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a9c646f6b4
python-torch does not build against Python 3.11. python-torchvision depends on python-torch.
107 lines
3.7 KiB
Diff
107 lines
3.7 KiB
Diff
diff -uNr vision/setup.py vision.mod/setup.py
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--- vision/setup.py 2022-10-07 23:30:59.696293602 +0900
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+++ vision.mod/setup.py 2022-10-08 01:16:59.594996000 +0900
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@@ -6,10 +6,9 @@
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import subprocess
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import sys
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-import torch
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from pkg_resources import parse_version, get_distribution, DistributionNotFound
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from setuptools import setup, find_packages
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-from torch.utils.cpp_extension import BuildExtension, CppExtension, CUDAExtension, CUDA_HOME
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+from setuptools import Extension as CppExtension
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def read(*names, **kwargs):
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@@ -141,11 +140,6 @@
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is_rocm_pytorch = False
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- if torch.__version__ >= "1.5":
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- from torch.utils.cpp_extension import ROCM_HOME
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-
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- is_rocm_pytorch = (torch.version.hip is not None) and (ROCM_HOME is not None)
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-
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if is_rocm_pytorch:
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from torch.utils.hipify import hipify_python
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@@ -182,10 +176,8 @@
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define_macros = []
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- extra_compile_args = {"cxx": []}
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- if (torch.cuda.is_available() and ((CUDA_HOME is not None) or is_rocm_pytorch)) or os.getenv(
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- "FORCE_CUDA", "0"
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- ) == "1":
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+ extra_compile_args = []
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+ if False:
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extension = CUDAExtension
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sources += source_cuda
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if not is_rocm_pytorch:
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@@ -308,11 +300,7 @@
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# Locating nvjpeg
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# Should be included in CUDA_HOME for CUDA >= 10.1, which is the minimum version we have in the CI
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- nvjpeg_found = (
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- extension is CUDAExtension
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- and CUDA_HOME is not None
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- and os.path.exists(os.path.join(CUDA_HOME, "include", "nvjpeg.h"))
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- )
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+ nvjpeg_found = False
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print(f"NVJPEG found: {nvjpeg_found}")
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image_macros += [("NVJPEG_FOUND", str(int(nvjpeg_found)))]
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@@ -340,7 +328,7 @@
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)
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)
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- ffmpeg_exe = shutil.which("ffmpeg")
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+ ffmpeg_exe = "@TERMUX_PREFIX@/bin/ffmpeg"
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has_ffmpeg = ffmpeg_exe is not None
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# FIXME: Building torchvision with ffmpeg on MacOS or with Python 3.9
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# FIXME: causes crash. See the following GitHub issues for more details.
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@@ -348,13 +336,6 @@
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# FIXME: https://github.com/pytorch/vision/issues/3367
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if sys.platform != "linux" or (sys.version_info.major == 3 and sys.version_info.minor == 9):
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has_ffmpeg = False
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- if has_ffmpeg:
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- try:
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- # This is to check if ffmpeg is installed properly.
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- subprocess.check_output(["ffmpeg", "-version"])
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- except subprocess.CalledProcessError:
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- print("Error fetching ffmpeg version, ignoring ffmpeg.")
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- has_ffmpeg = False
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print(f"FFmpeg found: {has_ffmpeg}")
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@@ -435,13 +416,7 @@
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# CUDA_HOME should be set to the cuda root directory.
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# TORCHVISION_INCLUDE and TORCHVISION_LIBRARY should include the location to
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# video codec header files and libraries respectively.
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- video_codec_found = (
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- extension is CUDAExtension
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- and CUDA_HOME is not None
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- and any([os.path.exists(os.path.join(folder, "cuviddec.h")) for folder in vision_include])
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- and any([os.path.exists(os.path.join(folder, "nvcuvid.h")) for folder in vision_include])
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- and any([os.path.exists(os.path.join(folder, "libnvcuvid.so")) for folder in library_dirs])
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- )
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+ video_codec_found = False
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print(f"video codec found: {video_codec_found}")
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@@ -525,14 +500,9 @@
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packages=find_packages(exclude=("test",)),
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package_data={package_name: ["*.dll", "*.dylib", "*.so"]},
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zip_safe=False,
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- install_requires=requirements,
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extras_require={
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"scipy": ["scipy"],
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},
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ext_modules=get_extensions(),
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python_requires=">=3.7",
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- cmdclass={
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- "build_ext": BuildExtension.with_options(no_python_abi_suffix=True),
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- "clean": clean,
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- },
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)
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