pytorch/.github/scripts/generate_binary_build_matrix.py
atalman 31a6e6cabc Remove cuda 11.5 builds since we have 11.6
CUDA 11.5 was experimental, but now that we are moving to 11.6, we don't need to keep 11.5 around.
Please note following PR's where merged for domain libraries
[vision](https://github.com/pytorch/vision/pull/5862)
[audio](https://github.com/pytorch/audio/pull/2346)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/76257
Approved by: https://github.com/seemethere, https://github.com/malfet
2022-04-23 00:24:58 +00:00

220 lines
7.8 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
"""
from typing import Dict, List, Tuple, Optional
CUDA_ARCHES = ["10.2", "11.3", "11.6"]
ROCM_ARCHES = ["4.5.2", "5.0"]
def arch_type(arch_version: str) -> str:
if arch_version in CUDA_ARCHES:
return "cuda"
elif arch_version in ROCM_ARCHES:
return "rocm"
else: # arch_version should always be "cpu" in this case
return "cpu"
WHEEL_CONTAINER_IMAGES = {
**{
gpu_arch: f"pytorch/manylinux-builder:cuda{gpu_arch}"
for gpu_arch in CUDA_ARCHES
},
**{
gpu_arch: f"pytorch/manylinux-builder:rocm{gpu_arch}"
for gpu_arch in ROCM_ARCHES
},
"cpu": "pytorch/manylinux-builder:cpu",
}
CONDA_CONTAINER_IMAGES = {
**{gpu_arch: f"pytorch/conda-builder:cuda{gpu_arch}" for gpu_arch in CUDA_ARCHES},
"cpu": "pytorch/conda-builder:cpu",
}
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}"
for gpu_arch in CUDA_ARCHES
},
**{
(gpu_arch, CXX11_ABI): f"pytorch/libtorch-cxx11-builder:cuda{gpu_arch}"
for gpu_arch in CUDA_ARCHES
},
**{
(gpu_arch, PRE_CXX11_ABI): f"pytorch/manylinux-builder:rocm{gpu_arch}"
for gpu_arch in ROCM_ARCHES
},
**{
(gpu_arch, CXX11_ABI): f"pytorch/libtorch-cxx11-builder:rocm{gpu_arch}"
for gpu_arch in ROCM_ARCHES
},
("cpu", PRE_CXX11_ABI): "pytorch/manylinux-builder:cpu",
("cpu", CXX11_ABI): "pytorch/libtorch-cxx11-builder:cpu",
}
FULL_PYTHON_VERSIONS = ["3.7", "3.8", "3.9", "3.10"]
def translate_desired_cuda(gpu_arch_type: str, gpu_arch_version: str) -> str:
return {
"cpu": "cpu",
"cuda": f"cu{gpu_arch_version.replace('.', '')}",
"rocm": f"rocm{gpu_arch_version}",
}.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_conda_matrix(os: str) -> List[Dict[str, str]]:
ret: List[Dict[str, str]] = []
arches = ["cpu"]
python_versions = FULL_PYTHON_VERSIONS
if os == "linux":
arches += CUDA_ARCHES
elif os == "windows":
# We don't build CUDA 10.2 for window see https://github.com/pytorch/pytorch/issues/65648
arches += list_without(CUDA_ARCHES, ["10.2"])
elif os == "macos-arm64":
python_versions = list_without(python_versions, ["3.7"])
for python_version in python_versions:
# We don't currently build conda packages for rocm
for arch_version in arches:
gpu_arch_type = arch_type(arch_version)
gpu_arch_version = "" if arch_version == "cpu" else arch_version
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
),
"container_image": CONDA_CONTAINER_IMAGES[arch_version],
"package_type": "conda",
"build_name": f"conda-py{python_version}-{gpu_arch_type}{gpu_arch_version}".replace(
".", "_"
),
}
)
return ret
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":
# We don't build CUDA 10.2 for window see https://github.com/pytorch/pytorch/issues/65648
arches += list_without(CUDA_ARCHES, ["10.2"])
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:
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) -> List[Dict[str, str]]:
package_type = "wheel"
if os == "linux":
# NOTE: We only build manywheel packages for linux
package_type = "manywheel"
if python_versions is None:
# Define default python version
python_versions = FULL_PYTHON_VERSIONS
if os == "macos-arm64":
python_versions = list_without(python_versions, ["3.7"])
if arches is None:
# Define default compute archivectures
arches = ["cpu"]
if os == "linux":
arches += CUDA_ARCHES + ROCM_ARCHES
elif os == "windows":
# We don't build CUDA 10.2 for window see https://github.com/pytorch/pytorch/issues/65648
arches += list_without(CUDA_ARCHES, ["10.2"])
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" else arch_version
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
),
"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(
".", "_"
),
}
)
return ret