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AMP, SAEHD: reverted GAN to december version.

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iperov
2021-07-07 21:45:43 +04:00
parent b4b72d056f
commit ee1bc83a14
3 changed files with 5 additions and 19 deletions
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models/Model_SAEHD/Model.py
+2 -2
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@@ -156,7 +156,7 @@ Examples: df, liae, df-d, df-ud, liae-ud, ...
gan_patch_size = np.clip ( io.input_int("GAN patch size", default_gan_patch_size, add_info="3-640", help_message="The higher patch size, the higher the quality, the more VRAM is required. You can get sharper edges even at the lowest setting. Typical fine value is resolution / 8." ), 3, 640 )
self.options['gan_patch_size'] = gan_patch_size
gan_dims = np.clip ( io.input_int("GAN dimensions", default_gan_dims, add_info="4-64", help_message="The dimensions of the GAN network. The higher dimensions, the more VRAM is required. You can get sharper edges even at the lowest setting. Typical fine value is 16." ), 4, 64 )
gan_dims = np.clip ( io.input_int("GAN dimensions", default_gan_dims, add_info="4-512", help_message="The dimensions of the GAN network. The higher dimensions, the more VRAM is required. You can get sharper edges even at the lowest setting. Typical fine value is 16." ), 4, 512 )
self.options['gan_dims'] = gan_dims
if 'df' in self.options['archi']:
@@ -467,7 +467,7 @@ Examples: df, liae, df-d, df-ud, liae-ud, ...
gpu_G_loss += self.options['true_face_power']*DLoss(gpu_src_code_d_ones, gpu_src_code_d)
gpu_D_code_loss = (DLoss(gpu_src_code_d_ones , gpu_dst_code_d) + \
gpu_D_code_loss = (DLoss(gpu_dst_code_d_ones , gpu_dst_code_d) + \
DLoss(gpu_src_code_d_zeros, gpu_src_code_d) ) * 0.5
gpu_D_code_loss_gvs += [ nn.gradients (gpu_D_code_loss, self.code_discriminator.get_weights() ) ]