tf.keras.Operation
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tf.keras.Operation(
dtype=None, name=None
)
Attributes |
input
|
Retrieves the input tensor(s) of a symbolic operation.
Only returns the tensor(s) corresponding to the first time
the operation was called.
|
output
|
Retrieves the output tensor(s) of a layer.
Only returns the tensor(s) corresponding to the first time
the operation was called.
|
Methods
call
View source
call(
*args, **kwargs
)
compute_output_spec
View source
compute_output_spec(
*args, **kwargs
)
from_config
View source
@classmethod
from_config(
config
)
Creates a layer from its config.
This method is the reverse of get_config
,
capable of instantiating the same layer from the config
dictionary. It does not handle layer connectivity
(handled by Network), nor weights (handled by set_weights
).
Args |
config
|
A Python dictionary, typically the
output of get_config.
|
Returns |
A layer instance.
|
get_config
View source
get_config()
Returns the config of the object.
An object config is a Python dictionary (serializable)
containing the information needed to re-instantiate it.
quantized_call
View source
quantized_call(
*args, **kwargs
)
symbolic_call
View source
symbolic_call(
*args, **kwargs
)
__call__
View source
__call__(
*args, **kwargs
)
Call self as a function.
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Last updated 2024-06-07 UTC.
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