cudnn: 8.3.0 -> 8.3.2 #164338
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,77 +1,118 @@ | ||
| # The following version combinations are supported: | ||
| # * cuDNN 7.4.2, cudatoolkit 10.0 | ||
| # * cuDNN 7.6.5, cudatoolkit 10.0-10.1 | ||
| # * cuDNN 8.1.1, cudatoolkit 10.2-11.2 | ||
| # * cuDNN 8.3.2, cudatoolkit 10.2-11.5 | ||
| { callPackage | ||
| , cudatoolkit_10 | ||
| , cudatoolkit_10_0 | ||
| , cudatoolkit_10_1 | ||
| , cudatoolkit_10_2 | ||
| , cudatoolkit_11 | ||
| , cudatoolkit_11_0 | ||
| , cudatoolkit_11_1 | ||
| , cudatoolkit_11_2 | ||
| , cudatoolkit_11_3 | ||
| , cudatoolkit_11_4 | ||
| , cudatoolkit_11_5 | ||
| , fetchurl | ||
| , lib | ||
| }: | ||
|
|
||
| let | ||
| generic = args: callPackage (import ./generic.nix (removeAttrs args [ "cudatoolkit" ])) { | ||
| inherit (args) cudatoolkit; | ||
| }; | ||
| urlPrefix = "https://developer.download.nvidia.com/compute/redist/cudnn"; | ||
| in | ||
| rec { | ||
| # cuDNN 7.x | ||
| # Still used by libtensorflow-bin. It should be upgraded at some point. | ||
| cudnn_7_4_cudatoolkit_10_0 = generic rec { | ||
| version = "7.4.2"; | ||
| cudatoolkit = cudatoolkit_10_0; | ||
| # See https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn_742/cudnn-support-matrix/index.html#cudnn-cuda-hardware-versions__table-cudnn-cuda-hardware-versions. | ||
| minCudaVersion = "9.2.88"; | ||
| maxCudaVersion = "10.0.99999"; | ||
| mkSrc = _: fetchurl { | ||
| url = "${urlPrefix}/v${version}/cudnn-10.0-linux-x64-v7.4.2.24.tgz"; | ||
| hash = "sha256-Lt/IagK1DRfojEeJVaMy5qHoF05+U6NFi06lH68C2qM="; | ||
| }; | ||
| }; | ||
| # The only overlap between supported and packaged CUDA versions is 10.0. | ||
|
|
||
| cudnn_7_6_cudatoolkit_10_0 = generic rec { | ||
| version = "7.6.5"; | ||
| cudatoolkit = cudatoolkit_10_0; | ||
| # See https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn_765/cudnn-support-matrix/index.html#cudnn-versions-763-765. | ||
| minCudaVersion = "9.2.148"; | ||
| maxCudaVersion = "10.1.243"; | ||
| mkSrc = cudatoolkit: fetchurl { | ||
| url = "${urlPrefix}/v${version}/cudnn-${cudatoolkit.majorVersion}-linux-x64-v7.6.5.32.tgz"; | ||
| hash = { | ||
| "10.0" = "sha256-KDVeOV8LK5OsLIO2E2CzW6bNA3fkTni+GXtrYbS0kro="; | ||
| "10.1" = "sha256-fq7IA5osMKsLx1jTA1iHZ2k972v0myJIWiwAvy4TbLM="; | ||
| }."${cudatoolkit.majorVersion}"; | ||
| }; | ||
| }; | ||
| cudnn_7_6_cudatoolkit_10_1 = cudnn_7_6_cudatoolkit_10_0.override { cudatoolkit = cudatoolkit_10_1; }; | ||
|
|
||
| # cuDNN 8.x | ||
| # cuDNN 8.1 is still used by tensorflow at the time of writing (2022-02-17). | ||
| # See https://github.com/NixOS/nixpkgs/pull/158218 for more info. | ||
| cudnn_8_1_cudatoolkit_10_2 = generic rec { | ||
| version = "8.1.1"; | ||
| cudatoolkit = cudatoolkit_10_2; | ||
| # See https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-811/support-matrix/index.html#cudnn-versions-810-811. | ||
| minCudaVersion = "10.2.00000"; | ||
| maxCudaVersion = "11.2.99999"; | ||
| mkSrc = cudatoolkit: | ||
| let v = if lib.versions.majorMinor cudatoolkit.version == "10.2" then "10.2" else "11.2"; in | ||
| fetchurl { | ||
| url = "${urlPrefix}/v${version}/cudnn-${v}-linux-x64-v8.1.1.33.tgz"; | ||
| hash = { | ||
| "10.2" = "sha256-Kkp7mabpv6aQ6xm7QeSVU/KnpJGls6v8rpAOFmxbbr0="; | ||
| "11.2" = "sha256-mKh4TpKGLyABjSDCgbMNSgzZUfk2lPZDPM9K6cUCumo="; | ||
| }."${v}"; | ||
| }; | ||
| }; | ||
| cudnn_8_1_cudatoolkit_11_0 = cudnn_8_1_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_0; }; | ||
| cudnn_8_1_cudatoolkit_11_1 = cudnn_8_1_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_1; }; | ||
| cudnn_8_1_cudatoolkit_11_2 = cudnn_8_1_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_2; }; | ||
|
|
||
| cudnn_8_1_cudatoolkit_10 = cudnn_8_1_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_10; }; | ||
| cudnn_8_1_cudatoolkit_11 = cudnn_8_1_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11; }; | ||
|
|
||
| # cuDNN 8.3 is necessary for the latest jaxlib, esp. jaxlib-bin. See | ||
| # https://github.com/google/jax/discussions/9455 for more info. | ||
| cudnn_8_3_cudatoolkit_10_2 = | ||
| generic | ||
| rec { | ||
| version = "8.3.2"; | ||
| cudatoolkit = cudatoolkit_10_2; | ||
| # See https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-832/support-matrix/index.html#cudnn-cuda-hardware-versions. | ||
| minCudaVersion = "10.2.00000"; | ||
| maxCudaVersion = "11.5.99999"; | ||
| mkSrc = cudatoolkit: | ||
| let v = if lib.versions.majorMinor cudatoolkit.version == "10.2" then "10.2" else "11.5"; in | ||
| fetchurl { | ||
| # Starting at version 8.3.1 there's a new directory layout including | ||
| # a subdirectory `local_installers`. | ||
| url = "https://developer.download.nvidia.com/compute/redist/cudnn/v${version}/local_installers/${v}/cudnn-linux-x86_64-8.3.2.44_cuda${v}-archive.tar.xz"; | ||
| hash = { | ||
| "10.2" = "sha256-1vVu+cqM+PketzIQumw9ykm6REbBZhv6/lXB7EC2aaw="; | ||
| "11.5" = "sha256-VQCVPAjF5dHd3P2iNPnvvdzb5DpTsm3AqCxyP6FwxFc="; | ||
| }."${v}"; | ||
| }; | ||
| } | ||
| ; | ||
| cudnn_8_3_cudatoolkit_11_0 = cudnn_8_3_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_0; }; | ||
| cudnn_8_3_cudatoolkit_11_1 = cudnn_8_3_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_1; }; | ||
| cudnn_8_3_cudatoolkit_11_2 = cudnn_8_3_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_2; }; | ||
| cudnn_8_3_cudatoolkit_11_3 = cudnn_8_3_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_3; }; | ||
| cudnn_8_3_cudatoolkit_11_4 = cudnn_8_3_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_4; }; | ||
| cudnn_8_3_cudatoolkit_11_5 = cudnn_8_3_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_5; }; | ||
|
|
||
| cudnn_8_3_cudatoolkit_10 = cudnn_8_3_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_10; }; | ||
| cudnn_8_3_cudatoolkit_11 = cudnn_8_3_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11; }; | ||
| } |
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If it's too old, why do we keep it as a default?
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Just because no one's gotten around to updating it yet. But that would be great for a follow-up PR!