Describes a tf.Tensor.
Inherits From: TypeSpec
tf.TensorSpec(
shape, dtype=tf.dtypes.float32, name=None
)
Used in the notebooks
| Used in the guide |
Used in the tutorials |
|
|
|
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.
|
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.
| 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.
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TensorFlow 1 version
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