| # SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. 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, List | |
| import torch | |
| class BasicDataCollator: | |
| def __call__(self, features: List[Dict[str, Any]]) -> Dict[str, torch.Tensor]: | |
| fields = features[0].keys() | |
| batch = {} | |
| for key in fields: | |
| batch[key] = torch.stack([item[key] for item in features]) | |
| return batch | |