tf.RaggedTensorSpec

TensorFlow 1 version View source on GitHub

Type specification for a tf.RaggedTensor.

tf.RaggedTensorSpec(
    shape=None, dtype=tf.dtypes.float32, ragged_rank=None,
    row_splits_dtype=tf.dtypes.int64
)

Args:

  • 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.

Attributes:

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

Methods

__eq__

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__eq__(
    other
)

Return self==value.

__ne__

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__ne__(
    other
)

Return self!=value.

from_value

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@classmethod
from_value(
    value
)

is_compatible_with

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is_compatible_with(
    spec_or_value
)

Returns true if spec_or_value is compatible with this TypeSpec.

most_specific_compatible_type

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most_specific_compatible_type(
    other
)

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.