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並前往https://books.google.com.tw/books?id=URbEDwAAQBAJ&pg=PA201&lpg=PA201&dq=view_as&source=bl&ots=Wgsxdh4Ny4&sig=ACfU3U1yvJxZ0U5lDudENiWLs6tq_kQGGQ&hl=zh-TW&sa=X&ved=2ahUKEwiV05SFyYD0AhUkhf0HHaYyAS0Q6AF6BAgxEAM

Hands-On Generative Adversarial Networks with PyTorch 1.x: ...

... output = model(data) test_loss += criterion(output, target).item() pred = output.max(1, keepdim=True)[1] correct += pred.eq(target.view_as(pred)).

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