90261ba65239be82de5e01e912490e57d622360c,nussl/separation/clustering/clustering_algorithms.py,DeepClustering,project_data,#DeepClustering#Any#,122

Before Change

    def project_data(self, data):
        if self.model.layers["mel_projection"].num_mels > 0:
            data = torch.from_numpy(data).to(self.device).float().unsqueeze(0)
            data = self.model.project_data(data, clamp=False)
            data = (data > 0).squeeze(0).cpu().data.numpy().astype(bool)
        return data

After Change

            data = self._format(data, "rnn")
            data = torch.from_numpy(data).to(self.device).float()
            data = self.model.project_data(data, clamp=False)
            data = data.squeeze(-1).permute(2, 1, 0)
            data = (data > 0).cpu().data.numpy().astype(bool)
        return data

    def extract_features(self):

Instances