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python3Packages.torch*: move env variables into env for structuredAttrs

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This commit is contained in:
Stefan Frijters
2026-02-17 14:59:22 +01:00
parent b2bb8b1934
commit 7604c9e10a
1 changed files with 63 additions and 64 deletions
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pkgs/development/python-modules/torch/source/default.nix
+63 -64
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@@ -420,35 +420,76 @@ buildPythonPackage.override { inherit stdenv; } rec {
# causes possible redefinition of _FORTIFY_SOURCE
hardeningDisable = [ "fortify3" ];
BUILD_NAMEDTENSOR = setBool true;
BUILD_DOCS = setBool buildDocs;
env = rec {
BUILD_NAMEDTENSOR = setBool true;
BUILD_DOCS = setBool buildDocs;
# We only do an imports check, so do not build tests either.
BUILD_TEST = setBool false;
# 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";
# ninja hook doesn't automatically turn on ninja
# because pytorch setup.py is responsible for this
CMAKE_GENERATOR = "Ninja";
# 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;
# 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;
# Avoid using pybind11 from git submodule
# Also avoids pytorch exporting the headers of pybind11
USE_SYSTEM_PYBIND11 = true;
# Multicore CPU convnet support
USE_NNPACK = 1;
# Multicore CPU convnet support
USE_NNPACK = 1;
# Explicitly enable MPS for Darwin
USE_MPS = setBool stdenv.hostPlatform.isDarwin;
# Explicitly enable MPS for Darwin
USE_MPS = setBool stdenv.hostPlatform.isDarwin;
# building torch.distributed on Darwin is disabled by default
# https://pytorch.org/docs/stable/distributed.html#torch.distributed.is_available
USE_DISTRIBUTED = setBool true;
# building torch.distributed on Darwin is disabled by default
# https://pytorch.org/docs/stable/distributed.html#torch.distributed.is_available
USE_DISTRIBUTED = setBool true;
# 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}";
# disable warnings as errors as they break the build on every compiler
# bump, among other things.
# 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
NIX_CFLAGS_COMPILE = toString (
[
"-Wno-error"
]
# fix build aarch64-linux build failure with GCC14
++ lib.optionals (stdenv.hostPlatform.isLinux && stdenv.hostPlatform.isAarch64) [
"-Wno-error=incompatible-pointer-types"
]
);
USE_VULKAN = setBool vulkanSupport;
}
// lib.optionalAttrs vulkanSupport {
VULKAN_SDK = shaderc.bin;
}
// lib.optionalAttrs rocmSupport {
AOTRITON_INSTALLED_PREFIX = "${rocmPackages.aotriton}";
# Broken HIP flag setup, fails to compile due to not finding rocthrust
# Only supports gfx942 so let's turn it off for now
USE_FBGEMM_GENAI = setBool false;
};
cmakeFlags = [
(lib.cmakeFeature "PYTHON_SIX_SOURCE_DIR" "${six.src}")
@@ -482,48 +523,6 @@ buildPythonPackage.override { inherit stdenv; } rec {
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}";
env = {
# disable warnings as errors as they break the build on every compiler
# bump, among other things.
# 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
NIX_CFLAGS_COMPILE = toString (
[
"-Wno-error"
]
# fix build aarch64-linux build failure with GCC14
++ lib.optionals (stdenv.hostPlatform.isLinux && stdenv.hostPlatform.isAarch64) [
"-Wno-error=incompatible-pointer-types"
]
);
USE_VULKAN = setBool vulkanSupport;
}
// lib.optionalAttrs vulkanSupport {
VULKAN_SDK = shaderc.bin;
}
// lib.optionalAttrs rocmSupport {
AOTRITON_INSTALLED_PREFIX = "${rocmPackages.aotriton}";
# Broken HIP flag setup, fails to compile due to not finding rocthrust
# Only supports gfx942 so let's turn it off for now
USE_FBGEMM_GENAI = setBool false;
};
nativeBuildInputs = [
cmake
which