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
(grad_y,
x,
scale,
pop_mean,
pop_var,
epsilon,
data_format,
is_training=True)
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