def visualize(self, net_inputs, net_outputs):
# input a batch of training examples of form [Tensor1, Tensor2, ... Tensor_n]
# net_inputs: usually images; net_outputs: usually the labels
# this function visualize the data that is read in, do not return anything but use tf.summary
raise NotImplemented()
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