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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 |
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/r2.3/api_docs/python/tf/TensorArraySpec