Stuck on an issue?

Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.

And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.

Download link for torchtext==0.5.0 wheel is broken

See original GitHub issue

🐛 Bug

Download link for torchtext==0.5.0 wheel is broken.

To Reproduce

Try to download https://download.pytorch.org/whl/torchtext-0.5.0-py3-none-any.whl

Additional context

Link was scraped from https://download.pytorch.org/whl/torch_stable.html
For torchtext==0.6.0 the link is working as expected: https://download.pytorch.org/whl/torchtext-0.6.0-py3-none-any.whl
Installation of torchtext==0.5.0 with pip is working as expected.

Issue Analytics

State:
Created 3 years ago
Comments:8 (6 by maintainers)

Top GitHub Comments

1reaction

parmeetcommented, May 3, 2021

Great, download link seems to work now. thanks @seemethere

1reaction

seemetherecommented, May 3, 2021

For some reason it looks like the object in S3 was set to private. I’ve made it public, can you try it again?

Should be fixed now, can you try?

Top Results From Across the Web

S3 wheels are broken #558 - facebookresearch/pytorch3d

Bugs / Unexpected behaviors. I tried to install pytorch3d in colab, it was installed with no errors, but then during imports produces errors...

torchtext - PyPI

torchtext. This repository consists of: torchtext.datasets: The raw text iterators for common NLP datasets. torchtext.data: Some basic NLP building blocks.

PyTorch wheel for JetPack 4.6.1 missing from Nvidia servers

I was able to guess that the wheel is available from this directory but the download link 404s. https://developer.download.nvidia.com/compute/ ...

Install PyTorch on Jetson Nano - Q-engineering

A thorough guide on how to install PyTorch 1.8.1 on your Jetson Nano with CUDA support. Build with pip or from source code...

Torchtext 0.13.0 documentation - PyTorch

We also expect to maintain backwards compatibility (although breaking changes can happen and notice will be given one release ahead of time).