Loading zoo/deepgelbooru/model.py +3 −1 Original line number Diff line number Diff line Loading @@ -665,7 +665,9 @@ class DeepDanbooruModel(nn.Module): t_766 = torch.add(t_765, t_760) t_767 = F.relu(t_766) t_768 = self.n_Conv_178(t_767) t_769 = F.avg_pool2d(t_768, kernel_size=t_768.shape[-2:]) # print(t_768.shape) # t_769 = F.avg_pool2d(t_768, kernel_size=t_768.shape[-2:]) # original line t_769 = F.avg_pool2d(t_768, kernel_size=(4, 4)) # replaced to 4x4 for onnx export t_770 = torch.squeeze(t_769, 3) t_770 = torch.squeeze(t_770, 2) t_771 = torch.sigmoid(t_770) Loading Loading
zoo/deepgelbooru/model.py +3 −1 Original line number Diff line number Diff line Loading @@ -665,7 +665,9 @@ class DeepDanbooruModel(nn.Module): t_766 = torch.add(t_765, t_760) t_767 = F.relu(t_766) t_768 = self.n_Conv_178(t_767) t_769 = F.avg_pool2d(t_768, kernel_size=t_768.shape[-2:]) # print(t_768.shape) # t_769 = F.avg_pool2d(t_768, kernel_size=t_768.shape[-2:]) # original line t_769 = F.avg_pool2d(t_768, kernel_size=(4, 4)) # replaced to 4x4 for onnx export t_770 = torch.squeeze(t_769, 3) t_770 = torch.squeeze(t_770, 2) t_771 = torch.sigmoid(t_770) Loading