opacus/optimizers/ddp_perlayeroptimizer.py [44:53]:
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        max_grad_norm = torch.norm(torch.Tensor(self.max_grad_norms), p=2).item()
        super().__init__(
            optimizer,
            noise_multiplier=noise_multiplier,
            max_grad_norm=max_grad_norm,
            expected_batch_size=expected_batch_size,
            loss_reduction=loss_reduction,
            generator=generator,
            secure_mode=secure_mode,
        )
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opacus/optimizers/perlayeroptimizer.py [31:40]:
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        max_grad_norm = torch.norm(torch.Tensor(self.max_grad_norms), p=2).item()
        super().__init__(
            optimizer,
            noise_multiplier=noise_multiplier,
            max_grad_norm=max_grad_norm,
            expected_batch_size=expected_batch_size,
            loss_reduction=loss_reduction,
            generator=generator,
            secure_mode=secure_mode,
        )
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