AudreyBeard / AudreyBeard/netsounds
divide-by-zero in torch.ifft()
Open
- Dominant language
- Python
- Stars
- 1
- Forks
- 0
- PR merge metrics
- No merged PRs in 30d
Description
in `utils.activations_to_audio()`, there's a stanza for scaling the signal to the open range [-1, 1]. This stanza assumes that `signal.max() - signal.min() > 0`, and so can throw a divide-by-zero error.
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Research direction
Start in utils.activations_to_audio() and inspect the signal-scaling stanza around the signal.max() - signal.min() calculation. Reproduce the constant-signal case, determine the expected output from the surrounding audio conversion behavior, and add or update a focused test so the function no longer raises a divide-by-zero error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 55/100