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| # Copyright (c) 2023-2024, Zexin He | |
| # | |
| # 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 | |
| # | |
| # https://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. | |
| import math | |
| from functools import partial | |
| import torch | |
| __all__ = ['MixerDataset'] | |
| class MixerDataset(torch.utils.data.Dataset): | |
| def __init__(self, | |
| split: str, | |
| subsets: list[dict], | |
| **dataset_kwargs, | |
| ): | |
| self.subsets = [ | |
| self._dataset_fn(subset, split)(**dataset_kwargs) | |
| for subset in subsets | |
| ] | |
| self.virtual_lens = [ | |
| math.ceil(subset_config['sample_rate'] * len(subset_obj)) | |
| for subset_config, subset_obj in zip(subsets, self.subsets) | |
| ] | |
| def _dataset_fn(subset_config: dict, split: str): | |
| name = subset_config['name'] | |
| dataset_cls = None | |
| if name == "objaverse": | |
| from .objaverse import ObjaverseDataset | |
| dataset_cls = ObjaverseDataset | |
| elif name == 'gobjaverse_delete_tb': | |
| from .gobjaverse import GobjaverseDataset | |
| dataset_cls = GobjaverseDataset | |
| # elif name == 'mvimgnet': | |
| # from .mvimgnet import MVImgNetDataset | |
| # dataset_cls = MVImgNetDataset | |
| else: | |
| raise NotImplementedError(f"Dataset {name} not implemented") | |
| return partial( | |
| dataset_cls, | |
| root_dirs=subset_config['root_dirs'], | |
| meta_path=subset_config['meta_path'][split], | |
| ) | |
| def __len__(self): | |
| return sum(self.virtual_lens) | |
| def __getitem__(self, idx): | |
| subset_idx = 0 | |
| virtual_idx = idx | |
| while virtual_idx >= self.virtual_lens[subset_idx]: | |
| virtual_idx -= self.virtual_lens[subset_idx] | |
| subset_idx += 1 | |
| real_idx = virtual_idx % len(self.subsets[subset_idx]) | |
| return self.subsets[subset_idx][real_idx] | |