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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
|
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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.
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| 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.