Rebuild for pytorch 2.5, add python 3.13, update to flash-attn 2.7.0.post2

.ci_support/linux_64_c_compiler_version11cuda_compilernvcccuda_compiler_version11.8cxx_compiler_version11python3.10.____cpython.yaml

@@ -25,15 +25,15 @@ docker_image:
 github_actions_labels:
 - cirun-openstack-cpu-xlarge
 libtorch:
-- '2.4'
+- '2.5'
 pin_run_as_build:
   python:
     min_pin: x.x
     max_pin: x.x
 python:
 - 3.10.* *_cpython
 pytorch:
-- '2.4'
+- '2.5'
 target_platform:
 - linux-64
 zip_keys:

.ci_support/linux_64_c_compiler_version11cuda_compilernvcccuda_compiler_version11.8cxx_compiler_version11python3.11.____cpython.yaml

@@ -25,15 +25,15 @@ docker_image:
 github_actions_labels:
 - cirun-openstack-cpu-xlarge
 libtorch:
-- '2.4'
+- '2.5'
 pin_run_as_build:
   python:
     min_pin: x.x
     max_pin: x.x
 python:
 - 3.11.* *_cpython
 pytorch:
-- '2.4'
+- '2.5'
 target_platform:
 - linux-64
 zip_keys:

.ci_support/linux_64_c_compiler_version11cuda_compilernvcccuda_compiler_version11.8cxx_compiler_version11python3.12.____cpython.yaml

@@ -25,15 +25,15 @@ docker_image:
 github_actions_labels:
 - cirun-openstack-cpu-xlarge
 libtorch:
-- '2.4'
+- '2.5'
 pin_run_as_build:
   python:
     min_pin: x.x
     max_pin: x.x
 python:
 - 3.12.* *_cpython
 pytorch:
-- '2.4'
+- '2.5'
 target_platform:
 - linux-64
 zip_keys:

.ci_support/linux_64_c_compiler_version11cuda_compilernvcccuda_compiler_version11.8cxx_compiler_version11python3.13.____cp313.yaml

@@ -0,0 +1,45 @@
+c_compiler:
+- gcc
+c_compiler_version:
+- '11'
+c_stdlib:
+- sysroot
+c_stdlib_version:
+- '2.17'
+cdt_name:
+- conda
+channel_sources:
+- conda-forge
+channel_targets:
+- conda-forge main
+cuda_compiler:
+- nvcc
+cuda_compiler_version:
+- '11.8'
+cxx_compiler:
+- gxx
+cxx_compiler_version:
+- '11'
+docker_image:
+- quay.io/condaforge/linux-anvil-cuda:11.8
+github_actions_labels:
+- cirun-openstack-cpu-xlarge
+libtorch:
+- '2.5'
+pin_run_as_build:
+  python:
+    min_pin: x.x
+    max_pin: x.x
+python:
+- 3.13.* *_cp313
+pytorch:
+- '2.5'
+target_platform:
+- linux-64
+zip_keys:
+- - c_compiler_version
+  - cxx_compiler_version
+  - c_stdlib_version
+  - cuda_compiler
+  - cuda_compiler_version
+  - docker_image

.ci_support/linux_64_c_compiler_version11cuda_compilernvcccuda_compiler_version11.8cxx_compiler_version11python3.9.____cpython.yaml

@@ -25,15 +25,15 @@ docker_image:
 github_actions_labels:
 - cirun-openstack-cpu-xlarge
 libtorch:
-- '2.4'
+- '2.5'
 pin_run_as_build:
   python:
     min_pin: x.x
     max_pin: x.x
 python:
 - 3.9.* *_cpython
 pytorch:
-- '2.4'
+- '2.5'
 target_platform:
 - linux-64
 zip_keys:

.ci_support/linux_64_c_compiler_version12cuda_compilercuda-nvcccuda_compiler_version12.0cxx_compiler_version12python3.10.____cpython.yaml

@@ -25,15 +25,15 @@ docker_image:
 github_actions_labels:
 - cirun-openstack-cpu-xlarge
 libtorch:
-- '2.4'
+- '2.5'
 pin_run_as_build:
   python:
     min_pin: x.x
     max_pin: x.x
 python:
 - 3.10.* *_cpython
 pytorch:
-- '2.4'
+- '2.5'
 target_platform:
 - linux-64
 zip_keys:

.ci_support/linux_64_c_compiler_version12cuda_compilercuda-nvcccuda_compiler_version12.0cxx_compiler_version12python3.11.____cpython.yaml

@@ -25,15 +25,15 @@ docker_image:
 github_actions_labels:
 - cirun-openstack-cpu-xlarge
 libtorch:
-- '2.4'
+- '2.5'
 pin_run_as_build:
   python:
     min_pin: x.x
     max_pin: x.x
 python:
 - 3.11.* *_cpython
 pytorch:
-- '2.4'
+- '2.5'
 target_platform:
 - linux-64
 zip_keys:

.ci_support/linux_64_c_compiler_version12cuda_compilercuda-nvcccuda_compiler_version12.0cxx_compiler_version12python3.12.____cpython.yaml

@@ -25,15 +25,15 @@ docker_image:
 github_actions_labels:
 - cirun-openstack-cpu-xlarge
 libtorch:
-- '2.4'
+- '2.5'
 pin_run_as_build:
   python:
     min_pin: x.x
     max_pin: x.x
 python:
 - 3.12.* *_cpython
 pytorch:
-- '2.4'
+- '2.5'
 target_platform:
 - linux-64
 zip_keys:

.ci_support/linux_64_c_compiler_version12cuda_compilercuda-nvcccuda_compiler_version12.0cxx_compiler_version12python3.13.____cp313.yaml

@@ -0,0 +1,45 @@
+c_compiler:
+- gcc
+c_compiler_version:
+- '12'
+c_stdlib:
+- sysroot
+c_stdlib_version:
+- '2.17'
+cdt_name:
+- conda
+channel_sources:
+- conda-forge
+channel_targets:
+- conda-forge main
+cuda_compiler:
+- cuda-nvcc
+cuda_compiler_version:
+- '12.0'
+cxx_compiler:
+- gxx
+cxx_compiler_version:
+- '12'
+docker_image:
+- quay.io/condaforge/linux-anvil-cos7-x86_64
+github_actions_labels:
+- cirun-openstack-cpu-xlarge
+libtorch:
+- '2.5'
+pin_run_as_build:
+  python:
+    min_pin: x.x
+    max_pin: x.x
+python:
+- 3.13.* *_cp313
+pytorch:
+- '2.5'
+target_platform:
+- linux-64
+zip_keys:
+- - c_compiler_version
+  - cxx_compiler_version
+  - c_stdlib_version
+  - cuda_compiler
+  - cuda_compiler_version
+  - docker_image

.ci_support/linux_64_c_compiler_version12cuda_compilercuda-nvcccuda_compiler_version12.0cxx_compiler_version12python3.9.____cpython.yaml

@@ -25,15 +25,15 @@ docker_image:
 github_actions_labels:
 - cirun-openstack-cpu-xlarge
 libtorch:
-- '2.4'
+- '2.5'
 pin_run_as_build:
   python:
     min_pin: x.x
     max_pin: x.x
 python:
 - 3.9.* *_cpython
 pytorch:
-- '2.4'
+- '2.5'
 target_platform:
 - linux-64
 zip_keys:

.ci_support/migrations/pytorch25.yaml

@@ -0,0 +1,10 @@
+__migrator:
+  build_number: 1
+  commit_message: Rebuild for pytorch 2.5
+  kind: version
+  migration_number: 1
+libtorch:
+- '2.5'
+migrator_ts: 1730666768.682698
+pytorch:
+- '2.5'

.github/workflows/conda-build.yml

@@ -36,6 +36,11 @@ jobs:
             os: ubuntu
             runs_on: ['cirun-openstack-cpu-xlarge--${{ github.run_id }}-linux_64_c_compiler_version11cuda_c_h58c8c5aa26', 'linux', 'x64', 'self-hosted']
             DOCKER_IMAGE: quay.io/condaforge/linux-anvil-cuda:11.8
+          - CONFIG: linux_64_c_compiler_version11cuda_compilernvcccuda_compiler_version11.8cxx_compiler_version11python3.13.____cp313
+            UPLOAD_PACKAGES: True
+            os: ubuntu
+            runs_on: ['cirun-openstack-cpu-xlarge--${{ github.run_id }}-linux_64_c_compiler_version11cuda_c_hba688eb4eb', 'linux', 'x64', 'self-hosted']
+            DOCKER_IMAGE: quay.io/condaforge/linux-anvil-cuda:11.8
           - CONFIG: linux_64_c_compiler_version11cuda_compilernvcccuda_compiler_version11.8cxx_compiler_version11python3.9.____cpython
             UPLOAD_PACKAGES: True
             os: ubuntu
@@ -56,6 +61,11 @@ jobs:
             os: ubuntu
             runs_on: ['cirun-openstack-cpu-xlarge--${{ github.run_id }}-linux_64_c_compiler_version12cuda_c_h11ed5249c8', 'linux', 'x64', 'self-hosted']
             DOCKER_IMAGE: quay.io/condaforge/linux-anvil-cos7-x86_64
+          - CONFIG: linux_64_c_compiler_version12cuda_compilercuda-nvcccuda_compiler_version12.0cxx_compiler_version12python3.13.____cp313
+            UPLOAD_PACKAGES: True
+            os: ubuntu
+            runs_on: ['cirun-openstack-cpu-xlarge--${{ github.run_id }}-linux_64_c_compiler_version12cuda_c_hee2a70c1f0', 'linux', 'x64', 'self-hosted']
+            DOCKER_IMAGE: quay.io/condaforge/linux-anvil-cos7-x86_64
           - CONFIG: linux_64_c_compiler_version12cuda_compilercuda-nvcccuda_compiler_version12.0cxx_compiler_version12python3.9.____cpython
             UPLOAD_PACKAGES: True
             os: ubuntu

recipe/meta.yaml

@@ -1,28 +1,27 @@
-{% set version = "2.6.3" %}
+{% set version = "2.7.0.post2" %}
 
 package:
   name: flash-attn-split
   version: {{ version }}
 
 source:
   - url: https://pypi.org/packages/source/f/flash-attn/flash_attn-{{ version }}.tar.gz
-    sha256: 5bfae9500ad8e7d2937ebccb4906f3bc464d1bf66eedd0e4adabd520811c7b52
+    sha256: 62244de20dabad9a42d0636f6b2ea4c051d33df179a0b3bea4352502ebca1466
   # Overwrite with a simpler build script that doesn't try to revend pre-compiled binaries
   - path: pyproject.toml
   - path: setup.py
 
 build:
-  number: 2
+  number: 0
   script: {{ PYTHON }} -m pip install . -vvv --no-deps --no-build-isolation
   script_env:
     # Limit MAX_JOBS in order to prevent runners from crashing
     - MAX_JOBS=4
     - TORCH_CUDA_ARCH_LIST=8.0;8.6;8.9;9.0+PTX
   skip: true  # [cuda_compiler_version in (undefined, "None")]
   skip: true  # [not linux]
-  skip: true  # [py==313]  # Skip until pytorch dependency on setuptools is fixed
   # debugging skips below
-  # skip: true  # [py!=312]
+  # skip: true  # [py!=313]
   # skip: true  # [cuda_compiler_version != "11.8"]
 
 requirements: