Created
February 14, 2020 10:39
-
-
Save albusdemens/170905c5f565d318443e79d8f21dbb64 to your computer and use it in GitHub Desktop.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| self.__class__.__name__, "\n\t".join(error_msgs))) | |
| RuntimeError: Error(s) in loading state_dict for StyleGAN2: | |
| Unexpected key(s) in state_dict: "G.blocks.6.to_style1.weight", "G.blocks.6.to_style1.bias", "G.blocks.6.to_noise1.weight", "G.blocks.6.to_noise1.bias", "G.blocks.6.conv1.weight", "G.blocks.6.to_style2.weight", "G.blocks.6.to_style2.bias", "G.blocks.6.to_noise2.weight", "G.blocks.6.to_noise2.bias", "G.blocks.6.conv2.weight", "G.blocks.6.to_rgb.to_style.weight", "G.blocks.6.to_rgb.to_style.bias", "G.blocks.6.to_rgb.conv.weight", "G.blocks.7.to_style1.weight", "G.blocks.7.to_style1.bias", "G.blocks.7.to_noise1.weight", "G.blocks.7.to_noise1.bias", "G.blocks.7.conv1.weight", "G.blocks.7.to_style2.weight", "G.blocks.7.to_style2.bias", "G.blocks.7.to_noise2.weight", "G.blocks.7.to_noise2.bias", "G.blocks.7.conv2.weight", "G.blocks.7.to_rgb.to_style.weight", "G.blocks.7.to_rgb.to_style.bias", "G.blocks.7.to_rgb.conv.weight", "D.blocks.7.conv_res.weight", "D.blocks.7.conv_res.bias", "D.blocks.7.net.0.weight", "D.blocks.7.net.0.bias", "D.blocks.7.net.2.weight", "D.blocks.7.net.2.bias", "D.blocks.7.downsample.weight", "D.blocks.7.downsample.bias", "D.blocks.8.conv_res.weight", "D.blocks.8.conv_res.bias", "D.blocks.8.net.0.weight", "D.blocks.8.net.0.bias", "D.blocks.8.net.2.weight", "D.blocks.8.net.2.bias", "D.blocks.6.downsample.weight", "D.blocks.6.downsample.bias", "GE.blocks.6.to_style1.weight", "GE.blocks.6.to_style1.bias", "GE.blocks.6.to_noise1.weight", "GE.blocks.6.to_noise1.bias", "GE.blocks.6.conv1.weight", "GE.blocks.6.to_style2.weight", "GE.blocks.6.to_style2.bias", "GE.blocks.6.to_noise2.weight", "GE.blocks.6.to_noise2.bias", "GE.blocks.6.conv2.weight", "GE.blocks.6.to_rgb.to_style.weight", "GE.blocks.6.to_rgb.to_style.bias", "GE.blocks.6.to_rgb.conv.weight", "GE.blocks.7.to_style1.weight", "GE.blocks.7.to_style1.bias", "GE.blocks.7.to_noise1.weight", "GE.blocks.7.to_noise1.bias", "GE.blocks.7.conv1.weight", "GE.blocks.7.to_style2.weight", "GE.blocks.7.to_style2.bias", "GE.blocks.7.to_noise2.weight", "GE.blocks.7.to_noise2.bias", "GE.blocks.7.conv2.weight", "GE.blocks.7.to_rgb.to_style.weight", "GE.blocks.7.to_rgb.to_style.bias", "GE.blocks.7.to_rgb.conv.weight". | |
| size mismatch for G.initial_block: copying a param with shape torch.Size([8, 4, 4]) from checkpoint, the shape in current model is torch.Size([64, 4, 4]). | |
| size mismatch for G.blocks.0.to_style1.weight: copying a param with shape torch.Size([8, 512]) from checkpoint, the shape in current model is torch.Size([64, 512]). | |
| size mismatch for G.blocks.0.to_style1.bias: copying a param with shape torch.Size([8]) from checkpoint, the shape in current model is torch.Size([64]). | |
| size mismatch for G.blocks.0.to_noise1.weight: copying a param with shape torch.Size([512, 1]) from checkpoint, the shape in current model is torch.Size([1024, 1]). | |
| size mismatch for G.blocks.0.to_noise1.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]). | |
| size mismatch for G.blocks.0.conv1.weight: copying a param with shape torch.Size([512, 8, 3, 3]) from checkpoint, the shape in current model is torch.Size([1024, 64, 3, 3]). | |
| size mismatch for G.blocks.0.to_style2.weight: copying a param with shape torch.Size([512, 512]) from checkpoint, the shape in current model is torch.Size([1024, 512]). | |
| size mismatch for G.blocks.0.to_style2.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]). | |
| size mismatch for G.blocks.0.to_noise2.weight: copying a param with shape torch.Size([512, 1]) from checkpoint, the shape in current model is torch.Size([1024, 1]). | |
| size mismatch for G.blocks.0.to_noise2.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]). | |
| size mismatch for G.blocks.0.conv2.weight: copying a param with shape torch.Size([512, 512, 3, 3]) from checkpoint, the shape in current model is torch.Size([1024, 1024, 3, 3]). | |
| size mismatch for G.blocks.0.to_rgb.to_style.weight: copying a param with shape torch.Size([512, 512]) from checkpoint, the shape in current model is torch.Size([1024, 512]). | |
| size mismatch for G.blocks.0.to_rgb.to_style.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]). | |
| size mismatch for G.blocks.0.to_rgb.conv.weight: copying a param with shape torch.Size([3, 512, 1, 1]) from checkpoint, the shape in current model is torch.Size([3, 1024, 1, 1]). | |
| size mismatch for G.blocks.1.to_style1.weight: copying a param with shape torch.Size([512, 512]) from checkpoint, the shape in current model is torch.Size([1024, 512]). | |
| size mismatch for G.blocks.1.to_style1.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]). | |
| size mismatch for G.blocks.1.to_noise1.weight: copying a param with shape torch.Size([256, 1]) from checkpoint, the shape in current model is torch.Size([512, 1]). | |
| size mismatch for G.blocks.1.to_noise1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). | |
| size mismatch for G.blocks.1.conv1.weight: copying a param with shape torch.Size([256, 512, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 1024, 3, 3]). | |
| size mismatch for G.blocks.1.to_style2.weight: copying a param with shape torch.Size([256, 512]) from checkpoint, the shape in current model is torch.Size([512, 512]). | |
| size mismatch for G.blocks.1.to_style2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). | |
| size mismatch for G.blocks.1.to_noise2.weight: copying a param with shape torch.Size([256, 1]) from checkpoint, the shape in current model is torch.Size([512, 1]). | |
| size mismatch for G.blocks.1.to_noise2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). | |
| size mismatch for G.blocks.1.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 512, 3, 3]). | |
| size mismatch for G.blocks.1.to_rgb.to_style.weight: copying a param with shape torch.Size([256, 512]) from checkpoint, the shape in current model is torch.Size([512, 512]). | |
| size mismatch for G.blocks.1.to_rgb.to_style.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). | |
| size mismatch for G.blocks.1.to_rgb.conv.weight: copying a param with shape torch.Size([3, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([3, 512, 1, 1]). | |
| size mismatch for G.blocks.2.to_style1.weight: copying a param with shape torch.Size([256, 512]) from checkpoint, the shape in current model is torch.Size([512, 512]). | |
| size mismatch for G.blocks.2.to_style1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). | |
| size mismatch for G.blocks.2.to_noise1.weight: copying a param with shape torch.Size([128, 1]) from checkpoint, the shape in current model is torch.Size([256, 1]). | |
| size mismatch for G.blocks.2.to_noise1.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). | |
| size mismatch for G.blocks.2.conv1.weight: copying a param with shape torch.Size([128, 256, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 512, 3, 3]). | |
| size mismatch for G.blocks.2.to_style2.weight: copying a param with shape torch.Size([128, 512]) from checkpoint, the shape in current model is torch.Size([256, 512]). | |
| size mismatch for G.blocks.2.to_style2.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). | |
| size mismatch for G.blocks.2.to_noise2.weight: copying a param with shape torch.Size([128, 1]) from checkpoint, the shape in current model is torch.Size([256, 1]). | |
| size mismatch for G.blocks.2.to_noise2.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). | |
| size mismatch for G.blocks.2.conv2.weight: copying a param with shape torch.Size([128, 128, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 256, 3, 3]). | |
| size mismatch for G.blocks.2.to_rgb.to_style.weight: copying a param with shape torch.Size([128, 512]) from checkpoint, the shape in current model is torch.Size([256, 512]). | |
| size mismatch for G.blocks.2.to_rgb.to_style.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). | |
| size mismatch for G.blocks.2.to_rgb.conv.weight: copying a param with shape torch.Size([3, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([3, 256, 1, 1]). | |
| size mismatch for G.blocks.3.to_style1.weight: copying a param with shape torch.Size([128, 512]) from checkpoint, the shape in current model is torch.Size([256, 512]). | |
| size mismatch for G.blocks.3.to_style1.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). | |
| size mismatch for G.blocks.3.to_noise1.weight: copying a param with shape torch.Size([64, 1]) from checkpoint, the shape in current model is torch.Size([128, 1]). | |
| size mismatch for G.blocks.3.to_noise1.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). | |
| size mismatch for G.blocks.3.conv1.weight: copying a param with shape torch.Size([64, 128, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 256, 3, 3]). | |
| size mismatch for G.blocks.3.to_style2.weight: copying a param with shape torch.Size([64, 512]) from checkpoint, the shape in current model is torch.Size([128, 512]). | |
| size mismatch for G.blocks.3.to_style2.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). | |
| size mismatch for G.blocks.3.to_noise2.weight: copying a param with shape torch.Size([64, 1]) from checkpoint, the shape in current model is torch.Size([128, 1]). | |
| size mismatch for G.blocks.3.to_noise2.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). | |
| size mismatch for G.blocks.3.conv2.weight: copying a param with shape torch.Size([64, 64, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 128, 3, 3]). | |
| size mismatch for G.blocks.3.to_rgb.to_style.weight: copying a param with shape torch.Size([64, 512]) from checkpoint, the shape in current model is torch.Size([128, 512]). | |
| size mismatch for G.blocks.3.to_rgb.to_style.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). | |
| size mismatch for G.blocks.3.to_rgb.conv.weight: copying a param with shape torch.Size([3, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([3, 128, 1, 1]). | |
| size mismatch for G.blocks.4.to_style1.weight: copying a param with shape torch.Size([64, 512]) from checkpoint, the shape in current model is torch.Size([128, 512]). | |
| size mismatch for G.blocks.4.to_style1.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). | |
| size mismatch for G.blocks.4.to_noise1.weight: copying a param with shape torch.Size([32, 1]) from checkpoint, the shape in current model is torch.Size([64, 1]). | |
| size mismatch for G.blocks.4.to_noise1.bias: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([64]). | |
| size mismatch for G.blocks.4.conv1.weight: copying a param with shape torch.Size([32, 64, 3, 3]) from checkpoint, the shape in current model is torch.Size([64, 128, 3, 3]). | |
| size mismatch for G.blocks.4.to_style2.weight: copying a param with shape torch.Size([32, 512]) from checkpoint, the shape in current model is torch.Size([64, 512]). | |
| size mismatch for G.blocks.4.to_style2.bias: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([64]). | |
| size mismatch for G.blocks.4.to_noise2.weight: copying a param with shape torch.Size([32, 1]) from checkpoint, the shape in current model is torch.Size([64, 1]). | |
| size mismatch for G.blocks.4.to_noise2.bias: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([64]). | |
| size mismatch for G.blocks.4.conv2.weight: copying a param with shape torch.Size([32, 32, 3, 3]) from checkpoint, the shape in current model is torch.Size([64, 64, 3, 3]). | |
| size mismatch for G.blocks.4.to_rgb.to_style.weight: copying a param with shape torch.Size([32, 512]) from checkpoint, the shape in current model is torch.Size([64, 512]). | |
| size mismatch for G.blocks.4.to_rgb.to_style.bias: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([64]). | |
| size mismatch for G.blocks.4.to_rgb.conv.weight: copying a param with shape torch.Size([3, 32, 1, 1]) from checkpoint, the shape in current model is torch.Size([3, 64, 1, 1]). | |
| size mismatch for G.blocks.5.to_style1.weight: copying a param with shape torch.Size([32, 512]) from checkpoint, the shape in current model is torch.Size([64, 512]). | |
| size mismatch for G.blocks.5.to_style1.bias: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([64]). | |
| size mismatch for G.blocks.5.to_noise1.weight: copying a param with shape torch.Size([16, 1]) from checkpoint, the shape in current model is torch.Size([32, 1]). | |
| size mismatch for G.blocks.5.to_noise1.bias: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([32]). | |
| size mismatch for G.blocks.5.conv1.weight: copying a param with shape torch.Size([16, 32, 3, 3]) from checkpoint, the shape in current model is torch.Size([32, 64, 3, 3]). | |
| size mismatch for G.blocks.5.to_style2.weight: copying a param with shape torch.Size([16, 512]) from checkpoint, the shape in current model is torch.Size([32, 512]). | |
| size mismatch for G.blocks.5.to_style2.bias: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([32]). | |
| size mismatch for G.blocks.5.to_noise2.weight: copying a param with shape torch.Size([16, 1]) from checkpoint, the shape in current model is torch.Size([32, 1]). | |
| size mismatch for G.blocks.5.to_noise2.bias: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([32]). | |
| size mismatch for G.blocks.5.conv2.weight: copying a param with shape torch.Size([16, 16, 3, 3]) from checkpoint, the shape in current model is torch.Size([32, 32, 3, 3]). | |
| size mismatch for G.blocks.5.to_rgb.to_style.weight: copying a param with shape torch.Size([16, 512]) from checkpoint, the shape in current model is torch.Size([32, 512]). | |
| size mismatch for G.blocks.5.to_rgb.to_style.bias: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([32]). | |
| size mismatch for G.blocks.5.to_rgb.conv.weight: copying a param with shape torch.Size([3, 16, 1, 1]) from checkpoint, the shape in current model is torch.Size([3, 32, 1, 1]). | |
| size mismatch for D.blocks.0.conv_res.weight: copying a param with shape torch.Size([2, 3, 1, 1]) from checkpoint, the shape in current model is torch.Size([16, 3, 1, 1]). | |
| size mismatch for D.blocks.0.conv_res.bias: copying a param with shape torch.Size([2]) from checkpoint, the shape in current model is torch.Size([16]). | |
| size mismatch for D.blocks.0.net.0.weight: copying a param with shape torch.Size([2, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([16, 3, 3, 3]). | |
| size mismatch for D.blocks.0.net.0.bias: copying a param with shape torch.Size([2]) from checkpoint, the shape in current model is torch.Size([16]). | |
| size mismatch for D.blocks.0.net.2.weight: copying a param with shape torch.Size([2, 2, 3, 3]) from checkpoint, the shape in current model is torch.Size([16, 16, 3, 3]). | |
| size mismatch for D.blocks.0.net.2.bias: copying a param with shape torch.Size([2]) from checkpoint, the shape in current model is torch.Size([16]). | |
| size mismatch for D.blocks.0.downsample.weight: copying a param with shape torch.Size([2, 2, 3, 3]) from checkpoint, the shape in current model is torch.Size([16, 16, 3, 3]). | |
| size mismatch for D.blocks.0.downsample.bias: copying a param with shape torch.Size([2]) from checkpoint, the shape in current model is torch.Size([16]). | |
| size mismatch for D.blocks.1.conv_res.weight: copying a param with shape torch.Size([4, 2, 1, 1]) from checkpoint, the shape in current model is torch.Size([32, 16, 1, 1]). | |
| size mismatch for D.blocks.1.conv_res.bias: copying a param with shape torch.Size([4]) from checkpoint, the shape in current model is torch.Size([32]). | |
| size mismatch for D.blocks.1.net.0.weight: copying a param with shape torch.Size([4, 2, 3, 3]) from checkpoint, the shape in current model is torch.Size([32, 16, 3, 3]). | |
| size mismatch for D.blocks.1.net.0.bias: copying a param with shape torch.Size([4]) from checkpoint, the shape in current model is torch.Size([32]). | |
| size mismatch for D.blocks.1.net.2.weight: copying a param with shape torch.Size([4, 4, 3, 3]) from checkpoint, the shape in current model is torch.Size([32, 32, 3, 3]). | |
| size mismatch for D.blocks.1.net.2.bias: copying a param with shape torch.Size([4]) from checkpoint, the shape in current model is torch.Size([32]). | |
| size mismatch for D.blocks.1.downsample.weight: copying a param with shape torch.Size([4, 4, 3, 3]) from checkpoint, the shape in current model is torch.Size([32, 32, 3, 3]). | |
| size mismatch for D.blocks.1.downsample.bias: copying a param with shape torch.Size([4]) from checkpoint, the shape in current model is torch.Size([32]). | |
| size mismatch for D.blocks.2.conv_res.weight: copying a param with shape torch.Size([8, 4, 1, 1]) from checkpoint, the shape in current model is torch.Size([64, 32, 1, 1]). | |
| size mismatch for D.blocks.2.conv_res.bias: copying a param with shape torch.Size([8]) from checkpoint, the shape in current model is torch.Size([64]). | |
| size mismatch for D.blocks.2.net.0.weight: copying a param with shape torch.Size([8, 4, 3, 3]) from checkpoint, the shape in current model is torch.Size([64, 32, 3, 3]). | |
| size mismatch for D.blocks.2.net.0.bias: copying a param with shape torch.Size([8]) from checkpoint, the shape in current model is torch.Size([64]). | |
| size mismatch for D.blocks.2.net.2.weight: copying a param with shape torch.Size([8, 8, 3, 3]) from checkpoint, the shape in current model is torch.Size([64, 64, 3, 3]). | |
| size mismatch for D.blocks.2.net.2.bias: copying a param with shape torch.Size([8]) from checkpoint, the shape in current model is torch.Size([64]). | |
| size mismatch for D.blocks.2.downsample.weight: copying a param with shape torch.Size([8, 8, 3, 3]) from checkpoint, the shape in current model is torch.Size([64, 64, 3, 3]). | |
| size mismatch for D.blocks.2.downsample.bias: copying a param with shape torch.Size([8]) from checkpoint, the shape in current model is torch.Size([64]). | |
| size mismatch for D.blocks.3.conv_res.weight: copying a param with shape torch.Size([16, 8, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 64, 1, 1]). | |
| size mismatch for D.blocks.3.conv_res.bias: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([128]). | |
| size mismatch for D.blocks.3.net.0.weight: copying a param with shape torch.Size([16, 8, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 64, 3, 3]). | |
| size mismatch for D.blocks.3.net.0.bias: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([128]). | |
| size mismatch for D.blocks.3.net.2.weight: copying a param with shape torch.Size([16, 16, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 128, 3, 3]). | |
| size mismatch for D.blocks.3.net.2.bias: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([128]). | |
| size mismatch for D.blocks.3.downsample.weight: copying a param with shape torch.Size([16, 16, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 128, 3, 3]). | |
| size mismatch for D.blocks.3.downsample.bias: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([128]). | |
| size mismatch for D.blocks.4.conv_res.weight: copying a param with shape torch.Size([32, 16, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 128, 1, 1]). | |
| size mismatch for D.blocks.4.conv_res.bias: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([256]). | |
| size mismatch for D.blocks.4.net.0.weight: copying a param with shape torch.Size([32, 16, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 128, 3, 3]). | |
| size mismatch for D.blocks.4.net.0.bias: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([256]). | |
| size mismatch for D.blocks.4.net.2.weight: copying a param with shape torch.Size([32, 32, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 256, 3, 3]). | |
| size mismatch for D.blocks.4.net.2.bias: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([256]). | |
| size mismatch for D.blocks.4.downsample.weight: copying a param with shape torch.Size([32, 32, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 256, 3, 3]). | |
| size mismatch for D.blocks.4.downsample.bias: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([256]). | |
| size mismatch for D.blocks.5.conv_res.weight: copying a param with shape torch.Size([64, 32, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 256, 1, 1]). | |
| size mismatch for D.blocks.5.conv_res.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([512]). | |
| size mismatch for D.blocks.5.net.0.weight: copying a param with shape torch.Size([64, 32, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 256, 3, 3]). | |
| size mismatch for D.blocks.5.net.0.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([512]). | |
| size mismatch for D.blocks.5.net.2.weight: copying a param with shape torch.Size([64, 64, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 512, 3, 3]). | |
| size mismatch for D.blocks.5.net.2.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([512]). | |
| size mismatch for D.blocks.5.downsample.weight: copying a param with shape torch.Size([64, 64, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 512, 3, 3]). | |
| size mismatch for D.blocks.5.downsample.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([512]). | |
| size mismatch for D.blocks.6.conv_res.weight: copying a param with shape torch.Size([128, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 512, 1, 1]). | |
| size mismatch for D.blocks.6.conv_res.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([1024]). | |
| size mismatch for D.blocks.6.net.0.weight: copying a param with shape torch.Size([128, 64, 3, 3]) from checkpoint, the shape in current model is torch.Size([1024, 512, 3, 3]). | |
| size mismatch for D.blocks.6.net.0.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([1024]). | |
| size mismatch for D.blocks.6.net.2.weight: copying a param with shape torch.Size([128, 128, 3, 3]) from checkpoint, the shape in current model is torch.Size([1024, 1024, 3, 3]). | |
| size mismatch for D.blocks.6.net.2.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([1024]). | |
| size mismatch for D.to_logit.weight: copying a param with shape torch.Size([1, 2048]) from checkpoint, the shape in current model is torch.Size([1, 4096]). | |
| size mismatch for GE.initial_block: copying a param with shape torch.Size([8, 4, 4]) from checkpoint, the shape in current model is torch.Size([64, 4, 4]). | |
| size mismatch for GE.blocks.0.to_style1.weight: copying a param with shape torch.Size([8, 512]) from checkpoint, the shape in current model is torch.Size([64, 512]). | |
| size mismatch for GE.blocks.0.to_style1.bias: copying a param with shape torch.Size([8]) from checkpoint, the shape in current model is torch.Size([64]). | |
| size mismatch for GE.blocks.0.to_noise1.weight: copying a param with shape torch.Size([512, 1]) from checkpoint, the shape in current model is torch.Size([1024, 1]). | |
| size mismatch for GE.blocks.0.to_noise1.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]). | |
| size mismatch for GE.blocks.0.conv1.weight: copying a param with shape torch.Size([512, 8, 3, 3]) from checkpoint, the shape in current model is torch.Size([1024, 64, 3, 3]). | |
| size mismatch for GE.blocks.0.to_style2.weight: copying a param with shape torch.Size([512, 512]) from checkpoint, the shape in current model is torch.Size([1024, 512]). | |
| size mismatch for GE.blocks.0.to_style2.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]). | |
| size mismatch for GE.blocks.0.to_noise2.weight: copying a param with shape torch.Size([512, 1]) from checkpoint, the shape in current model is torch.Size([1024, 1]). | |
| size mismatch for GE.blocks.0.to_noise2.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]). | |
| size mismatch for GE.blocks.0.conv2.weight: copying a param with shape torch.Size([512, 512, 3, 3]) from checkpoint, the shape in current model is torch.Size([1024, 1024, 3, 3]). | |
| size mismatch for GE.blocks.0.to_rgb.to_style.weight: copying a param with shape torch.Size([512, 512]) from checkpoint, the shape in current model is torch.Size([1024, 512]). | |
| size mismatch for GE.blocks.0.to_rgb.to_style.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]). | |
| size mismatch for GE.blocks.0.to_rgb.conv.weight: copying a param with shape torch.Size([3, 512, 1, 1]) from checkpoint, the shape in current model is torch.Size([3, 1024, 1, 1]). | |
| size mismatch for GE.blocks.1.to_style1.weight: copying a param with shape torch.Size([512, 512]) from checkpoint, the shape in current model is torch.Size([1024, 512]). | |
| size mismatch for GE.blocks.1.to_style1.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]). | |
| size mismatch for GE.blocks.1.to_noise1.weight: copying a param with shape torch.Size([256, 1]) from checkpoint, the shape in current model is torch.Size([512, 1]). | |
| size mismatch for GE.blocks.1.to_noise1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). | |
| size mismatch for GE.blocks.1.conv1.weight: copying a param with shape torch.Size([256, 512, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 1024, 3, 3]). | |
| size mismatch for GE.blocks.1.to_style2.weight: copying a param with shape torch.Size([256, 512]) from checkpoint, the shape in current model is torch.Size([512, 512]). | |
| size mismatch for GE.blocks.1.to_style2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). | |
| size mismatch for GE.blocks.1.to_noise2.weight: copying a param with shape torch.Size([256, 1]) from checkpoint, the shape in current model is torch.Size([512, 1]). | |
| size mismatch for GE.blocks.1.to_noise2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). | |
| size mismatch for GE.blocks.1.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 512, 3, 3]). | |
| size mismatch for GE.blocks.1.to_rgb.to_style.weight: copying a param with shape torch.Size([256, 512]) from checkpoint, the shape in current model is torch.Size([512, 512]). | |
| size mismatch for GE.blocks.1.to_rgb.to_style.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). | |
| size mismatch for GE.blocks.1.to_rgb.conv.weight: copying a param with shape torch.Size([3, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([3, 512, 1, 1]). | |
| size mismatch for GE.blocks.2.to_style1.weight: copying a param with shape torch.Size([256, 512]) from checkpoint, the shape in current model is torch.Size([512, 512]). | |
| size mismatch for GE.blocks.2.to_style1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). | |
| size mismatch for GE.blocks.2.to_noise1.weight: copying a param with shape torch.Size([128, 1]) from checkpoint, the shape in current model is torch.Size([256, 1]). | |
| size mismatch for GE.blocks.2.to_noise1.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). | |
| size mismatch for GE.blocks.2.conv1.weight: copying a param with shape torch.Size([128, 256, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 512, 3, 3]). | |
| size mismatch for GE.blocks.2.to_style2.weight: copying a param with shape torch.Size([128, 512]) from checkpoint, the shape in current model is torch.Size([256, 512]). | |
| size mismatch for GE.blocks.2.to_style2.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). | |
| size mismatch for GE.blocks.2.to_noise2.weight: copying a param with shape torch.Size([128, 1]) from checkpoint, the shape in current model is torch.Size([256, 1]). | |
| size mismatch for GE.blocks.2.to_noise2.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). | |
| size mismatch for GE.blocks.2.conv2.weight: copying a param with shape torch.Size([128, 128, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 256, 3, 3]). | |
| size mismatch for GE.blocks.2.to_rgb.to_style.weight: copying a param with shape torch.Size([128, 512]) from checkpoint, the shape in current model is torch.Size([256, 512]). | |
| size mismatch for GE.blocks.2.to_rgb.to_style.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). | |
| size mismatch for GE.blocks.2.to_rgb.conv.weight: copying a param with shape torch.Size([3, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([3, 256, 1, 1]). | |
| size mismatch for GE.blocks.3.to_style1.weight: copying a param with shape torch.Size([128, 512]) from checkpoint, the shape in current model is torch.Size([256, 512]). | |
| size mismatch for GE.blocks.3.to_style1.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). | |
| size mismatch for GE.blocks.3.to_noise1.weight: copying a param with shape torch.Size([64, 1]) from checkpoint, the shape in current model is torch.Size([128, 1]). | |
| size mismatch for GE.blocks.3.to_noise1.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). | |
| size mismatch for GE.blocks.3.conv1.weight: copying a param with shape torch.Size([64, 128, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 256, 3, 3]). | |
| size mismatch for GE.blocks.3.to_style2.weight: copying a param with shape torch.Size([64, 512]) from checkpoint, the shape in current model is torch.Size([128, 512]). | |
| size mismatch for GE.blocks.3.to_style2.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). | |
| size mismatch for GE.blocks.3.to_noise2.weight: copying a param with shape torch.Size([64, 1]) from checkpoint, the shape in current model is torch.Size([128, 1]). | |
| size mismatch for GE.blocks.3.to_noise2.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). | |
| size mismatch for GE.blocks.3.conv2.weight: copying a param with shape torch.Size([64, 64, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 128, 3, 3]). | |
| size mismatch for GE.blocks.3.to_rgb.to_style.weight: copying a param with shape torch.Size([64, 512]) from checkpoint, the shape in current model is torch.Size([128, 512]). | |
| size mismatch for GE.blocks.3.to_rgb.to_style.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). | |
| size mismatch for GE.blocks.3.to_rgb.conv.weight: copying a param with shape torch.Size([3, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([3, 128, 1, 1]). | |
| size mismatch for GE.blocks.4.to_style1.weight: copying a param with shape torch.Size([64, 512]) from checkpoint, the shape in current model is torch.Size([128, 512]). | |
| size mismatch for GE.blocks.4.to_style1.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). | |
| size mismatch for GE.blocks.4.to_noise1.weight: copying a param with shape torch.Size([32, 1]) from checkpoint, the shape in current model is torch.Size([64, 1]). | |
| size mismatch for GE.blocks.4.to_noise1.bias: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([64]). | |
| size mismatch for GE.blocks.4.conv1.weight: copying a param with shape torch.Size([32, 64, 3, 3]) from checkpoint, the shape in current model is torch.Size([64, 128, 3, 3]). | |
| size mismatch for GE.blocks.4.to_style2.weight: copying a param with shape torch.Size([32, 512]) from checkpoint, the shape in current model is torch.Size([64, 512]). | |
| size mismatch for GE.blocks.4.to_style2.bias: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([64]). | |
| size mismatch for GE.blocks.4.to_noise2.weight: copying a param with shape torch.Size([32, 1]) from checkpoint, the shape in current model is torch.Size([64, 1]). | |
| size mismatch for GE.blocks.4.to_noise2.bias: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([64]). | |
| size mismatch for GE.blocks.4.conv2.weight: copying a param with shape torch.Size([32, 32, 3, 3]) from checkpoint, the shape in current model is torch.Size([64, 64, 3, 3]). | |
| size mismatch for GE.blocks.4.to_rgb.to_style.weight: copying a param with shape torch.Size([32, 512]) from checkpoint, the shape in current model is torch.Size([64, 512]). | |
| size mismatch for GE.blocks.4.to_rgb.to_style.bias: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([64]). | |
| size mismatch for GE.blocks.4.to_rgb.conv.weight: copying a param with shape torch.Size([3, 32, 1, 1]) from checkpoint, the shape in current model is torch.Size([3, 64, 1, 1]). | |
| size mismatch for GE.blocks.5.to_style1.weight: copying a param with shape torch.Size([32, 512]) from checkpoint, the shape in current model is torch.Size([64, 512]). | |
| size mismatch for GE.blocks.5.to_style1.bias: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([64]). | |
| size mismatch for GE.blocks.5.to_noise1.weight: copying a param with shape torch.Size([16, 1]) from checkpoint, the shape in current model is torch.Size([32, 1]). | |
| size mismatch for GE.blocks.5.to_noise1.bias: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([32]). | |
| size mismatch for GE.blocks.5.conv1.weight: copying a param with shape torch.Size([16, 32, 3, 3]) from checkpoint, the shape in current model is torch.Size([32, 64, 3, 3]). | |
| size mismatch for GE.blocks.5.to_style2.weight: copying a param with shape torch.Size([16, 512]) from checkpoint, the shape in current model is torch.Size([32, 512]). | |
| size mismatch for GE.blocks.5.to_style2.bias: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([32]). | |
| size mismatch for GE.blocks.5.to_noise2.weight: copying a param with shape torch.Size([16, 1]) from checkpoint, the shape in current model is torch.Size([32, 1]). | |
| size mismatch for GE.blocks.5.to_noise2.bias: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([32]). | |
| size mismatch for GE.blocks.5.conv2.weight: copying a param with shape torch.Size([16, 16, 3, 3]) from checkpoint, the shape in current model is torch.Size([32, 32, 3, 3]). | |
| size mismatch for GE.blocks.5.to_rgb.to_style.weight: copying a param with shape torch.Size([16, 512]) from checkpoint, the shape in current model is torch.Size([32, 512]). | |
| size mismatch for GE.blocks.5.to_rgb.to_style.bias: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([32]). | |
| size mismatch for GE.blocks.5.to_rgb.conv.weight: copying a param with shape torch.Size([3, 16, 1, 1]) from checkpoint, the shape in current model is torch.Size([3, 32, 1, 1]). | |
| (SG_pytorch) alberto@spgroup-desktop:~/Documents/StyleGAN_reimplementations/stylegan2_lucidrains$ stylegan2_pytorch --generate |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment