# Copyright 2022 Cerebras Systems.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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"""Contains the SelectiveGrad callback class."""
from cerebras.modelzoo.trainer.callbacks import Callback
[docs]class SelectiveGrad(Callback):
"""Callback class that selectively applies gradient computation."""
def __init__(self, selective_grads: dict):
"""SelectiveGrad may be initialized with a configuration dictionary or
keyword arguments.
Args:
selective_grads: Configuration for selective gradient computation.
"""
if selective_grads:
# TODO: Move this configure_selective_gradient function to this file
from cerebras.modelzoo.common.utils.utils import (
configure_selective_gradient,
)
self.selective_grads = configure_selective_gradient(selective_grads)
else:
self.selective_grads = []
[docs] def setup(self, trainer):
for selective_grad in self.selective_grads:
trainer.model.apply(selective_grad)