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 |
|---|---|---|---|---|---|---|---|---|
2,957,354,440 | [c10d][fr] Allow multiple writer registration with warnings | fduwjj | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 10 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #150232
The life span of writer is actually the whole program which is sub-optimal but it is a practical compromise so that the registration of writer can happen outside PG creation.
So we decide to allow multiple writer registrat... | true |
2,957,346,701 | support backed_size_oblivious in guard_or_false/guard_or_true | laithsakka | closed | [
"Merged",
"ciflow/trunk",
"release notes: fx",
"fx",
"ciflow/inductor"
] | 9 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #150231
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,957,340,640 | gloo: use shared Stores | d4l3k | closed | [
"oncall: distributed",
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 10 | MEMBER | Summary:
X-link: https://github.com/facebookincubator/gloo/pull/423
This modifies `connectFullMesh` to take in a shared_ptr<IStore> instead of a reference. This is an API breaking change but fairly easy to work around.
To have backwards compatibility in PyTorch during the commit phase we add a new ifdef `GLOO_SHARED_... | true |
2,957,289,357 | Refactor fake tensor caching | angelayi | open | [
"triaged",
"oncall: pt2",
"module: dynamo"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
After rebasing #149298, my test case was failing at [this part of the code](https://github.com/pytorch/pytorch/blob/d5a8bd068821ca0cd036400c13a561452d391b15/torch/_subclasses/fake_tensor.py#L1519-L1527) where torch._check/torch._check_is_size is being passed to `validate_cache_key`.
I chatted ... | true |
2,957,267,268 | Move MacOS inductor tests to M2-15 runner | malfet | closed | [
"Merged",
"Reverted",
"topic: not user facing",
"ci-no-td"
] | 8 | CONTRIBUTOR | To get more representative results (and be able to run more tests eventually)
Also get pull_request for workflow dispatch if yml file is modified | true |
2,957,266,580 | [ROCm] use correct workspace for hipblaslt, silence warning | ethanwee1 | open | [
"module: rocm",
"open source",
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"rocm",
"ci-no-td"
] | 15 | CONTRIBUTOR | Follow up to #145130. That PR caused a warning on ROCm the first time hipblaslt was called for any workload, always.
Fixes #ISSUE_NUMBER
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,957,256,887 | [CI] Use system nccl in build | clee2000 | closed | [
"Merged",
"release notes: releng",
"topic: not user facing"
] | 5 | CONTRIBUTOR | Install nccl in the docker image (which is already being done in some docker images), and use USE_SYSTEM_NCCL=1 in CI builds
It takes some time to build nccl and doesn't happen in parallel, so theres less benefit in switching to a bigger runner and using more processes
The other changes in this PR are because the... | true |
2,957,232,856 | [inductor] skip non-trivial tiling if unbacked symints are present | ColinPeppler | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Take two of https://github.com/pytorch/pytorch/pull/149994.
This time we just skip `convert_tiling_to_3d` and `candidate_tilings` if there exists unbacked symints.
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #150225
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guo... | true |
2,957,226,937 | CVE-2024-7804 still present in versions greater than 2.3.1 | HammySession | closed | [
"oncall: distributed",
"triaged",
"security"
] | 3 | NONE | ### 🐛 Describe the bug
[CVE-2024-7804](https://nvd.nist.gov/vuln/detail/CVE-2024-7804) was published on 03/20/2025, the Proof of Concept for the vulnerability is at [Huntr](https://huntr.com/bounties/0e870eeb-f924-4054-8fac-d926b1fb7259).
The vulnerability in question is due to de-serialization at [Internal.py](http... | true |
2,957,200,705 | Pin cmake to 3.31.2 for windows conda install | pytorchbot | closed | [
"open source"
] | 1 | COLLABORATOR | Trying to fix nightly failures
Cmake 4.0 update https://pypi.org/project/cmake/4.0.0/ broke nightly builds
You can see it here: https://hud.pytorch.org/hud/pytorch/pytorch/main/1?per_page=50&name_filter=cuda11_8-build
and here: https://hud.pytorch.org/hud/pytorch/pytorch/nightly/1?per_page=50&name_filter=
This fix... | true |
2,957,177,647 | [dynamic shapes] allow duck typing for 0/1 | pianpwk | closed | [
"Merged",
"ciflow/trunk",
"release notes: fx",
"fx",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Fixes #150184
e.g. for config.backed_size_oblivious=True and compile
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv @voznesenskym @penguinwu @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,957,166,983 | [ROCm][CI] Increase wheel build timeout from 210 to 240 | ethanwee1 | closed | [
"module: rocm",
"open source",
"Merged",
"ciflow/binaries",
"ciflow/trunk",
"topic: not user facing",
"ciflow/nightly"
] | 5 | CONTRIBUTOR | Fixes #150046. Increasing the timeout from 210 to 240.
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,957,157,740 | [CI] Fix docker builds failing due to cmake update by setting CMAKE_POLICY_VERSION_MINIMUM | clee2000 | closed | [
"Merged",
"Reverted",
"topic: not user facing",
"ci-no-td"
] | 11 | CONTRIBUTOR | Set the CMAKE_POLICY_VERSION_MINIMUM env var to make executorch and halide docker builds pass (they install from those repos which don't have cmake pinned)
This can be removed if executorch and halide update their builds and we update the hash? | true |
2,957,075,619 | Move dump location to avoid dumping twice | yushangdi | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Summary:
If we put the dumping code in codegen, we might get a separate node_mapping dump for the constant folded graph (https://github.com/pytorch/pytorch/blob/main/torch/_inductor/compile_fx.py#L1119).
We move it into compile_fx.py so there's only one node_mapping dump.
Test Plan: CI
Reviewed By: YUNQIUGUO
Differ... | true |
2,957,028,151 | [DLPack] Add support for missing keyword-arguments. | ysiraichi | open | [
"open source",
"module: dlpack",
"release notes: python_frontend"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150691
* __->__ #150218
* #150217
* #150216
* #145000
This PR introduces the rest of the keyword-arguments added in DLPack
version 2023.12: `dl_device` and `copy`.
In summary, we handle these arguments in the C++ implementation of
`to_dlpa... | true |
2,957,028,030 | Fix DLPack stream logic. | ysiraichi | open | [
"open source",
"module: dlpack",
"topic: not user facing"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150691
* #150218
* __->__ #150217
* #150216
* #145000
This PR fixes the logic for dealing with CUDA and ROCm streams whenever
we are trying to create a DLPack capsule from a tensor.
In summary, this PR:
- Uses the legacy default stream if... | true |
2,957,027,921 | [DLPack] add NumPy exchange tests. | ysiraichi | open | [
"open source",
"module: dlpack",
"topic: not user facing"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150691
* #150218
* #150217
* __->__ #150216
* #145000
This PR resolves an old TODO that requested NumPy DLPack exchange tests
once version 1.22 was required. | true |
2,957,026,565 | TCPStoreLibUvBackend: support masterListenFd | d4l3k | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 4 | MEMBER | This supports `masterListenFd` which is required for full compatibility with the non-libuv TCPStore. The code was just missing a `uv_listen` call and now it works just fine.
This is required to migrate the last remaining uses of TCPStore off of the non-libuv backend.
Test plan:
```
pytest -v test/distributed/te... | true |
2,957,020,339 | Explicitly state that a test-infra branch cut is required | ZainRizvi | closed | [
"Merged",
"topic: not user facing"
] | 5 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #150214
* #150213
* #150211
* #150210
| true |
2,957,001,746 | Update reference for binary_build workflows | ZainRizvi | closed | [
"Merged",
"topic: not user facing"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150214
* __->__ #150213
* #150211
* #150210
There hasn't been a circleci for a looooong time | true |
2,956,990,693 | [ROCm] change preferred blas lib defaults | naromero77amd | closed | [
"module: rocm",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/rocm"
] | 10 | COLLABORATOR | Fixes #148883
Fixes #150155
Also adds at::BlasBackend:Default. Instinct cards prefer hipBLASLt, everything else prefers rocBLAS.
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang | true |
2,956,964,838 | Update referenced PRs for ecosystem library branch cut | ZainRizvi | closed | [
"Merged",
"topic: not user facing"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150214
* #150213
* __->__ #150211
* #150210
The old PRs had a lot of extra changes in them which are no longer needed | true |
2,956,955,892 | Mention the cherry-picker bot in the release docs | ZainRizvi | closed | [
"Merged",
"topic: not user facing"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150214
* #150213
* #150211
* __->__ #150210
| true |
2,956,922,136 | [dynamo][hooks] use wrap_top_frame config for functions | yf225 | closed | [
"Merged",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | When torch.compile is applied to a module via `mod.compile(...)`, it's equivalent to `torch.compile(mod._call_impl)` which takes a different path than `OptimizedModule`. This PR ensures that the `wrap_top_frame` config can also take effect for the `torch.compile(mod._call_impl)` use case.
Stack from [ghstack](https:... | true |
2,956,920,684 | DISABLED test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float32 (__main__.TestForeachCUDA) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"module: mta"
] | 6 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float32&suite=TestForeachCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/39596379608... | true |
2,956,903,831 | Missing decomp for ops.aten.linalg_vector_norm | guangy10 | closed | [
"triaged",
"module: linear algebra",
"module: decompositions"
] | 13 | CONTRIBUTOR | ### 🐛 Describe the bug
This ops is heavily used in many vision transformers models ([convnextv2](https://github.com/huggingface/optimum-executorch/actions/runs/14098303415/job/39489765027?pr=41), [swiftformer](https://github.com/huggingface/optimum-executorch/actions/runs/14098303415/job/39489784457?pr=41), [swinv2](... | true |
2,956,880,543 | [ONNX] remove_assertion_nodes before decomp | justinchuby | closed | [
"open source",
"release notes: onnx"
] | 2 | COLLABORATOR | Call remove_assertion_nodes before decomp because we see errors like `<class 'TypeError'>: cannot determine truth value of RelationalWhile executing %_assert_scalar_default : [num_users=0] = call_function[target=torch.ops.aten._assert_scalar.default](args = (%ge_2 Runtime assertion failed for expression u4 >= 0 on node... | true |
2,956,868,395 | Fix documentation build errors caused by unsupported section titles | dscamiss | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 7 | CONTRIBUTOR | Fixes #150134
Build with `make html` looks OK now:
```shell
reading sources... [100%] torch.compiler_get_started .. xpu
looking for now-outdated files... none found
pickling environment... done
checking consistency... done
preparing documents... done
writing output... [ 80%] generated/torch.nn.Softsign .. gen... | true |
2,956,841,018 | Add `Any` return annotation to `__getattr__` methods that return a union of types. | rchen152 | closed | [
"Merged",
"ciflow/trunk",
"release notes: python_frontend",
"topic: improvements",
"ciflow/inductor"
] | 12 | CONTRIBUTOR | Adds an `Any` return type annotation to `__getattr__` methods in `torch/_ops.py` that return a union of types. Attribute access returning a union of types can cause issues downstream because consumers would need to handle all of the possible types to make the type checker happy. This doesn't seem to matter today for my... | true |
2,956,840,732 | [Cmake] Make PyTorch buildable by CMake-4.x | malfet | closed | [
"module: cpu",
"Merged",
"release notes: quantization",
"release notes: build",
"topic: bug fixes",
"topic: build"
] | 8 | CONTRIBUTOR | By turning on compatibility mode for protobuf, nnpack, PSimd and FP16, ittapi, TensorPipe and Gloo
Update CMake requirements
Revert 0ece461ccafe5649d2d0f058ff5477765fd56499 and b0901d62ae2c2e909f91401eacebf3731df20cbe to test that it actually works
TODO:
- Update/get rid of those libraries
Fixes https://g... | true |
2,956,825,750 | [ONNX] Support float4 | justinchuby | open | [
"module: onnx",
"triaged"
] | 3 | COLLABORATOR | float4 support was added in https://github.com/pytorch/pytorch/pull/148791. We should add it to onnx exporter as well.
1. https://github.com/pytorch/pytorch/blob/35ff5084e6a5bbf7c897840943ee3ac846ffaaf1/torch/onnx/_internal/exporter/_core.py#L116
2. https://github.com/pytorch/pytorch/blob/35ff5084e6a5bbf7c897840943ee3... | true |
2,956,804,902 | [fix] pin cmake to 3.31.6 in build requirements | k223kim | open | [
"triaged",
"open source",
"topic: not user facing"
] | 2 | NONE | As per PR #150158 , I believe that the build requirements should be updated. | true |
2,956,755,011 | UNSTABLE s390 / linux-manylinux-2_28-py3-cpu-s390x / build | clee2000 | closed | [
"module: ci",
"triaged",
"module: POWER",
"unstable"
] | 4 | CONTRIBUTOR | > Please provide a brief reason on why you need to mark this job as unstable.
Failing on main branch: https://hud.pytorch.org/pytorch/pytorch/commit/d4da0e955e5a29942d631cddaf0fb7805bb27231#39568901452-box
AWS credentials have issues so sccache is failing?
```
2025-03-28T14:19:55.2818684Z ++ sccache --zero-stats
2025... | true |
2,956,754,046 | `asarray`: device does not propagate from input to output after `set_default_device` | crusaderky | open | [
"triaged",
"module: python array api",
"module: python frontend"
] | 9 | NONE | ### 🐛 Describe the bug
The documentation of `asarray` states:
> device ([torch.device](https://pytorch.org/docs/stable/tensor_attributes.html#torch.device), optional) – the device of the returned tensor. Default: None, **which causes the device of obj to be used**. Or, if obj is a Python sequence, the current defaul... | true |
2,956,683,316 | [export] Symint support (nonstrict, Dim.DYNAMIC) | angelayi | closed | [
"Merged",
"ciflow/trunk",
"module: dynamo",
"ciflow/inductor",
"release notes: export"
] | 8 | CONTRIBUTOR | Fixes https://github.com/pytorch/pytorch/issues/113682 only in the non-strict export case. Also we only support Dim.DYNAMIC/AUTO, not named-Dims
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,956,661,905 | [AOTI] Always use oss schema for ExternKernelNodes serialization | yiming0416 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"module: inductor",
"ciflow/inductor",
"release notes: export"
] | 15 | CONTRIBUTOR | Summary: Added a field `protocol` to `ExternKernelNodes` and all the lowering pass will always use the oss schema to serialize external kernel nodes from now on.
Test Plan: CI
Differential Revision: D72020444
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng ... | true |
2,956,661,873 | [reland] Support torchbind in OSS proxy executor | yushangdi | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"module: inductor",
"ciflow/inductor",
"release notes: export",
"ci-no-td"
] | 4 | CONTRIBUTOR | Summary:
The original Diff D69500038 is reverted due to a false alarm on trunk health.
Implement torchbind support in OSSProxyExecutor.
Exactly the same as the implementation in FbProxyExecutor.
D69693697 - fbProxyExecutor
D69887230 - fbProxyExecutor but for torchbind method
D70746626 - Support None output ... | true |
2,956,639,063 | Parallelize sort using libstdc++ parallel mode | annop-w | open | [
"module: cpu",
"triaged",
"open source",
"topic: not user facing"
] | 23 | CONTRIBUTOR | Fixes #149977, #149979, #150094.
Previously, #149505 used libstdc++ parallel mode by enabling `-D_GLIBCXX_PARALLEL`. However, mixing source files compiled with and without parallel mode can lead to undefined behavior (See https://gcc.gnu.org/onlinedocs/libstdc++/manual/parallel_mode_using.html) We switch to using th... | true |
2,956,581,466 | Smoke Test - disable pypi package validation for binaries that package cuda libs | atalman | closed | [
"Merged",
"ciflow/binaries",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Smoke Test - disable pypi package validation for binaries that package cuda libs. These binaries do not install packages via pypi.
Should Resolve this from `linux-binary-manywheel / manywheel-py3_11-cuda12_6-full-test / test`:
```
Traceback (most recent call last):
File "/pytorch/.ci/pytorch/smoke_test/smoke_tes... | true |
2,956,577,711 | Pin cmake==3.31.6 | pytorchbot | closed | [
"topic: not user facing"
] | 1 | COLLABORATOR | I'm not sure if this is the right think to do, but cmake 4.0.0 got released on pypi and our builds are failing with it
Example:
https://hud.pytorch.org/pytorch/pytorch/commit/aa70d62041c28fe35c416aa932b32ef0e4d5bc33#39555975425-box
I guess we have to go change all the cmake_minimum_required to >=3.5?
backward... | true |
2,956,522,492 | Update torch.compile issue template | eellison | closed | [
"Merged",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #150192
* #149947
| true |
2,956,505,021 | LibTorch for Windows on Arm as Arm64EC variant? | 1enn0 | closed | [
"module: windows",
"module: cpp",
"triaged",
"module: arm"
] | 3 | NONE | ### 🐛 Describe the bug
Hi, is there any plan to support building LibTorch for Windows on Arm as Arm64EC at some point in the future?
I have tried building it locally but have given up. It seems many dependencies do not support it, either (e.g. `XNNPACK`, `cpuinfo`, ...).
### Versions
`25309a17f0f293573f3e02f61b569... | true |
2,956,414,829 | auto_functionalize HOPs are cacheable, also we should check that we allow for manual overrides for cacheability | zou3519 | open | [
"triaged",
"compile-cache",
"vllm-compile"
] | 0 | CONTRIBUTOR | https://github.com/vllm-project/vllm/blob/3b00ff91380044fa409612401309b9cb6a82685f/vllm/compilation/compiler_interface.py#L255-L262
cc @oulgen @jamesjwu @masnesral | true |
2,956,389,005 | Update CPUAllocator.cpp | AhmedZekoCodes | closed | [
"open source"
] | 3 | NONE | Fixes #ISSUE_NUMBER
| true |
2,956,320,082 | [AOTI] Emit Triton kernels as comment | desertfire | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #150188
Summary: Emit the corresponding Triton kernel code as comment in each call_triton_ wrapper function, for easier debugging.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzh... | true |
2,956,298,627 | at::BlasBackend::Ck does not handle all ROCm BLAS gpus | trixirt | open | [
"high priority",
"module: rocm",
"triaged",
"module: regression"
] | 2 | NONE | ### 🐛 Describe the bug
The ck backend depends on composable_kernel, the set of GPU's it is known to work for is
https://github.com/ROCm/composable_kernel/blob/develop/CMakeLists.txt#L171
The generic blas backend depends on rocBLAS, the set of GPU's it is known to work for is
https://github.com/ROCm/rocBLAS/blob/deve... | true |
2,956,287,490 | `MaskedTensor` 10x slower than `Tensor` compared with `nn.functional.softmax` | famura | open | [
"module: performance",
"triaged",
"module: masked operators"
] | 1 | NONE | ## Context
I was reading the docs on the new `MasedTensor` feature and wanted to get some insight if it might be useful in our transformer-based model. Thus, I started with pushing a demo input though the `softmax` function: once with a mask where certain values are set to `-inf` (typical for the attention mask in tra... | true |
2,956,141,490 | Pin cmake to 3.31.2 for windows conda install | atalman | closed | [
"Merged",
"ciflow/binaries",
"topic: not user facing"
] | 5 | CONTRIBUTOR | Trying to fix nightly failures
Cmake 4.0 update https://pypi.org/project/cmake/4.0.0/ broke nightly builds
You can see it here: https://hud.pytorch.org/hud/pytorch/pytorch/main/1?per_page=50&name_filter=cuda11_8-build
and here: https://hud.pytorch.org/hud/pytorch/pytorch/nightly/1?per_page=50&name_filter=
This fix... | true |
2,956,073,437 | Backed size oblivious not working as expected | laithsakka | closed | [
"triaged",
"module: dynamic shapes"
] | 2 | CONTRIBUTOR | ```
with torch.fx.experimental._config.patch(backed_size_oblivious=True):
@torch.compile(dynamic=True, fullgraph=True)
def func3(a, b):
if guard_size_oblivious(a.size()[0]==1):
return b*10
else:
return b*20
... | true |
2,956,019,392 | `differentiable` leads an in-place error in `torch.optim.Adam()` and `torch.optim.AdamW()` | ILCSFNO | closed | [
"module: optimizer",
"triaged"
] | 2 | CONTRIBUTOR | ### 🐛 Describe the bug
The docs of [torch.optim.Adam()](https://pytorch.org/docs/stable/generated/torch.optim.Adam.html#torch.optim.Adam) and [torch.optim.AdamW()](https://pytorch.org/docs/stable/generated/torch.optim.AdamW.html#torch.optim.AdamW) show their shared description as below:
For `torch.optim.Adam()`:
ht... | true |
2,955,950,023 | New Sampler: DistributedWeightedRandomSampler | dani-capellan | open | [
"triaged",
"open source",
"release notes: dataloader"
] | 5 | NONE | ### Summary
This PR introduces `DistributedWeightedRandomSampler`, which combines the functionality of `WeightedRandomSampler `and `DistributedSampler`. This sampler enables weighted sampling across multiple distributed processes, ensuring each process receives a balanced subset of the weighted samples.
### Motivat... | true |
2,955,943,691 | `out` argument should in `no_grad` mode | ILCSFNO | closed | [
"module: docs",
"triaged",
"actionable",
"module: python frontend"
] | 6 | CONTRIBUTOR | ### 📚 The doc issue
Seen from #146676, below issue also needs attention on `out` argument.
This issue is found while testing `torch.add()` together with `torch.full()`, but funcs mentioned in #146676 also remain fixed the issue below.
The docs of `torch.full()`, `torch.add()`, `torch.sub()`, `torch.mul()` and `torc... | true |
2,955,901,556 | [ROCm][Windows] Fix torchvision build with ROCm 6.4 on windows | tvukovic-amd | closed | [
"module: rocm",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Since with HIP SDK 6.4 hipcc files and calls and restructured, the case for calling hipcc.exe is added in case of building torchvision with HIP SDK 6.4 on Windows
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,955,887,800 | Argument `pin_memory` works when cuda device in func `torch.empty_strided()` | ILCSFNO | closed | [
"module: docs",
"triaged",
"module: python frontend"
] | 2 | CONTRIBUTOR | ### 🐛 Describe the bug
The docs of [torch.empty_strided()](https://pytorch.org/docs/stable/generated/torch.empty_strided.html#torch-empty-strided) shows its description as below:
https://github.com/pytorch/pytorch/blob/d4da0e955e5a29942d631cddaf0fb7805bb27231/torch/_torch_docs.py#L12085
where pin_memory is defined ... | true |
2,955,876,272 | support guard or false/true in user code and add tests | laithsakka | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150231
* __->__ #150178
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,955,825,356 | Aborted (core dumped) | Cookiee235 | closed | [
"needs reproduction",
"module: crash",
"module: cpu",
"module: error checking",
"triaged",
"module: linear algebra"
] | 6 | CONTRIBUTOR | ### 🐛 Describe the bug
```python
import torch
class DeterministicModel(torch.nn.Module):
def __init__(self):
super().__init__()
self.linear = torch.nn.Linear(2, 2, bias=False)
with torch.no_grad():
self.linear.weight.copy_(torch.eye(2))
def forward(self, x):
bloc... | true |
2,955,720,716 | Optimize SVE embedding performance | annop-w | closed | [
"caffe2",
"triaged",
"open source",
"module: arm",
"Merged",
"ciflow/trunk",
"release notes: python_frontend",
"topic: performance",
"skip-pr-sanity-checks"
] | 23 | CONTRIBUTOR | Change loop unrolling strategy. Previously, the script only unrolls the inner loop over block_size when block size is multiple of vector length. This version instead unrolls the outer loop which reduces the number of load/store for accumulation into the output array and improves performance for cases when block size is... | true |
2,955,648,923 | Nightly Errors - 2025-03-28 - Windows | ozanMSFT | closed | [
"module: windows"
] | 1 | COLLABORATOR | ### 🐛 Describe the bug
Windows wheels are failing for `2025-03-28`:
https://github.com/pytorch/pytorch/actions/runs/14124155298/job/39569597736
---
Error:
```cmake
CMake Error at third_party/protobuf/cmake/CMakeLists.txt:2 (cmake_minimum_required):
Compatibility with CMake < 3.5 has been removed from CMake.
... | true |
2,955,567,782 | GCC14 internal compiler error on aarch64-linux | prusnak | closed | [
"module: build",
"triaged",
"module: arm"
] | 5 | NONE | ### 🐛 Describe the bug
when trying to compile torch-2.6.0 on aarch64-linux:
```
[2289/5466] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/Activation.cpp.DEFAULT.cpp.oLT.cpp.o
FAILED: caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/Activation.cpp.DEFAULT.cpp.o
/nix/store... | true |
2,955,556,732 | DISABLED test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16 (__main__.TestForeachCUDA) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"module: mta"
] | 6 | NONE | Platforms: linux, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16&suite=TestForeachCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/395... | true |
2,955,456,868 | Relax njt x njt to dense matmul reduction checks | JCBrouwer | open | [
"triaged",
"open source",
"module: nestedtensor"
] | 3 | NONE | Attempts to address [this comment](https://github.com/pytorch/pytorch/issues/145158#issuecomment-2712038919) from @jbschlosser.
The new forward matmul tests I added are passing except for the 'noncontig_holes' examples which are failing because they are not raising the expected torch._dynamo.exc.BackendCompilerFaile... | true |
2,955,438,849 | Add plot for `torch.nn.Threshold` and `torch.nn.GLU` | zeshengzong | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 7 | CONTRIBUTOR | Fixes #150170
## Changes
- Add plot for `torch.nn.Threshold` and `torch.nn.GLU`
- Add example output make them easier get result by users
## Test Result
![image](https://github.com/user-attachments/assets/ad4e6c84-... | true |
2,955,377,464 | `torch.nn.Threshold` and `torch.nn.GLU` missing plot | zeshengzong | closed | [
"module: docs",
"module: nn",
"triaged"
] | 0 | CONTRIBUTOR | ### 📚 The doc issue
[torch.nn.Threshold](https://pytorch.org/docs/stable/generated/torch.nn.Threshold.html#torch.nn.Threshold) and [torch.nn.GLU](https://pytorch.org/docs/stable/generated/torch.nn.GLU.html#torch.nn.GLU) not have plot in docs like other activate method.
### ReLU has plot
![Image](https://github.com/... | true |
2,955,370,420 | Fix CMake 4 version check | cyyever | closed | [
"triaged",
"open source",
"ciflow/trunk",
"topic: not user facing"
] | 6 | COLLABORATOR | Add CMAKE_POLICY_VERSION_MINIMUM to avoid CMake 4 error. | true |
2,955,278,775 | [ROCm] PyTorch slow on TTS | winstonma | open | [
"module: rocm",
"triaged"
] | 16 | NONE | ### 🐛 Describe the bug
I installed [Kokoro TTS](https://github.com/hexgrad/kokoro) and PyTorch onto my machine, running AMD 6800U with Radeon 680M.
```bash
# Installed PyTorch ROCm already
# Install Kokoro
pip install -q kokoro>=0.9.2 soundfile
apt-get -qq -y install espeak-ng > /dev/null 2>&1
# Run create a sampl... | true |
2,955,195,452 | PyTorch cmake configuration fails with CMake 4.0.0 | WangYutao1995 | closed | [
"module: build",
"triaged"
] | 5 | NONE | ### 🐛 Describe the bug
**Error message**
```
-- Found SYCL: (found version "20250200")
-- Building using own protobuf under third_party per request.
-- Use custom protobuf build.
CMake Error at third_party/protobuf/cmake/CMakeLists.txt:2 (cmake_minimum_required):
Compatibility with CMake < 3.5 has been removed ... | true |
2,955,151,835 | refresh expected results again racing changes landing while test is unstable | laithsakka | open | [
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #150166
The test went unstable and now I am playing a race to make it back stable !
diffs that are published while the test was unstable are landing, with out changing expected results.
<img width="512" alt="Screenshot 2025-03-27 ... | true |
2,955,138,481 | Inconsistency inference results between eager and inductor compiler. | Cookiee235 | closed | [
"high priority",
"triaged",
"module: correctness (silent)",
"oncall: pt2",
"module: inductor",
"oncall: cpu inductor"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
```python
import torch
class Model(torch.nn.Module):
def __init__(self):
super().__init__()
def forward(self, x):
x = torch.nn.functional.interpolate(x, size=(64, 64), mode='bilinear', align_corners=True)
x = torch.inverse(x)
return x
model = Model()
i... | true |
2,955,120,494 | [WIP][dynamic shapes] rewrite should_swap with guard_or_false | pianpwk | open | [
"release notes: export"
] | 1 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
| true |
2,955,077,155 | [AOTInductor] Add function for users to extract constants in container | muchulee8 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Summary: Add extract_constant_map that allows users to inspect the constants being used by AOTInductor
Test Plan:
`python test/inductor/test_aot_inductor.py -k extract_constants_map`
`LD_LIBRARY_PATH=/data/users/$USER/pytorch/build/lib /data/users/$USER/pytorch/build/bin/test_aoti_inference`
Differential Revision: D... | true |
2,955,062,644 | [c10d] Add `_allgather_base` , `reduce_scatter` , and `_reduce_scatter_base` into ProcessGroupMPI to enable FSDP with MPI backend | nariaki3551 | closed | [
"oncall: distributed",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 15 | CONTRIBUTOR | This PR implements _allgather_base, reduce_scatter, and _reduce_scatter_base in the MPI backend (ProcessGroupMPI), enabling support for Fully Sharded Data Parallel (FSDP) in environments that use MPI for distributed communication.
### Context
As noted in https://github.com/pytorch/pytorch/issues/85628, FSDP curre... | true |
2,954,935,218 | DISABLED test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_complex64 (__main__.TestForeachCUDA) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"module: mta"
] | 9 | NONE | Platforms: linux, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_complex64&suite=TestForeachCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/395... | true |
2,954,933,939 | [Release/2.7] Update torch-xpu-ops commit pin | xytintel | closed | [
"open source",
"topic: not user facing",
"ciflow/xpu",
"release notes: xpu"
] | 3 | CONTRIBUTOR | Update the torch-xpu-ops commit to [9ff76ec6e8038afd6f4e4ecb929ee9f4aad9f233](https://github.com/intel/torch-xpu-ops/commit/9ff76ec6e8038afd6f4e4ecb929ee9f4aad9f233), includes:
- Bugfix of performance issue relating to GRF configuration.
| true |
2,954,928,562 | build 2.0.1 failed | wanggei | closed | [] | 2 | NONE | ### 🐛 Describe the bug
General:
-- CMake version : 3.29.0
-- CMake command : /usr/local/bin/cmake
-- System : Linux
-- C++ compiler : /usr/bin/c++
-- C++ compiler id : GNU
-- C++ compiler version : 14.2.0
-- Using ccache if found : ON
-- Found ccache ... | true |
2,954,925,467 | Pin cmake==3.31.6 | clee2000 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 11 | CONTRIBUTOR | I'm not sure if this is the right think to do, but cmake 4.0.0 got released on pypi and our builds are failing with it
Example:
https://hud.pytorch.org/pytorch/pytorch/commit/aa70d62041c28fe35c416aa932b32ef0e4d5bc33#39555975425-box
I guess we have to go change all the cmake_minimum_required to >=3.5?
backward... | true |
2,954,922,755 | [MPS] Fix dot/mm for conj_tensors | malfet | closed | [
"Merged",
"topic: bug fixes",
"release notes: mps",
"ciflow/mps"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #150157
- Distinguish between conjugated/non_conjugated inputs by appending conjugation to the operator key
- For matmul or dot, add `conjugateWithTensor:name:` calls before running the op
- Enable testing for conjugated ops by p... | true |
2,954,916,290 | Fix docs format error in `torch.nn` | zeshengzong | closed | [
"open source",
"Merged",
"ciflow/trunk",
"release notes: nn",
"topic: bug fixes",
"topic: docs"
] | 7 | CONTRIBUTOR | Fixes #150152
Fix format error in [torch.nn.CosineSimilarity](https://pytorch.org/docs/stable/generated/torch.nn.CosineSimilarity.html#torch.nn.CosineSimilarity), [torch.nn.KLDivLoss](https://pytorch.org/docs/stable/generated/torch.nn.KLDivLoss.html#torch.nn.KLDivLoss) and other pages.
## Test Result
### Befor... | true |
2,954,908,533 | Performance regression in aten::mm on gfx1100 (7900 XTX) with PyTorch 2.7 | timpalpant | closed | [
"high priority",
"triage review",
"needs reproduction",
"module: performance",
"module: rocm"
] | 1 | NONE | ### 🐛 Describe the bug
With PyTorch 2.7 I observed a ~40% performance regression in my training loop on AMD RX 7900 XTX (gfx1100). Profiling suggested `aten::mm` and `aten::bmm`. I believe it may be due to enabling `hipblaslt` for this card in https://github.com/pytorch/pytorch/commit/da578495cac53708db456114f011cb5b... | true |
2,954,869,445 | xpu: update filter out of dg2 AOT target | pytorchbot | open | [
"open source"
] | 1 | COLLABORATOR | torch-xpu-ops has updated list of AOT targets to use and used `dg2` instead of `dg2-g10`. This requires an update in cpp_extension.py which currently filters out `dg2-` prefixed AOT targets.
CC: @gujinghui @EikanWang @fengyuan14 @guangyey @jgong5 | true |
2,954,849,410 | enable out variant of 2-shot reduction | ngimel | closed | [
"oncall: distributed",
"Merged",
"Reverted",
"ciflow/trunk",
"release notes: distributed (c10d)",
"ci-no-td"
] | 12 | COLLABORATOR | Per title, this version uses symm mem input both as input source and as a work buffer, so input is modified after the end (similar to what fbgemm car reduction does). It is intended to be wrapped in an op that would first copy the real inputs to symm mem buffers that wouldn't be exposed.
cc @H-Huang @awgu @kwen2501... | true |
2,954,834,023 | Format error in `torch.nn` pages | zeshengzong | closed | [
"module: docs",
"triaged",
"actionable",
"module: python frontend"
] | 0 | CONTRIBUTOR | ### 📚 The doc issue
Page render error of `Input2`, `Example` section of [torch.nn.CosineSimilarity](https://pytorch.org/docs/stable/generated/torch.nn.CosineSimilarity.html#torch.nn.CosineSimilarity) and [torch.nn.KLDivLoss](https://pytorch.org/docs/stable/generated/torch.nn.KLDivLoss.html#torch.nn.KLDivLoss)
### to... | true |
2,954,831,357 | Ensure cuda_dlink_post_cflags are quoted as well | saagarjha | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 11 | CONTRIBUTOR | null | true |
2,954,823,351 | Add RECORD_FUNCTION for AOTI | shiyang-weng | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor"
] | 9 | CONTRIBUTOR | Only add RECORD_FUNCTION for shim_fn now.
Next step need to add RECORD_FUNCTION for all the aoti_torch_* functions.
Fixes https://github.com/pytorch/pytorch/issues/148650
Some code gen by aoti
```c++
AtenTensorHandle buf1_handle;
AtenTensorHandle buf2_handle;
AtenTensorHandle buf3_handle;
At... | true |
2,954,750,019 | Build fails with cmake 4.0.0 | saagarjha | closed | [
"high priority",
"triage review",
"module: build",
"module: third_party"
] | 2 | CONTRIBUTOR | ### 🐛 Describe the bug
I did a fresh build of PyTorch this morning, then later this afternoon. Surprisingly, the second one failed. After debugging it seems like the issue is that cmake just released version 4.0.0, which breaks the build for PyTorch:
```
CMake Warning at cmake/public/cuda.cmake:140 (message):
Fail... | true |
2,954,694,894 | [dynamic shapes] C++ bindings for guard_or_false/true | pianpwk | closed | [
"Merged",
"ciflow/trunk",
"release notes: fx",
"fx",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | C++ version. Would like to add it in one place to prove it works, but couldn't find one that doesn't expose a chain of data-dependent changes... so just gonna put up the base implementation
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,954,670,701 | if blaslt fails, fall back to blas | jeffdaily | closed | [
"open source",
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"ciflow/rocm",
"ci-no-td"
] | 22 | COLLABORATOR | Fixes #150016.
This is implemented for both cublaslt and hipblaslt. gemm_and_bias on failure will fall back to unfused path. lt gemm on failure falls back to gemm even if gemm preference is set to lt.
| true |
2,954,662,367 | [DTensor] part 2 - fix strided sharding for uneven padding | wconstab | closed | [
"oncall: distributed",
"release notes: distributed (fsdp)",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150393
* __->__ #150146
* #148894
this builds on the previous PR and corrects the full_tensor
reconstruction to account for padding in the case of strided
sharding with uneven tensor shape and padding.
Example: (copied from _StridedShard.... | true |
2,954,650,602 | Dont exclude constant_pad_nd in prologue fusion | pytorchbot | closed | [
"open source",
"module: inductor",
"ciflow/inductor"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149947
Originally, I excluded constant_pad_nd from fusing to be conservative on compilation time. But, on benchmarking, you do occasionally get speedups by fusing it. Also includes a fix for making single, contiguous dep for prologu... | true |
2,954,597,897 | infer dynamic shapes through additional inputs | avikchaudhuri | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: export"
] | 9 | CONTRIBUTOR | Summary:
Instead of explicitly specifying dynamic shapes, it is possible to infer them from additional example inputs. Together with the example inputs provided to export, we can basically make any varying dim dynamic and keep any fixed dim static. This should be useful for prod scenarios that have access to tests and/... | true |
2,954,593,426 | cpp_wrapper: Miscellaneous fixups | benjaminglass1 | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 5 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #148773
* #144293
* __->__ #150143
1. Revisit preprocessing code in cpp_bulider.py, removing a hack that channels it through stdout.
2. Fix ops that return None.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @z... | true |
2,954,592,031 | [ROCm][TunableOp] Stricter unit tests for online and offline tuning | naromero77amd | closed | [
"module: rocm",
"open source",
"Merged",
"ciflow/trunk",
"release notes: linalg_frontend",
"topic: not user facing"
] | 16 | COLLABORATOR | Improvements to unit tests and warnings for unsupported cases in offline tuning. Here are more details:
- Previously we only compared the OpSig for the untuned vs. tuned entries. This was not strict enough so we now compare OpSig+ParamSig.
- The main offline and online UTs are now stricter to make sure we exercise th... | true |
2,954,472,653 | DISABLED test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_complex128 (__main__.TestForeachCUDA) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"module: mta"
] | 8 | NONE | Platforms: linux, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_complex128&suite=TestForeachCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/39... | true |
2,954,469,025 | FSDP2 issue with mp_policy, checkpoint() and float input | mori360 | open | [
"oncall: distributed",
"triaged",
"module: fsdp"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
https://github.com/pytorch/pytorch/pull/150139
This bug happens at when using FSDP2 setting mp_policy, with checkpoint(model, input) and input to be float input.
Here are the finding of root cause
FSDP1:
- _root_pre_forward
- _cast_forward_inputs(state.mixed_precision.param_dtype)
- _pr... | true |
2,954,453,368 | [issue][do not land] Add unit test to show composability issue between mp_policy and checkpoint() | mori360 | open | [
"oncall: distributed",
"topic: not user facing"
] | 1 | CONTRIBUTOR | cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,954,412,309 | [CI] Remove the xpu env source for linux binary validate | chuanqi129 | closed | [
"open source",
"Merged",
"ciflow/binaries",
"topic: not user facing"
] | 6 | COLLABORATOR | Due to we have enabled the xpu runtime pypi packages as dependencies directly
| true |
2,954,402,711 | Ignore meta ops in inductor | eellison | 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):
* __->__ #150137
Fix for https://github.com/pytorch/pytorch/issues/144607
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amja... | true |
2,954,401,930 | Ignore meta ops in inductor | eellison | closed | [
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* (to be filled)
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,954,384,434 | [TEST - st] | muchulee8 | closed | [
"fb-exported",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Differential Revision: D72000844
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @amjames @chauhang @aakhundov | true |
2,954,367,623 | Documentation build errors caused by unsupported section titles | dscamiss | closed | [] | 1 | CONTRIBUTOR | ### 📚 The doc issue
The docstring for `torch.nn.attention.flex_attention.BlockMask` has `numpy` style sections with unsupported titles "Basics" and "Details".
This causes documentation build errors, for example `make html` gives
```bash
reading sources... [100%] torch.compiler_get_started .. xpu
/home/dscamiss/pyt... | true |
2,954,348,585 | [fr] Added protection against missing stack frames in fr cont. | VieEeEw | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Summary: Previously we had D70358287, which didn't fully resolved the issue.
Test Plan:
# FR
`buck2 run @//mode/opt //caffe2/fb/flight_recorder:fr_trace -- --mast_job_id f710320638-TrainingApplication --mast_job_version 0 --mast_job_attempt 0 --bucket tlcm_log_blob --world_size 128 --dump_file_name_offset 0 --allow-in... | true |
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