Returns the gradients for the 3 inputs of BatchNorm. Args: grad_y: A `Tensor` of 4 dimensions for gradient for y. x: A `Tensor` of 4 dimensions for x. scale: A `Tensor` of 1 dimension for scaling. pop_mean: A `Tensor` of 1 dimension for the population mean. Only used when is_train
(grad_y, x, scale, pop_mean, pop_var, epsilon, data_format, is_training=True)
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