From 30de20478653e3e8c52003a7118855e6ef3af241 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Dani=C3=ABl=20de=20Kok?= Date: Wed, 5 Nov 2025 12:35:03 +0000 Subject: [PATCH] Remove Torch 2.7 and framework dependencies --- flake.nix | 1 - overlay.nix | 26 - .../cuda-packages/_cuda/db/bootstrap/nvcc.nix | 13 - .../_cuda/fixups/nsight_systems.nix | 2 +- pkgs/cuda-packages/cuda-samples/extension.nix | 1 - pkgs/cuda-packages/cuda/extension.nix | 1 - .../cuda/manifests/feature_11.8.0.json | 1540 ------ .../cuda/manifests/redistrib_11.8.0.json | 1074 ---- pkgs/cuda-packages/cudnn/releases.nix | 98 - .../generic/manifests/feature/manifest.nix | 2 +- pkgs/cuda-packages/packages/nccl.nix | 8 +- pkgs/cuda-packages/tensorrt/releases.nix | 48 - pkgs/magma/generic.nix | 20 +- pkgs/python-modules/torch/archs.nix | 67 - pkgs/python-modules/torch/binary/generic.nix | 4 - .../source/2_7/0001-patch-xpu-ops-CMake.patch | 37 - .../torch/source/2_7/default.nix | 766 --- .../source/2_7/fix-cmake-cuda-toolkit.patch | 51 - .../torch/source/2_7/mkl-rpath.patch | 17 - .../torch/source/2_7/prefetch.sh | 52 - .../source/2_7/pthreadpool-disable-gcd.diff | 45 - .../torch/source/2_7/pytorch-pr-108847.patch | 31 - .../torch/source/2_7/triton-2.4-compat.patch | 81 - .../torch/source/2_8/default.nix | 7 +- .../torch/source/2_9/default.nix | 7 +- pkgs/python-modules/triton-xpu/default.nix | 22 +- pkgs/rocm-packages/overrides.nix | 11 +- pkgs/rocm-packages/rocm-6.2.4-metadata.json | 4803 ----------------- pkgs/xpu-packages/cutlass-sycl.nix | 4 - .../intel-deep-learning-2025.0.2.json | 819 --- pkgs/xpu-packages/onednn-xpu.nix | 4 - 31 files changed, 15 insertions(+), 9647 deletions(-) delete mode 100644 pkgs/cuda-packages/cuda/manifests/feature_11.8.0.json delete mode 100644 pkgs/cuda-packages/cuda/manifests/redistrib_11.8.0.json delete mode 100644 pkgs/python-modules/torch/source/2_7/0001-patch-xpu-ops-CMake.patch delete mode 100644 pkgs/python-modules/torch/source/2_7/default.nix delete mode 100644 pkgs/python-modules/torch/source/2_7/fix-cmake-cuda-toolkit.patch delete mode 100644 pkgs/python-modules/torch/source/2_7/mkl-rpath.patch delete mode 100755 pkgs/python-modules/torch/source/2_7/prefetch.sh delete mode 100644 pkgs/python-modules/torch/source/2_7/pthreadpool-disable-gcd.diff delete mode 100644 pkgs/python-modules/torch/source/2_7/pytorch-pr-108847.patch delete mode 100644 pkgs/python-modules/torch/source/2_7/triton-2.4-compat.patch delete mode 100644 pkgs/rocm-packages/rocm-6.2.4-metadata.json delete mode 100644 pkgs/xpu-packages/intel-deep-learning-2025.0.2.json diff --git a/flake.nix b/flake.nix index a56791b..5a5a9f0 100644 --- a/flake.nix +++ b/flake.nix @@ -115,7 +115,6 @@ inherit torch torch-bin - torch_2_7 torch_2_8 torch_2_9 ; diff --git a/overlay.nix b/overlay.nix index 7b79ea9..3f89d85 100644 --- a/overlay.nix +++ b/overlay.nix @@ -14,9 +14,6 @@ rec { # Top-level fix-point used in `cudaPackages`' internals _cuda = import ./pkgs/cuda-packages/_cuda { inherit (final) lib; }; - cudaPackages_11_8 = final.callPackage ./pkgs/cuda-packages { cudaMajorMinorVersion = "11.8"; }; - cudaPackages_11 = final.lib.recurseIntoAttrs cudaPackages_11_8; - cudaPackages_12_4 = final.callPackage ./pkgs/cuda-packages { cudaMajorMinorVersion = "12.4"; }; cudaPackages_12_5 = final.callPackage ./pkgs/cuda-packages { cudaMajorMinorVersion = "12.5"; }; cudaPackages_12_6 = final.callPackage ./pkgs/cuda-packages { cudaMajorMinorVersion = "12.6"; }; @@ -58,18 +55,6 @@ rec { rocmPackages = final.rocmPackages_6_3; - # Remove when we remove ROCm 6.2. - suitesparse_4_4 = prev.suitesparse_4_4.overrideAttrs ( - _: prevAttrs: { - postInstall = prevAttrs.postInstall + '' - ln -s $out/lib/libsuitesparse.so $out/lib/libsuitesparse.so.4 - # All dynamic libraries are just symplinks to the main library. - ln -s $out/lib/libsuitesparse.so $out/lib/libcholmod.so.3 - ln -s $out/lib/libsuitesparse.so $out/lib/libsuitesparseconfig.so.4 - ''; - } - ); - pythonPackagesExtensions = prev.pythonPackagesExtensions ++ [ ( python-self: python-super: with python-self; { @@ -224,10 +209,6 @@ rec { torch = torch_2_9; - torch_2_7 = callPackage ./pkgs/python-modules/torch/source/2_7 { - xpuPackages = final.xpuPackages_2025_0; - }; - torch_2_8 = callPackage ./pkgs/python-modules/torch/source/2_8 { xpuPackages = final.xpuPackages_2025_1; }; @@ -240,11 +221,6 @@ rec { triton-rocm = callPackage ./pkgs/python-modules/triton-rocm { }; - triton-xpu_2_7 = callPackage ./pkgs/python-modules/triton-xpu { - torchVersion = "2.7"; - xpuPackages = final.xpuPackages_2025_0; - }; - triton-xpu_2_8 = callPackage ./pkgs/python-modules/triton-xpu { torchVersion = "2.8"; xpuPackages = final.xpuPackages_2025_1; @@ -267,7 +243,6 @@ rec { flattenVersion = prev.lib.strings.replaceStrings [ "." ] [ "_" ]; readPackageMetadata = path: (builtins.fromJSON (builtins.readFile path)); versions = [ - "6.2.4" "6.3.4" "6.4.2" "7.0.1" @@ -288,7 +263,6 @@ rec { flattenVersion = prev.lib.strings.replaceStrings [ "." ] [ "_" ]; readPackageMetadata = path: (builtins.fromJSON (builtins.readFile path)); xpuVersions = [ - "2025.0.2" "2025.1.3" "2025.2.1" ]; diff --git a/pkgs/cuda-packages/_cuda/db/bootstrap/nvcc.nix b/pkgs/cuda-packages/_cuda/db/bootstrap/nvcc.nix index f333b8c..b429519 100644 --- a/pkgs/cuda-packages/_cuda/db/bootstrap/nvcc.nix +++ b/pkgs/cuda-packages/_cuda/db/bootstrap/nvcc.nix @@ -28,19 +28,6 @@ ``` */ nvccCompatibilities = { - # Added support for Clang 14 - # https://docs.nvidia.com/cuda/archive/11.8.0/cuda-installation-guide-linux/index.html#system-requirements - "11.8" = { - clang = { - maxMajorVersion = "14"; - minMajorVersion = "7"; - }; - gcc = { - maxMajorVersion = "11"; - minMajorVersion = "6"; - }; - }; - # Maximum Clang version is 17 # Minimum GCC version is still 6, but all versions prior to GCC 7.3 are deprecated. # Maximum GCC version is 13.2 diff --git a/pkgs/cuda-packages/_cuda/fixups/nsight_systems.nix b/pkgs/cuda-packages/_cuda/fixups/nsight_systems.nix index a6e346e..9983f88 100644 --- a/pkgs/cuda-packages/_cuda/fixups/nsight_systems.nix +++ b/pkgs/cuda-packages/_cuda/fixups/nsight_systems.nix @@ -114,7 +114,7 @@ in xorg.libXtst ] # NOTE(@connorbaker): Seems to be required only for aarch64-linux. - ++ lib.optionals (stdenv.hostPlatform.isAarch64 && cudaAtLeast "11.8") [ + ++ lib.optionals stdenv.hostPlatform.isAarch64 [ gst_all_1.gst-plugins-bad ]; diff --git a/pkgs/cuda-packages/cuda-samples/extension.nix b/pkgs/cuda-packages/cuda-samples/extension.nix index c89683a..fc6f8fd 100644 --- a/pkgs/cuda-packages/cuda-samples/extension.nix +++ b/pkgs/cuda-packages/cuda-samples/extension.nix @@ -5,7 +5,6 @@ }: let cudaVersionToHash = { - "11.8" = "sha256-7+1P8+wqTKUGbCUBXGMDO9PkxYr2+PLDx9W2hXtXbuc="; "12.0" = "sha256-Lj2kbdVFrJo5xPYPMiE4BS7Z8gpU5JLKXVJhZABUe/g="; "12.1" = "sha256-xE0luOMq46zVsIEWwK4xjLs7NorcTIi9gbfZPVjIlqo="; "12.2" = "sha256-pOy0qfDjA/Nr0T9PNKKefK/63gQnJV2MQsN2g3S2yng="; diff --git a/pkgs/cuda-packages/cuda/extension.nix b/pkgs/cuda-packages/cuda/extension.nix index 48bedad..8c3becf 100644 --- a/pkgs/cuda-packages/cuda/extension.nix +++ b/pkgs/cuda-packages/cuda/extension.nix @@ -7,7 +7,6 @@ let # https://developer.download.nvidia.com/compute/cuda/redist/ # Maps a cuda version to the specific version of the manifest. cudaVersionMap = { - "11.8" = "11.8.0"; "12.4" = "12.4.1"; "12.5" = "12.5.1"; "12.6" = "12.6.3"; diff --git a/pkgs/cuda-packages/cuda/manifests/feature_11.8.0.json b/pkgs/cuda-packages/cuda/manifests/feature_11.8.0.json deleted file mode 100644 index d2e9958..0000000 --- a/pkgs/cuda-packages/cuda/manifests/feature_11.8.0.json +++ /dev/null @@ -1,1540 +0,0 @@ -{ - "cuda_cccl": { - "linux-aarch64": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "linux-ppc64le": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "linux-sbsa": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "linux-x86_64": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "windows-x86_64": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - } - }, - "cuda_compat": { - "linux-aarch64": { - "outputs": { - "bin": false, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - } - }, - "cuda_cudart": { - "linux-aarch64": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": true, - "sample": false, - "static": true - } - }, - "linux-ppc64le": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": true, - "sample": false, - "static": true - } - }, - "linux-sbsa": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": true, - "sample": false, - "static": true - } - }, - "linux-x86_64": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": true, - "sample": false, - "static": true - } - }, - "windows-x86_64": { - "outputs": { - "bin": true, - "dev": true, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - } - }, - "cuda_cuobjdump": { - "linux-aarch64": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "linux-ppc64le": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "linux-sbsa": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "linux-x86_64": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "windows-x86_64": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - } - }, - "cuda_cupti": { - "linux-aarch64": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": true, - "sample": true, - "static": false - } - }, - "linux-ppc64le": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": true, - "sample": true, - "static": false - } - }, - "linux-sbsa": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": true, - "sample": true, - "static": false - } - }, - "linux-x86_64": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": true, - "sample": true, - "static": true - } - }, - "windows-x86_64": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": false, - "sample": true, - "static": false - } - } - }, - "cuda_cuxxfilt": { - "linux-aarch64": { - "outputs": { - "bin": true, - "dev": true, - "doc": false, - "lib": false, - "sample": false, - "static": true - } - }, - "linux-ppc64le": { - "outputs": { - "bin": true, - "dev": true, - "doc": false, - "lib": false, - "sample": false, - "static": true - } - }, - "linux-sbsa": { - "outputs": { - "bin": true, - "dev": true, - "doc": false, - "lib": false, - "sample": false, - "static": true - } - }, - "linux-x86_64": { - "outputs": { - "bin": true, - "dev": true, - "doc": false, - "lib": false, - "sample": false, - "static": true - } - }, - "windows-x86_64": { - "outputs": { - "bin": true, - "dev": true, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - } - }, - "cuda_demo_suite": { - "linux-x86_64": { - "outputs": { - "bin": false, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "windows-x86_64": { - "outputs": { - "bin": false, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - } - }, - "cuda_documentation": { - "linux-aarch64": { - "outputs": { - "bin": false, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "linux-ppc64le": { - "outputs": { - "bin": false, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "linux-sbsa": { - "outputs": { - "bin": false, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "linux-x86_64": { - "outputs": { - "bin": false, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "windows-x86_64": { - "outputs": { - "bin": false, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - } - }, - "cuda_gdb": { - "linux-aarch64": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "linux-ppc64le": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "linux-sbsa": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "linux-x86_64": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - } - }, - "cuda_memcheck": { - "linux-ppc64le": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "linux-x86_64": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "windows-x86_64": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - } - }, - "cuda_nsight": { - "linux-ppc64le": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "linux-x86_64": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - } - }, - "cuda_nvcc": { - "linux-aarch64": { - "outputs": { - "bin": true, - "dev": true, - "doc": false, - "lib": false, - "sample": false, - "static": true - } - }, - "linux-ppc64le": { - "outputs": { - "bin": true, - "dev": true, - "doc": false, - "lib": false, - "sample": false, - "static": true - } - }, - "linux-sbsa": { - "outputs": { - "bin": true, - "dev": true, - "doc": false, - "lib": false, - "sample": false, - "static": true - } - }, - "linux-x86_64": { - "outputs": { - "bin": true, - "dev": true, - "doc": false, - "lib": false, - "sample": false, - "static": true - } - }, - "windows-x86_64": { - "outputs": { - "bin": true, - "dev": true, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - } - }, - "cuda_nvdisasm": { - "linux-aarch64": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "linux-ppc64le": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "linux-sbsa": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "linux-x86_64": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "windows-x86_64": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - } - }, - "cuda_nvml_dev": { - "linux-aarch64": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": true, - "sample": false, - "static": false - } - }, - "linux-ppc64le": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": true, - "sample": false, - "static": false - } - }, - "linux-sbsa": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": true, - "sample": false, - "static": false - } - }, - "linux-x86_64": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": true, - "sample": false, - "static": false - } - }, - "windows-x86_64": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - } - }, - "cuda_nvprof": { - "linux-ppc64le": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": true, - "sample": false, - "static": false - } - }, - "linux-x86_64": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": true, - "sample": false, - "static": false - } - }, - "windows-x86_64": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - } - }, - "cuda_nvprune": { - "linux-aarch64": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "linux-ppc64le": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "linux-sbsa": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "linux-x86_64": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - }, - "windows-x86_64": { - "outputs": { - "bin": true, - "dev": false, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - } - }, - "cuda_nvrtc": { - "linux-aarch64": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": true, - "sample": false, - "static": true - } - }, - "linux-ppc64le": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": true, - "sample": false, - "static": true - } - }, - "linux-sbsa": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": true, - "sample": false, - "static": true - } - }, - "linux-x86_64": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": true, - "sample": false, - "static": true - } - }, - "windows-x86_64": { - "outputs": { - "bin": true, - "dev": true, - "doc": false, - "lib": false, - "sample": false, - "static": false - } - } - }, - "cuda_nvtx": { - "linux-aarch64": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": true, - "sample": false, - "static": false - } - }, - "linux-ppc64le": { - "outputs": { - "bin": false, - "dev": true, - "doc": false, - "lib": true, - 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"sha256": "7970d053e76366e2e68aec2e61cd4eb39a749664345721742244b77f8ccbb151", - "md5": "6c15f64e3c1881f344e9d6aaa4a37a69", - "size": "67760" - } - }, - "visual_studio_integration": { - "name": "CUDA Visual Studio Integration", - "license": "CUDA Toolkit", - "version": "11.8.86", - "windows-x86_64": { - "relative_path": "visual_studio_integration/windows-x86_64/visual_studio_integration-windows-x86_64-11.8.86-archive.zip", - "sha256": "67c847a57cc8664b2180ecbdd06b399b50cfcb871c9d04bad3ce1510485aee36", - "md5": "08c19db58ba62ebc15af19f52b63a71c", - "size": "517053" - } - } -} diff --git a/pkgs/cuda-packages/cudnn/releases.nix b/pkgs/cuda-packages/cudnn/releases.nix index 10c2067..b6f6b49 100644 --- a/pkgs/cuda-packages/cudnn/releases.nix +++ b/pkgs/cuda-packages/cudnn/releases.nix @@ -40,27 +40,6 @@ linux-ppc64le = [ ]; # server-grade arm linux-sbsa = [ - { - version = "8.6.0.163"; - minCudaVersion = "11.0"; - maxCudaVersion = "11.8"; - url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-8.6.0.163_cuda11-archive.tar.xz"; - hash = "sha256-oCAieNPL1POtw/eBa/9gcWIcsEKwkDaYtHesrIkorAY="; - } - { - version = "8.7.0.84"; - minCudaVersion = "11.0"; - maxCudaVersion = "11.8"; - url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-8.7.0.84_cuda11-archive.tar.xz"; - hash = "sha256-z5Z/eNv2wHUkPMg6oYdZ43DbN1SqFbEqChTov2ejqdQ="; - } - { - version = "8.8.1.3"; - minCudaVersion = "11.0"; - maxCudaVersion = "11.8"; - url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-8.8.1.3_cuda11-archive.tar.xz"; - hash = "sha256-OzWq+aQkmIbZONmWSYyFoZzem3RldoXyJy7GVT6GM1k="; - } { version = "8.8.1.3"; minCudaVersion = "12.0"; @@ -68,13 +47,6 @@ url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-8.8.1.3_cuda12-archive.tar.xz"; hash = "sha256-njl3qhudBuuGC1gqyJM2MGdaAkMCnCWb/sW7VpmGfSA="; } - { - version = "8.9.7.29"; - minCudaVersion = "11.0"; - maxCudaVersion = "11.8"; - url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-8.9.7.29_cuda11-archive.tar.xz"; - hash = "sha256-kcN8+0WPVBQZ6YUQ8TqvWXXAIyxhPhi3djhUkAdO6hc="; - } { version = "8.9.7.29"; minCudaVersion = "12.0"; @@ -89,13 +61,6 @@ url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-9.3.0.75_cuda12-archive.tar.xz"; hash = "sha256-Eibdm5iciYY4VSlj0ACjz7uKCgy5uvjLCear137X1jk="; } - { - version = "9.3.0.75"; - minCudaVersion = "11.8"; - maxCudaVersion = "11.8"; - url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-9.3.0.75_cuda11-archive.tar.xz"; - hash = "sha256-BLVvv3vuFcJOM5wrqU0Xqoi54zTQzRnnWFPcVFJ5S/c="; - } { version = "9.7.1.26"; minCudaVersion = "12.0"; @@ -103,13 +68,6 @@ url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-9.7.1.26_cuda12-archive.tar.xz"; hash = "sha256-koJFUKlesnWwbJCZhBDhLOBRQOBQjwkFZExlTJ7Xp2Q="; } - { - version = "9.7.1.26"; - minCudaVersion = "11.8"; - maxCudaVersion = "11.8"; - url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-9.7.1.26_cuda11-archive.tar.xz"; - hash = "sha256-JcpY/ylUAaj37bzrJlerSDxO5KgPmpL40Mvl8VquHN4="; - } { version = "9.8.0.87"; minCudaVersion = "12.0"; @@ -117,13 +75,6 @@ url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-9.8.0.87_cuda12-archive.tar.xz"; hash = "sha256-IvYvR08MuzW+9UCtsdhB2mPJzT33azxOQwEPQ2ss2Fw="; } - { - version = "9.8.0.87"; - minCudaVersion = "11.8"; - maxCudaVersion = "11.8"; - url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-9.8.0.87_cuda11-archive.tar.xz"; - hash = "sha256-j/EXcV+zMjAy0bSJiAEXVWrYteV6kGAUPwy3I4TbdxA="; - } { version = "9.11.0.98"; minCudaVersion = "12.0"; @@ -142,27 +93,6 @@ ]; # x86_64 linux-x86_64 = [ - { - version = "8.6.0.163"; - minCudaVersion = "11.0"; - maxCudaVersion = "11.8"; - url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.6.0.163_cuda11-archive.tar.xz"; - hash = "sha256-u8OW30cpTGV+3AnGAGdNYIyxv8gLgtz0VHBgwhcRFZ4="; - } - { - version = "8.7.0.84"; - minCudaVersion = "11.0"; - maxCudaVersion = "11.8"; - url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.7.0.84_cuda11-archive.tar.xz"; - hash = "sha256-l2xMunIzyXrnQAavq1Fyl2MAukD1slCiH4z3H1nJ920="; - } - { - version = "8.8.1.3"; - minCudaVersion = "11.0"; - maxCudaVersion = "11.8"; - url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.8.1.3_cuda11-archive.tar.xz"; - hash = "sha256-r3WEyuDMVSS1kT7wjCm6YVQRPGDrCjegWQqRtRWoqPk="; - } { version = "8.8.1.3"; minCudaVersion = "12.0"; @@ -170,13 +100,6 @@ url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.8.1.3_cuda12-archive.tar.xz"; hash = "sha256-edd6dpx+cXWrx7XC7VxJQUjAYYqGQThyLIh/lcYjd3w="; } - { - version = "8.9.7.29"; - minCudaVersion = "11.0"; - maxCudaVersion = "11.8"; - url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.9.7.29_cuda11-archive.tar.xz"; - hash = "sha256-o+JQkCjOzaARfOWg9CEGNG6C6G05D0u5R1r8l2x3QC4="; - } { version = "8.9.7.29"; minCudaVersion = "12.0"; @@ -191,13 +114,6 @@ url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-9.3.0.75_cuda12-archive.tar.xz"; hash = "sha256-PW7xCqBtyTOaR34rBX4IX/hQC73ueeQsfhNlXJ7/LCY="; } - { - version = "9.3.0.75"; - minCudaVersion = "11.8"; - maxCudaVersion = "11.8"; - url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-9.3.0.75_cuda11-archive.tar.xz"; - hash = "sha256-Bp2ghM02jzn7gw1MTpMYAwZPtl52b0z33y2ko0aiup8"; - } { version = "9.7.1.26"; minCudaVersion = "12.0"; @@ -205,13 +121,6 @@ url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-9.7.1.26_cuda12-archive.tar.xz"; hash = "sha256-EJpeXGvN9Dlub2Pz+GLtLc8W7pPuA03HBKGxG98AwLE="; } - { - version = "9.7.1.26"; - minCudaVersion = "11.8"; - maxCudaVersion = "11.8"; - url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-9.7.1.26_cuda11-archive.tar.xz"; - hash = "sha256-c6rfLRtyGjS9e5CQjQKQYlfyrdvSRs+NtY4h1o2FXqI="; - } { version = "9.8.0.87"; minCudaVersion = "12.0"; @@ -219,13 +128,6 @@ url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-9.8.0.87_cuda12-archive.tar.xz"; hash = "sha256-MhubM7sSh0BNk9VnLTUvFv6rxLIgrGrguG5LJ/JX3PQ="; } - { - version = "9.8.0.87"; - minCudaVersion = "11.8"; - maxCudaVersion = "11.8"; - url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-9.8.0.87_cuda11-archive.tar.xz"; - hash = "sha256-z03674MR2YfWQKMi9mjNUkCsPlMCq+lhfdmRtbJTJ1g="; - } { version = "9.11.0.98"; minCudaVersion = "12.0"; diff --git a/pkgs/cuda-packages/modules/generic/manifests/feature/manifest.nix b/pkgs/cuda-packages/modules/generic/manifests/feature/manifest.nix index 2c874b5..d84f346 100644 --- a/pkgs/cuda-packages/modules/generic/manifests/feature/manifest.nix +++ b/pkgs/cuda-packages/modules/generic/manifests/feature/manifest.nix @@ -5,6 +5,6 @@ let in options.mkOption { description = "Feature manifest is an attribute set which includes a mapping from package name to release"; - example = trivial.importJSON ../../../../cuda/manifests/feature_11.8.0.json; + example = trivial.importJSON ../../../../cuda/manifests/feature_12.4.1.json; type = types.attrsOf Release.type; } diff --git a/pkgs/cuda-packages/packages/nccl.nix b/pkgs/cuda-packages/packages/nccl.nix index 47cbdaf..503d65a 100644 --- a/pkgs/cuda-packages/packages/nccl.nix +++ b/pkgs/cuda-packages/packages/nccl.nix @@ -22,12 +22,8 @@ let ; # versions 2.26+ with CUDA 11.x error with # fatal error: cuda/atomic: No such file or directory - version = if cudaAtLeast "12.0" then "2.28.3-1" else "2.25.1-1"; - hash = - if cudaAtLeast "12.0" then - "sha256-zVZKHYXxo5DdAKHJ1TnFYr+iVS26JmHN7gGpnG5Ujjk=" - else - "sha256-3snh0xdL9I5BYqdbqdl+noizJoI38mZRVOJChgEE1I8="; + version = "2.28.3-1"; + hash = "sha256-zVZKHYXxo5DdAKHJ1TnFYr+iVS26JmHN7gGpnG5Ujjk="; in backendStdenv.mkDerivation (finalAttrs: { pname = "nccl"; diff --git a/pkgs/cuda-packages/tensorrt/releases.nix b/pkgs/cuda-packages/tensorrt/releases.nix index 565837d..17cf4fd 100644 --- a/pkgs/cuda-packages/tensorrt/releases.nix +++ b/pkgs/cuda-packages/tensorrt/releases.nix @@ -10,14 +10,6 @@ linux-ppc64le = [ ]; # server-grade arm linux-sbsa = [ - { - version = "8.5.3.1"; - minCudaVersion = "11.8"; - maxCudaVersion = "11.8"; - cudnnVersion = "8.6"; - filename = "TensorRT-8.5.3.1.Ubuntu-20.04.aarch64-gnu.cuda-11.8.cudnn8.6.tar.gz"; - hash = "sha256-GW//mX0brvN/waHo9Wd07xerOEz3X/H/HAW2ZehYtTA="; - } { version = "8.6.1.6"; minCudaVersion = "12.0"; @@ -45,22 +37,6 @@ ]; # x86_64 linux-x86_64 = [ - { - version = "8.5.3.1"; - minCudaVersion = "11.0"; - maxCudaVersion = "11.8"; - cudnnVersion = "8.6"; - filename = "TensorRT-8.5.3.1.Linux.x86_64-gnu.cuda-11.8.cudnn8.6.tar.gz"; - hash = "sha256-BNeuOYvPTUAfGxI0DVsNrX6Z/FAB28+SE0ptuGu7YDY="; - } - { - version = "8.6.1.6"; - minCudaVersion = "11.0"; - maxCudaVersion = "11.8"; - cudnnVersion = "8.9"; - filename = "TensorRT-8.6.1.6.Linux.x86_64-gnu.cuda-11.8.tar.gz"; - hash = "sha256-Fb/mBT1F/uxF7McSOpEGB2sLQ/oENfJC2J3KB3gzd1k="; - } { version = "8.6.1.6"; minCudaVersion = "12.0"; @@ -69,14 +45,6 @@ filename = "TensorRT-8.6.1.6.Linux.x86_64-gnu.cuda-12.0.tar.gz"; hash = "sha256-D4FXpfxTKZQ7M4uJNZE3M1CvqQyoEjnNrddYDNHrolQ="; } - { - version = "10.3.0.26"; - minCudaVersion = "11.0"; - maxCudaVersion = "11.8"; - cudnnVersion = "8.9"; - filename = "TensorRT-10.3.0.26.Linux.x86_64-gnu.cuda-11.8.tar.gz"; - hash = "sha256-1O9TwlUP0eLqTozMs53EefmjriiaHjxb4A4GIuN9jvc="; - } { version = "10.3.0.26"; minCudaVersion = "12.0"; @@ -85,14 +53,6 @@ filename = "TensorRT-10.3.0.26.Linux.x86_64-gnu.cuda-12.5.tar.gz"; hash = "sha256-rf8c1avl2HATgGFyNR5Y/QJOW/D8YdSe9LhM047ZkIE="; } - { - version = "10.8.0.43"; - minCudaVersion = "11.0"; - maxCudaVersion = "11.8"; - cudnnVersion = "8.9"; - filename = "TensorRT-10.8.0.43.Linux.x86_64-gnu.cuda-11.8.tar.gz"; - hash = "sha256-ZhdJ9ZUanOSQ3TbKNEIvS+fHLQ+TXZ+SdrUL4UiER+k="; - } { version = "10.8.0.43"; minCudaVersion = "12.0"; @@ -101,14 +61,6 @@ filename = "TensorRT-10.8.0.43.Linux.x86_64-gnu.cuda-12.8.tar.gz"; hash = "sha256-V31tivU4FTQUuYZ8ZmtPZYUvwusefA6jogbl+vvH1J4="; } - { - version = "10.9.0.34"; - minCudaVersion = "11.0"; - maxCudaVersion = "11.8"; - cudnnVersion = "8.9"; - filename = "TensorRT-10.9.0.34.Linux.x86_64-gnu.cuda-11.8.tar.gz"; - hash = "sha256-nQtdgeOIxRA8RsL3ZvQHeBxA4dbJvyWEoFvmSxPaBLA="; - } { version = "10.9.0.34"; minCudaVersion = "12.0"; diff --git a/pkgs/magma/generic.nix b/pkgs/magma/generic.nix index d5e839b..08f2785 100644 --- a/pkgs/magma/generic.nix +++ b/pkgs/magma/generic.nix @@ -43,12 +43,7 @@ let ; inherit (magmaRelease) version hash supportedGpuTargets; - # Per https://icl.utk.edu/magma/downloads, support for CUDA 12 wasn't added until 2.7.1. - # If we're building a version prior to that, use the latest release of the 11.x series. - effectiveCudaPackages = - if strings.versionOlder version "2.7.1" then cudaPackages_11 else cudaPackages; - - inherit (effectiveCudaPackages) cudaAtLeast flags cudaOlder; + inherit (cudaPackages) cudaAtLeast flags cudaOlder; # NOTE: The lists.subtractLists function is perhaps a bit unintuitive. It subtracts the elements # of the first list *from* the second list. That means: @@ -160,7 +155,7 @@ stdenv.mkDerivation { gfortran ] ++ lists.optionals cudaSupport [ - effectiveCudaPackages.cuda_nvcc + cudaPackages.cuda_nvcc ]; buildInputs = [ @@ -171,19 +166,14 @@ stdenv.mkDerivation { (getLib gfortran.cc) # libgfortran.so ] ++ lists.optionals cudaSupport ( - with effectiveCudaPackages; + with cudaPackages; [ cuda_cccl # cuda_cudart # cuda_runtime.h + cuda_profiler_api # libcublas # cublas_v2.h libcusparse # cusparse.h ] - ++ lists.optionals (cudaOlder "11.8") [ - cuda_nvprof # - ] - ++ lists.optionals (cudaAtLeast "11.8") [ - cuda_profiler_api # - ] ) ++ lists.optionals rocmSupport [ rocmPackages.clr @@ -264,7 +254,7 @@ stdenv.mkDerivation { passthru = { inherit cudaSupport rocmSupport gpuTargets; - cudaPackages = effectiveCudaPackages; + cudaPackages = cudaPackages; }; meta = with lib; { diff --git a/pkgs/python-modules/torch/archs.nix b/pkgs/python-modules/torch/archs.nix index c4779db..3dd9344 100644 --- a/pkgs/python-modules/torch/archs.nix +++ b/pkgs/python-modules/torch/archs.nix @@ -1,71 +1,4 @@ { - "2.7" = { - capsPerCudaVersion = { - "12.8" = [ - "7.5" - "8.0" - "8.6" - "9.0" - "10.0" - "12.0" - ]; - "12.6" = [ - "5.0" - "6.0" - "7.0" - "7.5" - "8.0" - "8.6" - "9.0" - ]; - "12.4" = [ - "5.0" - "6.0" - "7.0" - "7.5" - "8.0" - "8.6" - "9.0" - ]; - "11.8" = [ - "3.7" - "5.0" - "6.0" - "7.0" - "7.5" - "8.0" - "8.6" - "9.0" - ]; - - # Not in upstream yet, so use same capabilities as 12.8. - "12.9" = [ - "7.5" - "8.0" - "8.6" - "9.0" - "10.0" - "12.0" - ]; - }; - - # https://github.com/pytorch/pytorch/blob/134179474539648ba7dee1317959529fbd0e7f89/.ci/docker/manywheel/build.sh#L100 - supportedTorchRocmArchs = [ - "gfx900" - "gfx906" - "gfx908" - "gfx90a" - "gfx942" - "gfx1030" - "gfx1100" - "gfx1101" - "gfx1102" - "gfx1200" - "gfx1201" - ]; - - }; - "2.8" = { # https://github.com/pytorch/pytorch/blob/release/2.8/.ci/manywheel/build_cuda.sh capsPerCudaVersion = { diff --git a/pkgs/python-modules/torch/binary/generic.nix b/pkgs/python-modules/torch/binary/generic.nix index 1c4df1b..dc91e57 100644 --- a/pkgs/python-modules/torch/binary/generic.nix +++ b/pkgs/python-modules/torch/binary/generic.nix @@ -70,7 +70,6 @@ let inherit (archs) supportedTorchRocmArchs; aotritonVersions = with rocmPackages; { - "2.7" = aotriton_0_9; "2.8" = aotriton_0_10; "2.9" = aotriton_0_11; }; @@ -281,9 +280,6 @@ buildPythonPackage { # dependencies. rm -rf $out/${python.sitePackages}/torch/lib/{libamd*,libaotriton*,libdrm*,libelf*,libgomp*,libhip*,libhsa*,libMIOpen*,libnuma*,librccl*,libroc*,libtinfo*}.so rm -rf $out/${python.sitePackages}/torch/lib/{rocblas,hipblaslt,hipsparselt} - '' - + lib.optionalString (xpuSupport && (lib.versions.majorMinor version) == "2.7") '' - patchelf --replace-needed libpti_view.so.0.10 libpti_view.so $out/${python.sitePackages}/torch/lib/libtorch_cpu.so ''; autoPatchelfIgnoreMissingDeps = lib.optionals stdenv.hostPlatform.isLinux [ diff --git a/pkgs/python-modules/torch/source/2_7/0001-patch-xpu-ops-CMake.patch b/pkgs/python-modules/torch/source/2_7/0001-patch-xpu-ops-CMake.patch deleted file mode 100644 index b677015..0000000 --- a/pkgs/python-modules/torch/source/2_7/0001-patch-xpu-ops-CMake.patch +++ /dev/null @@ -1,37 +0,0 @@ -From 356fd17a8dee9788657e306a96392c0e0b11c3e6 Mon Sep 17 00:00:00 2001 -From: "Wang, Yi A" -Date: Tue, 26 Aug 2025 08:20:01 +0000 -Subject: [PATCH] patch xpu ops CMake - -Signed-off-by: Wang, Yi A ---- - cmake/Modules/FindSYCL.cmake | 6 +++++- - 1 file changed, 5 insertions(+), 1 deletion(-) - -diff --git a/cmake/Modules/FindSYCL.cmake b/cmake/Modules/FindSYCL.cmake -index 9a5cd844..b4d46e4b 100644 ---- a/cmake/Modules/FindSYCL.cmake -+++ b/cmake/Modules/FindSYCL.cmake -@@ -34,7 +34,8 @@ - # SYCL_ADD_EXECUTABLE - # - # SYCL_ADD_LIBRARY -- -+set(SYCL_EXTRA_INCLUDE_DIRS $ENV{SYCL_EXTRA_INCLUDE_DIRS}) -+string(REPLACE " " ";" SYCL_EXTRA_INCLUDE_DIRS "${SYCL_EXTRA_INCLUDE_DIRS}") - macro(SYCL_FIND_HELPER_FILE _name _extension) - set(_full_name "${_name}.${_extension}") - # CMAKE_CURRENT_LIST_FILE contains the full path to the file currently being -@@ -216,6 +217,9 @@ macro(SYCL_WRAP_SRCS sycl_target generated_files) - set(generated_extension ${CMAKE_${SYCL_C_OR_CXX}_OUTPUT_EXTENSION}) - - set(SYCL_include_dirs "${SYCL_INCLUDE_DIR}") -+ if(DEFINED SYCL_EXTRA_INCLUDE_DIRS) -+ list(APPEND SYCL_include_dirs ${SYCL_EXTRA_INCLUDE_DIRS}) -+ endif() - list(APPEND SYCL_include_dirs "$") - - set(SYCL_compile_definitions "$") --- -2.43.7 - diff --git a/pkgs/python-modules/torch/source/2_7/default.nix b/pkgs/python-modules/torch/source/2_7/default.nix deleted file mode 100644 index 52c0495..0000000 --- a/pkgs/python-modules/torch/source/2_7/default.nix +++ /dev/null @@ -1,766 +0,0 @@ -{ - stdenv, - stdenvAdapters, - gcc11Stdenv, - lib, - fetchFromGitHub, - buildPythonPackage, - python, - config, - cudaSupport ? config.cudaSupport, - cudaPackages, - autoAddDriverRunpath, - effectiveMagma ? - if cudaSupport then - magma-cuda-static - else if rocmSupport then - magma-hip - else - magma, - effectiveStdenv ? - if cudaSupport then - # XNNPACK fails on gcc > 11 on AArch64: https://github.com/pytorch/pytorch/issues/141083 - if stdenv.isAarch64 then - stdenvAdapters.useLibsFrom stdenv gcc11Stdenv - else - cudaPackages.backendStdenv - else - stdenv, - magma, - magma-hip, - magma-cuda-static, - # Use the system NCCL as long as we're targeting CUDA on a supported platform. - useSystemNccl ? (cudaSupport && !cudaPackages.nccl.meta.unsupported || rocmSupport), - MPISupport ? false, - mpi, - buildDocs ? false, - cxx11Abi ? true, - - # tests.cudaAvailable: - callPackage, - - # Native build inputs - cmake, - symlinkJoin, - which, - pybind11, - removeReferencesTo, - - # Build inputs - apple-sdk_15, - numactl, - - # dependencies - astunparse, - binutils, - expecttest, - filelock, - fsspec, - hypothesis, - jinja2, - networkx, - packaging, - psutil, - pyyaml, - requests, - setuptools, - sympy, - types-dataclasses, - typing-extensions, - # ROCm build and `torch.compile` requires `triton` - tritonSupport ? (!stdenv.hostPlatform.isDarwin), - triton, - - # TODO: 1. callPackage needs to learn to distinguish between the task - # of "asking for an attribute from the parent scope" and - # the task of "exposing a formal parameter in .override". - # TODO: 2. We should probably abandon attributes such as `torchWithCuda` (etc.) - # as they routinely end up consuming the wrong arguments\ - # (dependencies without cuda support). - # Instead we should rely on overlays and nixpkgsFun. - # (@SomeoneSerge) - _tritonEffective ? - if cudaSupport then - triton-cuda - else if rocmSupport then - python.pkgs.triton-rocm - else if xpuSupport then - python.pkgs.triton-xpu_2_7 - else - triton, - triton-cuda, - - # Disable MKLDNN on aarch64-darwin, it negatively impacts performance, - # this is also what official pytorch build does - mklDnnSupport ? !(stdenv.hostPlatform.isDarwin && stdenv.hostPlatform.isAarch64), - - # virtual pkg that consistently instantiates blas across nixpkgs - # See https://github.com/NixOS/nixpkgs/pull/83888 - blas, - - # ninja (https://ninja-build.org) must be available to run C++ extensions tests, - ninja, - - # dependencies for torch.utils.tensorboard - pillow, - six, - tensorboard, - protobuf, - - # ROCm dependencies - rocmSupport ? config.rocmSupport, - rocmPackages, - xpuSupport ? (config.xpuSupport or false), - xpuPackages, - gpuTargets ? [ ], -}: - -let - inherit (lib) - attrsets - lists - strings - trivial - ; - inherit (cudaPackages) cudnn nccl; - cudaFlags = cudaPackages.flags; - - triton = throw "python3Packages.torch: use _tritonEffective instead of triton to avoid divergence"; - - setBool = v: if v then "1" else "0"; - - archs = (import ../../archs.nix)."2.7"; - - supportedTorchCudaCapabilities = - let - inherit (archs) capsPerCudaVersion; - real = capsPerCudaVersion."${lib.versions.majorMinor cudaPackages.cudaMajorMinorVersion}"; - ptx = lists.map (x: "${x}+PTX") real; - in - real ++ ptx; - - inherit (archs) supportedTorchRocmArchs; - - # NOTE: The lists.subtractLists function is perhaps a bit unintuitive. It subtracts the elements - # of the first list *from* the second list. That means: - # lists.subtractLists a b = b - a - - # For CUDA - supportedCudaCapabilities = lists.intersectLists cudaFlags.cudaCapabilities supportedTorchCudaCapabilities; - unsupportedCudaCapabilities = lists.subtractLists supportedCudaCapabilities cudaFlags.cudaCapabilities; - - # Use trivial.warnIf to print a warning if any unsupported GPU targets are specified. - gpuArchWarner = - supported: unsupported: - trivial.throwIf (supported == [ ]) ( - "No supported GPU targets specified. Requested GPU targets: " - + strings.concatStringsSep ", " unsupported - ) supported; - - # Create the gpuTargetString. - gpuTargetString = strings.concatStringsSep ";" ( - if gpuTargets != [ ] then - # If gpuTargets is specified, it always takes priority. - gpuTargets - else if cudaSupport then - gpuArchWarner supportedCudaCapabilities unsupportedCudaCapabilities - else if rocmSupport then - supportedTorchRocmArchs - else - throw "No GPU targets specified" - ); - - rocmtoolkit_joined = symlinkJoin { - name = "rocm-merged"; - - paths = with rocmPackages; [ - aotriton_0_9 - clr - comgr - hipblas - hipblas-common-devel - hipblaslt - hipfft - hipify-clang - hiprand - hipsolver - hipsparse - hsa-rocr - miopen-hip - rccl - rocblas - rocm-core - rocm-device-libs - rocm-hip-runtime - rocminfo - rocrand - rocsolver - rocsparse - roctracer - ]; - - postBuild = '' - # Fix `setuptools` not being found - rm -rf $out/nix-support - - # Variables that we want to pass through to downstream derivations. - mkdir -p $out/nix-support - echo 'export ROCM_PATH="${placeholder "out"}"' >> $out/nix-support/setup-hook - echo 'export ROCM_SOURCE_DIR="${placeholder "out"}"' >> $out/nix-support/setup-hook - echo 'export CMAKE_CXX_FLAGS="-I${placeholder "out"}/include -I${placeholder "out"}/include/rocblas"' >> $out/nix-support/setup-hook - ''; - }; - - brokenConditions = attrsets.filterAttrs (_: cond: cond) { - "CUDA and ROCm are mutually exclusive" = cudaSupport && rocmSupport; - "CUDA is not targeting Linux" = cudaSupport && !stdenv.hostPlatform.isLinux; - "Unsupported CUDA version" = - cudaSupport - && !(builtins.elem cudaPackages.cudaMajorVersion [ - "11" - "12" - ]); - "MPI cudatoolkit does not match cudaPackages.cudatoolkit" = - MPISupport && cudaSupport && (mpi.cudatoolkit != cudaPackages.cudatoolkit); - # This used to be a deep package set comparison between cudaPackages and - # effectiveMagma.cudaPackages, making torch too strict in cudaPackages. - # In particular, this triggered warnings from cuda's `aliases.nix` - "Magma cudaPackages does not match cudaPackages" = - cudaSupport - && (effectiveMagma.cudaPackages.cudaMajorMinorVersion != cudaPackages.cudaMajorMinorVersion); - #"Rocm support is currently broken because `rocmPackages.hipblaslt` is unpackaged. (2024-06-09)" = - # rocmSupport; - }; - - torchXpuOpsSrc = - if xpuSupport then - fetchFromGitHub { - owner = "intel"; - repo = "torch-xpu-ops"; - rev = "3ee2bd2f13e1ed17a685986ff667a58bed5f2aa5"; - hash = "sha256-PzD0twcZexQDDlThnzJm6kp9HeZpxRxozC25UswlLso="; - } - else - null; -in -buildPythonPackage rec { - pname = "torch"; - # Don't forget to update torch-bin to the same version. - version = "2.7.1"; - pyproject = true; - - stdenv = effectiveStdenv; - - outputs = [ - "out" # output standard python package - "dev" # output libtorch headers - "lib" # output libtorch libraries - "cxxdev" # propagated deps for the cmake consumers of torch - ]; - cudaPropagateToOutput = "cxxdev"; - rocmPropagateToOutput = "cxxdev"; - - src = fetchFromGitHub { - owner = "pytorch"; - repo = "pytorch"; - tag = "v${version}"; - fetchSubmodules = true; - hash = "sha256-wVzYx8YYoL8rVYb9DwF6ai16UzPvSO4WhNvddh09RXM="; - }; - - patches = [ - ./mkl-rpath.patch - ] - ++ lib.optionals tritonSupport [ - # Manual backport of [inductor] Fix usage of launch_enter_hook/launch_exit_hook - # to fix AttributeError: type object 'CompiledKernel' has no attribute 'launch_enter_hook' - # https://github.com/pytorch/pytorch/pull/152457 - ./triton-2.4-compat.patch - ] - ++ lib.optionals cudaSupport [ ./fix-cmake-cuda-toolkit.patch ] - ++ lib.optionals (stdenv.hostPlatform.isDarwin && stdenv.hostPlatform.isx86_64) [ - # pthreadpool added support for Grand Central Dispatch in April - # 2020. However, this relies on functionality (DISPATCH_APPLY_AUTO) - # that is available starting with macOS 10.13. However, our current - # base is 10.12. Until we upgrade, we can fall back on the older - # pthread support. - ./pthreadpool-disable-gcd.diff - ] - ++ lib.optionals stdenv.hostPlatform.isLinux [ - # Propagate CUPTI to Kineto by overriding the search path with environment variables. - # https://github.com/pytorch/pytorch/pull/108847 - ./pytorch-pr-108847.patch - ]; - - postUnpack = lib.optionalString xpuSupport '' - cp -r --no-preserve=mode ${torchXpuOpsSrc} $sourceRoot/third_party/torch-xpu-ops - patch -d $sourceRoot/third_party/torch-xpu-ops -p1 < ${./0001-patch-xpu-ops-CMake.patch} - ''; - - postPatch = '' - substituteInPlace cmake/public/cuda.cmake \ - --replace-fail \ - 'message(FATAL_ERROR "Found two conflicting CUDA' \ - 'message(WARNING "Found two conflicting CUDA' \ - --replace-warn \ - "set(CUDAToolkit_ROOT" \ - "# Upstream: set(CUDAToolkit_ROOT" - substituteInPlace third_party/gloo/cmake/Cuda.cmake \ - --replace-warn "find_package(CUDAToolkit 7.0" "find_package(CUDAToolkit" - - # annotations (3.7), print_function (3.0), with_statement (2.6) are all supported - sed -i -e "/from __future__ import/d" **.py - substituteInPlace third_party/NNPACK/CMakeLists.txt \ - --replace-fail "PYTHONPATH=" 'PYTHONPATH=$ENV{PYTHONPATH}:' - # flag from cmakeFlags doesn't work, not clear why - # setting it at the top of NNPACK's own CMakeLists does - sed -i '2s;^;set(PYTHON_SIX_SOURCE_DIR ${six.src})\n;' third_party/NNPACK/CMakeLists.txt - - # Ensure that torch profiler unwind uses addr2line from nix - substituteInPlace torch/csrc/profiler/unwind/unwind.cpp \ - --replace-fail 'addr2line_binary_ = "addr2line"' 'addr2line_binary_ = "${lib.getExe' binutils "addr2line"}"' - - # NCCL repo seems to be cloned unconditionally when third_party/nccl - # does not exist. - substituteInPlace tools/build_pytorch_libs.py \ - --replace-fail "if not os.path.exists(nccl_basedir):" "if False:" - '' - + lib.optionalString rocmSupport '' - # https://github.com/facebookincubator/gloo/pull/297 - substituteInPlace third_party/gloo/cmake/Hipify.cmake \ - --replace-fail "\''${HIPIFY_COMMAND}" "python \''${HIPIFY_COMMAND}" - - # Replace hard-coded rocm paths - substituteInPlace caffe2/CMakeLists.txt \ - --replace-fail "/opt/rocm" "${rocmtoolkit_joined}" \ - --replace-fail "hcc/include" "hip/include" \ - --replace-fail "rocblas/include" "include/rocblas" \ - --replace-fail "hipsparse/include" "include/hipsparse" - - # Doesn't pick up the environment variable? - #substituteInPlace third_party/kineto/libkineto/CMakeLists.txt \ - # --replace-fail "\''$ENV{ROCM_SOURCE_DIR}" "${rocmtoolkit_joined}" \ - # --replace-fail "/opt/rocm" "${rocmtoolkit_joined}" - - # Strangely, this is never set in cmake - substituteInPlace cmake/public/LoadHIP.cmake \ - --replace-fail "set(ROCM_PATH \$ENV{ROCM_PATH})" \ - "set(ROCM_PATH \$ENV{ROCM_PATH})''\nset(ROCM_VERSION ${lib.concatStrings (lib.intersperse "0" (lib.splitVersion rocmPackages.clr.version))})" - '' - # Detection of NCCL version doesn't work particularly well when using the static binary. - + lib.optionalString cudaSupport '' - substituteInPlace cmake/Modules/FindNCCL.cmake \ - --replace-fail \ - 'message(FATAL_ERROR "Found NCCL header version and library version' \ - 'message(WARNING "Found NCCL header version and library version' - '' - # Remove PyTorch's FindCUDAToolkit.cmake and use CMake's default. - # NOTE: Parts of pytorch rely on unmaintained FindCUDA.cmake with custom patches to support e.g. - # newer architectures (sm_90a). We do want to delete vendored patches, but have to keep them - # until https://github.com/pytorch/pytorch/issues/76082 is addressed - + lib.optionalString cudaSupport '' - rm cmake/Modules/FindCUDAToolkit.cmake - '' - + lib.optionalString xpuSupport '' - # replace oneapi DIR - substituteInPlace cmake/Modules/FindMKL.cmake \ - --replace-fail 'SET(DEFAULT_INTEL_ONEAPI_DIR "/opt/intel/oneapi")' 'SET(DEFAULT_INTEL_ONEAPI_DIR ${xpuPackages.oneapi-torch-dev}/oneapi)' - # replace mkldnn build for xpu - sed -i '/ExternalProject_Add(xpu_mkldnn_proj/,/^ *)/s/^/#/' cmake/Modules/FindMKLDNN.cmake - substituteInPlace cmake/Modules/FindMKLDNN.cmake \ - --replace-fail 'ExternalProject_Get_Property(xpu_mkldnn_proj SOURCE_DIR BINARY_DIR)' '# ExternalProject_Get_Property(xpu_mkldnn_proj SOURCE_DIR BINARY_DIR)' \ - --replace-fail "set(XPU_MKLDNN_LIBRARIES \''${BINARY_DIR}/src/\''${DNNL_LIB_NAME})" "set(XPU_MKLDNN_LIBRARIES ${xpuPackages.onednn-xpu}/lib/libdnnl.a)" \ - --replace-fail "set(XPU_MKLDNN_INCLUDE \''${SOURCE_DIR}/include \''${BINARY_DIR}/include)" "set(XPU_MKLDNN_INCLUDE ${xpuPackages.onednn-xpu}/include)" - # comment torch-xpu-ops git clone block in pytorch/caffe2/CMakeLists.txt - sed -i '/set(TORCH_XPU_OPS_REPO_URL/,/^ endif()/s/^/#/' caffe2/CMakeLists.txt - sed -i '/execute_process(/,/^ endif()/s/^/#/' caffe2/CMakeLists.txt - '' - # error: no member named 'aligned_alloc' in the global namespace; did you mean simply 'aligned_alloc' - # This lib overrided aligned_alloc hence the error message. Tltr: his function is linkable but not in header. - + - lib.optionalString - (stdenv.hostPlatform.isDarwin && lib.versionOlder stdenv.hostPlatform.darwinSdkVersion "11.0") - '' - substituteInPlace third_party/pocketfft/pocketfft_hdronly.h --replace-fail '#if (__cplusplus >= 201703L) && (!defined(__MINGW32__)) && (!defined(_MSC_VER)) - inline void *aligned_alloc(size_t align, size_t size)' '#if 0 - inline void *aligned_alloc(size_t align, size_t size)' - ''; - - # NOTE(@connorbaker): Though we do not disable Gloo or MPI when building with CUDA support, caution should be taken - # when using the different backends. Gloo's GPU support isn't great, and MPI and CUDA can't be used at the same time - # without extreme care to ensure they don't lock each other out of shared resources. - # For more, see https://github.com/open-mpi/ompi/issues/7733#issuecomment-629806195. - preConfigure = - lib.optionalString cudaSupport '' - export TORCH_CUDA_ARCH_LIST="${gpuTargetString}" - export CUPTI_INCLUDE_DIR=${lib.getDev cudaPackages.cuda_cupti}/include - export CUPTI_LIBRARY_DIR=${lib.getLib cudaPackages.cuda_cupti}/lib - '' - + lib.optionalString (cudaSupport && cudaPackages ? cudnn) '' - export CUDNN_INCLUDE_DIR=${lib.getLib cudnn}/include - export CUDNN_LIB_DIR=${cudnn.lib}/lib - '' - + lib.optionalString rocmSupport '' - export PYTORCH_ROCM_ARCH="${gpuTargetString}" - python tools/amd_build/build_amd.py - ''; - - # Use pytorch's custom configurations - dontUseCmakeConfigure = true; - - # causes possible redefinition of _FORTIFY_SOURCE - hardeningDisable = [ "fortify3" ]; - - BUILD_NAMEDTENSOR = setBool true; - BUILD_DOCS = setBool buildDocs; - - # We only do an imports check, so do not build tests either. - BUILD_TEST = setBool false; - - # ninja hook doesn't automatically turn on ninja - # because pytorch setup.py is responsible for this - CMAKE_GENERATOR = "Ninja"; - - # Whether to use C++11 ABI (or earlier). - _GLIBCXX_USE_CXX11_ABI = setBool cxx11Abi; - - # Unlike MKL, oneDNN (née MKLDNN) is FOSS, so we enable support for - # it by default. PyTorch currently uses its own vendored version - # of oneDNN through Intel iDeep. - USE_MKLDNN = setBool mklDnnSupport; - USE_MKLDNN_CBLAS = setBool mklDnnSupport; - - # Avoid using pybind11 from git submodule - # Also avoids pytorch exporting the headers of pybind11 - USE_SYSTEM_PYBIND11 = true; - - cmakeFlags = [ - # (lib.cmakeBool "CMAKE_FIND_DEBUG_MODE" true) - (lib.cmakeFeature "CUDAToolkit_VERSION" cudaPackages.cudaMajorMinorVersion) - ] - ++ lib.optionals cudaSupport [ - # Unbreaks version discovery in enable_language(CUDA) when wrapping nvcc with ccache - # Cf. https://gitlab.kitware.com/cmake/cmake/-/issues/26363 - (lib.cmakeFeature "CMAKE_CUDA_COMPILER_TOOLKIT_VERSION" cudaPackages.cudaMajorMinorVersion) - ]; - - preBuild = '' - export MAX_JOBS=$NIX_BUILD_CORES - ${python.pythonOnBuildForHost.interpreter} setup.py build --cmake-only - ${cmake}/bin/cmake build - ''; - - preFixup = '' - function join_by { local IFS="$1"; shift; echo "$*"; } - function strip2 { - IFS=':' - read -ra RP <<< $(patchelf --print-rpath $1) - IFS=' ' - RP_NEW=$(join_by : ''${RP[@]:2}) - patchelf --set-rpath \$ORIGIN:''${RP_NEW} "$1" - } - for f in $(find ''${out} -name 'libcaffe2*.so') - do - strip2 $f - done - ''; - - # Override the (weirdly) wrong version set by default. See - # https://github.com/NixOS/nixpkgs/pull/52437#issuecomment-449718038 - # https://github.com/pytorch/pytorch/blob/v1.0.0/setup.py#L267 - PYTORCH_BUILD_VERSION = version; - PYTORCH_BUILD_NUMBER = 0; - - # In-tree builds of NCCL are not supported. - # Use NCCL when cudaSupport is enabled and nccl is available. - USE_NCCL = setBool useSystemNccl; - USE_SYSTEM_NCCL = USE_NCCL; - USE_STATIC_NCCL = USE_NCCL; - - # Set the correct Python library path, broken since - # https://github.com/pytorch/pytorch/commit/3d617333e - PYTHON_LIB_REL_PATH = "${placeholder "out"}/${python.sitePackages}"; - - # Suppress a weird warning in mkl-dnn, part of ideep in pytorch - # (upstream seems to have fixed this in the wrong place?) - # https://github.com/intel/mkl-dnn/commit/8134d346cdb7fe1695a2aa55771071d455fae0bc - # https://github.com/pytorch/pytorch/issues/22346 - # - # Also of interest: pytorch ignores CXXFLAGS uses CFLAGS for both C and C++: - # https://github.com/pytorch/pytorch/blob/v1.11.0/setup.py#L17 - env = { - # Builds faster without this and we don't have enough inputs that cmd length is an issue - NIX_CC_USE_RESPONSE_FILE = 0; - - NIX_CFLAGS_COMPILE = toString ( - (lib.optionals (blas.implementation == "mkl") [ "-Wno-error=array-bounds" ] ++ [ "-Wno-error" ]) - ); - } - // lib.optionalAttrs rocmSupport { - AOTRITON_INSTALLED_PREFIX = rocmPackages.aotriton_0_9; - } - // lib.optionalAttrs stdenv.hostPlatform.isDarwin { - USE_MPS = 1; - } - // lib.optionalAttrs xpuSupport { - MKLROOT = xpuPackages.oneapi-torch-dev; - SYCL_ROOT = xpuPackages.oneapi-torch-dev; - }; - - nativeBuildInputs = [ - cmake - ninja - pybind11 - removeReferencesTo - which - ] - ++ lib.optionals cudaSupport ( - with cudaPackages; - [ - autoAddDriverRunpath - cuda_nvcc - ] - ) - ++ lib.optionals rocmSupport [ - rocmtoolkit_joined - rocmPackages.setupRocmHook - ] - ++ lib.optionals xpuSupport ( - with xpuPackages; - [ - ocloc - oneapi-torch-dev - ] - ); - - buildInputs = [ - blas - blas.provider - ] - ++ lib.optionals cudaSupport ( - with cudaPackages; - [ - cuda_cccl # - cuda_cudart # cuda_runtime.h and libraries - cuda_cupti # For kineto - cuda_nvcc # crt/host_config.h; even though we include this in nativeBuildInputs, it's needed here too - cuda_nvml_dev # - cuda_nvrtc - cuda_nvtx # -llibNVToolsExt - libcublas - libcufile - libcufft - libcurand - libcusolver - libcusparse - ] - ++ lists.optionals (cudaPackages ? cudnn) [ cudnn ] - ++ lists.optionals useSystemNccl [ - # Some platforms do not support NCCL (i.e., Jetson) - nccl # Provides nccl.h AND a static copy of NCCL! - ] - ++ lists.optionals (strings.versionOlder cudaMajorMinorVersion "11.8") [ - cuda_nvprof # - ] - ++ lists.optionals (strings.versionAtLeast cudaMajorMinorVersion "11.8") [ - cuda_profiler_api # - ] - ) - ++ lib.optionals rocmSupport ( - with rocmPackages; - [ - composablekernel-devel - hipcub-devel - openmp - rocmtoolkit_joined - rocprim-devel - rocthrust-devel - ] - ) - ++ lib.optionals xpuSupport ( - with xpuPackages; - [ - oneapi-torch-dev - onednn-xpu - ] - ) - ++ lib.optionals (cudaSupport || rocmSupport) [ effectiveMagma ] - ++ lib.optionals stdenv.hostPlatform.isLinux [ numactl ] - ++ lib.optionals stdenv.hostPlatform.isDarwin [ - apple-sdk_15 - ] - ++ lib.optionals tritonSupport [ _tritonEffective ] - ++ lib.optionals MPISupport [ mpi ]; - - pythonRelaxDeps = [ - "sympy" - ]; - dependencies = [ - astunparse - expecttest - filelock - fsspec - hypothesis - jinja2 - networkx - ninja - packaging - psutil - pyyaml - requests - sympy - types-dataclasses - typing-extensions - - # the following are required for tensorboard support - pillow - six - tensorboard - protobuf - - # torch/csrc requires `pybind11` at runtime - pybind11 - ] - ++ lib.optionals (lib.versionAtLeast python.version "3.12") [ setuptools ] - ++ lib.optionals tritonSupport [ _tritonEffective ]; - - propagatedCxxBuildInputs = - [ ] ++ lib.optionals MPISupport [ mpi ] ++ lib.optionals rocmSupport [ rocmtoolkit_joined ]; - - # Tests take a long time and may be flaky, so just sanity-check imports - doCheck = false; - - pythonImportsCheck = [ "torch" ]; - - nativeCheckInputs = [ - hypothesis - ninja - psutil - ]; - - checkPhase = - with lib.versions; - with lib.strings; - concatStringsSep " " [ - "runHook preCheck" - "${python.interpreter} test/run_test.py" - "--exclude" - (concatStringsSep " " [ - "utils" # utils requires git, which is not allowed in the check phase - - # "dataloader" # psutils correctly finds and triggers multiprocessing, but is too sandboxed to run -- resulting in numerous errors - # ^^^^^^^^^^^^ NOTE: while test_dataloader does return errors, these are acceptable errors and do not interfere with the build - - # tensorboard has acceptable failures for pytorch 1.3.x due to dependencies on tensorboard-plugins - (optionalString (majorMinor version == "1.3") "tensorboard") - ]) - "runHook postCheck" - ]; - - pythonRemoveDeps = [ - # In our dist-info the name is just "triton" - "pytorch-triton-rocm" - ]; - - postInstall = '' - find "$out/${python.sitePackages}/torch/include" "$out/${python.sitePackages}/torch/lib" -type f -exec remove-references-to -t ${effectiveStdenv.cc} '{}' + - - mkdir $dev - cp -r $out/${python.sitePackages}/torch/include $dev/include - cp -r $out/${python.sitePackages}/torch/share $dev/share - - # Fix up library paths for split outputs - substituteInPlace \ - $dev/share/cmake/Torch/TorchConfig.cmake \ - --replace-fail \''${TORCH_INSTALL_PREFIX}/lib "$lib/lib" - - substituteInPlace \ - $dev/share/cmake/Caffe2/Caffe2Targets-release.cmake \ - --replace-fail \''${_IMPORT_PREFIX}/lib "$lib/lib" - - mkdir $lib - mv $out/${python.sitePackages}/torch/lib $lib/lib - ln -s $lib/lib $out/${python.sitePackages}/torch/lib - '' - + lib.optionalString rocmSupport '' - substituteInPlace $dev/share/cmake/Tensorpipe/TensorpipeTargets-release.cmake \ - --replace-fail "\''${_IMPORT_PREFIX}/lib64" "$lib/lib" - - substituteInPlace $dev/share/cmake/ATen/ATenConfig.cmake \ - --replace-fail "/build/source/torch/include" "$dev/include" - ''; - - postFixup = '' - mkdir -p "$cxxdev/nix-support" - printWords "''${propagatedCxxBuildInputs[@]}" >> "$cxxdev/nix-support/propagated-build-inputs" - '' - + lib.optionalString stdenv.hostPlatform.isDarwin '' - for f in $(ls $lib/lib/*.dylib); do - install_name_tool -id $lib/lib/$(basename $f) $f || true - done - - install_name_tool -change @rpath/libshm.dylib $lib/lib/libshm.dylib $lib/lib/libtorch_python.dylib - install_name_tool -change @rpath/libtorch.dylib $lib/lib/libtorch.dylib $lib/lib/libtorch_python.dylib - install_name_tool -change @rpath/libc10.dylib $lib/lib/libc10.dylib $lib/lib/libtorch_python.dylib - - install_name_tool -change @rpath/libc10.dylib $lib/lib/libc10.dylib $lib/lib/libtorch.dylib - - install_name_tool -change @rpath/libtorch.dylib $lib/lib/libtorch.dylib $lib/lib/libshm.dylib - install_name_tool -change @rpath/libc10.dylib $lib/lib/libc10.dylib $lib/lib/libshm.dylib - ''; - - # See https://github.com/NixOS/nixpkgs/issues/296179 - # - # This is a quick hack to add `libnvrtc` to the runpath so that torch can find - # it when it is needed at runtime. - extraRunpaths = lib.optionals cudaSupport [ "${lib.getLib cudaPackages.cuda_nvrtc}/lib" ]; - postPhases = lib.optionals stdenv.hostPlatform.isLinux [ "postPatchelfPhase" ]; - postPatchelfPhase = '' - while IFS= read -r -d $'\0' elf ; do - for extra in $extraRunpaths ; do - echo patchelf "$elf" --add-rpath "$extra" >&2 - patchelf "$elf" --add-rpath "$extra" - done - done < <( - find "''${!outputLib}" "$out" -type f -iname '*.so' -print0 - ) - ''; - - # Builds in 2+h with 2 cores, and ~15m with a big-parallel builder. - requiredSystemFeatures = [ "big-parallel" ]; - - passthru = { - inherit - cudaSupport - cudaPackages - cxx11Abi - rocmSupport - rocmPackages - xpuSupport - xpuPackages - ; - cudaCapabilities = if cudaSupport then supportedCudaCapabilities else [ ]; - rocmArchs = if rocmSupport then supportedTorchRocmArchs else [ ]; - # At least for 1.10.2 `torch.fft` is unavailable unless BLAS provider is MKL. This attribute allows for easy detection of its availability. - blasProvider = blas.provider; - # To help debug when a package is broken due to CUDA support - inherit brokenConditions; - tests = callPackage ./tests.nix { }; - }; - - meta = { - changelog = "https://github.com/pytorch/pytorch/releases/tag/v${version}"; - # keep PyTorch in the description so the package can be found under that name on search.nixos.org - description = "PyTorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration"; - homepage = "https://pytorch.org/"; - license = lib.licenses.bsd3; - maintainers = with lib.maintainers; [ - teh - thoughtpolice - tscholak - ]; # tscholak esp. for darwin-related builds - platforms = - lib.platforms.linux ++ lib.optionals (!cudaSupport && !rocmSupport) lib.platforms.darwin; - broken = builtins.any trivial.id (builtins.attrValues brokenConditions); - }; -} diff --git a/pkgs/python-modules/torch/source/2_7/fix-cmake-cuda-toolkit.patch b/pkgs/python-modules/torch/source/2_7/fix-cmake-cuda-toolkit.patch deleted file mode 100644 index 35b6d23..0000000 --- a/pkgs/python-modules/torch/source/2_7/fix-cmake-cuda-toolkit.patch +++ /dev/null @@ -1,51 +0,0 @@ -diff --git a/CMakeLists.txt b/CMakeLists.txt -index c4cd4b2c2a..e983b21353 100644 ---- a/CMakeLists.txt -+++ b/CMakeLists.txt -@@ -1319,10 +1319,6 @@ if(BUILD_SHARED_LIBS) - DIRECTORY ${PROJECT_SOURCE_DIR}/cmake/Modules_CUDA_fix - DESTINATION share/cmake/Caffe2/ - COMPONENT dev) -- install( -- FILES ${PROJECT_SOURCE_DIR}/cmake/Modules/FindCUDAToolkit.cmake -- DESTINATION share/cmake/Caffe2/ -- COMPONENT dev) - install( - FILES ${PROJECT_SOURCE_DIR}/cmake/Modules/FindCUSPARSELT.cmake - DESTINATION share/cmake/Caffe2/ -diff --git a/cmake/public/cuda.cmake b/cmake/public/cuda.cmake -index b37036d2f2..9878b70cf7 100644 ---- a/cmake/public/cuda.cmake -+++ b/cmake/public/cuda.cmake -@@ -61,9 +61,15 @@ find_package(CUDAToolkit REQUIRED) - cmake_policy(POP) - - if(NOT CMAKE_CUDA_COMPILER_VERSION VERSION_EQUAL CUDAToolkit_VERSION) -- message(FATAL_ERROR "Found two conflicting CUDA versions:\n" -- "V${CMAKE_CUDA_COMPILER_VERSION} in '${CUDA_INCLUDE_DIRS}' and\n" -- "V${CUDAToolkit_VERSION} in '${CUDAToolkit_INCLUDE_DIRS}'") -+ if(CUDA_INCLUDE_DIRS IN_LIST CUDAToolkit_INCLUDE_DIR) -+ message(STATUS "CUDA_INCLUDE_DIRS is a substring of CUDAToolkit_INCLUDE_DIR. " -+ "Setting CUDA_INCLUDE_DIRS to CUDAToolkit_INCLUDE_DIR.") -+ set(CUDA_INCLUDE_DIRS "${CUDAToolkit_INCLUDE_DIR}") -+ else() -+ message(FATAL_ERROR "Found two conflicting CUDA installs:\n" -+ "V${CMAKE_CUDA_COMPILER_VERSION} in '${CUDA_INCLUDE_DIRS}' and\n" -+ "V${CUDAToolkit_VERSION} in '${CUDAToolkit_INCLUDE_DIR}'") -+ endif() - endif() - - if(NOT TARGET CUDA::nvToolsExt) -diff --git a/tools/setup_helpers/cmake.py b/tools/setup_helpers/cmake.py -index 4d10b3db1a..48a463df59 100644 ---- a/tools/setup_helpers/cmake.py -+++ b/tools/setup_helpers/cmake.py -@@ -206,6 +206,8 @@ class CMake: - "BUILDING_WITH_TORCH_LIBS", - "CUDA_HOST_COMPILER", - "CUDA_NVCC_EXECUTABLE", -+ "CUDAToolkit_ROOT", -+ "CUDAToolkit_INCLUDE_DIR", - "CUDA_SEPARABLE_COMPILATION", - "CUDNN_LIBRARY", - "CUDNN_INCLUDE_DIR", diff --git a/pkgs/python-modules/torch/source/2_7/mkl-rpath.patch b/pkgs/python-modules/torch/source/2_7/mkl-rpath.patch deleted file mode 100644 index bbb1bc2..0000000 --- a/pkgs/python-modules/torch/source/2_7/mkl-rpath.patch +++ /dev/null @@ -1,17 +0,0 @@ -diff --git a/cmake/public/mkl.cmake b/cmake/public/mkl.cmake -index 2f6d1fd905..f30464be07 100644 ---- a/cmake/public/mkl.cmake -+++ b/cmake/public/mkl.cmake -@@ -16,12 +16,6 @@ foreach(MKL_LIB IN LISTS MKL_LIBRARIES) - endif() - endforeach() - --# TODO: This is a hack, it will not pick up architecture dependent --# MKL libraries correctly; see https://github.com/pytorch/pytorch/issues/73008 --set_property( -- TARGET caffe2::mkl PROPERTY INTERFACE_LINK_DIRECTORIES -- ${MKL_ROOT}/lib ${MKL_ROOT}/lib/intel64 ${MKL_ROOT}/lib/intel64_win ${MKL_ROOT}/lib/win-x64) -- - if(UNIX) - if(USE_STATIC_MKL) - foreach(MKL_LIB_PATH IN LISTS MKL_LIBRARIES) diff --git a/pkgs/python-modules/torch/source/2_7/prefetch.sh b/pkgs/python-modules/torch/source/2_7/prefetch.sh deleted file mode 100755 index 88cbfa2..0000000 --- a/pkgs/python-modules/torch/source/2_7/prefetch.sh +++ /dev/null @@ -1,52 +0,0 @@ -#!/usr/bin/env nix-shell -#!nix-shell -i bash -p nix-prefetch-scripts - -set -eou pipefail - -version=$1 - -linux_cuda_version="cu121" -linux_cuda_bucket="https://download.pytorch.org/whl/${linux_cuda_version}" -linux_cpu_bucket="https://download.pytorch.org/whl/cpu" -darwin_bucket="https://download.pytorch.org/whl/cpu" - -url_and_key_list=( - "x86_64-linux-38 $linux_cuda_bucket/torch-${version}%2B${linux_cuda_version}-cp38-cp38-linux_x86_64.whl torch-${version}-cp38-cp38-linux_x86_64.whl" - "x86_64-linux-39 $linux_cuda_bucket/torch-${version}%2B${linux_cuda_version}-cp39-cp39-linux_x86_64.whl torch-${version}-cp39-cp39-linux_x86_64.whl" - "x86_64-linux-310 $linux_cuda_bucket/torch-${version}%2B${linux_cuda_version}-cp310-cp310-linux_x86_64.whl torch-${version}-cp310-cp310-linux_x86_64.whl" - "x86_64-linux-311 $linux_cuda_bucket/torch-${version}%2B${linux_cuda_version}-cp311-cp311-linux_x86_64.whl torch-${version}-cp311-cp311-linux_x86_64.whl" - "x86_64-linux-312 $linux_cuda_bucket/torch-${version}%2B${linux_cuda_version}-cp312-cp312-linux_x86_64.whl torch-${version}-cp312-cp312-linux_x86_64.whl" - "aarch64-darwin-38 $darwin_bucket/torch-${version}-cp38-none-macosx_11_0_arm64.whl torch-${version}-cp38-none-macosx_11_0_arm64.whl" - "aarch64-darwin-39 $darwin_bucket/torch-${version}-cp39-none-macosx_11_0_arm64.whl torch-${version}-cp39-none-macosx_11_0_arm64.whl" - "aarch64-darwin-310 $darwin_bucket/torch-${version}-cp310-none-macosx_11_0_arm64.whl torch-${version}-cp310-none-macosx_11_0_arm64.whl" - "aarch64-darwin-311 $darwin_bucket/torch-${version}-cp311-none-macosx_11_0_arm64.whl torch-${version}-cp311-none-macosx_11_0_arm64.whl" - "aarch64-darwin-312 $darwin_bucket/torch-${version}-cp312-none-macosx_11_0_arm64.whl torch-${version}-cp312-none-macosx_11_0_arm64.whl" - "aarch64-linux-38 $linux_cpu_bucket/torch-${version}-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl torch-${version}-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl" - "aarch64-linux-39 $linux_cpu_bucket/torch-${version}-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl torch-${version}-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl" - "aarch64-linux-310 $linux_cpu_bucket/torch-${version}-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl torch-${version}-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl" - "aarch64-linux-311 $linux_cpu_bucket/torch-${version}-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl torch-${version}-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl" - "aarch64-linux-312 $linux_cpu_bucket/torch-${version}-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl torch-${version}-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl" -) - -hashfile="binary-hashes-$version.nix" -echo " \"$version\" = {" >> $hashfile - -for url_and_key in "${url_and_key_list[@]}"; do - key=$(echo "$url_and_key" | cut -d' ' -f1) - url=$(echo "$url_and_key" | cut -d' ' -f2) - name=$(echo "$url_and_key" | cut -d' ' -f3) - - echo "prefetching ${url}..." - hash=$(nix hash to-sri --type sha256 `nix-prefetch-url "$url" --name "$name"`) - - echo " $key = {" >> $hashfile - echo " name = \"$name\";" >> $hashfile - echo " url = \"$url\";" >> $hashfile - echo " hash = \"$hash\";" >> $hashfile - echo " };" >> $hashfile - - echo -done - -echo " };" >> $hashfile -echo "done." diff --git a/pkgs/python-modules/torch/source/2_7/pthreadpool-disable-gcd.diff b/pkgs/python-modules/torch/source/2_7/pthreadpool-disable-gcd.diff deleted file mode 100644 index eddd457..0000000 --- a/pkgs/python-modules/torch/source/2_7/pthreadpool-disable-gcd.diff +++ /dev/null @@ -1,45 +0,0 @@ -diff --git a/third_party/pthreadpool/CMakeLists.txt b/third_party/pthreadpool/CMakeLists.txt -index 0db3264..1ba91c4 100644 ---- a/third_party/pthreadpool/CMakeLists.txt -+++ b/third_party/pthreadpool/CMakeLists.txt -@@ -74,9 +74,7 @@ IF(EMSCRIPTEN) - LIST(APPEND PTHREADPOOL_SRCS src/shim.c) - ELSE() - LIST(APPEND PTHREADPOOL_SRCS src/portable-api.c src/memory.c) -- IF(APPLE AND (PTHREADPOOL_SYNC_PRIMITIVE STREQUAL "default" OR PTHREADPOOL_SYNC_PRIMITIVE STREQUAL "gcd")) -- LIST(APPEND PTHREADPOOL_SRCS src/gcd.c) -- ELSEIF(CMAKE_SYSTEM_NAME MATCHES "^(Windows|CYGWIN|MSYS)$" AND (PTHREADPOOL_SYNC_PRIMITIVE STREQUAL "default" OR PTHREADPOOL_SYNC_PRIMITIVE STREQUAL "event")) -+ IF(CMAKE_SYSTEM_NAME MATCHES "^(Windows|CYGWIN|MSYS)$" AND (PTHREADPOOL_SYNC_PRIMITIVE STREQUAL "default" OR PTHREADPOOL_SYNC_PRIMITIVE STREQUAL "event")) - LIST(APPEND PTHREADPOOL_SRCS src/windows.c) - ELSE() - LIST(APPEND PTHREADPOOL_SRCS src/pthreads.c) -@@ -111,10 +109,6 @@ ELSEIF(PTHREADPOOL_SYNC_PRIMITIVE STREQUAL "futex") - TARGET_COMPILE_DEFINITIONS(pthreadpool PRIVATE PTHREADPOOL_USE_FUTEX=1) - TARGET_COMPILE_DEFINITIONS(pthreadpool PRIVATE PTHREADPOOL_USE_GCD=0) - TARGET_COMPILE_DEFINITIONS(pthreadpool PRIVATE PTHREADPOOL_USE_EVENT=0) --ELSEIF(PTHREADPOOL_SYNC_PRIMITIVE STREQUAL "gcd") -- TARGET_COMPILE_DEFINITIONS(pthreadpool PRIVATE PTHREADPOOL_USE_FUTEX=0) -- TARGET_COMPILE_DEFINITIONS(pthreadpool PRIVATE PTHREADPOOL_USE_GCD=1) -- TARGET_COMPILE_DEFINITIONS(pthreadpool PRIVATE PTHREADPOOL_USE_EVENT=0) - ELSEIF(PTHREADPOOL_SYNC_PRIMITIVE STREQUAL "event") - TARGET_COMPILE_DEFINITIONS(pthreadpool PRIVATE PTHREADPOOL_USE_FUTEX=0) - TARGET_COMPILE_DEFINITIONS(pthreadpool PRIVATE PTHREADPOOL_USE_GCD=0) -diff --git a/third_party/pthreadpool/src/threadpool-common.h b/third_party/pthreadpool/src/threadpool-common.h -index ca84744..244d0ca 100644 ---- a/third_party/pthreadpool/src/threadpool-common.h -+++ b/third_party/pthreadpool/src/threadpool-common.h -@@ -14,14 +14,6 @@ - #endif - #endif - --#ifndef PTHREADPOOL_USE_GCD -- #if defined(__APPLE__) -- #define PTHREADPOOL_USE_GCD 1 -- #else -- #define PTHREADPOOL_USE_GCD 0 -- #endif --#endif -- - #ifndef PTHREADPOOL_USE_EVENT - #if defined(_WIN32) || defined(__CYGWIN__) - #define PTHREADPOOL_USE_EVENT 1 diff --git a/pkgs/python-modules/torch/source/2_7/pytorch-pr-108847.patch b/pkgs/python-modules/torch/source/2_7/pytorch-pr-108847.patch deleted file mode 100644 index 9511191..0000000 --- a/pkgs/python-modules/torch/source/2_7/pytorch-pr-108847.patch +++ /dev/null @@ -1,31 +0,0 @@ -From bf4050edab9f294a8e0060c47f906cd7a80f25a2 Mon Sep 17 00:00:00 2001 -From: Samuel Ainsworth -Date: Sat, 9 Sep 2023 02:04:09 +0000 -Subject: [PATCH] Dependencies.cmake: support building against CUPTI outside of - CUDA_SOURCE_DIR - -Limitation discovered in https://github.com/NixOS/nixpkgs/pull/249259. ---- - cmake/Dependencies.cmake | 2 ++ - 1 file changed, 2 insertions(+) - -diff --git a/cmake/Dependencies.cmake b/cmake/Dependencies.cmake -index 0602d534dc4c14..5f6a5f79f3e3dc 100644 ---- a/cmake/Dependencies.cmake -+++ b/cmake/Dependencies.cmake -@@ -1879,6 +1879,7 @@ if(USE_KINETO) - ${CUDA_SOURCE_DIR}/extras/CUPTI/lib64 - ${CUDA_SOURCE_DIR}/lib - ${CUDA_SOURCE_DIR}/lib64 -+ $ENV{CUPTI_LIBRARY_DIR} - NO_DEFAULT_PATH) - - find_path(CUPTI_INCLUDE_DIR cupti.h PATHS -@@ -1886,6 +1887,7 @@ if(USE_KINETO) - ${CUDA_INCLUDE_DIRS} - ${CUDA_SOURCE_DIR} - ${CUDA_SOURCE_DIR}/include -+ $ENV{CUPTI_INCLUDE_DIR} - NO_DEFAULT_PATH) - - if(CUPTI_LIBRARY_PATH AND CUPTI_INCLUDE_DIR) diff --git a/pkgs/python-modules/torch/source/2_7/triton-2.4-compat.patch b/pkgs/python-modules/torch/source/2_7/triton-2.4-compat.patch deleted file mode 100644 index a59f4df..0000000 --- a/pkgs/python-modules/torch/source/2_7/triton-2.4-compat.patch +++ /dev/null @@ -1,81 +0,0 @@ -From c90e23eb73212186b7eb9a98ba69e6309d864c67 Mon Sep 17 00:00:00 2001 -From: Dan Zimmerman -Date: Wed, 30 Apr 2025 13:22:16 +0000 -Subject: [PATCH] [inductor] Fix usage of launch_enter_hook/launch_exit_hook - (#152457) - -In https://github.com/triton-lang/triton/pull/6467 I moved where `launch_enter_hook`/`launch_exit_hook` are specified (from the kernel class to a config). This PR updates the usages to use the config module if it exists to support tip of main triton. - -In https://github.com/triton-lang/triton/pull/6641 I renamed `triton.config` to `triton.knobs`, hence the second commit in this PR. - -Test Plan: Setup OSS PT with tip of main triton (namely including https://github.com/triton-lang/triton/pull/6641) and run `python test/inductor/test_pad_mm.py` - -Pull Request resolved: https://github.com/pytorch/pytorch/pull/152457 -Approved by: https://github.com/jamesjwu ---- - torch/_inductor/runtime/static_cuda_launcher.py | 15 ++++++++++----- - torch/_inductor/runtime/triton_compat.py | 7 +++++++ - torch/_inductor/runtime/triton_heuristics.py | 12 ++++++++++-- - 3 files changed, 27 insertions(+), 7 deletions(-) -diff --git a/torch/_inductor/runtime/triton_compat.py b/torch/_inductor/runtime/triton_compat.py -index d6e45b72ce498..e244ecbee635f 100644 ---- a/torch/_inductor/runtime/triton_compat.py -+++ b/torch/_inductor/runtime/triton_compat.py -@@ -69,5 +69,10 @@ def _log2(x: Any) -> Any: - raise NotImplementedError - -+ -+ try: -+ from triton import knobs -+ except ImportError: -+ knobs = None - else: - - def _raise_error(*args: Any, **kwargs: Any) -> Any: -@@ -88,6 +93,7 @@ class PTXASError(Exception): # type: ignore[no-redef] - _log2 = _raise_error - libdevice = None - math = None -+ knobs = None - - class triton: # type: ignore[no-redef] - @staticmethod -@@ -138,4 +144,5 @@ class autograd_profiler: # type: ignore[no-redef] - "math", - "triton", - "cc_warp_size", -+ "knobs", - ] -diff --git a/torch/_inductor/runtime/triton_heuristics.py b/torch/_inductor/runtime/triton_heuristics.py -index 93fb36e12bbae..ac79ecd7af467 100644 ---- a/torch/_inductor/runtime/triton_heuristics.py -+++ b/torch/_inductor/runtime/triton_heuristics.py -@@ -73,6 +73,7 @@ - GPUTarget, - HAS_WARP_SPEC, - KernelInterface, -+ knobs, - OutOfResources, - PTXASError, - triton, -@@ -1423,11 +1424,18 @@ def make_launcher(self) -> LauncherType: - binary.shared if hasattr(binary, "shared") else binary.metadata.shared - ) - -+ if knobs is None: -+ launch_enter = binary.__class__.launch_enter_hook -+ launch_exit = binary.__class__.launch_exit_hook -+ else: -+ launch_enter = knobs.runtime.launch_enter_hook -+ launch_exit = knobs.runtime.launch_exit_hook -+ - scope = { - "grid_meta": cfg.kwargs, - "bin": binary, -- "launch_enter_hook": binary.__class__.launch_enter_hook, -- "launch_exit_hook": binary.__class__.launch_exit_hook, -+ "launch_enter_hook": launch_enter, -+ "launch_exit_hook": launch_exit, - "metadata": ( - binary.packed_metadata - if hasattr(binary, "packed_metadata") diff --git a/pkgs/python-modules/torch/source/2_8/default.nix b/pkgs/python-modules/torch/source/2_8/default.nix index f372bbe..5f41181 100644 --- a/pkgs/python-modules/torch/source/2_8/default.nix +++ b/pkgs/python-modules/torch/source/2_8/default.nix @@ -552,6 +552,7 @@ buildPythonPackage rec { cuda_cccl # cuda_cudart # cuda_runtime.h and libraries cuda_cupti # For kineto + cuda_profiler_api # cuda_nvcc # crt/host_config.h; even though we include this in nativeBuildInputs, it's needed here too cuda_nvml_dev # cuda_nvrtc @@ -569,12 +570,6 @@ buildPythonPackage rec { # Some platforms do not support NCCL (i.e., Jetson) nccl # Provides nccl.h AND a static copy of NCCL! ] - ++ lists.optionals (strings.versionOlder cudaMajorMinorVersion "11.8") [ - cuda_nvprof # - ] - ++ lists.optionals (strings.versionAtLeast cudaMajorMinorVersion "11.8") [ - cuda_profiler_api # - ] ) ++ lib.optionals rocmSupport ( with rocmPackages; diff --git a/pkgs/python-modules/torch/source/2_9/default.nix b/pkgs/python-modules/torch/source/2_9/default.nix index 3f9a83e..25b18a9 100644 --- a/pkgs/python-modules/torch/source/2_9/default.nix +++ b/pkgs/python-modules/torch/source/2_9/default.nix @@ -539,6 +539,7 @@ buildPythonPackage rec { cuda_nvml_dev # cuda_nvrtc #cuda_nvtx # -llibNVToolsExt + cuda_profiler_api # nvtx libcublas libcufile @@ -552,12 +553,6 @@ buildPythonPackage rec { # Some platforms do not support NCCL (i.e., Jetson) nccl # Provides nccl.h AND a static copy of NCCL! ] - ++ lists.optionals (strings.versionOlder cudaMajorMinorVersion "11.8") [ - cuda_nvprof # - ] - ++ lists.optionals (strings.versionAtLeast cudaMajorMinorVersion "11.8") [ - cuda_profiler_api # - ] ) ++ lib.optionals rocmSupport ( with rocmPackages; diff --git a/pkgs/python-modules/triton-xpu/default.nix b/pkgs/python-modules/triton-xpu/default.nix index 0902d94..39a6860 100644 --- a/pkgs/python-modules/triton-xpu/default.nix +++ b/pkgs/python-modules/triton-xpu/default.nix @@ -15,29 +15,11 @@ triton-llvm, xpuPackages, - torchVersion ? "2.7", + torchVersion ? "2.8", }: let torchTritonVersions = { - "2.7" = { - llvm = { - rev = "1188b1ff7b956cb65d8ddda5f1e56c432f1a57c7"; - hash = "sha256-iwG0bWnrVX9xbHB4eIe/JxQNFdDHb/COXo4d0joOlDE="; - }; - triton = { - rev = "0bcc8265e677e5321606a3311bf71470f14456a8"; - hash = "sha256-R5UbAVIjIBFuBB9Nf638MloZWddTk/sqFNFhqtuD/DI="; - }; - spirv_llm = { - rev = "4eea290c449fca2efd28cfa46d3946c5feaf988c"; - hash = "sha256-IBPlhtkFxghvq1FGRqQJYtA3P6vZmpkDANZaAhnLtKc="; - }; - spirv_headers = { - rev = "2b2e05e088841c63c0b6fd4c9fb380d8688738d3"; - hash = "sha256-EZrWquud9CFrDNdskObCQQCR0HsXOZmJohh/0ybaT7g="; - }; - }; "2.8" = { llvm = { rev = "e12cbd8339b89563059c2bb2a312579b652560d0"; @@ -129,7 +111,7 @@ buildPythonPackage rec { repo = "intel-xpu-backend-for-triton"; }; - sourceRoot = if torchVersion == "2.7" then "${src.name}/python" else "${src.name}"; + sourceRoot = src.name; postPatch = '' chmod -R u+w $NIX_BUILD_TOP/source diff --git a/pkgs/rocm-packages/overrides.nix b/pkgs/rocm-packages/overrides.nix index db76c93..5a31c76 100644 --- a/pkgs/rocm-packages/overrides.nix +++ b/pkgs/rocm-packages/overrides.nix @@ -84,17 +84,10 @@ applyOverrides { { lib, suitesparse, - suitesparse_4_4, }: - prevAttrs: - let - effectiveSuitesparse = - # Remove this conditional when removing ROCm 6.2. - if lib.versionAtLeast prevAttrs.version "2.3.0" then suitesparse else suitesparse_4_4; - in - { + prevAttrs: { buildInputs = prevAttrs.buildInputs ++ [ - effectiveSuitesparse + suitesparse ]; }; diff --git a/pkgs/rocm-packages/rocm-6.2.4-metadata.json b/pkgs/rocm-packages/rocm-6.2.4-metadata.json deleted file mode 100644 index 120926d..0000000 --- a/pkgs/rocm-packages/rocm-6.2.4-metadata.json +++ /dev/null @@ -1,4803 +0,0 @@ -{ - "amd-smi-lib": { - "deps": [ - "rocm-core" - ], - "components": [ - { - "name": "amd-smi-lib", - "sha256": "6a16832b82e32a331b308fd03989573c970fe73edda3d51925db3b7b9f769f6c", - "url": "https://repo.radeon.com/rocm/rhel8/6.2.4/main/amd-smi-lib-24.6.3.60204-139.el8.x86_64.rpm", - "version": "24.6.3.60204" - }, - { - "name": "amd-smi-lib-rpath", - "sha256": "9da21d7ff2feb6c87dcccacf47af30cfd43785ca364b3181abd1594f7c8ea76b", - "url": "https://repo.radeon.com/rocm/rhel8/6.2.4/main/amd-smi-lib-rpath6.2.4-24.6.3.60204-139.el8.x86_64.rpm", - 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"version": "1.8.0.60204" - } - ], - "version": "1.8.0.60204" - } -} diff --git a/pkgs/xpu-packages/cutlass-sycl.nix b/pkgs/xpu-packages/cutlass-sycl.nix index b2fb961..35c9eac 100644 --- a/pkgs/xpu-packages/cutlass-sycl.nix +++ b/pkgs/xpu-packages/cutlass-sycl.nix @@ -13,10 +13,6 @@ let dpcppVersion = oneapi-torch-dev.version; cutlassVersions = { - "2025.0" = { - version = "3.9-0.2"; - hash = "sha256-4/Wo5iTN4d4uLJF6+S/mQlpU8KSGOXwtIRyl2PaV/UA="; - }; "2025.1" = { version = "3.9-0.3"; hash = "sha256-FLmTseMw31txptQkvWaN03xoaLzIbQz2Ip1xtCKH3ZE="; diff --git a/pkgs/xpu-packages/intel-deep-learning-2025.0.2.json b/pkgs/xpu-packages/intel-deep-learning-2025.0.2.json deleted file mode 100644 index 2948777..0000000 --- a/pkgs/xpu-packages/intel-deep-learning-2025.0.2.json +++ /dev/null @@ -1,819 +0,0 @@ -{ - "intel-deep-learning-essentials": { - "deps": [ - "intel-deep-learning-essentials-env", - "intel-deep-learning-essentials-getting-started", - "intel-oneapi-ccl", - "intel-oneapi-common-licensing", - 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"version": "0.10.2" - } - ], - "version": "0.10.2" - } -} diff --git a/pkgs/xpu-packages/onednn-xpu.nix b/pkgs/xpu-packages/onednn-xpu.nix index 36be520..2afd621 100644 --- a/pkgs/xpu-packages/onednn-xpu.nix +++ b/pkgs/xpu-packages/onednn-xpu.nix @@ -12,10 +12,6 @@ let dpcppVersion = oneapi-torch-dev.version; oneDnnVersions = { - "2025.0" = { - version = "3.7.1"; - hash = "sha256-+4z5l0mJsw0SOW245GfZh41mdHGZ8u+xED7afm6pQjs="; - }; "2025.1" = { version = "3.8.1"; hash = "sha256-x4leRd0xPFUygjAv/D125CIXn7lYSyzUKsd9IDh/vCc=";