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Author SHA1 Message Date
PyTorch MergeBot
95b5534773 Revert "[user-streams] Track symbolic current stream (#165212)" 
This reverts commit a5335263d3.

Reverted https://github.com/pytorch/pytorch/pull/165212 on behalf of https://github.com/atalman due to test/test_rename_privateuse1_to_existing_device.py::TestRenamePrivateuseoneToExistingBackend::test_external_module_register_with_existing_backend [GH job link](https://github.com/pytorch/pytorch/actions/runs/18930365446/job/54046768884) [HUD commit link](a5335263d3) ([comment](https://github.com/pytorch/pytorch/pull/165212#issuecomment-3467968796))
 2025-10-30 13:24:56 +00:00
Michael Lazos
a5335263d3 [user-streams] Track symbolic current stream (#165212) 
merge into stream tests

Pull Request resolved: https://github.com/pytorch/pytorch/pull/165212
Approved by: https://github.com/anijain2305
ghstack dependencies: #164304, #164522, #164819, #165211
 2025-10-30 04:58:53 +00:00
Xuehai Pan
02715d0876 [BE][5/6] fix typos in test/ (test/dynamo/) (#157639) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/157639
Approved by: https://github.com/yewentao256, https://github.com/jansel
ghstack dependencies: #157638
 2025-07-06 06:34:25 +00:00
Xuehai Pan
6d5c789ad5 [BE][PYFMT] migrate PYFMT for test/[a-h]*/ to ruff format (#144555) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/144555
Approved by: https://github.com/ezyang
ghstack dependencies: #144551, #144554
 2025-06-24 04:53:54 +00:00
clr
166419b9c1 dynamo: Don't crash when encountering a object with no __name__ (#147246) 
This was triggering on ScriptFunctions. Note that other than badly implemented c functiosn, this seems to be almost impossible to trigger, so I wrote a smaller unit test, rather than a full repro. Let me know if people feel strongly and want a full reproduction.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/147246
Approved by: https://github.com/anijain2305, https://github.com/jansel, https://github.com/Skylion007
 2025-02-18 20:35:49 +00:00
Aaron Orenstein
99dbc5b0e2 PEP585 update - test (#145176) 
See #145101 for details.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/145176
Approved by: https://github.com/bobrenjc93
 2025-01-22 04:48:28 +00:00
James Wu
7d71ddbe5d Add non_c_binding torch functions to allowlist for AOTAutogradCache, confirm no special handlers for them (#144802) 
Differential Revision: [D68173093](https://our.internmc.facebook.com/intern/diff/D68173093/)

This diff allows any function in torch_non_c_binding_in_graph_functions to be safe to cache. These functions should be safe to cache because they are part of the torch API, and do not save global state (or if they do, dynamo creates unique guards around the constants they return).
A function that's allowed in a dynamo graph is safe to cache for AOTAutograd purposes as long as:
- It's functional (i.e. does not access global state);
- or its value is constant folded away (and guarded against by dynamo)

The tricky cases are functions that dynamo uses special handlers to track. These special handlers can sometimes close over stuff that's safe for dynamo locally, but isn't encoded anywhere when cached across processes. An example of this is `DTensor.from_local`, where various DeviceMesh information doesn't change in the same dynamo process, but can change across multiple processes. The handler for `DTensor.from_local` closes over these and dynamo creates a proxy for the function call. This is not safe to cache.

That said, most special handlers are in fact functional and safe. So I add a unit test to test_trace_rules.py that confirms that any function with special handlers in dynamo added to this list needs to be audited to be safe to cache.

The list of safe handlers there either:
- Don't access global state;
- Guard on global state; or
- Always returns a constant that never changes

Pull Request resolved: https://github.com/pytorch/pytorch/pull/144802
Approved by: https://github.com/bdhirsh
 2025-01-15 05:41:36 +00:00
Xuehai Pan
78543e6002 [dynamo][pytree][1/N] make CXX pytree traceable: tree_iter / tree_leaves (#137397) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/137397
Approved by: https://github.com/jansel
 2024-12-03 11:17:39 +00:00
Xu Han
74ef74be36 [inductor] calibration inductor windows uts (3/N) (#134400) 
skip Windows UT of `test/dynamo/test_trace_rules.py`

Pull Request resolved: https://github.com/pytorch/pytorch/pull/134400
Approved by: https://github.com/ezyang
 2024-08-24 23:48:50 +00:00
Xuehai Pan
918ece4f4d [BE][Easy][11/19] enforce style for empty lines in import segments in test/dy*/ (#129762) 
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/129762
Approved by: https://github.com/anijain2305
 2024-07-27 17:43:53 +00:00
Xuehai Pan
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
Will Feng
dadc0ed4c8 [Traceable FSDP2] Add aot_eager backend E2E tests for transformer model (#129157) 
This PR adds Traceable FSDP2 `aot_eager` backend E2E tests for simple MLP as well as transformer model.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/129157
Approved by: https://github.com/awgu
ghstack dependencies: #129203
 2024-06-23 06:11:11 +00:00
willfengg
35c56f85fd [dynamo][pt2d] avoid skipping modules from torch/testing/_internal (#122851) 
Dynamo skips user defined modules from `torch/testing/_internal` (eg MLP, Transformer). This PR adds `torch/testing/_internal/...` to `manual_torch_name_rule_map`. It ensures FSDP CI + torch.compile are meaningfully tested

unit test shows frame count = 0 before and frame count > 0 after
```pytest test/dynamo/test_trace_rules.py -k test_module_survive_skip_files```

some FSDP unit tests actually start to compile modules with this change. add trition availability check or disable tests for now

Pull Request resolved: https://github.com/pytorch/pytorch/pull/122851
Approved by: https://github.com/jansel
 2024-03-29 06:42:06 +00:00
Peter Y Yeh
46a76cfef5 [ROCm] Fix test_trace_rule_update.py (#121524) 
-Add missing torch API to trace rules and ignore API with manual trace rule.

The PR fix test/dynamo/test_trace_rule_update

maybe related to https://github.com/pytorch/pytorch/pull/121142

Pull Request resolved: https://github.com/pytorch/pytorch/pull/121524
Approved by: https://github.com/jansel, https://github.com/pruthvistony
 2024-03-25 20:53:24 +00:00
Catherine Lee
a656e12bf5 Disable test_torch_name_rule_map_updated in code (#120627) 
I am getting tired of this test  ;-;

It gets disabled because it's broken, and then gets fixed, but something breaks it while it was disabled so its still broken and the infra is not handling it well.

Disable issue is https://github.com/pytorch/pytorch/issues/114831
Pull Request resolved: https://github.com/pytorch/pytorch/pull/120627
Approved by: https://github.com/yanboliang
 2024-03-08 21:00:51 +00:00
Kurt Mohler
13a54ce279 Avoid COW materialization in at::parallel_for/parallel_reduce (#120455) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/120455
Approved by: https://github.com/albanD
 2024-03-01 05:05:28 +00:00
PyTorch MergeBot
86ff31c4a0 Revert "Avoid COW materialization in at::parallel_for/parallel_reduce (#120455)" 
This reverts commit cabc09a5f2.

Reverted https://github.com/pytorch/pytorch/pull/120455 on behalf of https://github.com/izaitsevfb due to breaks xla jobs ([comment](https://github.com/pytorch/pytorch/pull/120455#issuecomment-1970026100))
 2024-02-28 22:30:18 +00:00
Kurt Mohler
cabc09a5f2 Avoid COW materialization in at::parallel_for/parallel_reduce (#120455) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/120455
Approved by: https://github.com/albanD
 2024-02-28 00:37:33 +00:00
Kai Londenberg
2ad66e6bf0 Fix test failure: Add torch.cuda._get_device_properties to dynamo trace rules (#120620) 
In this PR stack, there were unrelated test failures within test_trace_rules.py - It turned out that torch.cuda._get_device_properties should be registered in _dynamoc/trace_rules.py. A test failed because it was not.

This is a small fix which tries to get rid of the test failure by manually registering that function.

Note:
I am not sure whether this is the best way to fix this, as I am neither familiar with the trace rules nor with the introduction of torch.cuda._get_device_properties.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/120620
Approved by: https://github.com/Skylion007
 2024-02-27 10:46:01 +00:00
Yanbo Liang
c3b4d78e17 [Dynamo][Easy] Fix a small bug in test_trace_rules.py (#119973) 
Fixes #ISSUE_NUMBER

Pull Request resolved: https://github.com/pytorch/pytorch/pull/119973
Approved by: https://github.com/zou3519
 2024-02-15 20:44:32 +00:00
Yanbo Liang
54a30f6d4e [Dynamo] Update trace_rules.py and re-enable skipped tests (#119860) 
Fixes #ISSUE_NUMBER

Pull Request resolved: https://github.com/pytorch/pytorch/pull/119860
Approved by: https://github.com/angelayi
 2024-02-14 05:22:55 +00:00
Yanbo Liang
5356b5d1f0 [Dynamo][16/N] Move skipfiles to trace_rules.py (#119432) 
This is follow-up-1 for https://github.com/pytorch/pytorch/pull/118971#issue-2114082018. Only code motion and doc update in this PR.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/119432
Approved by: https://github.com/jansel
 2024-02-09 18:18:23 +00:00
PyTorch MergeBot
eff93fbd86 Revert "[Dynamo][16/N] Move skipfiles to trace_rules.py (#119432)" 
This reverts commit 56364124af.

Reverted https://github.com/pytorch/pytorch/pull/119432 on behalf of https://github.com/atalman due to Breaks internal tests ([comment](https://github.com/pytorch/pytorch/pull/119432#issuecomment-1936122795))
 2024-02-09 15:25:25 +00:00
Yanbo Liang
56364124af [Dynamo][16/N] Move skipfiles to trace_rules.py (#119432) 
This is follow-up-1 for https://github.com/pytorch/pytorch/pull/118971#issue-2114082018. Only code motion and doc update in this PR.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/119432
Approved by: https://github.com/jansel
 2024-02-08 09:41:52 +00:00
Yanbo Liang
0f478d9d61 [Dynamo][15/N] Merge allow_in_graph/inline/skip trace rules check into trace_rule.lookup (#118971) 
Finally we have this PR to merge allow_in_graph/inline/skip trace rules into ```trace_rules.lookup_inner```, where we can define and lookup trace rules at both function level and file level. Going forward, this is the central place that we define and consulte Dynamo trace rule for any function.
* ```trace_rules.looup``` is the API can return allow_in_graph, inline or skip.
* ```skipfiles.check``` is the API can return inline or skip, since we have multiple places that only do inline/skip check.
  *  I'll move ```skipfiles.check``` to ```trace_rules.check``` as one of the follow-ups.
* Both functions consulte ```trace_rules.lookup_inner``` to get the tracing rule.

To avoid a single big PR, I left a few items as the follow-ups:
* Remove ```skipfiles.py``` and merge the code into ```trace_rules.py```.
* We do double check in ```symbolic_convert.check_inlineable```, will refactor and simplify it. We should only do inline/skip check before generating ```SkipFilesVariable``` and ```UserFunctionVariable```.
* Rename ```SkipFilesVariable``` as ```SkipFunctionVariable```, since we only handle functions.
* The inline/skip reasons are not logged for some cases, since the new lookup framework doesn't always return inline/skip reasons. I'll refactor loggings to record the inline/skip reason in next step.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/118971
Approved by: https://github.com/jansel
 2024-02-07 05:15:39 +00:00
Yanbo Liang
dba160e676 [13/N][Dynamo] Refactor torch ctx manager classes check out of trace_rules.lookup (#118130) 
I'm going to merge inline/skip/allow_in_graph check into ```trace_rules.lookup```, so it's better to make it only handle function types.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/118130
Approved by: https://github.com/williamwen42
 2024-01-24 22:33:41 +00:00
Yanbo Liang
7e12e722af [Dynamo][12/N] Remove allowed_functions.py (#116401) 
Fixes #ISSUE_NUMBER

Pull Request resolved: https://github.com/pytorch/pytorch/pull/116401
Approved by: https://github.com/angelayi
 2023-12-28 21:26:06 +00:00
Yanbo Liang
6375eb15ef [Dynamo][11/N] allow_in_graph/disallow_in_graph decorator refactor (#116365) 
Fixes #ISSUE_NUMBER

Pull Request resolved: https://github.com/pytorch/pytorch/pull/116365
Approved by: https://github.com/jansel
 2023-12-27 23:50:35 +00:00
Yanbo Liang
199bacaf77 [Dynamo] Fix broken trunk and re-enable test_torch_name_rule_map_updated (#116146) 
Fixes #ISSUE_NUMBER

Pull Request resolved: https://github.com/pytorch/pytorch/pull/116146
Approved by: https://github.com/williamwen42
 2023-12-20 21:22:29 +00:00
Yanbo Liang
274fdc81f8 [Dynamo][6.3/N] Further cleanup torch.py (#114669) 
A follow-up PR to clean up what I found during the refactor of torch.py

Pull Request resolved: https://github.com/pytorch/pytorch/pull/114669
Approved by: https://github.com/jansel
 2023-12-11 07:16:03 +00:00
Yanbo Liang
f71d931b32 [Dynamo][6.2/N] Dump the in graph function list(~2600 ops) and add unit tests. (#114196) 
This is the second PR according https://github.com/pytorch/pytorch/pull/113009#issuecomment-1804417925

Pull Request resolved: https://github.com/pytorch/pytorch/pull/114196
Approved by: https://github.com/jansel
 2023-12-10 06:41:51 +00:00
Yanbo Liang
da341d0d48 [Dynamo][6.1/N] Refactor out TorchInGraphFunctionVariable and improve heuristic (#113432) 
This is splitted from #113009, please check https://github.com/pytorch/pytorch/pull/113009#issuecomment-1804417925 for more details.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/113432
Approved by: https://github.com/ezyang, https://github.com/jansel
 2023-12-09 05:11:44 +00:00
PyTorch MergeBot
e8e4141773 Revert "[Dynamo][6.1/N] Refactor out TorchInGraphFunctionVariable and improve heuristic (#113432)" 
This reverts commit e61d6b42f0.

Reverted https://github.com/pytorch/pytorch/pull/113432 on behalf of https://github.com/huydhn due to Sorry for reverting your change, but it is failing dynamo tests in trunk e61d6b42f0, landrace? ([comment](https://github.com/pytorch/pytorch/pull/113432#issuecomment-1847787981))
 2023-12-08 20:15:39 +00:00
Yanbo Liang
e61d6b42f0 [Dynamo][6.1/N] Refactor out TorchInGraphFunctionVariable and improve heuristic (#113432) 
This is splitted from #113009, please check https://github.com/pytorch/pytorch/pull/113009#issuecomment-1804417925 for more details.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/113432
Approved by: https://github.com/ezyang, https://github.com/jansel
 2023-12-08 17:15:14 +00:00
Yanbo Liang
4620170008 [Dynamo] Revert multiple PRs since they triggered compilation stuck internally (#115126) 
Revert the following PRs to mitigate internal compilation stuck:
#113432
#114016
#114507
#114196
#114739
#114669

Pull Request resolved: https://github.com/pytorch/pytorch/pull/115126
Approved by: https://github.com/xush6528
 2023-12-05 22:35:37 +00:00
Yanbo Liang
ab5385fc50 [Dynamo][6.3/N] Further cleanup torch.py (#114669) 
A follow-up PR to clean up what I found during the refactor of torch.py

Pull Request resolved: https://github.com/pytorch/pytorch/pull/114669
Approved by: https://github.com/jansel
 2023-12-01 04:08:29 +00:00
Yanbo Liang
b6a30bbfb6 [Dynamo] Forward fix dynamo trace rule test failure due to landing race (#114739) 
Fixes #ISSUE_NUMBER

Pull Request resolved: https://github.com/pytorch/pytorch/pull/114739
Approved by: https://github.com/janeyx99, https://github.com/huydhn
 2023-11-29 09:31:12 +00:00
Yanbo Liang
57a5a687b0 [Dynamo][6.2/N] Dump the in graph function list(~2600 ops) and add unit tests. (#114196) 
This is the second PR according https://github.com/pytorch/pytorch/pull/113009#issuecomment-1804417925

Pull Request resolved: https://github.com/pytorch/pytorch/pull/114196
Approved by: https://github.com/jansel
 2023-11-29 05:09:48 +00:00
Danylo Baibak
cbc6873538 [Dynamo][Forward fix] Add torch.ao back to is_allowed list (#114016) (#114111) 
Summary:

As title

Test Plan: Sandcastle

Reviewed By: drisspg, huydhn, voznesenskym

Differential Revision: D51445366

Pull Request resolved: https://github.com/pytorch/pytorch/pull/114111
Approved by: https://github.com/jeanschmidt
 2023-11-20 14:59:33 +00:00
PyTorch MergeBot
7d0339fb9a Revert "[Dynamo][Forward fix] Add torch.ao back to is_allowed list (#114016)" 
This reverts commit 09fe36274a.

Reverted https://github.com/pytorch/pytorch/pull/114016 on behalf of https://github.com/DanilBaibak due to The PR was exported as part of the co-dev approach and needs to merged once the internal diff will landed. ([comment](https://github.com/pytorch/pytorch/pull/114016#issuecomment-1818591191))
 2023-11-20 09:32:15 +00:00
Yanbo Liang
09fe36274a [Dynamo][Forward fix] Add torch.ao back to is_allowed list (#114016) 
Summary: As title

Test Plan: Sandcastle

Differential Revision: D51445366

Pull Request resolved: https://github.com/pytorch/pytorch/pull/114016
Approved by: https://github.com/drisspg, https://github.com/voznesenskym, https://github.com/huydhn
 2023-11-19 02:59:34 +00:00
Yanbo Liang
033d7b670a [Dynamo][6.1/N] Refactor out TorchInGraphFunctionVariable and improve heuristic (#113432) 
This is splitted from #113009, please check https://github.com/pytorch/pytorch/pull/113009#issuecomment-1804417925 for more details.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/113432
Approved by: https://github.com/ezyang
 2023-11-17 23:42:00 +00:00
PyTorch MergeBot
92e3f45f0e Revert "[dynamo] Refactor test cross importing (#113242)" 
This reverts commit 4309d38f5d.

Reverted https://github.com/pytorch/pytorch/pull/113242 on behalf of https://github.com/huydhn due to Sorry for reverting your stack, but it is failing to list test internally with buck2 ([comment](https://github.com/pytorch/pytorch/pull/113242#issuecomment-1811674395))
 2023-11-15 01:53:07 +00:00
Jason Ansel
4309d38f5d [dynamo] Refactor test cross importing (#113242) 
Having tests import tests is a bit annoying because fbcode/oss have different paths.  This moves that stuff into a helper function.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/113242
Approved by: https://github.com/yanboliang
 2023-11-11 03:17:35 +00:00
PyTorch MergeBot
59592389fc Revert "[dynamo] Refactor test cross importing (#113242)" 
This reverts commit 8858edad65.

Reverted https://github.com/pytorch/pytorch/pull/113242 on behalf of https://github.com/PaliC due to this diff appears to be causing inductor failures internally ([comment](https://github.com/pytorch/pytorch/pull/113242#issuecomment-1805132719))
 2023-11-10 05:43:08 +00:00
Jason Ansel
8858edad65 [dynamo] Refactor test cross importing (#113242) 
Having tests import tests is a bit annoying because fbcode/oss have different paths.  This moves that stuff into a helper function.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/113242
Approved by: https://github.com/yanboliang
 2023-11-09 01:36:27 +00:00
Peter Bell
65ecb36621 Move ShapeEnv config out of dynamo (#112933) 
Previously there was a circular dependency between fx and dynamo that happened
to work out since ShapeEnv didn't access the config at module init time.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/112933
Approved by: https://github.com/ezyang
 2023-11-07 01:10:25 +00:00
Yanbo Liang
31c223a52c Forward fix a dynamo tracing rule test failure due to landing race (#112368) 
Fixes #ISSUE_NUMBER

Pull Request resolved: https://github.com/pytorch/pytorch/pull/112368
Approved by: https://github.com/Chillee, https://github.com/malfet
 2023-10-30 17:34:22 +00:00
Yanbo Liang
061bf1a153 [5/N] Make torch context manager a TorchCtxManagerClassVariable (#111622) 
Major change in this PR is to make torch context manager class a separate ```TorchCtxManagerClassVariable```, since we have dynamo implementation for these ctx managers.

I was thinking to wrap them as ```UserDefinedClassVariable``` and do dispatch at ```USCVariable.call_function```, but it seems almost the same amount of work and this way is more clear.

This is on the way of moving ```TorchVariable``` to ```TorchFunctionVariable``` which will only handle the functions who would be allowed in graph (e.g, ```torch.sin```) and constant folded (e.g, ```torch.is_floating_point```). All other torch functions would be go through skip/inline rules, and would be wrapped as ```UserFunctionVariable``` (for inlined) and ```SkipFilesVariable``` (for skipped).
The next steps:
* Wrap torch modules, classes, objects as regular ```PythonModuleVariable```, ```UserDefinedClassVariable``` and ```UserDefinedObjectVariable```.
* Generate the allow in graph torch functions list and wrap them as ```TorchFunctionVariable```.
* Finally merge ```skipfiles.check``` and ```is_allowed``` into one function ```allow_skip.check(fn)``` which would return a Enum of allow, skip and inline.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/111622
Approved by: https://github.com/jansel
 2023-10-27 21:26:54 +00:00