For each optimizer, apply the gradient to the variable. Args: lr: A scalar. The base learning rate. var_grad: A `.NestedMap` of (var, grad) pairs. weight: A scalar tensor that stores the weight of the gradients. Returns: The variable update op. Raises: Ex
(self, lr, var_grad, weight=None)
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