NVIDIA / NVIDIA/apex

Torch.cat error

Open
#389 2 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
9k
Forks
1.5k
Avg merge
2d 4h
Merged PRs (30d)
3

Description

I want to insert residual layer to neural net.
But I notice below bug in amp.

Out += torch.cat((shortcut, padding),1)

RuntimeError: Expected object of scalar type Half but got scalar type Float for sequence element 1 in sequence argument at position #1 ‘tensors’

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reproducing the reported torch.cat call under AMP with the shortcut and padding tensors, then inspect their scalar types and the surrounding residual-layer setup. The issue is resolved when the reported mixed-precision concatenation no longer raises the Half-versus-Float error in the same scenario.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
machine-learning
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.