tf.ragged.boolean

TensorFlow 1 version

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Applies op to the values of one or more RaggedTensors.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.ragged.map_flat_values

tf.ragged.map_flat_values(
    op, *args, **kwargs
)

Used in the notebooks

Used in the guide	Used in the tutorials
Ragged tensors

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.

Examples:

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]]

Args
`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 `RaggedTensor`s' `flat_values` tensors.
`*args`	Arguments for `op`.
`**kwargs`	Keyword arguments for `op`.

Returns
A `RaggedTensor` whose `ragged_rank` matches the `ragged_rank` of all input `RaggedTensor`s.

Raises
`ValueError`	If args contains no `RaggedTensors`, or if the `nested_splits` of the input `RaggedTensor`s are not identical.

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tf.ragged / boolean_mask

View aliases

Used in the notebooks

Examples:

Args

Returns

Raises