tf.RaggedTensorSpec

TensorFlow 2 version View source on GitHub

Type specification for a tf.RaggedTensor.

shape The shape of the RaggedTensor, or None to allow any shape. If a shape is specified, then all ragged dimensions must have size None.
dtype tf.DType of values in the RaggedTensor.
ragged_rank Python integer, the ragged rank of the RaggedTensor to be described. Defaults to shape.ndims - 1.
row_splits_dtype dtype for the RaggedTensor's row_splits tensor. One of tf.int32 or tf.int64.

value_type The Python type for values that are compatible with this TypeSpec.

Methods

from_value

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is_compatible_with

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Returns true if spec_or_value is compatible with this TypeSpec.

most_specific_compatible_type

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Returns the most specific TypeSpec compatible with self and other.

Args
other A TypeSpec.

Raises
ValueError If there is no TypeSpec that is compatible with both self and other.

__eq__

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Return self==value.

__ne__

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Return self!=value.