TensorFlow 1 version | 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
@staticmethodfrom_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.
TensorFlow 1 version
View source on GitHub