tf.IndexedSlicesSpec

TensorFlow 1 version View source on GitHub

Type specification for a tf.IndexedSlices.

Inherits From: TypeSpec

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

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.

value_type

Methods

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.

__eq__

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__eq__(
    other
)

Return self==value.

__ne__

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__ne__(
    other
)

Return self!=value.