tfc.layers.IdentityInitializer | TensorFlow v2.16.1 (original) (raw)
tfc.layers.IdentityInitializer
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Initialize to the identity kernel with the given shape.
View aliases
Main aliases
tfc.layers.IdentityInitializer(
gain=1
)
This creates an n-D kernel suitable for SignalConv* with the requested support that produces an output identical to its input (except possibly at the signal boundaries).
Methods
from_config
@classmethod
from_config( config )
Instantiates an initializer from a configuration dictionary.
Example:
initializer = RandomUniform(-1, 1)
config = initializer.get_config()
initializer = RandomUniform.from_config(config)
| Args | |
|---|---|
| config | A Python dictionary, the output of get_config(). |
| Returns |
|---|
| An Initializer instance. |
get_config
get_config()
Returns the initializer's configuration as a JSON-serializable dict.
| Returns |
|---|
| A JSON-serializable Python dict. |
__call__
__call__(
shape, dtype=None, **kwargs
)
Returns a tensor object initialized as specified by the initializer.
| Args | |
|---|---|
| shape | Shape of the tensor. |
| dtype | Optional dtype of the tensor. |
| **kwargs | Additional keyword arguments. |
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Last updated 2024-04-26 UTC.