tf.TensorArraySpec
| View source on GitHub |
Type specification for a tf.TensorArray.
Inherits From: TypeSpec
tf.TensorArraySpec(
element_shape=None, dtype=tf.dtypes.float32, dynamic_size=False,
infer_shape=True
)
| Args | |
|---|---|
element_shape | The shape of each element in the TensorArray. |
dtype | Data type of the TensorArray. |
dynamic_size | Whether the TensorArray can grow past its initial size. |
infer_shape | Whether shape inference is enabled. |
| Attributes | |
|---|---|
value_type | |
Methods
from_value
@staticmethod
from_value(
value
)
is_compatible_with
is_compatible_with(
other
)
Returns true if spec_or_value is compatible with this TypeSpec.
most_specific_compatible_type
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__
__eq__(
other
)
Return self==value.
__ne__
__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/r2.4/api_docs/python/tf/TensorArraySpec
