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Hi, great job on the FusedLinearCrossEntropy kernel! I’ve found it very efficient for model training. However, it seems to lack support for custom token-wise weighted loss calculation. For instance, users might input a 2D tensor containing individual loss weights for each token and calculate a weighted average loss based on those values. Does this version support that functionality, or is it something that might be added in the future?
Alternatives
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Additional context
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The text was updated successfully, but these errors were encountered:
🚀 The feature, motivation and pitch
Hi, great job on the FusedLinearCrossEntropy kernel! I’ve found it very efficient for model training. However, it seems to lack support for custom token-wise weighted loss calculation. For instance, users might input a 2D tensor containing individual loss weights for each token and calculate a weighted average loss based on those values. Does this version support that functionality, or is it something that might be added in the future?
Alternatives
No response
Additional context
No response
The text was updated successfully, but these errors were encountered: