chore(x11/python-torch): Move to x11-packages for opencv-qt5 addition

x11-packages/python-torchvision/setup.py.patch

@@ -0,0 +1,99 @@
+--- ./setup.py.orig
++++ ./setup.py
+@@ -6,10 +6,9 @@
+ import subprocess
+ import sys
+ 
+-import torch
+ from pkg_resources import DistributionNotFound, get_distribution, parse_version
+ from setuptools import find_packages, setup
+-from torch.utils.cpp_extension import BuildExtension, CppExtension, CUDA_HOME, CUDAExtension
++from setuptools import Extension as CppExtension
+ 
+ 
+ def read(*names, **kwargs):
+@@ -159,11 +158,6 @@
+ 
+     is_rocm_pytorch = False
+ 
+-    if torch.__version__ >= "1.5":
+-        from torch.utils.cpp_extension import ROCM_HOME
+-
+-        is_rocm_pytorch = (torch.version.hip is not None) and (ROCM_HOME is not None)
+-
+     if is_rocm_pytorch:
+         from torch.utils.hipify import hipify_python
+ 
+@@ -189,7 +183,7 @@
+     define_macros = []
+ 
+-    extra_compile_args = {"cxx": []}
+-    if (torch.cuda.is_available() and ((CUDA_HOME is not None) or is_rocm_pytorch)) or force_cuda:
++    extra_compile_args = {}
++    if False:
+         extension = CUDAExtension
+         sources += source_cuda
+         if not is_rocm_pytorch:
+@@ -245,7 +245,7 @@
+         image_macros += [("USE_PYTHON", None)]
+ 
+     # Locating libPNG
+-    libpng = shutil.which("libpng-config")
++    libpng = "@TERMUX_PREFIX@/bin/libpng-config"
+     pngfix = shutil.which("pngfix")
+     png_found = libpng is not None or pngfix is not None
+ 
+@@ -308,11 +302,7 @@
+ 
+     # Locating nvjpeg
+     # Should be included in CUDA_HOME for CUDA >= 10.1, which is the minimum version we have in the CI
+-    nvjpeg_found = (
+-        extension is CUDAExtension
+-        and CUDA_HOME is not None
+-        and os.path.exists(os.path.join(CUDA_HOME, "include", "nvjpeg.h"))
+-    )
++    nvjpeg_found = False
+ 
+     use_nvjpeg = use_nvjpeg and nvjpeg_found
+     if use_nvjpeg:
+@@ -343,7 +333,7 @@
+         )
+ 
+     # Locating ffmpeg
+-    ffmpeg_exe = shutil.which("ffmpeg")
++    ffmpeg_exe = "@TERMUX_PREFIX@/bin/ffmpeg"
+     has_ffmpeg = ffmpeg_exe is not None
+     ffmpeg_version = None
+     # FIXME: Building torchvision with ffmpeg on MacOS or with Python 3.9
+@@ -352,7 +342,7 @@
+     # FIXME: https://github.com/pytorch/vision/issues/3367
+     if sys.platform != "linux" or (sys.version_info.major == 3 and sys.version_info.minor == 9):
+         has_ffmpeg = False
+-    if has_ffmpeg:
++    if False:
+         try:
+             # This is to check if ffmpeg is installed properly.
+             ffmpeg_version = subprocess.check_output(["ffmpeg", "-version"])
+@@ -444,13 +434,7 @@
+     # CUDA_HOME should be set to the cuda root directory.
+     # TORCHVISION_INCLUDE and TORCHVISION_LIBRARY should include the location to
+     # video codec header files and libraries respectively.
+-    video_codec_found = (
+-        extension is CUDAExtension
+-        and CUDA_HOME is not None
+-        and any([os.path.exists(os.path.join(folder, "cuviddec.h")) for folder in vision_include])
+-        and any([os.path.exists(os.path.join(folder, "nvcuvid.h")) for folder in vision_include])
+-        and any([os.path.exists(os.path.join(folder, "libnvcuvid.so")) for folder in library_dirs])
+-    )
++    video_codec_found = False
+ 
+     use_video_codec = use_video_codec and video_codec_found
+     if (
+@@ -547,7 +531,6 @@
+         ext_modules=get_extensions(),
+         python_requires=">=3.8",
+         cmdclass={
+-            "build_ext": BuildExtension.with_options(no_python_abi_suffix=True),
+             "clean": clean,
+         },
+     )