Repository: pytorch
Issue: Wrong PyTorch version in Docker image
Labels: triaged,module: docker,Stale

### 🐛 Describe the bug

I am trying to run the Docker image containing **PyTorch 1.9.1**: [pytorch/pytorch:1.9.1-cuda11.1-cudnn8-devel](https://hub.docker.com/layers/pytorch/pytorch/1.9.1-cuda11.1-cudnn8-devel/images/sha256-fd8fcd6e1196d8965657b04e7dfb666046063904b767c1fd75df8039fe0ada17)

```bash
docker run -it --rm pytorch/pytorch:1.9.1-cuda11.1-cudnn8-devel
```

But, when I check the packages available with `conda list`, I see that **PyTorch 1.10.0** is installed:
```bash
[...]
pytorch                   1.10.0          py3.7_cuda11.1_cudnn8.0.5_0    pytorch
pytorch-mutex             1.0                        cuda    pytorch
[...]
torchtext                 0.11.0                     py37    pytorch
torchvision               0.11.1               py37_cu111    pytorch
[...]
```


### Versions

```
Collecting environment information...
PyTorch version: 1.10.0
Is debug build: False
CUDA used to build PyTorch: 11.1
ROCM used to build PyTorch: N/A

OS: Ubuntu 18.04.5 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-2.17

Python version: 3.7.11 (default, Jul 27 2021, 14:32:16)  [GCC 7.5.0] (64-bit runtime)
Python platform: Linux-5.10.76-linuxkit-x86_64-with-debian-buster-sid
Is CUDA available: False
CUDA runtime version: 11.1.105
GPU models and configuration: Could not collect
Nvidia driver version: Could not collect
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.0.5
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.0.5
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.0.5
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.0.5
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.0.5
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.0.5
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.0.5
HIP runtime version: N/A
MIOpen runtime version: N/A

Versions of relevant libraries:
[pip3] numpy==1.21.2
[pip3] torch==1.10.0
[pip3] torchelastic==0.2.0
[pip3] torchtext==0.11.0
[pip3] torchvision==0.11.1
[conda] blas                      1.0                         mkl
[conda] cudatoolkit               11.1.74              h6bb024c_0    nvidia
[conda] ffmpeg                    4.3                  hf484d3e_0    pytorch
[conda] mkl                       2021.4.0           h06a4308_640
[conda] mkl-service               2.4.0            py37h7f8727e_0
[conda] mkl_fft                   1.3.1            py37hd3c417c_0
[conda] mkl_random                1.2.2            py37h51133e4_0
[conda] numpy                     1.21.2           py37h20f2e39_0
[conda] numpy-base                1.21.2           py37h79a1101_0
[conda] pytorch                   1.10.0          py3.7_cuda11.1_cudnn8.0.5_0    pytorch
[conda] pytorch-mutex             1.0                        cuda    pytorch
[conda] torchelastic              0.2.0                    pypi_0    pypi
[conda] torchtext                 0.11.0                     py37    pytorch
[conda] torchvision               0.11.1               py37_cu111    pytorch
```