Comments (2)
rosinality
commented on July 17, 2024
1
tensor.backward(tensor_a)는 tensor에 대한 gradient를 tensor_a로 지정해주는 효과가 있습니다. wgan discriminator loss는 fake - real이므로 loss에 대한 real의 gradient는 -1이 됩니다. 그냥 (-real_predict).backward()를 써도 되지만요.
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hxngiee
commented on July 17, 2024
tensor.backward(tensor_a)는 tensor에 대한 gradient를 tensor_a로 지정해주는 효과가 있습니다. wgan discriminator loss는 fake - real이므로 loss에 대한 real의 gradient는 -1이 됩니다. 그냥 (-real_predict).backward()를 써도 되지만요.
Wgan loss였군요 !
빠른 답변 감사드립니다 !
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