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 |
|---|---|---|---|---|---|---|---|---|
2,936,020,314 | Symintify transpose_ | pytorchbot | closed | [
"open source"
] | 1 | COLLABORATOR | Fixes https://github.com/pytorch/pytorch/issues/148702 | true |
2,936,010,520 | [Intel GPU][PT2E] bugfix: use zero-point to decide conv src zp mask | pytorchbot | closed | [
"module: cpu",
"open source"
] | 1 | COLLABORATOR | # Motivation
The PR fix a bug that wrongly decides the zero-point mask setting. Specifically, it deems zero-point is always not zeros due to scale is used for judgement. Fortunately, the bug only affects the performance. The accuracy is not affected.
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest a... | true |
2,935,953,063 | [cherry-pick] Update ExecuTorch pin update (#149539) | mergennachin | closed | [
"release notes: releng",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Cherry-picking https://github.com/pytorch/pytorch/pull/149539
Fixes ExecuTorch CI in the release branch, so that subsequent cherry-picks into the release branch can test ExecuTorch CI successfully. https://hud.pytorch.org/hud/pytorch/pytorch/release%2F2.7/1?per_page=50&name_filter=executorch | true |
2,935,928,319 | [test] Turn on StaticCudaLauncher | jamesjwu | closed | [
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149629
* #149657
* #149054
Default flag to on (this lets me run benchmarks)
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @much... | true |
2,935,919,553 | DISABLED test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_True_cuda_int32 (__main__.TestForeachCUDA) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"module: mta"
] | 5 | NONE | Platforms: linux, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_True_cuda_int32&suite=TestForeachCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/... | true |
2,935,919,414 | DISABLED test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_True_cuda_int16 (__main__.TestForeachCUDA) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"module: mta"
] | 5 | NONE | Platforms: linux, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_True_cuda_int16&suite=TestForeachCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/... | true |
2,935,860,995 | `Segmentation Fault` in `torch.lstm_cell` | vwrewsge | open | [
"module: crash",
"module: rnn",
"triaged",
"bug",
"module: empty tensor",
"topic: fuzzer"
] | 3 | NONE | ### 🐛 Describe the bug
The following code snippet causes a `segmentation fault` when running torch.lstm_cell:
```
import torch
inp = torch.full((0, 8), 0, dtype=torch.float)
hx = torch.full((0, 9), 0, dtype=torch.float)
cx = torch.full((0, 9), 0, dtype=torch.float)
w_ih = torch.full((1, 8), 1.251e+12, dtype=torch.f... | true |
2,935,760,679 | Some `Improve Error Message` Bugs | vwrewsge | open | [
"module: cuda",
"module: error checking",
"triaged",
"better-engineering",
"actionable",
"module: fft"
] | 1 | NONE | ### 🐛 Describe the bug
# Bug 1
When calling `torch.fft.ihfft2` on the output of `torch.fft.rfft2`, the following error is raised:
```
RuntimeError: Expected self.is_floating_point() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)
```
To Re... | true |
2,935,750,567 | [cherry-pick] Modify cuda aarch64 install for cudnn and nccl. Cleanup aarch64 cuda 12.6 docker #149540 | atalman | closed | [
"topic: not user facing"
] | 1 | CONTRIBUTOR | Cherry-Pick of https://github.com/pytorch/pytorch/pull/149540 to release branch
| true |
2,935,703,015 | `Segmentation Fault` When Using `@torch.jit.script` with a list Attribute in a Scripted Class | vwrewsge | open | [
"oncall: jit",
"module: crash"
] | 1 | NONE | ### 🐛 Describe the bug
When using @torch.jit.script for TorchScript compilation, defining a scripted class (e.g., Ignored) where the __init__ method includes a dynamic Python structure like list causes a Segmentation fault at runtime.
Code:
```
import torch
import torch.nn as nn
@torch.jit.script
class Ignored(obje... | true |
2,935,495,265 | `Segmentation fault` in `torch.nn.utils.rnn.pad_packed_sequence` and `torch.nn.utils.rnn.unpack_sequence` | vwrewsge | open | [
"module: crash",
"module: error checking",
"triaged",
"module: empty tensor",
"topic: fuzzer"
] | 1 | NONE | ### 🐛 Describe the bug
Bug Code 1:
```
import torch
from torch.nn.utils.rnn import pad_packed_sequence, PackedSequence
empty_data = torch.randn(0, 5)
empty_batch_sizes = torch.tensor([], dtype=torch.int64)
empty_packed = PackedSequence(empty_data, empty_batch_sizes, None, None)
pad_packed_sequence(empty_packed, batc... | true |
2,935,359,390 | `torch.cuda.manual_seed` ignored | vwrewsge | open | [
"triaged",
"module: random",
"oncall: pt2"
] | 3 | NONE | ### 🐛 Describe the bug
When using torch.compile, torch.cuda.manual_seed/torch.cuda.manual_seed_all/torch.cuda.random.manual_seed do not seem to properly enforce reproducibility across multiple calls to a compiled function.
# torch.cuda.manual_seed
Code:
```python
import torch
import torch._inductor.config
torch._in... | true |
2,935,299,008 | `vmap` not working on `torch.range` | vwrewsge | open | [
"triaged",
"module: vmap",
"module: functorch"
] | 0 | NONE | ### 🐛 Describe the bug
Code:
```
import torch
from functools import partial
batch_range = torch.vmap(partial(torch.range, step=1))
start = torch.tensor([1., 2., 3.])
end = torch.tensor([25., 26., 27.])
batch_range(start, end)
```
Output:
```
RuntimeError: vmap: It looks like you're calling .item() on a Tensor. We... | true |
2,935,264,280 | Unexpected return type from `torch.split` under `@torch.jit.script` decorator | vwrewsge | open | [
"oncall: jit"
] | 0 | NONE | ### 🐛 Describe the bug
When using the torch.split function inside a TorchScript function (decorated with @torch.jit.script), the return type is unexpectedly a list, not a tuple. This deviates from the expected behavior where torch.split should return a tuple of tensors.
```
import torch
@torch.jit.script
def split_... | true |
2,935,141,692 | Optimize `torch.equal` description | zeshengzong | closed | [
"open source",
"Merged",
"ciflow/trunk",
"release notes: python_frontend"
] | 4 | CONTRIBUTOR | Fixes #149222
## Test Result
cc @zou3519
| true |
2,935,012,852 | Torch nightly `torch-2.8.0.dev20250320` breaks torchcodec | NicolasHug | closed | [
"module: custom-operators",
"bug",
"oncall: pt2",
"module: pt2-dispatcher"
] | 1 | MEMBER | (copy/pasting https://github.com/pytorch/torchcodec/issues/579):
The TorchCodec main branch is [green](https://github.com/pytorch/torchcodec/commit/ae19a7882752823e5cd9a8c580f01150dbc6e3ec) and relies on `torch-2.8.0.dev20250319` (yesterday's nightly).
New PRs on TorchCodec relying on ``torch-2.8.0.dev20250320`` (to... | true |
2,934,954,730 | intermittent toch.compiler failures when running gemma model | taoye9 | closed | [
"module: cpu",
"triaged",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | ### 🐛 Describe the bug
Hi, i'm trying to fix a intermittent torch.compiler failures with cpp wrapper when running gemma model and wonder if someone can help providing some clue for debug or get a minial reproducer? The error is not specific to arm but also reproducible on intel machines.
```TORCHINDUCTOR_CPP_WRAPPER... | true |
2,934,932,589 | [Inductor] Restrict block analysis to only match integer dims and strides | kundaMwiza | open | [
"triaged",
"open source",
"topic: not user facing",
"module: inductor"
] | 3 | CONTRIBUTOR | Restrict block analysis to only match dimension sizes and strides that are integers. E.g. `sympy` can match index expressions like `ModularIndexing(xindex, 4, 4)) + 4*(ModularIndexing(xindex, 32, 2))` with the candidate below that is invalid.
```python
match_expr = stride_mod0_*((xindex//(dim_mod1_*dim_mod2_*dim_m... | true |
2,934,928,625 | [Inductor] optimize the heuristics of parallel reduction | jiayisunx | closed | [
"open source",
"Merged",
"ciflow/trunk",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 4 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149614
Fix https://github.com/pytorch/pytorch/issues/148639.
Summary:
Optimize the heuristics of parallel reduction: When the number of steps of the first inner loop beyond the maximum parallel depth is much larger than the ... | true |
2,934,869,088 | Combine win and win-arm64 templates | iremyux | closed | [
"oncall: distributed",
"module: cpu",
"open source",
"ciflow/binaries",
"release notes: build",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"release notes: distributed (checkpoint)"
] | 2 | COLLABORATOR | Fixes #148776
| true |
2,934,862,722 | [Build] Compile failure with torch2.5+debian10+clang11 | kevint324 | open | [
"module: build",
"triaged"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
## environment:
torch version : 2.5
os version: debian10
compiler: clang11
## problem
build script:
```
export CC=clang-11
export CXX=clang++-11
export USE_CUDA=0
export BUILD_TEST=0
export CXXFLAGS="-Wno-unused-command-line-argument"
export GLIBCXX_USE_CXX11_ABI=1
python3 setup.py install
... | true |
2,934,651,750 | [Inductor] Remove triton dtype patch which has landed | shink | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor"
] | 11 | CONTRIBUTOR | As this [pr][0] has already landed, we should remove its patch.
Having [mentioned][1] this before, I am making this change now to avoid omissions.
[0]: https://github.com/triton-lang/triton/pull/3342
[1]: https://github.com/pytorch/pytorch/pull/147583/files#r1970440062
cc @voznesenskym @penguinwu @EikanWang @... | true |
2,934,541,461 | APL support in pytorch | meghaanaaa | closed | [
"module: build",
"module: windows",
"triaged",
"module: third_party",
"actionable",
"module: arm"
] | 6 | NONE | I was going through the pytorch source code and wanted to use APL for blas and lapack operation however in FindAPL.cmake there is a check for library in the binary directory
“FIND_PATH(APL_BIN_DIR NAMES armpl_lp64.dll libarmpl_lp64.a PATHS ${APL_BIN_SEARCH_PATHS})”
I have installed arm performance library using the be... | true |
2,934,477,976 | Batching Implementation for aten_nested_tensor_from_mask_left_aligned | itsd3 | open | [
"triaged",
"module: nestedtensor",
"module: vmap",
"module: functorch"
] | 1 | NONE | ### 🐛 Describe the bug
Hi all,
I am trying to apply jacfwd/jacrev on a torch.nn module that implements the transformer architecture. It uses vmap as per below
```
compute_batch_jacobian = torch.vmap(torch.func.jacrev(model, argnums=(0,1)), in_dims=(0, 0, 0))
out = compute_batch_jacobian(*params)
```
I am getting th... | true |
2,934,388,117 | Runtime Error when using Memory-efficient Attention with `attn_mask` | vinhtq115 | open | [
"module: nn",
"triaged",
"module: sdpa"
] | 0 | NONE | ### 🐛 Describe the bug
Code to produce error:
```
import torch
from torch.nn.attention import SDPBackend
from torch.nn.functional import scaled_dot_product_attention
q = torch.rand((16, 12, 1024, 64), device="cuda")
k = torch.rand((16, 12, 1024, 64), device="cuda")
v = torch.rand((16, 12, 1024, 64), device="cuda")
m... | true |
2,934,377,073 | Do not fetch NCCL when system NCCL is used | danieldk | closed | [
"open source",
"Merged",
"topic: not user facing"
] | 8 | CONTRIBUTOR | We are compiling PyTorch in a sandbox without networking. Unconditionally fetching breaks the build and is not needed when a system NCCL is used. | true |
2,934,323,051 | [AOTInductor] Fix skip cpp wrapper unit test | zoranzhao | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 5 | MEMBER | Summary: as title
Test Plan:
```
buck2 test 'fbcode//mode/opt' fbcode//deeplearning/aot_inductor/cpu/test:cpu_lowering_utils_test -- --exact 'deeplearning/aot_inductor/cpu/test:cpu_lowering_utils_test - test_cpu_lower_aoti_ep_called (deeplearning.aot_inductor.cpu.test.test_lowering_utils.CPULoweringTest)'
```
```
buck... | true |
2,934,307,587 | torch.onnx.export does not support nested tensor operations | xuantengh | open | [
"module: onnx",
"triaged"
] | 1 | NONE | ### 🚀 The feature, motivation and pitch
Currently, we cannot export models containing NT operations into ONNX in PyTorch:
```python
import torch
import torch.nn as nn
torch.cuda.init()
torch.set_default_device("cuda")
class ModuleWithNT(nn.Module):
def __init__(self):
super().__init__()
def forw... | true |
2,934,281,871 | DISABLED test_linear (__main__.TestLazyModules) | pytorch-bot[bot] | closed | [
"module: nn",
"triaged",
"module: flaky-tests",
"skipped"
] | 2 | NONE | Platforms: linux, rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_linear&suite=TestLazyModules&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/39077249396).
Over the past 3 hours, it has been determ... | true |
2,934,252,833 | [inductor] API for user-controlled fusion "escape-hatch" mechanism in inductor | SamGinzburg | open | [
"triaged",
"oncall: pt2",
"module: inductor"
] | 5 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
There have been several situations where torch.compile generated fusions are suboptimal. When this happens it can be difficult for users to get the desired degree of control over what gets fused.
It could be nice to have some way of specifying rules which make inductor fusion ... | true |
2,934,218,819 | [codemod][lowrisk] Remove unused exception parameter from caffe2/aten/src/ATen/native/TensorAdvancedIndexingUtils.h | r-barnes | open | [
"fb-exported",
"ciflow/trunk",
"topic: not user facing"
] | 2 | CONTRIBUTOR | Summary:
`-Wunused-exception-parameter` has identified an unused exception parameter. This diff removes it.
This:
```
try {
...
} catch (exception& e) {
// no use of e
}
```
should instead be written as
```
} catch (exception&) {
```
If the code compiles, this is safe to land.
Test Plan: Sandcastle
Reviewed... | true |
2,934,160,421 | [WIP] Generalize AllocatorConfig to be device-agnostic | guangyey | open | [
"open source",
"release notes: cpp",
"topic: improvements"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151298
* #138222
* #150312
* __->__ #149601
# Motivation
This PR aims to generalize `AllocatorConfig` to be device-agnostic. Initially, I considered two approaches:
1. Per-device `AllocatorConfig`, where each device inherits from a base ... | true |
2,934,149,622 | Fix ModularIndexing simplification | bobrenjc93 | closed | [
"module: cpu",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149600
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @voznesenskym @penguinwu @EikanWang @Guobing-Chen @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aa... | true |
2,934,117,565 | Newer conda versions require --update-deps to update dependencies such as libgcc-ng | jithunnair-amd | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | COLLABORATOR | * When we try to install [libstdcxx-ng 12.3.0 from conda-forge](https://github.com/pytorch/pytorch/blob/595293316d7e64e32d31716500beae58367409a2/.ci/docker/common/install_conda.sh#L65), conda 24.7.1 updates the dependencies of that package, including libgcc-ng package to the following: `libgcc-ng-14.2.0 | h69a702a_2 5... | true |
2,934,040,425 | [pt2_provenance_tracing] add combo kernel nodes post_grad nodes origin info | YUNQIUGUO | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 9 | CONTRIBUTOR | Summary: found it helpful when running prod model with combo_kernel feature enabled
Test Plan: CI
Differential Revision: D71513304
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhu... | true |
2,934,002,574 | fix missing field initializer warning | ngimel | closed | [
"Merged",
"ciflow/trunk",
"release notes: cuda"
] | 3 | COLLABORATOR | Per title
| true |
2,933,917,813 | [Inductor] Remove unnecessary initialization of self.available_buffer_names | FFFrog | closed | [
"open source",
"module: inductor",
"ciflow/inductor"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149596
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,933,866,010 | [Codemod][AddExplicitStrictExportForTrainingInferenceArg] caffe2/ | gmagogsfm | closed | [
"oncall: distributed",
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: quantization",
"topic: not user facing",
"fx",
"module: inductor",
"ciflow/inductor"
] | 16 | CONTRIBUTOR | internal diff: D71497480
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv @voznesenskym @penguinwu @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aa... | true |
2,933,834,604 | [PrivateUse1] Impl `isBuilt()` and `isAvailable()` | shink | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 11 | CONTRIBUTOR | Follow-up: #146098
cc: @albanD @FFFrog | true |
2,933,825,455 | [MPS/Inductor] Add support for modified_bessel_k0. | dcci | closed | [
"Merged",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 3 | MEMBER |
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,933,808,053 | wrap script in main() and fix string replacements | AshutoshDevpura | open | [
"triaged",
"open source",
"topic: not user facing"
] | 1 | NONE | - Encapsulate CSV processing logic in a main() function.
- Update string.replace() calls to correctly assign the result back to the variable.
- Use a clearer variable name for the commit hash.
| true |
2,933,787,811 | 'false INTERNAL ASSERT FAILED' when calling torch.pinverse and using torch.float32 on Apple Silicon | PlayerCham | closed | [
"triaged",
"module: macos",
"module: linear algebra",
"module: arm"
] | 1 | NONE | ### 🐛 Describe the bug
When running the torch.pinverse function, the ‘false INTERNAL ASSERT FAILED’ error only occurs when running on an Apple Silicon (mine is M3 Pro) device using torch.float32, and not when using torch.float64. When running on an X86_64 (mine is AMD Ryzen 9 5950X) device, the error does not occur w... | true |
2,933,763,870 | [export] min/max ranges for dim hints | pianpwk | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export"
] | 9 | CONTRIBUTOR | Differential Revision: D71522032
Adds min/max ranges to Dim.AUTO/DYNAMIC/STATIC, so users can do `Dim.AUTO(min=2, max=2048)`.
| true |
2,933,747,478 | Cleanup ctx manager state management | zeshengzong | closed | [
"triaged",
"open source",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo"
] | 7 | CONTRIBUTOR | Fixes #149572
## Changes
- Move logic in `ContextManagerState` to `ContextWrappingVariable`
- Remove `ContextManagerState`
## Test Result
```bash
pytest test/dynamo/test_ctx_manager.py
```
cc @voznesenskym... | true |
2,933,685,763 | Fix spelling (#149277) | seemethere | closed | [
"release notes: releng"
] | 1 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149588
Approved by: https://github.com/zou3519
Signed-off-by: Eli Uriegas <github@terriblecode.com> | true |
2,933,612,765 | add some extra test oom skips for jetson due to lacking nvml support | Fuzzkatt | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | COLLABORATOR | Add a couple of Jetson skips for oom tests in test/test_cuda.py due to failures in nvidia CI. Jetson not having full nvml support is a known issue so this is mostly a test side fix.
cc @eqy, @ptrblck, @nWEIdia | true |
2,933,561,177 | UserWarning: Dynamo does not know how to trace the builtin `None.pybind11_object.__new__.` | cora-codes | open | [
"triaged",
"oncall: pt2",
"module: dynamo",
"module: higher order operators",
"module: compiled autograd",
"module: pt2-dispatcher",
"module: flex attention"
] | 11 | NONE | ### 🐛 Describe the bug
I'm filing an issue since this is a Python built-in (granted the error message implies that it is not since it references PyBind11, but I'm opening an issue anyway since it is caused by using returning/using `None` in a compiled function).
### Versions
2.7.0a0+gitebd087e
cc @chauhang @pengui... | true |
2,933,539,249 | [executorch hash update] update the pinned executorch hash | pytorchupdatebot | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 9 | COLLABORATOR | This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned executorch hash. | true |
2,933,535,466 | Add triton as dependency to CUDA aarch64 build | atalman | closed | [
"Merged",
"ciflow/binaries",
"topic: not user facing"
] | 7 | CONTRIBUTOR | Aarch64 Triton build was added by: https://github.com/pytorch/pytorch/pull/148705
Hence add proper contrain to CUDA 12.8 Aarch64 build
Please note we want to still use:
```platform_system == 'Linux' and platform_machine == 'x86_64'```
For all other builds.
Since these are prototype binaries only used by cuda 1... | true |
2,933,525,914 | Easydict support | xmfan | open | [
"triaged",
"oncall: pt2",
"module: dynamo"
] | 3 | MEMBER | ### 🐛 Describe the bug
the library looks to be one file: https://github.com/makinacorpus/easydict/blob/master/easydict/__init__.py
From UED TRELLIS:
```python
import torch
from easydict import EasyDict
@torch.compile(backend="eager", fullgraph=True)
def fn():
d = EasyDict()
d.asd = "asd"
d.kvj = 123
... | true |
2,933,525,587 | DeepSeek-R1-Distill-Qwen-1.5B: torch.compile slower than AOTInductor | angelayi | open | [
"topic: performance",
"oncall: pt2",
"export-triaged",
"oncall: export",
"module: aotinductor"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
| First iteration time (s) | Average time over 30 calls (s)
-- | -- | --
Eager | 0.21249 | 0.021328
torch.compile (tlparse) | 25.765 | 6.1492, fastest: 0.009088
torch.compile with mark_dynamic (tlparse) | 63.959 | 4.6029 (one less recompilation), fastest: 0.008864
AOTI compiled artifact w/ d... | true |
2,933,507,788 | Fix clang-tidy errors | MatzeB | closed | [
"triaged",
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 13 | CONTRIBUTOR | Summary: Cleanup clang-tidy complaints in `EmbeddingBag.cpp`: Avoid shadowed variables and unused parameters.
Test Plan: sandcastle
Differential Revision: D71512594
| true |
2,933,477,926 | Capture fx-graph-cache-key in PyTorch trace | shengfukevin | open | [
"fb-exported",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 16 | CONTRIBUTOR | Summary:
Since PT2 compiler generated Triton kernels are generated on-fly, it is a black box for workload performance simulator from AI system Co-Design team. It is impossible to get the performance projection for these kernels.
The first step to get inside into Triton kernels is to get the source code. FX graph remot... | true |
2,933,472,096 | [torch/c10d] change class variable from private to protected (#149571) | GirasoleY | closed | [
"oncall: distributed",
"fb-exported",
"release notes: distributed (c10d)"
] | 3 | CONTRIBUTOR | Summary:
Change class variable from private to protected in ProcessGroupNCCL
Test Plan: Existing UT Pass.
Reviewed By: kingchc, kwen2501
Differential Revision: D71373067
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,933,471,889 | test/test_cuda.py: rework TEST_PYNVML logic to make more sense, add not IS_JETSON condition | Fuzzkatt | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | COLLABORATOR | PYNVML related tests in test/test_cuda.py are failing in nvidia internal CI for Jetson devices because Jetson devices don't fully support nvml (it exists as a stub library). In addition to skipping PYNVML tests for Jetson, this PR also reworks the TEST_PYNVML logic a bit to be more consistent with the rest of TEST_{som... | true |
2,933,462,159 | [CI] Fix log artifact not containing test logs? | clee2000 | closed | [
"Merged",
"release notes: releng",
"topic: not user facing"
] | 5 | CONTRIBUTOR | Sometimes I would find a log artifact that only has usage_logs.txt in it, even though there are other logs created by tests. I think this is somehow caused by output buffering with find. I don't understand how, but at the very least, I can see that all the jobs on this PR have the logs from the test runs
| true |
2,933,456,550 | Improve attr mismatch msg | tugsbayasgalan | closed | [
"Merged",
"ciflow/trunk",
"ciflow/inductor",
"release notes: AO frontend"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149576
Differential Revision: [D71513041](https://our.internmc.facebook.com/intern/diff/D71513041) | true |
2,933,455,951 | [Inductor] Fix combo_kernel logging error | YUNQIUGUO | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Summary:
Fix logging error like:
```
in combinable_nodes
log.debug(
Message: 'ComboKernels: %d template nodes are filtered'
Arguments: (OrderedSet([8]),)
--- Logging error ---
Traceback (most recent call last):
File "/usr/local/fbcode/platform010/lib/python3.10/logging/__init__.py", line 1100, in emit
msg = s... | true |
2,933,447,172 | [ued][gemma3] HF + torch.compile - torch.compile on Gemma3 | BoyuanFeng | open | [
"triaged",
"oncall: pt2",
"module: dynamo"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
I tried torch.compile on Gemma3 and found a few issues.
`torch.compile(fullgraph=True)` gives the error:
```
torch._dynamo.exc.Unsupported: Observed exception
Explanation: Dynamo found no exception handler at the top-level compiled function when encountering an exception. Exception will pr... | true |
2,933,422,171 | Update gen_data.py | AshutoshDevpura | open | [
"triaged",
"open source",
"topic: not user facing"
] | 5 | NONE | Minor refactor: update file I/O, use main() function, and improve CSV writing
- Moved the code inside the `if True:` block into a dedicated `main()` function, and added the `if __name__ == "__main__": main()` guard.
- Updated file I/O to use pathlib and context managers for safer resource handling.
- Replaced manu... | true |
2,933,392,647 | Cleanup ctx manager state management | mlazos | closed | [
"good first issue",
"triaged",
"actionable",
"oncall: pt2",
"module: dynamo"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
Today in https://github.com/pytorch/pytorch/blob/bc86b6c55a4f7e07548a92fe7c9b52ad2c88af35/torch/_dynamo/variables/ctx_manager.py#L58
We keep an indirect state object to workaround the previous immutability requirement of VariableTrackers. Since they can now be mutated, we can store the cleanup... | true |
2,933,383,696 | [torch/c10d] change class variable from private to protected | GirasoleY | closed | [
"oncall: distributed",
"fb-exported",
"release notes: distributed (c10d)"
] | 4 | CONTRIBUTOR | Summary: Change class variable from private to protected in ProcessGroupNCCL
Test Plan: Existing UT Pass.
Reviewed By: kingchc, kwen2501
Differential Revision: D71373067
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,933,362,497 | [ued][kokoro] torch.compile fails in kokoro (both fullgraph=True and False) | yushangdi | open | [
"triaged",
"oncall: pt2",
"module: dynamic shapes",
"empathy-day"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
Repro:
```
conda create -y -n user-empathy python=3.11
conda activate user-empathy
pip install -q kokoro>=0.9.2 soundfile
pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu126
```
```
text = '''
PyTorch is an open-source machine learning l... | true |
2,933,361,819 | Please Ignore - Created for import only. | c00w | closed | [
"ciflow/trunk",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,933,354,192 | Remove unused import | c00w | closed | [
"module: inductor",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149568
* #149567
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,933,354,039 | IGNORE - Introduce new template heuristic for triton autotune configs | c00w | closed | [
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #149568
* __->__ #149567
| true |
2,933,347,982 | User-torch._dynamo.disable annotations may be misleading | zou3519 | open | [
"triaged",
"oncall: pt2",
"module: dynamo"
] | 0 | CONTRIBUTOR | 
A dynamo developer didn't decide to add this, I (as the user) did. There should be some logic to determine this.
cc @chauhang @penguinwu @voznesenskym @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-n... | true |
2,933,346,876 | Should (eventually) be recommending nonstrict_trace instead of allow_in_graph in error messages: | zou3519 | open | [
"triaged",
"oncall: pt2",
"module: dynamo"
] | 1 | CONTRIBUTOR | 
cc @chauhang @penguinwu @voznesenskym @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @amjames | true |
2,933,335,766 | fix dynamic float when dynamic=True | bobrenjc93 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor"
] | 13 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149564
Fixes https://github.com/pytorch/pytorch/issues/149406#issuecomment-2738111733. Basically previously we would only make floats dynamic via automatic dynamic, now if you set dynamic=True, we will make the floats dynamic on the... | true |
2,933,304,776 | [MPS] Add `modified_bessel_k0` support to eager. | dcci | closed | [
"Merged",
"topic: improvements",
"module: mps",
"release notes: mps",
"ciflow/mps"
] | 4 | MEMBER | cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen | true |
2,933,299,990 | avoid graph breaks on torch._C._nn._parse_to | ydwu4 | open | [
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149562
* #149561
* #149560
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,933,292,243 | Avoid graph break on torch.__future__.get_swap_module_params_on_conversion | ydwu4 | open | [
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #149562
* __->__ #149561
* #149560
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,933,292,145 | specialize SymNodeVariable when used as list index | ydwu4 | open | [
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #149562
* #149561
* __->__ #149560
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,933,289,406 | Improve handling for custom ops with no returns | bdhirsh | open | [
"triaged",
"module: custom-operators",
"oncall: pt2",
"module: pt2-dispatcher"
] | 4 | CONTRIBUTOR | during user empathy day I tried turning this function into a custom op, from torchdiffeq: https://github.com/rtqichen/torchdiffeq/blob/master/torchdiffeq/_impl/misc.py#L376
The experience was actually pretty smooth - add a one-liner API, and add some type annotations:
```
@torch.library.custom_op("torchdiffeq::check_t... | true |
2,933,279,269 | [test] trying to find a flaky test | clee2000 | closed | [
"topic: not user facing"
] | 1 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
| true |
2,933,271,857 | [BE] Eliminate TODO for 2022 | malfet | closed | [
"Merged",
"ciflow/trunk",
"release notes: cpp",
"topic: bc breaking"
] | 3 | CONTRIBUTOR | Need to think a bit more about what types.h includes
Fixes #ISSUE_NUMBER
| true |
2,933,259,446 | [ued][f5-tts][dynamo] dont graph break on `torch.jit.isinstance` | bdhirsh | open | [
"triaged",
"oncall: pt2",
"module: dynamo"
] | 1 | CONTRIBUTOR | It looks like this is a flavor of `isinstance()` that is meant to make torchscript happy. From user empathy day, it looks like `torchaudio` uses this API pretty heavily. We should probably just handle it in dynamo (by mapping it to builtin `isinstance`). Example: https://github.com/pytorch/audio/blob/main/src/torchaudi... | true |
2,933,180,802 | Fix NVTX functions compatibility with torch._dynamo | zsnoob | closed | [
"triaged",
"open source",
"release notes: cuda",
"module: dynamo",
"release notes: dynamo"
] | 4 | NONE | ## Problem Solved
This PR resolves the incompatibility between NVTX functions and torch._dynamo. When attempting to use NVTX profiling tools within code compiled with torch.compile(), the following error occurs:
```
torch._dynamo.exc.Unsupported: torch.* op returned non-Tensor int call_function <function range_p... | true |
2,933,113,911 | Unify nccl versions for x86 and aarch64 builds | atalman | closed | [
"module: binaries",
"module: ci",
"triaged",
"topic: binaries"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
Please see:
https://github.com/pytorch/pytorch/pull/149540
After landing of: https://github.com/pytorch/pytorch/pull/149351
CUDA aarch64 builds where broken, since nccl was defined in ``.ci/docker/common/install_cuda_aarch64.sh`` as well as in the matrix.
Consider removing the installation o... | true |
2,933,091,488 | [Inductor] Use real input to autotune user defined triton kernels | muchulee8 | 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):
* __->__ #149553
Summary:
User defined Triton kernel sometimes rely on real inputs to determine
the path of execution. We need real inputs to invoke the correct
behavior of the user defined triton kernels (see example in test case,
where ... | true |
2,933,081,462 | Fix nvtx incompatibility with dynamo | zsnoob | closed | [
"open source",
"release notes: cuda",
"module: dynamo",
"release notes: dynamo"
] | 7 | NONE | ## Problem Solved
This PR resolves the incompatibility between NVTX functions and torch._dynamo. When attempting to use NVTX profiling tools within code compiled with torch.compile(), the following error occurs:
```
torch._dynamo.exc.Unsupported: torch.* op returned non-Tensor int call_function <function range_p... | true |
2,933,067,814 | Remove PyTorch conda installation instructions from the documentation and tutorials | atalman | open | [
"module: docs",
"triaged",
"topic: docs"
] | 4 | CONTRIBUTOR | ### 🐛 Describe the bug
Please see: https://github.com/pytorch/pytorch/issues/138506
and https://dev-discuss.pytorch.org/t/pytorch-deprecation-of-conda-nightly-builds/2590
Pytorch have deprecated usage of conda builds for release 2.6. We need to remove mentioning of conda package installtion instructions from tutoria... | true |
2,933,054,264 | Remove pre-cxx11 from the documentation and tutorials | atalman | closed | [
"module: docs",
"triaged",
"topic: docs"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
Please see: https://github.com/pytorch/pytorch/issues/123649
and https://dev-discuss.pytorch.org/t/pytorch-linux-wheels-switching-to-new-wheel-build-platform-manylinux-2-28-on-november-12-2024/2581/2
Pytorch is using D_GLIBCXX_USE_CXX11_ABI=1 and Manylinux 2.28
Hence we should remove the usage... | true |
2,933,023,571 | [dynamo] support Python 3.13t | williamwen42 | closed | [
"Merged",
"ciflow/trunk",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 3 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149549
A few bug fixes to get Dynamo mostly working with 3.13 nogil. Dynamo encounters internal CPython assert errors in older versions of 3.13. The fix has been landed on [CPython's 3.13 branch](https://github.com/python/cpython/... | true |
2,932,987,662 | [ROCm] NLLLoss (torch.nll_loss) Performance Tuning by Dynamically Selecting # of GPU threads | apakbin | closed | [
"module: rocm",
"open source",
"Merged",
"ciflow/trunk",
"release notes: cuda",
"ciflow/rocm",
"ciflow/rocm-mi300"
] | 16 | CONTRIBUTOR | Instead of fixing the number of GPU threads to 32 regardless of input size, this PR dynamically selects the number of threads based on the formula: clamp(2^round(log2(dim0/16)), min = 32, max = 1024). The experiments below were done on an MI300 machine for data type float32:
![nll_loss_threads_bests](https://github.... | true |
2,932,978,573 | Remove `torch.nn` from `MOD_SKIPLIST` | guilhermeleobas | open | [
"open source",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149547
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,932,978,130 | [cherry-pick] nccl: upgrade to 2.26.2 to avoid hang on ncclCommAbort (#149351) | atalman | closed | [
"topic: not user facing",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | cherry-pick of nccl: upgrade to 2.26.2 to avoid hang on ncclCommAbort (#149351) to the release
Generated by: export RELEASE_VERSION_TAG=2.7 ./regenerate.sh | true |
2,932,968,713 | `torch.load(..., map_location="meta")` hangs indefinitely | Cyrilvallez | open | [
"module: serialization",
"triaged"
] | 0 | NONE | ### 🐛 Describe the bug
Hey! We have come around a checkpoint that cannot be loaded on meta device, but is no problem to load on cpu.
Here is a min repro:
```python
from transformers.utils.hub import cached_file
import torch
# This will download the checkpoint
file = cached_file("MrLight/dse-qwen2-2b-mrl-v1", "pytor... | true |
2,932,915,544 | [c10d][fr] Fix the start event get for a potential undefined behavior | fduwjj | closed | [
"oncall: distributed",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149544
When the enableTiming_ is not set, we directly set `ncclStartEvent_` inside each work item to nullptr. Then when sending to fr, ncclStartEvent_.get() could lead to undefined behavior, so we just make it safer.
cc @H-Huan... | true |
2,932,894,766 | Improve error message when view of intermediate is returned from autograd.Function and marked dirty | soulitzer | closed | [
"Merged",
"ciflow/trunk",
"release notes: autograd",
"topic: improvements"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149543
* #149220
Fixes https://github.com/pytorch/pytorch/issues/149252 | true |
2,932,840,110 | Fix a typo "trochrec" to "torchrec" | Microve | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 7 | CONTRIBUTOR | Summary: As titled, the path is incorrect due to the typo
Test Plan: CI
Differential Revision: D71490709
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,932,796,802 | Add `is_batchedtensor` to dynamo builder | 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):
* __->__ #149541
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,932,769,398 | Modify cuda aarch64 install for cudnn and nccl. Cleanup aarch64 cuda 12.6 docker | atalman | closed | [
"Merged",
"topic: not user facing"
] | 5 | CONTRIBUTOR | 1. Use NCCL_VERSION=v2.26.2-1 . Fixes nccl cuda aarch64 related failure we see here: https://github.com/pytorch/pytorch/actions/runs/13955856471/job/39066681549?pr=149443 . After landing: https://github.com/pytorch/pytorch/pull/149351
TODO: Followup required to unify NCCL definitions across the x86 and aarch64 builds... | true |
2,932,769,322 | Update ExecuTorch pin update | mergennachin | closed | [
"Merged",
"topic: not user facing",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Latest commit in https://hud.pytorch.org/hud/pytorch/executorch/viable%2Fstrict/1?per_page=50
Follow-up to https://github.com/pytorch/pytorch/issues/144480#issuecomment-2731150636
Also, need to incorporate change from https://github.com/pytorch/executorch/pull/8817
Test Plan:
Monitor linux-jammy-py3-clang... | true |
2,932,753,950 | Specify the default PyTorch Distributed backend for MPS | wangkuiyi | closed | [
"oncall: distributed",
"open source",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 7 | CONTRIBUTOR | Fixes #149537
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,932,751,851 | Need to specify default communication backend for MPS | wangkuiyi | closed | [
"oncall: distributed",
"module: mps"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
When I ran unit tests of TorchFT on my Mac Studio M2 Ultra ([steps](https://github.com/pytorch/torchft/issues/136#issuecomment-2734816067)), [this line](https://github.com/pytorch/torchft/blob/9d3834082012af8268202100fdcc16734f46b2cb/torchft/process_group_test.py#L675) in `test_device_mesh` tri... | true |
2,932,731,692 | [test] sccache docker build | clee2000 | open | [
"topic: not user facing"
] | 1 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 | true |
2,932,699,132 | Update commitlist.py instructions for the GitHub repo regime | janeyx99 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149535
| true |
2,932,648,255 | Addind RoPE to pytorch core | manuelcandales | open | [
"module: nn",
"triaged",
"enhancement",
"needs design"
] | 2 | CONTRIBUTOR | The RoPE python code is being copied and pasted over and over in multiple pytorch org repos. I propose we move the RoPE operation to pytorch core (e.g. under nn.functional) and also add a RotaryPositionalEmbeddings module. Some examples of code duplication:
pytorch/ao:
- https://github.com/pytorch/ao/blob/64bcf4c25755... | true |
2,932,637,266 | UnsupportedOperatorException: aten._fft_r2c.default | ivyw-ts | closed | [
"module: onnx",
"triaged",
"oncall: pt2",
"oncall: export"
] | 7 | NONE | ### 🐛 Describe the bug
We ran into this error when trying to convert the <a href="https://huggingface.co/speechbrain/lang-id-voxlingua107-ecapa">VoxLingua107 ECAPA-TDNN Spoken Language Identification Model</a> to ONNX. Replication and error outputs are below; a more verbose logs file is attached as well.
[onnx_expor... | true |
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