remove CUDA

FluxML · Dec 1, 2022 · a0d90b8 · a0d90b8
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diff --git a/docs/Project.toml b/docs/Project.toml
@@ -1,7 +1,6 @@
 [deps]
 BSON = "fbb218c0-5317-5bc6-957e-2ee96dd4b1f0"
 ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
-CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
 Functors = "d9f16b24-f501-4c13-a1f2-28368ffc5196"

diff --git a/docs/make.jl b/docs/make.jl
@@ -1,10 +1,10 @@
-using Documenter, Flux, NNlib, Functors, MLUtils, BSON, Optimisers, OneHotArrays, Zygote, ChainRulesCore, Plots, MLDatasets, Statistics, DataFrames, CUDA
+using Documenter, Flux, NNlib, Functors, MLUtils, BSON, Optimisers, OneHotArrays, Zygote, ChainRulesCore, Plots, MLDatasets, Statistics, DataFrames
 
 
 DocMeta.setdocmeta!(Flux, :DocTestSetup, :(using Flux); recursive = true)
 
 makedocs(
-    modules = [Flux, NNlib, Functors, MLUtils, BSON, Optimisers, OneHotArrays, Zygote, ChainRulesCore, Base, Plots, MLDatasets, Statistics, DataFrames, CUDA],
+    modules = [Flux, NNlib, Functors, MLUtils, BSON, Optimisers, OneHotArrays, Zygote, ChainRulesCore, Base, Plots, MLDatasets, Statistics, DataFrames],
     doctest = false,
     sitename = "Flux",
     # strict = [:cross_references,],
@@ -18,13 +18,13 @@ makedocs(
             "Fitting a Line" => "models/overview.md",
             "Gradients and Layers" => "models/basics.md",
             "Training" => "training/training.md",
-            # "Regularisation" => "models/regularisation.md",  # consolidated in #2114
+            "Regularisation" => "models/regularisation.md",  # consolidated in #2114
             "Recurrence" => "models/recurrence.md",
             "GPU Support" => "gpu.md",
             "Saving & Loading" => "saving.md",
             "Performance Tips" => "performance.md",
         ],
-        "Ecosystem" => "ecosystem.md",  # This is a links page...
+        "Ecosystem" => "ecosystem.md",
         "Reference" => [
         # This essentially collects docstrings, with a bit of introduction.
             "Built-in Layers" => "models/layers.md",

diff --git a/docs/src/gpu.md b/docs/src/gpu.md
@@ -183,28 +183,3 @@ $ export CUDA_VISIBLE_DEVICES='0,1'
 
 More information for conditional use of GPUs in CUDA.jl can be found in its [documentation](https://cuda.juliagpu.org/stable/installation/conditional/#Conditional-use), and information about the specific use of the variable is described in the [Nvidia CUDA blog post](https://developer.nvidia.com/blog/cuda-pro-tip-control-gpu-visibility-cuda_visible_devices/).
 
-
-## CUDA Reference
-
-Arrays and iterators:
-
-```@docs
-CUDA.cu
-CUDA.CuIterator
-```
-
-Device settings:
-
-```@docs
-CUDA.allowscalar
-CUDA.functional
-CUDA.device
-CUDA.device!
-```
-
-For benchmarking:
-
-```@docs
-CUDA.@time
-CUDA.@sync
-```