add Multi-Scale support for WGAN-GP #35
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I 'am not sure this is right or false!! please check it , thank you
akanimax
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Sep 6, 2020
| # generate random epsilon | ||
| epsilon = th.rand((batch_size, 1, 1, 1)).to(fake_samps.device) | ||
| # generate random epsilon | ||
| epsilon = th.rand((batch_size, 1, 1, 1)).to(fake_samp.device) |
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There is a tiny issue here. The epsilon would be different for different real_samp and fake_samp, which is not intended; and perhaps also incorrect. Could you add the epsilon as another parameter to this _interp function and then select an epsilon only once outside? Basically the epsilon should be same for interpolating real and fake samples at all scales.
Rest everything looks good. 👍. Thanks.
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@Johnson-yue @akanimax any result of this? This PR is still open?
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Hi， I try to adding gp in MSG-GAN, but, it is confusion, the multi-output need gradient for D ,so it can be compute
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I 'am not sure this is right or false!! please check it , thank you