tf.TensorSpec

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Describes a tf.Tensor.

Inherits From: TypeSpec

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.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

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@classmethod
from_spec(
    spec, name=None
)

from_tensor

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@classmethod
from_tensor(
    tensor, name=None
)

is_compatible_with

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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

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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.