Whether to support the conversion torchscript mixing accuracy
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Description
Whether to support the conversion torchscript mixing accuracy?
model.eval()
# An example input you would normally provide to your model's forward() method.
example = torch.rand(1, 3, 224, 224)
# Use torch.jit.trace to generate a torch.jit.ScriptModule via tracing.
traced_script_module = torch.jit.trace(model, example)
traced_script_module.save("model.pt")
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Research direction
Start by reproducing the provided model.eval(), torch.jit.trace(model, example), and traced_script_module.save("model.pt") flow. Then inspect Apex's mixed-precision conversion entry points and existing tests; the issue does not name files or define what support or successful conversion should look like.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100