128 Commits

Author SHA1 Message Date
af42256db4 Fix missing brackets (#165138)
As stated in the title.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/165138
Approved by: https://github.com/Aidyn-A, https://github.com/Skylion007
2025-10-10 17:23:31 +00:00
4ab847bbc7 Pyrefly suppressions 4/n (#164615)
Adds suppressions to pyrefly will typecheck clean: https://github.com/pytorch/pytorch/issues/163283

Test plan:
dmypy restart && python3 scripts/lintrunner.py -a
pyrefly check

step 1: uncomment lines in the pyrefly.toml file
step 2: run pyrefly check
step 3: add suppressions, clean up unused suppressions
before: https://gist.github.com/maggiemoss/356645cf8cfe33123d9a27f23b30f7b1

after:

0 errors (2,753 ignored)

Pull Request resolved: https://github.com/pytorch/pytorch/pull/164615
Approved by: https://github.com/oulgen
2025-10-06 16:14:36 +00:00
f9fa138a39 [BE] Delete all pre py-3.10 checks (#163653)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/163653
Approved by: https://github.com/jansel
ghstack dependencies: #163648, #163649
2025-09-23 23:22:53 +00:00
db259bd6b8 [BE][12/16] fix typos in torch/ (#156602)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/156602
Approved by: https://github.com/justinchuby, https://github.com/albanD
ghstack dependencies: #156318, #156320
2025-07-02 22:55:29 +00:00
2e0e08588e [BE][PYFMT] migrate PYFMT for torch/[e-n]*/ to ruff format (#144553)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/144553
Approved by: https://github.com/ezyang
ghstack dependencies: #144551
2025-06-17 08:18:47 +00:00
8fdd61bc45 Fix torchscript issues with reference quantized modules (#150870)
Summary:
The reference quantized modules for linear / conv / etc fail to torchscript due to two issues

(1) The type of torch.qscheme doesn't script
(2) The "_DTYPE_TO_QVALUE_BOUNDS" values were resolving to union[float, int] instead of just int. We fix that with a hard cast.

See: <internal post> + comments for more context

Test Plan: unit tests + fixing this NB N6923590

Differential Revision: D72652616

Pull Request resolved: https://github.com/pytorch/pytorch/pull/150870
Approved by: https://github.com/jerryzh168
2025-04-10 20:14:45 +00:00
cyy
ee97d80be2 Apply Ruff fixes and pyupgrade to torch/jit (#144208)
Fixes #ISSUE_NUMBER

Pull Request resolved: https://github.com/pytorch/pytorch/pull/144208
Approved by: https://github.com/davidberard98
2025-01-16 00:28:50 +00:00
12e95aa4ee [BE]: Apply PERF401 autofixes from ruff (#140980)
* Automatically applies ruff rule 401. Turns loops into equivalent list comprehensions which are faster and do not leak the scope of the loop variables.
* list comprehensions not only often have better typing, but are 50+% faster than for loops on overhead. They also preserve length information etc and are better for the interpreter to optimize.
* Manually went back and made mypy happy after the change.
* Also fixed style lints in files covered by flake8 but not by pyfmt

Pull Request resolved: https://github.com/pytorch/pytorch/pull/140980
Approved by: https://github.com/justinchuby, https://github.com/malfet
2024-11-20 17:52:07 +00:00
c0582fd0f8 Remove unused Python variables in torch/[b-z]* (#136963)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/136963
Approved by: https://github.com/ezyang
2024-10-19 16:45:22 +00:00
758a0a88a2 [BE][Easy] enable ruff rule PIE790: unnecessary pass statement (#133200)
This PR removes unnecessary `pass` statement. This is semanticly safe because the bytecode for the Python code does not change.

Note that if there is a docstring in the function, a empty function does not need a `pass` statement as placeholder.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/133200
Approved by: https://github.com/malfet, https://github.com/eqy, https://github.com/kit1980
2024-08-15 15:50:19 +00:00
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
72d2dba992 Add None return type to init (#132335)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/132335
Approved by: https://github.com/albanD
2024-08-01 15:26:45 +00:00
609447a626 Revert "[BE] typing for decorators - _jit_internal (#131573)"
This reverts commit f0f20f7e97716b4b077dca2a1a42930ccf990c1c.

Reverted https://github.com/pytorch/pytorch/pull/131573 on behalf of https://github.com/clee2000 due to breaking lint internally D60265575 ([comment](https://github.com/pytorch/pytorch/pull/131572#issuecomment-2254328359))
2024-07-28 03:29:32 +00:00
f0f20f7e97 [BE] typing for decorators - _jit_internal (#131573)
See #131429

Pull Request resolved: https://github.com/pytorch/pytorch/pull/131573
Approved by: https://github.com/oulgen, https://github.com/zou3519
ghstack dependencies: #131568, #131569, #131570, #131571, #131572
2024-07-25 22:24:19 +00:00
973037be6a [BE][Easy] apply autofix for ruff rules unnecessary-collection-call (C408): list() / tuple() / dict() (#130199)
This PR changes the empty collection factory call to Python literals:

- `list()` -> `[]`
- `tuple()` -> `()`
- `dict()` -> `{}`

The Python literals are more performant and safer. For example, the bytecode for building an empty dictionary:

```bash
$ python3 -m dis - <<EOS
import collections

d1 = {}
d2 = dict()

dict = collections.OrderedDict
d3 = dict()
EOS
```

```text
  0           0 RESUME                   0

  1           2 LOAD_CONST               0 (0)
              4 LOAD_CONST               1 (None)
              6 IMPORT_NAME              0 (collections)
              8 STORE_NAME               0 (collections)

  3          10 BUILD_MAP                0
             12 STORE_NAME               1 (d1)

  4          14 PUSH_NULL
             16 LOAD_NAME                2 (dict)
             18 CALL                     0
             26 STORE_NAME               3 (d2)

  6          28 LOAD_NAME                0 (collections)
             30 LOAD_ATTR                8 (OrderedDict)
             50 STORE_NAME               2 (dict)

  7          52 PUSH_NULL
             54 LOAD_NAME                2 (dict)
             56 CALL                     0
             64 STORE_NAME               5 (d3)
             66 RETURN_CONST             1 (None)
```

The dict literal `{}` only has one bytecode `BUILD_MAP`, while the factory call `dict()` has three `PUSH_NULL + LOAD_NAME + CALL`. Also, the factory call is not safe if users override the `dict` name in `locals` or `globals` (see the example of replacing with `OrderedDict` above).

Pull Request resolved: https://github.com/pytorch/pytorch/pull/130199
Approved by: https://github.com/malfet
2024-07-11 17:30:28 +00:00
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
5a1216bb2e [BE]: Update ruff to 0.4.1 (#124549)
Update ruff to 0.4.1 .
This version fixes a lot false negatives/false positives, is 20-40% faster, and has various other bug fixes.

Below is a before and after table showing the execution time of ruff lint and ruff format in milliseconds courtesy of https://astral.sh/blog/ruff-v0.4.0

| Repository                                         | Linter (v0.3) | Linter (v0.4) | Formatter (v0.3) | Formatter (v0.4) |
|----------------------------------------------------|---------------|---------------|------------------|------------------|
| [pytorch/pytorch](https://github.com/pytorch/pytorch) | 328.7         | 251.8         | 351.1            | 274.9            |

Pull Request resolved: https://github.com/pytorch/pytorch/pull/124549
Approved by: https://github.com/ezyang
2024-04-21 14:06:23 +00:00
dccc1ca839 [torch] Use __prepare_scriptable__ for closures (#121553)
Summary:
This fixes a case left incomplete by https://github.com/pytorch/pytorch/pull/106229
The object is using __prepare_scriptable__ correctly inside of torch.jit.script()
but the clousre that is obtained below is using the non-prepared version.
This causes issues when the prepared and non-prepared versions are in different python modules.

Test Plan:
```
buck2 run mode/opt caffe2/test:jit -- -r test_decorator
```

Differential Revision: D54308741

Re-exporting, as #120806 #121307 were not properly merged.

Co-authored-by: Daniel Herrera <dherrera@meta.com>
Pull Request resolved: https://github.com/pytorch/pytorch/pull/121553
Approved by: https://github.com/huydhn, https://github.com/seemethere
2024-03-11 19:14:19 +00:00
fe5d8850e2 Fixed docstring errors in _fuser.py, _state.py, __init__.py, _freeze.py, _async.py, _recursive.py, _tensorboard_vis.py, _trace.py, _await.py, _check.py, _serialization.py, _script.py, annotations.py, _monkeytype_config.py (#113371)
Fixes #113194

docstrings updated.

Here are the outputs with the number before and after:-

1) torch/sparse/__init__.py

Before:
```
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:1 at module level:
        D104: Missing docstring in public package
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:183 in public function `sum`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:183 in public function `sum`:
        D400: First line should end with a period (not 'n')
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:183 in public function `sum`:
        D401: First line should be in imperative mood (perhaps 'Return', not 'Returns')
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:391 in public class `check_sparse_tensor_invariants`:
        D207: Docstring is under-indented
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:436 in public method `is_enabled`:
        D207: Docstring is under-indented
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:436 in public method `is_enabled`:
        D401: First line should be in imperative mood (perhaps 'Return', not 'Returns')
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:448 in public method `enable`:
        D207: Docstring is under-indented
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:468 in public method `disable`:
        D207: Docstring is under-indented
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:475 in public method `__init__`:
        D107: Missing docstring in __init__
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:479 in public method `__enter__`:
        D105: Missing docstring in magic method
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:486 in public method `__exit__`:
        D105: Missing docstring in magic method
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:492 in public method `__call__`:
        D102: Missing docstring in public method
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:502 in public function `as_sparse_gradcheck`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:502 in public function `as_sparse_gradcheck`:
        D400: First line should end with a period (not 'l')
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:502 in public function `as_sparse_gradcheck`:
        D401: First line should be in imperative mood (perhaps 'Decorate', not 'Decorator')
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:518 in private nested function `gradcheck_with_sparse_support`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:518 in private nested function `gradcheck_with_sparse_support`:
        D400: First line should end with a period (not 's')
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:518 in private nested function `gradcheck_with_sparse_support`:
        D401: First line should be in imperative mood; try rephrasing (found 'Same')
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:528 in private nested function `convert_to_strided_representation`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:528 in private nested function `convert_to_strided_representation`:
        D400: First line should end with a period (not 'n')
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:559 in private nested function `restore_from_strided_representation`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:559 in private nested function `restore_from_strided_representation`:
        D400: First line should end with a period (not 'd')
23
```
After:
```
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:1 at module level:
        D104: Missing docstring in public package
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:476 in public method `__init__`:
        D107: Missing docstring in __init__
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:480 in public method `__enter__`:
        D105: Missing docstring in magic method
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:487 in public method `__exit__`:
        D105: Missing docstring in magic method
/home/ubuntu/Desktop/Docathon/pytorch/torch/sparse/__init__.py:493 in public method `__call__`:
        D102: Missing docstring in public method
5
```
2) torch/contrib/_tensorboard_vis.py

Before:
```
/home/ubuntu/Desktop/Docathon/pytorch/torch/contrib/_tensorboard_vis.py:21 in public function `dump_tensorboard_summary`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/contrib/_tensorboard_vis.py:54 in public function `visualize_graph_executor`:
        D401: First line should be in imperative mood (perhaps 'Append', not 'Appends')
2
```
After:
```
/home/ubuntu/Desktop/Docathon/pytorch/torch/contrib/_tensorboard_vis.py:21 in public function `dump_tensorboard_summary`:
        D103: Missing docstring in public function
1
```
3) torch/jit/_state.py

Before:
```
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_state.py:1 at module level:
        D400: First line should end with a period (not 'e')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_state.py:20 in public method `__init__`:
        D107: Missing docstring in __init__
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_state.py:25 in public method `parse_env`:
        D102: Missing docstring in public method
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_state.py:41 in public method `__bool__`:
        D105: Missing docstring in magic method
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_state.py:48 in public function `disable`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_state.py:52 in public function `enable`:
        D103: Missing docstring in public function
6
```
After:
```
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_state.py:20 in public method `__init__`:
        D107: Missing docstring in __init__
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_state.py:25 in public method `parse_env`:
        D102: Missing docstring in public method
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_state.py:41 in public method `__bool__`:
        D105: Missing docstring in magic method
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_state.py:48 in public function `disable`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_state.py:52 in public function `enable`:
        D103: Missing docstring in public function
5
```
4) torch/jit/_monkeytype_config.py

Before:
```
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:27 in public function `is_torch_native_class`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:40 in public function `get_type`:
        D200: One-line docstring should fit on one line with quotes (found 3)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:40 in public function `get_type`:
        D401: First line should be in imperative mood; try rephrasing (found 'Helper')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:62 in public function `get_optional_of_element_type`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:62 in public function `get_optional_of_element_type`:
        D400: First line should end with a period (not 'l')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:62 in public function `get_optional_of_element_type`:
        D401: First line should be in imperative mood; try rephrasing (found 'Helper')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:75 in public function `get_qualified_name`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:84 in public method `__init__`:
        D107: Missing docstring in __init__
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:87 in public method `log`:
        D102: Missing docstring in public method
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:90 in public class `JitTypeTraceStore`:
        D101: Missing docstring in public class
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:91 in public method `__init__`:
        D107: Missing docstring in __init__
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:98 in public method `add`:
        D102: Missing docstring in public method
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:103 in public method `filter`:
        D102: Missing docstring in public method
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:111 in public method `analyze`:
        D102: Missing docstring in public method
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:122 in public method `consolidate_types`:
        D102: Missing docstring in public method
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:139 in public method `get_args_types`:
        D102: Missing docstring in public method
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:142 in public class `JitTypeTraceConfig`:
        D101: Missing docstring in public class
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:143 in public method `__init__`:
        D107: Missing docstring in __init__
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:148 in public method `trace_logger`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:148 in public method `trace_logger`:
        D400: First line should end with a period (not 'd')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:148 in public method `trace_logger`:
        D401: First line should be in imperative mood (perhaps 'Return', not 'Returns')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:154 in public method `trace_store`:
        D102: Missing docstring in public method
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:157 in public method `code_filter`:
        D102: Missing docstring in public method
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:163 in public class `JitTypeTraceStoreLogger`:
        D101: Missing docstring in public class
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:164 in public method `__init__`:
        D107: Missing docstring in __init__
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:167 in public class `JitTypeTraceStore`:
        D101: Missing docstring in public class
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:168 in public method `__init__`:
        D107: Missing docstring in __init__
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:171 in public class `JitTypeTraceConfig`:
        D101: Missing docstring in public class
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:172 in public method `__init__`:
        D107: Missing docstring in __init__
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:179 in public function `jit_code_filter`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:179 in public function `jit_code_filter`:
        D401: First line should be in imperative mood; try rephrasing (found 'Custom')
31
```
After:
```
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:27 in public function `is_torch_native_class`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:74 in public function `get_qualified_name`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:83 in public method `__init__`:
        D107: Missing docstring in __init__
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:86 in public method `log`:
        D102: Missing docstring in public method
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:89 in public class `JitTypeTraceStore`:
        D101: Missing docstring in public class
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:90 in public method `__init__`:
        D107: Missing docstring in __init__
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:97 in public method `add`:
        D102: Missing docstring in public method
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:102 in public method `filter`:
        D102: Missing docstring in public method
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:110 in public method `analyze`:
        D102: Missing docstring in public method
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:121 in public method `consolidate_types`:
        D102: Missing docstring in public method
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:138 in public method `get_args_types`:
        D102: Missing docstring in public method
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:141 in public class `JitTypeTraceConfig`:
        D101: Missing docstring in public class
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:142 in public method `__init__`:
        D107: Missing docstring in __init__
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:150 in public method `trace_store`:
        D102: Missing docstring in public method
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:153 in public method `code_filter`:
        D102: Missing docstring in public method
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:159 in public class `JitTypeTraceStoreLogger`:
        D101: Missing docstring in public class
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:160 in public method `__init__`:
        D107: Missing docstring in __init__
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:163 in public class `JitTypeTraceStore`:
        D101: Missing docstring in public class
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:164 in public method `__init__`:
        D107: Missing docstring in __init__
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:167 in public class `JitTypeTraceConfig`:
        D101: Missing docstring in public class
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_monkeytype_config.py:168 in public method `__init__`:
        D107: Missing docstring in __init__
21
```
5) torch/jit/_fuser.py

Before:
```
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_fuser.py:9 in public function `optimized_execution`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_fuser.py:9 in public function `optimized_execution`:
        D400: First line should end with a period (not 'n')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_fuser.py:9 in public function `optimized_execution`:
        D401: First line should be in imperative mood; try rephrasing (found 'A')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_fuser.py:23 in public function `fuser`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_fuser.py:23 in public function `fuser`:
        D400: First line should end with a period (not 'n')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_fuser.py:23 in public function `fuser`:
        D401: First line should be in imperative mood; try rephrasing (found 'A')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_fuser.py:136 in public function `set_fusion_strategy`:
        D401: First line should be in imperative mood (perhaps 'Set', not 'Sets')
7
```
After:
```
0
```
6) torch/jit/_async.py

Before:
```
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_async.py:1 at module level:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_async.py:1 at module level:
        D400: First line should end with a period (not 'I')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_async.py:20 in public function `fork`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_async.py:20 in public function `fork`:
        D400: First line should end with a period (not 'e')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_async.py:20 in public function `fork`:
        D401: First line should be in imperative mood (perhaps 'Create', not 'Creates')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_async.py:88 in public function `wait`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_async.py:88 in public function `wait`:
        D400: First line should end with a period (not 'e')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_async.py:88 in public function `wait`:
        D401: First line should be in imperative mood (perhaps 'Force', not 'Forces')
8
```
After:
```
0
```
7) torch/jit/_await.py

Before:
```
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_await.py:11 in private function `_awaitable`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_await.py:11 in private function `_awaitable`:
        D400: First line should end with a period (not ',')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_await.py:11 in private function `_awaitable`:
        D401: First line should be in imperative mood (perhaps 'Create', not 'Creates')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_await.py:19 in private function `_awaitable_wait`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_await.py:19 in private function `_awaitable_wait`:
        D400: First line should end with a period (not ',')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_await.py:19 in private function `_awaitable_wait`:
        D401: First line should be in imperative mood (perhaps 'Request', not 'Requests')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_await.py:27 in private function `_awaitable_nowait`:
        D200: One-line docstring should fit on one line with quotes (found 3)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_await.py:27 in private function `_awaitable_nowait`:
        D401: First line should be in imperative mood (perhaps 'Create', not 'Creates')
8
```
After:
```
0
```
8) torch/jit/_check.py

Before:
```
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_check.py:10 in public class `AttributeTypeIsSupportedChecker`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_check.py:10 in public class `AttributeTypeIsSupportedChecker`:
        D400: First line should end with a period (not 'e')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_check.py:10 in public class `AttributeTypeIsSupportedChecker`:
        D412: No blank lines allowed between a section header and its content ('Example')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_check.py:61 in public method `check`:
        D102: Missing docstring in public method
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_check.py:110 in public method `visit_Assign`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_check.py:110 in public method `visit_Assign`:
        D400: First line should end with a period (not 'n')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_check.py:132 in public method `visit_AnnAssign`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_check.py:132 in public method `visit_AnnAssign`:
        D400: First line should end with a period (not '`')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_check.py:187 in public method `visit_Call`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_check.py:187 in public method `visit_Call`:
        D400: First line should end with a period (not '`')
10
```
After:
```
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_check.py:58 in public method `check`:
        D102: Missing docstring in public method
1
```
9) torch/jit/_freeze.py

Before:
```
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_freeze.py:1 at module level:
        D400: First line should end with a period (not 'g')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_freeze.py:16 in public function `freeze`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_freeze.py:16 in public function `freeze`:
        D400: First line should end with a period (not 'd')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_freeze.py:127 in public function `run_frozen_optimizations`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_freeze.py:127 in public function `run_frozen_optimizations`:
        D401: First line should be in imperative mood (perhaps 'Run', not 'Runs')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_freeze.py:182 in public function `optimize_for_inference`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_freeze.py:182 in public function `optimize_for_inference`:
        D400: First line should end with a period (not 'e')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_freeze.py:182 in public function `optimize_for_inference`:
        D401: First line should be in imperative mood (perhaps 'Perform', not 'Performs')
8
```
After:
```
0
```
10) torch/jit/_recursive.py

Before:
```
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:69 in public function `make_stub`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:75 in public function `make_stub_from_method`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:90 in public function `make_stubs_from_exported_methods`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:103 in public function `jit_ignored_properties`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:155 in public class `SourceContext`:
        D101: Missing docstring in public class
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:156 in public method `__init__`:
        D107: Missing docstring in __init__
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:160 in public function `get_annotations`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:186 in public function `infer_concrete_type_builder`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:186 in public function `infer_concrete_type_builder`:
        D400: First line should end with a period (not 's')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:423 in public class `ConcreteTypeStore`:
        D101: Missing docstring in public class
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:427 in public method `__init__`:
        D107: Missing docstring in __init__
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:434 in public method `get_or_create_concrete_type`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:434 in public method `get_or_create_concrete_type`:
        D400: First line should end with a period (not 'T')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:459 in public function `create_methods_and_properties_from_stubs`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:474 in public function `create_hooks_from_stubs`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:485 in public function `get_module_concrete_type`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:485 in public function `get_module_concrete_type`:
        D400: First line should end with a period (not 'e')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:485 in public function `get_module_concrete_type`:
        D401: First line should be in imperative mood (perhaps 'Get', not 'Gets')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:539 in public function `create_script_module`:
        D400: First line should end with a period (not 'e')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:539 in public function `create_script_module`:
        D401: First line should be in imperative mood (perhaps 'Create', not 'Creates')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:725 in public function `script_model_defines_attr`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:735 in public function `add_python_attr_to_scripted_model`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:740 in public function `get_overload_annotations`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:772 in public function `get_overload_name_mapping`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:797 in public function `make_stubs_for_overloads`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:816 in public function `check_module_initialized`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:842 in public function `infer_methods_to_compile`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:842 in public function `infer_methods_to_compile`:
        D400: First line should end with a period (not 'g')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:842 in public function `infer_methods_to_compile`:
        D401: First line should be in imperative mood (perhaps 'Implement', not 'Implements')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:904 in public function `get_hook_stubs`:
        D200: One-line docstring should fit on one line with quotes (found 3)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:904 in public function `get_hook_stubs`:
        D400: First line should end with a period (not 's')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:904 in public function `get_hook_stubs`:
        D401: First line should be in imperative mood (perhaps 'Return', not 'Returns')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:940 in public function `get_property_stubs`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:940 in public function `get_property_stubs`:
        D400: First line should end with a period (not 'd')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:963 in public function `interface_script`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:963 in public function `interface_script`:
        D400: First line should end with a period (not 'r')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:963 in public function `interface_script`:
        D401: First line should be in imperative mood (perhaps 'Make', not 'Makes')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:977 in private nested function `infer_interface_methods_to_compile`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:977 in private nested function `infer_interface_methods_to_compile`:
        D400: First line should end with a period (not 'h')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:989 in public function `try_compile_fn`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:1014 in public function `wrap_cpp_class`:
        D200: One-line docstring should fit on one line with quotes (found 3)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:1021 in public function `wrap_cpp_module`:
        D200: One-line docstring should fit on one line with quotes (found 3)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:1021 in public function `wrap_cpp_module`:
        D400: First line should end with a period (not 's')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:1040 in public function `compile_unbound_method`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:1052 in public function `lazy_bind`:
        D205: 1 blank line required between summary line and description (found 0)
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:1052 in public function `lazy_bind`:
        D400: First line should end with a period (not 'd')
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:1052 in public function `lazy_bind`:
        D401: First line should be in imperative mood (perhaps 'Return', not 'Returns')
47
```
After:
```
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:69 in public function `make_stub`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:75 in public function `make_stub_from_method`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:90 in public function `make_stubs_from_exported_methods`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:103 in public function `jit_ignored_properties`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:155 in public class `SourceContext`:
        D101: Missing docstring in public class
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:156 in public method `__init__`:
        D107: Missing docstring in __init__
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:160 in public function `get_annotations`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:424 in public class `ConcreteTypeStore`:
        D101: Missing docstring in public class
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:428 in public method `__init__`:
        D107: Missing docstring in __init__
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:457 in public function `create_methods_and_properties_from_stubs`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:472 in public function `create_hooks_from_stubs`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:724 in public function `script_model_defines_attr`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:734 in public function `add_python_attr_to_scripted_model`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:739 in public function `get_overload_annotations`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:771 in public function `get_overload_name_mapping`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:796 in public function `make_stubs_for_overloads`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:815 in public function `check_module_initialized`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:979 in public function `try_compile_fn`:
        D103: Missing docstring in public function
/home/ubuntu/Desktop/Docathon/pytorch/torch/jit/_recursive.py:1026 in public function `compile_unbound_method`:
        D103: Missing docstring in public function
19
```

@svekars

Pull Request resolved: https://github.com/pytorch/pytorch/pull/113371
Approved by: https://github.com/davidberard98
2023-11-12 03:19:02 +00:00
660e8060ad [BE]: Update ruff to 0.285 (#107519)
This updates ruff to 0.285 which is faster, better, and have fixes a bunch of false negatives with regards to fstrings.

I also enabled RUF017 which looks for accidental quadratic list summation. Luckily, seems like there are no instances of it in our codebase, so enabling it so that it stays like that. :)

Pull Request resolved: https://github.com/pytorch/pytorch/pull/107519
Approved by: https://github.com/ezyang
2023-08-22 23:16:38 +00:00
d59a6864fb Revert "[BE]: Update ruff to 0.285 (#107519)"
This reverts commit 88ab3e43228b7440a33bf534cde493446a31538c.

Reverted https://github.com/pytorch/pytorch/pull/107519 on behalf of https://github.com/ZainRizvi due to Sorry, but this PR breaks internal tests. @ezyang, can you please hep them get unblocked? It seems like one of the strings was prob accidentally modified ([comment](https://github.com/pytorch/pytorch/pull/107519#issuecomment-1688833480))
2023-08-22 19:53:32 +00:00
88ab3e4322 [BE]: Update ruff to 0.285 (#107519)
This updates ruff to 0.285 which is faster, better, and have fixes a bunch of false negatives with regards to fstrings.

I also enabled RUF017 which looks for accidental quadratic list summation. Luckily, seems like there are no instances of it in our codebase, so enabling it so that it stays like that. :)

Pull Request resolved: https://github.com/pytorch/pytorch/pull/107519
Approved by: https://github.com/ezyang
2023-08-20 01:36:18 +00:00
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
6938494d03 [jit] move get_annotations out of infer_concrete_type_builder (#105197)
There's an internal use case for get_annotations - basically
1. make a module
2. copy annotations from the module to a fx-traced module
3. script the fx module

This isn't a public API but for internal use it's probably fine to reuse this logic instead of copying.

Differential Revision: [D47460370](https://our.internmc.facebook.com/intern/diff/D47460370/)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/105197
Approved by: https://github.com/eellison
2023-07-26 13:39:39 +00:00
6d43c89f37 [BE]: Update Ruff to 0.0.280 (#105724)
Removes unusued loop values in python dictionary iteration. Automated fix from Ruff master

Pull Request resolved: https://github.com/pytorch/pytorch/pull/105724
Approved by: https://github.com/ezyang, https://github.com/janeyx99
2023-07-22 23:03:34 +00:00
4cc1745b13 [BE] f-stringify torch/ and scripts (#105538)
This PR is a follow up on the pyupgrade series to convert more strings to use f-strings using `flynt`.

- https://docs.python.org/3/reference/lexical_analysis.html#f-strings
- https://pypi.org/project/flynt/

Command used:

```
flynt torch/ -ll 120
flynt scripts/ -ll 120
flynt tools/ -ll 120
```

and excluded `collect_env.py`

Pull Request resolved: https://github.com/pytorch/pytorch/pull/105538
Approved by: https://github.com/ezyang, https://github.com/malfet
2023-07-21 19:35:24 +00:00
79c5e33349 [BE] Enable ruff's UP rules and autoformat nn/ mps/ and torch/ (#105436)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/105436
Approved by: https://github.com/malfet, https://github.com/albanD
2023-07-21 07:38:46 +00:00
1ad435772b Added option to always call nn.Module global/non-global forward hooks (#104278)
Fix #103997

Pull Request resolved: https://github.com/pytorch/pytorch/pull/104278
Approved by: https://github.com/albanD
2023-07-10 18:58:07 +00:00
13ea3d8530 [jit] Fix inspect.get_annotations usage in python >= 3.10 (#104485)
Fixes #104484

For >= 3.10, we use `inspect.get_annotations` instead of `getattr(.., "__annotations__")`. [Docs](https://docs.python.org/3/library/inspect.html#inspect.get_annotations) say that get_annotations() "Ignores inherited annotations on classes. If a class doesn’t have its own annotations dict, returns an empty dict.". In practice though, this doesn't seem always true; until you call inspect.getmembers it seems like you still get inherited annotations. In particular, this means that if you script a certain type twice, the first time it may pass scripting but on the second try it may not pass scripting.

This PR adds a more comprehensive handling of get_annotations by recursively reading the annotations of the base types. (TorchScript doesn't officially support this; but since it worked in <3.10, it's now breaking internal stuff as python gets upgraded to 3.10)

Verified in #104486 that the test does actually fail before the changes in this PR were added.

Differential Revision: [D47163891](https://our.internmc.facebook.com/intern/diff/D47163891)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/104485
Approved by: https://github.com/eellison
2023-07-06 00:37:47 +00:00
2f6a371ae9 Revert "Optimize nn.Module __call__ fast path for dynamo (#95931)" (#96242)
Reverting due to concerns over silent unsoundness (skipped hooks) if users have directly added hooks dicts without using official torch APIs.

This reverts commit 26045336ca323fd27cff2a7340fe896117d5fb6e.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/96242
Approved by: https://github.com/albanD
2023-03-10 01:05:01 +00:00
26045336ca Optimize nn.Module __call__ fast path for dynamo (#95931)
This PR optimizes the guards overhead introduced by dynamo tracing module forward hooks.

It can and maybe should be followed by a wider change proposed by @voznesenskym to optimize specialized nnmodules by 'observing' any user mutations and directly invalidating the root guard, obviating the need to install other nnmodule guards.  (But this observer change seems more involved...)

Idea: maintain a flag, and keep it up to date whenever adding or
removing hooks. Use the flag rather than dict checks to enter the call fast path.
  - need to extend RemovableHandle to keep a ref to nnModule so it can update the flag on removal.
  - also need to handle the flag in ScriptModule which still uses the python call impl when called from python.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/95931
Approved by: https://github.com/ezyang, https://github.com/voznesenskym
2023-03-04 15:09:40 +00:00
67d9790985 [BE] Apply almost all remaining flake8-comprehension checks (#94676)
Applies the remaining flake8-comprehension fixes and checks. This changes replace all remaining unnecessary generator expressions with list/dict/set comprehensions which are more succinct, performant, and better supported by our torch.jit compiler. It also removes useless generators such as 'set(a for a in b)`, resolving it into just the set call.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/94676
Approved by: https://github.com/ezyang
2023-02-12 01:01:25 +00:00
5b1cedacde [BE] [2/3] Rewrite super() calls in functorch and torch (#94588)
Rewrite Python built-in class `super()` calls. Only non-semantic changes should be applied.

- #94587
- #94588
- #94592

Also, methods with only a `super()` call are removed:

```diff
class MyModule(nn.Module):
-   def __init__(self):
-       super().__init__()
-
    def forward(self, ...):
        ...
```

Some cases that change the semantics should be kept unchanged. E.g.:

f152a79be9/caffe2/python/net_printer.py (L184-L190)

f152a79be9/test/test_jit_fuser_te.py (L2628-L2635)

Pull Request resolved: https://github.com/pytorch/pytorch/pull/94588
Approved by: https://github.com/ezyang, https://github.com/albanD
2023-02-10 21:16:33 +00:00
1e2d82b8e4 [BE] Merge isinstance calls together (#94419)
Simplify and speeds up isinstance calls by checking for multiple types at the same time.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/94419
Approved by: https://github.com/ezyang
2023-02-09 00:47:26 +00:00
8fce9a09cd [BE]: pyupgrade Python to 3.8 - imports and object inheritance only (#94308)
Apply parts of pyupgrade to torch (starting with the safest changes).
This PR only does two things: removes the need to inherit from object and removes unused future imports.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/94308
Approved by: https://github.com/ezyang, https://github.com/albanD
2023-02-07 21:10:56 +00:00
9c80f13692 [Resubmit] state_dict_pre_hook (#90435)
Resubmit of https://github.com/pytorch/pytorch/pull/88541 which got stale.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/90435
Approved by: https://github.com/fegin
2022-12-08 07:54:14 +00:00
351d73b97f Fix exception causes all over the codebase (#90271)
This is the continuation to #90134 and hopefully the final PR in this series.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/90271
Approved by: https://github.com/kit1980
2022-12-07 04:29:00 +00:00
f5d18574a3 Allow Module forward-pre and forward hooks to take kwargs (#89389)
closes #35643

This PR is mostly borrowed from #82042. Thanks @Padarn for implementing
the first version and debugging into the errors.

Based on the discussion in #82042 this PR adds a with_kwargs
argument to register_forward_pre_hook and register_forward_hook
methods. When the arg is set to true, the provided hook must accept
kwargs args. Under the hook, this PR adds a
`_forward_pre_hooks_with_kwargs` and a `_forward_hook_with_kwargs`
set to keep track of which hooks accept kwargs.

Differential Revision: [D41431111](https://our.internmc.facebook.com/intern/diff/D41431111)

Pull Request resolved: https://github.com/pytorch/pytorch/pull/89389
Approved by: https://github.com/soulitzer
2022-11-23 02:43:32 +00:00
54ee95c8ec [nn] module: full_backward_pre_hook (#86700)
Fixes https://github.com/pytorch/pytorch/issues/42824

* [x] Test
* [x] Doc
Pull Request resolved: https://github.com/pytorch/pytorch/pull/86700
Approved by: https://github.com/soulitzer
2022-10-13 17:36:39 +00:00
d5bda29207 [JIT] Tweak annotation extraction for py3.10 (#81334)
The way Python-3.10+ deals with annotations has changed, see
https://docs.python.org/3/howto/annotations.html#accessing-the-annotations-dict-of-an-object-in-python-3-10-and-newer

In particular, derived classes would not inherit parent annotations as
following example clearly demonstrates:
```
class Base:
    a: int = 3
    b: str = 'abc'

class Derived(Base):
    pass

print(Derived.__annotations__)
```

if executed by 3.10 runtime, it will return an empty dict, while older
ones return annotations of the base class

Fix that by implementing this difference in `get_annotations` function

I wonder if in general, we should do it even for older versions of Python runtime

Pull Request resolved: https://github.com/pytorch/pytorch/pull/81334
Approved by: https://github.com/suo
2022-07-12 17:35:30 +00:00
817eb94ff4 Speed up module constructor by avoiding module.__setattr__ (#77098)
Module's overridden `__setattr__` has special handling for parameters, submodules, and buffers, resulting in reduces performance for its default attributes (which are not of those types). Setting them directly results in a significant improvement for module construction speed (~10x).
Pull Request resolved: https://github.com/pytorch/pytorch/pull/77098
Approved by: https://github.com/jbschlosser
2022-06-23 17:15:45 +00:00
0925597707 [JIT] Support for ParameterDict getattr
Adds support for scripting ParameterDicts and getattr() on them. It does
not support iterating on ParameterDicts because torch/nn/container.py
implementation of ParameterDict.items() uses a generator, which is not
supported by torchscript. torch/nn/container.py would need to be updated
so that iter gets correctly registered in python_sugared_value.cpp

Added a test in test_module_containers.py

Pull Request resolved: https://github.com/pytorch/pytorch/pull/77143

Approved by: https://github.com/eellison
2022-05-13 01:03:25 +00:00
91e9fcf5b0 sup torch script parameterlist
Fixes #61176

Pull Request resolved: https://github.com/pytorch/pytorch/pull/75479
Approved by: https://github.com/davidberard98
2022-04-20 20:53:07 +00:00
a1383a9cfa Reland torch.ops API change machinery with the core functionality disabled (#71785)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/71785

see https://github.com/pytorch/pytorch/pull/67254
ghstack-source-id: 147648699

Test Plan: github CI

Reviewed By: albanD

Differential Revision: D33777229

fbshipit-source-id: 517b36be9743025eb40d708d380dae62e3663184
(cherry picked from commit a637e695694d3fd615dbe821394bfe53d41b6901)
2022-02-02 16:06:29 +00:00
6964aa2ced backout D33469839 (#71443)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/71443

cogwheel test inline_cvr_infer_canary_pyper_model_publish is timing out.

The convert_fx call takes > 20 mins for local and local_ro sub modules, which used to take ~ 2 mins.

Test Plan:
Fblearn flow run
* the following cmd took 1113 seconds before the diff and 5002 seconds after.
    flow-cli clone-locally 320014219  --run-as-secure-group pytorch_at_scale  --operators pyper_model_publish_workflow.pyper_model_publish_workflow.process_torch_package_model_files.process_non_sparse_parameters[0]

Cogwheel test
* Cogwheel test with packages in B3588 (the last good run) took 4694.48s
* Cogwheel test with packages in B3590 (the first timeout) took 13975.83s
* Cogwheel test with the following packages took 4535.04s
  * all packages in B3588 except the model publish
  * the model publish built with D33469839 (043e84b3d2) reversed (created D33633570)

Reviewed By: albanD, jerryzh168

Differential Revision: D33633570

fbshipit-source-id: dc5e777c48a90c551641a3f79126461f6a60449e
(cherry picked from commit 03ab65023a9f4175584ddac1cca7eab51397c84a)
2022-01-18 23:51:51 +00:00
043e84b3d2 Per-overload torch.ops API (#67254)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/67254

Fixes https://github.com/pytorch/pytorch/issues/65997

BC breaking:
`output = torch.ops._test.leaky_relu(self=torch.tensor(-1.0))` now fails with the error `TypeError: __call__() got multiple values for argument 'self'` since we call into `OpOverloadBundle`'s `__call__` method that has `self` bound to it as its first argument.

Follow up work:
1. disallow `default` as an overload name for aten operators.
2. Add a method to obtain a list of all overloads (exclude the ones registered by JIT)
3. Add methods/properties to `OpOverload` to access more schema information (types of input and output args etc)

cc ezyang gchanan

Test Plan: Imported from OSS

Reviewed By: pbelevich

Differential Revision: D33469839

Pulled By: anjali411

fbshipit-source-id: c3fc43460f1c7c9651c64b4d46337be21c400621
2022-01-10 17:29:06 -08:00
402f2934bf Revert D33262228: Per-overload torch.ops API
Test Plan: revert-hammer

Differential Revision:
D33262228 (8e6d1738a4)

Original commit changeset: 600dbf511514

Original Phabricator Diff: D33262228 (8e6d1738a4)

fbshipit-source-id: 238fa88ea9c4f26c7511334765c07452fbca9655
2022-01-05 22:10:11 -08:00
8e6d1738a4 Per-overload torch.ops API (#67254)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/67254

Fixes https://github.com/pytorch/pytorch/issues/65997

TODO: disallow `default` as an overload name for aten operators.

BC breaking:
`output = torch.ops._test.leaky_relu(self=torch.tensor(-1.0))` now fails with the error `TypeError: __call__() got multiple values for argument 'self'` since we call into `OpOverloadBundle`'s `__call__` method that has `self` bound to it as its first argument.

cc ezyang gchanan

Test Plan: Imported from OSS

Reviewed By: albanD

Differential Revision: D33262228

Pulled By: anjali411

fbshipit-source-id: 600dbf511514ea9b41aea3e6b1bc1102dab08909
2022-01-05 15:17:41 -08:00
566922bbcd clean up mypy nit in torch/jit/_recursive.py (#66253)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/66253

This was initially broken in #65829 and unbroken in #66003, this PR cleans
it up by removing the mypy ignore line.

Test Plan:
```
mypy torch/jit/_recursive.py --no-incremental
```

Imported from OSS

Reviewed By: supriyar

Differential Revision: D31475100

fbshipit-source-id: 46ab2ede72c08b926f4f9a6b03b1a1375b884c8a
2021-10-08 18:07:33 -07:00
21da6ae9ce suppress mypy error (#66003)
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/66003

Differential Revision:
D31340874
D31340874

Test Plan: Imported from OSS

Reviewed By: seemethere

Pulled By: suo

fbshipit-source-id: d9ef0f40625fe5ff21f8a5e044d5a75400367dc2
2021-10-01 09:17:42 -07:00