build failed
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- Dominant language
- Python
- Stars
- 9k
- Forks
- 1.5k
- Avg merge
- 2d 4h
- Merged PRs (30d)
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Description
CUDA Version: 9.0
PyTorch Version: 1.2.0
because of we have to match the product environment, so we can't change the CUDA or PyTorch version, please help me to look at this problem, many thanks!
the build log is attached:
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the attached build.log alongside the stated CUDA 9.0 and PyTorch 1.2.0 versions to identify the failing build step. Trace that step in the repository's build entry points and verify the result with the same environment; done means Apex builds successfully without changing those pinned versions.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- build-system, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100