tf.SparseTensorSpec

Type specification for a tf.SparseTensor.

Compat aliases for migration

tf.compat.v1.SparseTensorSpec, `tf.compat.v2.SparseTensorSpec`

tf.SparseTensorSpec(
    shape=None, dtype=tf.dtypes.float32
)

Args
`shape`	The dense shape of the `SparseTensor`, or `None` to allow any dense shape.
`dtype`	`tf.DType` of values in the `SparseTensor`.

Attributes
`dtype`	The `tf.dtypes.DType` specified by this type for the SparseTensor.
`shape`	The `tf.TensorShape` specified by this type for the SparseTensor.
`value_type`

Methods

@classmethod
from_value(
    value
)

is_compatible_with(
    spec_or_value
)

Returns true if spec_or_value is compatible with this TypeSpec.

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__(
    other
)

Return self==value.

__ne__(
    other
)

Return self!=value.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/SparseTensorSpec