[Torch] Support SmoothL1 Loss function in torch dialect
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Description
### SmoothL1 Loss function
https://docs.pytorch.org/docs/stable/generated/torch.nn.SmoothL1Loss.html
Smooth L1 loss function can be implemented either by:
1. decomposing it to torch primitive ops
2. using huber loss function
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Read the linked PyTorch SmoothL1Loss reference first, then inspect existing torch dialect support for loss functions and the available Huber or primitive-operation paths. Decide which approach matches the project conventions; done means SmoothL1Loss is supported in the torch dialect with corresponding coverage.
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Assessment
- Tech stack
- cpp, pytorch
- Domain
- compilers
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100