diff -uNr vision/setup.py vision.mod/setup.py
--- vision/setup.py	2022-10-07 23:30:59.696293602 +0900
+++ vision.mod/setup.py	2022-10-08 01:16:59.594996000 +0900
@@ -6,10 +6,9 @@
 import subprocess
 import sys
 
-import torch
 from pkg_resources import parse_version, get_distribution, DistributionNotFound
 from setuptools import setup, find_packages
-from torch.utils.cpp_extension import BuildExtension, CppExtension, CUDAExtension, CUDA_HOME
+from setuptools import Extension as CppExtension
 
 
 def read(*names, **kwargs):
@@ -141,11 +140,6 @@
 
     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
 
@@ -182,10 +176,8 @@
 
     define_macros = []
 
-    extra_compile_args = {"cxx": []}
-    if (torch.cuda.is_available() and ((CUDA_HOME is not None) or is_rocm_pytorch)) or os.getenv(
-        "FORCE_CUDA", "0"
-    ) == "1":
+    extra_compile_args = []
+    if False:
         extension = CUDAExtension
         sources += source_cuda
         if not is_rocm_pytorch:
@@ -308,11 +300,7 @@
 
     # 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
 
     print(f"NVJPEG found: {nvjpeg_found}")
     image_macros += [("NVJPEG_FOUND", str(int(nvjpeg_found)))]
@@ -340,7 +328,7 @@
             )
         )
 
-    ffmpeg_exe = shutil.which("ffmpeg")
+    ffmpeg_exe = "@TERMUX_PREFIX@/bin/ffmpeg"
     has_ffmpeg = ffmpeg_exe is not None
     # FIXME: Building torchvision with ffmpeg on MacOS or with Python 3.9
     # FIXME: causes crash. See the following GitHub issues for more details.
@@ -348,13 +336,6 @@
     # 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:
-        try:
-            # This is to check if ffmpeg is installed properly.
-            subprocess.check_output(["ffmpeg", "-version"])
-        except subprocess.CalledProcessError:
-            print("Error fetching ffmpeg version, ignoring ffmpeg.")
-            has_ffmpeg = False
 
     print(f"FFmpeg found: {has_ffmpeg}")
 
@@ -435,13 +416,7 @@
     # 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
 
     print(f"video codec found: {video_codec_found}")
 
@@ -525,14 +500,9 @@
         packages=find_packages(exclude=("test",)),
         package_data={package_name: ["*.dll", "*.dylib", "*.so"]},
         zip_safe=False,
-        install_requires=requirements,
         extras_require={
             "scipy": ["scipy"],
         },
         ext_modules=get_extensions(),
         python_requires=">=3.7",
-        cmdclass={
-            "build_ext": BuildExtension.with_options(no_python_abi_suffix=True),
-            "clean": clean,
-        },
     )