mirror of
https://github.com/pytorch/pytorch.git
synced 2025-10-20 21:14:14 +08:00
475656fd9c
This reverts commit 2293fe1024812d6349f6e2b3b7de82c6b73f11e4. Reverted https://github.com/pytorch/pytorch/pull/129374 on behalf of https://github.com/malfet due to failing internal ROCM builds with error: ModuleNotFoundError: No module named hipify ([comment](https://github.com/pytorch/pytorch/pull/129374#issuecomment-2562973920))
449 lines
18 KiB
Python
449 lines
18 KiB
Python
#!/usr/bin/env python3
|
|
|
|
"""Generates a matrix to be utilized through github actions
|
|
|
|
Will output a condensed version of the matrix if on a pull request that only
|
|
includes the latest version of python we support built on three different
|
|
architectures:
|
|
* CPU
|
|
* Latest CUDA
|
|
* Latest ROCM
|
|
* Latest XPU
|
|
"""
|
|
|
|
import os
|
|
from typing import Dict, List, Optional, Tuple
|
|
|
|
|
|
# NOTE: Also update the CUDA sources in tools/nightly.py when changing this list
|
|
CUDA_ARCHES = ["11.8", "12.4", "12.6"]
|
|
CUDA_ARCHES_FULL_VERSION = {"11.8": "11.8.0", "12.4": "12.4.1", "12.6": "12.6.3"}
|
|
CUDA_ARCHES_CUDNN_VERSION = {"11.8": "9", "12.4": "9", "12.6": "9"}
|
|
|
|
ROCM_ARCHES = ["6.2.4", "6.3"]
|
|
|
|
XPU_ARCHES = ["xpu"]
|
|
|
|
CPU_CXX11_ABI_ARCH = ["cpu-cxx11-abi"]
|
|
|
|
CPU_AARCH64_ARCH = ["cpu-aarch64"]
|
|
|
|
CPU_S390X_ARCH = ["cpu-s390x"]
|
|
|
|
CUDA_AARCH64_ARCH = ["cuda-aarch64"]
|
|
|
|
|
|
PYTORCH_EXTRA_INSTALL_REQUIREMENTS = {
|
|
"11.8": (
|
|
"nvidia-cuda-nvrtc-cu11==11.8.89; platform_system == 'Linux' and platform_machine == 'x86_64' | " # noqa: B950
|
|
"nvidia-cuda-runtime-cu11==11.8.89; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-cuda-cupti-cu11==11.8.87; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-cudnn-cu11==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-cublas-cu11==11.11.3.6; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-cufft-cu11==10.9.0.58; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-curand-cu11==10.3.0.86; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-cusolver-cu11==11.4.1.48; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-cusparse-cu11==11.7.5.86; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-nccl-cu11==2.21.5; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-nvtx-cu11==11.8.86; platform_system == 'Linux' and platform_machine == 'x86_64'"
|
|
),
|
|
"12.4": (
|
|
"nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-nccl-cu12==2.21.5; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'"
|
|
),
|
|
"12.6": (
|
|
"nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-nccl-cu12==2.21.5; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | "
|
|
"nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64'"
|
|
),
|
|
"xpu": (
|
|
"intel-cmplr-lib-rt==2025.0.2 | "
|
|
"intel-cmplr-lib-ur==2025.0.2 | "
|
|
"intel-cmplr-lic-rt==2025.0.2 | "
|
|
"intel-sycl-rt==2025.0.2 | "
|
|
"tcmlib==1.2.0 | "
|
|
"umf==0.9.1 | "
|
|
"intel-pti==0.10.0; platform_system == 'Linux' and platform_machine == 'x86_64'"
|
|
),
|
|
}
|
|
|
|
|
|
def get_nccl_submodule_version() -> str:
|
|
from pathlib import Path
|
|
|
|
nccl_version_mk = (
|
|
Path(__file__).absolute().parent.parent.parent
|
|
/ "third_party"
|
|
/ "nccl"
|
|
/ "nccl"
|
|
/ "makefiles"
|
|
/ "version.mk"
|
|
)
|
|
if not nccl_version_mk.exists():
|
|
raise RuntimeError(
|
|
"Please make sure that nccl submodule is checked out when importing this script"
|
|
)
|
|
with nccl_version_mk.open("r") as f:
|
|
content = f.read()
|
|
d = {}
|
|
for l in content.split("\n"):
|
|
if not l.startswith("NCCL_"):
|
|
continue
|
|
(k, v) = l.split(":=")
|
|
d[k.strip()] = v.strip()
|
|
return f"{d['NCCL_MAJOR']}.{d['NCCL_MINOR']}.{d['NCCL_PATCH']}"
|
|
|
|
|
|
def get_nccl_wheel_version(arch_version: str) -> str:
|
|
import re
|
|
|
|
requirements = map(
|
|
str.strip, re.split("[;|]", PYTORCH_EXTRA_INSTALL_REQUIREMENTS[arch_version])
|
|
)
|
|
return next(x for x in requirements if x.startswith("nvidia-nccl-cu")).split("==")[
|
|
1
|
|
]
|
|
|
|
|
|
def validate_nccl_dep_consistency(arch_version: str) -> None:
|
|
wheel_ver = get_nccl_wheel_version(arch_version)
|
|
submodule_ver = get_nccl_submodule_version()
|
|
if wheel_ver != submodule_ver:
|
|
raise RuntimeError(
|
|
f"NCCL submodule version {submodule_ver} differs from wheel version {wheel_ver}"
|
|
)
|
|
|
|
|
|
def arch_type(arch_version: str) -> str:
|
|
if arch_version in CUDA_ARCHES:
|
|
return "cuda"
|
|
elif arch_version in ROCM_ARCHES:
|
|
return "rocm"
|
|
elif arch_version in XPU_ARCHES:
|
|
return "xpu"
|
|
elif arch_version in CPU_CXX11_ABI_ARCH:
|
|
return "cpu-cxx11-abi"
|
|
elif arch_version in CPU_AARCH64_ARCH:
|
|
return "cpu-aarch64"
|
|
elif arch_version in CPU_S390X_ARCH:
|
|
return "cpu-s390x"
|
|
elif arch_version in CUDA_AARCH64_ARCH:
|
|
return "cuda-aarch64"
|
|
else: # arch_version should always be "cpu" in this case
|
|
return "cpu"
|
|
|
|
|
|
# This can be updated to the release version when cutting release branch, i.e. 2.1
|
|
DEFAULT_TAG = os.getenv("RELEASE_VERSION_TAG", "main")
|
|
|
|
WHEEL_CONTAINER_IMAGES = {
|
|
**{
|
|
gpu_arch: f"pytorch/manylinux2_28-builder:cuda{gpu_arch}-{DEFAULT_TAG}"
|
|
for gpu_arch in CUDA_ARCHES
|
|
},
|
|
**{
|
|
gpu_arch: f"pytorch/manylinux2_28-builder:rocm{gpu_arch}-{DEFAULT_TAG}"
|
|
for gpu_arch in ROCM_ARCHES
|
|
},
|
|
"xpu": f"pytorch/manylinux2_28-builder:xpu-{DEFAULT_TAG}",
|
|
"cpu": f"pytorch/manylinux2_28-builder:cpu-{DEFAULT_TAG}",
|
|
"cpu-cxx11-abi": f"pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-{DEFAULT_TAG}",
|
|
"cpu-aarch64": f"pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-{DEFAULT_TAG}",
|
|
"cpu-s390x": f"pytorch/manylinuxs390x-builder:cpu-s390x-{DEFAULT_TAG}",
|
|
"cuda-aarch64": f"pytorch/manylinuxaarch64-builder:cuda12.6-{DEFAULT_TAG}",
|
|
}
|
|
|
|
|
|
PRE_CXX11_ABI = "pre-cxx11"
|
|
CXX11_ABI = "cxx11-abi"
|
|
RELEASE = "release"
|
|
DEBUG = "debug"
|
|
|
|
LIBTORCH_CONTAINER_IMAGES: Dict[Tuple[str, str], str] = {
|
|
**{
|
|
(
|
|
gpu_arch,
|
|
PRE_CXX11_ABI,
|
|
): f"pytorch/manylinux-builder:cuda{gpu_arch}-{DEFAULT_TAG}"
|
|
for gpu_arch in CUDA_ARCHES
|
|
},
|
|
**{
|
|
(
|
|
gpu_arch,
|
|
CXX11_ABI,
|
|
): f"pytorch/libtorch-cxx11-builder:cuda{gpu_arch}-{DEFAULT_TAG}"
|
|
for gpu_arch in CUDA_ARCHES
|
|
},
|
|
**{
|
|
(
|
|
gpu_arch,
|
|
CXX11_ABI,
|
|
): f"pytorch/libtorch-cxx11-builder:rocm{gpu_arch}-{DEFAULT_TAG}"
|
|
for gpu_arch in ROCM_ARCHES
|
|
},
|
|
("cpu", PRE_CXX11_ABI): f"pytorch/manylinux-builder:cpu-{DEFAULT_TAG}",
|
|
("cpu", CXX11_ABI): f"pytorch/libtorch-cxx11-builder:cpu-{DEFAULT_TAG}",
|
|
}
|
|
|
|
FULL_PYTHON_VERSIONS = ["3.9", "3.10", "3.11", "3.12"]
|
|
|
|
|
|
def translate_desired_cuda(gpu_arch_type: str, gpu_arch_version: str) -> str:
|
|
return {
|
|
"cpu": "cpu",
|
|
"cpu-aarch64": "cpu",
|
|
"cpu-cxx11-abi": "cpu-cxx11-abi",
|
|
"cpu-s390x": "cpu",
|
|
"cuda": f"cu{gpu_arch_version.replace('.', '')}",
|
|
"cuda-aarch64": "cu126",
|
|
"rocm": f"rocm{gpu_arch_version}",
|
|
"xpu": "xpu",
|
|
}.get(gpu_arch_type, gpu_arch_version)
|
|
|
|
|
|
def list_without(in_list: List[str], without: List[str]) -> List[str]:
|
|
return [item for item in in_list if item not in without]
|
|
|
|
|
|
def generate_libtorch_matrix(
|
|
os: str,
|
|
abi_version: str,
|
|
arches: Optional[List[str]] = None,
|
|
libtorch_variants: Optional[List[str]] = None,
|
|
) -> List[Dict[str, str]]:
|
|
if arches is None:
|
|
arches = ["cpu"]
|
|
if os == "linux":
|
|
arches += CUDA_ARCHES
|
|
arches += ROCM_ARCHES
|
|
elif os == "windows":
|
|
arches += CUDA_ARCHES
|
|
if libtorch_variants is None:
|
|
libtorch_variants = [
|
|
"shared-with-deps",
|
|
"shared-without-deps",
|
|
"static-with-deps",
|
|
"static-without-deps",
|
|
]
|
|
|
|
ret: List[Dict[str, str]] = []
|
|
for arch_version in arches:
|
|
for libtorch_variant in libtorch_variants:
|
|
# one of the values in the following list must be exactly
|
|
# CXX11_ABI, but the precise value of the other one doesn't
|
|
# matter
|
|
gpu_arch_type = arch_type(arch_version)
|
|
gpu_arch_version = "" if arch_version == "cpu" else arch_version
|
|
# ROCm builds without-deps failed even in ROCm runners; skip for now
|
|
if gpu_arch_type == "rocm" and (
|
|
"without-deps" in libtorch_variant or "pre-cxx11" in abi_version
|
|
):
|
|
continue
|
|
ret.append(
|
|
{
|
|
"gpu_arch_type": gpu_arch_type,
|
|
"gpu_arch_version": gpu_arch_version,
|
|
"desired_cuda": translate_desired_cuda(
|
|
gpu_arch_type, gpu_arch_version
|
|
),
|
|
"libtorch_variant": libtorch_variant,
|
|
"libtorch_config": abi_version if os == "windows" else "",
|
|
"devtoolset": abi_version if os != "windows" else "",
|
|
"container_image": (
|
|
LIBTORCH_CONTAINER_IMAGES[(arch_version, abi_version)]
|
|
if os != "windows"
|
|
else ""
|
|
),
|
|
"package_type": "libtorch",
|
|
"build_name": f"libtorch-{gpu_arch_type}{gpu_arch_version}-{libtorch_variant}-{abi_version}".replace(
|
|
".", "_"
|
|
),
|
|
}
|
|
)
|
|
return ret
|
|
|
|
|
|
def generate_wheels_matrix(
|
|
os: str,
|
|
arches: Optional[List[str]] = None,
|
|
python_versions: Optional[List[str]] = None,
|
|
use_split_build: bool = False,
|
|
) -> List[Dict[str, str]]:
|
|
package_type = "wheel"
|
|
if os == "linux" or os == "linux-aarch64" or os == "linux-s390x":
|
|
# NOTE: We only build manywheel packages for x86_64 and aarch64 and s390x linux
|
|
package_type = "manywheel"
|
|
|
|
if python_versions is None:
|
|
python_versions = FULL_PYTHON_VERSIONS + ["3.13", "3.13t"]
|
|
|
|
if arches is None:
|
|
# Define default compute archivectures
|
|
arches = ["cpu"]
|
|
if os == "linux":
|
|
arches += CPU_CXX11_ABI_ARCH + CUDA_ARCHES + ROCM_ARCHES + XPU_ARCHES
|
|
elif os == "windows":
|
|
arches += CUDA_ARCHES + XPU_ARCHES
|
|
elif os == "linux-aarch64":
|
|
# Only want the one arch as the CPU type is different and
|
|
# uses different build/test scripts
|
|
arches = ["cpu-aarch64", "cuda-aarch64"]
|
|
elif os == "linux-s390x":
|
|
# Only want the one arch as the CPU type is different and
|
|
# uses different build/test scripts
|
|
arches = ["cpu-s390x"]
|
|
|
|
ret: List[Dict[str, str]] = []
|
|
for python_version in python_versions:
|
|
for arch_version in arches:
|
|
gpu_arch_type = arch_type(arch_version)
|
|
gpu_arch_version = (
|
|
""
|
|
if arch_version == "cpu"
|
|
or arch_version == "cpu-cxx11-abi"
|
|
or arch_version == "cpu-aarch64"
|
|
or arch_version == "cpu-s390x"
|
|
or arch_version == "cuda-aarch64"
|
|
or arch_version == "xpu"
|
|
else arch_version
|
|
)
|
|
|
|
# TODO: Enable python 3.13 on aarch64, windows
|
|
if (
|
|
os
|
|
not in [
|
|
"linux",
|
|
"linux-s390x",
|
|
"linux-aarch64",
|
|
"macos-arm64",
|
|
"windows",
|
|
]
|
|
) and python_version in ["3.13", "3.13t"]:
|
|
continue
|
|
|
|
# TODO: Enable python 3.13t on xpu and cpu-s390x or MacOS or Windows
|
|
if (
|
|
gpu_arch_type in ["xpu", "cpu-s390x"]
|
|
or os == "macos-arm64"
|
|
or os == "linux-aarch64"
|
|
or os == "windows"
|
|
) and python_version == "3.13t":
|
|
continue
|
|
|
|
if use_split_build and (
|
|
arch_version not in ["12.6", "12.4", "11.8", "cpu"] or os != "linux"
|
|
):
|
|
raise RuntimeError(
|
|
"Split build is only supported on linux with cuda 12.6, 12.4, 11.8, and cpu.\n"
|
|
f"Currently attempting to build on arch version {arch_version} and os {os}.\n"
|
|
"Please modify the matrix generation to exclude this combination."
|
|
)
|
|
|
|
# cuda linux wheels require PYTORCH_EXTRA_INSTALL_REQUIREMENTS to install
|
|
|
|
if (
|
|
arch_version in ["12.6", "12.4", "11.8"]
|
|
and os == "linux"
|
|
or arch_version == "cuda-aarch64"
|
|
):
|
|
ret.append(
|
|
{
|
|
"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
|
|
),
|
|
"use_split_build": "True" if use_split_build else "False",
|
|
"devtoolset": "cxx11-abi",
|
|
"container_image": WHEEL_CONTAINER_IMAGES[arch_version],
|
|
"package_type": package_type,
|
|
"pytorch_extra_install_requirements": (
|
|
PYTORCH_EXTRA_INSTALL_REQUIREMENTS[arch_version]
|
|
if os != "linux-aarch64"
|
|
else ""
|
|
),
|
|
"build_name": f"{package_type}-py{python_version}-{gpu_arch_type}{gpu_arch_version}".replace( # noqa: B950
|
|
".", "_"
|
|
),
|
|
}
|
|
)
|
|
# Special build building to use on Colab. Python 3.11 for 12.4 CUDA
|
|
if python_version == "3.11" and arch_version == "12.4":
|
|
ret.append(
|
|
{
|
|
"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
|
|
),
|
|
"use_split_build": "True" if use_split_build else "False",
|
|
"devtoolset": "",
|
|
"container_image": WHEEL_CONTAINER_IMAGES[arch_version],
|
|
"package_type": package_type,
|
|
"pytorch_extra_install_requirements": "",
|
|
"build_name": f"{package_type}-py{python_version}-{gpu_arch_type}{gpu_arch_version}-full".replace( # noqa: B950
|
|
".", "_"
|
|
),
|
|
}
|
|
)
|
|
else:
|
|
ret.append(
|
|
{
|
|
"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
|
|
),
|
|
"use_split_build": "True" if use_split_build else "False",
|
|
"devtoolset": (
|
|
"cxx11-abi"
|
|
if (arch_version in ["cpu-cxx11-abi", "cpu-aarch64"])
|
|
or os == "linux"
|
|
else ""
|
|
),
|
|
"container_image": WHEEL_CONTAINER_IMAGES[arch_version],
|
|
"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 PYTORCH_EXTRA_INSTALL_REQUIREMENTS["12.4"]
|
|
if os != "linux"
|
|
else ""
|
|
),
|
|
}
|
|
)
|
|
|
|
return ret
|
|
|
|
|
|
validate_nccl_dep_consistency("12.6")
|
|
validate_nccl_dep_consistency("12.4")
|
|
validate_nccl_dep_consistency("11.8")
|