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 |
|---|---|---|---|---|---|---|---|---|
3,031,972,782 | Use swap_tensors path in nn.Module.to for all subclasses that override __torch_dispatch__ | mikaylagawarecki | open | [
"Merged",
"Reverted",
"ciflow/trunk",
"release notes: nn",
"ci-no-td"
] | 9 | CONTRIBUTOR | Fixes https://github.com/pytorch/pytorch/issues/148977
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152539
| true |
3,031,972,618 | Disable SLEEF implementation of vec::maximum in vec128_float_neon.h | Accelerate aten::hardtanh_ by 21x | Rohanjames1997 | closed | [
"module: cpu",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | CONTRIBUTOR | The `has_inf_nan` implementation in `vec::maximum` is scalar, and it slows down certain activations like `tanh` by almost 20 times. Additionally, the `vec::minimum` function simply uses NEON intrinsics and not SLEEF. This PR makes the two fns similar in implementation.
Besides, the SLEEF function `Sleef_fmaxf4` ulti... | true |
3,031,970,557 | [CI] Use cmake from pip instead of conda in CI docker images | clee2000 | open | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor",
"ci-no-td"
] | 13 | CONTRIBUTOR | As in title
idk how the install_cmake script is used because I see it being called with 3.18 but when I look at the build jobs some say 3.18 and others 3.31
Just make everything install cmake via the requirements-ci.txt. I don't know if the comment at https://github.com/pytorch/pytorch/blob/5d36485b4aa5823bb9ee5... | true |
3,031,883,217 | [PT2] Port replace_lce_with_matmul / replace_first_lce_with_fused_matmul_lce to PT2 pre_grad passes (#152450) | kqfu | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 7 | CONTRIBUTOR | Summary:
Same with D71358949, but removing newly added log to avoid test failures.
Port over replace_lce_with_matmul and replace_first_lce_with_fused_matmul_lce to PT2 pre_grad pass.
Original dper pass diffs: D67884534, D68123479, D68384238
Test Plan:
Test 1. Covers replace_lce_with_matmul and case 1 of replace_firs... | true |
3,031,815,308 | optree package status in PyTorch | zou3519 | open | [
"high priority",
"triaged",
"module: pytree",
"dependency issue"
] | 5 | CONTRIBUTOR | ## Motivation
"optree >= 0.13.0" is an optional dependency for PyTorch. There's not a good way to specify this in the package metadata, so we have code checks doing this. We ran into some issues with the PyTorch 2.7 release where the "optional dependency checking" code broken and we ended up (1) crashing on optree < 0... | true |
3,031,617,655 | AsyncCollectiveTensor doesn't trigger wait upon dtype cast | lw | closed | [
"oncall: distributed",
"triaged"
] | 9 | CONTRIBUTOR | ### 🐛 Describe the bug
This repro fails:
```py
import tempfile
import torch
import torch.distributed as dist
import torch.distributed._functional_collectives as funcol
from torch.distributed.device_mesh import DeviceMesh
from torch.distributed.tensor.experimental import local_map
from torch.distributed.tensor import... | true |
3,031,611,336 | Do not check out nccl when not building it | mgorny | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 7 | CONTRIBUTOR | Add additional conditions to `build_pytorch_libs.py` to avoid fetching NCCL when `USE_CUDA` or `USE_NCCL` are disabled. While at it, adjust the existing condition for `USE_SYSTEM_NCCL` to use the utility function.
| true |
3,031,471,033 | The 2.7.0 release tarball is missing `.ci/docker/ci_commit_pins/nccl-cu12.txt` required for building | mgorny | open | [
"oncall: package/deploy"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
When trying to build PyTorch 2.7.0 from the `.tar.gz` attached to [the release](https://github.com/pytorch/pytorch/releases/tag/v2.7.0), I'm seeing the following error:
```pytb
Traceback (most recent call last):
File "/var/tmp/conda-bld/work/setup.py", line 1503, in <module>
main()
Fil... | true |
3,031,031,190 | [inductor][triton] Inductor is not compatible with the latest upstream Triton | xuzhao9 | closed | [
"oncall: pt2",
"upstream triton"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
Upstream https://github.com/triton-lang/triton/commit/850525276426fb9814399a8e0ee8fdf744229b02 removes `launch_enter_hook` from triton.compiler.CompiledKernel and https://github.com/triton-lang/triton/commit/efa87747342dc50b3c87a357f13288168d6e6e1c renames it to `triton.knobs.runtime.launch_en... | true |
3,030,865,350 | NotImplementedError: Operator aten.view.dtype does not have a sharding strategy registered. | neverix | closed | [] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
As stated in the title, the dtype transmute operator doesn't work for DTensor.
This code fails:
```
import torch
import torch.distributed as dist
import torch.distributed.tensor as dtensor
from torch.distributed.tensor.device_mesh import init_device_mesh
import os
rank = int(os.environ.get("L... | true |
3,030,850,004 | Add methods for checking Triton availability to the device interface | galexite | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo"
] | 7 | CONTRIBUTOR | Adds the `is_triton_capable` and `raise_if_triton_unavailable` class methods to the device interface, to allow device types to run their own checks for Triton _capability_ (which means a device can actually support Triton in the first place) and _availability_ (if the correct backend of Triton is installed and is funct... | true |
3,030,777,501 | flex attention does not leverage masking, memory error | Bastien-mva | closed | [
"triaged",
"module: flex attention"
] | 1 | NONE | ### 🐛 Describe the bug
I use the `flex_attention` for very large time series, and want to compute a sliding window attention. I create a `block_mask` to avoid computing the not needed outer products of classical attention. However, it seems that `flex_attention` computes this outer product between query and key. Thi... | true |
3,030,729,300 | can't reconstruct the communication group using PyTorch. | nannaer | open | [
"oncall: distributed",
"triaged",
"module: c10d"
] | 2 | NONE | ### 🐛 Describe the bug
I attempted to use PyTorch to establish communication groups, but I encountered an error. The code flow is as follows: First, use two processes, 0 and 1, as the first communication group to perform an all-reduce operation, and use three processes, 2, 3, and 4, as the second communication group ... | true |
3,030,571,422 | Use std::apply for CPU code | cyyever | open | [
"module: cpu",
"triaged",
"open source",
"topic: not user facing"
] | 3 | COLLABORATOR | The supported compilers are recent enough to enable std::apply in C++17.
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @jerryzh168 | true |
3,030,567,310 | elastic: do not shutdown rendezvous on leaving workers | georgkaleido | open | [
"oncall: distributed",
"triaged",
"open source",
"release notes: distributed (torchelastic)"
] | 1 | NONE | In #117066, shutdown of the rendezvous was added if a worker shuts down. This is incorrect, because the rendezvous is actually shutdown in [this file](https://github.com/pytorch/pytorch/blob/fa6f9eb2be07f6289d2ab4e781077f7fc75dbe55/torch/distributed/launcher/api.py#L290) but should not be shutdown if a signal is receiv... | true |
3,030,410,049 | Release torch with CUDA12.1 for 2.6 and even latest version | zh794390558 | closed | [
"oncall: releng"
] | 1 | NONE | ### 🚀 The feature, motivation and pitch
Release torch with CUDA12.1 for 2.6 and even latest version
### Alternatives
_No response_
### Additional context
_No response_ | true |
3,030,367,093 | [compile async] [cache] testing | ChuanqiXu9 | open | [
"open source",
"topic: not user facing",
"module: inductor"
] | 7 | CONTRIBUTOR | The comment (https://github.com/pytorch/pytorch/blob/5a52e050248c71dd6e84f51d25cbd17a88555800/torch/_inductor/compile_fx_subproc.py#L70-L87) say it is problematic to not clean the cache for subprocess compile.
But I have some problems to test this locally. I followed the suggestion here https://dev-discuss.pytorch.o... | true |
3,030,312,358 | Remove the unnecessary cuda/Tensor.cpp | FFFrog | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"skip-pr-sanity-checks"
] | 4 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152522
* #152521
* #152513
* #152512
As the title stated.
**Question:**
I have carefully looked through all the .h files in Tensor.cpp and from my perspective this file does not make sense. Does anyone know what the background is f... | true |
3,030,312,126 | Make torch/csrc/utils.h to be device-agnostic | FFFrog | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/rocm"
] | 6 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152522
* __->__ #152521
* #152513
* #152512
`torch/csrc/utils.h` should be device-independent. Currently, it contains CUDA-related implementations, which indirectly causes the [failure of ROCm testing](https://github.com/pytorch/pytorch/pul... | true |
3,030,309,032 | DISABLED test_comprehensive_lu_cuda_float32 (__main__.TestInductorOpInfoCUDA) | pytorch-bot[bot] | open | [
"high priority",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 4 | NONE | Platforms: inductor
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_comprehensive_lu_cuda_float32&suite=TestInductorOpInfoCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/41392207876).
Over the past ... | true |
3,030,274,206 | update README | TheHiddenLayer | closed | [
"open source",
"topic: not user facing"
] | 2 | NONE | Fixes #ISSUE_NUMBER
| true |
3,030,243,769 | Remove redundant line in partitioner | fmassa | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 5 | MEMBER | Summary: This is a cleanup from https://github.com/pytorch/pytorch/pull/152264, which contained a line which was a vestige from a previous implementation.
Test Plan: Let CI run
Differential Revision: D73904636
| true |
3,030,230,515 | second test to fix after added logging | wdvr | closed | [
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
3,030,210,866 | [MPS] Migrate mul to TensorIterator | malfet | closed | [
"Merged",
"topic: not user facing",
"release notes: mps",
"ciflow/mps"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152743
* #152737
* __->__ #152515
What initially supposed to be a very straightforward change resulted in small refactor of binary op tensor generators when invoked for mixed dtype, which surfaced via `test_output_grad_match_sinc_mps_... | true |
3,030,177,025 | [MPS][BE] Migrate `lerp.Scalar.out` to tensor iterator | malfet | closed | [
"Merged",
"release notes: mps",
"ciflow/mps"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152515
* __->__ #152514
| true |
3,030,145,839 | Remove unnecessary __STDC_FORMAT_MACROS macro | FFFrog | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 5 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152522
* #152521
* __->__ #152513
* #152512
As the title stated. | true |
3,030,136,915 | Remove unnecessary condition compilation macro | FFFrog | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152522
* #152521
* #152513
* __->__ #152512
As the title stated. | true |
3,030,129,039 | DISABLED test_inductor_debug (__main__.LoggingTests) | malfet | closed | [
"high priority",
"triage review",
"module: flaky-tests",
"skipped"
] | 2 | CONTRIBUTOR | This test was disabled because it is failing on main branch ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22dynamo%2Ftest_logging.py%3A%3ALoggingTests%3A%3Atest_inductor_debug%22%5D)).
cc @ezyang @gchanan @zou3519 @kadeng @msaroufim @clee2000 | true |
3,030,027,552 | [BE] Migrate all add/sub ops to Metal kernels | malfet | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"release notes: mps",
"ciflow/mps"
] | 5 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152510
As typecasting harness shoudl take care of all permutations
Fix bug in `exec_binary_kernel` where it was not properly downcasting CPU double/complexDouble scalars to floats
Fixes https://github.com/pytorch/pytorch/issue... | true |
3,029,974,976 | [2/N] Deprecate c10::string_view and at::string | cyyever | open | [
"open source",
"ciflow/trunk",
"topic: not user facing"
] | 3 | COLLABORATOR | Fixes #ISSUE_NUMBER
| true |
3,029,962,779 | [quantizer] Fix quantizer tests after dq conv is enabled | mcr229 | closed | [
"fb-exported",
"ciflow/trunk",
"release notes: quantization",
"release notes: AO frontend"
] | 2 | CONTRIBUTOR | Summary:
X-link: https://github.com/pytorch/executorch/pull/10569
Fixing some broken tests after we enabled dq convs
Test Plan: CI
Differential Revision: D73898719
| true |
3,029,932,451 | [inductor] [compile async] Don't compile in eager | ChuanqiXu9 | open | [
"triaged",
"open source",
"topic: not user facing",
"module: inductor"
] | 7 | CONTRIBUTOR | Previously we will compile in eager mode.
This looks not intentional according to the test. There is a check to check the number of compilations (in current process) to be 0. But maybe due to an oversight, the number it checks is always a zero.
In _InProcessFxCompile and _SerializedFxCompile, we increment the num... | true |
3,029,906,972 | [Hierarchical Compile] Take into account mutation deps in cycle detection | mlazos | open | [
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152589
* #152572
* #152570
* __->__ #152506
* #152410
* #152505
* #152389
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
3,029,906,894 | [Hierarchical Compilation] Use universal flatten APIs | mlazos | open | [
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152589
* #152572
* #152570
* #152506
* #152410
* __->__ #152505
* #152389
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
3,029,900,600 | [Metal] Extend typecasted op support to complex dtypes | 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):
* #152514
* #152510
* #152485
* __->__ #152504
First of all, by extending `c10::metal::cast_to` to work correctly with complex dtypes, by introducing two more specializations: one that casts complex to scalar, and another that casts scalar to... | true |
3,029,884,179 | Return ConstantVariable(None) from WithExitFunctionVariable.exit to prevent NoneType crash inside autocast exception path | jansel | closed | [
"Merged",
"ciflow/trunk",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 3 | CONTRIBUTOR | Copy of #152013 with PR time benchmarks updated (regressions seem unrelated)
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
3,029,879,537 | Refactor nested benchmark functions in AlgorithmSelectorCache | masnesral | closed | [
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152502
* #152147
Summary: The motivation is make AlgorithmSelectorCache.benchmark_in_current_process() a toplevel method so that I can leverage it for remote auto-tune. Currently, it's nested inside make_benchmark_fn(). Just for cons... | true |
3,029,872,798 | [Metal] Extend typecasted op support to complex dtypes | malfet | closed | [
"topic: bug fixes",
"release notes: mps",
"ciflow/mps"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* (to be filled)
| true |
3,029,852,966 | DISABLED test_comprehensive_repeat_cuda_float64 (__main__.TestInductorOpInfoCUDA) | pytorch-bot[bot] | open | [
"high priority",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: inductor
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_comprehensive_repeat_cuda_float64&suite=TestInductorOpInfoCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/41381960290).
Over the p... | true |
3,029,846,567 | [ez][export] suggest torch._checks only for booleans | pianpwk | closed | [
"Merged",
"ciflow/trunk",
"fx",
"ciflow/inductor",
"release notes: export"
] | 3 | CONTRIBUTOR | We were doing this when the error was coming from int/float casts, suggesting fixes like `torch._check(zuf0), torch._check(~zuf0)`
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
3,029,816,723 | [cutlass backend] Add addmm dynamic support | henrylhtsang | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152498
Differential Revision: [D73893133](https://our.internmc.facebook.com/intern/diff/D73893133/)
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chen... | true |
3,029,814,717 | [export] support SymInt minlength for torch.bincount() | pianpwk | closed | [
"Merged",
"ciflow/trunk",
"release notes: export"
] | 4 | CONTRIBUTOR | null | true |
3,029,803,932 | Expose NCCL communicator from ProcessGroupNCCL via an unsafe API | GD06 | closed | [
"oncall: distributed",
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)",
"ciflow/autoformat"
] | 14 | CONTRIBUTOR | Differential Revision: D73892691
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k | true |
3,029,790,604 | [export] Refactor pt2 save/load | angelayi | open | [
"ciflow/trunk",
"module: inductor",
"ciflow/inductor",
"release notes: export"
] | 3 | CONTRIBUTOR | Refactor the pt2 archive saving to consolidate the format of torch.export.save and torch._inductor.package.package_aoti.
This PR adds the following functions, which torch.export.save and AOTI packaging calls into:
```python
package_pt2(
f: FileLike,
*,
exported_programs: Optional[Union[ExportedProgr... | true |
3,029,758,654 | [inductor][invoke_subgraph] Free the buffers before the subgraph call | anijain2305 | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ci-no-td",
"ciflow/pull"
] | 19 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152675
* __->__ #152494
Before
After
tlparse - ht... | true |
3,029,756,050 | fix tests broken after #152450 | wdvr | open | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"ci-no-td"
] | 14 | CONTRIBUTOR | Updating test expected value after #152450
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
3,029,750,573 | [ROCm] add almalinux images | jeffdaily | closed | [
"module: rocm",
"open source",
"Merged",
"topic: not user facing",
"ciflow/rocm"
] | 3 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
3,029,734,938 | [CUDA][SDPA] Bump python `fused_attention_vs_math_ref_grads` `fudge_factor` for `sm120` | eqy | closed | [
"module: cuda",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: sdpa"
] | 3 | COLLABORATOR | 🍦
cc @ptrblck @msaroufim @jerryzh168 | true |
3,029,727,452 | [invoke_subgraph] Simplify output code for subgraph output node | anijain2305 | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 8 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152675
* #152494
* __->__ #152490
* #152383
Before - [manifold.edge.x2p.facebook.net/v0/read/tree/logs/.tmppQg3F8/index.html?bucketName=tlparse_reports&apiKey=tlparse_reports-key&withPayload=1&timeoutMsec=10000](https://manifold.edge.x2p.f... | true |
3,029,727,054 | UNSTABLE Lint / Lint URLs / linux-job | huydhn | open | [
"module: ci",
"triaged",
"unstable"
] | 1 | CONTRIBUTOR | This is added recently, mark it as unstable for now
cc @seemethere @malfet @pytorch/pytorch-dev-infra | true |
3,029,707,668 | [ROCm] Use almalinux docker files for building Magma | jeffdaily | closed | [
"module: rocm",
"open source",
"Merged",
"topic: not user facing",
"ciflow/rocm"
] | 3 | COLLABORATOR | Fixes #151707 for ROCm Magma builds. See also #152358. Depends on #152492.
cc @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
3,029,706,699 | [inductor][BE] Add more debug logs for why fx graph cache doesn't happen | henrylhtsang | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"ci-no-td"
] | 10 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152487
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
3,029,694,822 | Change unsafe_marked_cacheable_functions to a dictionary, so that you can specify a static cache key | jamesjwu | open | [
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"merging"
] | 11 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152486
Fixes https://github.com/pytorch/pytorch/issues/152434
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjame... | true |
3,029,684,105 | [MPS][BE] Remove `exec_binary_alpha_kernel` | 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):
* #152515
* #152514
* #152510
* __->__ #152485
Which was almost a complete copy-n-paste from exec_binary_kernel anyway
Just add `Scalar` as an optional argument and figure out kernel name during the invocation rather than in executor | true |
3,029,681,192 | Fix flaky test in test_custom_ops | angelayi | open | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"merging",
"ci-no-td",
"ciflow/pull"
] | 17 | CONTRIBUTOR | Hopefully fixes https://github.com/pytorch/pytorch/issues/151301, https://github.com/pytorch/pytorch/issues/151281 by making the ops have different names | true |
3,029,661,503 | [inductor][BE] cleanup and improve precompilation loggings | henrylhtsang | 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):
* __->__ #152483
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
3,029,655,481 | Update CODEOWNERS (torch/utils/data/) | divyanshk | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | CONTRIBUTOR | Updating codeowners for dataloading
| true |
3,029,654,460 | [nativert] port enumerate from folly to c10::utill | dolpm | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 17 | CONTRIBUTOR | Summary:
nativert RFC: https://github.com/zhxchen17/rfcs/blob/master/RFC-0043-torch-native-runtime.md
To land the runtime into PyTorch core, we will gradually land logical parts of the code into the Github issue and get each piece properly reviewed.
This diff ports an enumeration util from folly into c10.
Test Plan:... | true |
3,029,650,141 | [dynamo] Try tracing into einops | StrongerXi | open | [
"triaged",
"oncall: pt2",
"module: dynamo"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
This will allow us to
1. get rid of https://github.com/pytorch/pytorch/blob/accffef504b9162718c535201c263070565f28fa/torch/_dynamo/decorators.py#L704-L735
2. handle `einops` in a better way for AOTDispatcher cache: #152369.
### Error logs
_No response_
### Versions
main
cc @chauhang @pengu... | true |
3,029,650,004 | [MPS] Fix lerp for complex numbers | malfet | closed | [
"Merged",
"topic: bug fixes",
"release notes: mps",
"ciflow/mps"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152510
* #152485
* #152504
* __->__ #152479
* #152466
As well as `.add`/`.sub` with complex alpha
Before this change `python3 -c "import torch;print(torch.rand(10, device='mps', dtype=torch.complex64).add(torch.rand(10, device='mps', dtype... | true |
3,029,637,430 | [ONNX] Suggest users setting dynamo=True when exporting | titaiwangms | closed | [
"open source",
"Merged",
"ciflow/trunk",
"release notes: onnx"
] | 7 | COLLABORATOR | Fixes #152025
| true |
3,029,633,929 | [DO NOT REVIEW] Attempt a mixed precision fused adam | janeyx99 | open | [
"ciflow/trunk",
"release notes: foreach_frontend"
] | 2 | CONTRIBUTOR | Non ghstack version of stack at #147653 for easy import
| true |
3,029,627,570 | [inductor][BE] cleanup and improve precompilation loggings | henrylhtsang | closed | [
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152476
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
3,029,613,684 | [nativert] Move TensorMeta to pytorch core | yiming0416 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 20 | CONTRIBUTOR | Summary:
Torch Native Runtime RFC: https://github.com/pytorch/rfcs/pull/72
This diff moves `TensorMeta.cpp` and `TensorMeta.h` to PyTorch core under `torch/nativert/graph/`
Existing `torch::_export::TensorMeta` in `torch/csrc/utils/generated_serialization_types.h` is auto-generated from the export serde schema a... | true |
3,029,604,114 | [CUDA] Fix `test_multi_device_context_manager` on CUDA | eqy | closed | [
"module: multi-gpu",
"module: cuda",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | COLLABORATOR | Seems there was a typo where `set_device` was called when the intent was to use `current_device`
As-is the test will fail on multigpu systems with
`TypeError: set_device() missing 1 required positional argument: 'device'`
cc @ptrblck @msaroufim @jerryzh168 | true |
3,029,602,292 | [dynamo] Dynamo fails to run torch.cat() with FakeTensors because it can't confirm 's0 + s1*u0' is nonzero | Adam27X | open | [
"triaged",
"oncall: pt2",
"module: fakeTensor",
"module: dynamic shapes",
"module: dynamo"
] | 1 | NONE | ### 🐛 Describe the bug
Here's a fully reproducible test case. I found this issue using PyTorch 2.5.0 but was able to reproduce it with PyTorch 2.7.0:
```
import torch
from typing import List
from torch._dynamo.backends.common import aot_autograd
from functorch.compile import make_boxed_func
print(torch.__version__)... | true |
3,029,602,252 | [CUDAGraph Trees] support memory allocation on side stream | BoyuanFeng | closed | [
"Merged",
"Reverted",
"module: cuda graphs",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"ci-no-td"
] | 13 | CONTRIBUTOR | I tried `beginAllocateToPool` instead of `_cuda_beginAllocateCurrentStreamToPool` and the error in #151199 does not happen any more.
However, this approach is unsafe for multithreading. When multiple run_eager happens concurrently, we expect memory allocation to different mem_pool. Since beginAllocateToPool does not... | true |
3,029,600,038 | add device generalisation support for distributed tests | harikodali | open | [
"oncall: distributed",
"triaged",
"open source",
"release notes: distributed (c10d)",
"ciflow/xpu"
] | 1 | NONE | Modified following files for device generalization
test/distributed/optim/test_zero_redundancy_optimizer.py
test/distributed/test_c10d_logger.py
test/distributed/test_compute_comm_reordering.py
torch/testing/_internal/common_distributed.py
device info is retrieved and used for tests, via get_devtype() from torch... | true |
3,029,599,825 | DISABLED test_comprehensive_polygamma_polygamma_n_1_cuda_float16 (__main__.TestInductorOpInfoCUDA) | pytorch-bot[bot] | open | [
"high priority",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 5 | NONE | Platforms: inductor
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_comprehensive_polygamma_polygamma_n_1_cuda_float16&suite=TestInductorOpInfoCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/41372514... | true |
3,029,599,820 | DISABLED test_comprehensive_polygamma_polygamma_n_0_cuda_float16 (__main__.TestInductorOpInfoCUDA) | pytorch-bot[bot] | open | [
"high priority",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 6 | NONE | Platforms: inductor
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_comprehensive_polygamma_polygamma_n_0_cuda_float16&suite=TestInductorOpInfoCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/41372364... | true |
3,029,593,172 | [CUDA][TF32] Account for TF32 in `compile_kernel_advanced` | eqy | closed | [
"module: cuda",
"open source",
"Merged",
"module: tf32",
"ciflow/trunk",
"topic: not user facing"
] | 3 | COLLABORATOR | Also cleanup some uses of `assert_close` in favor of `self.assertEqual`
cc @ptrblck @msaroufim @jerryzh168 @zasdfgbnm | true |
3,029,591,389 | `torch.export` fails on `InstanceNorm1d` | ar0ck | closed | [
"oncall: pt2",
"oncall: export"
] | 2 | CONTRIBUTOR | ### 🐛 Describe the bug
```python
import torch
mod = torch.nn.InstanceNorm1d(1)
args = torch.randn(1, 2),
torch.export.export(mod, args)
```
### Error logs
```python
Traceback (most recent call last):
File "bug.py", line 5, in <module>
torch.export.export(mod, args)
File ".../lib/python3.12/site-packages/to... | true |
3,029,584,793 | [MPS][BE] Introduce `c10::metal::mul` | malfet | closed | [
"Merged",
"topic: not user facing",
"release notes: mps",
"ciflow/mps"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152510
* #152485
* #152504
* #152479
* __->__ #152466
Which multiplies two arguments for either scalar or complex data types
This allows one to get rid of bunch of complex specialization in BinaryOps | true |
3,029,536,955 | torch.export with dynamic shapes on Static Cache HF LLama model fails | peri044 | open | [
"oncall: pt2",
"oncall: export"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
I'm trying to export HF Llama model with Static Cache. StaticCache export is supported but only can be used with static input shapes (https://github.com/huggingface/transformers/blob/f39f4960f30e3eadd6d948e4dcb2da32eda253b5/tests/utils/test_cache_utils.py#L247-L271 and https://github.com/hugg... | true |
3,029,534,053 | Run link checks on modified files on push too | shoumikhin | closed | [
"Merged",
"topic: not user facing"
] | 3 | CONTRIBUTOR | https://github.com/pytorch/pytorch/issues/152439 | true |
3,029,517,587 | consolidate guard_or_x and definitely_x | laithsakka | closed | [
"Merged",
"ciflow/trunk",
"release notes: fx",
"fx",
"module: inductor",
"ciflow/inductor",
"suppress-bc-linter"
] | 12 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152463
definitely_true is almost same as guard_or_false, the potential differences are not meaningful to a degree that justify the
existence of both. same for definitely_false, it can be expressed with guard_or_true and guard_or... | true |
3,029,492,771 | [standalone_compile] fix dynamic shapes with config_patches | zou3519 | closed | [
"Merged",
"ciflow/trunk",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152462
compile_fx with config_patches goes down another path where we need to
propagate the kwarg...
Test Plan:
- updated test
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-... | true |
3,029,454,563 | Remove dead binary_ios_build, test, upload scripts | clee2000 | closed | [
"Merged",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Can't find any mentions of them in the codebase, presumably no longer used? | true |
3,029,427,049 | [pytorch][triton] flex attention fwd kernel with TMA loads (#151923) | mandroid6 | open | [
"fb-exported",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Summary:
Device side TMA for flex_attention fwd kernel, Q K V tensors
Test Plan:
Unit test:
```
buck test 'fbcode//mode/opt' fbcode//caffe2/test/inductor:flex_attention -- test_tma_with_customer_kernel_options
```
https://www.internalfb.com/intern/testinfra/testrun/14355223891618726
Differential Revision: D71082691
... | true |
3,029,420,061 | [IR] Input Adapter refactor prototype | felixsu2006 | open | [
"fb-exported",
"release notes: export"
] | 3 | CONTRIBUTOR | Summary:
1. Adding `input` field to `_adapt_flat_args` function
2. In `process_forward_inputs`, `reorder_kwargs` will now do nothing if no kwargs are provided (previously would error)
3. Pass `args` as input to `_adapt_flat_args`
These changes are made to update the InputAdapter
see more context in D72341439
Test P... | true |
3,029,407,184 | fix: Update padding_mode to use Literal for type checking | sujeet4010 | open | [
"triaged",
"open source",
"topic: not user facing"
] | 2 | NONE | Fixes #152280 | true |
3,029,388,614 | [inductor] Fix usage of launch_enter_hook/launch_exit_hook | danzimm | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 5 | CONTRIBUTOR | In https://github.com/triton-lang/triton/pull/6467 I moved where `launch_enter_hook`/`launch_exit_hook` are specified (from the kernel class to a config). This PR updates the usages to use the config module if it exists to support tip of main triton.
In https://github.com/triton-lang/triton/pull/6641 I renamed `trit... | true |
3,029,280,080 | Fix XLA issue. | laithsakka | closed | [
"release notes: jit",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152456
* #152455
| true |
3,029,279,968 | [export] add runtime assert messages to python torch checks (#150719) | laithsakka | open | [
"release notes: fx",
"fx",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152456
* __->__ #152455
Summary:
~fixes https://github.com/pytorch/pytorch/issues/150063 (for python at least)
Before:
```
Runtime assertion failed for expression Eq(Mod(s16*s35, s35 - 1), 0) on node 'eq'
```
Now:
```
RuntimeError: Runtim... | true |
3,029,254,320 | Decorate `test_host_memory_stats` with `@serialTest` | eqy | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | COLLABORATOR | Seems to need it as it is expecting only its allocation behavior to be visible, to address #152422 | true |
3,029,244,351 | Add epoch to fake tensor cache key | tugsbayasgalan | open | [
"fb-exported",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 20 | CONTRIBUTOR | Summary: This is especially necessary when the output of an op is unbacked symbol. In those cases,we need to regenerate new unbacked val and bind it to the old unbacked symbol via rebind_unbacked_symbol in downstream use.
Test Plan: CI
Differential Revision: D73869239
| true |
3,029,244,113 | Implement async manifold cache write | oulgen | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Summary: This diff implements an AsyncManifoldCache class that performs cache write and update ttl operations in an async manner. Essentially we are ok with the fire and forget approach where we dont guarantee that we can observe our writes, this gives us better runtime latency.
Test Plan: added new unit test
Reviewe... | true |
3,029,234,271 | [dynamo] `torch.compile` prevents fsdp warning from getting generated | StrongerXi | open | [
"oncall: distributed",
"triaged",
"oncall: pt2"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
Repro:
```
PYTORCH_TEST_WITH_DYNAMO=1 python test/distributed/fsdp/test_wrap.py TestAutoWrap.test_frozen_params
```
### Error logs
```
Traceback (most recent call last):
File "/home/ryanguo99/repos/pytorch/torch/testing/_internal/common_utils.py", line 3154, in wrapper
method(*args, **k... | true |
3,029,230,610 | [PT2] Port replace_lce_with_matmul / replace_first_lce_with_fused_matmul_lce to PT2 pre_grad passes | kqfu | open | [
"fb-exported",
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 12 | CONTRIBUTOR | Summary:
Port over replace_lce_with_matmul and replace_first_lce_with_fused_matmul_lce to PT2 pre_grad pass.
Original dper pass diffs: D67884534, D68123479, D68384238
Test Plan:
Test 1. Covers replace_lce_with_matmul and case 1 of replace_first_lce_with_fused_matmul_lce
```
CUDA_VISIBLE_DEVICES=6 TORCH_LOGS=+inductor,... | true |
3,029,230,160 | Add new profiling events to `DebugAutotuner` | exclamaforte | open | [
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | This PR adds support for more granular profiling events in DebugAutotuner. These profiling events are already present in CachingAutotuner, and their lack in DebugAutotuner breaks #149697 when `config.profile_bandwidth` is set.
Also fixes an outstanding bug, where attempting to use the profiler to benchmark in DebugA... | true |
3,029,225,969 | add device generalisation support for distributed tests | harikodali | closed | [
"oncall: distributed",
"open source",
"topic: not user facing"
] | 1 | NONE | test/distributed/optim/test_zero_redundancy_optimizer.py
test/distributed/test_c10d_logger.py
test/distributed/test_compute_comm_reordering.py
are modified for device generic support
device info is retrieved and used for tests, via get_devtype() from torch.testing._internal.common_fsdp
DistributedTestBase is use... | true |
3,029,220,449 | [dynamo] guard code generation triggers attribute error on DeviceMesh object | StrongerXi | open | [
"triaged",
"oncall: pt2",
"module: dynamo"
] | 2 | CONTRIBUTOR | ### 🐛 Describe the bug
Repro:
```
PYTORCH_TEST_WITH_INDUCTOR=1 python test/distributed/tensor/debug/test_comm_mode.py TestCommMode.test_comm_mode_with_dtensor
```
### Error logs
```
Traceback (most recent call last):
File "/home/ryanguo99/repos/pytorch/torch/testing/_internal/common_utils.py", line 3154, in wrapp... | true |
3,029,200,397 | [TorchDynamo] Fix failure to realize LazyVariableTracker on stack | Lucaskabela | closed | [
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Fixes a bug with install and inline for dynamo where lazy variable tracker was not realized before creating the `FakeRootModule` on [L1129](https://github.com/pytorch/pytorch/blob/a3123dd3ab936a59dc3219dd77785b71c9147019/torch/_dynamo/output_graph.py#L1129) in output_graph.py
As a result, when we try to access the g... | true |
3,029,188,296 | Use Literal for padding_mode in Conv2d for better type checking | sudiptap | closed | [
"oncall: distributed",
"module: cpu",
"open source",
"release notes: quantization",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"release notes: distributed (checkpoint)",
"release notes: inductor (aoti)"
] | 6 | NONE | Fixes #152280 — use Literal for padding_mode to improve type checking.
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @jerryzh168 @voznesenskym @penguinwu @EikanWang @Guobing-Chen @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy... | true |
3,029,183,923 | Log aot and idx waitcounters. | jovianjaison | closed | [
"fb-exported",
"Merged",
"Reverted",
"ciflow/trunk",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"release notes: AO frontend",
"ci-no-td"
] | 33 | CONTRIBUTOR | Summary:
Added for create_aot_dispatcher_function and compile_fx_inner.
Note:
Log wait counters flag is already set for:
1. async_compile.precompile
2. remote_fx_graph_cache_get
3. remote_fx_graph_cache_put
Test Plan: contbuild
Differential Revision: D73866124
cc @voznesenskym @penguinwu @EikanW... | true |
3,029,167,566 | [MPS][BE] Delete unused lerp functors | malfet | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"release notes: mps",
"ciflow/mps",
"ci-no-td"
] | 10 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152504
* #152485
* #152479
* #152466
* __->__ #152443
For `lerp.Scalar_out` weight (aka alpha) is not an optional argument, so no point in having those specializations.
But move `alpha=1.0` ahead of dispatching to Metal shaders, as plain ... | true |
3,029,160,787 | `torch.compile` causes assertion error in distributed checkpoint wrapper test | StrongerXi | open | [
"oncall: distributed",
"triaged",
"oncall: pt2"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
Repro:
```
PYTORCH_TEST_WITH_INDUCTOR=1 python test/distributed/fsdp/test_checkpoint_wrapper.py CheckpointWrapperTest.test_checkpoint_wrapper_args_kwargs
```
### Error logs
```
Traceback (most recent call last):
File "/home/ryanguo99/.conda/envs/comfyui/lib/python3.11/unittest/case.py", lin... | true |
3,029,140,184 | Inductor pattern matching on mutable ops | yf225 | open | [
"triaged",
"module: functionalization",
"oncall: pt2",
"module: inductor",
"module: pt2-dispatcher"
] | 0 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
Pattern matching on mutable ops (e.g. to replace it with custom kernels) is a common usage that shows up in libraries such as vLLM. We'd like to improve Inductor pattern matcher's support for it.
This is one use case where both `x` and `out` are non-view tensors:
```python
imp... | true |
3,029,077,321 | Add two missing JIT tests to CMake | swolchok | closed | [
"oncall: jit",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152440
Looks like I forgot to add these.
cc @EikanWang @jgong5 @wenzhe-nrv @sanchitintel | true |
3,029,071,561 | Newly added lint-urls jobs are very flaky | malfet | open | [
"module: ci",
"triaged",
"module: flaky-tests",
"module: regression"
] | 10 | CONTRIBUTOR | ### 🐛 Describe the bug
May be it's just me, but newly added lint jobs keeps intermittently failing on PRs/trunk, for example
https://github.com/pytorch/pytorch/actions/runs/14737078933/job/41365789268
### Versions
CI
cc @seemethere @pytorch/pytorch-dev-infra @clee2000 | true |
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