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@@ -409,10 +409,10 @@ class Solver(Utils):
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all_images = torch.cat([regular_image_transform(Image.open(path)).unsqueeze(0) for path in images_to_animate_path], dim=0).cuda()
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if idx == 0:
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for target_idx in range(targets.size(0)):
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x_adv, perturb = pgd_attack.perturb(image_to_animate, black, targets[target_idx, :].unsqueeze(0).cuda())
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x_advs.append((x_adv, perturb))
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# if idx == 0:
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# for target_idx in range(targets.size(0)):
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# x_adv, perturb = pgd_attack.perturb(image_to_animate, black, targets[target_idx, :].unsqueeze(0).cuda())
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# x_advs.append((x_adv, perturb))
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for target_idx in range(targets.size(0)):
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# if target_idx == 0:
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@@ -422,9 +422,9 @@ class Solver(Utils):
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# # _, perturb = pgd_attack.perturb_iter_data(image_to_animate, all_images, black, targets[68, :].unsqueeze(0).cuda())
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targets_au = targets[target_idx, :].unsqueeze(0).cuda()
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# x_adv, perturb = pgd_attack.perturb(image_to_animate, black, targets_au)
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x_adv, perturb = x_advs[target_idx]
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x_adv = image_to_animate + perturb
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x_adv, perturb = pgd_attack.perturb(image_to_animate, black, targets_au)
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# x_adv, perturb = x_advs[target_idx]
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# x_adv = image_to_animate + perturb
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# print(image_to_animate.shape, x_adv.shape)
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with torch.no_grad():
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resulting_images_att, resulting_images_reg = self.G(
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