Repository: pytorch
Issue: Install PyTorch on Windows with Conda and other Torch packages with cpuonly fails
Labels: module: binaries,triaged

## 🐛 Bug

<!-- A clear and concise description of what the bug is. -->
Installing `pytorch`, `torchaudio` and `torchvision` on CPU with nightly wheels fails as below. I'm attempting to install `torch`, `torchaudio` and `torchvision` together, and I don't believe this is expected behavior.

```
(TESTPy36) C:\Users\mubal>conda install pytorch torchaudio torchvision cpuonly -c pytorch-nightly -y
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: -
Found conflicts! Looking for incompatible packages.
This can take several minutes.  Press CTRL-C to abort.
Examining conflict for torchaudio pytorch torchvision python:  33%|████████████                        | 2/6 [00:00<00:00, 11.56it/s]/
failed

UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:

Specifications:

  - torchaudio -> python[version='>=2.7,<2.8.0a0|>=3.5,<3.6.0a0']
  - torchvision -> python[version='>=2.7,<2.8.0a0|>=3.5,<3.6.0a0']

Your python: python=3.6

If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.

The following specifications were found to be incompatible with each other:

Output in format: Requested package -> Available versions

Package libuv conflicts for:
torchvision -> pytorch==1.10.0.dev20210623 -> libuv[version='>=1.40.0,<2.0a0']
pytorch -> libuv[version='>=1.40.0,<2.0a0']

Package pytorch conflicts for:
torchaudio -> pytorch==1.10.0.dev20210618
torchvision -> pytorch[version='1.10.0.dev20210622|1.10.0.dev20210623|1.9.0.dev20210415|1.8.0.dev20210210|1.8.0.dev20210208']

Package intel-openmp conflicts for:
pytorch -> intel-openmp
pytorch -> mkl[version='>=2018'] -> intel-openmp[version='2018.0.3.*|2019.*|2021.*']

Package zlib conflicts for:
python=3.6 -> sqlite[version='>=3.33.0,<4.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0']
torchvision -> libpng -> zlib[version='>=1.2.11,<1.3.0a0']The following specifications were found to be incompatible with your CUDA driver:

  - feature:/win-64::__cuda==10.1=0
  - feature:|@/win-64::__cuda==10.1=0

Your installed CUDA driver is: 10.1
```

## To Reproduce

Steps to reproduce the behavior:

1. On Windows, in a clean `conda` env, enter: `conda install pytorch torchaudio torchvision cpuonly -c pytorch-nightly -y`
1. View output

<!-- If you have a code sample, error messages, stack traces, please provide it here as well -->

## Expected behavior

<!-- A clear and concise description of what you expected to happen. -->

## Environment

Please copy and paste the output from our
[environment collection script](https://raw.githubusercontent.com/pytorch/pytorch/master/torch/utils/collect_env.py)
(or fill out the checklist below manually).

You can get the script and run it with:
```
wget https://raw.githubusercontent.com/pytorch/pytorch/master/torch/utils/collect_env.py
# For security purposes, please check the contents of collect_env.py before running it.
python collect_env.py
```

PyTorch version: N/A
Is debug build: N/A
CUDA used to build PyTorch: N/A
ROCM used to build PyTorch: N/A

OS: Microsoft Windows 10 Enterprise
GCC version: (x86_64-posix-seh-rev0, Built by MinGW-W64 project) 8.1.0
Clang version: Could not collect
CMake version: version 3.15.2

Python version: 3.6 (64-bit runtime)
Is CUDA available: N/A
CUDA runtime version: 10.1.243
GPU models and configuration: GPU 0: GeForce GTX 1050
Nvidia driver version: 452.57
cuDNN version: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\cudnn64_7.dll
HIP runtime version: N/A
MIOpen runtime version: N/A

Versions of relevant libraries:
[pip] Could not collect
[conda] Could not collect

## Additional context

<!-- Add any other context about the problem here. -->


cc @ezyang @seemethere @malfet @walterddr