial_products[0].c0.storage.as_ref().as_ptr() as *const VEF; - let partial_products_slice = unsafe { - slice::from_raw_parts(partial_products_ptr, partial_products.len() * domain_size) + let partial_products_device_slice = unsafe { + DeviceSlice::from_raw_parts(partial_products_ptr, partial_products.len() * domain_size) }; - let partial_products_device_slice = unsafe { DeviceSlice::from_slice(partial_products_slice) }; let partial_products_matrix = DeviceMatrix::new(partial_products_device_slice, domain_size); let quotient_constraint_polys_ptr = quotient_constraint_polys[0].c0.storage.as_ref().as_ptr() as *const VEF; - let quotient_constraint_polys_slice = unsafe { - slice::from_raw_parts( + let quotient_constraint_polys_device_slice = unsafe { + DeviceSlice::from_raw_parts( quotient_constraint_polys_ptr, quotient_constraint_polys.len() * domain_size, ) }; - let quotient_constraint_polys_device_slice = - unsafe { DeviceSlice::from_slice(quotient_constraint_polys_slice) }; let quotient_constraint_polys_matrix = DeviceMatrix::new(quotient_constraint_polys_device_slice, domain_size); - let evaluations_at_z_vector = unsafe { DeviceSlice::from_slice(&evaluations_at_z) }; - let evaluations_at_z_omega_vector = unsafe { DeviceSlice::from_slice(&evaluations_at_z_omega) }; - let evaluations_at_zero_slice = - unsafe { slice::from_raw_parts(evaluations_at_zero_ptr, evaluations_at_zero_len) }; - let evaluations_at_zero_vector = unsafe { DeviceSlice::from_slice(evaluations_at_zero_slice) }; - let challenges_vector = unsafe { DeviceSlice::from_slice(&challenges) }; + let evaluations_at_z_vector = unsafe { DeviceSlice::from_slice(evaluations_at_z) }; + let evaluations_at_z_omega_vector = unsafe { DeviceSlice::from_slice(evaluations_at_z_omega) }; + let evaluations_at_zero_vector = if evaluations_at_zero_len == 0 { + DeviceSlice::empty() + } else { + unsafe { DeviceSlice::from_raw_parts(evaluations_at_zero_ptr, evaluations_at_zero_len) } + }; + let challenges_vector = unsafe { DeviceSlice::from_slice(challenges) }; let denom_at_z_c0_ptr = denom_at_z.c0.storage.as_ref().as_ptr(); unsafe { @@ -1266,7 +1202,7 @@ pub fn deep_quotient_except_public_inputs<'a, 'b>( } let denom_at_z_ptr = denom_at_z_c0_ptr as *const VEF; let denom_at_z_slice: &[VEF] = unsafe { slice::from_raw_parts(denom_at_z_ptr, domain_size) }; - let denom_at_z_vector = unsafe { DeviceSlice::from_slice(&denom_at_z_slice) }; + let denom_at_z_vector = unsafe { DeviceSlice::from_slice(denom_at_z_slice) }; let denom_at_z_omega_c0_ptr = denom_at_z_omega.c0.storage.as_ref().as_ptr(); unsafe { @@ -1278,11 +1214,13 @@ pub fn deep_quotient_except_public_inputs<'a, 'b>( let denom_at_z_omega_ptr = denom_at_z_omega_c0_ptr as *const VEF; let denom_at_z_omega_slice: &[VEF] = unsafe { slice::from_raw_parts(denom_at_z_omega_ptr, domain_size) }; - let denom_at_z_omega_vector = unsafe { DeviceSlice::from_slice(&denom_at_z_omega_slice) }; + let denom_at_z_omega_vector = unsafe { DeviceSlice::from_slice(denom_at_z_omega_slice) }; - let denom_at_zero_slice = - unsafe { slice::from_raw_parts(denom_at_zero_ptr, denom_at_zero_len) }; - let denom_at_zero_vector = unsafe { DeviceSlice::from_slice(&denom_at_zero_slice) }; + let denom_at_zero_vector = if denom_at_zero_len == 0 { + DeviceSlice::empty() + } else { + unsafe { DeviceSlice::from_raw_parts(denom_at_zero_ptr, denom_at_zero_len) } + }; let quotient_c0_ptr = quotient.c0.storage.as_ref().as_ptr(); unsafe { @@ -1292,9 +1230,7 @@ pub fn deep_quotient_except_public_inputs<'a, 'b>( ); } let quotient_ptr = quotient_c0_ptr as *mut VEF; - let mut quotient_slice: &mut [VEF] = - unsafe { slice::from_raw_parts_mut(quotient_ptr, domain_size) }; - let quotient_vector = unsafe { DeviceSlice::from_mut_slice(&mut quotient_slice) }; + let quotient_vector = unsafe { DeviceSlice::from_raw_parts_mut(quotient_ptr, domain_size) }; if_not_dry_run! { boojum_cuda::ops_complex::deep_quotient_except_public_inputs( @@ -1322,11 +1258,12 @@ pub fn deep_quotient_except_public_inputs<'a, 'b>( } } -pub fn deep_quotient_public_input<'a, 'b>( - values: &Poly<'a, CosetEvaluations>, +#[allow(clippy::upper_case_acronyms)] +pub fn deep_quotient_public_input( + values: &Poly, expected_value: F, challenge: &[EF], - quotient: &mut ComplexPoly<'b, CosetEvaluations>, + quotient: &mut ComplexPoly, ) -> CudaResult<()> { use std::slice; type VEF = VectorizedExtensionField; @@ -1335,11 +1272,11 @@ pub fn deep_quotient_public_input<'a, 'b>( let domain_size = values.storage.len(); - let values_ptr = values.storage.as_ref().as_ptr() as *const F; + let values_ptr = values.storage.as_ref().as_ptr(); let values_slice = unsafe { slice::from_raw_parts(values_ptr, domain_size) }; - let values_vector = unsafe { DeviceSlice::from_slice(&values_slice) }; + let values_vector = unsafe { DeviceSlice::from_slice(values_slice) }; - let challenge_vector = unsafe { DeviceSlice::from_slice(&challenge) }; + let challenge_vector = unsafe { DeviceSlice::from_slice(challenge) }; assert_eq!(quotient.c0.storage.len(), domain_size); let quotient_c0_ptr = quotient.c0.storage.as_ref().as_ptr(); @@ -1350,9 +1287,9 @@ pub fn deep_quotient_public_input<'a, 'b>( ); } let quotient_ptr = quotient_c0_ptr as *mut VEF; - let mut quotient_slice: &mut [VEF] = + let quotient_slice: &mut [VEF] = unsafe { slice::from_raw_parts_mut(quotient_ptr, domain_size) }; - let quotient_vector = unsafe { DeviceSlice::from_mut_slice(&mut quotient_slice) }; + let quotient_vector = unsafe { DeviceSlice::from_mut_slice(quotient_slice) }; if_not_dry_run! { boojum_cuda::ops_complex::deep_quotient_public_input( diff --git a/crates/shivini/src/primitives/cs_helpers.rs b/crates/shivini/src/primitives/cs_helpers.rs index 505fee9..769b21e 100644 --- a/crates/shivini/src/primitives/cs_helpers.rs +++ b/crates/shivini/src/primitives/cs_helpers.rs @@ -6,7 +6,6 @@ use boojum_cuda::{ extension_field::VectorizedExtensionField, }; use era_cudart::stream::CudaStreamWaitEventFlags; -use std::mem::size_of; #[allow(dead_code)] pub fn assign_gate_selectors( @@ -18,6 +17,8 @@ pub fn assign_gate_selectors( todo!() } +#[allow(clippy::too_many_arguments)] +#[allow(clippy::assertions_on_constants)] pub fn constraint_evaluation( gates: &[GateEvaluationParams], variable_columns: &[F], @@ -38,11 +39,11 @@ pub fn constraint_evaluation( let challenge = unsafe { DeviceSlice::from_slice(&d_challenge[..]) }; let challenge = unsafe { challenge.transmute::() }; - let variables_slice = unsafe { DeviceSlice::from_slice(variable_columns.as_ref()) }; - let witnesses_slice = unsafe { DeviceSlice::from_slice(witness_columns.as_ref()) }; - let constants_slice = unsafe { DeviceSlice::from_slice(constant_columns.as_ref()) }; + let variables_slice = unsafe { DeviceSlice::from_slice(variable_columns) }; + let witnesses_slice = unsafe { DeviceSlice::from_slice(witness_columns) }; + let constants_slice = unsafe { DeviceSlice::from_slice(constant_columns) }; let quotient_slice = unsafe { - DeviceSlice::from_mut_slice(quotient.as_mut()).transmute_mut::() + DeviceSlice::from_mut_slice(quotient).transmute_mut::() }; const STREAMS_COUNT: usize = 4; assert!(STREAMS_COUNT <= NUM_AUX_STREAMS_AND_EVENTS); @@ -65,7 +66,7 @@ pub fn constraint_evaluation( let mut quotient_matrix = DeviceMatrixMut::new(quotient_slice, domain_size); if_not_dry_run! { boojum_cuda::gates::evaluate_gates( - &gates, + gates, &variable_columns_matrix, &witness_columns_matrix, &constant_columns_matrix, @@ -101,7 +102,7 @@ pub fn constraint_evaluation( DeviceMatrixChunkMut::new(quotient_slice, domain_size, offset, rows); let stream = &streams[i % STREAMS_COUNT]; boojum_cuda::gates::evaluate_gates( - &gates, + gates, &variable_columns_matrix, &witness_columns_matrix, &constant_columns_matrix, diff --git a/crates/shivini/src/primitives/helpers.rs b/crates/shivini/src/primitives/helpers.rs index aea2d81..5d636f5 100644 --- a/crates/shivini/src/primitives/helpers.rs +++ b/crates/shivini/src/primitives/helpers.rs @@ -56,7 +56,7 @@ pub fn calculate_tmp_buffer_size_for_grand_product(buffer_size: usize) -> CudaRe } num_blocks * block_size_in_bytes }; - let tmp_size_in_field_elements = tmp_size / std::mem::size_of::(); + let tmp_size_in_field_elements = tmp_size / size_of::(); Ok(tmp_size_in_field_elements) } @@ -81,7 +81,7 @@ pub fn calculate_tmp_buffer_size_for_grand_sum(domain_size: usize) -> CudaResult } num_blocks * block_size_in_bytes }; - let tmp_size_in_field_elements = tmp_size / std::mem::size_of::(); + let tmp_size_in_field_elements = tmp_size / size_of::(); Ok(tmp_size_in_field_elements) } @@ -99,7 +99,7 @@ pub fn set_value(buffer: &mut [F], value: &DF) -> CudaResult<()> { // value is a device value #[allow(dead_code)] pub fn set_value_generic(buffer: &mut [T], value: &T) -> CudaResult<()> { - assert_eq!(buffer.is_empty(), false); + assert!(!buffer.is_empty()); let (buffer, value) = unsafe { let h_var = DeviceVariable::from_ref(value); (DeviceSlice::from_mut_slice(buffer), h_var) @@ -114,7 +114,7 @@ pub fn set_by_value( value: T, stream: &CudaStream, ) -> CudaResult<()> { - assert_eq!(buffer.is_empty(), false); + assert!(!buffer.is_empty()); let buffer = unsafe { DeviceSlice::from_mut_slice(buffer) }; if_not_dry_run! { set_by_val(value, buffer, stream) diff --git a/crates/shivini/src/primitives/mem.rs b/crates/shivini/src/primitives/mem.rs index cc2f762..cf83edc 100644 --- a/crates/shivini/src/primitives/mem.rs +++ b/crates/shivini/src/primitives/mem.rs @@ -4,7 +4,6 @@ use era_cudart::execution::{launch_host_fn, HostFn}; pub use era_cudart::memory::memory_copy_async; use era_cudart::stream::CudaStreamWaitEventFlags; use std::intrinsics::copy_nonoverlapping; -use std::mem::size_of; use std::ops::DerefMut; use std::slice; @@ -16,6 +15,7 @@ pub fn h2d(host: &[T], device: &mut [T]) -> CudaResult<()> { } } +#[allow(clippy::assertions_on_constants)] pub fn h2d_buffered<'a, T: Send + Sync>( host: &'a [T], device: &'a mut [T], @@ -26,7 +26,7 @@ pub fn h2d_buffered<'a, T: Send + Sync>( assert_eq!(host.len(), device.len()); assert_ne!(chunk_size, 0); if is_dry_run()? { - return Ok(vec![]); + Ok(vec![]) } else { const STREAMS_COUNT: usize = 2; assert!(STREAMS_COUNT <= NUM_AUX_STREAMS_AND_EVENTS); @@ -87,7 +87,7 @@ pub fn h2d_on_stream(host: &[T], device: &mut [T], stream: &CudaStream) -> Cu assert!(!host.is_empty()); assert_eq!(host.len(), device.len()); if_not_dry_run! { - memory_copy_async(&mut device[..], host, stream) + memory_copy_async(device, host, stream) } } @@ -95,7 +95,7 @@ pub fn d2h(device: &[T], host: &mut [T]) -> CudaResult<()> { assert!(!host.is_empty()); assert_eq!(host.len(), device.len()); if_not_dry_run! { - memory_copy_async(host, &device[..], get_d2h_stream()) + memory_copy_async(host, device, get_d2h_stream()) } } @@ -103,6 +103,6 @@ pub fn d2d(src: &[T], dst: &mut [T]) -> CudaResult<()> { assert!(!src.is_empty()); assert_eq!(src.len(), dst.len()); if_not_dry_run! { - memory_copy_async(&mut dst[..], &src[..], get_stream()) + memory_copy_async(dst, src, get_stream()) } } diff --git a/crates/shivini/src/primitives/mod.rs b/crates/shivini/src/primitives/mod.rs index 5daf1d0..984cabe 100644 --- a/crates/shivini/src/primitives/mod.rs +++ b/crates/shivini/src/primitives/mod.rs @@ -9,7 +9,10 @@ pub(crate) mod tree; use super::*; pub use ::boojum_cuda::gates::GateEvaluationParams; pub use boojum_cuda::context::Context as CudaContext; +use boojum_cuda::poseidon2::{BNHasher, GLHasher}; pub use era_cudart::result::CudaResult; use era_cudart::slice::CudaSlice; use era_cudart::slice::DeviceSlice; pub use era_cudart::stream::CudaStream; +use serde::{Deserialize, Serialize}; +pub use tree::GpuTreeHasher; diff --git a/crates/shivini/src/primitives/ntt.rs b/crates/shivini/src/primitives/ntt.rs index 1e7f634..d2ea5e9 100644 --- a/crates/shivini/src/primitives/ntt.rs +++ b/crates/shivini/src/primitives/ntt.rs @@ -6,6 +6,7 @@ use era_cudart::stream::CudaStreamWaitEventFlags; // Raw boojum bindings +#[allow(clippy::too_many_arguments)] fn raw_batch_coset_ntt( inputs: &mut [F], bitreversed_input: bool, @@ -40,6 +41,7 @@ fn raw_batch_coset_ntt( } } +#[allow(clippy::too_many_arguments)] fn raw_batch_coset_ntt_into( inputs: &[F], outputs: &mut [F], @@ -111,7 +113,7 @@ pub(crate) fn coset_ntt_into( pub(crate) fn lde_intt(input: &mut [F]) -> CudaResult<()> { // Any power of two > 1 would work for lde_degree, it just signals to the kernel - // that we're inverting an LDE and it should multiply x_i by g_inv^i + // that we're inverting an LDE and that it should multiply x_i by g_inv^i let dummy_lde_degree = 2; let coset_idx = 0; raw_batch_coset_ntt( @@ -147,9 +149,10 @@ fn get_l2_chunk_elems(domain_size: usize) -> usize { let l2_cache_size_with_safety_margin = (l2_cache_size_bytes * 3) / 8; let bytes_per_col = 8 * domain_size; let cols_in_l2 = l2_cache_size_with_safety_margin / bytes_per_col; - return domain_size * cols_in_l2; + domain_size * cols_in_l2 } +#[allow(clippy::too_many_arguments)] fn l2_chunked_with_epilogue( inputs: &mut [F], bitreversed_input: bool, @@ -187,7 +190,7 @@ where let end_event0 = &_aux_events()[1]; let end_event1 = &_aux_events()[2]; if_not_dry_run! { - start_event.record(&main_stream)?; + start_event.record(main_stream)?; stream0.wait_event(start_event, CudaStreamWaitEventFlags::DEFAULT)?; stream1.wait_event(start_event, CudaStreamWaitEventFlags::DEFAULT) }?; @@ -261,6 +264,7 @@ fn l2_chunked( ) } +#[allow(clippy::too_many_arguments)] fn l2_chunked_with_epilogue_into( inputs: &[F], outputs: &mut [F], @@ -299,7 +303,7 @@ where let end_event0 = &_aux_events()[1]; let end_event1 = &_aux_events()[2]; if_not_dry_run! { - start_event.record(&main_stream)?; + start_event.record(main_stream)?; stream0.wait_event(start_event, CudaStreamWaitEventFlags::DEFAULT)?; stream1.wait_event(start_event, CudaStreamWaitEventFlags::DEFAULT) }?; @@ -357,6 +361,7 @@ where Ok(()) } +#[allow(clippy::too_many_arguments)] fn l2_chunked_into( inputs: &[F], outputs: &mut [F], diff --git a/crates/shivini/src/primitives/tree.rs b/crates/shivini/src/primitives/tree.rs index 8f00c8b..9b02473 100644 --- a/crates/shivini/src/primitives/tree.rs +++ b/crates/shivini/src/primitives/tree.rs @@ -1,10 +1,24 @@ use super::*; -type P = boojum_cuda::poseidon::Poseidon2; +pub trait DigestType: 'static + Copy + Clone + PartialEq + Eq + Default + Debug {} -pub fn build_tree( +impl DigestType for T {} + +pub trait GpuTreeHasher: + boojum_cuda::poseidon2::GpuTreeHasher< + DigestElements: DigestType, + DigestElementType: DigestType, + Output: DigestType + Serialize + for<'a> Deserialize<'a>, +> +{ +} + +impl GpuTreeHasher for GLHasher {} +impl GpuTreeHasher for BNHasher {} + +pub fn build_tree( leaf_sources: &[F], - result: &mut [F], + result: &mut [H::DigestElementType], source_len: usize, cap_size: usize, num_elems_per_leaf: usize, @@ -16,12 +30,12 @@ pub fn build_tree( let num_layers = depth - log_cap + 1; let (leaf_sources, result) = unsafe { ( - DeviceSlice::from_slice(&leaf_sources[..]), + DeviceSlice::from_slice(leaf_sources), DeviceSlice::from_mut_slice(result), ) }; if_not_dry_run! { - boojum_cuda::poseidon::build_merkle_tree::

( + H::build_merkle_tree( leaf_sources, result, num_elems_per_leaf.trailing_zeros(), @@ -32,12 +46,9 @@ pub fn build_tree( } #[allow(dead_code)] -pub(crate) const POSEIDON_RATE: usize = 8; - -#[allow(dead_code)] -pub fn build_leaves_from_chunk( +pub fn build_leaves_from_chunk( leaf_sources: &[F], - result: &mut [F], + result: &mut [H::DigestElementType], _domain_size: usize, load_intermediate: bool, store_intermediate: bool, @@ -49,7 +60,7 @@ pub fn build_leaves_from_chunk( ) }; if_not_dry_run! { - boojum_cuda::poseidon::build_merkle_tree_leaves::

( + H::build_merkle_tree_leaves( d_values, d_result, 0, @@ -61,9 +72,9 @@ pub fn build_leaves_from_chunk( } #[allow(dead_code)] -pub fn build_tree_nodes( - leaf_hashes: &[F], - result: &mut [F], +pub fn build_tree_nodes( + leaf_hashes: &[H::DigestElementType], + result: &mut [H::DigestElementType], domain_size: usize, cap_size: usize, ) -> CudaResult<()> { @@ -75,12 +86,12 @@ pub fn build_tree_nodes( let num_layers = depth - log_cap + 1; let (leaf_sources, result) = unsafe { ( - DeviceSlice::from_slice(&leaf_hashes[..]), + DeviceSlice::from_slice(leaf_hashes), DeviceSlice::from_mut_slice(result), ) }; if_not_dry_run! { - boojum_cuda::poseidon::build_merkle_tree_nodes::

( + H::build_merkle_tree_nodes( leaf_sources, result, num_layers, diff --git a/crates/shivini/src/prover.rs b/crates/shivini/src/prover.rs index 3f73479..e1cd892 100644 --- a/crates/shivini/src/prover.rs +++ b/crates/shivini/src/prover.rs @@ -1,12 +1,20 @@ use std::alloc::Global; +use std::hash::Hash; use std::rc::Rc; +use super::*; +use crate::cs::GpuSetup; +use crate::gpu_proof_config::GpuProofConfig; +use crate::{ + arith::{deep_quotient_except_public_inputs, deep_quotient_public_input}, + cs::PACKED_PLACEHOLDER_BITMASK, +}; use boojum::{ cs::{ gates::lookup_marker::LookupFormalGate, implementations::{ copy_permutation::non_residues_for_copy_permutation, - pow::{NoPow, PoWRunner}, + pow::PoWRunner, proof::{OracleQuery, Proof, SingleRoundQueries}, prover::ProofConfig, setup::TreeNode, @@ -15,37 +23,28 @@ use boojum::{ verifier::VerificationKey, witness::WitnessVec, }, - oracle::TreeHasher, traits::{gate::GatePlacementStrategy, GoodAllocator}, LookupParameters, }, field::U64Representable, worker::Worker, }; - -use crate::cs::GpuSetup; -use crate::gpu_proof_config::GpuProofConfig; -use crate::{ - arith::{deep_quotient_except_public_inputs, deep_quotient_public_input}, - cs::PACKED_PLACEHOLDER_BITMASK, -}; - -use super::*; +use era_cudart::slice::CudaSlice; pub fn gpu_prove_from_external_witness_data< - TR: Transcript, - H: TreeHasher, + TR: Transcript, + H: GpuTreeHasher, POW: PoWRunner, A: GoodAllocator, >( config: &GpuProofConfig, external_witness_data: &WitnessVec, // TODO: read data from Assembly pinned storage proof_config: ProofConfig, - setup: &GpuSetup, + setup: &GpuSetup, vk: &VerificationKey, transcript_params: TR::TransciptParameters, worker: &Worker, -) -> CudaResult> { +) -> CudaResult> { let cache_strategy = CacheStrategy::get::( config, external_witness_data, @@ -67,21 +66,22 @@ pub fn gpu_prove_from_external_witness_data< ) } -pub(crate) fn gpu_prove_from_external_witness_data_with_cache_strategy< - TR: Transcript, - H: TreeHasher, +#[allow(clippy::too_many_arguments)] +pub fn gpu_prove_from_external_witness_data_with_cache_strategy< + TR: Transcript, + H: GpuTreeHasher, POW: PoWRunner, A: GoodAllocator, >( config: &GpuProofConfig, external_witness_data: &WitnessVec, // TODO: read data from Assembly pinned storage proof_config: ProofConfig, - setup: &GpuSetup, + setup: &GpuSetup, vk: &VerificationKey, transcript_params: TR::TransciptParameters, worker: &Worker, cache_strategy: CacheStrategy, -) -> CudaResult> { +) -> CudaResult> { let mut timer = std::time::Instant::now(); let result = { assert!( @@ -99,13 +99,15 @@ pub(crate) fn gpu_prove_from_external_witness_data_with_cache_strategy< lookup_parameters.num_multipicities_polys(total_tables_len, domain_size); let fri_lde_degree = proof_config.fri_lde_factor; let quotient_degree = compute_quotient_degree(config, &setup.selectors_placement); - let used_lde_degree = usize::max(quotient_degree, fri_lde_degree); - let cap_size = setup.setup_tree.cap_size; + let max_lde_degree = usize::max(quotient_degree, fri_lde_degree); + let cap_size = setup.tree.last().unwrap().len(); + assert_eq!(proof_config.merkle_tree_cap_size, cap_size); let setup_cache = SetupCache::new_from_gpu_setup( - cache_strategy.setup, + cache_strategy.setup_polynomials, + cache_strategy.commitment, setup, fri_lde_degree, - used_lde_degree, + max_lde_degree, worker, )?; if !is_dry_run()? { @@ -117,13 +119,15 @@ pub(crate) fn gpu_prove_from_external_witness_data_with_cache_strategy< num_witness_cols, num_multiplicity_cols, }; - let mut trace_cache = TraceCache::new( - cache_strategy.trace, + let mut trace_cache = TraceCache::allocate( + cache_strategy.trace_polynomials, + cache_strategy.commitment, trace_layout, domain_size, fri_lde_degree, - used_lde_degree, + max_lde_degree, cap_size, + 1, (), ); let arguments_layout = ArgumentsLayout::from_trace_layout_and_lookup_params( @@ -131,37 +135,53 @@ pub(crate) fn gpu_prove_from_external_witness_data_with_cache_strategy< quotient_degree, lookup_parameters, ); - let mut arguments_cache = ArgumentsCache::new( - cache_strategy.arguments, + let mut arguments_cache = ArgumentsCache::allocate( + cache_strategy.other_polynomials, + cache_strategy.commitment, arguments_layout, domain_size, fri_lde_degree, - used_lde_degree, + max_lde_degree, cap_size, + 1, (), ); - let trace_evaluations_storage = match trace_cache.strategy { - StorageCacheStrategy::CacheMonomials - | StorageCacheStrategy::CacheMonomialsAndFirstCoset - | StorageCacheStrategy::CacheMonomialsAndFriCosets => trace_cache.get_temp_storage(), - _ => trace_cache.get_evaluations_storage(), + let quotient_layout = QuotientLayout::new(quotient_degree); + let mut quotient_cache = QuotientCache::allocate( + cache_strategy.other_polynomials, + cache_strategy.commitment, + quotient_layout, + domain_size, + fri_lde_degree, + max_lde_degree, + cap_size, + 1, + (), + ); + let trace_evaluations_storage = match trace_cache.polynomials_cache.strategy { + PolynomialsCacheStrategy::CacheMonomials + | PolynomialsCacheStrategy::CacheMonomialsAndFirstCoset + | PolynomialsCacheStrategy::CacheMonomialsAndFriCosets => { + trace_cache.polynomials_cache.get_temp_storage() + } + _ => trace_cache.polynomials_cache.borrow_storage(), }; let trace_evaluations = GenericTraceStorage::fill_from_remote_witness_data( &setup_cache.aux.variable_indexes, &setup_cache.aux.witness_indexes, - &external_witness_data, + external_witness_data, &lookup_parameters, worker, trace_evaluations_storage, )?; let trace_evaluations = Rc::new(trace_evaluations); - let trace_evaluations = match trace_cache.strategy { - StorageCacheStrategy::InPlace => { - trace_cache.initialize(trace_evaluations)?; + let trace_evaluations = match trace_cache.polynomials_cache.strategy { + PolynomialsCacheStrategy::InPlace => { + trace_cache.initialize_from_evaluations(trace_evaluations)?; trace_cache.get_evaluations()? } _ => { - trace_cache.initialize(trace_evaluations.clone())?; + trace_cache.initialize_from_evaluations(trace_evaluations.clone())?; trace_evaluations } }; @@ -175,7 +195,7 @@ pub(crate) fn gpu_prove_from_external_witness_data_with_cache_strategy< .iter() .cloned() { - let variable_idx = setup.variables_hint[col][row].clone() as usize; + let variable_idx = setup.variables_hint[col][row] as usize; assert_eq!( variable_idx & (PACKED_PLACEHOLDER_BITMASK as usize), 0, @@ -184,15 +204,17 @@ pub(crate) fn gpu_prove_from_external_witness_data_with_cache_strategy< let value = external_witness_data.all_values[variable_idx]; public_inputs_with_locations.push((col, row, value)); } - gpu_prove_from_trace::( + gpu_prove_from_trace::( config, public_inputs_with_locations, setup, + cache_strategy, setup_cache, setup_evaluations, &mut trace_cache, trace_evaluations, &mut arguments_cache, + &mut quotient_cache, proof_config, vk, transcript_params, @@ -228,34 +250,36 @@ pub fn compute_quotient_degree(config: &GpuProofConfig, selectors_placement: &Tr max_degree_from_specialized_gates, ); - let min_lde_degree_for_gates = if quotient_degree_from_gate_terms.is_power_of_two() { + if quotient_degree_from_gate_terms.is_power_of_two() { quotient_degree_from_gate_terms } else { quotient_degree_from_gate_terms.next_power_of_two() - }; - - min_lde_degree_for_gates + } } +#[allow(clippy::too_many_arguments)] +#[allow(clippy::assertions_on_constants)] fn gpu_prove_from_trace< - TR: Transcript, - H: TreeHasher, + TR: Transcript, + H: GpuTreeHasher, POW: PoWRunner, A: GoodAllocator, >( config: &GpuProofConfig, public_inputs_with_locations: Vec<(usize, usize, F)>, - setup_base: &GpuSetup, - setup_cache: &mut SetupCache, + setup_base: &GpuSetup, + cache_strategy: CacheStrategy, + setup_cache: &mut SetupCache, setup_evaluations: Rc>, - trace_cache: &mut TraceCache, + trace_cache: &mut TraceCache, trace_evaluations: Rc>, - arguments_cache: &mut ArgumentsCache, + arguments_cache: &mut ArgumentsCache, + quotient_cache: &mut QuotientCache, proof_config: ProofConfig, vk: &VerificationKey, transcript_params: TR::TransciptParameters, worker: &Worker, -) -> CudaResult> { +) -> CudaResult> { let geometry = vk.fixed_parameters.clone(); let domain_size = geometry.domain_size as usize; let lookup_parameters = geometry.lookup_parameters; @@ -282,7 +306,7 @@ fn gpu_prove_from_trace< let quotient_degree = compute_quotient_degree(config, &selectors_placement); let fri_lde_degree = proof_config.fri_lde_factor; - let used_lde_degree = std::cmp::max(fri_lde_degree, quotient_degree); + let max_lde_degree = std::cmp::max(fri_lde_degree, quotient_degree); // cap size shouldn't be part of subtree // Immediately transfer raw trace to the device and simultaneously compute monomials of the whole trace @@ -296,19 +320,15 @@ fn gpu_prove_from_trace< 1 << (cap_size.trailing_zeros() - fri_lde_degree.trailing_zeros()) }; - let trace_layout = trace_evaluations.layout.clone(); + let trace_layout = trace_evaluations.layout; let TraceLayout { num_variable_cols, num_witness_cols: _, num_multiplicity_cols: _, - } = trace_layout.clone(); + } = trace_layout; let num_trace_polys = trace_evaluations.num_polys(); assert_eq!(trace_evaluations.domain_size(), domain_size); - let mut tree_holder = TreeCache::empty(fri_lde_degree); - let (trace_subtrees, trace_tree_cap) = trace_cache.get_commitment::(cap_size)?; - assert_eq!(trace_subtrees.len(), proof_config.fri_lde_factor); - assert_eq!(trace_tree_cap.len(), proof_config.merkle_tree_cap_size); - tree_holder.set_trace_subtrees(trace_subtrees); + let trace_tree_cap = trace_cache.get_tree_cap(); // TODO: use cuda callback for transcript transcript.witness_merkle_tree_cap(&trace_tree_cap); @@ -336,7 +356,7 @@ fn gpu_prove_from_trace< let mut h_non_residues_by_beta = vec![]; for non_residue in non_residues.iter() { - let mut non_residue_by_beta = h_beta.clone(); + let mut non_residue_by_beta = h_beta; non_residue_by_beta.mul_assign_by_base(non_residue); h_non_residues_by_beta.push(non_residue_by_beta); } @@ -345,7 +365,12 @@ fn gpu_prove_from_trace< let raw_trace_polynomials = trace_evaluations.as_polynomials(); let raw_setup_polynomials = setup_evaluations.as_polynomials(); - let mut argument_raw_storage = unsafe { arguments_cache.get_evaluations_storage().transmute() }; + let mut argument_raw_storage = unsafe { + arguments_cache + .polynomials_cache + .borrow_storage() + .transmute() + }; compute_partial_products( &raw_trace_polynomials, &raw_setup_polynomials, @@ -397,7 +422,7 @@ fn gpu_prove_from_trace< let mut h_powers_of_gamma = vec![]; let mut current = EF::ONE; for _ in 0..columns_per_subargument { - h_powers_of_gamma.push(current.into()); + h_powers_of_gamma.push(current); // Should this be h_gamma or h_lookup_gamma? current.mul_assign(&h_lookup_gamma); } @@ -418,7 +443,7 @@ fn gpu_prove_from_trace< // )?; todo!(); - powers_of_gamma + // powers_of_gamma } a @ LookupParameters::UseSpecializedColumnsWithTableIdAsVariable { width, .. } | a @ LookupParameters::UseSpecializedColumnsWithTableIdAsConstant { width, .. } => { @@ -446,7 +471,7 @@ fn gpu_prove_from_trace< let mut h_powers_of_gamma = vec![]; let mut current = EF::ONE; for _ in 0..columns_per_subargument { - h_powers_of_gamma.push(current.into()); + h_powers_of_gamma.push(current); current.mul_assign(&h_lookup_gamma); } let mut powers_of_gamma = svec!(h_powers_of_gamma.len()); @@ -473,11 +498,9 @@ fn gpu_prove_from_trace< }; drop(setup_evaluations); drop(trace_evaluations); - arguments_cache.initialize(Rc::new(argument_raw_storage))?; - let (argument_subtrees, argument_tree_cap) = arguments_cache.get_commitment::(cap_size)?; - + arguments_cache.initialize_from_evaluations(Rc::new(argument_raw_storage))?; + let argument_tree_cap = arguments_cache.get_tree_cap(); transcript.witness_merkle_tree_cap(&argument_tree_cap); - tree_holder.set_argument_subtrees(argument_subtrees); let h_alpha = if is_dry_run()? { [F::ZERO; 2] @@ -523,11 +546,11 @@ fn gpu_prove_from_trace< let total_num_terms = total_num_lookup_argument_terms // and lookup is first + total_num_gate_terms_for_specialized_columns // then gates over specialized columns - + total_num_gate_terms_for_general_purpose_columns // all gates terms over general purpose columns + + total_num_gate_terms_for_general_purpose_columns // all gate terms over general purpose columns + 1 // z(1) == 1 copy permutation + 1 // z(x * omega) = ... + num_intermediate_partial_product_relations // chunking copy permutation part - ; + ; let h_powers_of_alpha: Vec<_, Global> = materialize_powers_serial(h_alpha, total_num_terms); let rest = &h_powers_of_alpha[..]; @@ -546,7 +569,7 @@ fn gpu_prove_from_trace< let _pregenerated_challenges_for_gates_over_general_purpose_columns = take.to_vec(); let (take, rest) = rest.split_at(1); let copy_permutation_challenge_z_at_one_equals_one = take.to_vec(); - assert!(rest.len() > 0); + assert!(!rest.is_empty()); let h_vec = rest.to_vec(); let mut copy_permutation_challenges_partial_product_terms = svec!(h_vec.len()); // TODO: When we use host pinned memory for challenges, we need to make sure @@ -579,7 +602,7 @@ fn gpu_prove_from_trace< &general_purpose_gates, coset_idx, domain_size, - used_lde_degree, + max_lde_degree, num_cols_per_product, ©_permutation_challenge_z_at_one_equals_one[0], ©_permutation_challenges_partial_product_terms, @@ -590,7 +613,7 @@ fn gpu_prove_from_trace< &beta, &gamma, &powers_of_gamma_for_lookup, - lookup_beta.as_ref().clone(), + lookup_beta.as_ref(), &non_residues_by_beta, variables_offset, &mut coset_values, @@ -610,18 +633,13 @@ fn gpu_prove_from_trace< let quotient_monomial = quotient.intt()?; // quotient memory is guaranteed to allow batch ntts for cosets of the quotient parts - let quotient_chunks = quotient_monomial.clone().into_degree_n_polys(domain_size)?; - - let quotient_monomial_storage = GenericComplexPolynomialStorage { - polynomials: quotient_chunks, - }; - let num_quotient_polys = quotient_monomial_storage.num_polys(); - let mut quotient_holder = - QuotientCache::from_monomial(quotient_monomial_storage, fri_lde_degree, used_lde_degree)?; - let (quotient_subtrees, quotient_tree_cap) = - quotient_holder.commit::(cap_size)?; + let quotient_monomials_storage = quotient_monomial.into_degree_n_polys( + domain_size, + quotient_cache.polynomials_cache.borrow_storage(), + )?; + quotient_cache.initialize_from_monomials(Rc::new(quotient_monomials_storage))?; + let quotient_tree_cap = quotient_cache.get_tree_cap(); transcript.witness_merkle_tree_cap("ient_tree_cap); - tree_holder.set_quotient_subtrees(quotient_subtrees); // deep part let h_z = if is_dry_run()? { @@ -636,15 +654,16 @@ fn gpu_prove_from_trace< let num_setup_polys = setup_cache.num_polys(); let num_argument_polys = arguments_cache.num_polys() / 2; + let num_quotient_polys = quotient_cache.num_polys() / 2; let (h_evaluations_at_z, h_evaluations_at_z_omega, h_evaluations_at_zero) = { compute_evaluations_over_lagrange_basis( trace_cache, setup_cache, arguments_cache, - &mut quotient_holder, - h_z.clone(), - h_z_omega.clone(), + quotient_cache, + h_z, + h_z_omega, fri_lde_degree, )? }; @@ -666,7 +685,7 @@ fn gpu_prove_from_trace< transcript.witness_field_elements(h_point.as_coeffs_in_base()); } - let evaluations_at_zero = if h_evaluations_at_zero.len() > 0 { + let evaluations_at_zero = if !h_evaluations_at_zero.is_empty() { let mut d_vec = svec!(h_evaluations_at_zero.len()); d_vec.copy_from_slice(&h_evaluations_at_zero)?; Some(d_vec) @@ -717,9 +736,9 @@ fn gpu_prove_from_trace< let mut challenges = svec!(h_challenges.len()); challenges.copy_from_slice(&h_challenges)?; - let mut deep_quotient = ComplexPoly::::empty(fri_lde_degree * domain_size)?; - let z = h_z.clone().into(); - let z_omega = h_z_omega.clone().into(); + let mut deep_quotient = vec![]; + let z = h_z.into(); + let z_omega = h_z_omega.into(); for coset_idx in 0..fri_lde_degree { let trace_values = trace_cache.get_coset_evaluations(coset_idx)?; let trace_polys = trace_values.as_polynomials(); @@ -727,9 +746,10 @@ fn gpu_prove_from_trace< let setup_polys = setup_values.as_polynomials(); let argument_values = arguments_cache.get_coset_evaluations(coset_idx)?; let argument_polys = argument_values.as_polynomials(); - let quotient_polys = quotient_holder.get_or_compute_coset_evals(coset_idx)?; + let quotient_values = quotient_cache.get_coset_evaluations(coset_idx)?; + let quotient_polys = quotient_values.as_polynomials(); - let coset_omegas = compute_omega_values_for_coset(coset_idx, domain_size, used_lde_degree)?; + let coset_omegas = compute_omega_values_for_coset(coset_idx, domain_size, max_lde_degree)?; let deep_quotient_over_coset = compute_deep_quotiening_over_coset( &trace_polys, &setup_polys, @@ -745,18 +765,8 @@ fn gpu_prove_from_trace< &public_input_opening_tuples, &challenges, )?; - let start = coset_idx * domain_size; - let end = start + domain_size; - - mem::d2d( - deep_quotient_over_coset.c0.storage.as_ref(), - &mut deep_quotient.c0.storage.as_mut()[start..end], - )?; - mem::d2d( - deep_quotient_over_coset.c1.storage.as_ref(), - &mut deep_quotient.c1.storage.as_mut()[start..end], - )?; + deep_quotient.push(deep_quotient_over_coset); } let basic_pow_bits = proof_config.pow_bits; @@ -773,24 +783,15 @@ fn gpu_prove_from_trace< domain_size.trailing_zeros(), ); - let first_codeword = { - // use deep quotient storage as adjacent full storage as usual - let (ptr, len, cap, allocator) = deep_quotient - .c0 - .storage - .into_inner() - .into_raw_parts_with_alloc(); - debug_assert_eq!(len, fri_lde_degree * domain_size); - let storage = DVec::from_raw_parts_in(ptr, 2 * len, 2 * cap, allocator); - CodeWord::new_base_assuming_adjacent(storage, fri_lde_degree) - }; + let first_codeword = CodeWord::new_base(deep_quotient); - let (mut fri_holder, final_fri_monomials) = compute_fri::<_, A>( + let (mut fri_holder, final_fri_monomials) = compute_fri::<_, H>( first_codeword, &mut transcript, folding_schedule.clone(), fri_lde_degree, cap_size, + cache_strategy.commitment, worker, )?; assert_eq!(final_fri_monomials[0].len(), final_expected_degree); @@ -838,7 +839,7 @@ fn gpu_prove_from_trace< // get query schedule first, sort then reduce number of coset evals let mut query_details_for_cosets = vec![vec![]; fri_lde_degree]; let mut query_idx_and_coset_idx_map = vec![0usize; num_queries]; - for query_idx in 0..num_queries { + for (query_idx, map) in query_idx_and_coset_idx_map.iter_mut().enumerate() { let query_index_lsb_first_bits = if is_dry_run()? { vec![(query_idx & 1) == 1; max_needed_bits] } else { @@ -854,32 +855,31 @@ fn gpu_prove_from_trace< as usize; assert!(inner_idx < u32::MAX); query_details_for_cosets[coset_idx].push(inner_idx); - query_idx_and_coset_idx_map[query_idx] = coset_idx; + *map = coset_idx; } let mut d_query_details = vec![]; - for queries_for_coset in query_details_for_cosets.iter().cloned() { - let mut d_queries_for_coset = svec!(queries_for_coset.len()); - mem::h2d(&queries_for_coset, &mut d_queries_for_coset)?; + for queries_for_coset in query_details_for_cosets.iter() { + let len = queries_for_coset.len(); + let mut d_queries_for_coset = svec!(len); + if len != 0 { + mem::h2d(queries_for_coset, &mut d_queries_for_coset)?; + } d_query_details.push(d_queries_for_coset); } - //our typical FRI schedule is [3,3,3,3,3,2] - let effective_query_indexes = - compute_effective_indexes_for_fri_layers(&fri_holder, &query_details_for_cosets)?; - let public_inputs: Vec<_> = public_inputs_with_locations .iter() .cloned() .map(|i| i.2) .collect(); - let mut gpu_proof = GpuProof::::allocate( + let mut gpu_proof = GpuProof::::allocate( trace_layout.num_polys(), setup_cache.num_polys(), // num polys is double here because argument and quotient polys have their elements in the extension field arguments_cache.num_polys(), - quotient_holder.num_polys_in_base(), + quotient_cache.num_polys(), domain_size, proof_config, geometry.lookup_parameters, @@ -894,107 +894,95 @@ fn gpu_prove_from_trace< h_evaluations_at_zero.clone(), ); - // TODO: consider to do setup query on the host - let (setup_subtrees, setup_tree_cap) = setup_cache.get_commitment::(cap_size)?; - if !is_dry_run()? { - assert_eq!(setup_base.setup_tree.get_cap(), setup_tree_cap); - } - tree_holder.setup_setup_subtrees(setup_subtrees); - // tree_holder.set_setup_tree_from_host_data(&setup_base.setup_tree); + let setup_oracle_cap = setup_cache.get_tree_cap(); - for (coset_idx, indexes_for_coset) in d_query_details.iter().enumerate() { - let num_queries_for_coset = indexes_for_coset.len(); - trace_cache.batch_query_for_coset::( + for (coset_idx, d_indexes_for_coset) in d_query_details.iter().enumerate() { + let num_queries_for_coset = d_indexes_for_coset.len(); + if num_queries_for_coset == 0 { + continue; + }; + trace_cache.batch_query_for_coset::( coset_idx, - indexes_for_coset, - num_queries_for_coset, - domain_size, + d_indexes_for_coset, &mut gpu_proof.witness_all_leaf_elems[coset_idx], &mut gpu_proof.witness_all_proofs[coset_idx], )?; - arguments_cache.batch_query_for_coset::( + arguments_cache.batch_query_for_coset::( coset_idx, - &indexes_for_coset, - num_queries_for_coset, - domain_size, + d_indexes_for_coset, &mut gpu_proof.stage_2_all_leaf_elems[coset_idx], &mut gpu_proof.stage_2_all_proofs[coset_idx], )?; - quotient_holder.batch_query_for_coset::( + quotient_cache.batch_query_for_coset::( coset_idx, - &indexes_for_coset, - num_queries_for_coset, - domain_size, + d_indexes_for_coset, &mut gpu_proof.quotient_all_leaf_elems[coset_idx], &mut gpu_proof.quotient_all_proofs[coset_idx], - &tree_holder, )?; - setup_cache.batch_query_for_coset::( + setup_cache.batch_query_for_coset::( coset_idx, - &indexes_for_coset, - num_queries_for_coset, - domain_size, + d_indexes_for_coset, &mut gpu_proof.setup_all_leaf_elems[coset_idx], &mut gpu_proof.setup_all_proofs[coset_idx], )?; } // FIXME: query FRI oracles - let mut domain_size_for_fri_layers = fri_lde_degree * domain_size; - for (layer_idx, schedule) in folding_schedule.iter().enumerate() { - for coset_idx in 0..fri_lde_degree { + + //our typical FRI schedule is [3,3,3,3,3,2] + let fri_query_indexes = fri_holder.compute_query_indexes(&query_details_for_cosets)?; + for (layer_idx, indexes) in fri_query_indexes.iter().enumerate() { + for (coset_idx, indexes) in indexes.iter().enumerate() { + if indexes.is_empty() { + continue; + }; if layer_idx == 0 { - fri_holder.base_oracle_batch_query::( - layer_idx, - &effective_query_indexes[0][coset_idx], - effective_query_indexes[0][coset_idx].len(), - domain_size_for_fri_layers, + fri_holder.base_oracle_batch_query::( + indexes, &mut gpu_proof.fri_base_oracle_leaf_elems[coset_idx], &mut gpu_proof.fri_base_oracle_proofs[coset_idx], )?; } else { - fri_holder.intermediate_oracle_batch_query::( + fri_holder.intermediate_oracle_batch_query::( layer_idx, - &effective_query_indexes[layer_idx][coset_idx], - effective_query_indexes[layer_idx][coset_idx].len(), - domain_size_for_fri_layers, + indexes, &mut gpu_proof.fri_intermediate_oracles_leaf_elems[layer_idx - 1][coset_idx], &mut gpu_proof.fri_intermediate_oracles_proofs[layer_idx - 1][coset_idx], )?; } } - domain_size_for_fri_layers >>= schedule; } synchronize_streams()?; - // #[cfg(feature = "allocator_stats")] - // { - // let mut guard = _alloc().stats.lock().unwrap(); - // guard - // .allocations_at_maximum_block_count_at_maximum_tail_index - // .print(false, false); - // guard.reset(); - // } + #[cfg(feature = "allocator_stats")] + { + println!("block size in bytes: {}", _alloc().block_size_in_bytes); + let mut guard = _alloc().stats.lock().unwrap(); + guard + .allocations_at_maximum_block_count_at_maximum_tail_index + .print(false, false); + guard.reset(); + } gpu_proof.public_inputs = public_inputs; gpu_proof.witness_oracle_cap = trace_tree_cap; gpu_proof.stage_2_oracle_cap = argument_tree_cap; gpu_proof.quotient_oracle_cap = quotient_tree_cap; - gpu_proof.setup_oracle_cap = setup_base.setup_tree.get_cap(); - gpu_proof.fri_base_oracle_cap = fri_holder.base_oracle.get_tree_cap()?; + gpu_proof.setup_oracle_cap = setup_oracle_cap; + gpu_proof.fri_base_oracle_cap = fri_holder.base_oracle.get_tree_cap(); gpu_proof.fri_intermediate_oracles_caps = fri_holder .intermediate_oracles .into_iter() - .map(|o| o.get_tree_cap().expect("fri oracle cap")) + .map(|o| o.get_tree_cap()) .collect(); gpu_proof.final_fri_monomials = final_fri_monomials; Ok(gpu_proof) } -pub struct GpuProof { +pub struct GpuProof { proof_config: ProofConfig, public_inputs: Vec, pow_challenge: u64, @@ -1006,32 +994,32 @@ pub struct GpuProof { query_details: Vec>, query_map: Vec, - witness_oracle_cap: Vec<[F; 4]>, + witness_oracle_cap: Vec, // only inner vectors needs to be located in the pinned memory witness_all_leaf_elems: Vec>, - witness_all_proofs: Vec>, + witness_all_proofs: Vec>, - stage_2_oracle_cap: Vec<[F; 4]>, + stage_2_oracle_cap: Vec, stage_2_all_leaf_elems: Vec>, - stage_2_all_proofs: Vec>, + stage_2_all_proofs: Vec>, - quotient_oracle_cap: Vec<[F; 4]>, + quotient_oracle_cap: Vec, quotient_all_leaf_elems: Vec>, - quotient_all_proofs: Vec>, + quotient_all_proofs: Vec>, - setup_oracle_cap: Vec<[F; 4]>, + setup_oracle_cap: Vec, setup_all_leaf_elems: Vec>, - setup_all_proofs: Vec>, + setup_all_proofs: Vec>, - fri_base_oracle_cap: Vec<[F; 4]>, + fri_base_oracle_cap: Vec, fri_base_oracle_leaf_elems: Vec>, - fri_base_oracle_proofs: Vec>, + fri_base_oracle_proofs: Vec>, - fri_intermediate_oracles_caps: Vec>, + fri_intermediate_oracles_caps: Vec>, fri_intermediate_oracles_leaf_elems: Vec>>, - fri_intermediate_oracles_proofs: Vec>>, + fri_intermediate_oracles_proofs: Vec>>, fri_folding_schedule: Vec, - // last monomials doesn't need to be allocated on the pinned memory + // last monomials do not need to be allocated on the pinned memory // since intermediate transfer uses pinned then global allocator. final_fri_monomials: [Vec; 2], @@ -1040,7 +1028,8 @@ pub struct GpuProof { values_at_z_zero: Vec, } -impl GpuProof { +impl GpuProof { + #[allow(clippy::too_many_arguments)] pub fn allocate( num_trace_polys: usize, num_setup_polys: usize, @@ -1073,11 +1062,11 @@ impl GpuProof { ); assert!(domain_size.is_power_of_two()); - assert!(values_at_z.len() > 0); - assert!(values_at_z_omega.len() > 0); + assert!(!values_at_z.is_empty()); + assert!(!values_at_z_omega.is_empty()); assert_eq!(query_details.len(), fri_lde_factor); if lookup_params.lookup_is_allowed() { - assert!(values_at_z_zero.len() > 0); + assert!(!values_at_z_zero.is_empty()); } assert_eq!( @@ -1088,7 +1077,7 @@ impl GpuProof { // it is guaranteed that number of leaf elems is the largest in the witness tree than other trees let typical_capacity_for_leaf = num_queries * num_trace_polys; let typical_capacity_for_proof = - num_queries * NUM_EL_PER_HASH * domain_size.trailing_zeros() as usize; + num_queries * H::CAPACITY * domain_size.trailing_zeros() as usize; let num_fri_layers = folding_schedule.len(); let mut proof = GpuProof { proof_config, @@ -1192,8 +1181,8 @@ impl GpuProof { } } -impl Into> for GpuProof { - fn into(self) -> Proof { +impl From> for Proof { + fn from(value: GpuProof) -> Self { let GpuProof { proof_config, public_inputs, @@ -1228,18 +1217,17 @@ impl Into> for GpuProof { values_at_z_zero, final_fri_monomials, domain_size, - } = self; + } = value; let mut num_queries = vec![]; for indexes in query_details.iter() { num_queries.push(indexes.len()); } let mut offsets_for_query_in_coset = vec![0; proof_config.fri_lde_factor]; let mut queries_per_fri_repetition = vec![]; - let coset_cap_size = coset_cap_size( - proof_config.merkle_tree_cap_size, - proof_config.fri_lde_factor, - ); - assert!(coset_cap_size.is_power_of_two()); + let cap_size = proof_config.merkle_tree_cap_size; + assert!(cap_size.is_power_of_two()); + let fri_lde_degree = proof_config.fri_lde_factor; + assert!(fri_lde_degree.is_power_of_two()); for coset_idx in query_map.into_iter() { assert!(coset_idx < proof_config.fri_lde_factor); @@ -1249,7 +1237,8 @@ impl Into> for GpuProof { let witness_query = construct_single_query_from_flattened_batch_sources( &witness_all_leaf_elems[coset_idx], &witness_all_proofs[coset_idx], - coset_cap_size, + fri_lde_degree, + cap_size, num_queries_in_coset, query_idx_in_coset, num_trace_polys, @@ -1261,7 +1250,8 @@ impl Into> for GpuProof { let stage_2_query = construct_single_query_from_flattened_batch_sources( &stage_2_all_leaf_elems[coset_idx], &stage_2_all_proofs[coset_idx], - coset_cap_size, + fri_lde_degree, + cap_size, num_queries_in_coset, query_idx_in_coset, num_arguments_polys, @@ -1273,7 +1263,8 @@ impl Into> for GpuProof { let quotient_query = construct_single_query_from_flattened_batch_sources( "ient_all_leaf_elems[coset_idx], "ient_all_proofs[coset_idx], - coset_cap_size, + fri_lde_degree, + cap_size, num_queries_in_coset, query_idx_in_coset, num_quotient_polys, @@ -1285,7 +1276,8 @@ impl Into> for GpuProof { let setup_query = construct_single_query_from_flattened_batch_sources( &setup_all_leaf_elems[coset_idx], &setup_all_proofs[coset_idx], - coset_cap_size, + fri_lde_degree, + cap_size, num_queries_in_coset, query_idx_in_coset, num_setup_polys, @@ -1294,7 +1286,7 @@ impl Into> for GpuProof { ); // fri - let mut domain_size_for_fri = proof_config.fri_lde_factor * domain_size; + let mut domain_size_for_fri = fri_lde_degree * domain_size; let mut fri_queries = vec![]; for (layer_idx, schedule) in fri_folding_schedule.iter().enumerate() { let num_els_per_leaf = 1 << schedule; @@ -1302,7 +1294,8 @@ impl Into> for GpuProof { construct_single_query_from_flattened_batch_sources( &fri_base_oracle_leaf_elems[coset_idx], &fri_base_oracle_proofs[coset_idx], - proof_config.merkle_tree_cap_size, + 1, + cap_size, num_queries_in_coset, query_idx_in_coset, 2, @@ -1314,7 +1307,8 @@ impl Into> for GpuProof { construct_single_query_from_flattened_batch_sources( &fri_intermediate_oracles_leaf_elems[layer_idx][coset_idx], &fri_intermediate_oracles_proofs[layer_idx][coset_idx], - proof_config.merkle_tree_cap_size, + 1, + cap_size, num_queries_in_coset, query_idx_in_coset, 2, @@ -1339,7 +1333,7 @@ impl Into> for GpuProof { offsets_for_query_in_coset[coset_idx] += 1; } - let proof = Proof:: { + Proof:: { public_inputs: public_inputs.clone(), witness_oracle_cap, stage_2_oracle_cap, @@ -1355,22 +1349,22 @@ impl Into> for GpuProof { _marker: std::marker::PhantomData, proof_config, - }; - - proof + } } } -fn construct_single_query_from_flattened_batch_sources( +#[allow(clippy::too_many_arguments)] +fn construct_single_query_from_flattened_batch_sources( leaf_elems: &[F], - proof_elems: &[F], + proof_elems: &[H::DigestElementType], + fri_lde_degree: usize, cap_size: usize, num_queries: usize, query_idx_in_coset: usize, num_cols: usize, num_elems_per_leaf: usize, domain_size: usize, -) -> OracleQuery { +) -> OracleQuery { let leaf_elements = construct_single_query_for_leaf_source_from_batch_sources( leaf_elems, num_queries, @@ -1379,8 +1373,9 @@ fn construct_single_query_from_flattened_batch_sources( num_elems_per_leaf, ); - let proof = construct_single_query_for_merkle_path_from_batch_sources( + let proof = construct_single_query_for_merkle_path_from_batch_sources::( proof_elems, + fri_lde_degree, cap_size, num_queries, query_idx_in_coset, @@ -1388,7 +1383,7 @@ fn construct_single_query_from_flattened_batch_sources( domain_size, ); - let query: OracleQuery = OracleQuery { + let query: OracleQuery = OracleQuery { leaf_elements, proof, }; @@ -1421,31 +1416,32 @@ pub(crate) fn construct_single_query_for_leaf_source_from_batch_sources( result } -pub(crate) fn construct_single_query_for_merkle_path_from_batch_sources( - proof_elems: &[F], +pub(crate) fn construct_single_query_for_merkle_path_from_batch_sources( + proof_elems: &[H::DigestElementType], + fri_lde_degree: usize, cap_size: usize, num_queries: usize, query_idx: usize, num_elems_per_leaf: usize, domain_size: usize, -) -> Vec<[F; 4]> { - assert_eq!(proof_elems.len() % num_queries * NUM_EL_PER_HASH, 0); +) -> Vec { + assert_eq!(proof_elems.len() % num_queries * H::CAPACITY, 0); + assert!(fri_lde_degree.is_power_of_two()); + assert!(cap_size.is_power_of_two()); assert!(domain_size.is_power_of_two()); assert!(num_elems_per_leaf.is_power_of_two()); let num_leafs = domain_size / num_elems_per_leaf; - let num_layers = (num_leafs.trailing_zeros() - cap_size.trailing_zeros()) as usize; - assert_eq!( - proof_elems.len(), - num_queries * num_layers * NUM_EL_PER_HASH - ); + let num_layers = (num_leafs.trailing_zeros() + fri_lde_degree.trailing_zeros() + - cap_size.trailing_zeros()) as usize; + assert_eq!(proof_elems.len(), num_queries * num_layers * H::CAPACITY); let mut result = Vec::with_capacity(num_layers); - for layer in proof_elems.chunks(num_queries * NUM_EL_PER_HASH) { - let mut tmp = [F::ZERO; NUM_EL_PER_HASH]; - for col_idx in 0..NUM_EL_PER_HASH { + for layer in proof_elems.chunks(num_queries * H::CAPACITY) { + let mut tmp = H::DigestElements::default(); + for col_idx in 0..H::CAPACITY { let idx = col_idx * num_queries + query_idx; tmp[col_idx] = layer[idx]; } - result.push(tmp); + result.push(tmp.into()); } assert_eq!(result.len(), result.capacity()); @@ -1461,15 +1457,17 @@ pub(crate) fn u64_from_lsb_first_bits(bits: &[bool]) -> u64 { result } -pub fn compute_evaluations_over_lagrange_basis<'a, A: GoodAllocator>( - trace_holder: &mut TraceCache, - setup_holder: &mut SetupCache, - argument_holder: &mut ArgumentsCache, - quotient_holder: &mut QuotientCache<'a>, +type Evaluations = Vec; + +pub fn compute_evaluations_over_lagrange_basis( + trace_holder: &mut TraceCache, + setup_holder: &mut SetupCache, + argument_holder: &mut ArgumentsCache, + quotient_holder: &mut QuotientCache, z: EF, z_omega: EF, _lde_degree: usize, -) -> CudaResult<(Vec, Vec, Vec)> { +) -> CudaResult<(Evaluations, Evaluations, Evaluations)> { // all polynomials should be opened at "z" // additionally, copy permutation polynomial should be opened at "z*w" // lookup polynomials should be opened at "0" @@ -1485,7 +1483,7 @@ pub fn compute_evaluations_over_lagrange_basis<'a, A: GoodAllocator>( setup_storage.barycentric_evaluate::(&precomputed_bases_for_z)? }; let quotient_evals_at_z = { - let quotient_storage = quotient_holder.get_or_compute_coset_evals(0)?; + let quotient_storage = quotient_holder.get_coset_evaluations(0)?; quotient_storage.barycentric_evaluate(&precomputed_bases_for_z)? }; @@ -1493,7 +1491,7 @@ pub fn compute_evaluations_over_lagrange_basis<'a, A: GoodAllocator>( let precomputed_bases_for_zero = PrecomputedBasisForBarycentric::precompute(domain_size, EF::ZERO)?; - // evaluate z(x) at z_omega direcly in monomial + // evaluate z(x) at z_omega directly in monomial let z_at_z_omega = argument_holder.get_monomials()?.as_polynomials().z_polys[0] .evaluate_at_ext(&z_omega.into())?; let argument_storage = argument_holder.get_coset_evaluations(0)?; @@ -1505,7 +1503,7 @@ pub fn compute_evaluations_over_lagrange_basis<'a, A: GoodAllocator>( } = argument_storage.as_polynomials(); let argument_evals_at_z = argument_storage.barycentric_evaluate(&precomputed_bases_for_z)?; - let lookup_evals_at_zero = if lookup_a_polys.len() > 0 { + let lookup_evals_at_zero = if !lookup_a_polys.is_empty() { assert_eq!(lookup_b_polys.len(), 1); assert_multiset_adjacent_ext(&[&lookup_a_polys, &lookup_b_polys]); let num_lookup_polys = lookup_a_polys.len() + lookup_b_polys.len(); @@ -1527,7 +1525,7 @@ pub fn compute_evaluations_over_lagrange_basis<'a, A: GoodAllocator>( num_variable_cols, num_witness_cols, num_multiplicity_cols, - } = trace_holder.layout; + } = trace_holder.polynomials_cache.layout; assert_eq!( trace_evals_at_z.len(), num_variable_cols + num_witness_cols + num_multiplicity_cols @@ -1536,7 +1534,7 @@ pub fn compute_evaluations_over_lagrange_basis<'a, A: GoodAllocator>( num_permutation_cols, num_constant_cols, num_table_cols, - } = setup_holder.layout; + } = setup_holder.polynomials_cache.layout; assert_eq!( setup_evals_at_z.len(), num_permutation_cols + num_constant_cols + num_table_cols @@ -1581,7 +1579,7 @@ pub fn compute_evaluations_over_lagrange_basis<'a, A: GoodAllocator>( polynomials_at_z.extend_from_slice(&permutations_at_z); polynomials_at_z.extend_from_slice(copy_permutation_evals_at_z); polynomials_at_z.extend_from_slice(&multiplicity_evals_at_z); - polynomials_at_z.extend_from_slice(&lookup_evals_at_z); + polynomials_at_z.extend_from_slice(lookup_evals_at_z); polynomials_at_z.extend_from_slice(&table_cols_at_z); polynomials_at_z.extend_from_slice("ient_evals_at_z); @@ -1618,11 +1616,12 @@ pub fn compute_denom_at_ext_point<'a>( Ok(denom) } +#[allow(clippy::too_many_arguments)] fn compute_deep_quotiening_over_coset( trace_polys: &TracePolynomials, setup_polys: &SetupPolynomials, argument_polys: &ArgumentsPolynomials, - quotient_poly_constraints: &GenericComplexPolynomialStorage, + quotient_polys: &QuotientPolynomials, roots: Poly, _coset_idx: usize, evaluations_at_z: &SVec, @@ -1636,8 +1635,8 @@ fn compute_deep_quotiening_over_coset( let domain_size = trace_polys.variable_cols[0].domain_size(); let mut quotient = ComplexPoly::::empty(domain_size)?; - let denom_at_z = compute_denom_at_ext_point(&roots, &z)?; - let denom_at_z_omega = compute_denom_at_ext_point(&roots, &z_omega)?; + let denom_at_z = compute_denom_at_ext_point(&roots, z)?; + let denom_at_z_omega = compute_denom_at_ext_point(&roots, z_omega)?; let ( maybe_multiplicity_cols, @@ -1645,7 +1644,7 @@ fn compute_deep_quotiening_over_coset( maybe_lookup_b_polys, maybe_table_cols, maybe_denom_at_zero, - ) = if argument_polys.lookup_a_polys.len() > 0 { + ) = if !argument_polys.lookup_a_polys.is_empty() { ( Some(&trace_polys.multiplicity_cols), Some(argument_polys.lookup_a_polys.as_slice()), @@ -1657,7 +1656,7 @@ fn compute_deep_quotiening_over_coset( (None, None, None, None, None) }; - let maybe_witness_cols = if trace_polys.witness_cols.len() > 0 { + let maybe_witness_cols = if !trace_polys.witness_cols.is_empty() { Some(&trace_polys.witness_cols) } else { None @@ -1679,10 +1678,10 @@ fn compute_deep_quotiening_over_coset( &maybe_lookup_a_polys, &maybe_lookup_b_polys, &maybe_table_cols, - "ient_poly_constraints.polynomials, - &evaluations_at_z, - &evaluations_at_z_omega, - &evaluations_at_zero, + "ient_polys.quotient_polys, + evaluations_at_z, + evaluations_at_z_omega, + evaluations_at_zero, &challenges[..challenges.len() - num_public_inputs], &denom_at_z, &denom_at_z_omega, @@ -1693,12 +1692,12 @@ fn compute_deep_quotiening_over_coset( // public inputs // One kernel per term isn't optimal, but it's easy, and should be negligible anyway let mut challenge_id = challenges.len() - num_public_inputs; - for (open_at, set) in public_input_opening_tuples.into_iter() { - let open_at_df: DF = open_at.clone().into(); + for (open_at, set) in public_input_opening_tuples.iter() { + let open_at_df: DF = open_at.into(); let denom_at_point = compute_denom_at_base_point(&roots, &open_at_df)?; // deep_quotient_public_input accumulates into quotient_for_row, so it does need to be pre-zeroed let mut quotient_for_row = ComplexPoly::::zero(domain_size)?; - for (column, expected_value) in set.into_iter() { + for (column, expected_value) in set.iter() { deep_quotient_public_input( &trace_polys.variable_cols[*column], *expected_value, diff --git a/crates/shivini/src/quotient.rs b/crates/shivini/src/quotient.rs index afdc2c6..b4ae0e7 100644 --- a/crates/shivini/src/quotient.rs +++ b/crates/shivini/src/quotient.rs @@ -1,12 +1,13 @@ -use boojum::cs::{implementations::setup::TreeNode, LookupParameters}; - use super::*; +use boojum::cs::{implementations::setup::TreeNode, LookupParameters}; +use era_cudart::slice::CudaSlice; // The incoming quotient is assumed to be empty (not zeroed). -pub fn compute_quotient_by_coset( - trace_cache: &mut TraceCache, - setup_cache: &mut SetupCache, - arguments_cache: &mut ArgumentsCache, +#[allow(clippy::too_many_arguments)] +pub fn compute_quotient_by_coset( + trace_cache: &mut TraceCache, + setup_cache: &mut SetupCache, + arguments_cache: &mut ArgumentsCache, lookup_params: LookupParameters, table_ids_column_idxes: &[usize], selector_placement: &TreeNode, @@ -14,7 +15,7 @@ pub fn compute_quotient_by_coset( general_purpose_gates: &[GateEvaluationParams], coset_idx: usize, domain_size: usize, - used_lde_degree: usize, + max_lde_degree: usize, num_cols_per_product: usize, copy_permutation_challenge_z_at_one_equals_one: &EF, copy_permutation_challenges_partial_product_terms: &SVec, @@ -51,14 +52,14 @@ pub fn compute_quotient_by_coset( } = arguments_storage.as_polynomials(); let z_poly = &z_polys[0]; - let l0 = compute_l0_over_coset(coset_idx, domain_size, used_lde_degree)?; + let l0 = compute_l0_over_coset(coset_idx, domain_size, max_lde_degree)?; assert_eq!(l0.storage.len(), domain_size); mem::d2d(z_poly.as_single_slice(), quotient.as_single_slice_mut())?; quotient.sub_constant(&DExt::one()?)?; quotient.mul_assign_real(&l0)?; quotient.scale(©_permutation_challenge_z_at_one_equals_one.into())?; - if specialized_gates.len() > 0 { + if !specialized_gates.is_empty() { generic_evaluate_constraints_by_coset( &variable_cols, &witness_cols, @@ -66,47 +67,50 @@ pub fn compute_quotient_by_coset( specialized_gates, selector_placement.clone(), domain_size, - alpha.clone(), + *alpha, specialized_cols_challenge_power_offset, quotient, true, )?; } - assert!(general_purpose_gates.len() > 0); - if general_purpose_gates.len() > 1 { - generic_evaluate_constraints_by_coset( - &variable_cols, - &witness_cols, - &constant_cols, - general_purpose_gates, - selector_placement.clone(), - domain_size, - alpha.clone(), - general_purpose_cols_challenge_power_offset, - quotient, - false, - )?; - } + assert!(!general_purpose_gates.is_empty()); + generic_evaluate_constraints_by_coset( + &variable_cols, + &witness_cols, + &constant_cols, + general_purpose_gates, + selector_placement.clone(), + domain_size, + *alpha, + general_purpose_cols_challenge_power_offset, + quotient, + false, + )?; assert_eq!( copy_permutation_challenges_partial_product_terms.len(), - arguments_cache.layout.num_partial_products / 2 + 1 + arguments_cache + .polynomials_cache + .layout + .num_partial_products + / 2 + + 1 ); - let coset_omegas = compute_omega_values_for_coset(coset_idx, domain_size, used_lde_degree)?; + let coset_omegas = compute_omega_values_for_coset(coset_idx, domain_size, max_lde_degree)?; compute_quotient_for_partial_products( &variable_cols, &permutation_cols, - &z_poly, + z_poly, &partial_products, &coset_omegas, num_cols_per_product, - &beta, - &gamma, - &non_residues_by_beta, - ©_permutation_challenges_partial_product_terms, + beta, + gamma, + non_residues_by_beta, + copy_permutation_challenges_partial_product_terms, quotient, )?; @@ -124,8 +128,8 @@ pub fn compute_quotient_by_coset( &lookup_b_polys, lookup_params, lookup_beta.unwrap(), - &powers_of_gamma_for_lookup, - &lookup_challenges, + powers_of_gamma_for_lookup, + lookup_challenges, variables_offset, columns_per_subargument, table_ids_column_idxes, @@ -135,8 +139,8 @@ pub fn compute_quotient_by_coset( assert!(powers_of_gamma_for_lookup.is_none()); } - divide_by_vanishing_poly_over_coset(&mut quotient.c0, coset_idx, domain_size, used_lde_degree)?; - divide_by_vanishing_poly_over_coset(&mut quotient.c1, coset_idx, domain_size, used_lde_degree)?; + divide_by_vanishing_poly_over_coset(&mut quotient.c0, coset_idx, domain_size, max_lde_degree)?; + divide_by_vanishing_poly_over_coset(&mut quotient.c1, coset_idx, domain_size, max_lde_degree)?; Ok(()) } diff --git a/crates/shivini/src/static_allocator/device.rs b/crates/shivini/src/static_allocator/device.rs index 6193c5c..2581696 100644 --- a/crates/shivini/src/static_allocator/device.rs +++ b/crates/shivini/src/static_allocator/device.rs @@ -2,24 +2,23 @@ use era_cudart::memory::{memory_get_info, DeviceAllocation}; use super::*; use derivative::*; +use era_cudart_sys::CudaError; use std::alloc::{Allocator, Layout}; use std::ops::Deref; - -use era_cudart_sys::CudaError; use std::ptr::NonNull; use std::sync::{Arc, Mutex}; pub const FREE_MEMORY_SLACK: usize = 1 << 23; // 8 MB pub const DEFAULT_MIN_NUM_BLOCKS: usize = 512; -pub const SMALL_ALLOCATOR_BLOCK_SIZE: usize = 32; -pub const SMALL_ALLOCATOR_BLOCKS_COUNT: usize = 1 << 10; // 256 KB +pub const SMALL_ALLOCATOR_BLOCK_SIZE: usize = 8; +pub const SMALL_ALLOCATOR_BLOCKS_COUNT: usize = 1 << 14; // 1 MB #[derive(Derivative)] #[derivative(Clone, Debug)] pub struct StaticDeviceAllocator { memory: Arc>, - memory_size: usize, - block_size_in_bytes: usize, + pub(crate) memory_size: usize, + pub(crate) block_size_in_bytes: usize, // TODO: Can we use deque bitmap: Arc>>, #[cfg(feature = "allocator_stats")] @@ -27,7 +26,6 @@ pub struct StaticDeviceAllocator { } #[cfg(feature = "allocator_stats")] -#[allow(dead_code)] mod stats { use derivative::Derivative; use std::collections::BTreeMap; @@ -124,6 +122,7 @@ mod stats { self.allocations.remove(&index); } + #[allow(dead_code)] pub fn print(&self, detailed: bool, with_backtrace: bool) { println!("allocations:"); self.allocations.print(detailed, with_backtrace); @@ -177,8 +176,8 @@ impl StaticDeviceAllocator { let mut num_blocks = max_num_blocks; while num_blocks >= min_num_blocks { let memory_size = num_blocks * block_size; - let memory_size_in_bytes = memory_size * std::mem::size_of::(); - let block_size_in_bytes = block_size * std::mem::size_of::(); + let memory_size_in_bytes = memory_size * size_of::(); + let block_size_in_bytes = block_size * size_of::(); let result = DeviceAllocation::alloc(memory_size_in_bytes); let memory = match result { @@ -207,7 +206,7 @@ impl StaticDeviceAllocator { } pub fn init_all(min_num_blocks: usize, block_size: usize) -> CudaResult { - let block_size_in_bytes = block_size * std::mem::size_of::(); + let block_size_in_bytes = block_size * size_of::(); let (memory_size_in_bytes, _total) = memory_get_info().expect("get memory info"); assert!(memory_size_in_bytes >= FREE_MEMORY_SLACK); let free_memory_size_in_bytes = memory_size_in_bytes - FREE_MEMORY_SLACK; @@ -250,7 +249,7 @@ impl StaticDeviceAllocator { busy_block_idx = start + idx; } } - if has_busy_block == false { + if !has_busy_block { for entry in bitmap[start..end].iter_mut() { *entry = true; } @@ -359,6 +358,7 @@ unsafe impl Allocator for StaticDeviceAllocator { todo!() } + #[allow(unused_must_use)] unsafe fn deallocate(&self, ptr: NonNull, layout: Layout) { let size = layout.size(); assert!(size > 0); diff --git a/crates/shivini/src/static_allocator/host.rs b/crates/shivini/src/static_allocator/host.rs index 330f37e..c56dee1 100644 --- a/crates/shivini/src/static_allocator/host.rs +++ b/crates/shivini/src/static_allocator/host.rs @@ -42,7 +42,6 @@ impl StaticHostAllocator { self.memory.as_ptr() } - #[allow(dead_code)] pub fn block_size_in_bytes(&self) -> usize { self.block_size_in_bytes } @@ -51,13 +50,11 @@ impl StaticHostAllocator { assert_ne!(num_blocks, 0); assert!(block_size.is_power_of_two()); let memory_size = num_blocks * block_size; - let memory_size_in_bytes = memory_size * std::mem::size_of::(); - let block_size_in_bytes = block_size * std::mem::size_of::(); + let memory_size_in_bytes = memory_size * size_of::(); + let block_size_in_bytes = block_size * size_of::(); - let memory = - HostAllocation::alloc(memory_size_in_bytes, CudaHostAllocFlags::DEFAULT).expect( - &format!("failed to allocate {} bytes", memory_size_in_bytes), - ); + let memory = HostAllocation::alloc(memory_size_in_bytes, CudaHostAllocFlags::DEFAULT) + .unwrap_or_else(|_| panic!("failed to allocate {memory_size_in_bytes} bytes")); println!("allocated {memory_size_in_bytes} bytes on host"); @@ -106,7 +103,7 @@ impl StaticHostAllocator { busy_block_idx = start + idx; } } - if has_busy_block == false { + if !has_busy_block { for entry in self.bitmap[start..end].iter() { entry.store(true, Ordering::SeqCst); } @@ -130,7 +127,6 @@ impl StaticHostAllocator { .is_ok(); } - #[allow(dead_code)] pub fn free(self) -> CudaResult<()> { println!("freeing static host allocation"); assert_eq!(Arc::weak_count(&self.memory), 0); @@ -209,12 +205,10 @@ impl SmallStaticHostAllocator { Ok(Self { inner }) } - #[allow(dead_code)] pub fn free(self) -> CudaResult<()> { self.inner.free() } - #[allow(dead_code)] pub fn block_size_in_bytes(&self) -> usize { self.inner.block_size_in_bytes } diff --git a/crates/shivini/src/synthesis_utils.rs b/crates/shivini/src/synthesis_utils.rs index e76194e..e5f487f 100644 --- a/crates/shivini/src/synthesis_utils.rs +++ b/crates/shivini/src/synthesis_utils.rs @@ -1,5 +1,6 @@ +use crate::GpuTreeHasher; use boojum::config::{ - CSConfig, CSSetupConfig, CSWitnessEvaluationConfig, ProvingCSConfig, SetupCSConfig, + CSConfig, CSSetupConfig, CSWitnessEvaluationConfig, DevCSConfig, ProvingCSConfig, SetupCSConfig, }; use boojum::cs::cs_builder::new_builder; use boojum::cs::cs_builder_reference::CsReferenceImplementationBuilder; @@ -8,10 +9,17 @@ use boojum::cs::implementations::proof::Proof; use boojum::cs::implementations::prover::ProofConfig; use boojum::cs::implementations::reference_cs::{CSReferenceAssembly, CSReferenceImplementation}; use boojum::cs::implementations::setup::FinalizationHintsForProver; +use boojum::cs::implementations::transcript::Transcript; use boojum::cs::implementations::verifier::{VerificationKey, Verifier}; use boojum::cs::traits::GoodAllocator; use boojum::cs::{CSGeometry, GateConfigurationHolder, StaticToolboxHolder}; use boojum::field::goldilocks::{GoldilocksExt2, GoldilocksField}; +use circuit_definitions::circuit_definitions::aux_layer::compression::{ + CompressionLayerCircuit, ProofCompressionFunction, +}; +use circuit_definitions::circuit_definitions::aux_layer::{ + ZkSyncCompressionForWrapperCircuit, ZkSyncCompressionLayerCircuit, +}; use circuit_definitions::circuit_definitions::base_layer::ZkSyncBaseLayerCircuit; use circuit_definitions::circuit_definitions::recursion_layer::ZkSyncRecursiveLayerCircuit; #[allow(unused_imports)] @@ -22,52 +30,59 @@ use circuit_definitions::{ base_layer_proof_config, recursion_layer_proof_config, ZkSyncDefaultRoundFunction, }; -use crate::{DefaultTranscript, DefaultTreeHasher}; - type F = GoldilocksField; type P = F; #[allow(dead_code)] -type ZksyncProof = Proof; -#[allow(dead_code)] +type ZksyncProof = Proof; +#[allow(clippy::upper_case_acronyms)] type EXT = GoldilocksExt2; +#[allow(clippy::large_enum_variant)] #[derive(Clone, serde::Serialize, serde::Deserialize)] pub(crate) enum CircuitWrapper { Base(ZkSyncBaseLayerCircuit), Recursive(ZkSyncRecursiveLayerCircuit), + CompressionLayer(ZkSyncCompressionLayerCircuit), + CompressionWrapper(ZkSyncCompressionForWrapperCircuit), } +#[allow(dead_code)] impl CircuitWrapper { pub fn geometry(&self) -> CSGeometry { match self { CircuitWrapper::Base(inner) => inner.geometry(), CircuitWrapper::Recursive(inner) => inner.geometry(), + CircuitWrapper::CompressionLayer(inner) => inner.geometry(), + CircuitWrapper::CompressionWrapper(inner) => inner.geometry(), } } pub fn size_hint(&self) -> (Option, Option) { match self { CircuitWrapper::Base(inner) => inner.size_hint(), CircuitWrapper::Recursive(inner) => inner.size_hint(), + CircuitWrapper::CompressionLayer(inner) => inner.size_hint(), + CircuitWrapper::CompressionWrapper(inner) => inner.size_hint(), } } - #[allow(dead_code)] pub fn numeric_circuit_type(&self) -> u8 { match self { CircuitWrapper::Base(inner) => inner.numeric_circuit_type(), CircuitWrapper::Recursive(inner) => inner.numeric_circuit_type(), + CircuitWrapper::CompressionLayer(inner) => inner.numeric_circuit_type(), + CircuitWrapper::CompressionWrapper(inner) => inner.numeric_circuit_type(), } } - #[allow(dead_code)] pub fn short_description(&self) -> &str { match self { CircuitWrapper::Base(inner) => inner.short_description(), CircuitWrapper::Recursive(inner) => inner.short_description(), + CircuitWrapper::CompressionLayer(inner) => inner.short_description(), + CircuitWrapper::CompressionWrapper(inner) => inner.short_description(), } } - #[allow(dead_code)] pub fn into_base_layer(self) -> ZkSyncBaseLayerCircuit { match self { CircuitWrapper::Base(inner) => inner, @@ -75,7 +90,6 @@ impl CircuitWrapper { } } - #[allow(dead_code)] pub fn into_recursive_layer(self) -> ZkSyncRecursiveLayerCircuit { match self { CircuitWrapper::Recursive(inner) => inner, @@ -83,7 +97,20 @@ impl CircuitWrapper { } } - #[allow(dead_code)] + pub fn into_compression_layer(self) -> ZkSyncCompressionLayerCircuit { + match self { + CircuitWrapper::CompressionLayer(inner) => inner, + _ => unimplemented!(), + } + } + + pub fn into_compression_wrapper(self) -> ZkSyncCompressionForWrapperCircuit { + match self { + CircuitWrapper::CompressionWrapper(inner) => inner, + _ => unimplemented!(), + } + } + pub fn as_base_layer(&self) -> &ZkSyncBaseLayerCircuit { match self { CircuitWrapper::Base(inner) => inner, @@ -91,7 +118,6 @@ impl CircuitWrapper { } } - #[allow(dead_code)] pub fn as_recursive_layer(&self) -> &ZkSyncRecursiveLayerCircuit { match self { CircuitWrapper::Recursive(inner) => inner, @@ -99,33 +125,43 @@ impl CircuitWrapper { } } - #[allow(dead_code)] pub fn is_base_layer(&self) -> bool { matches!(self, CircuitWrapper::Base(_)) } - #[allow(dead_code)] pub fn proof_config(&self) -> ProofConfig { match self { CircuitWrapper::Base(_) => base_layer_proof_config(), CircuitWrapper::Recursive(_) => recursion_layer_proof_config(), + CircuitWrapper::CompressionLayer(compression_circuit) => { + compression_circuit.proof_config_for_compression_step() + } + CircuitWrapper::CompressionWrapper(compression_wrapper_circuit) => { + compression_wrapper_circuit.proof_config_for_compression_step() + } } } - #[allow(dead_code)] - pub fn verify_proof( + pub fn verify_proof, H: GpuTreeHasher>( &self, - vk: &VerificationKey, - proof: &ZksyncProof, + transcript_params: T::TransciptParameters, + vk: &VerificationKey, + proof: &ZksyncProof, ) -> bool { let verifier = self.get_verifier(); - verifier.verify::((), vk, proof) + verifier.verify::(transcript_params, vk, proof) } pub(crate) fn get_verifier(&self) -> Verifier { match self { CircuitWrapper::Base(inner) => get_verifier_for_base_layer_circuit(inner), CircuitWrapper::Recursive(inner) => get_verifier_for_recursive_layer_circuit(inner), + CircuitWrapper::CompressionLayer(inner) => { + get_verifier_for_compression_layer_circuit(inner) + } + CircuitWrapper::CompressionWrapper(inner) => { + get_verifier_for_compression_wrapper_circuit(inner) + } } } } @@ -145,6 +181,20 @@ pub(crate) fn get_verifier_for_recursive_layer_circuit( verifier_builder.create_verifier() } +pub(crate) fn get_verifier_for_compression_layer_circuit( + circuit: &ZkSyncCompressionLayerCircuit, +) -> Verifier { + let verifier_builder = circuit.into_dyn_verifier_builder(); + verifier_builder.create_verifier() +} + +pub(crate) fn get_verifier_for_compression_wrapper_circuit( + circuit: &ZkSyncCompressionForWrapperCircuit, +) -> Verifier { + let verifier_builder = circuit.into_dyn_verifier_builder(); + verifier_builder.create_verifier() +} + #[allow(dead_code)] pub(crate) fn synth_circuit_for_setup( circuit: CircuitWrapper, @@ -202,6 +252,8 @@ impl AllowInitOrSynthesize for ProvingCSConfig {} impl AllowInitOrSynthesize for SetupCSConfig {} +impl AllowInitOrSynthesize for DevCSConfig {} + pub(crate) fn init_or_synthesize_assembly( circuit: CircuitWrapper, finalization_hint: Option<&FinalizationHintsForProver>, @@ -228,38 +280,8 @@ pub(crate) fn init_or_synthesize_assembly::KEEP_SETUP, false); - assert_eq!( - ::EVALUATE_WITNESS, - true - ); - } - - fn into_assembly< - CFG: CSConfig, - GC: GateConfigurationHolder, - T: StaticToolboxHolder, - A: GoodAllocator, - >( - mut cs: CSReferenceImplementation, - do_synth: bool, - finalization_hint: Option<&FinalizationHintsForProver>, - ) -> ( - CSReferenceAssembly, - Option, - ) { - if ::KEEP_SETUP { - let (_, finalization_hint) = cs.pad_and_shrink(); - (cs.into_assembly(), Some(finalization_hint)) - } else { - let hint = finalization_hint.unwrap(); - if do_synth { - cs.pad_and_shrink_using_hint(hint); - (cs.into_assembly(), None) - } else { - (cs.into_assembly_for_repeated_proving(hint), None) - } - } + assert!(!::KEEP_SETUP); + assert!(::EVALUATE_WITNESS); } let builder_arg = num_vars.unwrap(); @@ -464,5 +486,99 @@ pub(crate) fn init_or_synthesize_assembly match compression_circuit { + ZkSyncCompressionLayerCircuit::CompressionMode1Circuit(inner) => { + synthesize_compression_circuit(inner, DO_SYNTH, finalization_hint) + } + ZkSyncCompressionLayerCircuit::CompressionMode2Circuit(inner) => { + synthesize_compression_circuit(inner, DO_SYNTH, finalization_hint) + } + ZkSyncCompressionLayerCircuit::CompressionMode3Circuit(inner) => { + synthesize_compression_circuit(inner, DO_SYNTH, finalization_hint) + } + ZkSyncCompressionLayerCircuit::CompressionMode4Circuit(inner) => { + synthesize_compression_circuit(inner, DO_SYNTH, finalization_hint) + } + ZkSyncCompressionLayerCircuit::CompressionMode5Circuit(inner) => { + synthesize_compression_circuit(inner, DO_SYNTH, finalization_hint) + } + }, + CircuitWrapper::CompressionWrapper(compression_wrapper_circuit) => { + match compression_wrapper_circuit { + ZkSyncCompressionForWrapperCircuit::CompressionMode1Circuit(inner) => { + synthesize_compression_circuit(inner, DO_SYNTH, finalization_hint) + } + ZkSyncCompressionForWrapperCircuit::CompressionMode2Circuit(inner) => { + synthesize_compression_circuit(inner, DO_SYNTH, finalization_hint) + } + ZkSyncCompressionForWrapperCircuit::CompressionMode3Circuit(inner) => { + synthesize_compression_circuit(inner, DO_SYNTH, finalization_hint) + } + ZkSyncCompressionForWrapperCircuit::CompressionMode4Circuit(inner) => { + synthesize_compression_circuit(inner, DO_SYNTH, finalization_hint) + } + ZkSyncCompressionForWrapperCircuit::CompressionMode5Circuit(inner) => { + synthesize_compression_circuit(inner, DO_SYNTH, finalization_hint) + } + } + } } } + +fn into_assembly< + CFG: CSConfig, + GC: GateConfigurationHolder, + T: StaticToolboxHolder, + A: GoodAllocator, +>( + mut cs: CSReferenceImplementation, + do_synth: bool, + finalization_hint: Option<&FinalizationHintsForProver>, +) -> ( + CSReferenceAssembly, + Option, +) { + if ::KEEP_SETUP { + let (_, finalization_hint) = cs.pad_and_shrink(); + (cs.into_assembly(), Some(finalization_hint)) + } else { + let hint = finalization_hint.unwrap(); + if do_synth { + cs.pad_and_shrink_using_hint(hint); + (cs.into_assembly(), None) + } else { + (cs.into_assembly_for_repeated_proving(hint), None) + } + } +} + +pub fn synthesize_compression_circuit< + CF: ProofCompressionFunction, + CFG: CSConfig, + A: GoodAllocator, +>( + circuit: CompressionLayerCircuit, + do_synth: bool, + finalization_hint: Option<&FinalizationHintsForProver>, +) -> ( + CSReferenceAssembly, + Option, +) { + let geometry = circuit.geometry(); + let (max_trace_len, num_vars) = circuit.size_hint(); + + let builder_impl = CsReferenceImplementationBuilder::::new( + geometry, + max_trace_len.unwrap(), + ); + let builder = new_builder::<_, GoldilocksField>(builder_impl); + + let builder = circuit.configure_builder_proxy(builder); + let mut cs = builder.build(num_vars.unwrap()); + circuit.add_tables(&mut cs); + if do_synth { + circuit.synthesize_into_cs(&mut cs); + } + + into_assembly(cs, do_synth, finalization_hint) +} diff --git a/crates/shivini/src/test.rs b/crates/shivini/src/test.rs index df38ed9..4c7e924 100644 --- a/crates/shivini/src/test.rs +++ b/crates/shivini/src/test.rs @@ -1,9 +1,16 @@ -use crate::cs::{materialize_permutation_cols_from_indexes_into, GpuSetup}; +use crate::cs::{ + gpu_setup_and_vk_from_base_setup_vk_params_and_hints, + materialize_permutation_cols_from_indexes_into, +}; use super::*; use std::{path::Path, sync::Arc}; +use crate::gpu_proof_config::GpuProofConfig; +use boojum::cs::implementations::transcript::GoldilocksPoisedon2Transcript; +use boojum::cs::oracle::TreeHasher; use boojum::cs::{implementations::polynomial_storage::SetupBaseStorage, Variable}; +use boojum::field::traits::field_like::PrimeFieldLikeVectorized; use boojum::{ config::{CSConfig, CSSetupConfig, DevCSConfig, ProvingCSConfig, SetupCSConfig}, cs::{ @@ -15,7 +22,6 @@ use boojum::{ pow::NoPow, proof::Proof, prover::ProofConfig, reference_cs::CSReferenceAssembly, setup::FinalizationHintsForProver, }, - oracle::merkle_tree::MerkleTreeWithCap, traits::{cs::ConstraintSystem, gate::GatePlacementStrategy}, CSGeometry, }, @@ -37,14 +43,17 @@ use boojum::{ implementations::poseidon2::Poseidon2Goldilocks, worker::Worker, }; +use boojum_cuda::poseidon2::GLHasher; +use serial_test::serial; -use boojum::field::traits::field_like::PrimeFieldLikeVectorized; +#[cfg(test)] +type DefaultTranscript = GoldilocksPoisedon2Transcript; + +#[cfg(test)] +type DefaultTreeHasher = GLHasher; #[allow(dead_code)] pub type DefaultDevCS = CSReferenceAssembly; -type P = F; -use crate::gpu_proof_config::GpuProofConfig; -use serial_test::serial; #[serial] #[test] @@ -64,15 +73,23 @@ fn test_proof_comparison_for_poseidon_gate_with_private_witnesses() { ProverContextConfig::default().with_smallest_supported_domain_size(domain_size), ) .expect("init gpu prover context"); - let gpu_setup = GpuSetup::::from_setup_and_hints( - setup_base.clone(), - clone_reference_tree(&setup_tree), - vars_hint.clone(), - wits_hint.clone(), - &worker, - ) - .unwrap(); - + let gpu_setup = { + let (base_setup, vk_params, variables_hint, witness_hint) = setup_cs.get_light_setup( + &worker, + prover_config.fri_lde_factor, + prover_config.merkle_tree_cap_size, + ); + let (gpu_setup, gpu_vk) = gpu_setup_and_vk_from_base_setup_vk_params_and_hints( + base_setup, + vk_params, + variables_hint, + witness_hint, + &worker, + ) + .unwrap(); + assert_eq!(vk, gpu_vk); + gpu_setup + }; assert!(domain_size.is_power_of_two()); let actual_proof = { let (proving_cs, _) = init_or_synth_cs_with_poseidon2_and_private_witnesses::< @@ -85,12 +102,8 @@ fn test_proof_comparison_for_poseidon_gate_with_private_witnesses() { false, >(finalization_hint.as_ref()); let config = GpuProofConfig::from_assembly(&reusable_cs); - let proof = gpu_prove_from_external_witness_data::< - DefaultTranscript, - DefaultTreeHasher, - NoPow, - Global, - >( + + gpu_prove_from_external_witness_data::( &config, &witness, prover_config.clone(), @@ -99,9 +112,7 @@ fn test_proof_comparison_for_poseidon_gate_with_private_witnesses() { (), &worker, ) - .expect("gpu proof"); - - proof + .expect("gpu proof") }; let expected_proof = { @@ -219,12 +230,11 @@ fn test_permutation_polys() { let worker = Worker::new(); let prover_config = init_proof_cfg(); - let (setup_base, _setup, _vk, setup_tree, _vars_hint, _wits_hint) = setup_cs.get_full_setup( + let (setup_base, vk_params, variables_hint, witnesses_hint) = setup_cs.get_light_setup( &worker, prover_config.fri_lde_factor, prover_config.merkle_tree_cap_size, ); - let (variables_hint, wits_hint) = setup_cs.create_copy_hints(); let expected_permutation_polys = setup_base.copy_permutation_polys.clone(); let domain_size = setup_cs.max_trace_len; @@ -232,14 +242,15 @@ fn test_permutation_polys() { let _ctx = ProverContext::create_with_config(cfg).expect("init gpu prover context"); let num_copy_permutation_polys = variables_hint.maps.len(); - let gpu_setup = GpuSetup::::from_setup_and_hints( - setup_base, - setup_tree, - variables_hint, - wits_hint, - &worker, - ) - .expect("gpu setup"); + let (gpu_setup, _) = + gpu_setup_and_vk_from_base_setup_vk_params_and_hints::( + setup_base, + vk_params, + variables_hint, + witnesses_hint, + &worker, + ) + .expect("gpu setup"); println!("Gpu setup is made"); let mut actual_copy_permutation_polys = @@ -261,7 +272,7 @@ fn test_permutation_polys() { .into_iter() .map(|p| Arc::try_unwrap(p).unwrap()) .map(|p| p.storage) - .map(|p| P::vec_into_base_vec(p)) + .map(F::vec_into_base_vec) .zip( actual_copy_permutation_polys .into_poly_storage() @@ -284,7 +295,7 @@ fn test_setup_comparison() { let worker = Worker::new(); let prover_config = init_proof_cfg(); - let (setup_base, _setup, _vk, setup_tree, vars_hint, wits_hint) = setup_cs.get_full_setup( + let (setup_base, vk_params, vars_hint, wits_hint) = setup_cs.get_light_setup( &worker, prover_config.fri_lde_factor, prover_config.merkle_tree_cap_size, @@ -298,9 +309,10 @@ fn test_setup_comparison() { let expected_setup = GenericSetupStorage::from_host_values(&setup_base).unwrap(); - let gpu_setup = GpuSetup::::from_setup_and_hints( - setup_base, setup_tree, vars_hint, wits_hint, &worker, - ) + let (gpu_setup, _vk) = gpu_setup_and_vk_from_base_setup_vk_params_and_hints::< + DefaultTreeHasher, + _, + >(setup_base, vk_params, vars_hint, wits_hint, &worker) .expect("gpu setup"); let actual_setup = GenericSetupStorage::from_gpu_setup(&gpu_setup, &worker).unwrap(); @@ -319,16 +331,6 @@ fn test_setup_comparison() { ); } -fn clone_reference_tree( - input: &MerkleTreeWithCap, -) -> MerkleTreeWithCap { - MerkleTreeWithCap { - cap_size: input.cap_size, - leaf_hashes: input.leaf_hashes.clone(), - node_hashes_enumerated_from_leafs: input.node_hashes_enumerated_from_leafs.clone(), - } -} - #[cfg(feature = "allocator_stats")] #[serial] #[test] @@ -344,21 +346,23 @@ fn test_dry_runs() { let config = GpuProofConfig::from_assembly(&reusable_cs); let worker = Worker::new(); let prover_config = init_proof_cfg(); - let (setup_base, _setup, vk, setup_tree, vars_hint, wits_hint) = setup_cs.get_full_setup( + let (setup_base, vk_params, vars_hint, wits_hint) = setup_cs.get_light_setup( &worker, prover_config.fri_lde_factor, prover_config.merkle_tree_cap_size, ); let domain_size = setup_cs.max_trace_len; - let _ctx = ProverContext::dev(domain_size).expect("init gpu prover context"); - let gpu_setup = GpuSetup::::from_setup_and_hints( - setup_base.clone(), - clone_reference_tree(&setup_tree), - vars_hint.clone(), - wits_hint.clone(), - &worker, - ) - .unwrap(); + let cfg = ProverContextConfig::default().with_smallest_supported_domain_size(domain_size); + let _ctx = ProverContext::create_with_config(cfg).expect("init gpu prover context"); + let (gpu_setup, vk) = + gpu_setup_and_vk_from_base_setup_vk_params_and_hints::( + setup_base.clone(), + vk_params, + vars_hint.clone(), + wits_hint.clone(), + &worker, + ) + .unwrap(); assert!(domain_size.is_power_of_two()); let candidates = CacheStrategy::get_strategy_candidates( @@ -369,7 +373,7 @@ fn test_dry_runs() { ); for (_, strategy) in candidates.iter().copied() { let proof = || { - let _ = crate::prover::gpu_prove_from_external_witness_data_with_cache_strategy::< + let _ = gpu_prove_from_external_witness_data_with_cache_strategy::< DefaultTranscript, DefaultTreeHasher, NoPow, @@ -431,15 +435,16 @@ fn test_proof_comparison_for_sha256() { let domain_size = setup_cs.max_trace_len; let cfg = ProverContextConfig::default().with_smallest_supported_domain_size(domain_size); let _ctx = ProverContext::create_with_config(cfg).expect("init gpu prover context"); - let gpu_setup = GpuSetup::::from_setup_and_hints( - setup_base.clone(), - clone_reference_tree(&setup_tree), - vars_hint.clone(), - wits_hint.clone(), - &worker, - ) - .unwrap(); - + let (gpu_setup, gpu_vk) = + gpu_setup_and_vk_from_base_setup_vk_params_and_hints::( + setup_base.clone(), + vk.fixed_parameters.clone(), + vars_hint.clone(), + wits_hint.clone(), + &worker, + ) + .unwrap(); + assert_eq!(vk, gpu_vk); assert!(domain_size.is_power_of_two()); let actual_proof = { let (proving_cs, _) = init_or_synth_cs_for_sha256::( @@ -451,12 +456,7 @@ fn test_proof_comparison_for_sha256() { ); let config = GpuProofConfig::from_assembly(&reusable_cs); - let proof = gpu_prove_from_external_witness_data::< - DefaultTranscript, - DefaultTreeHasher, - NoPow, - Global, - >( + gpu_prove_from_external_witness_data::( &config, &witness, prover_config.clone(), @@ -465,9 +465,7 @@ fn test_proof_comparison_for_sha256() { (), &worker, ) - .expect("gpu proof"); - - proof + .expect("gpu proof") }; let expected_proof = { @@ -595,7 +593,7 @@ fn init_or_synth_cs_for_sha256, - actual_proof: &Proof, +fn compare_proofs>( + expected_proof: &Proof, + actual_proof: &Proof, ) { assert_eq!(expected_proof.public_inputs, actual_proof.public_inputs); assert_eq!( @@ -659,11 +657,10 @@ fn compare_proofs( actual_proof.queries_per_fri_repetition.len(), ); - for (_query_idx, (expected_fri_query, actual_fri_query)) in expected_proof + for (expected_fri_query, actual_fri_query) in expected_proof .queries_per_fri_repetition .iter() .zip(actual_proof.queries_per_fri_repetition.iter()) - .enumerate() { // leaf elems assert_eq!( @@ -706,11 +703,10 @@ fn compare_proofs( actual_fri_query.fri_queries.len(), ); - for (_layer_idx, (expected, actual)) in expected_fri_query + for (expected, actual) in expected_fri_query .fri_queries .iter() .zip(actual_fri_query.fri_queries.iter()) - .enumerate() { assert_eq!(expected.leaf_elements.len(), actual.leaf_elements.len()); assert_eq!(expected.leaf_elements, actual.leaf_elements); @@ -744,11 +740,10 @@ fn compare_proofs( actual_fri_query.setup_query.proof, ); - for (_layer_idx, (expected, actual)) in expected_fri_query + for (expected, actual) in expected_fri_query .fri_queries .iter() .zip(actual_fri_query.fri_queries.iter()) - .enumerate() { assert_eq!(expected.proof.len(), actual.proof.len()); assert_eq!(expected.proof, actual.proof); @@ -784,28 +779,62 @@ fn test_reference_proof_for_sha256() { } pub fn init_proof_cfg() -> ProofConfig { - let mut prover_config = ProofConfig::default(); - prover_config.fri_lde_factor = 2; - prover_config.pow_bits = 0; - prover_config.merkle_tree_cap_size = 32; - - prover_config + ProofConfig { + fri_lde_factor: 2, + pow_bits: 0, + merkle_tree_cap_size: 32, + ..Default::default() + } } #[cfg(test)] #[cfg(feature = "zksync")] mod zksync { - use std::path::PathBuf; - use super::*; + use std::fs; + use std::path::PathBuf; - use crate::cs::PACKED_PLACEHOLDER_BITMASK; - use boojum::cs::implementations::fast_serialization::MemcopySerializable; - use circuit_definitions::circuit_definitions::base_layer::ZkSyncBaseLayerCircuit; + use crate::cs::{GpuSetup, PACKED_PLACEHOLDER_BITMASK}; + use crate::prover::gpu_prove_from_external_witness_data_with_cache_strategy; + use boojum::cs::implementations::verifier::VerificationKey; + use boojum::cs::implementations::{ + fast_serialization::MemcopySerializable, transcript::GoldilocksPoisedon2Transcript, + verifier::Verifier, + }; + use circuit_definitions::circuit_definitions::{ + aux_layer::{ + compression::{CompressionLayerCircuit, ProofCompressionFunction}, + compression_modes::{CompressionTranscriptForWrapper, CompressionTreeHasherForWrapper}, + CompressionProofsTreeHasher, CompressionProofsTreeHasherForWrapper, + ZkSyncCompressionForWrapperCircuit, ZkSyncCompressionLayerCircuit, + ZkSyncCompressionProof, ZkSyncCompressionProofForWrapper, + ZkSyncCompressionVerificationKey, ZkSyncCompressionVerificationKeyForWrapper, + }, + base_layer::ZkSyncBaseLayerCircuit, + recursion_layer::{ + ZkSyncRecursionLayerProof, ZkSyncRecursionLayerVerificationKey, ZkSyncRecursionProof, + ZkSyncRecursionVerificationKey, + }, + }; use era_cudart::memory::memory_get_info; use era_cudart_sys::CudaError; + use serde::{Deserialize, Serialize}; + use synthesis_utils::synthesize_compression_circuit; + + #[derive(Debug, Serialize, Deserialize)] + #[serde(bound = "F: serde::Serialize + serde::de::DeserializeOwned")] + pub struct GpuProverSetupData { + pub setup: GpuSetup, + #[serde(bound( + serialize = "H::Output: serde::Serialize", + deserialize = "H::Output: serde::de::DeserializeOwned" + ))] + pub vk: VerificationKey, + pub finalization_hint: FinalizationHintsForProver, + } pub type ZksyncProof = Proof; + type CompressionProofsTranscript = GoldilocksPoisedon2Transcript; const TEST_DATA_ROOT_DIR: &str = "./crates/shivini/test_data"; const DEFAULT_CIRCUIT_INPUT: &str = "default.circuit"; @@ -820,14 +849,14 @@ mod zksync { fn scan_directory>(dir: P) -> Vec { let mut file_paths = vec![]; - for entry in std::fs::read_dir(dir).unwrap() { + for entry in fs::read_dir(dir).unwrap() { let entry = entry.unwrap(); let path = entry.path(); if path.is_file() { file_paths.push(path); } } - file_paths.sort_by(|a, b| a.cmp(b)); + file_paths.sort(); file_paths } @@ -838,7 +867,7 @@ mod zksync { for path in file_paths { let file_extension = path.extension().unwrap().to_string_lossy().to_string(); if file_extension.contains("circuit") { - let file = std::fs::File::open(path).unwrap(); + let file = fs::File::open(path).unwrap(); let circuit: CircuitWrapper = bincode::deserialize_from(file).expect("deserialize"); circuits.push(circuit); } @@ -854,7 +883,7 @@ mod zksync { for path in file_paths { let file_extension = path.extension().unwrap().to_string_lossy().to_string(); if file_extension.contains("setup") { - let file = std::fs::File::open(path).unwrap(); + let file = fs::File::open(path).unwrap(); let circuit: SetupBaseStorage = bincode::deserialize_from(file).expect("deserialize"); circuits.push(circuit); @@ -870,7 +899,7 @@ mod zksync { for path in file_paths { let file_extension = path.extension().unwrap().to_string_lossy().to_string(); if file_extension.contains("proof") { - let file = std::fs::File::open(path).unwrap(); + let file = fs::File::open(path).unwrap(); let proof: ZksyncProof = bincode::deserialize_from(file).expect("deserialize"); proofs.push(proof); } @@ -895,7 +924,7 @@ mod zksync { let (setup_cs, _) = synth_circuit_for_setup(circuit.clone()); let proof_cfg = circuit.proof_config(); - let (setup_base, _setup, _vk, setup_tree, vars_hint, wits_hint) = setup_cs.get_full_setup( + let (setup_base, vk_params, vars_hint, wits_hint) = setup_cs.get_light_setup( &worker, proof_cfg.fri_lde_factor, proof_cfg.merkle_tree_cap_size, @@ -907,9 +936,10 @@ mod zksync { let expected_setup = GenericSetupStorage::from_host_values(&setup_base).unwrap(); - let gpu_setup = GpuSetup::::from_setup_and_hints( - setup_base, setup_tree, vars_hint, wits_hint, &worker, - ) + let (gpu_setup, _) = gpu_setup_and_vk_from_base_setup_vk_params_and_hints::< + DefaultTreeHasher, + _, + >(setup_base, vk_params, vars_hint, wits_hint, &worker) .expect("gpu setup"); let actual_setup = GenericSetupStorage::from_gpu_setup(&gpu_setup, &worker).unwrap(); @@ -966,20 +996,20 @@ mod zksync { let proof_config = circuit.proof_config(); let (setup_cs, finalization_hint) = synth_circuit_for_setup(circuit.clone()); - let (setup_base, _setup, vk, setup_tree, vars_hint, wits_hint) = setup_cs - .get_full_setup( - worker, - proof_config.fri_lde_factor, - proof_config.merkle_tree_cap_size, - ); + let (setup_base, vk_params, vars_hint, wits_hint) = setup_cs.get_light_setup( + worker, + proof_config.fri_lde_factor, + proof_config.merkle_tree_cap_size, + ); - let gpu_setup = GpuSetup::::from_setup_and_hints( - setup_base.clone(), - setup_tree, - vars_hint.clone(), - wits_hint.clone(), - &worker, - )?; + let (gpu_setup, vk) = + gpu_setup_and_vk_from_base_setup_vk_params_and_hints::( + setup_base.clone(), + vk_params, + vars_hint.clone(), + wits_hint.clone(), + worker, + )?; println!("gpu proving"); @@ -987,7 +1017,7 @@ mod zksync { let proving_cs = synth_circuit_for_proving(circuit.clone(), &finalization_hint); let witness = proving_cs.witness.unwrap(); let config = GpuProofConfig::from_circuit_wrapper(&circuit); - let proof = gpu_prove_from_external_witness_data::< + gpu_prove_from_external_witness_data::< DefaultTranscript, DefaultTreeHasher, NoPow, @@ -1001,16 +1031,21 @@ mod zksync { (), worker, ) - .expect("gpu proof"); - proof + .expect("gpu proof") }; - let reference_proof_file = std::fs::File::open(reference_proof_path).unwrap(); + let reference_proof_file = fs::File::open(reference_proof_path).unwrap(); let reference_proof = bincode::deserialize_from(&reference_proof_file).unwrap(); let actual_proof = gpu_proof.into(); compare_proofs(&reference_proof, &actual_proof); - assert!(circuit.verify_proof(&vk, &actual_proof)); - let proof_file = std::fs::File::create(gpu_proof_path).unwrap(); + assert!( + circuit.verify_proof::( + (), + &vk, + &actual_proof + ) + ); + let proof_file = fs::File::create(gpu_proof_path).unwrap(); bincode::serialize_into(proof_file, &actual_proof).expect("write proof into file"); } @@ -1077,8 +1112,14 @@ mod zksync { worker, ) }; - assert!(circuit.verify_proof(&vk, &reference_proof)); - let proof_file = std::fs::File::create(format!( + assert!( + circuit.verify_proof::( + (), + &vk, + &reference_proof + ) + ); + let proof_file = fs::File::create(format!( "{}/{}.cpu.proof", data_dir, circuit.numeric_circuit_type() @@ -1091,6 +1132,791 @@ mod zksync { } } + fn load_scheduler_proof_and_vk() -> (ZkSyncRecursionProof, ZkSyncRecursionVerificationKey) { + let scheduler_vk_file = + fs::File::open("./test_data/compression/scheduler_recursive_vk.json").unwrap(); + let scheduler_vk: ZkSyncRecursionLayerVerificationKey = + serde_json::from_reader(&scheduler_vk_file).unwrap(); + let scheduler_proof_file = + fs::File::open("./test_data/compression/scheduler_recursive_proof.json").unwrap(); + let scheduler_proof: ZkSyncRecursionLayerProof = + serde_json::from_reader(&scheduler_proof_file).unwrap(); + + (scheduler_proof.into_inner(), scheduler_vk.into_inner()) + } + + #[test] + #[ignore] + fn run_make_compression_circuit_input() { + let compression_wrapper_mode = 1; + let (scheduler_proof, scheduler_vk) = load_scheduler_proof_and_vk(); + let circuit = CircuitWrapper::CompressionWrapper( + ZkSyncCompressionForWrapperCircuit::from_witness_and_vk( + Some(scheduler_proof), + scheduler_vk, + compression_wrapper_mode, + ), + ); + + let circuit_file_path = format!( + "./test_data/compression/compression_{}_wrapper.circuit", + compression_wrapper_mode + ); + let circuit_file = fs::File::create(&circuit_file_path).unwrap(); + bincode::serialize_into(&circuit_file, &circuit).unwrap(); + println!( + "Compression wrapper {} circuit saved into {}", + compression_wrapper_mode, circuit_file_path + ); + } + + #[test] + #[ignore] + fn run_prove_compression_wrapper_circuit() { + // Some Compression wrapper modes benefit from PoW + // and underlying PoW function is defined as assoc type of the trait + + // type H = BNHasher; + type H = CompressionTreeHasherForWrapper; + type T = CompressionTranscriptForWrapper; + + let circuit = get_circuit_from_env(); + + println!( + "{} {}", + circuit.numeric_circuit_type(), + circuit.short_description() + ); + let worker = &Worker::new(); + let proof_cfg = circuit.proof_config(); + println!("gpu proving"); + let (actual_proof, _) = prove_compression_wrapper_circuit( + circuit.clone().into_compression_wrapper(), + &mut None, + worker, + ); + + println!("cpu proving"); + let reference_proof = { + let (setup_cs, finalization_hint) = synth_circuit_for_setup(circuit.clone()); + let (setup_base, setup, vk, setup_tree, vars_hint, wits_hint) = setup_cs + .get_full_setup( + worker, + proof_cfg.fri_lde_factor, + proof_cfg.merkle_tree_cap_size, + ); + let proving_cs = synth_circuit_for_proving(circuit.clone(), &finalization_hint); + let proof = proving_cs.prove_from_precomputations::( + proof_cfg.clone(), + &setup_base, + &setup, + &setup_tree, + &vk, + &vars_hint, + &wits_hint, + (), + worker, + ); + let is_valid = circuit.verify_proof::((), &vk, &proof); + assert!(is_valid, "proof is invalid"); + proof + }; + compare_proofs(&reference_proof, &actual_proof); + } + + #[derive(Copy, Clone, Debug)] + pub enum CompressionMode { + One = 1, + Two = 2, + Three = 3, + Four = 4, + Five = 5, + } + + impl CompressionMode { + pub fn from_compression_mode(compression_mode: u8) -> Self { + match compression_mode { + 1 => CompressionMode::One, + 2 => CompressionMode::Two, + 3 => CompressionMode::Three, + 4 => CompressionMode::Four, + 5 => CompressionMode::Five, + _ => unreachable!(), + } + } + } + + #[derive(Debug)] + pub struct CompressionSchedule { + name: &'static str, + pub compression_steps: Vec, + } + + impl CompressionSchedule { + pub fn name(&self) -> &'static str { + self.name + } + pub fn hard() -> Self { + CompressionSchedule { + name: "hard", + compression_steps: vec![ + CompressionMode::One, + CompressionMode::Two, + CompressionMode::Three, + CompressionMode::Four, + ], + } + } + } + + pub enum CompressionInput { + Recursion( + Option, + ZkSyncRecursionVerificationKey, + CompressionMode, + ), + Compression( + Option, + ZkSyncCompressionVerificationKey, + CompressionMode, + ), + CompressionWrapper( + Option, + ZkSyncCompressionVerificationKey, + CompressionMode, + ), + } + + impl CompressionInput { + pub fn into_compression_circuit(self) -> ZkSyncCompressionLayerCircuit { + match self { + CompressionInput::Recursion(proof, vk, compression_mode) => { + assert_eq!(compression_mode as u8, 1); + ZkSyncCompressionLayerCircuit::from_witness_and_vk(proof, vk, 1) + } + CompressionInput::Compression(proof, vk, compression_mode) => { + ZkSyncCompressionLayerCircuit::from_witness_and_vk( + proof, + vk, + compression_mode as u8, + ) + } + CompressionInput::CompressionWrapper(_, _, _) => { + unreachable!() + } + } + } + + pub fn into_compression_wrapper_circuit(self) -> ZkSyncCompressionForWrapperCircuit { + match self { + CompressionInput::Recursion(_, _, _) => { + unreachable!() + } + CompressionInput::Compression(_, _, _) => { + unreachable!() + } + CompressionInput::CompressionWrapper(proof, vk, compression_mode) => { + ZkSyncCompressionForWrapperCircuit::from_witness_and_vk( + proof, + vk, + compression_mode as u8, + ) + } + } + } + } + + #[test] + #[ignore] + fn run_proof_compression_by_schedule() { + let (scheduler_proof, scheduler_vk) = load_scheduler_proof_and_vk(); + compress_proof(scheduler_proof, scheduler_vk, CompressionSchedule::hard()); + } + + pub fn compress_proof( + proof: ZkSyncRecursionProof, + vk: ZkSyncRecursionVerificationKey, + schedule: CompressionSchedule, + ) { + let worker = Worker::new(); + let mut input = CompressionInput::Recursion(Some(proof), vk, CompressionMode::One); + + dbg!(&schedule); + let CompressionSchedule { + name: compression_schedule_name, + compression_steps, + } = schedule; + + let last_compression_wrapping_mode = + CompressionMode::from_compression_mode(*compression_steps.last().unwrap() as u8 + 1); + dbg!(&last_compression_wrapping_mode); + + /* + This illustrates how compression enforced for the "hardest" strategy + + input compression verifier output compression wrapper + _____________________________ ____________ ___________ __________ ___________________ + scheduler proof vk 1 scheduler -> compressed1 compressed2 + compressed1 proof vk 2 compressed1 -> compressed2 compressed3 + compressed2 proof vk 3 compressed2 -> compressed3 compressed4 + compressed3 proof vk 4 compressed3 -> compressed4 compressed5 + + + compressed5 proof vk - compression wrapper5 -> fflonk proof + */ + + let num_compression_steps = compression_steps.len(); + let mut compression_modes_iter = compression_steps.into_iter(); + for step_idx in 0..num_compression_steps { + let compression_mode = compression_modes_iter.next().unwrap(); + let proof_file_path = format!( + "./test_data/compression/compression_{}_proof.json", + compression_mode as u8 + ); + let proof_file_path = Path::new(&proof_file_path); + let vk_file_path = format!( + "./test_data/compression/compression_{}_vk.json", + compression_mode as u8 + ); + let vk_file_path = Path::new(&vk_file_path); + let setup_data_file_path = format!( + "./test_data/compression/compression_{}_setup_data.bin", + compression_mode as u8 + ); + let setup_data_file_path = Path::new(&setup_data_file_path); + if proof_file_path.exists() && vk_file_path.exists() { + println!("Compression {compression_schedule_name}/{} proof and vk already exist ignoring", compression_mode as u8); + let proof_file = fs::File::open(proof_file_path).unwrap(); + let input_proof = serde_json::from_reader(&proof_file).unwrap(); + let vk_file = fs::File::open(vk_file_path).unwrap(); + let input_vk = serde_json::from_reader(&vk_file).unwrap(); + if step_idx + 1 == num_compression_steps { + input = CompressionInput::CompressionWrapper( + input_proof, + input_vk, + last_compression_wrapping_mode, + ) + } else { + input = CompressionInput::Compression( + input_proof, + input_vk, + CompressionMode::from_compression_mode(compression_mode as u8 + 1), + ) + } + + continue; + } + let mut setup_data = if setup_data_file_path.exists() { + let bytes = fs::read(setup_data_file_path).unwrap(); + println!( + "Compression wrapper setup data for {compression_schedule_name}/{} loaded", + compression_mode as u8 + ); + Some(bincode::deserialize(&bytes).unwrap()) + } else { + None + }; + + let compression_circuit = input.into_compression_circuit(); + let circuit_type = compression_circuit.numeric_circuit_type(); + println!( + "Proving compression {compression_schedule_name}/{}", + compression_mode as u8 + ); + let (output_proof, output_vk) = prove_compression_layer_circuit( + compression_circuit.clone(), + &mut setup_data, + &worker, + ); + println!( + "Proof for compression {compression_schedule_name}/{} is generated!", + compression_mode as u8 + ); + + save_compression_proof_and_vk_into_file(&output_proof, &output_vk, circuit_type); + + if setup_data.is_some() { + let bytes = bincode::serialize(&setup_data.unwrap()).unwrap(); + fs::write(setup_data_file_path, bytes).unwrap(); + println!( + "Compression wrapper setup data for {compression_schedule_name}/{} saved", + compression_mode as u8 + ); + } + + if step_idx + 1 == num_compression_steps { + input = CompressionInput::CompressionWrapper( + Some(output_proof), + output_vk, + last_compression_wrapping_mode, + ); + } else { + input = CompressionInput::Compression( + Some(output_proof), + output_vk, + CompressionMode::from_compression_mode(compression_mode as u8 + 1), + ); + } + } + + // last wrapping step + let proof_file_path = format!( + "./test_data/compression/compression_wrapper_{}_proof.json", + last_compression_wrapping_mode as u8 + ); + let proof_file_path = Path::new(&proof_file_path); + let vk_file_path = format!( + "./test_data/compression/compression_wrapper_{}_vk.json", + last_compression_wrapping_mode as u8 + ); + let vk_file_path = Path::new(&vk_file_path); + let setup_data_file_path = format!( + "./test_data/compression/compression_wrapper_{}_setup_data.bin", + last_compression_wrapping_mode as u8 + ); + let setup_data_file_path = Path::new(&setup_data_file_path); + println!( + "Compression for wrapper level {}", + last_compression_wrapping_mode as u8 + ); + if proof_file_path.exists() && vk_file_path.exists() { + println!( + "Compression {compression_schedule_name}/{} for wrapper proof and vk already exist ignoring", + last_compression_wrapping_mode as u8 + ); + } else { + println!( + "Proving compression {compression_schedule_name}/{} for wrapper", + last_compression_wrapping_mode as u8 + ); + let mut setup_data = if setup_data_file_path.exists() { + let bytes = fs::read(setup_data_file_path).unwrap(); + println!( + "Compression wrapper setup data for {compression_schedule_name}/{} loaded", + last_compression_wrapping_mode as u8 + ); + Some(bincode::deserialize(&bytes).unwrap()) + } else { + None + }; + let compression_circuit = input.into_compression_wrapper_circuit(); + let (output_proof, output_vk) = + prove_compression_wrapper_circuit(compression_circuit, &mut setup_data, &worker); + println!( + "Proof for compression wrapper {compression_schedule_name}/{} is generated!", + last_compression_wrapping_mode as u8 + ); + save_compression_wrapper_proof_and_vk_into_file( + &output_proof, + &output_vk, + last_compression_wrapping_mode as u8, + ); + println!( + "Compression wrapper proof and vk for {compression_schedule_name}/{} saved", + last_compression_wrapping_mode as u8 + ); + if setup_data.is_some() { + let bytes = bincode::serialize(&setup_data.unwrap()).unwrap(); + fs::write(setup_data_file_path, bytes).unwrap(); + println!( + "Compression wrapper setup data for {compression_schedule_name}/{} saved", + last_compression_wrapping_mode as u8 + ); + } + } + } + + pub fn save_compression_proof_and_vk_into_file( + proof: &ZkSyncCompressionProof, + vk: &ZkSyncCompressionVerificationKey, + compression_mode: u8, + ) { + let proof_file = fs::File::create(format!( + "./test_data/compression/compression_{}_proof.json", + compression_mode + )) + .unwrap(); + serde_json::to_writer(proof_file, &proof).unwrap(); + let vk_file = fs::File::create(format!( + "./test_data/compression/compression_{}_vk.json", + compression_mode + )) + .unwrap(); + serde_json::to_writer(vk_file, &vk).unwrap(); + } + + pub fn save_compression_wrapper_proof_and_vk_into_file( + proof: &ZkSyncCompressionProofForWrapper, + vk: &ZkSyncCompressionVerificationKeyForWrapper, + compression_mode: u8, + ) { + let proof_file = fs::File::create(format!( + "./test_data/compression/compression_wrapper_{}_proof.json", + compression_mode + )) + .unwrap(); + serde_json::to_writer(proof_file, &proof).unwrap(); + let vk_file = fs::File::create(format!( + "./test_data/compression/compression_wrapper_{}_vk.json", + compression_mode + )) + .unwrap(); + serde_json::to_writer(vk_file, &vk).unwrap(); + } + + pub fn prove_compression_layer_circuit( + circuit: ZkSyncCompressionLayerCircuit, + setup_data: &mut Option>, + worker: &Worker, + ) -> (ZkSyncCompressionProof, ZkSyncCompressionVerificationKey) { + let proof_config = circuit.proof_config_for_compression_step(); + let verifier_builder = circuit.into_dyn_verifier_builder(); + let verifier = verifier_builder.create_verifier(); + let gpu_proof_config = GpuProofConfig::from_compression_layer_circuit(&circuit); + + let (proof, vk, is_proof_valid) = match circuit { + ZkSyncCompressionLayerCircuit::CompressionMode1Circuit(inner) => { + let (proof, vk) = inner_prove_compression_layer_circuit( + inner.clone(), + proof_config, + gpu_proof_config, + setup_data, + worker, + ); + let is_proof_valid = verify_compression_layer_circuit(inner, &proof, &vk, verifier); + (proof, vk, is_proof_valid) + } + ZkSyncCompressionLayerCircuit::CompressionMode2Circuit(inner) => { + let (proof, vk) = inner_prove_compression_layer_circuit( + inner.clone(), + proof_config, + gpu_proof_config, + setup_data, + worker, + ); + let is_proof_valid = verify_compression_layer_circuit(inner, &proof, &vk, verifier); + (proof, vk, is_proof_valid) + } + ZkSyncCompressionLayerCircuit::CompressionMode3Circuit(inner) => { + let (proof, vk) = inner_prove_compression_layer_circuit( + inner.clone(), + proof_config, + gpu_proof_config, + setup_data, + worker, + ); + let is_proof_valid = verify_compression_layer_circuit(inner, &proof, &vk, verifier); + (proof, vk, is_proof_valid) + } + ZkSyncCompressionLayerCircuit::CompressionMode4Circuit(inner) => { + let (proof, vk) = inner_prove_compression_layer_circuit( + inner.clone(), + proof_config, + gpu_proof_config, + setup_data, + worker, + ); + let is_proof_valid = verify_compression_layer_circuit(inner, &proof, &vk, verifier); + (proof, vk, is_proof_valid) + } + ZkSyncCompressionLayerCircuit::CompressionMode5Circuit(inner) => { + let (proof, vk) = inner_prove_compression_layer_circuit( + inner.clone(), + proof_config, + gpu_proof_config, + setup_data, + worker, + ); + let is_proof_valid = verify_compression_layer_circuit(inner, &proof, &vk, verifier); + (proof, vk, is_proof_valid) + } + }; + if !is_proof_valid { + panic!("Proof is invalid"); + } + + (proof, vk) + } + + pub fn prove_compression_wrapper_circuit( + circuit: ZkSyncCompressionForWrapperCircuit, + setup_data: &mut Option>, + worker: &Worker, + ) -> ( + ZkSyncCompressionProofForWrapper, + ZkSyncCompressionVerificationKeyForWrapper, + ) { + let proof_config = circuit.proof_config_for_compression_step(); + let verifier_builder = circuit.into_dyn_verifier_builder(); + let verifier = verifier_builder.create_verifier(); + let gpu_proof_config = GpuProofConfig::from_compression_wrapper_circuit(&circuit); + + let (proof, vk, is_proof_valid) = match circuit { + ZkSyncCompressionForWrapperCircuit::CompressionMode1Circuit(inner) => { + let (proof, vk) = inner_prove_compression_wrapper_circuit( + inner.clone(), + proof_config, + gpu_proof_config, + setup_data, + worker, + ); + let is_proof_valid = + verify_compression_wrapper_circuit(inner, &proof, &vk, verifier); + (proof, vk, is_proof_valid) + } + ZkSyncCompressionForWrapperCircuit::CompressionMode2Circuit(inner) => { + let (proof, vk) = inner_prove_compression_wrapper_circuit( + inner.clone(), + proof_config, + gpu_proof_config, + setup_data, + worker, + ); + let is_proof_valid = + verify_compression_wrapper_circuit(inner, &proof, &vk, verifier); + (proof, vk, is_proof_valid) + } + ZkSyncCompressionForWrapperCircuit::CompressionMode3Circuit(inner) => { + let (proof, vk) = inner_prove_compression_wrapper_circuit( + inner.clone(), + proof_config, + gpu_proof_config, + setup_data, + worker, + ); + let is_proof_valid = + verify_compression_wrapper_circuit(inner, &proof, &vk, verifier); + (proof, vk, is_proof_valid) + } + ZkSyncCompressionForWrapperCircuit::CompressionMode4Circuit(inner) => { + let (proof, vk) = inner_prove_compression_wrapper_circuit( + inner.clone(), + proof_config, + gpu_proof_config, + setup_data, + worker, + ); + let is_proof_valid = + verify_compression_wrapper_circuit(inner, &proof, &vk, verifier); + (proof, vk, is_proof_valid) + } + ZkSyncCompressionForWrapperCircuit::CompressionMode5Circuit(inner) => { + let (proof, vk) = inner_prove_compression_wrapper_circuit( + inner.clone(), + proof_config, + gpu_proof_config, + setup_data, + worker, + ); + let is_proof_valid = + verify_compression_wrapper_circuit(inner, &proof, &vk, verifier); + (proof, vk, is_proof_valid) + } + }; + if !is_proof_valid { + panic!("Proof is invalid"); + } + + (proof, vk) + } + + pub fn inner_prove_compression_layer_circuit( + circuit: CompressionLayerCircuit, + proof_cfg: ProofConfig, + gpu_cfg: GpuProofConfig, + setup_data: &mut Option>, + worker: &Worker, + ) -> (ZkSyncCompressionProof, ZkSyncCompressionVerificationKey) { + let local_setup_data = match setup_data.take() { + Some(setup_data) => setup_data, + None => { + let (setup_cs, finalization_hint) = synthesize_compression_circuit::< + _, + SetupCSConfig, + Global, + >(circuit.clone(), true, None); + let (base_setup, vk_params, variables_hint, witnesses_hint) = setup_cs + .get_light_setup( + worker, + proof_cfg.fri_lde_factor, + proof_cfg.merkle_tree_cap_size, + ); + let domain_size = vk_params.domain_size as usize; + let config = + ProverContextConfig::default().with_smallest_supported_domain_size(domain_size); + let ctx = ProverContext::create_with_config(config).expect("gpu prover context"); + let (setup, vk) = gpu_setup_and_vk_from_base_setup_vk_params_and_hints::< + CompressionProofsTreeHasher, + _, + >( + base_setup, + vk_params, + variables_hint, + witnesses_hint, + worker, + ) + .unwrap(); + drop(ctx); + let finalization_hint = finalization_hint.unwrap(); + GpuProverSetupData { + setup, + vk, + finalization_hint, + } + } + }; + let (proving_cs, _) = synthesize_compression_circuit::<_, ProvingCSConfig, Global>( + circuit.clone(), + true, + Some(&local_setup_data.finalization_hint), + ); + let witness = proving_cs.witness.as_ref().unwrap(); + let cache_strategy = CacheStrategy { + setup_polynomials: PolynomialsCacheStrategy::CacheMonomialsAndFirstCoset, + trace_polynomials: PolynomialsCacheStrategy::CacheMonomialsAndFirstCoset, + other_polynomials: PolynomialsCacheStrategy::CacheMonomialsAndFirstCoset, + commitment: CommitmentCacheStrategy::CacheCosetCaps, + }; + let domain_size = local_setup_data.vk.fixed_parameters.domain_size as usize; + let config = + ProverContextConfig::default().with_smallest_supported_domain_size(domain_size); + let ctx = ProverContext::create_with_config(config).expect("gpu prover context"); + let gpu_proof = gpu_prove_from_external_witness_data_with_cache_strategy::< + CompressionProofsTranscript, + CompressionProofsTreeHasher, + CF::ThisLayerPoW, + Global, + >( + &gpu_cfg, + witness, + proof_cfg.clone(), + &local_setup_data.setup, + &local_setup_data.vk, + (), + worker, + cache_strategy, + ) + .expect("gpu proof"); + drop(ctx); + let proof = gpu_proof.into(); + let vk = local_setup_data.vk.clone(); + setup_data.replace(local_setup_data); + (proof, vk) + } + + pub fn inner_prove_compression_wrapper_circuit( + circuit: CompressionLayerCircuit, + proof_cfg: ProofConfig, + gpu_cfg: GpuProofConfig, + setup_data: &mut Option>, + worker: &Worker, + ) -> ( + ZkSyncCompressionProofForWrapper, + ZkSyncCompressionVerificationKeyForWrapper, + ) { + let local_setup_data = match setup_data.take() { + Some(setup_data) => setup_data, + None => { + let (setup_cs, finalization_hint) = synthesize_compression_circuit::< + _, + SetupCSConfig, + Global, + >(circuit.clone(), true, None); + let (base_setup, vk_params, variables_hint, witnesses_hint) = setup_cs + .get_light_setup( + worker, + proof_cfg.fri_lde_factor, + proof_cfg.merkle_tree_cap_size, + ); + let domain_size = vk_params.domain_size as usize; + let config = + ProverContextConfig::default().with_smallest_supported_domain_size(domain_size); + let ctx = ProverContext::create_with_config(config).expect("gpu prover context"); + let (setup, vk) = gpu_setup_and_vk_from_base_setup_vk_params_and_hints::< + CompressionProofsTreeHasherForWrapper, + _, + >( + base_setup, + vk_params, + variables_hint, + witnesses_hint, + worker, + ) + .unwrap(); + drop(ctx); + let finalization_hint = finalization_hint.unwrap(); + GpuProverSetupData { + setup, + vk, + finalization_hint, + } + } + }; + let (proving_cs, _) = synthesize_compression_circuit::<_, ProvingCSConfig, Global>( + circuit, + true, + Some(&local_setup_data.finalization_hint), + ); + let witness = proving_cs.witness.as_ref().unwrap(); + let cache_strategy = CacheStrategy { + setup_polynomials: PolynomialsCacheStrategy::CacheMonomialsAndFirstCoset, + trace_polynomials: PolynomialsCacheStrategy::CacheMonomialsAndFirstCoset, + other_polynomials: PolynomialsCacheStrategy::CacheMonomialsAndFirstCoset, + commitment: CommitmentCacheStrategy::CacheCosetCaps, + }; + let domain_size = local_setup_data.vk.fixed_parameters.domain_size as usize; + let config = + ProverContextConfig::default().with_smallest_supported_domain_size(domain_size); + let ctx = ProverContext::create_with_config(config).expect("gpu prover context"); + let gpu_proof = gpu_prove_from_external_witness_data_with_cache_strategy::< + CompressionTranscriptForWrapper, + CompressionTreeHasherForWrapper, + CF::ThisLayerPoW, + Global, + >( + &gpu_cfg, + witness, + proof_cfg.clone(), + &local_setup_data.setup, + &local_setup_data.vk, + (), + worker, + cache_strategy, + ) + .expect("gpu proof"); + drop(ctx); + let vk = local_setup_data.vk.clone(); + setup_data.replace(local_setup_data); + (gpu_proof.into(), vk) + } + + pub fn verify_compression_layer_circuit( + _circuit: CompressionLayerCircuit, + proof: &ZkSyncCompressionProof, + vk: &ZkSyncCompressionVerificationKey, + verifier: Verifier, + ) -> bool { + verifier + .verify::( + (), + vk, + proof, + ) + } + + pub fn verify_compression_wrapper_circuit( + _circuit: CompressionLayerCircuit, + proof: &ZkSyncCompressionProofForWrapper, + vk: &ZkSyncCompressionVerificationKeyForWrapper, + verifier: Verifier, + ) -> bool { + verifier.verify::( + (), + vk, + proof, + ) + } + #[serial] #[test] #[ignore] @@ -1122,14 +1948,16 @@ mod zksync { let proving_cs = synth_circuit_for_proving(circuit.clone(), &finalization_hint); - let gpu_setup = GpuSetup::::from_setup_and_hints( - setup_base.clone(), - clone_reference_tree(&setup_tree), - vars_hint.clone(), - wits_hint.clone(), - &worker, - ) - .expect("gpu setup"); + let (gpu_setup, gpu_vk) = + gpu_setup_and_vk_from_base_setup_vk_params_and_hints::( + setup_base.clone(), + vk.fixed_parameters.clone(), + vars_hint.clone(), + wits_hint.clone(), + worker, + ) + .expect("gpu setup"); + assert_eq!(vk, gpu_vk); println!("gpu proving"); let gpu_proof = { @@ -1142,7 +1970,7 @@ mod zksync { Global, >( &config, - &witness, + witness, proof_cfg.clone(), &gpu_setup, &vk, @@ -1172,7 +2000,7 @@ mod zksync { let start = std::time::Instant::now(); let actual_proof = gpu_proof.into(); println!("proof transformation takes {:?}", start.elapsed()); - circuit.verify_proof(&vk, &actual_proof); + circuit.verify_proof::((), &vk, &actual_proof); compare_proofs(&reference_proof, &actual_proof); } @@ -1189,7 +2017,7 @@ mod zksync { let worker = &Worker::new(); let (setup_cs, finalization_hint) = synth_circuit_for_setup(circuit.clone()); let proof_cfg = circuit.proof_config(); - let (setup_base, _setup, vk, setup_tree, vars_hint, wits_hint) = setup_cs.get_full_setup( + let (setup_base, vk_params, vars_hint, wits_hint) = setup_cs.get_light_setup( worker, proof_cfg.fri_lde_factor, proof_cfg.merkle_tree_cap_size, @@ -1197,14 +2025,14 @@ mod zksync { let proving_cs = synth_circuit_for_proving(circuit.clone(), &finalization_hint); let witness = proving_cs.witness.unwrap(); let config = GpuProofConfig::from_circuit_wrapper(&circuit); - let gpu_setup = { + let (gpu_setup, vk) = { let _ctx = ProverContext::create().expect("gpu prover context"); - GpuSetup::::from_setup_and_hints( + gpu_setup_and_vk_from_base_setup_vk_params_and_hints::( setup_base.clone(), - clone_reference_tree(&setup_tree), + vk_params, vars_hint.clone(), wits_hint.clone(), - &worker, + worker, ) .expect("gpu setup") }; @@ -1288,7 +2116,7 @@ mod zksync { let worker = &Worker::new(); let (setup_cs, finalization_hint) = synth_circuit_for_setup(circuit.clone()); let proof_cfg = circuit.proof_config(); - let (setup_base, _setup, vk, setup_tree, vars_hint, wits_hint) = setup_cs.get_full_setup( + let (setup_base, vk_params, vars_hint, wits_hint) = setup_cs.get_light_setup( worker, proof_cfg.fri_lde_factor, proof_cfg.merkle_tree_cap_size, @@ -1297,14 +2125,14 @@ mod zksync { let witness = proving_cs.witness.unwrap(); let reusable_cs = init_cs_for_external_proving(circuit.clone(), &finalization_hint); let config = GpuProofConfig::from_assembly(&reusable_cs); - let gpu_setup = { + let (gpu_setup, vk) = { let _ctx = ProverContext::create().expect("gpu prover context"); - GpuSetup::::from_setup_and_hints( + gpu_setup_and_vk_from_base_setup_vk_params_and_hints::( setup_base.clone(), - clone_reference_tree(&setup_tree), + vk_params, vars_hint.clone(), wits_hint.clone(), - &worker, + worker, ) .expect("gpu setup") }; @@ -1370,7 +2198,7 @@ mod zksync { init_or_synth_cs_for_sha256::(None); let worker = Worker::new(); let proof_config = init_proof_cfg(); - let (setup_base, _, vk, setup_tree, vars_hint, wits_hint) = setup_cs.get_full_setup( + let (setup_base, vk_params, vars_hint, wits_hint) = setup_cs.get_light_setup( &worker, proof_config.fri_lde_factor, proof_config.merkle_tree_cap_size, @@ -1386,14 +2214,15 @@ mod zksync { finalization_hint.as_ref(), ); let config = GpuProofConfig::from_assembly(&reusable_cs); - let mut gpu_setup = GpuSetup::::from_setup_and_hints( - setup_base.clone(), - clone_reference_tree(&setup_tree), - vars_hint.clone(), - wits_hint.clone(), - &worker, - ) - .expect("gpu setup"); + let (mut gpu_setup, vk) = + gpu_setup_and_vk_from_base_setup_vk_params_and_hints::( + setup_base.clone(), + vk_params, + vars_hint.clone(), + wits_hint.clone(), + &worker, + ) + .expect("gpu setup"); witness.public_inputs_locations = vec![(0, 0)]; gpu_setup.variables_hint[0][0] = PACKED_PLACEHOLDER_BITMASK; let _ = gpu_prove_from_external_witness_data::< @@ -1446,7 +2275,7 @@ mod zksync { // we can't clone assembly lets synth it again let mut proving_cs = synth_circuit_for_proving(circuit.clone(), &finalization_hint); let _witness_set = - proving_cs.take_witness_using_hints(&worker, &vars_hint, &witness_hints); + proving_cs.take_witness_using_hints(worker, &vars_hint, &witness_hints); proving_cs .prove_from_precomputations::( proof_cfg.clone(), @@ -1460,7 +2289,7 @@ mod zksync { worker, ) }; - circuit.verify_proof(&vk, &reference_proof); + circuit.verify_proof::((), &vk, &reference_proof); } #[serial] @@ -1488,9 +2317,9 @@ mod zksync { ); let (setup_cs, _finalization_hint) = synth_circuit_for_setup(circuit); - let reference_base_setup = setup_cs.create_base_setup(&worker, &mut ()); + let reference_base_setup = setup_cs.create_base_setup(worker, &mut ()); - let setup_file = std::fs::File::create(&setup_file_path).unwrap(); + let setup_file = fs::File::create(&setup_file_path).unwrap(); reference_base_setup .write_into_buffer(&setup_file) .expect("write gpu setup into file"); @@ -1523,30 +2352,24 @@ mod zksync { let proof_cfg = circuit.proof_config(); let (setup_cs, _finalization_hint) = synth_circuit_for_setup(circuit); - let ( - reference_base_setup, - _setup, - _vk, - reference_setup_tree, - _vars_hint, - _witness_hints, - ) = setup_cs.get_full_setup( - worker, - proof_cfg.fri_lde_factor, - proof_cfg.merkle_tree_cap_size, - ); - let (variables_hint, wits_hint) = setup_cs.create_copy_hints(); + let (setup_base, vk_params, variables_hint, witnesses_hint) = setup_cs + .get_light_setup( + worker, + proof_cfg.fri_lde_factor, + proof_cfg.merkle_tree_cap_size, + ); - let gpu_setup = GpuSetup::::from_setup_and_hints( - reference_base_setup, - reference_setup_tree, - variables_hint, - wits_hint, - &worker, - ) - .expect("gpu setup"); + let (gpu_setup, _) = + gpu_setup_and_vk_from_base_setup_vk_params_and_hints::( + setup_base, + vk_params, + variables_hint, + witnesses_hint, + worker, + ) + .expect("gpu setup"); - let setup_file = std::fs::File::create(&setup_file_path).unwrap(); + let setup_file = fs::File::create(&setup_file_path).unwrap(); bincode::serialize_into(&setup_file, &gpu_setup).unwrap(); println!("Setup written into file {}", setup_file_path); } @@ -1575,7 +2398,7 @@ mod zksync { )) }; - let data = std::fs::read(circuit_file_path).expect("circuit file"); + let data = fs::read(circuit_file_path).expect("circuit file"); bincode::deserialize(&data).expect("circuit") } diff --git a/crates/shivini/src/utils.rs b/crates/shivini/src/utils.rs index 49c17eb..c0c3e0d 100644 --- a/crates/shivini/src/utils.rs +++ b/crates/shivini/src/utils.rs @@ -11,7 +11,7 @@ pub fn bitreverse_index(n: usize, l: usize) -> usize { let mut r = n.reverse_bits(); // now we need to only use the bits that originally were "last" l, so shift - r >>= (std::mem::size_of::() * 8) - l; + r >>= usize::BITS as usize - l; r } @@ -48,8 +48,8 @@ pub fn divide_by_vanishing_poly_in_bitreversed( Ok(()) } -pub fn divide_by_vanishing_poly_over_coset<'a>( - poly: &mut Poly<'a, CosetEvaluations>, +pub fn divide_by_vanishing_poly_over_coset( + poly: &mut Poly, coset_idx: usize, domain_size: usize, lde_degree: usize, @@ -134,7 +134,7 @@ pub fn compute_coset_powers_bitreversed(domain_size: usize, lde_degree: usize) - base.mul_assign(&acc); acc.mul_assign(&lde_gen); } - crate::utils::bitreverse(&mut coset_shifts); + bitreverse(&mut coset_shifts); coset_shifts } @@ -151,12 +151,12 @@ pub fn compute_omega_values_lde( let lde_generator = domain_generator_for_size::((domain_size * lde_degree) as u64); let mut lde_generators = materialize_powers_serial::(lde_generator, lde_degree); - crate::utils::bitreverse(&mut lde_generators); + bitreverse(&mut lde_generators); let shift = F::multiplicative_generator(); let mut d_lde_generators = vec![]; for gen in lde_generators.iter_mut() { gen.mul_assign(&shift); - d_lde_generators.push(gen.clone().into()); + d_lde_generators.push((*gen).into()); } let mut omega_values_lde = dvec!(domain_size * lde_degree); @@ -183,12 +183,12 @@ pub fn compute_omega_values_for_coset( let lde_generator = domain_generator_for_size::((domain_size * lde_degree) as u64); let mut lde_generators = materialize_powers_serial::(lde_generator, lde_degree); - crate::utils::bitreverse(&mut lde_generators); + bitreverse(&mut lde_generators); let shift = F::multiplicative_generator(); let mut d_lde_generators = vec![]; for gen in lde_generators.iter_mut() { gen.mul_assign(&shift); - d_lde_generators.push(gen.clone().into()); + d_lde_generators.push((*gen).into()); } let lde_gen_for_coset = &d_lde_generators[coset_idx]; diff --git 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