iter_size in original caffe implementation

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In the solver.prototxt of the original implementation, iter_size: 10 specifies that gradient updates only happen every 10 batches. However, the training script here doesnt do such a thing

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(btw, this is essentially copying the behavior of batch updates, except if say, it won't fit on your gpu)