mirror of
https://github.com/pytorch/pytorch.git
synced 2025-10-20 21:14:14 +08:00
9095a9dfae
When trying to bring cu129 back in https://github.com/pytorch/pytorch/pull/163029, I mainly looked at https://github.com/pytorch/pytorch/pull/163029 and missed another tweak coming from https://github.com/pytorch/pytorch/pull/162455
I discover this issue when testing aarch64+cu129 builds in https://github.com/pytorch/test-infra/actions/runs/18603342105/job/53046883322?pr=7373. Surprisingly, there is no test running for aarch64 CUDA build from what I see in 79a37055e7.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/165794
Approved by: https://github.com/malfet
419 lines
17 KiB
Python
419 lines
17 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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* Latest XPU
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"""
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import os
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from typing import Optional
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# NOTE: Please also update the CUDA sources in `PIP_SOURCES` in tools/nightly.py when changing this
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CUDA_ARCHES = ["12.6", "12.8", "12.9", "13.0"]
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CUDA_STABLE = "12.8"
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CUDA_ARCHES_FULL_VERSION = {
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"12.6": "12.6.3",
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"12.8": "12.8.1",
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"12.9": "12.9.1",
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"13.0": "13.0.0",
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}
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CUDA_ARCHES_CUDNN_VERSION = {
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"12.6": "9",
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"12.8": "9",
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"12.9": "9",
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"13.0": "9",
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}
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# NOTE: Please also update the ROCm sources in `PIP_SOURCES` in tools/nightly.py when changing this
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ROCM_ARCHES = ["6.4", "7.0"]
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XPU_ARCHES = ["xpu"]
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CPU_AARCH64_ARCH = ["cpu-aarch64"]
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CPU_S390X_ARCH = ["cpu-s390x"]
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CUDA_AARCH64_ARCHES = ["12.6-aarch64", "12.8-aarch64", "12.9-aarch64", "13.0-aarch64"]
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PYTORCH_EXTRA_INSTALL_REQUIREMENTS = {
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"12.6": (
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"nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' | "
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"nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' | "
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"nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' | "
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"nvidia-cudnn-cu12==9.10.2.21; platform_system == 'Linux' | "
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"nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' | "
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"nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' | "
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"nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' | "
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"nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' | "
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"nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' | "
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"nvidia-cusparselt-cu12==0.7.1; platform_system == 'Linux' | "
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"nvidia-nccl-cu12==2.27.5; platform_system == 'Linux' | "
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"nvidia-nvshmem-cu12==3.3.24; platform_system == 'Linux' | "
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"nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' | "
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"nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' | "
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"nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux'"
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),
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"12.8": (
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"nvidia-cuda-nvrtc-cu12==12.8.93; platform_system == 'Linux' | "
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"nvidia-cuda-runtime-cu12==12.8.90; platform_system == 'Linux' | "
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"nvidia-cuda-cupti-cu12==12.8.90; platform_system == 'Linux' | "
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"nvidia-cudnn-cu12==9.10.2.21; platform_system == 'Linux' | "
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"nvidia-cublas-cu12==12.8.4.1; platform_system == 'Linux' | "
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"nvidia-cufft-cu12==11.3.3.83; platform_system == 'Linux' | "
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"nvidia-curand-cu12==10.3.9.90; platform_system == 'Linux' | "
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"nvidia-cusolver-cu12==11.7.3.90; platform_system == 'Linux' | "
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"nvidia-cusparse-cu12==12.5.8.93; platform_system == 'Linux' | "
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"nvidia-cusparselt-cu12==0.7.1; platform_system == 'Linux' | "
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"nvidia-nccl-cu12==2.27.5; platform_system == 'Linux' | "
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"nvidia-nvshmem-cu12==3.3.24; platform_system == 'Linux' | "
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"nvidia-nvtx-cu12==12.8.90; platform_system == 'Linux' | "
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"nvidia-nvjitlink-cu12==12.8.93; platform_system == 'Linux' | "
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"nvidia-cufile-cu12==1.13.1.3; platform_system == 'Linux'"
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),
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"12.9": (
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"nvidia-cuda-nvrtc-cu12==12.9.86; platform_system == 'Linux' | "
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"nvidia-cuda-runtime-cu12==12.9.79; platform_system == 'Linux' | "
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"nvidia-cuda-cupti-cu12==12.9.79; platform_system == 'Linux' | "
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"nvidia-cudnn-cu12==9.10.2.21; platform_system == 'Linux' | "
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"nvidia-cublas-cu12==12.9.1.4; platform_system == 'Linux' | "
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"nvidia-cufft-cu12==11.4.1.4; platform_system == 'Linux' | "
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"nvidia-curand-cu12==10.3.10.19; platform_system == 'Linux' | "
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"nvidia-cusolver-cu12==11.7.5.82; platform_system == 'Linux' | "
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"nvidia-cusparse-cu12==12.5.10.65; platform_system == 'Linux' | "
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"nvidia-cusparselt-cu12==0.7.1; platform_system == 'Linux' | "
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"nvidia-nccl-cu12==2.27.5; platform_system == 'Linux' | "
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"nvidia-nvshmem-cu12==3.3.20; platform_system == 'Linux' | "
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"nvidia-nvtx-cu12==12.9.79; platform_system == 'Linux' | "
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"nvidia-nvjitlink-cu12==12.9.86; platform_system == 'Linux' | "
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"nvidia-cufile-cu12==1.14.1.1; platform_system == 'Linux'"
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),
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"13.0": (
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"nvidia-cuda-nvrtc==13.0.48; platform_system == 'Linux' | "
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"nvidia-cuda-runtime==13.0.48; platform_system == 'Linux' | "
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"nvidia-cuda-cupti==13.0.48; platform_system == 'Linux' | "
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"nvidia-cudnn-cu13==9.13.0.50; platform_system == 'Linux' | "
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"nvidia-cublas==13.0.0.19; platform_system == 'Linux' | "
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"nvidia-cufft==12.0.0.15; platform_system == 'Linux' | "
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"nvidia-curand==10.4.0.35; platform_system == 'Linux' | "
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"nvidia-cusolver==12.0.3.29; platform_system == 'Linux' | "
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"nvidia-cusparse==12.6.2.49; platform_system == 'Linux' | "
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"nvidia-cusparselt-cu13==0.8.0; platform_system == 'Linux' | "
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"nvidia-nccl-cu13==2.27.7; platform_system == 'Linux' | "
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"nvidia-nvshmem-cu13==3.3.24; platform_system == 'Linux' | "
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"nvidia-nvtx==13.0.39; platform_system == 'Linux' | "
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"nvidia-nvjitlink==13.0.39; platform_system == 'Linux' | "
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"nvidia-cufile==1.15.0.42; platform_system == 'Linux'"
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),
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"xpu": (
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"intel-cmplr-lib-rt==2025.2.1 | "
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"intel-cmplr-lib-ur==2025.2.1 | "
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"intel-cmplr-lic-rt==2025.2.1 | "
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"intel-sycl-rt==2025.2.1 | "
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"oneccl-devel==2021.16.1; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"oneccl==2021.16.1; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"impi-rt==2021.16.1; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"onemkl-sycl-blas==2025.2.0 | "
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"onemkl-sycl-dft==2025.2.0 | "
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"onemkl-sycl-lapack==2025.2.0 | "
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"onemkl-sycl-rng==2025.2.0 | "
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"onemkl-sycl-sparse==2025.2.0 | "
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"dpcpp-cpp-rt==2025.2.1 | "
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"intel-opencl-rt==2025.2.1 | "
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"mkl==2025.2.0 | "
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"intel-openmp==2025.2.1 | "
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"tbb==2022.2.0 | "
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"tcmlib==1.4.0 | "
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"umf==0.11.0 | "
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"intel-pti==0.13.1"
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),
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}
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def get_nccl_wheel_version(arch_version: str) -> str:
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import re
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requirements = map(
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str.strip, re.split("[;|]", PYTORCH_EXTRA_INSTALL_REQUIREMENTS[arch_version])
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)
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return next(x for x in requirements if x.startswith("nvidia-nccl")).split("==")[1]
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def read_nccl_pin(arch_version: str) -> str:
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from pathlib import Path
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nccl_pin_path = os.path.join(
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Path(__file__).absolute().parents[2],
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".ci",
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"docker",
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"ci_commit_pins",
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f"nccl-cu{arch_version[:2]}.txt",
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)
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with open(nccl_pin_path) as f:
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return f.read().strip()
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def validate_nccl_dep_consistency(arch_version: str) -> None:
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nccl_release_tag = read_nccl_pin(arch_version)
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wheel_ver = get_nccl_wheel_version(arch_version)
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if not nccl_release_tag.startswith(f"v{wheel_ver}"):
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raise RuntimeError(
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f"{arch_version} NCCL release tag version {nccl_release_tag} does not correspond to wheel version {wheel_ver}"
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)
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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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elif arch_version in XPU_ARCHES:
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return "xpu"
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elif arch_version in CPU_AARCH64_ARCH:
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return "cpu-aarch64"
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elif arch_version in CPU_S390X_ARCH:
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return "cpu-s390x"
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elif arch_version in CUDA_AARCH64_ARCHES:
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return "cuda-aarch64"
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else: # arch_version should always be "cpu" in this case
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return "cpu"
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DEFAULT_TAG = os.getenv("RELEASE_VERSION_TAG", "main")
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WHEEL_CONTAINER_IMAGES = {
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**{gpu_arch: f"manylinux2_28-builder:cuda{gpu_arch}" for gpu_arch in CUDA_ARCHES},
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**{
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gpu_arch: f"manylinuxaarch64-builder:cuda{gpu_arch.replace('-aarch64', '')}"
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for gpu_arch in CUDA_AARCH64_ARCHES
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},
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**{gpu_arch: f"manylinux2_28-builder:rocm{gpu_arch}" for gpu_arch in ROCM_ARCHES},
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"xpu": "manylinux2_28-builder:xpu",
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"cpu": "manylinux2_28-builder:cpu",
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"cpu-aarch64": "manylinux2_28_aarch64-builder:cpu-aarch64",
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"cpu-s390x": "pytorch/manylinuxs390x-builder:cpu-s390x",
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}
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RELEASE = "release"
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DEBUG = "debug"
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LIBTORCH_CONTAINER_IMAGES: dict[str, str] = {
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**{gpu_arch: f"libtorch-cxx11-builder:cuda{gpu_arch}" for gpu_arch in CUDA_ARCHES},
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**{gpu_arch: f"libtorch-cxx11-builder:rocm{gpu_arch}" for gpu_arch in ROCM_ARCHES},
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"cpu": "libtorch-cxx11-builder:cpu",
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}
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FULL_PYTHON_VERSIONS = ["3.10", "3.11", "3.12", "3.13", "3.13t", "3.14", "3.14t"]
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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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"cpu-aarch64": "cpu",
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"cpu-s390x": "cpu",
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"cuda": f"cu{gpu_arch_version.replace('.', '')}",
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"cuda-aarch64": f"cu{gpu_arch_version.replace('-aarch64', '').replace('.', '')}",
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"rocm": f"rocm{gpu_arch_version}",
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"xpu": "xpu",
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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_libtorch_matrix(
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os: str,
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release_type: str,
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arches: Optional[list[str]] = None,
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libtorch_variants: Optional[list[str]] = None,
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) -> 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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# TODO (huydhn): Only build CUDA 12.9 for Linux. This logic is to be cleaned up
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# in 2.10
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windows_cuda_arches = CUDA_ARCHES.copy()
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windows_cuda_arches.remove("12.9")
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arches += windows_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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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_config": release_type,
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"libtorch_variant": libtorch_variant,
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"container_image": (
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LIBTORCH_CONTAINER_IMAGES[arch_version].split(":")[0]
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if os not in ("windows", "windows-arm64")
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else ""
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),
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"container_image_tag_prefix": (
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LIBTORCH_CONTAINER_IMAGES[arch_version].split(":")[1]
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if os not in ("windows", "windows-arm64")
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else ""
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),
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"package_type": "libtorch",
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"build_name": f"libtorch-{gpu_arch_type}{gpu_arch_version}-{libtorch_variant}-{release_type}".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(
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os: str,
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arches: Optional[list[str]] = None,
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python_versions: Optional[list[str]] = None,
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) -> list[dict[str, str]]:
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package_type = "wheel"
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if os == "linux" or os == "linux-aarch64" or os == "linux-s390x":
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# NOTE: We only build manywheel packages for x86_64 and aarch64 and s390x linux
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package_type = "manywheel"
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if python_versions is None:
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python_versions = FULL_PYTHON_VERSIONS
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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 + XPU_ARCHES
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elif os == "windows":
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# TODO (huydhn): Only build CUDA 12.9 for Linux. This logic is to be cleaned up
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# in 2.10
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windows_cuda_arches = CUDA_ARCHES.copy()
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windows_cuda_arches.remove("12.9")
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arches += windows_cuda_arches + XPU_ARCHES
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elif os == "linux-aarch64":
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# Separate new if as the CPU type is different and
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# uses different build/test scripts
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arches = CPU_AARCH64_ARCH + CUDA_AARCH64_ARCHES
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elif os == "linux-s390x":
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# Only want the one arch as the CPU type is different and
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# uses different build/test scripts
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arches = ["cpu-s390x"]
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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 = (
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""
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if arch_version == "cpu"
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or arch_version == "cpu-aarch64"
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or arch_version == "cpu-s390x"
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or arch_version == "xpu"
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else arch_version
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)
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# TODO: Enable python 3.14 for rest
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if os not in [
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"linux",
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"linux-aarch64",
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"linux-s390x",
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"macos-arm64",
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"windows",
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] and (python_version == "3.14" or python_version == "3.14t"):
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continue
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# cuda linux wheels require PYTORCH_EXTRA_INSTALL_REQUIREMENTS to install
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if (
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arch_version in ["13.0", "12.9", "12.8", "12.6"]
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and os == "linux"
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or arch_version in CUDA_AARCH64_ARCHES
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):
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desired_cuda = translate_desired_cuda(gpu_arch_type, gpu_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": desired_cuda,
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"container_image": WHEEL_CONTAINER_IMAGES[arch_version].split(
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":"
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)[0],
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"container_image_tag_prefix": WHEEL_CONTAINER_IMAGES[
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arch_version
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].split(":")[1],
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"package_type": package_type,
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"pytorch_extra_install_requirements": (
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PYTORCH_EXTRA_INSTALL_REQUIREMENTS[
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f"{desired_cuda[2:4]}.{desired_cuda[4:]}" # for cuda-aarch64: cu126 -> 12.6
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]
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if os == "linux-aarch64"
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else PYTORCH_EXTRA_INSTALL_REQUIREMENTS[arch_version]
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),
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"build_name": (
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f"{package_type}-py{python_version}-{gpu_arch_type}"
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f"{'-' if 'aarch64' in gpu_arch_type else ''}{gpu_arch_version.replace('-aarch64', '')}".replace(
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".", "_"
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)
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), # include special case for aarch64 build, remove the -aarch64 postfix
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}
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)
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else:
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ret.append(
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{
|
|
"python_version": python_version,
|
|
"gpu_arch_type": gpu_arch_type,
|
|
"gpu_arch_version": gpu_arch_version,
|
|
"desired_cuda": translate_desired_cuda(
|
|
gpu_arch_type, gpu_arch_version
|
|
),
|
|
"container_image": WHEEL_CONTAINER_IMAGES[arch_version].split(
|
|
":"
|
|
)[0],
|
|
"container_image_tag_prefix": WHEEL_CONTAINER_IMAGES[
|
|
arch_version
|
|
].split(":")[1],
|
|
"package_type": package_type,
|
|
"build_name": f"{package_type}-py{python_version}-{gpu_arch_type}{gpu_arch_version}".replace(
|
|
".", "_"
|
|
),
|
|
"pytorch_extra_install_requirements": (
|
|
PYTORCH_EXTRA_INSTALL_REQUIREMENTS["xpu"]
|
|
if gpu_arch_type == "xpu"
|
|
else ""
|
|
),
|
|
}
|
|
)
|
|
|
|
return ret
|
|
|
|
|
|
validate_nccl_dep_consistency("13.0")
|
|
validate_nccl_dep_consistency("12.9")
|
|
validate_nccl_dep_consistency("12.8")
|
|
validate_nccl_dep_consistency("12.6")
|