NVIDIA / NVIDIA/apex

CUDA error: misaligned address

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#367 3 comments 0 reactions 0 assignees View on GitHub

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Python
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Description

@mcarilli
Opening a new issue even though it is similar to #124

However we seem to see this error only since the upgrade to the new API.

here is more detail posted by a user https://github.com/OpenNMT/OpenNMT-py/issues/1475
but we encountered the exact same thing at times.
When running in FP32 it goes very fine, switching to AMP we reproduce the same error.
Just in case you have some ideas to debug it.

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Research direction

Start by reading the related issues #124 and #1475, then reproduce the CUDA misaligned-address error described here by comparing FP32 with AMP after the new API upgrade. There is no named file, test, or defined fix in the issue, so completion would require identifying the cause and agreeing on a resolution.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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