Add TVD Loss Kernel #324
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Add TVD Loss Kernel #324
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@ByronHsu @qingquansong @lancerts Please let me know if any changes are required. |
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yundai424
reviewed
Nov 8, 2024
test/transformers/test_tvd.py
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| pytest.param( | ||
| torch.bfloat16, | ||
| 1e-8, | ||
| 5e-2, |
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could you help to experiment what is the lowest rtol that will not fail this test for bf16? Thanks!
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@yundai424 Please ignore previous comment. 1e-6 is the lowest rtol which is not failing.
qingquansong
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Nov 8, 2024
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Thanks for the efforts! Could you also add this to the init function in transformers folder as well same as JSD? https://github.com/linkedin/Liger-Kernel/blob/main/src/liger_kernel/transformers/__init__.py#L10
Tcc0403
reviewed
Nov 8, 2024
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@yundai424 @Tcc0403 @qingquansong @ByronHsu I have made the changes as per the comments. Let me know if any further changes are required. Thanks! |
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Summary
Resolves #281. Implements the TVD (Total Variation Distance) kernel by computing both the loss and gradient in the forward pass.
Testing Done
Implemented tests to verify that the results of the forward and backward passes match the Torch implementation. Additionally, added a script to benchmark the memory usage and speed of the Liger implementation compared to Torch, with the results shown below.
make testto ensure correctnessmake checkstyleto ensure code stylemake test-convergenceto ensure convergence