arrayfire / arrayfire/arrayfire-python
ParallelRange with Sliced Matrix
- Dominant language
- Python
- Stars
- 422
- Forks
- 63
- PR merge metrics
- No merged PRs in 30d
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
```
Contributor guide
No contributing guide indexed for this repository
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.
Assessment
- Tech stack
- python
- Domain
- backend, hpc
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 38/100