def sparse_categorical_crossentropy(output, target, from_logits=False):
target = T.cast(T.flatten(target), 'int32')
target = T.extra_ops.to_one_hot(target, nb_class=output.shape[-1])
target = reshape(target, shape(output))
return categorical_crossentropy(output, target, from_logits)
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