Source code for cerebras.modelzoo.trainer.callbacks.selective_grad

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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)