id int64 2.74B 3.05B | title stringlengths 1 255 | user stringlengths 2 26 | state stringclasses 2
values | labels listlengths 0 24 | comments int64 0 206 | author_association stringclasses 4
values | body stringlengths 7 62.5k ⌀ | is_title bool 1
class |
|---|---|---|---|---|---|---|---|---|
2,834,080,960 | [Inductor] Add a JIT Inductor unit test following #146293 | desertfire | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146529
Summary: To follow up https://github.com/pytorch/pytorch/pull/146293, add a JIT Inductor unit test. Other Triton template may need similar fixes.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zh... | true |
2,834,077,970 | Add torch.func.debug_unwrap | zou3519 | closed | [
"Merged",
"ciflow/trunk",
"release notes: torch.func"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146528
Use it to unwrap any functorch-wrapped tensor. I don't recommend using
the output in a program since it breaks the semantics of the transforms,
but it seems useful for debugging.
I will note that some people have wanted to ge... | true |
2,834,050,325 | [dynamo][fullgraph] Do not skip frame with fullgraph=True | anijain2305 | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"keep-going"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146553
* #146550
* __->__ #146527
Earlier if there were no ops in the graph, fullgraph=True will also fallback to eager. This hides issues in testing, where we silently fallback to eager, and do not test optimized bytecode. As can be s... | true |
2,834,040,218 | [inductor] add units to estimated runtime log | xmfan | closed | [
"Stale",
"module: inductor",
"ciflow/inductor"
] | 6 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146526
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @amjames @desertfire @chauhang @aakhundov | true |
2,834,025,262 | [dynamo] improved graph break messages for some common graph break sites [1/N] | williamwen42 | closed | [
"Merged",
"ciflow/trunk",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo",
"module: compile ux"
] | 9 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147429
* #147385
* __->__ #146525
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,834,021,333 | AOTI packaged model fails with generic error when run in for loop but succeeds on individual sample | rbavery | open | [
"needs reproduction",
"triaged",
"oncall: pt2",
"oncall: export",
"module: aotinductor"
] | 9 | NONE | ### 🐛 Describe the bug
I have a model that I used to export and compile using an early api of aoti inductor using `2.3.0+cu121`. I used to be able to run the model in a loop on batches of size `torch.randn((10, 9 * 4, 1024, 1024)`. Now I can't with torch 2.6.0 and a newly compiled AOTI model.
MRE (can provide the mo... | true |
2,834,016,328 | DISABLED test_aoti_eager_support_out_dynamic_shapes_cuda (__main__.DynamicShapesGPUTests) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_aoti_eager_support_out_dynamic_shapes_cuda&suite=DynamicShapesGPUTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36715236035).
Over t... | true |
2,833,994,440 | [BE][EZ][Metal] Do not pass tensor length as arg | malfet | closed | [
"Merged",
"topic: not user facing",
"release notes: mps",
"ciflow/mps"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146547
* __->__ #146522
As all devices capable of running Metal-2 support nonuniform threadgroup sizes, see https://developer.apple.com/metal/Metal-Feature-Set-Tables.pdf for more detail | true |
2,833,994,355 | [BE][EZ][Metal] Mark constant inputs as constant | malfet | closed | [
"Merged",
"topic: not user facing",
"release notes: mps",
"ciflow/mps"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146522
* __->__ #146521
| true |
2,833,982,192 | CUDA CachingHostAllocator tracks registrations to call correct free | jeffdaily | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"rocm",
"rocm priority",
"ciflow/rocm",
"ciflow/rocm-mi300"
] | 11 | COLLABORATOR | Allocations using cudaHostRegister should use corresponding cudaHostUnregister and similarly for cudaHostAlloc / cudaFreeHost. In test_cuda.py, the allocator config will change from test to test but the cache is not emptied prior to changing the config. This results in the wrong free being called later. Unit test sh... | true |
2,833,953,971 | Redundant | drisspg | closed | [] | 0 | CONTRIBUTOR | # Summary
TODO | true |
2,833,952,346 | Triton pin update for PyTorch 2.7 / Triton 3.3: Upgrading PyTorch-Triton to a version that Supports Blackwell | drisspg | closed | [
"module: cuda",
"triaged"
] | 19 | CONTRIBUTOR | # Upgrading PyTorch-Triton to Support Blackwell
Triton Bump PR: https://github.com/pytorch/pytorch/pull/148705
Test PR: https://github.com/pytorch/pytorch/pull/147320
This PR bumps the pin to one closer to main and is used for uncovering 🪲
Tracker Board: https://github.com/orgs/pytorch/projects/94/views/1
## Tracker... | true |
2,833,946,703 | Debug OIDC role on #139760 | huydhn | closed | [
"Stale",
"ciflow/trunk",
"release notes: releng",
"test-config/default"
] | 3 | CONTRIBUTOR | No need to review | true |
2,833,815,983 | [torch] fix exception types in custom class magic setattr/getattr | suo | closed | [
"oncall: jit",
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: jit"
] | 6 | MEMBER | Summary:
`c10::AttributeError` is not automatically converted to Python AttributeError, it needs some special macros (e.g. `HANDLE_TH_ERRORS`).
Some Python functions like `hasattr` rely on the type of the throw exception to be correct.
We don't need the fully generality of those macros, so just do a targeted error ty... | true |
2,833,811,148 | add record function end callback in hccl | fenypatel99 | closed | [
"oncall: distributed",
"fb-exported",
"release notes: distributed (c10d)"
] | 6 | MEMBER | Differential Revision: D69191139
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,833,802,312 | [DTensor][Test] Create a simple unit test for tensordot | wz337 | closed | [
"oncall: distributed",
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"ci-no-td"
] | 15 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
The dims and shape of the tensors are from a specific Shampoo use case. We want to create a unit test for it to make sure there are no regressions for this.
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wconstab @d4l3k @c-p-i-o | true |
2,833,754,207 | [dynamo] check for incompatible configs | xmfan | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo",
"ci-no-td"
] | 18 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146513
internal: https://fb.workplace.com/groups/1075192433118967/permalink/1599802033991335/
Assuming flags don't change during compilation, we shouldn't allow incompatible configs to be set at torch.compile wrap time.
Not in... | true |
2,833,715,989 | Fix `DispatchStub.cpp` compilation for gcc 14 | anmyachev | closed | [
"triaged",
"open source",
"module: dispatch",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 21 | COLLABORATOR | Otherwise I get the following error:
```bash
.../intel-xpu-backend-for-triton/pytorch/aten/src/ATen/native/DispatchStub.cpp:152:18: error: no matching function for call to ‘find(std::array<c10::DeviceType, 7>::const_iterator, std::array<c10::DeviceType, 7>::const_iterator, const c10::DeviceType&)’
152 | if... | true |
2,833,707,842 | Dynamo rewrite if ... Error to torch._check_with | angelayi | open | [
"feature",
"triaged",
"oncall: pt2",
"module: dynamic shapes",
"module: dynamo"
] | 2 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
There's a couple of cases in [modeling code](https://fburl.com/code/f25aujrk) where we see something like:
```python
def test_assert_dde(self):
class M(torch.nn.Module):
def forward(self, x):
b = x.item() # unbacked symint
... | true |
2,833,706,240 | [ONNX] Bump torchlib opset to 22 | justinchuby | closed | [
"open source",
"release notes: onnx"
] | 1 | COLLABORATOR | Fixes #ISSUE_NUMBER
| true |
2,833,698,427 | [BE][CI][Easy] bump `ruff` to 0.9.0: long statements in docstrings | XuehaiPan | closed | [
"open source",
"Merged",
"ciflow/trunk",
"release notes: onnx",
"topic: not user facing",
"fx"
] | 8 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145606
* #144546
* #144569
* __->__ #146509
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,833,651,407 | Something very wrong with float16 CPU implementation | ddpasa | open | [
"module: performance",
"module: cpu",
"triaged",
"module: half"
] | 14 | NONE | ### 🐛 Describe the bug
There is something very wrong with the float16 implementation in the CPU backend. It's much slower than the float32 implementation. I created a very simple matmul test to reproduce the issue, posting results below:
```
PyTorch Version: 2.6.0+cpu
torch.backends.cpu.get_cpu_capability(): AVX51... | true |
2,833,643,932 | [dynamo][tests] Prepare for tightening fullgraph constraints | anijain2305 | closed | [
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146454
* __->__ #146507
In follow up PRs, we raise NoGraph exception for fullgraph=True when there is no graph. When I do this, many tests in Dynamo fail. This is bad because we silently fallback to eager, rendering the test kind of useles... | true |
2,833,535,240 | Support contextlib.ExitStack | guilhermeleobas | open | [
"open source",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147990
* __->__ #146506
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,833,535,018 | Allow setting attribute to NestedUserFunctionVariable | guilhermeleobas | closed | [
"open source",
"Merged",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147990
* #146506
* #146501
* #146500
* #148766
* #148765
* __->__ #146505
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,833,534,792 | Introduce `UserDefinedExceptionClassVariable` | guilhermeleobas | closed | [
"open source",
"Merged",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 8 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147990
* #146506
* #146501
* #148766
* #148765
* #146500
* #146505
* #146502
* #146499
* __->__ #146504
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @ka... | true |
2,833,534,586 | Create new dynamo ObservedExceptions at runtime | guilhermeleobas | closed | [
"open source",
"module: dynamo",
"ciflow/inductor"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146506
* #146505
* __->__ #146503
* #146502
* #146501
* #146500
* #146504
* #146499
* #146498
* #146497
* #146496
* #146493
* #146492
* #146491
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzhen... | true |
2,833,534,409 | Correctly propagate exception to parent tx | guilhermeleobas | closed | [
"open source",
"Merged",
"ciflow/trunk",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 7 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147990
* #146506
* #146501
* #148766
* #148765
* #146500
* #146505
* __->__ #146502
* #146499
* #146504
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @ka... | true |
2,833,534,195 | Update CPython tests for ctx manager to use unittest | guilhermeleobas | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 8 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150466
* #147990
* #146506
* __->__ #146501
* #146500
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,833,534,014 | Allow trace through unittest | guilhermeleobas | closed | [
"open source",
"Merged",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo",
"keep-going"
] | 5 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150466
* #147990
* #146506
* #146501
* __->__ #146500
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,833,533,803 | Add `__context/cause/suppress_context/traceback__` to Exception | guilhermeleobas | closed | [
"open source",
"Merged",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo",
"keep-going"
] | 4 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147990
* #146506
* #146501
* #148766
* #148765
* #146500
* #146505
* #146502
* __->__ #146499
* #146504
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @ka... | true |
2,833,533,557 | Add `sys.exc_info` and `sys.exception` | guilhermeleobas | closed | [
"open source",
"Merged",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146506
* #146505
* #146502
* #146501
* #146500
* #146499
* #146504
* #146497
* #146496
* #146493
* #146492
* __->__ #146498
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayi... | true |
2,833,533,296 | Propagate `AttributeError` to user code in user_defined.py | guilhermeleobas | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 6 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146506
* #146505
* #146501
* #146500
* #146502
* #146499
* #146504
* __->__ #146497
* #146496
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chau... | true |
2,833,533,084 | Handle `is`/`is not` | guilhermeleobas | closed | [
"open source",
"Merged",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146506
* #146505
* #146501
* #146500
* #146502
* #146499
* #146504
* #146497
* __->__ #146496
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chau... | true |
2,833,532,806 | Fix round(...) with constants | guilhermeleobas | closed | [
"open source",
"Merged",
"ciflow/trunk",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 9 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146506
* #146505
* #146503
* #146502
* #146501
* #146500
* #146504
* #146499
* #146498
* #146497
* #146496
* #146493
* #146492
* #146491
* __->__ #146495
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaoz... | true |
2,833,532,598 | Fix STOPITERATION_ERROR opcode | guilhermeleobas | closed | [
"open source",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146506
* #146505
* #146504
* #146503
* #146502
* #146501
* #146500
* #146499
* #146498
* #146497
* #146496
* #146495
* __->__ #146494
* #146493
* #146492
* #146491
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSupe... | true |
2,833,532,387 | Add `RAISE_VARARGS 0` | guilhermeleobas | closed | [
"open source",
"Merged",
"ciflow/trunk",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 6 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146506
* #146505
* #146502
* #146501
* #146500
* #146499
* #146504
* #146497
* #146496
* __->__ #146493
* #146492
* #146498
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayi... | true |
2,833,532,174 | Add `WITH_EXCEPT_START` opcode | guilhermeleobas | closed | [
"open source",
"Merged",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146506
* #146505
* #146502
* #146501
* #146500
* #146499
* #146504
* #146497
* #146496
* #146493
* __->__ #146492
* #146498
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayi... | true |
2,833,531,969 | Add `make_dynamo_test` | guilhermeleobas | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146506
* #146505
* #146502
* #146501
* #146500
* #146499
* #146504
* #146497
* #146496
* #146493
* #146492
* #146498
* __->__ #146491
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-... | true |
2,833,435,354 | [export] Serialize special values of float into strings for json. | zhxchen17 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export"
] | 9 | CONTRIBUTOR | Summary: Currently inf is serialized as Infinity in JSON which is not standard compliant. Instead we will tweak all special floating points into strings and handle them at json layer.
Test Plan:
see D69060784
CI
Differential Revision: D69186425
| true |
2,833,405,692 | Update code_template.py re.compile() is directly applied to the regex… | umer066 | open | [
"open source",
"Stale",
"ciflow/trunk",
"topic: not user facing"
] | 7 | NONE | … string inside the class variable
re.compile() is directly applied to the regex string inside the class variable
Regular expressions are very expensive computationally. So, this avoids any redundant compilation.
Fixes #ISSUE_NUMBER
| true |
2,833,387,748 | [opcheck] Improve error reporting; allow atol/rtol overrides | zou3519 | closed | [
"Merged",
"ciflow/trunk",
"release notes: composability"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146488
This PR improves opcheck to:
1. directly use torch.testing.assert_close (without a msg override).
This allows it to print the absolute and relative differences and the
number of mismatched elements.
2. take in an atol/rt... | true |
2,833,304,642 | DISABLED test_aoti_eager_dtype_device_layout_dynamic_shapes_cuda (__main__.DynamicShapesGPUTests) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_aoti_eager_dtype_device_layout_dynamic_shapes_cuda&suite=DynamicShapesGPUTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36696242960).... | true |
2,833,304,641 | DISABLED test_aoti_eager_override_registration_dynamic_shapes_cuda (__main__.DynamicShapesCodegenGPUTests) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_aoti_eager_override_registration_dynamic_shapes_cuda&suite=DynamicShapesCodegenGPUTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/3669... | true |
2,833,283,073 | Update quantile doc | ILCSFNO | open | [
"triaged",
"open source",
"release notes: python_frontend"
] | 9 | CONTRIBUTOR | Fixes #146156
| true |
2,833,263,304 | Assertion Failure: TestMkldnnCPU.test_matmul_lower_precision_cpu_float16 on Graviton 2 & 3 | rahultrada | open | [
"module: tests",
"triaged",
"module: mkldnn",
"module: correctness (silent)",
"module: arm"
] | 0 | NONE | ### 🐛 Describe the bug
Repro
```python
python test/test_mkldnn.py TestMkldnnCPU.test_matmul_lower_precision_cpu_float16
```
Error
```
File "/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4042, in assertEqual
raise error_metas.pop()[0].to_error( # type: ignore[index]
AssertionError:... | true |
2,833,106,092 | [ARM] Unit test failure on Neoverse-N1 - CPUReproTests.test_lstm_packed | robert-hardwick | open | [
"module: tests",
"module: arm",
"oncall: pt2",
"oncall: cpu inductor"
] | 2 | COLLABORATOR | ### 🐛 Describe the bug
We see this test failure on Neoverse-N1. `inductor/test_cpu_repro` tests are not currently enabled on CI. I have made some comments in https://github.com/pytorch/pytorch/pull/146479 with suggestion to mark failing tests on Aarch64 in test/inductor/test_cpu_repro.py as skipped.
```
AssertionErr... | true |
2,832,956,660 | Update addr doc | albanD | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 5 | COLLABORATOR | Fixes https://github.com/pytorch/pytorch/issues/146399
| true |
2,832,940,841 | [Inductor UT][Windows][XPU] Fix Inductor UT on XPU Windows. | etaf | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"keep-going",
"ciflow/xpu"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146481
* #147347
This PR fixed all the inductor UT failures for XPU backend on Windows we found in local machine(Due to resource constraints, we have not yet set up a Windows CI pipeline online.)
cc @voznesenskym @penguinwu @Ei... | true |
2,832,877,906 | [Submodule]: Update KleidiAI submodule to v1.3.0 | nikhil-arm | closed | [
"module: cpu",
"open source",
"module: arm",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 14 | COLLABORATOR | Change-Id: I687255982c72ee7daca438a15b718f07298963cc
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @malfet @snadampal @milpuz01 | true |
2,832,815,588 | Implement blend operation for float, double, int in VEC ATen backend for SVE | maajidkhann | closed | [
"module: cpu",
"open source",
"module: arm",
"Merged",
"ciflow/trunk",
"topic: bug fixes",
"release notes: intel"
] | 13 | CONTRIBUTOR | - Added support for SVE vectorized blend operation for float, double, int8_t, int16_t, int32_t and int64_t data types.
- Utilizes SVE ACLE intrinsic (svcntb, svcntw, svcmpne, svsel) to handle different vector lengths (VL) dynamically.
- Ensured compatibility with SVE128, SVE256, and SVE512 hardware configurations.
... | true |
2,832,766,325 | [c10d] Add hccl distributed backend to c10d data structures | ankurneog | closed | [
"oncall: distributed",
"triaged",
"open source",
"Merged",
"Reverted",
"ciflow/trunk",
"release notes: distributed (c10d)",
"ciflow/rocm",
"ci-no-td"
] | 33 | CONTRIBUTOR | # MOTIVATION
Intel Gaudi is an out-of-tree PyTorch accelerator having its own device /dispatch key ```hpu``` .
With this change we add entries for Gaudi's distributed backend ```hccl``` to the c10d Backend data structures.
This is to ensure that there is no naming conflict in case a new in-tree accelerator is intro... | true |
2,832,763,227 | Improve error handling when checking CUDA version in case nvcc is not found | taras-janea | closed | [
"module: windows",
"triaged",
"open source",
"release notes: fx"
] | 2 | COLLABORATOR | Fixes:
- https://github.com/pytorch/pytorch/issues/101138
**Description**
The PR enhances error handling in `_check_cuda_version` by verifying the existence of the `nvcc` executable before invoking `subprocess.check_output`. If `nvcc` is missing, a `FileNotFoundError` is raised with a clear message, guiding users ... | true |
2,832,715,918 | [Feat]: Improve KleidiAI 4 bit kernel performance | nikhil-arm | closed | [
"module: cpu",
"triaged",
"open source",
"module: arm",
"Merged",
"ciflow/trunk",
"topic: performance",
"release notes: intel"
] | 13 | COLLABORATOR | Description:
1. New thread blocking accelerates GEMVs
2. We increase throughput of the lhs quant pack + matmul pipeline by decoupling two operations.
3. The new blocking strategy blocks ```out_feature``` to accelerate GEMVs
Perf improvements:
12% speedup in LLM prefill phase and upto 16% speedup in autoregressiv... | true |
2,832,535,507 | fix: replace stderr with stdout for download messages in hub.py | yousoumar | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 14 | CONTRIBUTOR | This PR addresses an issue where download logs in `hub.py` are sent to `stderr` instead of `stdout`. Hence, when running models with workers, these messages are incorrectly categorized as errors, leading to confusion. | true |
2,832,468,878 | Fix torch.take_along_dim param type and default description | zeshengzong | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: python_frontend"
] | 9 | CONTRIBUTOR | ## Changes
- Change type description to `LongTensor`, consistent with [`torch.take`](https://pytorch.org/docs/stable/generated/torch.take.html)
- Add `dim` param default value description
## Test Result
**Before**
**... | true |
2,832,252,201 | [export] Fix logger handler | angelayi | closed | [
"fb-exported",
"release notes: export"
] | 2 | CONTRIBUTOR | Differential Revision: D69169179
| true |
2,832,182,815 | Refactoring pipeline parallelism test cases to be device agnostic [1/n] | AnantGulati | closed | [
"oncall: distributed",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: pipelining"
] | 15 | CONTRIBUTOR | In this series of PR we intend to refactor pipeline parallelism test cases to enable to be completely device agnostic.
These changes will include the following approaches to do the same :
- Allowing for multiple device types using instantiate_device_type_test
- Replacing calls to cuda stream with torch.get_dev... | true |
2,832,116,196 | Automatic Dynamic does not handle Tuple fields blocking automatic dynamic on norm layers | laithsakka | open | [
"triaged",
"oncall: pt2",
"module: dynamic shapes"
] | 0 | CONTRIBUTOR | if we have the following:
program then automatic dynamic can handle it fine (meaning after the second compile we generate a program that is dynamic with respect to any inputs to the Model)
```python
import torch
import torch.nn as nn
# so automatic dynamic does work fine if we set those two to false.
torch._dynamo.con... | true |
2,832,074,046 | Fix torch.nn.functional.one_hot param num_classes optional description | zeshengzong | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 7 | CONTRIBUTOR | `torch.nn.functional.one_hot` [document](https://pytorch.org/docs/stable/generated/torch.nn.functional.one_hot.html) describe param `num_classes` not optional, but user can call method without pass it.
```python
>>> import ... | true |
2,831,891,107 | [ONNX] Improve deprecation messages | justinchuby | closed | [
"module: onnx",
"triaged"
] | 0 | COLLABORATOR | - [x] Create warnings https://github.com/pytorch/pytorch/pull/146425 https://github.com/pytorch/pytorch/pull/146639
- [x] Create warnings for torch.onnx.export deprecated options
- [x] Remove mentioning of the deprecated dynamo classes in docs
- [x] Improve documentation
- [x] Deprecation warning for OperatorExportTyp... | true |
2,831,847,538 | all_to_all_single hangs when some ranks don't send anything | Edenzzzz | closed | [
"oncall: distributed"
] | 7 | NONE | ### 🐛 Describe the bug
When using `all_to_all_single` with two ranks and **only one sending rank** in a diffusion model forward region, the code deadlocks. However, when taking only the all to all part out with the same send & recv splits and input sizes, the code runs smoothly. In the logs below, rank 1 recv buffer ... | true |
2,831,802,832 | Fix an issue where functional collectives don't force fx stride on inputs when compiled | yifuwang | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)",
"module: inductor",
"ciflow/inductor"
] | 13 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146467
Fixes https://github.com/pytorch/pytorch/issues/146416
Also added contiguity checks in the C++ functional collective ops to prevent striding issues introduced during compilation manifest as silent correctness issues.
cc... | true |
2,831,724,217 | Fix one_hot inconsistent errors after compile | zeshengzong | open | [
"triaged",
"open source",
"topic: not user facing",
"module: dynamo"
] | 10 | CONTRIBUTOR | Fixes #146274
**Test Result**
```python
>>> import torch
>>> f = torch.nn.functional.one_hot
>>> a = torch.arange(0, 5) % 3 # [0,1,2,0,1]
>>> num_classes = 0
>>> torch.nn.functional.one_hot(a,num_classes)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
RuntimeError: Class values ... | true |
2,831,688,349 | [MPS] Implement support for zeta (both eager and inductor). | dcci | closed | [
"Merged",
"topic: improvements",
"module: mps",
"release notes: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 4 | MEMBER | A test was failing in inductor (`test_pointwise_zeta`) -- and I realized the operation was missing also from eager.
Implemented for both, leveraging the kernel. Happy to split in two (one PR for eager, one for inductor) if folks prefer.
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @pengui... | true |
2,831,643,171 | [symbolic shapes] Log id for each SymNode | angelayi | closed | [
"release notes: fx",
"fx",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,831,629,293 | [inductor] fix custom op returning unbacked symint | ydwu4 | closed | [
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146463
Fixes https://github.com/pytorch/pytorch/issues/146457.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8... | true |
2,831,624,833 | [aotinductor] add option to disable runtime assertions | ColinPeppler | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 24 | CONTRIBUTOR | A recent user experience is like this:
* User runs AOTI lowering, it's successful.
* They take AOTI model and run it with some sample inputs. Everything runs well
* Then they boot up a serving test that loads the AOTI model and runs it with a set of sample requests.
* They see that some of the requests fail. The lo... | true |
2,831,616,243 | [CUDA][SDPA] Compute reference in `test_triton_scaled_dot_product_attention_block_size_16_cuda_float32` in `float64` | eqy | closed | [
"module: sparse",
"module: cuda",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: sdpa"
] | 8 | COLLABORATOR | Seems to currently fail with mismatches in the 1e-4 range presumably due to sdpa calling into the `MATH` backend here which is less fused than a triton kernel. Doing the ref computation in `float64` appears to fix it.
cc @alexsamardzic @nikitaved @pearu @cpuhrsch @amjames @bhosmer @jcaip @ptrblck @msaroufim | true |
2,831,592,851 | [MPSInductor] Scope-down test_prod running in MPS | malfet | closed | [
"Merged",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146458
* __->__ #146460
As mutli-stage reductions are yet not a thing, but original `test_prod` just returned 0 for large reductions, so failures were reported as flaky ones, but if one to run the same test with `MTL_DEBUG_LAYER=1` than... | true |
2,831,586,059 | [ONNX] Support torchvision ops | justinchuby | open | [
"module: onnx",
"triaged"
] | 0 | COLLABORATOR | null | true |
2,831,584,820 | [MPS] Add error checking when dispatching kernel | malfet | closed | [
"Merged",
"topic: improvements",
"release notes: mps",
"ciflow/mps"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146458
That thread-group size should not exceed maximum thread group size
Add regression test to validate that
Make failures like https://github.com/pytorch/pytorch/issues/146430 much easier to detect | true |
2,831,580,978 | Inductor cannot handle custom ops that return unbacked symint | ydwu4 | open | [
"triaged",
"module: custom-operators",
"oncall: pt2",
"module: inductor",
"module: pt2-dispatcher"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
Seems there's some code-gen issue for custom op that returns unbacked symints:
```python
import torch
@torch.library.custom_op("mylib::foo", mutates_args={})
def maybe_alias(x: torch.Tensor) -> int:
s = x.sum().to(torch.int64)
if s > 0:
return -s.item()
return s.item()
def... | true |
2,831,573,110 | Fix workarea compute in lapackSyevd | wdvr | closed | [
"Merged",
"ciflow/trunk",
"release notes: linalg_frontend"
] | 6 | CONTRIBUTOR | work-query APIs return floating point values, that could loose precision when converted back to int. Solve this by using `nextafter` and `ceil`
Add regression test
Fixes #145801
| true |
2,831,572,388 | [logging] Save compile state in CompiledFxGraph and make it available at runtime | masnesral | closed | [
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146455
Summary: To support logging the correct compile_id for runtime timings (like Triton autotuning), save the compile_id in CompiledFxGraph make it available to logging utilities, i.e., dynamo_timed.
The previous attempt put t... | true |
2,831,525,752 | [dynamo][fullgraph] Raise NoGraphError if no graph with fullgraph=True | anijain2305 | closed | [
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146454
* #146507
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,831,501,329 | revert PTD's change that leads to signature mismatch of printNcclCommProxyTrace | dmwu | closed | [
"oncall: distributed",
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 7 | CONTRIBUTOR | Summary: D68801098 introduced this function signature mismatch issue for printNcclCommProxyTrace. Revert it so that trunk build can pass.
Test Plan:
With the change, build of APS model using rcclexp can now pass:
`sh scripts/ltian/run_jobs/fb_fm_v2/run_fb_fm_v2_job.sh -h T20_GTT_MI300X -n 16 -b 1024 -t [2024-12-06] -d... | true |
2,831,461,744 | cpp_wrapper: enable all CI inductor tests | benjaminglass1 | closed | [
"open source",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"keep-going",
"ci-no-test-timeout"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146452
* #146706
* #146424
* #146109
* #146449
* #144349
* #144293
* #146928
With the speedups from precompiled headers, we can now enable all currently enabled CI tests for inductor in cpp_wrapper mode.
cc @voznesenskym @penguinwu ... | true |
2,831,456,514 | [XPU] Enable nightly builds for python 3.13t | atalman | closed | [
"triaged",
"topic: binaries",
"intel",
"module: xpu"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
Related to https://github.com/pytorch/pytorch/issues/130249
Please enable support for Python 3.13t on XPU devices. Currently 3.13t nightly builds are disabled for XPU : https://github.com/pytorch/pytorch/blob/main/.github/scripts/generate_binary_build_matrix.py#L356
Example PR enabling MacOS ... | true |
2,831,425,833 | distributed; If we are in fbcode, set a default log_line_prefix_template of | c00w | closed | [
"oncall: distributed",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146450
* #145122
[${role_name}${rank}|${local_rank}]:
Summary:
This removes the need for every fbcode user to try and remember the correct way
to set this to get log filtering to work
Test Plan:
Should only have impacts on trainer... | true |
2,831,397,504 | cpp_wrapper: handle mixed-device C-shim fallbacks | benjaminglass1 | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 6 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146991
* #146706
* #146424
* #146109
* __->__ #146449
Fixes an error from test_torch, where a CUDA cpp_wrapper run called a CUDA native C-shim kernel with two CPU tensors.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @Xiaob... | true |
2,831,382,261 | [ROCm] Indexing perf optimization via Unroll/WideFetch/IdxReuse/OneDupOpt | amd-hhashemi | closed | [
"module: rocm",
"triaged",
"open source",
"Stale",
"release notes: cuda"
] | 3 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,831,376,535 | Fix workflow for closing nonexistent disable issues | clee2000 | closed | [
"Merged",
"topic: not user facing"
] | 3 | CONTRIBUTOR | The workflow could not update issues because it didn't have permissions, and it looked green because it didn't check return codes.
Tested by running the workflow and seeing that issues did get closed
Fixes https://github.com/pytorch/pytorch/issues/145382 | true |
2,831,327,964 | API for custom error messages from graph break annotations (torch._dynamo.disable) | xmfan | closed | [
"triaged",
"oncall: pt2",
"module: dynamo",
"dynamo-triage-jan2025",
"module: compile ux"
] | 2 | MEMBER | ### 🚀 The feature, motivation and pitch
Within our 1P features, we use `torch._dynamo.disable`. By default, this displays an error message like: `torch._dynamo.exc.Unsupported: call torch._dynamo.disable() wrapped function <function OpNamespace.add.<locals>.fn at 0x7f9b1aba7370>`. We will probably want to improve thi... | true |
2,831,320,616 | fix tf32 issue in test_inductor_freezing.py unit tests | Fuzzkatt | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 9 | COLLABORATOR | Test is hitting numerical mismatches in NVIDIA internal CI. Add tf32_on_and_off decorater, update check to assertEqual
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @amjames @desertfire @chauhang @... | true |
2,831,278,961 | Stop poisoning fork on Dataloader creation when pin_memory is enabled | albanD | closed | [
"release notes: dataloader",
"topic: bug fixes"
] | 1 | COLLABORATOR | Fixes https://github.com/pytorch/pytorch/issues/144687
Needs https://github.com/pytorch/pytorch/pull/146098 that already landed to fix the issue above
A longer-term fix would be to move cuda's non-poisoning is_available() check to c++. But that would be quite a bit of work.
This PR also updates the behavior of c... | true |
2,831,272,217 | [TreeSpec] Add custom comparision function | henryhu6 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 11 | CONTRIBUTOR | Summary:
https://github.com/pytorch/pytorch/pull/145815 used caching to for treespec_loads calculation to speed up AOTI module call.
However, this made tests flaky due when comparing TreeSpec for objects in local scope. ie. 'test_export.TestExport.test_pytree_register_nested_data_class.<locals>.Inner'
Type comparison... | true |
2,831,197,948 | [ONNX] Run decomp creates different results | justinchuby | closed | [] | 0 | COLLABORATOR | ```py
import torch
from torch.onnx._internal.exporter._registration import ONNXRegistry
from torch.onnx._internal.exporter import _decomp
class Model(torch.nn.Module):
def forward(self, x):
return torch.ops.aten.flatten.using_ints(x, -2)
def decompose_with_registry(
exported_program: torch.export.Ex... | true |
2,831,133,715 | [sigmoid] Implement a OSS only model runner. | zhxchen17 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export"
] | 7 | CONTRIBUTOR | Summary: Implement an oss version of modelrunner with clean dependencies. The new oss model runner only removes thrift and only use json header to load the model.
Test Plan: Test will be added in the next diff separately. (D69060784)
Differential Revision: D68846877
| true |
2,831,108,176 | [Codemod][AddExplicitStrictExportArg] caffe2/torch | gmagogsfm | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"fx",
"module: inductor",
"module: dynamo",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Differential Revision: D69068432
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv @voznesenskym @penguinwu @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @amjames @desertfire @chauhang @aakhundov | true |
2,831,078,001 | [export] make stack_trace optional in insert_custom_op_guards | pianpwk | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export"
] | 9 | CONTRIBUTOR | Summary: Fixes 1 PT2I exportability error
Test Plan: -
Differential Revision: D69132186
| true |
2,831,051,955 | Revert D68880766 | avikchaudhuri | closed | [
"fb-exported",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export"
] | 5 | CONTRIBUTOR | Summary:
This diff reverts D68880766
(The context such as a Sandcastle job, Task, SEV, etc. was not provided.)
Test Plan: NA
Differential Revision: D69129334
| true |
2,831,048,438 | [Testing] Reduce `test_exp` flakiness | malfet | open | [
"Merged",
"Reverted",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 10 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146436
By setting `reference_in_float` to false, as `exp(a + b)` could yield significantly different results than `exp(a.half()+b.half())` as one can see in the following example (which is accidentally the random values generated b... | true |
2,831,047,466 | UNSTABLE slow / linux-focal-rocm6.3-py3.10 / test (slow) | atalman | closed | [
"module: rocm",
"module: ci",
"triaged",
"unstable"
] | 2 | CONTRIBUTOR | https://github.com/pytorch/pytorch/issues/146409
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd @seemethere @malfet @pytorch/pytorch-dev-infra | true |
2,831,046,805 | UNSTABLE periodic / linux-focal-rocm6.3-py3.10 / test (distributed) | atalman | closed | [
"module: rocm",
"module: ci",
"triaged",
"unstable"
] | 2 | CONTRIBUTOR | https://github.com/pytorch/pytorch/issues/146409
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd @seemethere @malfet @pytorch/pytorch-dev-infra | true |
2,831,045,898 | UNSTABLE inductor-rocm / rocm6.3-py3.10-inductor / test (inductor) | atalman | closed | [
"module: rocm",
"module: ci",
"triaged",
"unstable"
] | 2 | CONTRIBUTOR | https://github.com/pytorch/pytorch/issues/146409
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd @seemethere @malfet @pytorch/pytorch-dev-infra | true |
2,831,043,716 | UNSTABLE rocm / linux-focal-rocm6.3-py3.10 / test (default) | atalman | closed | [
"module: rocm",
"module: ci",
"triaged",
"unstable"
] | 2 | CONTRIBUTOR | https://github.com/pytorch/pytorch/issues/146409
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd @seemethere @malfet @pytorch/pytorch-dev-infra | true |
2,831,038,029 | Failing to free a tensor allocated while a torch.cuda.Mempool is active results in that tensor being freed with cudaFree() rather than the custom free function. | galv | open | [
"module: cuda",
"triaged"
] | 10 | COLLABORATOR | ### 🐛 Describe the bug
Currently, in the main branch, torch.cuda.MemPool was recently merged, which should allow for us to mix and match allocators in pytorch, but I have found that the current implementation is broken.
I was inspired by recent work to "suspend" temporary GPU buffers in cuda graphs used by cuda grap... | true |
2,831,028,570 | DISABLED test_prod (__main__.MPSBasicTests) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"module: macos",
"skipped",
"module: mps"
] | 4 | NONE | Platforms: mac, macos
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_prod&suite=MPSBasicTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36656410343).
Over the past 3 hours, it has been determined ... | true |
2,830,972,852 | [MPSInductor] Implement `argmax`/`argmin` | malfet | closed | [
"Merged",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146436
* __->__ #146429
* #146428
* #146423
TODOs:
- Find test with NaN
- Report internal compiler error when running `test_argmax_argmin1` (which is actually not enough shared memory)
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guob... | true |
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