Update vit.py to include LayerNorm in the MLP head which is missing #317
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I have included the LayerNorm layer in the classification head, which needed to be added to the implementation. Also, an unnecessary layer norm was included, which I have removed. For reference, you have included LayerNorm in the ditill_mlp attribute of the class DistillWrapper in distill.py. Thank you.
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@vivekh2000 hey Vivek, thanks for this PR so i think the layernorm should be kept at its current position, as most transformers these days end with a final norm will definitely remove the layernorm from the distill wrapper though (or make it an option, in the case that some of the variants do not have the final norm) |
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I have included the
LayerNormlayer in the classification head to identify it with the original implementation. It will be easy to compare now.Also, an isolated
LayerNormwas included, which I have removed and inserted in the MLP head, again to make it more intuitive. For reference, you have includedLayerNormin theself.ditill_mlpattribute of theclass DistillWrapperindistill.py.I hope these changes are acceptable.Thank you for the excellent code base.