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c3d0544 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 | # 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
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