mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-06 12:20:52 +01:00
b179a097ea
Like #89924 #91083 #85097 added new extra dependencies on nvidia-*. They are linux x86_64 (GPU) only packages, but were not marked as such, causing issues installing pytorch 1.13 via Poetry (and possibly other tools that follow PyPI's metadata API) on Linux aarch64 systems. This "fixes" the issue by adding the `and platform_machine == 'x86_64'` marker on these dependencies. Pull Request resolved: https://github.com/pytorch/pytorch/pull/93066 Approved by: https://github.com/malfet
257 lines
10 KiB
Python
257 lines
10 KiB
Python
#!/usr/bin/env python3
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"""Generates a matrix to be utilized through github actions
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Will output a condensed version of the matrix if on a pull request that only
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includes the latest version of python we support built on three different
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architectures:
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* CPU
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* Latest CUDA
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* Latest ROCM
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"""
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from typing import Dict, List, Tuple, Optional
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CUDA_ARCHES = ["11.6", "11.7", "11.8"]
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ROCM_ARCHES = ["5.2", "5.3"]
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def arch_type(arch_version: str) -> str:
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if arch_version in CUDA_ARCHES:
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return "cuda"
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elif arch_version in ROCM_ARCHES:
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return "rocm"
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else: # arch_version should always be "cpu" in this case
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return "cpu"
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WHEEL_CONTAINER_IMAGES = {
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**{
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gpu_arch: f"pytorch/manylinux-builder:cuda{gpu_arch}"
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for gpu_arch in CUDA_ARCHES
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},
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**{
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gpu_arch: f"pytorch/manylinux-builder:rocm{gpu_arch}"
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for gpu_arch in ROCM_ARCHES
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},
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"cpu": "pytorch/manylinux-builder:cpu",
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}
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CONDA_CONTAINER_IMAGES = {
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**{gpu_arch: f"pytorch/conda-builder:cuda{gpu_arch}" for gpu_arch in CUDA_ARCHES},
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"cpu": "pytorch/conda-builder:cpu",
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}
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PRE_CXX11_ABI = "pre-cxx11"
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CXX11_ABI = "cxx11-abi"
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RELEASE = "release"
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DEBUG = "debug"
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LIBTORCH_CONTAINER_IMAGES: Dict[Tuple[str, str], str] = {
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**{
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(gpu_arch, PRE_CXX11_ABI): f"pytorch/manylinux-builder:cuda{gpu_arch}"
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for gpu_arch in CUDA_ARCHES
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},
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**{
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(gpu_arch, CXX11_ABI): f"pytorch/libtorch-cxx11-builder:cuda{gpu_arch}"
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for gpu_arch in CUDA_ARCHES
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},
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**{
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(gpu_arch, PRE_CXX11_ABI): f"pytorch/manylinux-builder:rocm{gpu_arch}"
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for gpu_arch in ROCM_ARCHES
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},
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**{
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(gpu_arch, CXX11_ABI): f"pytorch/libtorch-cxx11-builder:rocm{gpu_arch}"
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for gpu_arch in ROCM_ARCHES
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},
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("cpu", PRE_CXX11_ABI): "pytorch/manylinux-builder:cpu",
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("cpu", CXX11_ABI): "pytorch/libtorch-cxx11-builder:cpu",
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}
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FULL_PYTHON_VERSIONS = ["3.8", "3.9", "3.10"]
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def translate_desired_cuda(gpu_arch_type: str, gpu_arch_version: str) -> str:
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return {
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"cpu": "cpu",
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"cuda": f"cu{gpu_arch_version.replace('.', '')}",
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"rocm": f"rocm{gpu_arch_version}",
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}.get(gpu_arch_type, gpu_arch_version)
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def list_without(in_list: List[str], without: List[str]) -> List[str]:
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return [item for item in in_list if item not in without]
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def generate_conda_matrix(os: str) -> List[Dict[str, str]]:
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ret: List[Dict[str, str]] = []
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arches = ["cpu"]
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python_versions = list(FULL_PYTHON_VERSIONS)
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if os == "linux":
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# NOTE: We only build 3.11 on linux right now as many dependencies
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# are yet not available on conda
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python_versions.append("3.11")
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if os == "linux" or os == "windows":
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arches += CUDA_ARCHES
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for python_version in python_versions:
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# We don't currently build conda packages for rocm
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for arch_version in arches:
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gpu_arch_type = arch_type(arch_version)
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gpu_arch_version = "" if arch_version == "cpu" else arch_version
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ret.append(
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{
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"python_version": python_version,
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"gpu_arch_type": gpu_arch_type,
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"gpu_arch_version": gpu_arch_version,
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"desired_cuda": translate_desired_cuda(
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gpu_arch_type, gpu_arch_version
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),
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"container_image": CONDA_CONTAINER_IMAGES[arch_version],
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"package_type": "conda",
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"build_name": f"conda-py{python_version}-{gpu_arch_type}{gpu_arch_version}".replace(
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".", "_"
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),
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}
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)
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return ret
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def generate_libtorch_matrix(os: str, abi_version: str,
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arches: Optional[List[str]] = None,
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libtorch_variants: Optional[List[str]] = None) -> List[Dict[str, str]]:
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if arches is None:
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arches = ["cpu"]
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if os == "linux":
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arches += CUDA_ARCHES
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arches += ROCM_ARCHES
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elif os == "windows":
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arches += CUDA_ARCHES
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if libtorch_variants is None:
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libtorch_variants = [
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"shared-with-deps",
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"shared-without-deps",
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"static-with-deps",
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"static-without-deps",
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]
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ret: List[Dict[str, str]] = []
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for arch_version in arches:
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for libtorch_variant in libtorch_variants:
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# one of the values in the following list must be exactly
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# CXX11_ABI, but the precise value of the other one doesn't
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# matter
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gpu_arch_type = arch_type(arch_version)
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gpu_arch_version = "" if arch_version == "cpu" else arch_version
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# ROCm builds without-deps failed even in ROCm runners; skip for now
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if gpu_arch_type == "rocm" and "without-deps" in libtorch_variant:
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continue
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ret.append(
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{
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"gpu_arch_type": gpu_arch_type,
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"gpu_arch_version": gpu_arch_version,
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"desired_cuda": translate_desired_cuda(
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gpu_arch_type, gpu_arch_version
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),
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"libtorch_variant": libtorch_variant,
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"libtorch_config": abi_version if os == "windows" else "",
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"devtoolset": abi_version if os != "windows" else "",
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"container_image": LIBTORCH_CONTAINER_IMAGES[
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(arch_version, abi_version)
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] if os != "windows" else "",
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"package_type": "libtorch",
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"build_name": f"libtorch-{gpu_arch_type}{gpu_arch_version}-{libtorch_variant}-{abi_version}".replace(
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".", "_"
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),
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}
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)
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return ret
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def generate_wheels_matrix(os: str,
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arches: Optional[List[str]] = None,
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python_versions: Optional[List[str]] = None) -> List[Dict[str, str]]:
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package_type = "wheel"
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if os == "linux":
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# NOTE: We only build manywheel packages for linux
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package_type = "manywheel"
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if python_versions is None:
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# Define default python version
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python_versions = list(FULL_PYTHON_VERSIONS)
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if os == "linux":
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# NOTE: We only build 3.11 wheel on linux as 3.11 is not
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# available on conda right now
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python_versions.append("3.11")
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if arches is None:
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# Define default compute archivectures
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arches = ["cpu"]
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if os == "linux":
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arches += CUDA_ARCHES + ROCM_ARCHES
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elif os == "windows":
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arches += CUDA_ARCHES
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ret: List[Dict[str, str]] = []
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for python_version in python_versions:
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for arch_version in arches:
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gpu_arch_type = arch_type(arch_version)
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gpu_arch_version = "" if arch_version == "cpu" else arch_version
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# Skip rocm 3.11 binaries for now as the docker image are not correct
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if python_version == "3.11" and gpu_arch_type == "rocm":
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continue
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# special 11.7 wheels package without dependencies
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# dependency downloaded via pip install
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if arch_version == "11.7" and os == "linux":
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ret.append(
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{
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"python_version": python_version,
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"gpu_arch_type": gpu_arch_type,
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"gpu_arch_version": gpu_arch_version,
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"desired_cuda": translate_desired_cuda(
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gpu_arch_type, gpu_arch_version
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),
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"container_image": WHEEL_CONTAINER_IMAGES[arch_version],
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"package_type": package_type,
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"pytorch_extra_install_requirements":
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"nvidia-cuda-nvrtc-cu11==11.7.99; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-cuda-runtime-cu11==11.7.99; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-cuda-cupti-cu11==11.7.101; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-cudnn-cu11==8.5.0.96; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-cublas-cu11==11.10.3.66; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-cufft-cu11==10.9.0.58; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-curand-cu11==10.2.10.91; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-cusolver-cu11==11.4.0.1; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-cusparse-cu11==11.7.4.91; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-nccl-cu11==2.14.3; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-nvtx-cu11==11.7.91; platform_system == 'Linux' and platform_machine == 'x86_64'",
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"build_name":
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f"{package_type}-py{python_version}-{gpu_arch_type}{gpu_arch_version}-with-pypi-cudnn"
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.replace(
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".", "_"
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),
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}
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)
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ret.append(
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{
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"python_version": python_version,
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"gpu_arch_type": gpu_arch_type,
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"gpu_arch_version": gpu_arch_version,
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"desired_cuda": translate_desired_cuda(
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gpu_arch_type, gpu_arch_version
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),
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"container_image": WHEEL_CONTAINER_IMAGES[arch_version],
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"package_type": package_type,
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"build_name": f"{package_type}-py{python_version}-{gpu_arch_type}{gpu_arch_version}".replace(
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".", "_"
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),
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}
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)
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return ret
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