[contrib/ASP] Question about Sparsity performance use case
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Description
I am trying to run ASP toy_problem.py. It seems nothing changes.
Is there any method for seeing performance gain?
I am comparing train_loop/arg.num_xxx_steps for dense and sparse.
It seems few percentage changes.
Another document for sparsity says, 50% performance gain on BERT (on MLPerf).
But toy_problem.py seems no effect for sparsity.
Of course BERT uses TensorRT for MLPerf, I understand software interface is different.
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Research direction
Start by running toy_problem.py and comparing the dense and sparse cases using train_loop/arg.num_xxx_steps, as described in the issue. Check how the ASP sparsity example measures performance and determine what evidence would demonstrate a gain; the issue does not name a file to change or define a concrete acceptance criterion.
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Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning, performance
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100