def transform_normalize_unicode(source, form, name=None):
    """Normalize unicode strings tensor.

    Args:
        source: `Tensor` or `SparseTensor` of any shape, strings to normalize.
        form: Scalar value, name of normalization algorithm.
            One of `"NFD"`, `"NFC"`, `"NFKD"`, `"NFKC"`.
        name: A name for the operation (optional).
    Returns:
        `Tensor` or `SparseTensor` of same shape and size as input.
    """

    with ops.name_scope(name, "TransformNormalizeUnicode", [source]):
        source = convert_to_tensor_or_sparse_tensor(source, dtype=tf.string)
        if isinstance(source, tf.SparseTensor):
            result = tf.SparseTensor(
                indices=source.indices,
                values=ops_module.transform_normalize_unicode(source.values, form),
                dense_shape=source.dense_shape
            )
        else:
            result = ops_module.transform_normalize_unicode(source, form)

        return result
def transform_normalize_unicode ( source , form , name = None ) : with ops . name_scope ( name , "TransformNormalizeUnicode" , [ source ] ) : source = convert_to_tensor_or_sparse_tensor ( source , dtype = tf . string ) if isinstance ( source , tf . SparseTensor ) : result = tf . SparseTensor ( indices = source . indices , values = ops_module . transform_normalize_unicode ( source . values , form ) , dense_shape = source . dense_shape ) else : result = ops_module . transform_normalize_unicode ( source , form ) return result
Normalize unicode strings tensor.

    Args:
        source: `Tensor` or `SparseTensor` of any shape, strings to normalize.
        form: Scalar value, name of normalization algorithm.
            One of `"NFD"`, `"NFC"`, `"NFKD"`, `"NFKC"`.
        name: A name for the operation (optional).
    Returns:
        `Tensor` or `SparseTensor` of same shape and size as input.