hotfix for PT1.6 and torchtext

[Borda]

What does this PR do?

Installing collected packages: torch, torchtext
  WARNING: The scripts convert-caffe2-to-onnx and convert-onnx-to-caffe2 are installed in '/home/AzDevOps_azpcontainer/.local/bin' which is not on PATH.
  Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
torchvision 0.7.0 requires torch==1.6.0, but you have torch 1.7.1 which is incompatible.

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[codecov]

Codecov Report

Merging #6323 (59ee024) into master (dcec4ef) will decrease coverage by 0%.
The diff coverage is 88%.

@@          Coverage Diff           @@
##           master   #6323   +/-   ##
======================================
- Coverage      91%     91%   -0%     
======================================
  Files         160     160           
  Lines       11398   11408   +10     
======================================
+ Hits        10376   10377    +1     
- Misses       1022    1031    +9     

[Borda]

the remaining failers are unrelated to this change
also, this dependency shall be properly resolved in the docker build

[Borda]

so the last missing is TPU @tchaton

[Borda]

 # TorchVision hotfix https://github.com/pytorch/vision/issues/1938
 from syft.util import get_root_data_path
 from six.moves import urllib
 opener = urllib.request.build_opener()
 opener.addheaders = [(\"User-agent\", \"Mozilla/5.0\")]
 urllib.request.install_opener(opener)

[carmocca]

Any idea about this? I can have a look... but should have anything to do with torchtext 🤔

[Borda]

no, it is unrelated and even the check details can't be found in codebase

[Borda]

@tchaton the download shall be simply fixed by catching download fails
https://github.com/PyTorchLightning/pytorch-lightning/blob/6166f46281d77830cf88b1cb8dc050c0312fcfcf/pl_examples/basic_examples/autoencoder.py#L29