RuntimeError: Not compiled with GPU decoder support.

🐛 Describe the bug

When I use the following command, I get an error:
“”“
import torchvision
reader = torchvision.io.VideoReader('/home/ljf/vision/test4.mp4', device='cuda:0')
”“”
“”“
Traceback (most recent call last):
File "", line 1, in
File "/home/ljf/vision/torchvision/io/video_reader.py", line 97, in init
raise RuntimeError("Not compiled with GPU decoder support.")
RuntimeError: Not compiled with GPU decoder support.
”“”

I compile and install torchvision based on the following steps:
"""
conda uninstall ffmpeg
pip uninstall torchvision

export TORCHVISION_INCLUDE=/home/ljf/Video_Codec_SDK_11.1.5/Interface/
export TORCHVISION_LIBRARY=/home/ljf/Video_Codec_SDK_11.1.5/Lib/linux/stubs/x86_64/

conda install -c conda-forge ffmpeg
export CUDA_HOME=/usr/local/cuda-11.3

python setup.py install
"""
The entire process of compiling and installing did not report any errors.
I don't know why I can't read the video stream using cuda.

Versions

root@b0b26070e5b8:/home/ljf/pytorch/torch/utils# python collect_env.py
Collecting environment information...
PyTorch version: 1.11.0
Is debug build: False
CUDA used to build PyTorch: 11.3
ROCM used to build PyTorch: N/A

OS: Ubuntu 18.04.6 LTS (x86_64)
GCC version: (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.27

Python version: 3.8.12 (default, Oct 12 2021, 13:49:34) [GCC 7.5.0] (64-bit runtime)
Python platform: Linux-5.11.0-49-generic-x86_64-with-glibc2.17
Is CUDA available: True
CUDA runtime version: 11.3.109
GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3060
Nvidia driver version: 470.86
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.2.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.2.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.2.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.2.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.2.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.2.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.2.0
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

Versions of relevant libraries:
[pip3] numpy==1.21.2
[pip3] torch==1.11.0
[pip3] torchelastic==0.2.2
[pip3] torchtext==0.12.0
[pip3] torchvision==0.14.0a0
[conda] blas 1.0 mkl
[conda] cudatoolkit 11.3.1 ha36c431_9 nvidia
[conda] mkl 2021.4.0 h06a4308_640
[conda] mkl-service 2.4.0 py38h7f8727e_0
[conda] mkl_fft 1.3.1 py38hd3c417c_0
[conda] mkl_random 1.2.2 py38h51133e4_0
[conda] numpy 1.21.2 py38h20f2e39_0
[conda] numpy-base 1.21.2 py38h79a1101_0
[conda] pytorch 1.11.0 py3.8_cuda11.3_cudnn8.2.0_0 pytorch
[conda] pytorch-mutex 1.0 cuda pytorch
[conda] torchelastic 0.2.2 pypi_0 pypi
[conda] torchtext 0.12.0 py38 pytorch
[conda] torchvision 0.14.0a0 pypi_0 pypi