ad99af7be7a97407954d00a76fb9d46ce0932dfb,keras/layers/recurrent.py,BaseRecurrent,get_padded_shuffled_mask,#BaseRecurrent#Any#Any#Any#,19

Before Change

        if pad > 0:
            // left-pad in time with 0
            padding = alloc_zeros_matrix(pad, mask.shape[1], 1).astype("uint8")
            return T.concatenate([padding, mask], axis=0)
        return mask


class SimpleRNN(BaseRecurrent):

After Change

        if pad > 0:
            // left-pad in time with 0
            padding = alloc_zeros_matrix(pad, mask.shape[1], 1)
            mask = T.concatenate([padding, mask], axis=0)
        return mask.astype("int8")


class SimpleRNN(BaseRecurrent):

Instances