tf.TensorSpec

Describes a tf.Tensor.

View aliases

Main aliases

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

Compat aliases for migration

See Migration guide for more details.

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

from_spec

View source

@classmethod
from_spec(
    spec, name=None
)

from_tensor

View source

@classmethod
from_tensor(
    tensor, name=None
)

is_compatible_with

View source

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

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.

__eq__

View source

__eq__(
    other
)

Return self==value.

__ne__

View source

__ne__(
    other
)

Return self!=value.