INNER CODE UNIT · Python

one_hot

lucidrains/vector-quantize-pytorch · vector_quantize_pytorch/binary_mapper.py:180

            one_hot = one_hot + soft_G - soft_G.detach()

        # inverse pack

        one_hot = inverse_pack_lead_dims(one_hot)
        indices = inverse_pack_lead_dims(indices, '*')

        # returning

        if not return_indices:
            return one_hot, aux_kl_loss

        # also allow for returning indices, even though it can be derived from sparse output with an argmax

        return one_hot, indices, aux_kl_loss

# allow for quick copy paste

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