| """monkey patches for the dataset fetcher to handle batches of packed indexes""" |
| |
|
|
| import torch |
| from torch.utils.data._utils.fetch import _BaseDatasetFetcher |
| from torch.utils.data._utils.worker import _worker_loop |
|
|
|
|
| class _MapDatasetFetcher(_BaseDatasetFetcher): |
| def fetch(self, possibly_batched_index): |
| if isinstance(possibly_batched_index[0], list): |
| data = [None for i in possibly_batched_index] |
| for i, possibly_batched_index_ in enumerate(possibly_batched_index): |
| if self.auto_collation: |
| if ( |
| hasattr(self.dataset, "__getitems__") |
| and self.dataset.__getitems__ |
| ): |
| data[i] = self.dataset.__getitems__(possibly_batched_index_) |
| else: |
| data[i] = [self.dataset[idx] for idx in possibly_batched_index_] |
| else: |
| data[i] = self.dataset[possibly_batched_index_] |
| else: |
| if self.auto_collation: |
| if hasattr(self.dataset, "__getitems__") and self.dataset.__getitems__: |
| data = self.dataset.__getitems__(possibly_batched_index) |
| else: |
| data = [self.dataset[idx] for idx in possibly_batched_index] |
| else: |
| data = self.dataset[possibly_batched_index] |
| return self.collate_fn(data) |
|
|
|
|
| def patch_fetchers(): |
| torch.utils.data._utils.fetch._MapDatasetFetcher = _MapDatasetFetcher |
| torch.utils.data.dataloader._utils.fetch._MapDatasetFetcher = _MapDatasetFetcher |
|
|
|
|
| def patched_worker_loop(*args, **kwargs): |
| patch_fetchers() |
| return _worker_loop(*args, **kwargs) |
|
|
|
|
| torch.utils.data._utils.worker._worker_loop = patched_worker_loop |
| patch_fetchers() |
|
|
