/TensorFlow 2.4


Applies op to the values of one or more RaggedTensors.

Replaces any RaggedTensor in args or kwargs with its flat_values tensor, and then calls op. Returns a RaggedTensor that is constructed from the input RaggedTensors' nested_row_splits and the value returned by the op.

If the input arguments contain multiple RaggedTensors, then they must have identical nested_row_splits.


rt = tf.ragged.constant([[1, 2, 3], [], [4, 5], [6]])
map_flat_values(tf.ones_like, rt).to_list()
[[1, 1, 1], [], [1, 1], [1]]
map_flat_values(tf.multiply, rt, rt).to_list()
[[1, 4, 9], [], [16, 25], [36]]
map_flat_values(tf.add, rt, 5).to_list()
[[6, 7, 8], [], [9, 10], [11]]
op The operation that should be applied to the RaggedTensor flat_values. op is typically an element-wise operation (such as math_ops.add), but any operation that preserves the size of the outermost dimension can be used. I.e., shape[0] of the value returned by op must match shape[0] of the RaggedTensors' flat_values tensors.
*args Arguments for op.
**kwargs Keyword arguments for op.
A RaggedTensor whose ragged_rank matches the ragged_rank of all input RaggedTensors.
ValueError If args contains no RaggedTensors, or if the nested_splits of the input RaggedTensors are not identical.

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