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Author SHA1 Message Date
Yuanyuan Chen
f91899ca6c [2/N] Add strict parameter to Python zip calls (#166257) 
This PR adds `strict=True/False` to zip calls in test utils. strict=True is passed when possible.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/166257
Approved by: https://github.com/janeyx99
 2025-11-01 00:35:41 +00:00
PyTorch MergeBot
f60751024e Revert "[2/N] Add strict parameter to Python zip calls (#166257)" 
This reverts commit 39e5cdddf7.

Reverted https://github.com/pytorch/pytorch/pull/166257 on behalf of https://github.com/atalman due to Failing: test/distributed/fsdp/test_fsdp_mixed_precision.py::TestFSDPTrainEval::test_train_ema_eval_flow [GH job link](https://github.com/pytorch/pytorch/actions/runs/18934047991/job/54057218160) [HUD commit link](39e5cdddf7) ([comment](https://github.com/pytorch/pytorch/pull/166257#issuecomment-3467955332))
 2025-10-30 13:20:00 +00:00
Yuanyuan Chen
39e5cdddf7 [2/N] Add strict parameter to Python zip calls (#166257) 
This PR adds `strict=True/False` to zip calls in test utils. strict=True is passed when possible.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/166257
Approved by: https://github.com/janeyx99
 2025-10-30 08:10:10 +00:00
Maggie Moss
d1a6e006e0 Fix syntax for pyrefly errors (#166496) 
Last one! This ensures all existing suppressions match the syntax expected and will silence only one error code

pyrefly check
lintrunner

Pull Request resolved: https://github.com/pytorch/pytorch/pull/166496
Approved by: https://github.com/Skylion007, https://github.com/mlazos
 2025-10-29 20:00:25 +00:00
Maggie Moss
086dec3235 Pyrefly suppressions 6/n (#164877) 
Adds suppressions to pyrefly will typecheck clean: https://github.com/pytorch/pytorch/issues/163283

Almost there!

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

step 1: delete lines in the pyrefly.toml file from the project-excludes field
step 2: run pyrefly check
step 3: add suppressions, clean up unused suppressions
before: https://gist.github.com/maggiemoss/4b3bf2037014e116bc00706a16aef199

after:

INFO 0 errors (5,064 ignored)

Only four directories left to enable

Pull Request resolved: https://github.com/pytorch/pytorch/pull/164877
Approved by: https://github.com/oulgen
 2025-10-08 02:30:57 +00:00
Maggie Moss
1051c1de5c Add pyrefly suppressions 2/n (#164513) 
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
before: https://gist.github.com/maggiemoss/911b4d0bc88bf8cf3ab91f67184e9d46

after:
```
 INFO Checking project configured at `/Users/maggiemoss/python_projects/pytorch/pyrefly.toml`
 INFO 0 errors (1,152 ignored)
 ```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/164513
Approved by: https://github.com/oulgen
 2025-10-03 02:46:13 +00:00
Yuanyuan Chen
a43c4c3972 [5/N] Apply ruff UP035 rule (#164423) 
Continued code migration to enable ruff `UP035`. Most changes are about moving `Callable` from `typing` to `from collections.abc`.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/164423
Approved by: https://github.com/ezyang
 2025-10-02 07:31:11 +00:00
Xuehai Pan
5cedc5a0ff [BE][PYFMT] migrate PYFMT for torch/[p-z]*/ to ruff format (#144552) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/144552
Approved by: https://github.com/ezyang
 2025-08-07 00:09:56 +00:00
Aaron Gokaslan
a1dad2f2d2 [BE][Ez]: Autotype torch/profiler with ruff ANN (#157923) 
Apply ruff autotyping fixes to add annotations to torch profiler

Pull Request resolved: https://github.com/pytorch/pytorch/pull/157923
Approved by: https://github.com/albanD, https://github.com/sraikund16
 2025-07-09 22:07:50 +00:00
Xuehai Pan
cec2977ed2 [BE][6/16] fix typos in torch/ (#156316) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/156316
Approved by: https://github.com/albanD
ghstack dependencies: #156313, #156314, #156315
 2025-06-23 02:57:34 +00:00
PyTorch MergeBot
3f44fdc03d Revert "[BE][6/16] fix typos in torch/ (#156316)" 
This reverts commit b210cf1ea5.

Reverted https://github.com/pytorch/pytorch/pull/156316 on behalf of https://github.com/atalman due to export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_input_aliasing_contents_backend_aot_eager [GH job link](https://github.com/pytorch/pytorch/actions/runs/15804799771/job/44548489912) [HUD commit link](c95f7fa874) ([comment](https://github.com/pytorch/pytorch/pull/156313#issuecomment-2994171213))
 2025-06-22 12:31:57 +00:00
Xuehai Pan
b210cf1ea5 [BE][6/16] fix typos in torch/ (#156316) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/156316
Approved by: https://github.com/albanD
ghstack dependencies: #156313, #156314, #156315
 2025-06-22 08:43:33 +00:00
Aaron Gokaslan
edd640a95a [BE][Ez]: Use itertools.chain.from_iterable when possible (#148190) 
Often makes the code more readable, more efficient, and adds support for infinite iterables.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/148190
Approved by: https://github.com/jansel, https://github.com/malfet
 2025-03-06 20:37:06 +00:00
Aaron Orenstein
0afd335174 PEP585 update - torch/nn torch/optim torch/package torch/profiler torch/serialization torch/sparse torch/xpu (#145175) 
See #145101 for details.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145175
Approved by: https://github.com/bobrenjc93
 2025-01-21 16:57:27 +00:00
PyTorch MergeBot
5fd881a5b6 Revert "PEP585 update - torch/nn torch/optim torch/package torch/profiler torch/serialization torch/sparse torch/xpu (#145175)" 
This reverts commit 54a00af2c6.

Reverted https://github.com/pytorch/pytorch/pull/145175 on behalf of https://github.com/huydhn due to Sorry for reverting your change but it seems to break some trunk tests ([comment](https://github.com/pytorch/pytorch/pull/145175#issuecomment-2603418267))
 2025-01-21 00:49:55 +00:00
Aaron Orenstein
54a00af2c6 PEP585 update - torch/nn torch/optim torch/package torch/profiler torch/serialization torch/sparse torch/xpu (#145175) 
See #145101 for details.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145175
Approved by: https://github.com/bobrenjc93
 2025-01-20 22:32:59 +00:00
Xuehai Pan
dcc3cf7066 [BE] fix ruff rule E226: add missing whitespace around operator in f-strings (#144415) 
The fixes are generated by:

```bash
ruff check --fix --preview --unsafe-fixes --select=E226 .
lintrunner -a --take "RUFF,PYFMT" --all-files
```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/144415
Approved by: https://github.com/huydhn, https://github.com/Skylion007
 2025-01-08 21:55:00 +00:00
bobrenjc93
66059f80d2 Migrate from Tuple -> tuple in torch/profiler (#144257) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/144257
Approved by: https://github.com/sraikund16
 2025-01-06 23:34:14 +00:00
Tom Ritchford
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
Xuehai Pan
30293319a8 [BE][Easy][19/19] enforce style for empty lines in import segments in torch/[o-z]*/ (#129771) 
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/129771
Approved by: https://github.com/justinchuby, https://github.com/janeyx99
 2024-08-01 17:07:14 +00:00
Aaron Orenstein
8db9dfa2d7 Flip default value for mypy disallow_untyped_defs [9/11] (#127846) 
See #127836 for details.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/127846
Approved by: https://github.com/ezyang
ghstack dependencies: #127842, #127843, #127844, #127845
 2024-06-08 18:50:06 +00:00
Xuehai Pan
ba3b05fdf3 [1/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort stdlib (#127122) 
The `usort` config in `pyproject.toml` has no effect due to a typo. Fixing the typo make `usort` do more and generate the changes in the PR. Except `pyproject.toml`, all changes are generated by `lintrunner -a --take UFMT --all-files`.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/127122
Approved by: https://github.com/kit1980
 2024-05-25 08:25:50 +00:00
Aaron Gokaslan
29cc293725 [BE]: FURB142 - Remove set mutations. Use set update (#124551) 
Uses set mutation methods instead of manually reimplementing (update, set_difference etc).

Pull Request resolved: https://github.com/pytorch/pytorch/pull/124551
Approved by: https://github.com/ezyang
 2024-04-21 14:12:33 +00:00
Mehant Kammakomati
e87deb8004 fix: conversion of max memory allocated and reserved to GB (#120172) 
Fixes #120171

Pull Request resolved: https://github.com/pytorch/pytorch/pull/120172
Approved by: https://github.com/soulitzer, https://github.com/aaronenyeshi
 2024-02-21 18:04:47 +00:00
lancerts
143b5f2745 Fix the missing device in _memory_profiler (#119751) 
Fixes #119722,
1, added the missing device in
```
max_memory_allocated = torch.cuda.max_memory_allocated()
max_memory_reserved = torch.cuda.max_memory_reserved()
```
2, fix the device parameter to device_str. Based on [lines](2bda6b4cb8/torch/profiler/profiler.py (L291)), the input device are a string (device_str) for
```
self.mem_tl.export_memory_timeline_html
self.mem_tl.export_memory_timeline_raw
self.mem_tl.export_memory_timeline
```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/119751
Approved by: https://github.com/aaronenyeshi
 2024-02-15 19:11:15 +00:00
Aaron Enye Shi
0d95378341 [Profiler][Easy] Make timestamps in memory timelines be in microseconds (us) (#112772) 
Summary: Convert the timestamps in memory timelines from ns to us.

Test Plan: CI

Differential Revision: D50937241

Pulled By: aaronenyeshi

Pull Request resolved: https://github.com/pytorch/pytorch/pull/112772
Approved by: https://github.com/anupambhatnagar, https://github.com/davidberard98
 2023-11-03 00:41:41 +00:00
Anupam Bhatnagar
3336aa191c Adding allocated and reserved memory values to memory timline view. (#107056) 
Summary: This diff adds the max allocated and max reserved memory values to the memory timeline plot.

Test Plan:
Executed

`buck run mode/dev-nosan kineto/libkineto/fb/integration_tests:pytorch_resnet_integration_test -- --enable_profiling --profile_memory --trace_handler=auto_trace --with_stack --record_shapes` on my devgpu.

The generated output is at
https://www.internalfb.com/manifold/explorer/ai_efficiency/tree/traces/dynocli/devgpu020.odn1.facebook.com/rank-0/rank-0.Aug_10_16_50_50.236946.pt.memorytl.html

 {F1067885545}
Screenshot of the html above
 {F1067886350}

Reviewed By: aaronenyeshi

Differential Revision: D48251791

Pull Request resolved: https://github.com/pytorch/pytorch/pull/107056
Approved by: https://github.com/aaronenyeshi, https://github.com/davidberard98
 2023-08-21 17:20:13 +00:00
Aaron Gokaslan
b1e8e01e50 [BE]: Apply PYI autofixes to various types (#107521) 
Applies some autofixes from the ruff PYI rules to improve the typing of PyTorch. I haven't enabled most of these ruff rules yet as they do not have autofixes.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/107521
Approved by: https://github.com/ezyang
 2023-08-20 02:42:21 +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
Justin Chu
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
Howard Cheng
3dacc8e847 [PyTorch] [Memory profiler] Early return if qualified name is invalid (#105495) 
Summary: Return early if we can easily determine the operator qualified name is invalid before attempting to retrieve the schema. In particular "::" should always be present. Quick estimate shows that this is >50x faster (100 us -> 2 us).

Test Plan: CI

Differential Revision: D47562587

Pull Request resolved: https://github.com/pytorch/pytorch/pull/105495
Approved by: https://github.com/aaronenyeshi
 2023-07-20 00:58:32 +00:00
Justin Chu
3721fa5612 [BE] Enable ruff's UP rules and autoformat optim/ (#105426) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/105426
Approved by: https://github.com/malfet, https://github.com/albanD, https://github.com/aaronenyeshi, https://github.com/janeyx99
 2023-07-18 21:07:43 +00:00
Aaron Enye Shi
e0d2ad1a21 [Profiler][Memory] Export raw timestamped events in export_memory_timeline_raw (#105094) 
Summary:
Rather than processing the events into a time and sizes plot, dump the actual events as (timestamp, action, num of bytes, category) when output file ends in `raw.json.gz`.

This can allow downstream analysis tools to process these events. It also avoids having to control the granularity of the previous json.gz in memory profiler.

Test Plan: CI Tests

Differential Revision: D47416544

Pulled By: aaronenyeshi

Pull Request resolved: https://github.com/pytorch/pytorch/pull/105094
Approved by: https://github.com/davidberard98
 2023-07-17 17:39:37 +00:00
Aaron Enye Shi
2a4fa25109 [Profiler] Include more uncategorized events in memory profile (#101200) 
Summary: This PR adds handling for allocations / frees which we cannot prove are for Tensors. (And thus aren't assigned an ID.) These events are still important for judging overall utilization.

Test Plan: CI and Unit tests.

Differential Revision: D45458885

Pulled By: aaronenyeshi

Pull Request resolved: https://github.com/pytorch/pytorch/pull/101200
Approved by: https://github.com/anupambhatnagar, https://github.com/davidberard98
 2023-06-08 16:22:49 +00:00
Aaron Enye Shi
e35323d6a7 [Profiler] Fix HTML plot output for profiler export_memory_timeline (#101316) 
Summary: Wrap the PNG image of the memory plot inside of an HTML body, so that the file can be easily opened or embedding in other frontends.

Test Plan:
CI Tests

# Ran locally on Resnet50:
{F988498243}
{F988498789}
https://www.internalfb.com/manifold/explorer/trace_stats/tree/749163530321413/tmpj3ifzs7r.pt.memorytl.html

Differential Revision: D45827509

Pulled By: aaronenyeshi

Pull Request resolved: https://github.com/pytorch/pytorch/pull/101316
Approved by: https://github.com/xuzhao9
 2023-05-15 16:31:06 +00:00
Aaron Enye Shi
87b71e570e [Profiler] Support HTML plot output for profiler export_memory_timeline API (#99751) 
Summary:
Support the file extension .html, which will include a PNG image of the plot embedded into an HTML file.

This allows users to avoid processing the timeline manually in their own frontend UI.

Test Plan:
CI Tests

Ran on resnet50 model and generated this html file w/ plot:
See attached html file: {F954232276}
Screenshot: {F954232469}

Differential Revision: D45152735

Pulled By: aaronenyeshi

Pull Request resolved: https://github.com/pytorch/pytorch/pull/99751
Approved by: https://github.com/davidberard98
 2023-04-22 04:21:58 +00:00
Edward Z. Yang
9a8f71f23e Convert logging f-strings to use % format (#98697) 
Codemod done with
https://gist.github.com/ezyang/2e8b0463cdc6be278478495b23ff0530 with
assistance from ChatGPT.

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

Pull Request resolved: https://github.com/pytorch/pytorch/pull/98697
Approved by: https://github.com/voznesenskym
 2023-04-10 12:19:31 +00:00
Sergii Dymchenko
477f3f555f Simplify by using yield from (#97831) 
The issues were found by SIM104 flake8-simplify in a local run.

I'll take a look on adding the check to the CI separately.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/97831
Approved by: https://github.com/Skylion007
 2023-03-29 19:15:24 +00:00
Aaron Gokaslan
5471621497 [BE] Remove unnecessary dict comprehensions (#97116) 
Removes unnecessary dict comprehensions that optimize creation of dicts from iterables

Pull Request resolved: https://github.com/pytorch/pytorch/pull/97116
Approved by: https://github.com/kit1980
 2023-03-20 00:56:57 +00:00
Aaron Enye Shi
1e6961586b [Profiler] Memory timeline to show actual timestamps (#96535) 
Summary: Rather than starting the timeline at t=0, keep the actual timestamps of the memory events.

Test Plan: CI Tests

Reviewed By: leitian, chaekit

Differential Revision: D43807624

Pulled By: aaronenyeshi

Pull Request resolved: https://github.com/pytorch/pytorch/pull/96535
Approved by: https://github.com/davidberard98
 2023-03-11 00:25:30 +00:00
Aaron Enye Shi
e948ba07d4 [Profiler] Add export_memory_timeline to save memory timeline plot to file (#96137) 
Summary: Added the functionality to export the memory timeline plot as a list of times and sizes, which the post processing visualization can parse and plot.

Test Plan: CI Tests

Reviewed By: leitian, fengxizhou

Differential Revision: D43680760

Pulled By: aaronenyeshi

Pull Request resolved: https://github.com/pytorch/pytorch/pull/96137
Approved by: https://github.com/chaekit
 2023-03-10 18:20:25 +00:00
Aaron Gokaslan
0444a6c90a [BE] Remove deprecated logging warn method (#94708) 
Swaps all logging.warn calls to logging.warning since the former is deprecated and even raises a deprecation warning now.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/94708
Approved by: https://github.com/ezyang
 2023-02-13 18:24:52 +00:00
Edward Z. Yang
eef019c14a Lint rule to forbid direct use of logging.info/etc APIs (#90907) 
Signed-off-by: Edward Z. Yang <ezyang@fb.com>

Pull Request resolved: https://github.com/pytorch/pytorch/pull/90907
Approved by: https://github.com/jansel
 2022-12-16 05:13:51 +00:00
Taylor Robie
63e57280fc [Profiler] Memory profiler part 13: Add sizes to timeline. (#89356) 
If we see an allocation the size is unambiguous. Otherwise we have to use sizes and strides to bound the underlying storage.

Differential Revision: [D40868660](https://our.internmc.facebook.com/intern/diff/D40868660/)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/89356
Approved by: https://github.com/chaekit
 2022-12-02 03:55:22 +00:00
Taylor Robie
6727e537a7 [Profiler] Memory profiler part 12: Emit timeline of memory events. (#89355) 
Add a simple interface to get a flat representation of the memory profile.

Differential Revision: [D40868663](https://our.internmc.facebook.com/intern/diff/D40868663/)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/89355
Approved by: https://github.com/chaekit
 2022-12-02 03:55:22 +00:00
Taylor Robie
b709078dc6 [Profiler] Memory profiler part 11: Mark tensors created in the backward pass which don't correspond to parameters. (#88926) 
There are various Tensors created in the backward pass which do not correspond to parameters. We don't want to mark these as gradients, but we do still want to convey as much information as possible. Thus, this PR introduces an AUTOGRAD_DETAIL category. (Which can be grouped with GRADIENT in visualization if one wishes to take a coarse grained view of the world.)

Differential Revision: [D40868661](https://our.internmc.facebook.com/intern/diff/D40868661/)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/88926
Approved by: https://github.com/chaekit
 2022-11-27 12:20:30 +00:00
Taylor Robie
143d2881a8 [Profiler] Memory profiler part 10: Mark optimizer state (#88925) 
This is also a fairly simple pass, since we're simply collecting values from the python tracer.

Differential Revision: [D40868664](https://our.internmc.facebook.com/intern/diff/D40868664/)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/88925
Approved by: https://github.com/chaekit
 2022-11-27 12:20:30 +00:00
Taylor Robie
ae725d501e [Profiler] Memory profiler part 9: Mark activations (#88924) 
This is a fairly straightforward pass: start at inputs and flood fill until we reach the backward pass.

Differential Revision: [D40868662](https://our.internmc.facebook.com/intern/diff/D40868662/)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/88924
Approved by: https://github.com/chaekit
 2022-11-27 12:20:28 +00:00
Taylor Robie
0435894bb3 [Profiler] Memory profiler part 8: Mark parameters. (#87568) 
Following the pattern of earlier PRs, we use two methods to extract parameters. The primary one is the Python tracer; both nn.Module and optim.Optimizer collect parameters and in most cases that is sufficient. As a fallback we can analyze the data flow graph and deduce likely parameters based on gradient computation and updates.

Parameter identification has a circular interaction with input identification. Inputs are defined as "not part of the core forward-backward-update loop", but we need inputs for the parameter identification fallback to give us a proxy for the forward pass. Thus, we mark parameters from the python tracer which limits which Tensors get marked as inputs. While not necessary, it adds a bit of robustness. (As shown by the strengthening of the input unit tests.)

Differential Revision: [D40238619](https://our.internmc.facebook.com/intern/diff/D40238619/)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/87568
Approved by: https://github.com/chaekit
 2022-11-27 02:10:29 +00:00
Taylor Robie
17fa6bf1f5 [Profiler] Memory profiler part 7: Mark inputs (#87567) 
It is surprisingly difficult to identify the leaves of the data flow graph. The issue is that inputs and pre-existing parameters look identical until parameter identification takes place. It's not too bad for training since Autograd lets us differentiate between them however I still want the tool to do something reasonable in inference.

Some of this will be ameliorated when a later PR pulls in parameters from python tracing. The current approach is passable, but I will continue to mull over refinements.

Differential Revision: [D40220388](https://our.internmc.facebook.com/intern/diff/D40220388/)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/87567
Approved by: https://github.com/chaekit
 2022-11-27 02:10:27 +00:00