# Class IndexedSlicesSpec

tf.IndexedSlicesType specification for a .

TypeSpecInherits From:

# Aliases:

• Class tf.compat.v1.IndexedSlicesSpec
• Class tf.compat.v2.IndexedSlicesSpec

# init

View source

 __init__(
    shape=None,
    dtype=tf.dtypes.float32,
    indices_dtype=tf.dtypes.int64,
    dense_shape_dtype=None,
    indices_shape=None
)

tf.IndexedSlicesConstructs a type specification for a .

# Args:

• shape: The dense shape of the IndexedSlices, or None to allow any dense shape.
• dtype: tf.DType of values in the IndexedSlices.
• indices_dtype: tf.DType of the indices in the IndexedSlices. One of tf.int32 or tf.int64.
• dense_shape_dtype: tf.DType of the dense_shape in the IndexedSlices. One of tf.int32, tf.int64, or None (if the IndexedSlices has no dense_shape tensor).
• indices_shape: The shape of the indices component, which indicates how many slices are in the IndexedSlices.

# Properties

# value_type

# Methods

# eq

View source

 __eq__(other)

Return self==value.

# ne

View source

 __ne__(other)

Return self!=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.