# SPDX-FileCopyrightText: Copyright (c) 2023 - 2025 NVIDIA CORPORATION & AFFILIATES. # SPDX-FileCopyrightText: All rights reserved. # SPDX-License-Identifier: Apache-2.0 # # 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. from typing import Any, Dict, Tuple import torch from physicsnemo.models.module import Module class BaseModel(Module): """Base model class.""" def data_dict_to_input(self, data_dict, **kwargs) -> Any: """Convert data dictionary to appropriate input for the model.""" raise NotImplementedError def loss_dict(self, data_dict, **kwargs) -> Dict: """Compute the loss dictionary for the model.""" raise NotImplementedError @torch.no_grad() def eval_dict(self, data_dict, **kwargs) -> Dict: """Compute the evaluation dictionary for the model.""" raise NotImplementedError def image_pointcloud_dict(self, data_dict, datamodule) -> Tuple[Dict, Dict]: """Compute the image dict and pointcloud dict for the model.""" raise NotImplementedError