c17c92d84ec9216b781ecfbc25c6df225e2fd4f1,art/defences/preprocessor/audio_filter_pytorch.py,AudioFilterPyTorch,__call__,#AudioFilterPyTorch#Any#Any#,159

Before Change

        result = x.cpu().numpy()
        if y is not None:
            y = y.cpu().numpy()
        return result, y

    // Backward compatibility.
    def estimate_gradient(self, x: np.ndarray, grad: np.ndarray) -> np.ndarray:

After Change

        // Filter one input at a time
        for i, x_preprocess_i in enumerate(tqdm(x_preprocess, desc="Apply audio filter", disable=not self.verbose)):
            if np.min(x_preprocess_i) < -1.0 or np.max(x_preprocess_i) > 1.0:
                raise ValueError(
                    "Audio signals must be normalized to the range `[-1.0, 1.0]` to apply the audio filter function."
                )

            x_preprocess_i = torch.tensor(x_preprocess_i, device=self._device)

            with torch.no_grad():
                x_preprocess_i, _ = self.forward(x_preprocess_i)

            x_preprocess[i] = x_preprocess_i.cpu().numpy()

        return x_preprocess, y

    // Backward compatibility.

Instances