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Represents a client computation that produces an update to a model.

variables Returns all the variables of this object.

Note this only includes variables that are part of the state of this object, and not the model variables themselves.



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Defines the complete client computation.

Typically implementations should be decorated with tf.function.

dataset a producing batches than can be fed to tff.learning.Model.forward_pass.
initial_weights a dictionary of initial values for all trainable and non-trainable model variables, keyed by name. This will be supplied by the server in Federated Averaging.

An optimizer_utils.ClientOutput namedtuple.