pointnet2/pointnet2_modules.py [58:73]:
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        ).transpose(1, 2).contiguous() if self.npoint is not None else None

        for i in range(len(self.groupers)):
            new_features = self.groupers[i](
                xyz, new_xyz, features
            )  # (B, C, npoint, nsample)

            new_features = self.mlps[i](
                new_features
            )  # (B, mlp[-1], npoint, nsample)
            new_features = F.max_pool2d(
                new_features, kernel_size=[1, new_features.size(3)]
            )  # (B, mlp[-1], npoint, 1)
            new_features = new_features.squeeze(-1)  # (B, mlp[-1], npoint)

            new_features_list.append(new_features)
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pointnet2/pointnet2_modules.py [337:351]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        ).transpose(1, 2).contiguous() if self.npoint is not None else None

        for i in range(len(self.groupers)):
            new_features = self.groupers[i](
                xyz, new_xyz, features
            )  # (B, C, npoint, nsample)
            new_features = self.mlps[i](
                new_features
            )  # (B, mlp[-1], npoint, nsample)
            new_features = F.max_pool2d(
                new_features, kernel_size=[1, new_features.size(3)]
            )  # (B, mlp[-1], npoint, 1)
            new_features = new_features.squeeze(-1)  # (B, mlp[-1], npoint)

            new_features_list.append(new_features)
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