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 |
|---|---|---|---|---|---|---|---|---|
2,818,126,325 | DISABLED test_return_tuple (__main__.TestScript) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: dynamo"
] | 1 | NONE | Platforms: dynamo
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_return_tuple&suite=TestScript&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36340322722).
Over the past 3 hours, it has been determined... | true |
2,818,020,380 | Publish pytorch RC docker images before release | bhack | closed | [
"module: binaries",
"oncall: releng",
"triaged",
"module: docker"
] | 6 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
I think that we need at least have RC images published before we do the final image release as currently users can test only the final release:
https://hub.docker.com/r/pytorch/pytorch
### Alternatives
_No response_
### Additional context
_No response_
cc @seemethere @mal... | true |
2,817,692,954 | DISABLED test_dtensor_seq_par_shard_dim_0 (__main__.MicroPipelineTPTest) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"module: c10d"
] | 4 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_dtensor_seq_par_shard_dim_0&suite=MicroPipelineTPTest&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36332698978).
Over the past 3 hours,... | true |
2,817,589,102 | Update mi300 labels to account for multiple clusters. | saienduri | closed | [
"module: rocm",
"triaged",
"open source",
"Merged",
"Reverted",
"topic: not user facing",
"ci-no-td"
] | 11 | CONTRIBUTOR | We now have multiple Kubernetes clusters of mi300x resources, and this commit updates labels accordingly to target both clusters evenly.
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,817,587,352 | Update NestedInt equality to take into account all metadata | soulitzer | open | [
"module: cpu",
"release notes: fx",
"fx",
"module: dynamo",
"ciflow/inductor",
"no-stale"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146172
* #146101
* __->__ #145922
* #141842
* #141841
* #146052
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @ezyang @SherlockNoMad @EikanWang @wenzhe-nrv @voznesenskym @penguinwu @Guobing-Chen @zhuhaozhe @blzheng... | true |
2,817,550,137 | Add retain-output argument | kfojcik-intel | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo"
] | 18 | CONTRIBUTOR | This PR add retain-output argument which enables appending to the already existing output file if it exists instead of deleting it and creating a new one.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,817,546,248 | Add basic Gaudi support to benchmarks/dynamo | kfojcik-intel | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"oncall: pt2",
"module: dynamo"
] | 13 | CONTRIBUTOR | This PR adds basic Gaudi support to benchmarks/dynamo
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,817,379,388 | DISABLED test_comprehensive_any_cuda_float32 (__main__.TestInductorOpInfoCUDA) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_comprehensive_any_cuda_float32&suite=TestInductorOpInfoCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36318896504).
Over the past 3 h... | true |
2,817,299,863 | [Customized Optimus] Add select cat aten pass | mengluy0125 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"module: inductor",
"ciflow/inductor",
"release notes: inductor",
"inductor_pattern_match"
] | 5 | CONTRIBUTOR | Summary: This is a follow up work of D68695717, where we can further reduce the number of cat kernels in the backward by designing new aten pass in the aten level.
Test Plan:
# unit test
```
buck2 test 'fbcode//mode/dev-nosan' fbcode//caffe2/test/inductor:split_cat_fx_aten_passes -- test_select_cat_post_grad
```
Buc... | true |
2,817,270,391 | Draft: fix: Some smaller mingw fixes | joda01 | closed | [
"open source",
"Stale"
] | 4 | NONE | Fixes #ISSUE_NUMBER
| true |
2,817,266,886 | [inductor] Add typing to common.KernelArgs | jansel | closed | [
"Merged",
"Reverted",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146226
* #146225
* #145993
* __->__ #145916
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @deser... | true |
2,817,198,403 | [inductor] Add typing to common.OpDecompositions | jansel | closed | [
"Merged",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146235
* #146226
* #146225
* #145993
* #145916
* __->__ #145915
* #145914
* #145913
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng ... | true |
2,817,198,349 | [inductor] Combine regexp checks in OpOverrides.paren | jansel | closed | [
"Merged",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146235
* #146226
* #146225
* #145993
* #145916
* #145915
* __->__ #145914
* #145913
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng ... | true |
2,817,198,218 | [inductor] Add types to DeviceOpOverrides | jansel | closed | [
"Merged",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146235
* #146226
* #146225
* #145993
* #145916
* #145915
* #145914
* __->__ #145913
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng ... | true |
2,817,159,357 | Deprecate conditional view for `torch.reshape` | kurtamohler | closed | [
"module: cpu",
"open source",
"release notes: python_frontend"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145912
* #145911
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 | true |
2,817,159,292 | Add future lazy clone setting and deprecate `torch.reshape` view | kurtamohler | open | [
"oncall: distributed",
"module: cpu",
"open source",
"release notes: python_frontend",
"module: inductor",
"module: dynamo",
"ciflow/inductor"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145911
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @voznesenskym @penguinwu @EikanWang @Guobing-Chen @zhuhaozhe @blzheng @... | true |
2,817,150,655 | Fix redundant move | cyyever | closed | [
"oncall: jit",
"open source",
"NNC",
"Stale",
"release notes: jit"
] | 2 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @EikanWang @jgong5 @wenzhe-nrv @sanchitintel | true |
2,817,133,209 | [dynamo][builin-skipfiles-cleanup] Remove types | 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):
* (to be filled)
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,817,102,438 | Debug perf regression | huydhn | closed | [
"module: dynamo",
"ciflow/inductor",
"no-runner-experiments",
"ciflow/inductor-periodic",
"test-config/inductor_torchbench_smoketest_perf"
] | 2 | CONTRIBUTOR | DEBUG, no need to review
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,817,096,807 | There may be a documentation Error in torch.nn.CrossEntropyLoss Formula | MJWade96 | open | [
"module: docs",
"module: loss",
"triaged"
] | 1 | NONE | ### 📚 The doc issue
I am not very sure if this is an error, or just a mistake of my understanding.
Documentation Location: (https://pytorch.org/docs/stable/generated/torch.nn.CrossEntropyLoss.html)
In the first list point(Class indices in the range ...), it says the range is [0, C), but in the formula for l_n, the... | true |
2,817,096,461 | Use std::string_view | cyyever | closed | [
"oncall: jit",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/periodic"
] | 9 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @EikanWang @jgong5 @wenzhe-nrv @sanchitintel | true |
2,817,090,553 | Let PYTORCH_NO_CUDA_MEMORY_CACHING has effect only when value is 1 | cyyever | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: cuda",
"topic: bug fixes"
] | 10 | COLLABORATOR | Fixes #145661
| true |
2,817,064,531 | [inductor] add size-asserts for fallback ops | shunting314 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"keep-going"
] | 26 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145904
Fix https://github.com/pytorch/pytorch/issues/144717
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @Co... | true |
2,817,031,480 | [NJT] Add cumsum support for nested tensors | ketansingh | open | [
"fb-exported",
"Stale",
"topic: improvements",
"release notes: nested tensor"
] | 10 | NONE | Summary: - Add cumsum support for NT
Test Plan: - added unit tests
Differential Revision: D68307097
| true |
2,817,016,949 | xpu: installed pytorch is missing aten xpu ops headers (ATen/ops/cat_xpu_dispatch.h and others) | dvrogozh | open | [
"module: binaries",
"module: build",
"triaged",
"module: xpu"
] | 12 | CONTRIBUTOR | With https://github.com/pytorch/pytorch/commit/635b98fa087fa21acfdf35e95e0f2c2f56064605.
As first noted in https://github.com/pytorch/pytorch/pull/132945#discussion_r1931407357, pytorch built with XPU backend is missing a range of ATen operator headers (missing installed: they are generated, but not actually installed... | true |
2,817,008,269 | [export] nested terms in nn_module_stack deserialization | pianpwk | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export"
] | 7 | CONTRIBUTOR | Summary: accounting for terms like "getattr(getattr(a[0], b), c)".
Test Plan: test_serialize
Differential Revision: D68784736
| true |
2,817,007,138 | DISABLED test_conv_backward_dynamic_shapes_cuda (__main__.DynamicShapesGPUTests) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_conv_backward_dynamic_shapes_cuda&suite=DynamicShapesGPUTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36309985985).
Over the past 3... | true |
2,817,003,010 | torch.compile + torch.autograd.grad: grad can be implicitly created only for scalar outputs | xmfan | open | [
"triaged",
"oncall: pt2",
"module: aotdispatch",
"module: dynamo",
"module: pt2-dispatcher"
] | 3 | MEMBER | ### 🐛 Describe the bug
```python
import torch
from torch import nn
class Model(nn.Module):
def __init__(self):
super().__init__()
self.a = nn.Linear(10, 10)
self.b = nn.Linear(10, 10)
self.c = nn.Linear(10, 10)
def forward(self, x):
ia = self.a(x)
ib = self.... | true |
2,816,990,621 | re-use FloorDiv for RShift | ColinPeppler | closed | [
"module: cpu",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | I encountered this C++ compilation error.
```
579 | int64_t var_6 = (static_cast<int64_t>(std::floor((1.0/2.0)*u0)) | static_cast<int64_t>(std::floor((1.0/4.0)*static_cast<int64_t>(std::floor((1.0/2.0)*u0))))) | std::floor((1.0/16.0)*(static_cast<int64_t>(std::floor((1.0/2.0)*u0)) | static_cast<int64_t>(std::fl... | true |
2,816,969,715 | [ONNX] Change constant folding and redundancies elimination to default in torch.onnx.export(..., dynamo=True) | titaiwangms | closed | [
"module: onnx",
"triaged",
"onnx-triaged"
] | 1 | COLLABORATOR | We should make the optimization a default setting, as it's more stable now.
https://github.com/pytorch/pytorch/blob/2f24f2eb46102381430777af2985b6af6e5d2cec/torch/onnx/_internal/exporter/_onnx_program.py#L119
cc @xadupre @justinchuby @gramalingam | true |
2,816,966,418 | [1/N][cp][example] flex attention in context parallel (forward pass) | XilunWu | closed | [
"oncall: distributed",
"Merged",
"topic: not user facing",
"ciflow/inductor",
"module: context parallel"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146397
* __->__ #145896
**Description**
This is an example of how FlexAttention can be used in a context parallel fashion. Right now it's only a flex_attention call with collectives added and has no load balancer, but we're about to add t... | true |
2,816,963,759 | [BE] reduce log spew from test_triton_kernels.py | davidberard98 | 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):
* __->__ #145895
One of the tests in this file was setting `self._logging.set_logs(output_code=True)` - which would cause logs to be printed for the rest of the tests in this file.
This PR puts the log-setting in a context manager so that the... | true |
2,816,958,058 | [Inductor-CPU] Add profiling support for codegened flex attention kernels | sanchitintel | closed | [
"open source",
"Merged",
"ciflow/trunk",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 6 | COLLABORATOR | ### Summary
`RECORD_FUNCTION` wasn't present in codegened Inductor-CPU Flex Attention C++ kernels, so flex attention kernels weren't present in the PyTorch profiler profiling data.
Fixes #145825 by adding `RECORD_FUNCTION` calls in the codegened flex-attention kernels.
### Caveat
#### _Before_
No correspon... | true |
2,816,931,142 | [PGNCCL] Correct some ifdef's | kwen2501 | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)",
"topic: not user facing"
] | 5 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145964
* __->__ #145893
`create` function supporting `ncclConfig_t` should be wrapped inside `NCCL_HAS_CONFIG` instead of `NCCL_HAS_COMM_NONBLOCKING`
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,816,914,454 | [dynamo][builtin-skipfiles-cleanup] remove abc, enum, importlib | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145804
* #145876
* #145909
* __->__ #145892
* #145878
* #145875
* #145856
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,816,909,919 | [cutlass backend] update try_import_cutlass to accomodate for pip install | henrylhtsang | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145891
The goal of this PR is to provide 3 ways for people to try out CUTLASS backend:
1. fbcode / internal
2. pip install torch (nightly) and pip install nvidia-cutlass
3. build from source
I will go into more detailed comb... | true |
2,816,900,868 | [CD][MacOS] Don't install `libuv` from conda | malfet | closed | [
"topic: not user facing",
"ciflow/binaries_wheel"
] | 5 | CONTRIBUTOR | As one can see from build logs, it's been build as part of TensorPipe dependency:
```
2025-01-28T21:22:21.8630760Z [3444/5234] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/random.c.o
2025-01-28T21:22:21.8731260Z [3445/5234] Building C object third_party/te... | true |
2,816,896,028 | [CD] Install OpenMP from homebrew | malfet | closed | [
"Merged",
"release notes: releng",
"topic: improvements",
"ciflow/binaries_wheel"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145889
* #145870
| true |
2,816,888,043 | [pytorch] raise exception when calling dim order on sparse tensor | Gasoonjia | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145888
This diff introduces a change to the PyTorch library that raises an exception when calling the `dim_order` method on a sparse tensor.
Differential Revision: [D68797044](https://our.internmc.facebook.com/intern/diff/D68797044/... | true |
2,816,882,504 | update aotdispatcher_inference_subclass_cpu results | davidberard98 | closed | [
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 10 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145887
The regression comes from https://github.com/pytorch/pytorch/pull/145420.
I'm not sure if there's a fixed way to determine what the new value should be - but I estimated a ~0.9% increase based on the last few days of ben... | true |
2,816,868,263 | [export] Add distributed tests | angelayi | closed | [
"fb-exported",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Test Plan: CI
Differential Revision: D68799386
| true |
2,816,867,600 | Hacky solution to bad interaction between AOTAutogradcache and Triton 3.1 | jamesjwu | closed | [
"Stale",
"topic: not user facing",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145885
| true |
2,816,864,295 | change the test wheel to release wheel when release wheel available | pytorchbot | closed | [
"open source"
] | 4 | COLLABORATOR | change the test wheel to release wheel when release wheel available
| true |
2,816,855,618 | Inductor: don't reuse buffer if it would increase peak memory | eellison | open | [
"triaged",
"oncall: pt2",
"module: inductor",
"internal ramp-up task"
] | 0 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
Inductor has a config `allow_buffer_reuse` which will reuse a dead Tensor in memory allocation if the Tensor matches the newly allocated # of bytes. In some cases, if we are reusing a buffer during peak memory, this can increase memory usage.
We should track current allocated... | true |
2,816,849,508 | bump counters for unbacked binding names | avikchaudhuri | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export"
] | 5 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145882
Instead of bumping symint counters when we process unbacked bindings during deserialization, it's better to bump them at the beginning based on what the symbols in the original shape env before serialization were. This allows ... | true |
2,816,788,137 | [dynamo][builtin-skipfiles-cleanup] Remove threading and multithreading | anijain2305 | closed | [
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* (to be filled)
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,816,788,004 | [dynamo][builtin-skipfiles-cleanup] Remove operator | anijain2305 | closed | [
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145804
* #145881
* __->__ #145880
* #145879
* #145878
* #145876
* #145875
* #145856
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amja... | true |
2,816,787,653 | [dynamo][bulitin-skipfiles-cleanup] Remove traceback | anijain2305 | closed | [
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145804
* #145881
* #145880
* __->__ #145879
* #145878
* #145876
* #145875
* #145856
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amja... | true |
2,816,782,063 | [dynamo][builtin-skipfiles-cleanup] Remove threading, _collections_abc, _weakrefset, threading | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145804
* #145876
* #145909
* #145892
* __->__ #145878
* #145875
* #145856
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,816,760,654 | [pytorch] Sprinkle in a few `template` keywords | VasuAgrawal | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 13 | CONTRIBUTOR | Summary:
These seem to be necessary to get compilation working on Windows with
CUDA 12.8. I'm not sure whether this means that all of the previous compilers
were broken, and the new one is better, or whether this is a regression in NVCC
12.8. Either way, as long as the CI passes for existing versions, this should
unblo... | true |
2,816,759,508 | [dynamo][builtin-skipfiles-cleanup] Remove copy | anijain2305 | closed | [
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145804
* __->__ #145876
* #145958
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,816,754,999 | [dynamo][builtin-skipfiles-removal] Remove logging | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145804
* #145876
* #145909
* #145892
* #145878
* __->__ #145875
* #145856
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8... | true |
2,816,715,796 | Use of broadcast_shapes() errors attempting to guard on symbolic nested int | jbschlosser | closed | [
"triaged",
"module: nestedtensor",
"oncall: pt2",
"module: dynamic shapes"
] | 0 | CONTRIBUTOR | Repro:
```python
import torch
torch._dynamo.config.capture_dynamic_output_shape_ops = True
torch._dynamo.config.capture_scalar_outputs = True
nt = torch.nested.nested_tensor([
torch.randn(2),
torch.randn(3),
torch.randn(4),
], layout=torch.jagged, device="cuda")
@torch.compile(fullgraph=True)
def f(t, m... | true |
2,816,697,644 | [WIP] Allow generation of inductor backend specific tests using instantiate_device_type_tests | kundaMwiza | open | [
"open source",
"module: inductor"
] | 2 | CONTRIBUTOR | This allows the creation of inductor backend specific test classes. Since this is an extension point for out of tree backends, it also allows out of tree backends to customise test instantiation to fit their backend / device.
To maintain backwards compatibility, `only_inductor_backends` defaults to `None` so that th... | true |
2,816,690,663 | [binary builds] Anaconda. Remove dependency on conda libuv module in MacOS and Windows nightly builds | atalman | closed | [
"oncall: releng",
"triaged",
"topic: binaries"
] | 6 | CONTRIBUTOR | ### 🐛 Describe the bug
Related to: https://github.com/pytorch/pytorch/issues/138506
In Windows and MacOS wheel builds we use libuv as build time dependency.
In Windows we use lubuv during nightly build:
.ci/pytorch/windows/condaenv.bat
On MacOS :
.ci/wheel/build_wheel.sh
.github/requirements/conda-env-macOS-ARM64
... | true |
2,816,690,584 | [CD] Install ninja and setuptools from PyPI | malfet | closed | [
"Merged",
"Reverted",
"topic: not user facing",
"ciflow/binaries_wheel",
"ci-no-td"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145889
* #145870
* __->__ #145871
As well as typing extensions, they are available from PyPI, no reason to install them from Anaconda | true |
2,816,679,092 | [CMake] Find HomeBrew OpenMP on MacOS | malfet | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"release notes: build",
"topic: improvements",
"ciflow/binaries_wheel",
"ci-no-td"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145889
* __->__ #145870
Either via `OMP_PREFIX` envvar or by searching in `/opt/homebrew/opt/libomp` folder
Modify libomp bundling logic in setup.py to change absolute path to libomp.dylib to a relative one if necessary | true |
2,816,676,523 | Compiled flex bias appears to not work at all | leijurv | open | [
"triaged",
"bug",
"oncall: pt2",
"module: higher order operators",
"module: pt2-dispatcher",
"module: flex attention"
] | 5 | NONE | ### 🐛 Describe the bug
```python
import torch
from torch.nn.attention.flex_attention import flex_attention
N_BATCH = 16
N_HEAD = 32
N_CTX = 4096
D_QK = 128
torch.set_default_device("cuda")
@torch.compile
def main():
q = torch.randn(N_BATCH, N_HEAD, N_CTX, D_QK, requires_grad=True)
k = torch.randn(N_BATCH,... | true |
2,816,661,559 | Fix code cache + freezing compile-time regression | masnesral | 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):
* __->__ #145868
Summary: The current implementation introduces a compile-time regression due to overhead hashing large constants. To support freezing+caching, we consider only the tensor metadata of frozen params, but we neglect to do the sam... | true |
2,816,653,998 | [triton] Update pin to tip of 3.2 release | bertmaher | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor",
"ci-no-td"
] | 13 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145867
| true |
2,816,650,624 | [pytorch][cuda] Improve softmax backward pass native CUDA implementation | ahmadsharif1 | closed | [
"Merged",
"ciflow/trunk",
"release notes: cuda"
] | 10 | CONTRIBUTOR | This PR is similar to https://github.com/pytorch/pytorch/pull/122970, but works on the softmax backward pass.
Specifically, it uses shared memory to cache the gradOutput when it can fit in shared memory. Before this PR we were reading gradOutput twice.
On my H100 this seems to improve the softmax backward pass pe... | true |
2,816,641,402 | [WIP] Add test_torchinductor_opinfo.py to triton-cpu tests | davidberard98 | closed | [
"Stale",
"ciflow/inductor",
"keep-going"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145865
I'm guessing this isn't going to pass, but I want to see how long the CI takes. | true |
2,816,546,277 | Segmentation fault at _rowwise_prune with convert_hf_to_gguf from llama.cpp | atmaranto | open | [
"module: crash",
"module: windows",
"triaged",
"module: 64-bit"
] | 2 | NONE | ### 🐛 Describe the bug
When converting the DeepSeek R1 LLAMA-70B distilled model to a GGUF file, the program [convert_hf_to_gguf.py](https://github.com/ggerganov/llama.cpp/blob/master/convert_hf_to_gguf.py) silently crashes. Attaching to WinDbg, it appears torch_cpu causes a segfault:
```
(cfd4.d19c): Access violati... | true |
2,816,540,796 | Cleanup VS 2019 refs in pytorch | Camyll | closed | [
"Merged",
"ciflow/binaries",
"ciflow/trunk",
"release notes: releng",
"test-config/default"
] | 10 | CONTRIBUTOR | Related to: https://github.com/pytorch/pytorch/issues/128835
Follow up on PR: https://github.com/pytorch/pytorch/pull/145319 | true |
2,816,533,217 | Extend abi-stable nitpick message to all the c stable files | albanD | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | COLLABORATOR | null | true |
2,816,532,662 | CPU Model compile not working for flexattention | tpopok | closed | [
"oncall: pt2",
"oncall: cpu inductor"
] | 6 | NONE | ### 🐛 Describe the bug
Use CPU model (i.e., CUDA_VISIBLE_DEVICES=-1) to run the following code will throw error.
```
from torch.utils.data import DataLoader, Dataset
import torch
from torch import nn
from torch.nn.attention.flex_attention import flex_attention, create_block_mask, _create_empty_block_mask, BlockMask
... | true |
2,816,490,704 | [ONNX] Support subgraphs with 1+ outputs | justinchuby | closed | [
"module: onnx",
"open source",
"Merged",
"ciflow/trunk",
"release notes: onnx",
"topic: bug fixes"
] | 14 | COLLABORATOR | Fixed a bug in _handle_output_node where additional output values were not added as graph outputs
Fixes #145734 | true |
2,816,456,758 | [be][pytorch] Fix backend in autocast | nautsimon | closed | [
"fb-exported",
"module: amp (automated mixed precision)",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | MEMBER | Summary: fixing backend typo (BAKCNEDS -> BACKENDS)
Test Plan: ci
Differential Revision: D68573324
cc @mcarilli @ptrblck @leslie-fang-intel @jgong5 | true |
2,816,409,441 | Copy model before benchmark warmup runs | angelayi | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 5 | CONTRIBUTOR | Fixes https://github.com/pytorch/pytorch/issues/144772
The eager warmup runs causes the model to change state so that later when we export it, the model is different than when we export it directly out of box. For some reason exporting the model with the changed state causes issues but exporting the inital model is ... | true |
2,816,401,864 | [export] don't always print GM in serdes logging | pianpwk | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export"
] | 4 | CONTRIBUTOR | Summary: Didn't realize print_readable() would also print and not just return string
Test Plan: .
Differential Revision: D68781525
| true |
2,816,393,274 | [dynamo][builtin-skipfiles-cleanup] Remove some builtins | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145804
* #145876
* #145909
* #145892
* #145878
* #145875
* __->__ #145856
[dynamo][builtin-skipfiles-cleanup] Remove more builtins
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv ... | true |
2,816,339,309 | [c10d][ez] Remove goto in PGNCCL and make linter happy for PGNCCL and NCCLUtils | fduwjj | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145855
While working on PGNCCL I found that the code triggers some lint warnings so this PR is to address them or add lint suppressor.
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,816,289,764 | [c10d][UCC] Support coalesing in `c10d::ProcessGroupUCC` through alltoallv | samnordmann | closed | [
"oncall: distributed",
"triaged",
"open source",
"Stale",
"release notes: distributed (c10d)"
] | 3 | CONTRIBUTOR | # What
Add support for coalescing communication in `ProcessGroupUCC`, by implementing the methods `startCoalescing` and `endCoalescing`.
We need to impose several restrictions to the coalesced group:
1) we can only coalesce `send` and `recv` ops
2) we can only coalesce one `send` and one `recv` maximum per pair ... | true |
2,816,265,454 | cmake: fix detection logic when using system XNNPACK | Harry-Chen | open | [
"triaged",
"open source",
"Stale",
"topic: not user facing"
] | 6 | NONE | This commit makes the following improvements:
* The "elseif" branch now only runs when USE_XNNPACK is set.
* Use "REQUIRED" to enforce the existence of XNNPACK libraries, and remove the erroneous if statement ('or' should be 'OR').
* libmicrokernels-prod is built statically in XNNPACK [1], change in pytorch side a... | true |
2,816,243,859 | RecursionError: maximum recursion depth exceeded in comparison | vpandya-quic | open | [
"triaged",
"oncall: pt2",
"module: dynamic shapes",
"module: inductor"
] | 3 | NONE | ### 🐛 Describe the bug
Running following small tests results in recursion
```py
def test_a():
def process_tensors(
in_ptr0, in_ptr1, in_ptr2, in_ptr3, in_ptr4, out_ptr0, out_ptr1
):
for x0 in range(32):
for x1 in range(6):
for x2 ... | true |
2,816,210,050 | FIRE Relative Positional Encodings | kaddu341 | open | [
"module: nn",
"triaged"
] | 2 | NONE | ### 🚀 The feature, motivation and pitch
Hi,
I'm currently working on the length generalization capabilities of transformers. As shown by Zhou et al. (https://arxiv.org/abs/2402.09371), FIRE positional encodings are excellent for this purpose as they can yield generalization results up to 2.5x the input length (in co... | true |
2,816,207,018 | Skip search for MKL on ARM cpus | malfet | closed | [
"Merged",
"Stale",
"ciflow/trunk",
"topic: not user facing"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145850
It will not find it anyway and makes a bit easier parsing thru CMake log on non-x86 systems | true |
2,816,206,849 | [BE] Include CheckFunctionExists in `FindBLAS.cmake` | malfet | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145850
* __->__ #145849
It's used in the script, so it must be included | true |
2,816,179,114 | Integrate sympy expression provenance logging with structured logs | bobrenjc93 | closed | [
"Merged",
"ciflow/trunk",
"release notes: fx",
"topic: not user facing",
"fx",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145848
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,816,159,985 | Guard the CPU cpp wrapper tests on having a cpp wrapper | charlie-wt | open | [
"triaged",
"open source",
"topic: not user facing",
"module: inductor"
] | 12 | CONTRIBUTOR | Since they're the CPU CPP wrapper tests, they should only run if the CPU backend we're using has a CPP wrapper.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chau... | true |
2,816,086,780 | [async-TP] Fix scheduling in matmul+reduce-scatter for 2 ranks | lw | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | CONTRIBUTOR | There's a sleep that is issued in order to "nudge" CUDA to do the right scheduling decision, but this is issued on iteration number 2. However, when the world size is 2, we never reach that iteration, which led to a suboptimal scheduling.
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @... | true |
2,816,074,248 | [OSS] Add kwargs to fsspec reader/writer | ankitageorge | closed | [
"oncall: distributed",
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 8 | CONTRIBUTOR | Summary: Add kwargs to fsspec reader/writer. This will be used when reading/writing from huggingface because it needs a token to access the repositories
Test Plan: https://fburl.com/anp/agkrlas1 ability to read write to hf with fsspec
Differential Revision: D68738777
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @... | true |
2,816,067,692 | Move trunk windows builds to CUDA-12.4 | atalman | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Same as : https://github.com/pytorch/pytorch/pull/130446
That should catch build regressions that were previously only detectable during the nightly builds for 12.4
| true |
2,816,065,231 | WIP OpenVINOQuantizer | daniil-lyakhov | closed | [
"open source",
"release notes: quantization",
"release notes: AO frontend"
] | 1 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
| true |
2,815,970,732 | [MTIA][FSDP2] Enable MTIA device in FSDP2 library code | jvandebon | closed | [
"oncall: distributed",
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: distributed (fsdp)",
"ciflow/inductor"
] | 13 | CONTRIBUTOR | Differential Revision: D68560256
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,815,909,429 | clamp_min did not work | moghadas76 | closed | [
"needs reproduction"
] | 2 | NONE | ### 🐛 Describe the bug
```python
import numpy as np
import torch
file = np.load("tensor.zip")
tensor = torch.from_numpy(file.f.arr_0)
print(tensor)
print(tensor.shape)
print(torch.ge(tensor.clamp_min(1e-6), 0.0).all())
print(torch.ge(tensor.abs()+0.01, 0.0).all())
# print(torch.ge(tensor.abs()+0.01, 0.0).all())
`... | true |
2,815,877,292 | s390x ci: ensure CI starts correctly if token pipe is not removed | AlekseiNikiforovIBM | closed | [
"triaged",
"open source",
"Merged",
"topic: not user facing"
] | 3 | COLLABORATOR | Mark stop actions as "may fail".
Container is expected to stop on it's own in normal case.
Remove "may fail" mark from token generation steps. | true |
2,815,772,955 | [ATen] Implement exception handling for hipsolver APIs | danzimm | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 5 | CONTRIBUTOR | Summary: TSA
Test Plan: CI
Differential Revision: D68741194
| true |
2,815,706,878 | [typing] Not all operators correctly infer Tensor result. | randolf-scholz | closed | [
"module: typing",
"triaged",
"better-engineering",
"needs design"
] | 2 | CONTRIBUTOR | ### 🐛 Describe the bug
<details> <summary> Static Typing Test suite </summary>
```python
# mypy: enable-error-code="unused-ignore"
import operator
import torch
from torch import Tensor
from typing_extensions import assert_type, reveal_type
x = torch.randn(3)
assert_type(x, Tensor)
i64: int = 2
f64: float = 3.14
... | true |
2,815,599,877 | torch.nested.narrow() or torch.nested.to_padded_tensor() breaks backwards pass - invalid gradient | kkj15dk | open | [
"triaged",
"module: nestedtensor"
] | 4 | NONE | ### 🐛 Describe the bug
I am converting a jagged nested tensor to a padded tensor, then adding Rotary positional embeddings, then converting it back to a jagged tensor. The forward pass is just fine, but the backwards pass breaks. It is probably because the offsets object changes throughout the forward pass, but I can... | true |
2,815,574,245 | DISABLED test_op_dtype_propagation_bitwise_xor_cuda_int64 (__main__.TestCaseCUDA) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_op_dtype_propagation_bitwise_xor_cuda_int64&suite=TestCaseCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36265413881).
Over the past ... | true |
2,815,512,350 | s390x: disable test_model_exports_to_core_aten.py test | AlekseiNikiforovIBM | closed | [
"triaged",
"open source",
"Merged",
"topic: not user facing",
"ciflow/s390"
] | 3 | COLLABORATOR | It often gets killed by OOM.
Disable it while investigating.
| true |
2,815,457,152 | [inductor] Add features to docstring_linter (see #142496) | rec | closed | [
"module: lint",
"open source",
"better-engineering",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"suppress-api-compatibility-check",
"suppress-bc-linter"
] | 11 | COLLABORATOR | ## Improvements to `docstring_linter`
* Add a "grandfather list" of existing undocumented classes and functions (`--grandfather`, `--grandfather-tolerance`, `--no-grandfather`, `--write-grandfather`)
* In classes, now just one of the class itself or its `__init__()` method needs to be documented (`--lint-init` turn... | true |
2,815,247,667 | Implement KL for studentT | moghadas76 | closed | [
"triaged",
"open source",
"Stale"
] | 3 | NONE | Fixes #145729
| true |
2,815,213,433 | [DO NOT MERGE] [TESTING] [ROCm] Triton cherry-picks for AMD backend perf optimisation | jataylo | closed | [
"module: rocm",
"open source",
"ciflow/trunk",
"topic: not user facing",
"ciflow/periodic",
"ciflow/inductor",
"ciflow/rocm",
"ciflow/inductor-rocm"
] | 7 | COLLABORATOR | Testing for rc/3.2.x PR
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @hongxiayang @naromero77amd | true |
2,815,123,002 | Update ET pin to 41e7ffa | GregoryComer | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 9 | MEMBER | ExecuTorch pin is failing to update due to a change in the executorch install scripts. The previous install_requirements.sh now only installs dependencies and does not build ET. There is a new script - install_executorch.sh, which both installs dependencies and builds the framework.
This PR updates the relevant CI l... | true |
2,815,109,705 | DISABLED test_cat_max_autotune_triton (__main__.TestMaxAutotune) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 8 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_cat_max_autotune_triton&suite=TestMaxAutotune&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36261282178).
Over the past 3 hours, it has b... | true |
2,815,054,139 | Ensure GPU isolation for kubernetes pod MI300 runners. | saienduri | closed | [
"module: rocm",
"open source",
"Merged",
"topic: not user facing",
"rocm",
"ciflow/unstable",
"ciflow/rocm"
] | 4 | CONTRIBUTOR | Fixes the reason behind moving the tests to unstable initially. (https://github.com/pytorch/pytorch/pull/145790)
We ensure gpu isolation for each pod within kubernetes by propagating the drivers selected for the pod from the Kubernetes layer up to the docker run in pytorch here.
Now we stick with the GPUs assigned to... | true |
2,814,806,838 | [dynamo][builtin-skipfiles-cleanup] Remove posixpath | 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):
* #145559
* #145804
* __->__ #145828
* #145826
* #145753
* #145744
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,814,801,658 | What changed in torch 2.5.0 that cause photomaker to fail? | CaledoniaProject | open | [
"needs reproduction",
"triaged"
] | 3 | NONE | ### 🐛 Describe the bug
Hi there,
I came from this issue https://github.com/TencentARC/PhotoMaker/issues/205.
I'm playing around with PhotoMaker, and I found their IP adapter failed to work with latest torch (2.5.X). But when I downgrade the pytorch version to 2.4.1 it worked.
So I suspect something changed fundam... | true |
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