Repository: pytorch
Issue: [bug] the LTS torch==1.8.2 pip package is incomplete
Labels: module: cuda,triaged,Stale,module: lts

### 🐛 Describe the bug

I suspect the LTS torch==1.8.2 pip package is incomplete, as it is missing at least libnvrtc-builtins.so.11.1 files.
I followed the instructions to the dot at https://pytorch.org/get-started/locally/
```
pip3 install torch==1.8.2+cu111 torchvision==0.9.2+cu111 torchaudio==0.8.2 -f https://download.pytorch.org/whl/lts/1.8/torch_lts.html
```
is missing these files. With this I get:
```
RuntimeError: The following operation failed in the TorchScript interpreter.
Traceback of TorchScript (most recent call last):
RuntimeError: nvrtc: error: failed to open libnvrtc-builtins.so.11.1.
```
when using Megatron-LM
and conda installs these just fine:

```
conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch-lts -c nvidia
```
and then all works.

I normally use pt-1.10 now, but needed to check whether my change still worked in pt-1.8.

Thanks.


### Versions

Collecting environment information...
PyTorch version: 1.11.0.dev20211208
Is debug build: False
CUDA used to build PyTorch: 11.3
ROCM used to build PyTorch: N/A

OS: Ubuntu 20.04.3 LTS (x86_64)
GCC version: (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0
Clang version: 10.0.0-4ubuntu1 
CMake version: version 3.21.3
Libc version: glibc-2.31

Python version: 3.8.12 (default, Oct 12 2021, 13:49:34)  [GCC 7.5.0] (64-bit runtime)
Python platform: Linux-5.4.0-90-generic-x86_64-with-glibc2.17
Is CUDA available: True
CUDA runtime version: 11.5.119
GPU models and configuration:
GPU 0: NVIDIA GeForce GTX 1070 Ti
GPU 1: NVIDIA GeForce RTX 3090

Nvidia driver version: 495.29.05
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.7.6.5
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.3.1
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.3.1
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.3.1
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.3.1
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.3.1
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.3.1
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.3.1
HIP runtime version: N/A
MIOpen runtime version: N/A

Versions of relevant libraries:
[pip3] mypy-extensions==0.4.3
[pip3] numpy==1.21.2
[pip3] torch==1.11.0.dev20211208+cu113
[pip3] torchaudio==0.11.0.dev20211208+cu113
[pip3] torchvision==0.12.0.dev20211208+cu113
[conda] blas                      1.0                         mkl
[conda] cudatoolkit               11.3.1               h2bc3f7f_2
[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] mypy-extensions           0.4.3                    pypi_0    pypi
[conda] numpy                     1.20.3                   pypi_0    pypi
[conda] numpy-base                1.21.2           py38h79a1101_0
[conda] pytorch                   1.11.0.dev20211208 py3.8_cuda11.3_cudnn8.2.0_0    pytorch-nightly
[conda] pytorch-mutex             1.0                        cuda    pytorch-nightly
[conda] torch                     1.11.0.dev20211208+cu113          pypi_0    pypi
[conda] torchaudio                0.11.0.dev20211208+cu113          pypi_0    pypi
[conda] torchvision               0.12.0.dev20211208+cu113          pypi_0    pypi

cc @ngimel