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 |
|---|---|---|---|---|---|---|---|---|
2,874,188,316 | GradScaler Not work on Intel Arc GPU | xiaoran007 | closed | [] | 2 | NONE | ### 🐛 Describe the bug
I recently setup the environment for my Intel ARC A770 GPU and it worked fine on FP32. However, when I try to train with mixed precision, I find that GradScaler doesn't work properly on the ARC GPUs.
If I use GradScaler directly according to this [documentation](https://pytorch.org/docs/stabl... | true |
2,874,179,768 | [DSD] Fixes issue when there is a PG without parameters | fegin | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (checkpoint)"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147730
Fixes https://github.com/pytorch/pytorch/issues/143828
cc @H-Huang @awgu @kwen2501 @wanchaol @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @LucasLLC @MeetVadakkanchery @mhorowitz @pradeepfn @ekr0 | true |
2,874,113,683 | [RFE][Distributed][NCCL] A feature request for stream management API in PG NCCL | Aidyn-A | closed | [
"oncall: distributed",
"module: cuda",
"module: nccl",
"module: c10d"
] | 16 | COLLABORATOR | ### 🚀 The feature, motivation and pitch
### A feature request for stream management API in PG NCCL
Asynchronous communication offers the benefit of being overlapped with other CUDA operations, thanks to stream concurrency. However, in the current state of PyTorch, this advantage may be compromised by a potential "rea... | true |
2,874,092,879 | Update slow tests | pytorchupdatebot | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/slow",
"ci-no-td"
] | 3 | COLLABORATOR | This PR is auto-generated weekly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/weekly.yml).
Update the list of slow tests. | true |
2,874,033,075 | [XPU][Inductor] Update Intel triton for release 2.7. | etaf | closed | [
"open source",
"Merged",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"keep-going",
"ciflow/xpu"
] | 9 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #148323
* __->__ #147727
* #148538
* #148534
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,873,994,208 | DISABLED test_inductor_all_reduce_coalesced (__main__.CompileTest) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"module: c10d"
] | 11 | NONE | Platforms: linux, rocm, inductor
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_inductor_all_reduce_coalesced&suite=CompileTest&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/37685839699).
Over the p... | true |
2,873,838,543 | Avoid linking multiple OMP runtimes in libtorch_cpu.so if BLAS used is OpenBLAS. | vinithakv | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 11 | CONTRIBUTOR | When PyTorch is built with OpenBLAS support and libopenblas is ldrectly linked with libgomp.so the libtorch_cpu.so ends up getting multiple omp runtimes linked against it. This may result in unexpected runtime behaviour /regression. This patch fixes this by avoiding linking against libomp.so if OpenBLAS is linked again... | true |
2,873,793,691 | [DTensor] [distributed]: Operator aten.select.int does not have a sharding strategy registered | biwang-pa | closed | [
"oncall: distributed",
"triaged",
"module: dtensor"
] | 4 | NONE | ### 🚀 The feature, motivation and pitch
Hi,
It looks like `aten.select.int` has no sharding strategy registered. I searched around it looks like this issue is something DTensor module needs to add op by op.
Here is the error log I have:
```
(TunerInternal pid=2226) Training errored after 0 iterations at 2025-02-22 21... | true |
2,873,786,644 | fix simple-spec crash | mayank31398 | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor"
] | 24 | CONTRIBUTOR | found an issue while running `python torchgen/fuse/gen_patterns.py`
exact error:
```shell
Traceback (most recent call last):
File "/Users/mayankmishra/Desktop/non-IBM/pytorch/torchgen/fuse/gen_patterns.py", line 19, in <module>
joint_graph.lazy_init()
File "/Users/mayankmishra/miniconda3/envs/ai/lib/pyt... | true |
2,873,776,823 | Segmentation fault in `torch.ops.profiler._call_end_callbacks_on_jit_fut` | vwrewsge | open | [
"oncall: profiler"
] | 0 | NONE | ### 🐛 Describe the bug
Passing a tuple with None value to `torch.ops.profiler._call_end_callbacks_on_jit_fut` can cause a Segmentation fault.
# Code
```
import torch
torch.ops.profiler._call_end_callbacks_on_jit_fut(torch.tensor(0), None)
```
# Output
```
Segmentation fault
```
### Versions
PyTorch version: 2.6.0+... | true |
2,873,762,309 | Skip test_dtypes xpu test on bmm and addbmm | daisyden | open | [
"triaged",
"open source",
"Stale",
"topic: not user facing"
] | 6 | NONE | For [RFC](https://github.com/pytorch/pytorch/issues/114850), this PR is to skip Intel GPU TestCommon::test_dtypes test on bmm and addbmm as both ops do not have complex64 support at present. To achieve this and limit the updates to op_db, extended DecorateInfo to support list device_type.
| true |
2,873,740,025 | [ONNX Convert] Error when input to nn.AdaptiveAvgPool2d size is variable | cengyi22 | open | [
"module: onnx",
"triaged"
] | 0 | NONE | ### 🐛 Describe the bug
We are working on converting a trained model with nn.AdaptiveAvgPool2d to onnx, but we encountered an error where the onnx conversion is not performed when the input of nn.AdaptiveAvgPool2d is variable.
class spatial_strip_att2(nn.Module):
def __init__(self, dim, kernel=3, dilation=1, gro... | true |
2,873,731,278 | DISABLED test_real_imag_view_lazy_complex128 (__main__.TestViewOpsLAZY) | ankurneog | closed | [
"skipped"
] | 1 | CONTRIBUTOR | Platforms: <fill this in or delete. Valid labels are: asan, linux, mac, macos, rocm, win, windows.>
This test was disabled because it is failing on main branch ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22test_view_ops.py%3A%3ATestViewOpsLAZY%3A%3Atest_real_imag_view_lazy_complex128%22%5D)). | true |
2,873,731,224 | DISABLED test_real_imag_view_lazy_complex128 (__main__.TestViewOpsLAZY) | ankurneog | closed | [
"skipped"
] | 1 | CONTRIBUTOR | Platforms: <fill this in or delete. Valid labels are: asan, linux, mac, macos, rocm, win, windows.>
This test was disabled because it is failing on main branch ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22test_view_ops.py%3A%3ATestViewOpsLAZY%3A%3Atest_real_imag_view_lazy_complex128%22%5D)). | true |
2,873,731,188 | DISABLED test_flatten_nonview_xla (__main__.TestViewOpsXLA) | ankurneog | closed | [
"skipped"
] | 1 | CONTRIBUTOR | Platforms: <fill this in or delete. Valid labels are: asan, linux, mac, macos, rocm, win, windows.>
This test was disabled because it is failing on main branch ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22test_flatten_nonview_xla%22%2C%22TestViewOpsXLA%22%5D)). | true |
2,873,731,085 | DISABLED test_real_imag_view_lazy_complex128 (__main__.TestViewOpsLAZY) | ankurneog | closed | [
"skipped"
] | 1 | CONTRIBUTOR | Platforms: <fill this in or delete. Valid labels are: asan, linux, mac, macos, rocm, win, windows.>
This test was disabled because it is failing on main branch ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22test_view_ops.py%3A%3ATestViewOpsLAZY%3A%3Atest_real_imag_view_lazy_complex128%22%5D)). | true |
2,873,730,939 | DISABLED test_real_imag_view_lazy_complex128 (__main__.TestViewOpsLAZY) | ankurneog | closed | [
"skipped"
] | 1 | CONTRIBUTOR | Platforms: <fill this in or delete. Valid labels are: asan, linux, mac, macos, rocm, win, windows.>
This test was disabled because it is failing on main branch ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22test_view_ops.py%3A%3ATestViewOpsLAZY%3A%3Atest_real_imag_view_lazy_complex128%22%5D)). | true |
2,873,730,424 | DISABLED test_real_imag_view_lazy_complex128 (__main__.TestViewOpsLAZY) | ankurneog | closed | [
"skipped"
] | 1 | CONTRIBUTOR | Platforms: <fill this in or delete. Valid labels are: asan, linux, mac, macos, rocm, win, windows.>
This test was disabled because it is failing on main branch ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22test_view_ops.py%3A%3ATestViewOpsLAZY%3A%3Atest_real_imag_view_lazy_complex128%22%5D)). | true |
2,873,730,243 | DISABLED test_real_imag_view_lazy_complex128 (__main__.TestViewOpsLAZY) | ankurneog | closed | [
"skipped"
] | 1 | CONTRIBUTOR | Platforms: <fill this in or delete. Valid labels are: asan, linux, mac, macos, rocm, win, windows.>
This test was disabled because it is failing on main branch ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22test_view_ops.py%3A%3ATestViewOpsLAZY%3A%3Atest_real_imag_view_lazy_complex128%22%5D)). | true |
2,873,730,062 | DISABLED test_real_imag_view_lazy_complex128 (__main__.TestViewOpsLAZY) | ankurneog | closed | [
"skipped"
] | 1 | CONTRIBUTOR | Platforms: <fill this in or delete. Valid labels are: asan, linux, mac, macos, rocm, win, windows.>
This test was disabled because it is failing on main branch ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22test_view_ops.py%3A%3ATestViewOpsLAZY%3A%3Atest_real_imag_view_lazy_complex128%22%5D)). | true |
2,873,729,889 | DISABLED test_real_imag_view_lazy_complex128 (__main__.TestViewOpsLAZY) | ankurneog | closed | [
"skipped"
] | 1 | CONTRIBUTOR | Platforms: <fill this in or delete. Valid labels are: asan, linux, mac, macos, rocm, win, windows.>
This test was disabled because it is failing on main branch ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22test_view_ops.py%3A%3ATestViewOpsLAZY%3A%3Atest_real_imag_view_lazy_complex128%22%5D)). | true |
2,873,699,476 | [AOTI][XPU] Suppress multi-line comment warning for XPU. | etaf | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ciflow/xpu"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147710
This PR aim to suppress multi-line comment waring in sycl header when building Inductor cpp_wrapper .
```
/intel/oneapi/compiler/2025.0/include/sycl/detail/builtins/builtins.hpp:235:1: warning: multi-line comment [-Wcomment... | true |
2,873,675,475 | [MPS/Inductor] Add support for xlog1py. | 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 @yf225 @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,873,639,826 | [Window] Fix invalid file path on windows. | etaf | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"ciflow/xpu"
] | 4 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147708
This PR aims to fix the invalid path for windows: `C:\\Users\\sdp\\AppData\\Local\\Temp\\tmp0wugz2qm\\dynamo\\code_state___main__.TestFxGraphCache.test_cache_hot_load_pgo:None:.pkl.lock`
Windows does not allow chars `\ / :... | true |
2,873,621,596 | DISABLED test_inductor_all_gather_into_tensor_single (__main__.CompileTest) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"module: c10d"
] | 17 | NONE | Platforms: linux, rocm, inductor
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_inductor_all_gather_into_tensor_single&suite=CompileTest&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/37677708367).
... | true |
2,873,486,904 | Random Batch Sampler Speedup | GalAvineri | open | [
"triaged",
"open source",
"release notes: dataloader"
] | 11 | NONE | # Motivation
`Sampler` outputs indices using a generator, forcing `BatchSampler` to iterate over the indices one-by-one before grouping them into batches.
If `Sampler` constructs the whole sequence of indices before yielding it, batching could be done more efficiently over the sequence than by iterating over a gener... | true |
2,873,375,483 | PyTorch README Update | naveeen0308 | closed | [
"open source",
"topic: not user facing"
] | 2 | NONE | This pull request updates the PyTorch README file to enhance clarity, improve formatting, and ensure compliance with the latest contribution guidelines. The changes include refined installation instructions, updated resource links, and improved guidance for contributing to PyTorch. The update maintains the structure of... | true |
2,873,367,060 | Update README.md | dhi2906nesh | closed | [
"open source",
"topic: not user facing"
] | 3 | NONE | **Minor Documentation Enhancement in README**
Description:
This pull request introduces minor punctuation improvements to the README file by adding necessary full stops for better readability and consistency. While the changes are small, they contribute to maintaining a polished and professional documentation style... | true |
2,873,341,705 | Update README.md | naveeen0308 | closed | [
"open source",
"topic: not user facing"
] | 2 | NONE | Corrected grammatical grammers. | true |
2,873,341,158 | [bugfix][ez]: jit bugfix 3.10 version checking | Skylion007 | closed | [
"triaged",
"open source",
"ciflow/trunk",
"release notes: python_frontend",
"topic: bug fixes"
] | 4 | COLLABORATOR | Caught by a ruff static linter check. Will be flagged when we update the version. This was enabling on any minor version of 3.10 when it should have only enabled on 3.11
cc @albanD | true |
2,873,334,752 | Compiled `flex_attention` assuming wrong output tensor shape | mauriceweiler | closed | [
"triaged",
"oncall: pt2",
"module: higher order operators",
"module: pt2-dispatcher",
"module: flex attention"
] | 5 | NONE | ### 🐛 Describe the bug
When running the code below, I get the following error:
```
torch._dynamo.exc.TorchRuntimeError: Failed running call_method reshape(*(FakeTensor(..., device='cuda:0', size=(1, 1024, 1, 8)), 1, 1024, 16), **{}):
shape '[1, 1024, 16]' is invalid for input of size 8192
```
The code runs without pr... | true |
2,873,326,236 | Inconsistent inference with batch size=1 | dimiz51 | closed | [] | 4 | NONE | ### 🐛 Describe the bug
I have built a custom implementation of DETR (Detection transformer) using a ResNet50 backbone from torchvision. The problem is that inference fails to produce any detections with batch size = 1 while it works fine for any other batch size > 1.
**Forward pass of my model**
```
def forward(... | true |
2,873,308,485 | [BE] add missing overload annotations for `tree_map_only` | XuehaiPan | closed | [
"module: typing",
"open source",
"better-engineering",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147691
* #144640
* __->__ #147699
cc @ezyang @malfet @xuzhao9 @gramster | true |
2,873,307,025 | Update ninja missing error message | albanD | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 5 | COLLABORATOR | In cpp_extensions
| true |
2,873,224,847 | [docs] fix numpy docs reference | martin-kokos | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: python_frontend",
"topic: docs"
] | 6 | CONTRIBUTOR | Fix a link to numpy documentation that has moved and now 404's
I"ve checked other numpy doc links that point to docs.scipy.org (which then redirects to numpy.org) and they do work, so I am fixing just this 404. | true |
2,873,182,745 | There is a problem with the wording here. | leftsl | closed | [
"module: docs",
"module: nn",
"triaged"
] | 2 | NONE | ### 📚 The doc issue
site:[error documentation](https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module.register_forward_hook)
description：In the documentation for PyTorch's register_forward_hook method, it states:
"prepend (bool) – If True, the provided hook will be fired before all existing f... | true |
2,873,024,404 | [dynamo][cpp-guards] Disable dict-tag optim if the guard_manager has child accessors | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #140756
* __->__ #147694
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,872,995,655 | [Intel GPU] OneDNN primitive cache support for Int4 WOQ gemm on XPU | baodii | open | [
"oncall: distributed",
"module: cpu",
"module: mkldnn",
"open source",
"module: amp (automated mixed precision)",
"NNC",
"release notes: quantization",
"release notes: releng",
"module: inductor",
"module: dynamo",
"release notes: distributed (checkpoint)",
"module: compiled autograd",
"rele... | 6 | NONE | * add onednn primitive cache for int4 gemm for xpu
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @jerryzh168 @gujinghui @PenghuiCheng @jianyuh @min-jean-cho @yanbing-j @Guobing-Chen @Xia-Weiwen @snadampal @mcarilli @ptrblck @le... | true |
2,872,983,620 | Please generate a new version of pytorch into blackwell rtx5080 with cuda 12.8. Thank you very much. | FrankDela | open | [
"module: binaries",
"triaged"
] | 1 | NONE | ### 🚀 The feature, motivation and pitch
Please generate a new version of pytorch into blackwell rtx5080 with cuda 12.8. Thank you very much.
### Alternatives
_No response_
### Additional context
_No response_
cc @seemethere @malfet @osalpekar @atalman | true |
2,872,935,578 | [FX] micro-optimization `map_aggregate(immutable_dict)` | XuehaiPan | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"fx"
] | 4 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147691
* #144640
* #147699
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,872,878,248 | Update triton_heuristics.py | anikamule | open | [
"good first issue",
"triaged",
"open source",
"better-engineering",
"actionable",
"topic: not user facing",
"module: inductor"
] | 13 | NONE | Fixes #146018
This PR fixes a bug where args_with_constexprs overwrites grid, causing a TypeError. The fix adds a check to ensure the correct number of arguments are passed to launcher, improving error handling and preventing unexpected failures in Triton kernel execution.
cc @voznesenskym @penguinw... | true |
2,872,873,220 | testing pr not for commit | oulgen | closed | [
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147689
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,872,865,397 | [CacheBench] Add ciflow/trunk test | oulgen | closed | [
"Merged",
"ciflow/trunk",
"release notes: releng",
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147783
* #147782
* #147781
* #147780
* __->__ #147688
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,872,836,225 | [MPS] Add eager support for xlog1py. | dcci | closed | [
"Merged",
"module: mps",
"release notes: mps",
"ciflow/mps",
"module: inductor"
] | 5 | MEMBER | cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,872,820,281 | Potential mismatch in bias indexing in `fx_passes/binary_folding.py` | jiannanWang | open | [
"triaged",
"module: inductor"
] | 3 | NONE | ### 🐛 Describe the bug
In [pytorch/torch/_inductor/fx_passes/binary_folding.py](https://github.com/pytorch/pytorch/blob/main/torch/_inductor/fx_passes/binary_folding.py), there appears to be a bug at line 134. The relevant snippet is:
```
# conv.bias
if conv_node.args[1] is not None and conv_node.args... | true |
2,872,814,028 | manual dynamism whitelist | bobrenjc93 | closed | [
"ciflow/trunk",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147685
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames
Differential Revision: [D70043918](https://our.internmc.facebook.... | true |
2,872,814,013 | manual whitelist | bobrenjc93 | closed | [
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147685
* __->__ #147684
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,872,785,378 | [dynamo][guards] Dont consider tensor immutable for guards | anijain2305 | closed | [
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147683
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,872,783,580 | Error in parsing arch_string in _extract_arch_version | thinwoodsman | open | [
"module: cuda",
"triaged"
] | 0 | NONE | ### 🐛 Describe the bug
In torch/cuda/__init__.py , the parsing of arch_string assumes the presence of an underscore ('_'):
```
def _extract_arch_version(arch_string: str):
"""Extracts the architecture string from a CUDA version"""
base = arch_string.split("_")[1]
base = base.removesuffix... | true |
2,872,762,802 | [MPS/inductor] Adjust more tests that depends on non-divisible input sizes | dcci | closed | [
"Merged",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 3 | MEMBER | Also adjust a comment while I'm at it.
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,871,309,312 | [AOTI][refactor] Replace run_command_and_check with CppBuilder.build | desertfire | closed | [
"fb-exported",
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 10 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147680
* #147679
Consolidate cpp compilation action to CppBuilder
Differential Revision: [D69723632](https://our.internmc.facebook.com/intern/diff/D69723632/)
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSu... | true |
2,871,309,034 | [AOTI][refactor] Rename use_absolute_path to use_relative_path | desertfire | closed | [
"fb-exported",
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 12 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147680
* __->__ #147679
The option really means to compile a cpp file using its basename instead of the its full path.
Differential Revision: [D69722709](https://our.internmc.facebook.com/intern/diff/D69722709/)
cc @voznesenskym @penguinw... | true |
2,871,249,093 | [dynamo][guards] Allow child accessor traversal for TENSOR_MATCH with matching dict tag | anijain2305 | closed | [
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147678
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,871,230,570 | distributed_c10d.broadcast causing unexpected CUDA oom error | jeffrey-cochran | open | [
"oncall: distributed",
"triaged",
"module: c10d"
] | 0 | NONE | ### 🐛 Describe the bug
Broadcasting `torch.tensor(True)` is causing a CUDA oom error with 2 GPUs. I'm not sure if this is an issue that's only arisen since [support for CUDA 12.8](https://github.com/pytorch/pytorch/issues/145570) was added to the nightly build (my second GPU is a 5070 Ti and requires sm_120, so I can... | true |
2,871,204,262 | [mps/inductor] XFAIL adaptive_avg_pool_with_output_size_0. | dcci | closed | [
"Merged",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 3 | MEMBER | Non-divisible input sizes are not implemented on MPS device yet
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,871,138,509 | [DCP] fix dcp gather_object/scatter_object_list | Ghost-LZW | closed | [
"oncall: distributed",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: bug fixes",
"topic: not user facing",
"release notes: distributed (checkpoint)",
"oncall: distributed checkpointing"
] | 9 | CONTRIBUTOR | gather_object/scatter_object_list's dst is `Destination rank on global process group (regardless of group argument)`.
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @LucasLLC @MeetVadakkanchery @mhorowitz @pradeepfn @ekr0 | true |
2,871,016,826 | [ONNX] Record the capture strategy in onnx program | justinchuby | closed | [
"module: onnx",
"triaged"
] | 0 | COLLABORATOR | ### 🚀 The feature, motivation and pitch
We can create a field `_capture_strategy` to record the strategy used for creating the onnx program and use it to guard the tests. This way we will be able to catch regressions when there are fall back strategies triggered.
cc @titaiwangms @xadupre
### Alternatives
_No resp... | true |
2,870,949,833 | [Inductor] Update should_decompose_mm condition for CPU | hl475 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 7 | CONTRIBUTOR | Summary:
Previously, for cpu we decompose addmm if
```
check_device(mat1, mat2, device="cpu")
and mat1.shape[0] == 1
and mat2.shape[0] <= 64
and mat2.shape[1] <= 16
```
We have a new case where `mat2.shape[2] = 304`, and benchmark shows that it will beneficial if we decompose, so update the cond... | true |
2,870,761,034 | torch._dynamo.exc.UserError: Could not guard on data-dependent expression Eq(256*u0, 256) (unhinted: Eq(256*u0, 256)). | bhack | open | [
"oncall: pt2",
"oncall: export"
] | 3 | CONTRIBUTOR | ### 🐛 Describe the bug
I was trying to export+compile this:
https://github.com/gorkaydemir/track_on/blob/main/model/modules.py
But I got an error with:
`ATTENTION: guard_size_oblivious would fix the error, evaluating expression to False.`
### Error logs
```python
....
File "/workspace/model/track_on.py", line 415,... | true |
2,870,742,732 | torch_cuda.dll was built failed to link _cudnn_attention_forward | xuhancn | closed | [
"module: build",
"module: windows",
"module: cudnn",
"module: cuda",
"triaged"
] | 6 | COLLABORATOR | ### 🐛 Describe the bug
When I' doing some PyTorch development work, I found `torch_cuda.dll` was built failed when link `_cudnn_attention_forward`.
To confirm and reproduce issue, I created a empty PR and triggered CI with `ciflow/binaries` tag: https://github.com/pytorch/pytorch/pull/147664
The failed UTs here: ht... | true |
2,870,661,562 | fix #145064 , added error checking for empty tensor in _pdist_forward | AmalDevHaridevan | open | [
"triaged",
"open source",
"ciflow/trunk",
"release notes: nn"
] | 5 | NONE | Fixes #145064
Added TORCH_CHECK to prevent iterating over nullptr and causing segfault.
We can verify this by running the following simple test:
```python import torch
print(torch.__version__)
input = torch.rand((11, 15,3))
print("Running test with non empty tensor")
print("="*50)
print(torch.ops.aten._pdis... | true |
2,870,623,720 | python3 -m torch.utils.collect_env not providing expected output. | chowdri | closed | [
"module: rocm",
"module: collect_env.py",
"triaged"
] | 29 | NONE | I'm using the following guide to install pytorch on my computer (elementaryOS 7.1 / Ubuntu 22.04.5):
https://rocm.docs.amd.com/projects/radeon/en/latest/docs/install/native_linux/install-pytorch.html
I have installed pytorch using pip.
The process goes as expected until I use the following command to verify install... | true |
2,870,618,541 | Enforce full FIPS compliance with hashlib - ruff rule S324 | dinesh-GDK | closed | [
"oncall: distributed",
"triaged",
"open source",
"release notes: releng",
"fx"
] | 3 | NONE | Fixes #147627
Add rule S324 to the RUFF linter
Command to test
```bash
ruff check
```
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv @Skylion007 | true |
2,870,593,565 | [MPS] Workaround rng bug for 5D tensors | malfet | closed | [
"Merged",
"release notes: mps",
"ciflow/mps"
] | 3 | CONTRIBUTOR | For some reason MPSGraph returns repeated values is tensor dimention is
larger than 4, which can be clearly seen by running following
```swift
import Metal
import MetalPerformanceShadersGraph
func randMPS(device: MTLDevice, obuf: MTLBuffer, nelem: Int, ndim: Int = 5) {
let graph = MPSGraph()
var dims = Arr... | true |
2,870,575,139 | [inductor] align `replicationpad` on processing `bool` dtype with eager | shaoyuyoung | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor"
] | 14 | CONTRIBUTOR | Fixes #143779
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,870,567,435 | Enable ruff rule S324 | zeshengzong | closed | [
"oncall: distributed",
"open source",
"Merged",
"ciflow/trunk",
"release notes: releng",
"fx"
] | 4 | CONTRIBUTOR | Fixes #147627
- Add `S324` in `pyproject.toml `
- Running check and clean warnings
```bash
lintrunner --take RUFF --all-files
```
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,870,538,751 | [don't merge] test Windows cuda wheel and libtorch ci | xuhancn | open | [
"open source",
"Stale",
"ciflow/binaries",
"ciflow/trunk",
"topic: not user facing",
"ciflow/xpu"
] | 2 | COLLABORATOR | Fixes #ISSUE_NUMBER
| true |
2,870,387,800 | [DDP] Temporarily disable comm mem | kwen2501 | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147663
For fear that it incur slightly more memory usage and cause some applications at tight memory margin to OOM.
(bc the comm mem pool is a separate pool than the regular pool ?)
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz... | true |
2,870,366,824 | GPUDirect Storage dcp.save/dcp.load torch.save/torch.load | OrenLeung | open | [
"module: serialization",
"triaged"
] | 0 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
Currently gpudirect storage is not accessible to the average end user although #133489 upstreamed cufile GDS support, the UX is quite horrible.
https://github.com/pytorch/pytorch/pull/133489/files#diff-893b1eea27352f336f4cd832919e48d721e4e90186e63400b8596db6b82e7450R5270-R5289
... | true |
2,870,340,525 | Add shape fn for einsum | pgmoka | open | [
"triaged",
"module: xla",
"module: linear algebra",
"module: lazy"
] | 1 | NONE | ### 🚀 The feature, motivation and pitch
We are trying to lower the einsum operation to PyTorch XLA using full code generation(https://github.com/pytorch/xla/issues/8713), but we are blocking doing so until it is added to [torch/csrc/lazy/core/shape_inference.h](https://github.com/pytorch/pytorch/blob/6e0b09728a55ce3c... | true |
2,870,333,157 | Initial implementation of host memory stats | mradmila | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"release notes: cuda",
"module: dynamo",
"ciflow/inductor",
"ci-no-td"
] | 12 | CONTRIBUTOR | This is an initial attempt to provide some statistics for the pinned host memory allocations flowing through CachingHostAllocator. Many times in the past we have had inexplicable slowdowns that would be much easier to diagnose if we had some host memory characteristics.
This change tries very hard not to disrupt the... | true |
2,870,312,763 | [ROCm][TunableOp] Speed-up matmul_small_brute_force_tunableop unit test | naromero77amd | closed | [
"module: rocm",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/rocm"
] | 3 | COLLABORATOR | This PR has a UT speed-up and some refactoring of tests.
A previous PR https://github.com/pytorch/pytorch/pull/142422 fixed this matmul_small_brute_force_tunableop for the FP16 data type by adding TunableOp numerical checks. It had the unfortunate side effect that it increased the execution time for the FP32 and FP6... | true |
2,870,309,511 | [cuBLAS] restrict input range for `addmm` tests | eqy | open | [
"module: cuda",
"triaged",
"module: cublas",
"open source",
"Stale",
"topic: not user facing",
"matrix multiplication"
] | 3 | COLLABORATOR | cancellation seems to be an issue for the larger (~10k) sizes
this also allows us to test with tighter tolerances
cc @ptrblck @msaroufim @jerryzh168 @csarofeen @xwang233 | true |
2,870,308,180 | [ROCm] Use IPT=8 for block radix sort | jerrymannil | closed | [
"module: rocm",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"rocm",
"ciflow/rocm",
"ciflow/inductor-rocm"
] | 6 | CONTRIBUTOR | Improve performance for shapes that use block radix sort by decreasing the item_per_thread to 8.
This will increase the thread block size leading to higher occupancy.
Co-author: @amd-sushetty
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,870,297,716 | [aoti x with_effect token] Unbacked symint and register lowering | yushangdi | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 22 | CONTRIBUTOR | Differential Revision: D70022208
- When resolving unbacked symints in ExternKernel for with_effect, we need to ignore the first item in the binding path, because the `example_output` doesn't contain the effect token, but the binding paths do.
- Similarly, `node.meta["val"]` contains the effect token, so when we ... | true |
2,870,281,359 | [Submodule] [Cutlass] Update to 3.8.0 tag | drisspg | closed | [
"module: cuda",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ci-no-td"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147655
cc @ptrblck @msaroufim @eqy | true |
2,870,263,250 | [for experimentation only] check compile time with C++ pytree | anijain2305 | closed | [
"ciflow/periodic",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"release notes: AO frontend",
"keep-going",
"module: compiled autograd"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147654
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov @xmfan | true |
2,870,259,583 | Bf16 fused adam(W) | janeyx99 | open | [
"release notes: foreach_frontend"
] | 1 | CONTRIBUTOR | Many things do work!
Some things do not:
amsgrad does not work
some checks are removed (not critical imo, but def less safe) to let multidevice work
adam + adamw should work
tensor lr would work if it's on cpu
the float, float, bf16, bf16 pattern is specialized, other mixed precision will not work
Stack fro... | true |
2,870,251,892 | [CI] Checkout with more processes | clee2000 | closed | [
"Merged",
"topic: not user facing"
] | 3 | CONTRIBUTOR | The default action doesn't use more processes, possibly because most github provided runners only have 2 cpus, but we have more than that, so we might as well use them
Generally cuts maybe 1 min off of checkout time?
Changed checkout from pytorch/pytorch@main to pytorch/pytorch@my branch to test on 249a936998e66c... | true |
2,870,243,446 | Add super().setUp() to some test cases | clee2000 | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | I saw that their disabled issues were getting spammed with comments, meaning that they were still running in CI despite having a disable issue, so I added the super().setUp() call to check if there's a disable issue for them since they were missing it
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconst... | true |
2,870,212,516 | [MPS] Add inductor support for spherical_bessel_j0. | dcci | closed | [
"Merged",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 4 | MEMBER | Counterpart to my previous patch that added support for the op in eager.
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhun... | true |
2,870,198,862 | [custom op] fix inductor cpp codegen when returning a list of single tensor | ydwu4 | 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):
* #147567
* __->__ #147649
* #147130
For a custom op that returns a list of a single tensor with unbacked symint shape:
```python
@torch.library.custom_op(
"aoti_custom_ops::fn_ret_list_of_single_tensor", mutates_args={}
)
def fn_r... | true |
2,870,155,087 | [CUDAGraph] Graph Partition | BoyuanFeng | closed | [
"Merged",
"ciflow/trunk",
"topic: new features",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 7 | CONTRIBUTOR | This PR implements cudagraph partition, following previous PR on inductor graph partition (#147038). Since there are many ops that cudagraph cannot support, this PR focuses on `cpu ops` and will add more partition rules in the next PR.
## Example
```python
import torch
torch._inductor.config.graph_partition = T... | true |
2,870,119,622 | [BE] TCPStore: use typed errors for assertions | d4l3k | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 3 | MEMBER | This is a follow up to #147465 that changes most TORCH_CHECK calls in TCPStore and TCPStoreLibUvBackend to use typed exceptions instead of generic `TORCH_CHECK` calls which end up as RuntimeErrors in Python.
Test plan:
```
pytest test/distributed/test_store.py
```
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin ... | true |
2,870,075,033 | [ROCm] change is_hip_clang() to always return True | ethanwee1 | closed | [
"module: rocm",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | hipify is replacing kernel launchs <<< >>> with hipLaunchKernelGGL() macro and this is a regression caused by /opt/rocm/hip/.hipinfo no longer existing.
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,870,067,707 | [sm100][sm120][fp8][CUDA] skip rowwise scaling tests on SM100+ for now | eqy | closed | [
"module: cuda",
"triaged",
"open source",
"Stale",
"topic: not user facing",
"matrix multiplication",
"module: float8"
] | 3 | COLLABORATOR | currently not implemented IIUC
cc @ptrblck @msaroufim @jerryzh168 @yanbing-j @vkuzo @albanD @kadeng @penguinwu | true |
2,870,059,608 | Implement metal kernel for basic MPS arithmetic ops using TensorIterator | skotapati | closed | [
"triaged",
"open source",
"Merged",
"topic: performance",
"release notes: mps",
"ciflow/mps"
] | 19 | COLLABORATOR | Add metal kernels for add, subtract, & lerp ops using TensorIterator. Should help resolve: https://github.com/pytorch/pytorch/issues/143874 | true |
2,870,005,329 | Representation string of a meta tensor is not a valid `tensor` call | chajath | open | [
"triaged",
"module: meta tensors",
"module: python frontend"
] | 6 | NONE | ### 🚀 The feature, motivation and pitch
When creating tensor for `meta` device, the representation of the tensor is in the form of:
`tensor(..., device='meta', size=(3,4))`
If I try to run the representation code, I run into issues:
`TypeError: tensor() got an unexpected keyword argument 'size'`
this is different... | true |
2,869,995,787 | UNSTABLE pull / unstable-linux-focal-cuda12.4-py3.10-gcc9-sm89-xfail / build | clee2000 | closed | [
"module: ci",
"triaged",
"unstable"
] | 2 | CONTRIBUTOR | See https://github.com/pytorch/pytorch/pull/147487 for context
I want to run an experiment and this job might be flaky so I am marking it as unstable. The job already has unstable in the job name so I think it should be fine but also making this just incase
cc @seemethere @malfet @pytorch/pytorch-dev-infra | true |
2,869,958,672 | [CacheBench] Refactor code to prepare for mode benchmarks | oulgen | closed | [
"Merged",
"ciflow/trunk",
"release notes: benchmark",
"module: dynamo",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147641
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,869,940,839 | Fix test_halide.py report invocation to re-run failed tests | isuruf | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147640
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,869,880,644 | [Inductor] Hot fix after #146917 | anmyachev | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor"
] | 5 | COLLABORATOR | This pull request reverts the changes to `torch/_inductor/ir.py` file that were added in #146917.
Where I tested, there were changes only from `torch/_inductor/codegen/cpp_wrapper_gpu.py`, it turns out that changes in `torch/_inductor/ir.py` file are not really needed. So it's my fault, I didn't sync the environment... | true |
2,869,789,301 | [aotd] Alias of intermediate unwrap TensorAlias | IvanKobzarev | 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):
* __->__ #147638
Bug was reported by internal user.
AOTD classified outputs that are aliases of intermediates of the graph in different categories.
...
- output is alias of intermediate which base is already output
- output is alias o... | true |
2,869,754,640 | [CD] Enable triton xpu windows build | chuanqi129 | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | COLLABORATOR | Depends on #147727, which introduce triton xpu windows support | true |
2,869,687,219 | [PP] Remove extra code and docs BE | H-Huang | closed | [
"oncall: distributed",
"better-engineering",
"Merged",
"ciflow/trunk",
"release notes: distributed (pipeline)"
] | 3 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147636
current docs:
<img width="746" alt="image" src="https://github.com/user-attachments/assets/4c4088fc-ee97-4a82-be28-e33eb35e76f5" />
cc @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,869,603,152 | Remove backend_type_map from Backend | H-Huang | open | [
"oncall: distributed",
"better-engineering",
"Stale",
"release notes: distributed (c10d)"
] | 2 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147635
Fix https://github.com/pytorch/pytorch/issues/147044. `backend_type_map` was previously used to get the default device for the object collectives / barrier, but is no longer used, so we can remove it. Not sure if this will ... | true |
2,869,519,157 | constexpr all the things in irange.h | swolchok | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 9 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147633
I got complaints while irangeifying some files in ExecuTorch
that irange could not be used in a constexpr function. This made the
complaints go away.
I added a constexpr function in irange_test that used to fail to build
with... | true |
2,869,432,289 | torch.compile programming model doc requests | zou3519 | open | [
"triaged",
"oncall: pt2",
"module: dynamo"
] | 0 | CONTRIBUTOR | - [ ] torch._dynamo.debug_trace API that returns (1) guards (2) bytecode (3) the FX graph
- [ ] gm.print_readable() -> there should be a `gm.readable()` that returns a string. Otherwise, printing in a jupyter notebook is weird
- [ ] maybe a make_fx with tracing_mode = Fake already that is more descriptive. Like "operat... | true |
2,869,403,880 | torch.distributed.init_process_group with unspecified backend out of date | tpopp | open | [
"oncall: distributed",
"triaged",
"module: c10d"
] | 0 | NONE | ### 📚 The doc issue
"Support for multiple backends is experimental. Currently when no backend is specified, both gloo and nccl backends will be created." is stated in the documentation. I didn't bisect the change, but this is the behavior I see at 2.4, and is NOT the behavior I see at 2.6 and 2.7/main
https://pytorc... | true |
2,869,355,282 | [ROCm] Improve backwards indexing when stride is not one | doru1004 | closed | [
"module: rocm",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: rocm",
"ciflow/rocm"
] | 6 | CONTRIBUTOR | Improve backwards indexing when stride is not one.
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
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