Commit Graph

35 Commits

Author SHA1 Message Date
Jia Li
20b62fed21 Create processes in parallel in mp.start_processes for forkserver (#134629)
Summary:
This is to fix the pytorch issue filed https://github.com/pytorch/pytorch/issues/133010
one way to fix this problem is to enable parallel start processes in mp.start_processes.
What else in the diff:
refactored a test case api_test which was repeating a lot of tests due to the inheritance.
added unit test for forkserver when parallel start is on.

Test Plan: Added unit tests

Differential Revision: D61878552

Pull Request resolved: https://github.com/pytorch/pytorch/pull/134629
Approved by: https://github.com/d4l3k
2024-08-28 21:34:32 +00:00
PyTorch MergeBot
adcce538b7 Revert "Allow mp.start_processes to create processes in parallel (#133707)"
This reverts commit 3546628a2a.

Reverted https://github.com/pytorch/pytorch/pull/133707 on behalf of https://github.com/ZainRizvi due to sorry but trunk has been consistently broken since this PR was merged. See: [GH job link](https://github.com/pytorch/pytorch/actions/runs/10529617600/job/29191757055) [HUD commit link](3546628a2a) ([comment](https://github.com/pytorch/pytorch/pull/133707#issuecomment-2310709523))
2024-08-26 17:31:10 +00:00
Jia Li
3546628a2a Allow mp.start_processes to create processes in parallel (#133707)
Summary:
Background discussion in https://fb.workplace.com/groups/319878845696681/posts/1226087421742481

and pytorch issue filed https://github.com/pytorch/pytorch/issues/133010

one way to fix this problem is to add an option to parallel start processes on pytorch side.

Test Plan: Tested aps run in problem and things are in parallel now (next diff)

Differential Revision: D61301603

Pull Request resolved: https://github.com/pytorch/pytorch/pull/133707
Approved by: https://github.com/d4l3k, https://github.com/ezyang
2024-08-23 17:11:20 +00:00
Xuehai Pan
f3fce597e9 [BE][Easy][17/19] enforce style for empty lines in import segments in torch/[a-c]*/ and torch/[e-n]*/ (#129769)
See https://github.com/pytorch/pytorch/pull/129751#issue-2380881501. Most changes are auto-generated by linter.

You can review these PRs via:

```bash
git diff --ignore-all-space --ignore-blank-lines HEAD~1
```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/129769
Approved by: https://github.com/ezyang
2024-08-04 10:24:09 +00:00
Tristan Rice
7c370d2fb0 expose set_thread_name to Python and set thread names (#128448)
This adds a new multiprocessing method `_set_thread_name` and calls it from torchelastic and dataloader main functions. This will allow better monitoring of processes as we can separate elastic and dataloading processes from the main training process.

Threads named:

* torchrun/elastic
* PyTorch dataloader worker processes + pin memory thread
* TCPStore
* ProcessGroupNCCL background threads
* WorkerServer httpserver thread

Test plan:

```
$ torchrun --nnodes 1 --nproc_per_node 1 --no-python /bin/bash -c 'ps -eL | grep pt_'
3264281 3264281 pts/45   00:00:02 pt_elastic
3264281 3267950 pts/45   00:00:00 pt_elastic
```

dataloading

```py
import torch
import time

from torch.utils.data import (
    DataLoader,
    Dataset,
)

class NoopDataset(Dataset):
    def __getitem__(self, index):
        return index

    def __len__(self):
        return 10

dataloader = DataLoader(NoopDataset(), num_workers=2)

for i, x in enumerate(dataloader):
    print(i, x)
    time.sleep(10000)
```

```
$ python3 ~/scripts/dataloader_test.py
$ ps -eL | grep pt_
1228312 1228312 pts/45   00:00:02 pt_main_thread
1228312 1230058 pts/45   00:00:00 pt_main_thread
1228312 1230059 pts/45   00:00:00 pt_main_thread
1230052 1230052 pts/45   00:00:00 pt_data_worker
1230052 1230198 pts/45   00:00:00 pt_data_worker
1230052 1230740 pts/45   00:00:00 pt_data_worker
1230055 1230055 pts/45   00:00:00 pt_data_worker
1230055 1230296 pts/45   00:00:00 pt_data_worker
1230055 1230759 pts/45   00:00:00 pt_data_worker
```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/128448
Approved by: https://github.com/c-p-i-o, https://github.com/andrewkho, https://github.com/rsdcastro
2024-06-13 16:38:23 +00:00
Aaron Orenstein
038b927590 Flip default value for mypy disallow_untyped_defs [7/11] (#127844)
See #127836 for details.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/127844
Approved by: https://github.com/oulgen
ghstack dependencies: #127842, #127843
2024-06-08 18:49:45 +00:00
IvanLauLinTiong
91c90f232a Fix docstring errors in reductions.py, spawn.py, pool.py, parameter.py, cpp.py, grad.py, __init__.py, profiler.py, queue.py, graph.py (#113052)
Fixes #112595
- `torch/autograd/profiler.py` </br>
**Before: 37**

```
torch/autograd/profiler.py:1 at module level:
        D100: Missing docstring in public module
torch/autograd/profiler.py:91 in public class `profile`:
        D205: 1 blank line required between summary line and description (found 0)
torch/autograd/profiler.py:175 in public method `__init__`:
        D107: Missing docstring in __init__
torch/autograd/profiler.py:261 in public method `config`:
        D102: Missing docstring in public method
torch/autograd/profiler.py:272 in public method `__enter__`:
        D105: Missing docstring in magic method
torch/autograd/profiler.py:290 in public method `__exit__`:
        D105: Missing docstring in magic method
torch/autograd/profiler.py:308 in public method `__repr__`:
        D105: Missing docstring in magic method
torch/autograd/profiler.py:313 in public method `__str__`:
        D105: Missing docstring in magic method
torch/autograd/profiler.py:322 in public method `table`:
        D102: Missing docstring in public method
torch/autograd/profiler.py:346 in public method `export_chrome_trace`:
        D102: Missing docstring in public method
torch/autograd/profiler.py:355 in public method `export_stacks`:
        D102: Missing docstring in public method
torch/autograd/profiler.py:361 in public method `key_averages`:
        D102: Missing docstring in public method
torch/autograd/profiler.py:368 in public method `total_average`:
        D102: Missing docstring in public method
torch/autograd/profiler.py:377 in public method `self_cpu_time_total`:
        D205: 1 blank line required between summary line and description (found 0)
torch/autograd/profiler.py:377 in public method `self_cpu_time_total`:
        D400: First line should end with a period (not 'f')
torch/autograd/profiler.py:555 in public class `record_function`:
        D205: 1 blank line required between summary line and description (found 0)
torch/autograd/profiler.py:555 in public class `record_function`:
        D400: First line should end with a period (not 'f')
torch/autograd/profiler.py:591 in public method `__init__`:
        D107: Missing docstring in __init__
torch/autograd/profiler.py:602 in public method `__enter__`:
        D105: Missing docstring in magic method
torch/autograd/profiler.py:608 in public method `__exit__`:
        D105: Missing docstring in magic method
torch/autograd/profiler.py:625 in private method `_call_end_callbacks_on_future`:
        D205: 1 blank line required between summary line and description (found 0)
torch/autograd/profiler.py:625 in private method `_call_end_callbacks_on_future`:
        D400: First line should end with a period (not 'c')
torch/autograd/profiler.py:707 in public method `__init__`:
        D107: Missing docstring in __init__
torch/autograd/profiler.py:712 in public method `__enter__`:
        D105: Missing docstring in magic method
torch/autograd/profiler.py:733 in public method `__exit__`:
        D105: Missing docstring in magic method
torch/autograd/profiler.py:826 in public method `__init__`:
        D107: Missing docstring in __init__
torch/autograd/profiler.py:831 in public method `__enter__`:
        D105: Missing docstring in magic method
torch/autograd/profiler.py:853 in public method `__exit__`:
        D105: Missing docstring in magic method
torch/autograd/profiler.py:863 in public function `load_nvprof`:
        D401: First line should be in imperative mood (perhaps 'Open', not 'Opens')
torch/autograd/profiler.py:874 in public method `__init__`:
        D107: Missing docstring in __init__
torch/autograd/profiler.py:877 in public method `see`:
        D102: Missing docstring in public method
torch/autograd/profiler.py:883 in public function `parse_nvprof_trace`:
        D103: Missing docstring in public function
torch/autograd/profiler.py:951 in public class `KinetoStepTracker`:
        D205: 1 blank line required between summary line and description (found 0)
torch/autograd/profiler.py:991 in public method `init_step_count`:
        D102: Missing docstring in public method
torch/autograd/profiler.py:995 in public method `erase_step_count`:
        D102: Missing docstring in public method
torch/autograd/profiler.py:1000 in public method `increment_step`:
        D205: 1 blank line required between summary line and description (found 0)
torch/autograd/profiler.py:1023 in public method `current_step`:
        D102: Missing docstring in public method
37
```

**After: 27**

```
torch/autograd/profiler.py:1 at module level:
        D100: Missing docstring in public module
torch/autograd/profiler.py:176 in public method `__init__`:
        D107: Missing docstring in __init__
torch/autograd/profiler.py:262 in public method `config`:
        D102: Missing docstring in public method
torch/autograd/profiler.py:273 in public method `__enter__`:
        D105: Missing docstring in magic method
torch/autograd/profiler.py:291 in public method `__exit__`:
        D105: Missing docstring in magic method
torch/autograd/profiler.py:309 in public method `__repr__`:
        D105: Missing docstring in magic method
torch/autograd/profiler.py:314 in public method `__str__`:
        D105: Missing docstring in magic method
torch/autograd/profiler.py:323 in public method `table`:
        D102: Missing docstring in public method
torch/autograd/profiler.py:347 in public method `export_chrome_trace`:
        D102: Missing docstring in public method
torch/autograd/profiler.py:356 in public method `export_stacks`:
        D102: Missing docstring in public method
torch/autograd/profiler.py:362 in public method `key_averages`:
        D102: Missing docstring in public method
torch/autograd/profiler.py:369 in public method `total_average`:
        D102: Missing docstring in public method
torch/autograd/profiler.py:593 in public method `__init__`:
        D107: Missing docstring in __init__
torch/autograd/profiler.py:604 in public method `__enter__`:
        D105: Missing docstring in magic method
torch/autograd/profiler.py:610 in public method `__exit__`:
        D105: Missing docstring in magic method
torch/autograd/profiler.py:708 in public method `__init__`:
        D107: Missing docstring in __init__
torch/autograd/profiler.py:713 in public method `__enter__`:
        D105: Missing docstring in magic method
torch/autograd/profiler.py:734 in public method `__exit__`:
        D105: Missing docstring in magic method
torch/autograd/profiler.py:827 in public method `__init__`:
        D107: Missing docstring in __init__
torch/autograd/profiler.py:832 in public method `__enter__`:
        D105: Missing docstring in magic method
torch/autograd/profiler.py:854 in public method `__exit__`:
        D105: Missing docstring in magic method
torch/autograd/profiler.py:875 in public method `__init__`:
        D107: Missing docstring in __init__
torch/autograd/profiler.py:878 in public method `see`:
        D102: Missing docstring in public method
torch/autograd/profiler.py:884 in public function `parse_nvprof_trace`:
        D103: Missing docstring in public function
torch/autograd/profiler.py:993 in public method `init_step_count`:
        D102: Missing docstring in public method
torch/autograd/profiler.py:997 in public method `erase_step_count`:
        D102: Missing docstring in public method
torch/autograd/profiler.py:1025 in public method `current_step`:
        D102: Missing docstring in public method
27
```

- `torch/autograd/graph.py` </br>
**Before: 22**

```
torch/autograd/graph.py:1 at module level:
        D100: Missing docstring in public module
torch/autograd/graph.py:24 in public class `Node`:
        D101: Missing docstring in public class
torch/autograd/graph.py:27 in public method `name`:
        D401: First line should be in imperative mood (perhaps 'Return', not 'Returns')
torch/autograd/graph.py:42 in public method `next_functions`:
        D102: Missing docstring in public method
torch/autograd/graph.py:47 in public method `metadata`:
        D401: First line should be in imperative mood (perhaps 'Return', not 'Returns')
torch/autograd/graph.py:56 in public method `register_hook`:
        D401: First line should be in imperative mood (perhaps 'Register', not 'Registers')
torch/autograd/graph.py:94 in public method `register_prehook`:
        D401: First line should be in imperative mood (perhaps 'Register', not 'Registers')
torch/autograd/graph.py:129 in public method `__subclasshook__`:
        D105: Missing docstring in magic method
torch/autograd/graph.py:147 in public function `get_gradient_edge`:
        D205: 1 blank line required between summary line and description (found 0)
torch/autograd/graph.py:147 in public function `get_gradient_edge`:
        D400: First line should end with a period (not 'f')
torch/autograd/graph.py:147 in public function `get_gradient_edge`:
        D401: First line should be in imperative mood; try rephrasing (found 'This')
torch/autograd/graph.py:166 in public function `increment_version`:
        D205: 1 blank line required between summary line and description (found 0)
torch/autograd/graph.py:166 in public function `increment_version`:
        D400: First line should end with a period (not 'd')
torch/autograd/graph.py:166 in public function `increment_version`:
        D401: First line should be in imperative mood; try rephrasing (found 'This')
torch/autograd/graph.py:243 in public method `__init__`:
        D107: Missing docstring in __init__
torch/autograd/graph.py:251 in public method `__enter__`:
        D105: Missing docstring in magic method
torch/autograd/graph.py:256 in public method `__exit__`:
        D105: Missing docstring in magic method
torch/autograd/graph.py:261 in public class `save_on_cpu`:
        D205: 1 blank line required between summary line and description (found 0)
torch/autograd/graph.py:261 in public class `save_on_cpu`:
        D400: First line should end with a period (not 'e')
torch/autograd/graph.py:303 in public method `__init__`:
        D107: Missing docstring in __init__
torch/autograd/graph.py:365 in public function `register_multi_grad_hook`:
        D401: First line should be in imperative mood (perhaps 'Register', not 'Registers')
torch/autograd/graph.py:588 in public function `allow_mutation_on_saved_tensors`:
        D400: First line should end with a period (not 'd')
22
```

**After: 8**

```
torch/autograd/graph.py:1 at module level:
        D100: Missing docstring in public module
torch/autograd/graph.py:24 in public class `Node`:
        D101: Missing docstring in public class
torch/autograd/graph.py:42 in public method `next_functions`:
        D102: Missing docstring in public method
torch/autograd/graph.py:129 in public method `__subclasshook__`:
        D105: Missing docstring in magic method
torch/autograd/graph.py:244 in public method `__init__`:
        D107: Missing docstring in __init__
torch/autograd/graph.py:252 in public method `__enter__`:
        D105: Missing docstring in magic method
torch/autograd/graph.py:257 in public method `__exit__`:
        D105: Missing docstring in magic method
torch/autograd/graph.py:303 in public method `__init__`:
        D107: Missing docstring in __init__
8
```

- `torch/multiprocessing/pool.py` </br>
**Before: 6**

```
torch/multiprocessing/pool.py:1 at module level:
        D100: Missing docstring in public module
torch/multiprocessing/pool.py:7 in public function `clean_worker`:
        D103: Missing docstring in public function
torch/multiprocessing/pool.py:18 in public class `Pool`:
        D205: 1 blank line required between summary line and description (found 0)
torch/multiprocessing/pool.py:18 in public class `Pool`:
        D209: Multi-line docstring closing quotes should be on a separate line
torch/multiprocessing/pool.py:29 in private method `_repopulate_pool`:
        D205: 1 blank line required between summary line and description (found 0)
torch/multiprocessing/pool.py:29 in private method `_repopulate_pool`:
        D400: First line should end with a period (not ',')
6
```

**After: 2**

```
torch/multiprocessing/pool.py:1 at module level:
        D100: Missing docstring in public module
torch/multiprocessing/pool.py:7 in public function `clean_worker`:
        D103: Missing docstring in public function
2
```

- `torch/multiprocessing/queue.py` </br>
**Before: 11**

```
torch/multiprocessing/queue.py:1 at module level:
        D100: Missing docstring in public module
torch/multiprocessing/queue.py:8 in public class `ConnectionWrapper`:
        D205: 1 blank line required between summary line and description (found 0)
torch/multiprocessing/queue.py:8 in public class `ConnectionWrapper`:
        D209: Multi-line docstring closing quotes should be on a separate line
torch/multiprocessing/queue.py:8 in public class `ConnectionWrapper`:
        D400: First line should end with a period (not 'o')
torch/multiprocessing/queue.py:11 in public method `__init__`:
        D107: Missing docstring in __init__
torch/multiprocessing/queue.py:14 in public method `send`:
        D102: Missing docstring in public method
torch/multiprocessing/queue.py:19 in public method `recv`:
        D102: Missing docstring in public method
torch/multiprocessing/queue.py:23 in public method `__getattr__`:
        D105: Missing docstring in magic method
torch/multiprocessing/queue.py:29 in public class `Queue`:
        D101: Missing docstring in public class
torch/multiprocessing/queue.py:30 in public method `__init__`:
        D107: Missing docstring in __init__
torch/multiprocessing/queue.py:38 in public class `SimpleQueue`:
        D101: Missing docstring in public class
11
```

**After: 8**

```
torch/multiprocessing/queue.py:1 at module level:
        D100: Missing docstring in public module
torch/multiprocessing/queue.py:10 in public method `__init__`:
        D107: Missing docstring in __init__
torch/multiprocessing/queue.py:13 in public method `send`:
        D102: Missing docstring in public method
torch/multiprocessing/queue.py:18 in public method `recv`:
        D102: Missing docstring in public method
torch/multiprocessing/queue.py:22 in public method `__getattr__`:
        D105: Missing docstring in magic method
torch/multiprocessing/queue.py:28 in public class `Queue`:
        D101: Missing docstring in public class
torch/multiprocessing/queue.py:29 in public method `__init__`:
        D107: Missing docstring in __init__
torch/multiprocessing/queue.py:37 in public class `SimpleQueue`:
        D101: Missing docstring in public class
8
```

- `torch/multiprocessing/reductions.py` </br>
**Before: 31**

```
torch/multiprocessing/reductions.py:1 at module level:
        D100: Missing docstring in public module
torch/multiprocessing/reductions.py:24 in public class `StorageWeakRef`:
        D209: Multi-line docstring closing quotes should be on a separate line
torch/multiprocessing/reductions.py:31 in public method `__init__`:
        D107: Missing docstring in __init__
torch/multiprocessing/reductions.py:38 in public method `from_weakref`:
        D102: Missing docstring in public method
torch/multiprocessing/reductions.py:44 in public method `expired`:
        D102: Missing docstring in public method
torch/multiprocessing/reductions.py:47 in public method `__del__`:
        D105: Missing docstring in magic method
torch/multiprocessing/reductions.py:50 in public method `__hash__`:
        D105: Missing docstring in magic method
torch/multiprocessing/reductions.py:53 in public method `__eq__`:
        D105: Missing docstring in magic method
torch/multiprocessing/reductions.py:60 in public class `SharedCache`:
        D400: First line should end with a period (not 'f')
torch/multiprocessing/reductions.py:62 in public method `__init__`:
        D107: Missing docstring in __init__
torch/multiprocessing/reductions.py:75 in public method `get`:
        D102: Missing docstring in public method
torch/multiprocessing/reductions.py:79 in public method `__setitem__`:
        D105: Missing docstring in magic method
torch/multiprocessing/reductions.py:85 in public method `free_dead_references`:
        D102: Missing docstring in public method
torch/multiprocessing/reductions.py:99 in public function `rebuild_event`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:103 in public function `reduce_event`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:108 in public function `rebuild_tensor`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:121 in public function `rebuild_cuda_tensor`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:189 in public function `reduce_tensor`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:347 in public function `rebuild_nested_tensor`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:364 in public function `reduce_nested_tensor`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:389 in public function `fd_id`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:397 in public function `storage_from_cache`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:404 in public function `rebuild_storage_fd`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:417 in public function `rebuild_storage_filename`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:437 in public function `rebuild_storage_empty`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:441 in public function `rebuild_typed_storage`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:446 in public function `reduce_typed_storage`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:450 in public function `rebuild_typed_storage_child`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:455 in public function `reduce_typed_storage_child`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:459 in public function `reduce_storage`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:488 in public function `init_reductions`:
        D103: Missing docstring in public function
31
```

**After: 29**

```
torch/multiprocessing/reductions.py:1 at module level:
        D100: Missing docstring in public module
torch/multiprocessing/reductions.py:32 in public method `__init__`:
        D107: Missing docstring in __init__
torch/multiprocessing/reductions.py:39 in public method `from_weakref`:
        D102: Missing docstring in public method
torch/multiprocessing/reductions.py:45 in public method `expired`:
        D102: Missing docstring in public method
torch/multiprocessing/reductions.py:48 in public method `__del__`:
        D105: Missing docstring in magic method
torch/multiprocessing/reductions.py:51 in public method `__hash__`:
        D105: Missing docstring in magic method
torch/multiprocessing/reductions.py:54 in public method `__eq__`:
        D105: Missing docstring in magic method
torch/multiprocessing/reductions.py:63 in public method `__init__`:
        D107: Missing docstring in __init__
torch/multiprocessing/reductions.py:76 in public method `get`:
        D102: Missing docstring in public method
torch/multiprocessing/reductions.py:80 in public method `__setitem__`:
        D105: Missing docstring in magic method
torch/multiprocessing/reductions.py:86 in public method `free_dead_references`:
        D102: Missing docstring in public method
torch/multiprocessing/reductions.py:100 in public function `rebuild_event`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:104 in public function `reduce_event`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:109 in public function `rebuild_tensor`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:122 in public function `rebuild_cuda_tensor`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:190 in public function `reduce_tensor`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:348 in public function `rebuild_nested_tensor`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:365 in public function `reduce_nested_tensor`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:390 in public function `fd_id`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:398 in public function `storage_from_cache`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:405 in public function `rebuild_storage_fd`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:418 in public function `rebuild_storage_filename`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:438 in public function `rebuild_storage_empty`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:442 in public function `rebuild_typed_storage`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:447 in public function `reduce_typed_storage`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:451 in public function `rebuild_typed_storage_child`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:456 in public function `reduce_typed_storage_child`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:460 in public function `reduce_storage`:
        D103: Missing docstring in public function
torch/multiprocessing/reductions.py:489 in public function `init_reductions`:
        D103: Missing docstring in public function
29
```

- `torch/multiprocessing/spawn.py` </br>
**Before: 19**

```
torch/multiprocessing/spawn.py:1 at module level:
        D100: Missing docstring in public module
torch/multiprocessing/spawn.py:11 in public class `ProcessException`:
        D101: Missing docstring in public class
torch/multiprocessing/spawn.py:14 in public method `__init__`:
        D107: Missing docstring in __init__
torch/multiprocessing/spawn.py:20 in public method `__reduce__`:
        D105: Missing docstring in magic method
torch/multiprocessing/spawn.py:25 in public class `ProcessRaisedException`:
        D205: 1 blank line required between summary line and description (found 0)
torch/multiprocessing/spawn.py:25 in public class `ProcessRaisedException`:
        D400: First line should end with a period (not 'n')
torch/multiprocessing/spawn.py:30 in public method `__init__`:
        D107: Missing docstring in __init__
torch/multiprocessing/spawn.py:40 in public class `ProcessExitedException`:
        D205: 1 blank line required between summary line and description (found 0)
torch/multiprocessing/spawn.py:40 in public class `ProcessExitedException`:
        D400: First line should end with a period (not 'l')
torch/multiprocessing/spawn.py:47 in public method `__init__`:
        D107: Missing docstring in __init__
torch/multiprocessing/spawn.py:59 in public method `__reduce__`:
        D105: Missing docstring in magic method
torch/multiprocessing/spawn.py:85 in public class `ProcessContext`:
        D101: Missing docstring in public class
torch/multiprocessing/spawn.py:86 in public method `__init__`:
        D107: Missing docstring in __init__
torch/multiprocessing/spawn.py:93 in public method `pids`:
        D102: Missing docstring in public method
torch/multiprocessing/spawn.py:97 in public method `join`:
        D205: 1 blank line required between summary line and description (found 0)
torch/multiprocessing/spawn.py:97 in public method `join`:
        D401: First line should be in imperative mood (perhaps 'Try', not 'Tries')
torch/multiprocessing/spawn.py:166 in public class `SpawnContext`:
        D101: Missing docstring in public class
torch/multiprocessing/spawn.py:167 in public method `__init__`:
        D107: Missing docstring in __init__
torch/multiprocessing/spawn.py:180 in public function `start_processes`:
        D103: Missing docstring in public function
19
```

**After: 13**

```
torch/multiprocessing/spawn.py:1 at module level:
        D100: Missing docstring in public module
torch/multiprocessing/spawn.py:11 in public class `ProcessException`:
        D101: Missing docstring in public class
torch/multiprocessing/spawn.py:14 in public method `__init__`:
        D107: Missing docstring in __init__
torch/multiprocessing/spawn.py:20 in public method `__reduce__`:
        D105: Missing docstring in magic method
torch/multiprocessing/spawn.py:27 in public method `__init__`:
        D107: Missing docstring in __init__
torch/multiprocessing/spawn.py:41 in public method `__init__`:
        D107: Missing docstring in __init__
torch/multiprocessing/spawn.py:53 in public method `__reduce__`:
        D105: Missing docstring in magic method
torch/multiprocessing/spawn.py:79 in public class `ProcessContext`:
        D101: Missing docstring in public class
torch/multiprocessing/spawn.py:80 in public method `__init__`:
        D107: Missing docstring in __init__
torch/multiprocessing/spawn.py:87 in public method `pids`:
        D102: Missing docstring in public method
torch/multiprocessing/spawn.py:161 in public class `SpawnContext`:
        D101: Missing docstring in public class
torch/multiprocessing/spawn.py:162 in public method `__init__`:
        D107: Missing docstring in __init__
torch/multiprocessing/spawn.py:175 in public function `start_processes`:
        D103: Missing docstring in public function
13
```

- `torch/multiprocessing/__init__.py` </br>
**Before: 0**

```
torch/multiprocessing/__init__.py:1 at module level:
        D205: 1 blank line required between summary line and description (found 0)
torch/multiprocessing/__init__.py:1 at module level:
        D400: First line should end with a period (not '`')
torch/multiprocessing/__init__.py:57 in public function `set_sharing_strategy`:
        D401: First line should be in imperative mood (perhaps 'Set', not 'Sets')
torch/multiprocessing/__init__.py:69 in public function `get_sharing_strategy`:
        D401: First line should be in imperative mood (perhaps 'Return', not 'Returns')
torch/multiprocessing/__init__.py:74 in public function `get_all_sharing_strategies`:
        D401: First line should be in imperative mood (perhaps 'Return', not 'Returns')
5
```

**After: 0**

- `torch/nn/__init__.py` </br>
**Before: 3**

```
torch/nn/__init__.py:1 at module level:
        D104: Missing docstring in public package
torch/nn/__init__.py:14 in public function `factory_kwargs`:
        D205: 1 blank line required between summary line and description (found 0)
torch/nn/__init__.py:14 in public function `factory_kwargs`:
        D400: First line should end with a period (not 'd')
3
```

**After: 1**

```
torch/nn/__init__.py:1 at module level:
        D104: Missing docstring in public package
1
```

- `torch/nn/cpp.py` </br>
**Before: 16**

```
torch/nn/cpp.py:7 in public class `OrderedDictWrapper`:
        D205: 1 blank line required between summary line and description (found 0)
torch/nn/cpp.py:7 in public class `OrderedDictWrapper`:
        D400: First line should end with a period (not 'e')
torch/nn/cpp.py:16 in public method `__init__`:
        D107: Missing docstring in __init__
torch/nn/cpp.py:21 in public method `cpp_dict`:
        D102: Missing docstring in public method
torch/nn/cpp.py:27 in public method `items`:
        D102: Missing docstring in public method
torch/nn/cpp.py:30 in public method `keys`:
        D102: Missing docstring in public method
torch/nn/cpp.py:33 in public method `values`:
        D102: Missing docstring in public method
torch/nn/cpp.py:36 in public method `__iter__`:
        D105: Missing docstring in magic method
torch/nn/cpp.py:39 in public method `__len__`:
        D105: Missing docstring in magic method
torch/nn/cpp.py:42 in public method `__contains__`:
        D105: Missing docstring in magic method
torch/nn/cpp.py:45 in public method `__getitem__`:
        D105: Missing docstring in magic method
torch/nn/cpp.py:50 in public class `ModuleWrapper`:
        D205: 1 blank line required between summary line and description (found 0)
torch/nn/cpp.py:50 in public class `ModuleWrapper`:
        D400: First line should end with a period (not 'd')
torch/nn/cpp.py:55 in public method `__init__`:
        D107: Missing docstring in __init__
torch/nn/cpp.py:83 in public method `training`:
        D102: Missing docstring in public method
torch/nn/cpp.py:90 in public method `__repr__`:
        D105: Missing docstring in magic method
16
```

**After: 12**

```
torch/nn/cpp.py:16 in public method `__init__`:
        D107: Missing docstring in __init__
torch/nn/cpp.py:21 in public method `cpp_dict`:
        D102: Missing docstring in public method
torch/nn/cpp.py:27 in public method `items`:
        D102: Missing docstring in public method
torch/nn/cpp.py:30 in public method `keys`:
        D102: Missing docstring in public method
torch/nn/cpp.py:33 in public method `values`:
        D102: Missing docstring in public method
torch/nn/cpp.py:36 in public method `__iter__`:
        D105: Missing docstring in magic method
torch/nn/cpp.py:39 in public method `__len__`:
        D105: Missing docstring in magic method
torch/nn/cpp.py:42 in public method `__contains__`:
        D105: Missing docstring in magic method
torch/nn/cpp.py:45 in public method `__getitem__`:
        D105: Missing docstring in magic method
torch/nn/cpp.py:52 in public method `__init__`:
        D107: Missing docstring in __init__
torch/nn/cpp.py:80 in public method `training`:
        D102: Missing docstring in public method
torch/nn/cpp.py:87 in public method `__repr__`:
        D105: Missing docstring in magic method
12
```

- `torch/nn/grad.py` </br>
**Before: 10**

```
torch/nn/grad.py:1 at module level:
        D400: First line should end with a period (not 'e')
torch/nn/grad.py:8 in public function `conv1d_input`:
        D205: 1 blank line required between summary line and description (found 0)
torch/nn/grad.py:8 in public function `conv1d_input`:
        D401: First line should be in imperative mood (perhaps 'Compute', not 'Computes')
torch/nn/grad.py:40 in public function `conv1d_weight`:
        D401: First line should be in imperative mood (perhaps 'Compute', not 'Computes')
torch/nn/grad.py:71 in public function `conv2d_input`:
        D205: 1 blank line required between summary line and description (found 0)
torch/nn/grad.py:71 in public function `conv2d_input`:
        D401: First line should be in imperative mood (perhaps 'Compute', not 'Computes')
torch/nn/grad.py:103 in public function `conv2d_weight`:
        D401: First line should be in imperative mood (perhaps 'Compute', not 'Computes')
torch/nn/grad.py:134 in public function `conv3d_input`:
        D205: 1 blank line required between summary line and description (found 0)
torch/nn/grad.py:134 in public function `conv3d_input`:
        D401: First line should be in imperative mood (perhaps 'Compute', not 'Computes')
torch/nn/grad.py:166 in public function `conv3d_weight`:
        D401: First line should be in imperative mood (perhaps 'Compute', not 'Computes')
10
```

**After: 0**

- `torch/nn/parameter.py` </br>
**Before: 17**

```
torch/nn/parameter.py:1 at module level:
        D100: Missing docstring in public module
torch/nn/parameter.py:14 in public class `Parameter`:
        D204: 1 blank line required after class docstring (found 0)
torch/nn/parameter.py:33 in public method `__new__`:
        D102: Missing docstring in public method
torch/nn/parameter.py:54 in public method `__deepcopy__`:
        D105: Missing docstring in magic method
torch/nn/parameter.py:62 in public method `__repr__`:
        D105: Missing docstring in magic method
torch/nn/parameter.py:65 in public method `__reduce_ex__`:
        D105: Missing docstring in magic method
torch/nn/parameter.py:84 in public class `UninitializedTensorMixin`:
        D101: Missing docstring in public class
torch/nn/parameter.py:105 in public method `materialize`:
        D205: 1 blank line required between summary line and description (found 0)
torch/nn/parameter.py:125 in public method `shape`:
        D102: Missing docstring in public method
torch/nn/parameter.py:132 in public method `share_memory_`:
        D102: Missing docstring in public method
torch/nn/parameter.py:138 in public method `__repr__`:
        D105: Missing docstring in magic method
torch/nn/parameter.py:141 in public method `__reduce_ex__`:
        D105: Missing docstring in magic method
torch/nn/parameter.py:149 in public method `__torch_function__`:
        D105: Missing docstring in magic method
torch/nn/parameter.py:164 in public function `is_lazy`:
        D103: Missing docstring in public function
torch/nn/parameter.py:186 in public method `__new__`:
        D102: Missing docstring in public method
torch/nn/parameter.py:191 in public method `__deepcopy__`:
        D105: Missing docstring in magic method
torch/nn/parameter.py:217 in public method `__new__`:
        D102: Missing docstring in public method
17
```

**After: 15**

```
torch/nn/parameter.py:1 at module level:
        D100: Missing docstring in public module
torch/nn/parameter.py:34 in public method `__new__`:
        D102: Missing docstring in public method
torch/nn/parameter.py:55 in public method `__deepcopy__`:
        D105: Missing docstring in magic method
torch/nn/parameter.py:63 in public method `__repr__`:
        D105: Missing docstring in magic method
torch/nn/parameter.py:66 in public method `__reduce_ex__`:
        D105: Missing docstring in magic method
torch/nn/parameter.py:85 in public class `UninitializedTensorMixin`:
        D101: Missing docstring in public class
torch/nn/parameter.py:127 in public method `shape`:
        D102: Missing docstring in public method
torch/nn/parameter.py:134 in public method `share_memory_`:
        D102: Missing docstring in public method
torch/nn/parameter.py:140 in public method `__repr__`:
        D105: Missing docstring in magic method
torch/nn/parameter.py:143 in public method `__reduce_ex__`:
        D105: Missing docstring in magic method
torch/nn/parameter.py:151 in public method `__torch_function__`:
        D105: Missing docstring in magic method
torch/nn/parameter.py:166 in public function `is_lazy`:
        D103: Missing docstring in public function
torch/nn/parameter.py:188 in public method `__new__`:
        D102: Missing docstring in public method
torch/nn/parameter.py:193 in public method `__deepcopy__`:
        D105: Missing docstring in magic method
torch/nn/parameter.py:219 in public method `__new__`:
        D102: Missing docstring in public method
15
```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/113052
Approved by: https://github.com/mikaylagawarecki, https://github.com/soulitzer
2023-11-10 21:19:17 +00:00
Edward Z. Yang
3bf922a6ce Apply UFMT to low traffic torch modules (#106249)
Signed-off-by: Edward Z. Yang <ezyang@meta.com>

Pull Request resolved: https://github.com/pytorch/pytorch/pull/106249
Approved by: https://github.com/Skylion007
2023-07-29 23:37:30 +00:00
Aaron Gokaslan
738ba13b35 [BE]: enable PLE error codes in ruff and fix bugs (#101079)
Enables PyLint error codes implemented in ruff. These are un-opinionated static analysis checks on Python code that finds common bugs. After running all the PLE error codes that are implemented in ruff, I fixed the bugs, added a few ignores for malformed Python code that is part of our JIT test script, and finally added a few ignores for a false positive on PLE0605 and submitted an issue upstream to fix in ruff https://github.com/charliermarsh/ruff/issues/4345 .

Common bugs found here include analysis for malformed logging format calls, bad string format calls, invalid escape sequences, and more.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/101079
Approved by: https://github.com/malfet
2023-05-11 23:57:25 +00:00
PyTorch MergeBot
73b7702b7e Revert "FIX make sure we import the correct object from multiprocessing (#81862)"
This reverts commit 701cdbb6a5.

Reverted https://github.com/pytorch/pytorch/pull/81862 on behalf of https://github.com/facebook-github-bot due to Diff reverted internally
2023-03-22 17:22:47 +00:00
tommoral
701cdbb6a5 FIX make sure we import the correct object from multiprocessing (#81862)
Fixes #44687.

The issue was that the Process object is not the one from the `_default_context` which should be `loky` when nesting `loky` calls.

This is a revamp of #53282 that was reverted because it broke some other tests.
How can I run the failing tests so I can see why this breaks?

Pull Request resolved: https://github.com/pytorch/pytorch/pull/81862
Approved by: https://github.com/VitalyFedyunin, https://github.com/janeyx99
2023-03-21 14:48:17 +00:00
PyTorch MergeBot
3c9479dc30 Revert "FIX make sure we import the correct object from multiprocessing (#53282)"
This reverts commit e103d6af3d.

Reverted https://github.com/pytorch/pytorch/pull/53282 on behalf of https://github.com/janeyx99 due to Sorry, reverting as this breaks 10.2 tests on trunk e103d6af3d
2022-07-20 20:28:39 +00:00
tomMoral
e103d6af3d FIX make sure we import the correct object from multiprocessing (#53282)
Fixes #44687.

The issue was that the Process object is not the one from the `_default_context` which should be `loky` when nesting `loky` calls.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/53282
Approved by: https://github.com/VitalyFedyunin
2022-07-20 16:52:03 +00:00
Sam Estep
4753100a3b Un-ignore F403 in .flake8 (#55838)
Summary:
Generally wildcard imports are bad for the reasons described here: https://www.flake8rules.com/rules/F403.html

This PR replaces wildcard imports with an explicit list of imported items where possible, and adds a `# noqa: F403` comment in the other cases (mostly re-exports in `__init__.py` files).

This is a prerequisite for https://github.com/pytorch/pytorch/issues/55816, because currently [`tools/codegen/dest/register_dispatch_key.py` simply fails if you sort its imports](https://github.com/pytorch/pytorch/actions/runs/742505908).

Pull Request resolved: https://github.com/pytorch/pytorch/pull/55838

Test Plan: CI. You can also run `flake8` locally.

Reviewed By: jbschlosser

Differential Revision: D27724232

Pulled By: samestep

fbshipit-source-id: 269fb09cb4168f8a51fd65bfaacc6cda7fb87c34
2021-04-13 09:24:07 -07:00
Hugo van Kemenade
473e78c0fa Remove redundant code for unsupported Python versions (#49486)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/49486

Remove code for Python 3.5 and lower.

There's more that can be removed/modernised, but sticking mainly to redundant version checks here, to keep the diff/PR smaller.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/46579

Reviewed By: zou3519

Differential Revision: D24453571

Pulled By: ezyang

fbshipit-source-id: c2cfcf05d6c5f65df64d89c331692c9aec09248e
2021-01-06 12:45:46 -08:00
Samuel Marks
e6779d4357 [*.py] Rename "Arguments:" to "Args:" (#49736)
Summary:
I've written custom parsers and emitters for everything from docstrings to classes and functions. However, I recently came across an issue when I was parsing/generating from the TensorFlow codebase: inconsistent use of `Args:` and `Arguments:` in its docstrings.

```sh
(pytorch#c348fae)$ for name in 'Args:' 'Arguments:'; do
    printf '%-10s %04d\n' "$name" "$(rg -IFtpy --count-matches "$name" | paste -s -d+ -- | bc)"; done
Args:      1095
Arguments: 0336
```

It is easy enough to extend my parsers to support both variants, however it looks like `Arguments:` is wrong anyway, as per:

  - https://google.github.io/styleguide/pyguide.html#doc-function-args @ [`ddccc0f`](https://github.com/google/styleguide/blob/ddccc0f/pyguide.md)

  - https://chromium.googlesource.com/chromiumos/docs/+/master/styleguide/python.md#describing-arguments-in-docstrings @ [`9fc0fc0`](https://chromium.googlesource.com/chromiumos/docs/+/9fc0fc0/styleguide/python.md)

  - https://sphinxcontrib-napoleon.readthedocs.io/en/latest/example_google.html @ [`c0ae8e3`](https://github.com/sphinx-contrib/napoleon/blob/c0ae8e3/docs/source/example_google.rst)

Therefore, only `Args:` is valid. This PR replaces them throughout the codebase.

PS: For related PRs, see tensorflow/tensorflow/pull/45420

PPS: The trackbacks automatically appearing below are sending the same changes to other repositories in the [PyTorch](https://github.com/pytorch) organisation.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/49736

Reviewed By: albanD

Differential Revision: D25710534

Pulled By: soumith

fbshipit-source-id: 61e8ff01abb433e9f78185c2d1d0cbd7c22c1619
2020-12-28 09:34:47 -08:00
Guilherme Leobas
cf92b0f3a0 add type annotations to multiprocessing module (#47756)
Summary:
Fixes https://github.com/pytorch/pytorch/issues/47757

Pull Request resolved: https://github.com/pytorch/pytorch/pull/47756

Reviewed By: malfet

Differential Revision: D24970773

Pulled By: ezyang

fbshipit-source-id: b0b9edb9cc1057829c6320e78174c6d5f7a77477
2020-11-16 13:05:49 -08:00
Chester Liu
17a6bc7c1b Cleanup unused code for Python < 3.6 (#47822)
Summary:
I think these can be safely removed since the min version of supported Python is now 3.6

Pull Request resolved: https://github.com/pytorch/pytorch/pull/47822

Reviewed By: smessmer

Differential Revision: D24954936

Pulled By: ezyang

fbshipit-source-id: 5d4b2aeb78fc97d7ee4abaf5fb2aae21bf765e8b
2020-11-13 21:37:01 -08:00
Aliaksandr Ivanou
3ffd2af8cd Add exception classification to torch.multiprocessing.spawn (#45174)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/45174

Introduce different types of exceptions that map to different failures
of torch.multiprocessing.spawn. The change introduces three different exception types:
ProcessRaisedException - occurs when the process initiated by spawn raises an exception
ProcessExitedException - occurs when the process initiated by spawn exits
The following logic will allow frameworks that use mp.spawn to categorize failures.
This can be helpful for tracking metrics and enhancing logs.

Test Plan: Imported from OSS

Reviewed By: taohe

Differential Revision: D23889400

Pulled By: tierex

fbshipit-source-id: 8849624c616230a6a81158c52ce0c18beb437330
2020-10-09 12:59:41 -07:00
Ailing Zhang
a997f224ac Add torch.multiprocessing.create_processes
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/28493

Differential Revision: D18766066

Pulled By: ailzhang

fbshipit-source-id: 7f424c8fae3012be2416cf9bc72ee2dde40c1f89
2019-12-03 10:38:19 -08:00
なるみ
d83389d327 Ignore F401 in all __init__.py without putting noqa (#25823)
Summary:
By adding `per-file-ignores = __init__.py: F401` into `.flake8` with `flake8>=3.7`, we can ignore F410 in all `__init__.py` without putting `# noqa: F401` line by line.

http://flake8.pycqa.org/en/latest/user/options.html?highlight=per-file-ignores#cmdoption-flake8-per-file-ignores
Pull Request resolved: https://github.com/pytorch/pytorch/pull/25823

Differential Revision: D17252182

Pulled By: soumith

fbshipit-source-id: 87b174075b79e4078953a7521bd1a8f82405646b
2019-10-23 15:28:13 -07:00
SsnL
e982e46de3 Add multiprocessing_context= argument to DataLoader (#22990)
Summary:
Fixes https://github.com/pytorch/pytorch/issues/22131
Pull Request resolved: https://github.com/pytorch/pytorch/pull/22990

Differential Revision: D16539052

Pulled By: colesbury

fbshipit-source-id: b1c48ae2fb54065dd96a67be263254129e02eaa2
2019-07-29 12:58:40 -07:00
Edward Yang
173f224570 Turn on F401: Unused import warning. (#18598)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/18598
ghimport-source-id: c74597e5e7437e94a43c163cee0639b20d0d0c6a

Stack from [ghstack](https://github.com/ezyang/ghstack):
* **#18598 Turn on F401: Unused import warning.**

This was requested by someone at Facebook; this lint is turned
on for Facebook by default.  "Sure, why not."

I had to noqa a number of imports in __init__.  Hypothetically
we're supposed to use __all__ in this case, but I was too lazy
to fix it.  Left for future work.

Be careful!  flake8-2 and flake8-3 behave differently with
respect to import resolution for # type: comments.  flake8-3 will
report an import unused; flake8-2 will not.  For now, I just
noqa'd all these sites.

All the changes were done by hand.

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

Differential Revision: D14687478

fbshipit-source-id: 30d532381e914091aadfa0d2a5a89404819663e3
2019-03-30 09:01:17 -07:00
Pieter Noordhuis
220ce8046e Binding for prctl(PR_SET_PDEATHSIG) (#14491)
Summary:
If torch.multiprocessing.spawn is used to launch non-daemonic
processes (the default since #14391), the spawned children won't be
automatically terminated when the parent terminates.

On Linux, we can address this by setting PR_SET_PDEATHSIG, which
delivers a configurable signal to child processes when their parent
terminates.

Fixes #14394.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/14491

Differential Revision: D13270374

Pulled By: pietern

fbshipit-source-id: 092c9d3c3cea2622c3766b467957bc27a1bd500c
2018-11-29 20:09:19 -08:00
Teng Li
778e23606b multiprocessing.spawn python version check (#14039)
Summary:
This will be super helpful to the user
Pull Request resolved: https://github.com/pytorch/pytorch/pull/14039

Differential Revision: D13089200

Pulled By: teng-li

fbshipit-source-id: 29e7507bd8fe5a0c58a85c52f976bfca282b4c1b
2018-11-16 18:53:23 -08:00
Pieter Noordhuis
1caa341c68 Add torch.multiprocessing.spawn docs
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/13846

Differential Revision: D13029595

Pulled By: pietern

fbshipit-source-id: b733b00f7070c18535c31801f20e6e717eec7748
2018-11-12 14:39:52 -08:00
Pieter Noordhuis
be424de869 Add torch.multiprocessing.spawn helper (#13518)
Summary:
This helper addresses a common pattern where one spawns N processes to
work on some common task (e.g. parallel preprocessing or multiple
training loops).

A straightforward approach is to use the multiprocessing API directly
and then consecutively call join on the resulting processes.

This pattern breaks down in the face of errors. If one of the
processes terminates with an exception or via some signal, and it is
not the first process that was launched, the join call on the first
process won't be affected. This helper seeks to solve this by waiting
on termination from any of the spawned processes. When any process
terminates with a non-zero exit status, it terminates the remaining
processes, and raises an exception in the parent process. If the
process terminated with an exception, it is propagated to the parent.
If the process terminated via a signal (e.g. SIGINT, SIGSEGV), this is
mentioned in the exception as well.

Requires Python >= 3.4.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/13518

Reviewed By: orionr

Differential Revision: D12929045

Pulled By: pietern

fbshipit-source-id: 00df19fa16a568d1e22f37a2ba65677ab0cce3fd
2018-11-06 14:08:37 -08:00
peterjc123
aa911939a3 Improve Windows Compatibility (for csrc/scripts) (#2941) 2017-11-08 19:51:35 +01:00
Adam Paszke
58320d5082 Add multiprocessing docs 2017-01-03 18:31:08 -05:00
Sam Gross
24af02154c Use ForkingPickler for sharing tensor/storages across processes (#344)
This hooks into the (internal) ForkingPickler class in multiprocessing
to reduce tensors, storages, and CUDA events instead of our queue from
joblib. This makes it easier to use the standard multiprocessing classes
in later versions of Python.

This also exposes:

 - Tensor/Storage.share_memory_()
 - Module.share_memory()

These methods move the CPU tensors and storages to shared memory. If
you're using the "fork" method of multiprocessing, these objects can be
directly inherited instead of serialized through a queue.
2016-12-28 20:34:23 -05:00
Sam Gross
bb72ccf1a5 Support CUDA IPC in Python 3 (#203)
CUDA IPC only works with Python 3 using the "spawn" start method. You
can select the start method using the get_context method:

 import torch.multiprocessing as mp
 ctx = mp.get_context('spawn')
 queue = ctx.Queue()
 event = ctx.Event()
2016-12-19 20:42:53 -05:00
Sam Gross
8a09c45f28 Fix typo 2016-10-18 09:29:19 -07:00
Adam Paszke
e223564a55 Fix multiprocessing on OS X 2016-09-16 18:27:07 -04:00
Adam Paszke
58f507f9e3 Add file descriptor sharing mode to multiprocessing 2016-09-08 11:23:33 -07:00
Adam Paszke
f9d186d33a Add initial version of multiprocessing module 2016-08-31 19:46:08 -07:00