tf.TensorSpec

Describes a tf.Tensor.

Main aliases

`tf.contrib.eager.TensorSpec`, `tf.contrib.framework.TensorSpec`

Compat aliases for migration

tf.compat.v1.TensorSpec, `tf.compat.v2.TensorSpec`

tf.TensorSpec(
    shape, dtype=tf.dtypes.float32, name=None
)

Metadata for describing the tf.Tensor objects accepted or returned by some TensorFlow APIs.

Args
`shape`	Value convertible to `tf.TensorShape`. The shape of the tensor.
`dtype`	Value convertible to `tf.DType`. The type of the tensor values.
`name`	Optional name for the Tensor.

Raises
`TypeError`	If shape is not convertible to a `tf.TensorShape`, or dtype is not convertible to a `tf.DType`.

Attributes
`dtype`	Returns the `dtype` of elements in the tensor.
`name`	Returns the (optionally provided) name of the described tensor.
`shape`	Returns the `TensorShape` that represents the shape of the tensor.
`value_type`

Methods

@classmethod
from_spec(
    spec, name=None
)

@classmethod
from_tensor(
    tensor, name=None
)

is_compatible_with(
    spec_or_tensor
)

Returns True if spec_or_tensor is compatible with this TensorSpec.

Two tensors are considered compatible if they have the same dtype and their shapes are compatible (see tf.TensorShape.is_compatible_with).

Args
`spec_or_tensor`	A tf.TensorSpec or a tf.Tensor

Returns
True if spec_or_tensor is compatible with self.

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/TensorSpec