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{
lib,
buildPythonPackage,
fetchFromGitHub,
# build-system
setuptools,
torch,
# buildInputs
pybind11,
# nativeBuildInputs
writableTmpDirAsHomeHook,
# dependencies
cxxfilt,
numpy,
packaging,
pytest,
pyyaml,
tqdm,
# tests
onnxscript,
pytestCheckHook,
torchvision,
apex,
cudaPackages,
cudaSupport ? torch.cudaSupport,
}:
buildPythonPackage.override { inherit (torch) stdenv; } (finalAttrs: {
pname = "apex";
version = "25.09";
pyproject = true;
__structuredAttrs = true;
src = fetchFromGitHub {
owner = "nvidia";
repo = "apex";
tag = finalAttrs.version;
hash = "sha256-/WcFCDjNXWbCnWoprYYAUcLt9p1CqJLzPXcBkPn+ics=";
};
patches = [
# Fix incompatibility with more recent versions of cudnn to de-vendor it:
# error: ‘throw_if’ is not a member of ‘cudnn_frontend’
./fix-cudnn-frontend-compat.patch
];
# Don't use git submodules for cuda dependencies
postPatch = ''
substituteInPlace setup.py \
--replace-fail \
'subprocess.run(["git", "submodule", "update", "--init", "apex/contrib/csrc/multihead_attn/cutlass"])' \
"" \
--replace-fail \
'subprocess.run(["git", "submodule", "update", "--init", "apex/contrib/csrc/cudnn-frontend/"])' \
""
'';
env = {
APEX_CPP_EXT = 1;
}
// lib.optionalAttrs cudaSupport {
CUDA_HOME = (lib.getBin cudaPackages.cuda_nvcc).outPath;
TORCH_CUDA_ARCH_LIST = "${lib.concatStringsSep ";" torch.cudaCapabilities}";
# Even if APEX_ALL_CONTRIB_EXT is enabled, APEX_CUDA_EXT must be explicitly enable
APEX_CUDA_EXT = 1;
# Enable all contrib extensions at once
# https://github.com/NVIDIA/apex/tree/25.09#custom-ccuda-extensions-and-install-options
APEX_ALL_CONTRIB_EXT = 1;
NVCC_APPEND_FLAGS = lib.toString [
# Make kernel compilation slightly more parallel
"--threads 2"
];
};
preBuild = ''
export APEX_PARALLEL_BUILD=$NIX_BUILD_CORES
'';
build-system = [
setuptools
torch
];
buildInputs = [
pybind11
]
++ lib.optionals cudaSupport (
with cudaPackages;
[
cuda_cudart # cuda_runtime.h
cuda_profiler_api # cuda_profiler_api.h
cudnn # cudnn.h
cudnn-frontend # cudnn_frontend.h
cutlass # cutlass/cutlass.h
libcublas # cublas_v2.h
libcufile # cufile.h
libcurand # curand_kernel.h
libcusolver # cusolverDn.h
libcusparse # cusparse.h
nccl # nccl.h
]
);
nativeBuildInputs = [
writableTmpDirAsHomeHook
];
dependencies = [
cxxfilt
numpy
packaging
pytest
pyyaml
tqdm
];
pythonImportsCheck = [
"apex"
"apex_C"
]
++ lib.optionals cudaSupport [
"_apex_gpu_direct_storage"
"_apex_nccl_allocator"
"amp_C"
"apex_C"
"bnp"
"fmhalib"
"fused_layer_norm_cuda"
"nccl_p2p_cuda"
"syncbn"
];
nativeCheckInputs = [
onnxscript
pytestCheckHook
torchvision
];
preCheck = ''
rm -rf apex
''
# Otherwise, test collection fails with:
# ModuleNotFoundError: No module named 'test_fused_optimizer'
+ ''
rm tests/L0/run_optimizers/__init__.py
'';
doCheck = false;
disabledTestPaths = [
# Try to read the driver version from nvidia-smi (failing in the sandbox)
# TypeError: expected string or bytes-like object, got 'NoneType'
"tests/L0/run_transformer/"
# apex.parallel was removed in https://github.com/NVIDIA/apex/pull/1896, but some tests still
# try to import it
"tests/distributed/DDP/ddp_race_condition_test.py"
"tests/distributed/synced_batchnorm/"
];
disabledTests = [
# RuntimeError: The tensor has a non-zero number of elements, but its data is not allocated yet.
# torch.onnx._internal.exporter._errors.TorchExportError: Failed to export the model with torch.export.
"test_layer_norm_export_cuda"
"test_rms_export_cuda"
];
passthru.gpuCheck = apex.overridePythonAttrs {
requiredSystemFeatures = [ "cuda" ];
doCheck = true;
};
meta = {
description = "Tools for easy mixed precision and distributed training in Pytorch";
homepage = "https://github.com/nvidia/apex";
license = lib.licenses.bsd3;
maintainers = with lib.maintainers; [ GaetanLepage ];
broken = !cudaSupport;
};
})
|
