# Copyright (c) 2023, NVIDIA CORPORATION.  All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

"""VFE Template module."""
import torch.nn as nn


class VFETemplate(nn.Module):
    """VFETemplate class."""

    def __init__(self, model_cfg, **kwargs):
        """Initialize."""
        super().__init__()
        self.model_cfg = model_cfg

    def get_output_feature_dim(self):
        """Get output feature dimension."""
        raise NotImplementedError

    def forward(self, **kwargs):
        """
        Args:
            **kwargs:

        Returns:
            batch_dict:
                ...
                vfe_features: (num_voxels, C)
        """
        raise NotImplementedError
