Commit Graph

4 Commits

Author SHA1 Message Date
SsnL
fb22f76eb6 default_collate should collate bool list to byte tensors (#14669)
Summary:
Based on #15331 . Review only the last commit.

Fixes https://github.com/pytorch/pytorch/issues/14507.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/14669

Reviewed By: ezyang

Differential Revision: D13528725

Pulled By: soumith

fbshipit-source-id: f12f1ac1c4ff2a3ddd6877c0c096a5da3a1ffa3c
2018-12-28 12:26:46 -08:00
SsnL
9217bde807 Refactor dataloader.py (#15331)
Summary:
Same as #14668, and was approved there.

ailzhang , please apply this patch to Horizon's `data_streamer.py`: https://gist.github.com/SsnL/020fdb3d6b7016d81b6ba1d04cc41459 Thank you!

Below is the original description at #14668:

As I am working on tasks in https://github.com/pytorch/pytorch/issues/13023, I realized how unreadable the code is because all functions to be run in multiprocessing must be at top global level. Adding more functionalities to `dataloader.py` will only make things worse.

So in this PR, I refactor `dataloader.py` and move much of it into `data._utils`. E.g., the `_worker_loop` and related methods are now in `data._utils.worker`, signal handling code in `data._utils.signal_handling`, collating code in `data._utils.collate`, etc. This split, IMHO, makes code much clearer. I will base my future changes to DataLoader on top of this.

No functionality is changed, except that  I added `torch._six.queue`.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/15331

Reviewed By: yf225

Differential Revision: D13503120

Pulled By: ailzhang

fbshipit-source-id: 94df16b4d80ad1102c437cde0d5a2e62cffe1f8e
2018-12-19 12:36:03 -08:00
Ailing Zhang
38eb1beff5 Revert D13289919: [pytorch][PR] [DataLoader] Refactor dataloader.py
Differential Revision:
D13289919

Original commit changeset: d701bc7bb48f

fbshipit-source-id: c350c491fefa98a0a7c0cf22cb832e78aeb15c3d
2018-12-04 20:25:16 -08:00
SsnL
16558a1e9d Refactor dataloader.py (#14668)
Summary:
As I am working on tasks in https://github.com/pytorch/pytorch/issues/13023, I realized how unreadable the code is because all functions to be run in multiprocessing must be at top global level. Adding more functionalities to `dataloader.py` will only make things worse.

So in this PR, I refactor `dataloader.py` and move much of it into `data._utils`. E.g., the `_worker_loop` and related methods are now in `data._utils.worker`, signal handling code in `data._utils.signal_handling`, collating code in `data._utils.collate`, etc. This split, IMHO, makes code much clearer. I will base my future changes to DataLoader on top of this.

No functionality is changed, except that  I added `torch._six.queue`.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/14668

Reviewed By: soumith

Differential Revision: D13289919

Pulled By: ailzhang

fbshipit-source-id: d701bc7bb48f5dd7b163b5be941a9d27eb277a4c
2018-12-04 09:53:41 -08:00