--- ./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,
         },
     )