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Keyword arguments for liger functional #368
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CE is fixed by #375. But need to add functional wrapper for other modules |
I can take this one 😄 |
This was referenced Nov 20, 2024
ByronHsu
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Nov 21, 2024
## Summary <!--- This is a required section; please describe the main purpose of this proposed code change. ---> This PR enables the keyword arguments of liger functional #368. <!--- ## Details This is an optional section; is there anything specific that reviewers should be aware of? ---> 1. Warp the Liger Operator Functions (`torch.autograd.Function`) with an extra layer that can take key word arguments. 2. For each of the liger functions, updating its unit test function `test_{operator_name}.py::test_correctness_functional` to reflect that keyword args can be accepted. ## Testing Done <!--- This is a required section; please describe how this change was tested. ---> <!-- Replace BLANK with your device type. For example, A100-80G-PCIe Complete the following tasks before sending your PR, and replace `[ ]` with `[x]` to indicate you have done them. --> - Hardware Type: A10G - [x] run `make test` to ensure correctness - [x] run `make checkstyle` to ensure code style - [x] run `make test-convergence` to ensure convergence --------- Signed-off-by: Hongpeng Guo <[email protected]> Co-authored-by: Byron Hsu <[email protected]>
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🚀 The feature, motivation and pitch
Liger's functional doesn't support keyword arguments because it's implemented by replacing
torchautograd.Function.apply
.kwargs support is necessary for LigerCrossEntropyLoss to patch transformers model after GA fix
https://github.com/huggingface/transformers/blob/a06a0d12636756352494b99b5b264ac9955bc735/src/transformers/models/llama/modeling_llama.py#L1224
Alternatives
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Additional context
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