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The choices for the parameter reduction of the function torch.nn.functional.binary_cross_entropy_with_logits in pytorch 0.4.1 are 'none'|‘elementwise_mean’ | ‘sum’. But the choice in the master code is 'mean'. It will cause ValueError: Input contains NaN, infinity or a value too large for dtype('float32').