TensorFlow 1 version
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    View source on GitHub
  
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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
 | 
|
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