tf.RaggedTensorType specification for a .

# Aliases:

• Class tf.compat.v1.RaggedTensorSpec
• Class tf.compat.v2.RaggedTensorSpec

# init

View source

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

tf.RaggedTensorConstructs a type specification for a .

# 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.

# Properties

# value_type

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

# Methods

# eq

View source

 __eq__(other)

Return self==value.

# ne

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 __ne__(other)

Return self!=value.

# from_value

View source

 @classmethod
from_value(
    cls,
    value
)

# is_compatible_with

View source

 is_compatible_with(spec_or_value)

Returns true if spec_or_value is compatible with this TypeSpec.

# most_specific_compatible_type

View source

 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.