ParallelRange with Sliced Matrix
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Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 38/100
Research direction
Start by running the provided ParallelRange reproducer with the sliced right[:,:,ii] input and compare it with the standalone matmul that succeeds. Trace the ParallelRange and matmul entry points to find where the slice dimensions are handled; done means the looped matmul completes without failure and produces the expected result shape.
Written by the indexing model from the issue text.
Description
If you slice a matrix in the ParallelRange matmul does not detect the change in dimension and fails:
res = af.constant(0,20,20,1000 )
left = af.constant(0, 20, 40)
right = af.constant(0, 40,20, 1000)
af.matmul(left, right[:,:,0]) # this works
for ii in af.ParallelRange(10):
res[:,:,ii] = af.matmul(left, right[:,:,ii]) #will fail
- Dominant language
- Python
- Stars
- 422
- Forks
- 63
- PR merge metrics
- No merged PRs in 30d
Contributor guide
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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.
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