def make_optimizer(self):
"""Optimizer initialization.
Called before each training experiene to configure the optimizer.
"""
# we reset the optimizer's state after each experience.
# This allows to add new parameters (new heads) and
# freezing old units during the model's adaptation phase.
reset_optimizer(self.optimizer, self.model)
def make_optimizer(self):
# we reset the optimizer's state after each experience.
# This allows to add new parameters (new heads) and
# freezing old units during the model's adaptation phase.
reset_optimizer(self.optimizer, self.model)
def make_optimizer(self):
reset_optimizer(self.optimizer, self.model)