tf.keras.Operation

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.Operation

tf.keras.Operation(
    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

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call(
    *args, **kwargs
)

compute_output_spec

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compute_output_spec(
    *args, **kwargs
)

from_config

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@classmethod
from_config(
    config
)

Creates an operation from its config.

This method is the reverse of get_config, capable of instantiating the same operation from the config dictionary.

Note: If you override this method, you might receive a serialized dtype config, which is a dict. You can deserialize it as follows:

if "dtype" in config and isinstance(config["dtype"], dict):
    policy = dtype_policies.deserialize(config["dtype"])

Args
config	A Python dictionary, typically the output of get_config.

Returns
An operation instance.

get_config

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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

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quantized_call(
    *args, **kwargs
)

rematerialized_call

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rematerialized_call(
    fn, *args, **kwargs
)

Enable rematerialization dynamically for an operation's call method.

Args
fn	The original call or quantized_call method of an operation.

Returns
Rematerialized method.

symbolic_call

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symbolic_call(
    *args, **kwargs
)

__call__

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__call__(
    *args, **kwargs
)

Call self as a function.