Accenture / Accenture/AmpliGraph
eval on generate_corruption...
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- Python
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Description
Hi,
I am trying to generate negative samples using generate_corruptions_for_eval, since it returns a tensor, and when I try to convert it to bumpy using tensor.eval(), it throws exception of out of memory.
I tried it on even small sample, but it has same exception.
Please suggest the solution.
Thanks.
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First steps
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Research direction
Start by reproducing the out-of-memory exception described when calling tensor.eval() on the result of generate_corruptions_for_eval with a small sample. Trace that function's returned tensor and evaluation path, then document a confirmed cause and verifiable resolution; the issue does not name any files or tests.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100