[Discussion] cuda memory optimisation issues
- Dominant language
- Python
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Description
Hey, I require some assistance in building a pipeline that includes `spleeter` audio splitting using the 2stems model.
GPU Spec - `Tesla V100-PCIE-16GB`
I wanted to know, how can we clear up the memory usage caused during the process.
```separator = Separator('spleeter:2stems')```
Is there any way to clear up the memory usage caused by this process so that it can be used later?
Contributor guide
Research direction
Start with the `Separator('spleeter:2stems')` pipeline and reproduce the GPU memory behavior on the stated Tesla V100-PCIE-16GB setup. Determine whether the issue is memory retained after processing or expected model allocation; done would require a documented, reproducible resolution, but this discussion names no files or tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100