id int64 2.74B 3.05B | title stringlengths 1 255 | user stringlengths 2 26 | state stringclasses 2
values | labels listlengths 0 24 | comments int64 0 206 | author_association stringclasses 4
values | body stringlengths 7 62.5k ⌀ | is_title bool 1
class |
|---|---|---|---|---|---|---|---|---|
3,036,986,245 | [export] add serialized_artifact test | ydwu4 | open | [
"fb-exported",
"ciflow/inductor",
"release notes: export"
] | 2 | CONTRIBUTOR | Summary: This diff adds a EXPECTTEST_ACCEPT_ARTIFACT environment variable for test_serialize. When set to 1, it will save the ep to serialized_artifact and override existing saved artifact then load the saved artifact. When set to 0, it will just look up existing stored artifact and compare with the newly exported arti... | true |
3,036,972,173 | [BE][Cleanup][Dynamo] Stop logging entire_frame_compile_time_s | Raymo111 | open | [
"better-engineering",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"dynamo-logging"
] | 6 | MEMBER | Note: Additional (whitespace) changes are from lintrunner.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
3,036,970,567 | [BE][MPS] Pass `alpha` by reference | malfet | closed | [
"Merged",
"topic: not user facing",
"ciflow/mps"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152743
* __->__ #152737
* #152515
As it's always a scalar | true |
3,036,951,809 | [MPS] TensorIterator and accuracy | malfet | open | [
"triaged",
"enhancement",
"module: mps"
] | 1 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
To capture followups from https://github.com/pytorch/pytorch/pull/152515 namely:
- How and when opmath_t should be used: I can't think of a scenario, when it would've been needed for simple ops like add/sub, but I've noticed it's caused accuracy issues in test_output_grad_matc... | true |
3,036,931,166 | [ca][ddp] loud error instead of silent incorrectness under C++ Reducer | xmfan | open | [
"oncall: distributed",
"release notes: distributed (c10d)",
"module: inductor",
"ciflow/inductor"
] | 1 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152735
* #152689
C++ Reducer is silently incorrect under CA, its implementation is no-oping the collective. I'm guessing that it was no-op'd because in DDP + python reducer, the C++ reducer is still being initialized.
cc @H-Huang... | true |
3,036,839,797 | docs: fix dead link in torch.compile docs | aniruddh-alt | open | [
"triaged",
"open source",
"topic: not user facing"
] | 6 | NONE | Fixes #119272
This PR fixes a dead link in the `torch.compile` documentation. The original link to the "Registering Custom Backends" section was:
https://pytorch.org/docs/main/torch.compiler_custom_backends.html#registering-custom-backends
This has been updated to the correct and stable URL:
https://pytorch... | true |
3,036,829,756 | [Cutlass] Handle broadcasting in EVT python codegen | mlazos | closed | [
"Merged",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152815
* #150907
* #151406
* #150906
* __->__ #152733
Previously merged:
* #151713
* #151405
* #150905
* #152306
* #152305
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nr... | true |
3,036,829,387 | Make DispatchKeySet serializable; add `__eq__` | zou3519 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152732
These seem like reasonable things to add. Also fixes a bug in vLLM for
me.
Test Plan:
- new tests | true |
3,036,824,020 | Inconsistent float16 overflow behavior between CPU and CUDA devices | SilentTester73 | open | [
"module: cuda",
"low priority",
"triaged",
"module: half",
"actionable",
"module: edge cases"
] | 3 | NONE | ### 🐛 Describe the bug
## Issue Description
There appears to be inconsistent behavior in how PyTorch handles float16 overflow conditions between CPU and CUDA devices. When performing `torch.add()` with an extremely large alpha value (beyond float16 range) on float16 tensors, CPU correctly throws an overflow error whi... | true |
3,036,809,687 | [Dynamo] Guard serialization for SEQUENCE_LENGTH | jbschlosser | 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):
* #152729
* #152961
* #152872
* #152865
* __->__ #152730
* #152728
* #152727
* #152725
Tests only; no other changes needed. Test logic uses a tuple function input to trigger installation of a SEQUENCE_LENGTH guard.
cc @voznesenskym @penguinw... | true |
3,036,809,593 | [Dynamo] Guard serialization for BUILTIN_MATCH | jbschlosser | open | [
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152729
* #152961
* #152872
* #152865
* #152730
* #152728
* #152727
* #152725
Unsupported because it uses unsupported FUNCTION_MATCH guard.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzh... | true |
3,036,784,151 | [Dynamo] Guard serialization for CLOSURE_MATCH | jbschlosser | 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):
* #152729
* #152961
* #152872
* #152865
* #152730
* __->__ #152728
* #152727
* #152725
Unsupported because it uses unsupported FUNCTION_MATCH.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng ... | true |
3,036,784,076 | [Dynamo] Guard serialization for FUNCTION_MATCH | jbschlosser | 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):
* #152729
* #152961
* #152872
* #152865
* #152730
* #152728
* __->__ #152727
* #152725
Unsupported because it uses unsupported ID_MATCH.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzh... | true |
3,036,771,036 | Improve error wording in _link_check.yml | shoumikhin | closed | [
"Merged",
"topic: not user facing"
] | 3 | CONTRIBUTOR | null | true |
3,036,740,597 | [Dynamo] Guard serialization for NN_MODULE | jbschlosser | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 13 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152729
* #152961
* #152872
* #152865
* #152730
* #152728
* #152727
* __->__ #152725
Throws an error when attempting to serialize an NN_MODULE guard. It is not supported because it uses the unsupported ID_MATCH guard (#152330):
https://g... | true |
3,036,707,916 | [Dynamo] Guard serialization for CONSTANT_MATCH | jbschlosser | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 9 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152961
* #152729
* #152872
* #152865
* #152730
* #152728
* #152727
* #152725
* __->__ #152724
* #152704
This PR adds testing only; no non-test changes were needed.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSu... | true |
3,036,686,641 | [dynamo] Guard serialization for DICT_KEYS_MATCH | zhxchen17 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152723
* #152721
* #152716
* #152687
* #152616
* #152615
DICT_KEYS_MATCH
Differential Revision: [D74091886](https://our.internmc.facebook.com/intern/diff/D74091886/)
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @Xia... | true |
3,036,674,378 | Data dependent free reshape | laithsakka | open | [] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152722
* #148872
```
import torch
# reshape (u0, u1) -> (u3, u4)
@torch.compile(fullgraph=True, dynamic=False)
def func2(x, y):
t = torch.reshape(x, (y.size()[0],y.size()[0]))
return t
x = torch.arange(8)
x = x... | true |
3,036,670,168 | [dynamo] Guard serialization for MAPPING_KEYS_CHECK | zhxchen17 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152723
* __->__ #152721
* #152716
* #152687
* #152616
* #152615
MappingProxyType
Differential Revision: [D74091363](https://our.internmc.facebook.com/intern/diff/D74091363/)
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @Xi... | true |
3,036,641,460 | When scoped_libary is destroyed the fake impls are not cleared | ydwu4 | open | [
"triaged",
"module: custom-operators",
"oncall: pt2",
"module: pt2-dispatcher"
] | 2 | CONTRIBUTOR | ### 🐛 Describe the bug
```python
import torch
with torch.library._scoped_library("mylib", "FRAGMENT") as lib:
torch.library.define(
"mylib::foo",
"(Tensor a, Tensor b, Tensor? c) -> (Tensor, Tensor?)",
tags=torch.Tag.pt2_compliant_tag,
lib=lib,
)
@torch.library.register_f... | true |
3,036,633,074 | [BE][CI] Merge regular and MPS test config shards | malfet | open | [
"ciflow/trunk",
"topic: not user facing",
"ciflow/mps"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152719
* #153057
Unsure why there were separate to beging with | true |
3,036,631,800 | [Mergebot] Adding ciflow/pull in PR without pull and lint workflows | huydhn | open | [
"module: ci",
"triaged"
] | 1 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
To help mitigate https://github.com/pytorch/pytorch/issues/152697, we now have `ciflow/pull` from https://github.com/pytorch/pytorch/pull/152567 to trigger the missing pull and lint workflows manually. The logical next step here is to let mergebot does this instead:
* When `@... | true |
3,036,623,131 | Cannot mask a DTensor | pbontrager | open | [
"oncall: distributed",
"triaged",
"module: dtensor"
] | 1 | NONE | ### 🐛 Describe the bug
I'm attempting to mask a sharded d_tensor and everything that I've tried has failed so far. I have a DTenosr sharded on the last dim and I create a boolean mask to select a subset of the tensor (selecting from earlier dims not the sharded dim). I have tried to select using both a local mask and... | true |
3,036,621,496 | [dynamo] Guard serialization for WEAKREF_ALIVE | zhxchen17 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152723
* #152721
* __->__ #152716
* #152687
* #152616
* #152615
Punt on WEAREF_ALIVE as weakref won't live across the process and users might need to drop them upfront.
Differential Revision: [D74088735](https://our.internmc.facebook.com/i... | true |
3,036,606,408 | [BE] remove outdated warning about TORCH_CUDA_ARCH_LIST | janeyx99 | closed | [
"Merged",
"ciflow/trunk",
"release notes: build"
] | 3 | CONTRIBUTOR | I saw this warning when compiling a 3rd party lib and did not agree with it. I'm not sure the original reason why we would want to force people to pass in TORCH_CUDA_ARCH_LIST to cmake vs set it as an env var. As a developer, it's much easier to set it as an env var or have it be autodetected. I also realized this warn... | true |
3,036,602,619 | [caffe2] Make c10::str works with scoped enum (#152705) | Mizuchi | open | [
"fb-exported",
"ciflow/trunk",
"topic: not user facing"
] | 5 | NONE | Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/152705
Test Plan:
```
buck2 test fbcode//caffe2/c10/test:util_base_tests --fail-fast
```
Differential Revision: D74087796
| true |
3,036,590,673 | remove conda from devcontainer | wdvr | open | [
"topic: not user facing"
] | 1 | CONTRIBUTOR | Fixes #148341
| true |
3,036,580,692 | dtensors TP+DP issues | NouamaneTazi | closed | [
"oncall: distributed"
] | 4 | NONE | ## 🐛 Bug/Feature Request: Issues with DTensor, Replicate, and Cross-Mesh AllReduce in PyTorch 2.6
**PyTorch version:** 2.6.0+cu124
**Setup:** TP=2, DP=2
**APIs used:** `torch.distributed._composable.replicate`, DTensor, DeviceMesh
### Summary
I'm experimenting with minimal tensor parallel (TP) and data parallel... | true |
3,036,578,350 | Rename "startup-tracing-compile" to "compile-time" in label_to_label.yml | masnesral | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152711
| true |
3,036,570,904 | [FSDP2] NO_SHARD as fully_shard(mesh=(Replicate, Shard)) with shard of world size 1 | weifengpy | open | [
"oncall: distributed",
"triaged"
] | 4 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
FSDP1 has NO_SHARD, meaning no all-gather/reduce-scatter, just all-reduce for gradients. It's useful to handle modules with low flops or small number of parameters
FSDP2/HSDP2 can support the same with a 2D device mesh
* fully_shard(mesh=(Replicate, Shard))
* Shard world size ... | true |
3,036,564,502 | Move warning from item to specific number conversions | albanD | closed | [
"Merged",
"ciflow/trunk",
"release notes: python_frontend",
"topic: improvements"
] | 3 | COLLABORATOR | Follow up to https://github.com/pytorch/pytorch/pull/143261 to not warn when a plain .item() is done. | true |
3,036,559,781 | Scheduler Flops refactor | exclamaforte | open | [
"topic: improvements",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 2 | CONTRIBUTOR | This refactors `estimate_flops` and `get_estimated_runtime` on scheduler nodes:
1. New function on BaseSchedulerNode: `estimate_flops`. Works with all types of ir nodes now, not just `ExternalKernels`.
1. Extends `get_estimated_runtime` to work with non-`ExternalKernels`.
Prelude to: https://github.com/pytorch/pyt... | true |
3,036,551,436 | [Memento] Add PT2 to Memory Snapshot | sraikund16 | open | [
"enhancement",
"fb-exported",
"release notes: profiler",
"module: dynamo"
] | 5 | CONTRIBUTOR | Summary:
To add PT2 information to memory snapshot we piggyback off of the Kineto implementation using record_function similar to adding the user annotations. To do this we add the following:
1. Stack implementation that we instantiate to keep track of which compile context stack we are currently in (top element of... | true |
3,036,547,129 | [PGNCCL] Add FP8 support | kwen2501 | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 10 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152706
NCCL added support for `Float8e4m3` and `Float8e5m2` in 2.24.
NVIDIA GPUs does not seem to support the following "no negative zero" versions: `Float8_e4m3fnuz` and `Float8_e5m2fnuz`, see https://onnx.ai/onnx/technical/floa... | true |
3,036,518,703 | [caffe2] Make c10::str works with scoped enum | Mizuchi | closed | [
"fb-exported",
"topic: not user facing"
] | 6 | NONE | Test Plan:
```
buck2 test fbcode//caffe2/c10/test:util_base_tests --fail-fast
```
Differential Revision: D73872860
| true |
3,036,517,292 | [Dynamo] Guard serialization for EQUALS_MATCH | jbschlosser | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 10 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152961
* #152729
* #152872
* #152865
* #152730
* #152728
* #152727
* #152725
* #152724
* __->__ #152704
This PR:
* Makes no changes to non-test code to support serialization for EQUALS_MATCH
* Adds test logic involving a custom-defined c... | true |
3,036,509,818 | Gradient can be backpropagated through only certain distributions | AlbertoSinigaglia | closed | [
"module: distributions",
"module: autograd",
"triaged"
] | 4 | NONE | ### 🐛 Describe the bug
Using Normal, I can avoid having to preserve gradients:
```python
params = torch.tensor([[0.2], [0.3]]).float().to(device)
params.requires_grad = True
with torch.no_grad():
distr = torch.distributions.normal.Normal(params, params*0+1)
sample = distr.sample().squeeze()
distr.log_prob(sam... | true |
3,036,507,871 | Removing conda references from PyTorch Docs | anitakat | open | [
"topic: not user facing"
] | 3 | NONE | Addresses #148339
| true |
3,036,502,874 | MPS internal assertion with jacfwd and concatenation | inventshah | open | [
"module: crash",
"triaged",
"module: mps",
"module: functorch"
] | 2 | CONTRIBUTOR | ### 🐛 Describe the bug
Using `torch.func.jacfwd` on a function that contains a concatenation type operator (e.g., `torch.stack`, `torch.cat`, `torch.vstack`) triggers an assertion ```RuntimeError: !self.is_mps() INTERNAL ASSERT FAILED at "/Users/runner/work/pytorch/pytorch/pytorch/aten/src/ATen/native/TensorShape.cpp... | true |
3,036,492,056 | DISABLED test_2d_mlp_with_nd_mesh (__main__.TestFullyShardNDTraining) | jithunnair-amd | open | [
"module: rocm",
"triaged",
"skipped"
] | 1 | COLLABORATOR | Platforms: rocm
This test was disabled because it is failing on main branch (on MI200s only) ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22distributed%2F_composable%2Ffsdp%2Ftest_fully_shard_training.py%3A%3ATestFullyShardNDTraining%3A%3Atest_2d_mlp_with_nd_mesh%22%5D)).
Initial analysis indic... | true |
3,036,490,757 | [CI] [anaconda] Triton windows build | atalman | open | [
"module: ci",
"triaged",
"better-engineering"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
Related to https://github.com/pytorch/pytorch/issues/138506
CI Build and Test scripts to replace:
.github/scripts/windows/build_triton.bat
We would like to remove Anaconda build dependency
### Versions
2.8.0
cc @seemethere @malfet @pytorch/pytorch-dev-infra | true |
3,036,489,281 | [ez] Disable failing test in periodic no gpu no avx | clee2000 | closed | [
"Merged",
"topic: not user facing",
"ciflow/periodic",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Failing on periodic after it was added in #152542
Ex
inductor/test_cpu_repro.py::CPUReproTests::test_tanh_atan2_use_decompose_tanh [GH job link](https://github.com/pytorch/pytorch/actions/runs/14775755628/job/41485185829) [HUD commit link](https://hud.pytorch.org/pytorch/pytorch/commit/6f6acb412828844ee3bcdbf27728314... | true |
3,036,467,369 | CI workflows being skipped on PR | wdvr | open | [
"module: ci",
"triaged"
] | 1 | CONTRIBUTOR | ## Issue
PRs are not always running all CI workflows, preventing merges in some cases. If this happens, you will typically see @pytorchmergebot job errors like
> Merge of XYZ failed due to: 2 mandatory check(s) are pending/not yet run. The first few are:
> - Lint
> - pull
Or no CI being ran at all.
## Current Sta... | true |
3,036,466,534 | torch._foreach_pow(DTensor, float) and torch._foreach_pow_(DTensor, float) do not work | dbusbridge | open | [
"oncall: distributed",
"module: dtensor"
] | 0 | NONE | ### 🐛 Describe the bug
```python
import os
import torch
import torch.distributed as dist
from torch.distributed.tensor.device_mesh import init_device_mesh
from torch.distributed.tensor.placement_types import Shard
from torch.distributed.tensor import distribute_tensor
os.environ["RANK"] = "0"
os.environ["WORLD_SIZE"... | true |
3,036,463,335 | set CUDA_MODULE_LOADING for older drivers only | ptrblck | open | [
"module: cuda",
"open source",
"ciflow/trunk",
"topic: not user facing"
] | 2 | COLLABORATOR | `CUDA_MODULE_LOADING=LAZY` is the default for all drivers shipped with CUDA >=12.2 and we should check the driver version before setting the env variable.
(the `LOG(WARNING)` has to be removed before merging)
cc @msaroufim @eqy @jerryzh168 | true |
3,036,432,230 | [reland] Detailed triton kernel logging | jamesjwu | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"ci-no-td"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152694
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
3,036,427,761 | [ez] Fsspec Filesystem ls details should be false | ankitageorge | closed | [
"oncall: distributed",
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"release notes: distributed (checkpoint)",
"skip-url-lint",
"ciflow/pull"
] | 6 | CONTRIBUTOR | Summary: The default action for ls for the local filesystem is with details=False, but this isn't the case for all filesystems (eg. huggingface), so setting details=False explicitly so that the return type of ls is a list of strings, and not a list of dictionaries, which is what it would be with details=True.
Test Pla... | true |
3,036,392,523 | [aotinductor] Don't alloc weights if they don't exist | angelayi | closed | [
"Merged",
"ciflow/trunk",
"module: inductor",
"ciflow/inductor",
"release notes: inductor (aoti)"
] | 16 | CONTRIBUTOR | Fixes https://github.com/pytorch/pytorch/issues/152356
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
3,036,299,567 | inductor-periodic failures 5/2/2025 | zou3519 | closed | [
"high priority",
"oncall: pt2"
] | 2 | CONTRIBUTOR | See https://hud.pytorch.org/hud/pytorch/pytorch/main/1?per_page=50&name_filter=inductor-periodic&mergeEphemeralLF=true
- hf_BigBird (dynamic_inductor) went from fail_to_run to fail_accuracy. This is silent incorrectness.
- hf_BigBird (dynamo) went from 0 to 9 graph breaks
@ydwu4 @BoyuanFeng your PRs look the most sus... | true |
3,036,273,849 | Add sm_86 (Ampere) and sm_89 (Ada) SASS in aarch64 builds | agirault | open | [
"module: build",
"module: cuda",
"triaged",
"module: arm",
"module: jetson"
] | 8 | NONE | ### 🚀 The feature, motivation and pitch
### Request
Add SASS support for sm_86 and sm_89 to the aarch64 (sbsa) wheels
### Motivation
Support [NVIDIA IGX](https://www.nvidia.com/en-us/edge-computing/products/igx/) (aarch64) with discrete GPU in the same build as the SBSA wheels. The IGX supports the NVIDIA A6000 (A... | true |
3,036,271,444 | [ca][dtensor] run real PG dtensor tests under CA | xmfan | open | [
"oncall: distributed",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 1 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152735
* __->__ #152689
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @mu... | true |
3,036,267,564 | Add a test for AsyncCollectiveTensor handling for maybe-view ops | bdhirsh | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | CONTRIBUTOR | We never added a proper test for the fix from https://github.com/pytorch/pytorch/pull/134661
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151719
* __->__ #152688
* #152195
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k | true |
3,036,208,882 | [dynamo] Guard serialization for DUPLICATE_INPUT. | zhxchen17 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152723
* #152721
* #152716
* __->__ #152687
* #152616
* #152615
Seems this guard is not very active. Adding a test to detect error handling at least.
Differential Revision: [D74074837](https://our.internmc.facebook.com/intern/diff/D7407... | true |
3,036,051,276 | Avoid triggering ignored requires_grad warning in our code | albanD | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"release notes: python_frontend",
"topic: improvements",
"ci-no-td"
] | 9 | COLLABORATOR | This one is ok to silence as we're just doing formatting
| true |
3,036,022,416 | torch.library.custom_op string support | zou3519 | open | [
"triaged",
"module: custom-operators",
"oncall: pt2",
"module: pt2-dispatcher"
] | 0 | CONTRIBUTOR | guess we don't have it yet
cc @chauhang @penguinwu @bdhirsh | true |
3,035,959,967 | DISABLED test_comprehensive_select_scatter_cuda_float16 (__main__.TestInductorOpInfoCUDA) | pytorch-bot[bot] | open | [
"high priority",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: inductor
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_comprehensive_select_scatter_cuda_float16&suite=TestInductorOpInfoCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/41529115784).
Ov... | true |
3,035,930,537 | Flex attention strides | ngc92 | open | [
"triaged",
"oncall: pt2",
"module: higher order operators",
"module: pt2-dispatcher",
"module: flex attention"
] | 0 | NONE | ### 📚 The doc issue
The [FlexAttention](https://pytorch.org/docs/stable/nn.attention.flex_attention.html#module-torch.nn.attention.flex_attention) docs nicely document the expected shapes of inputs, but does not specify anything about stride. In contrast, for example cuDNN [documents](https://docs.nvidia.com/deeplear... | true |
3,035,821,321 | Update the signature and test of torch.hamming_window() | ILCSFNO | open | [
"triaged",
"open source",
"release notes: python_frontend"
] | 5 | CONTRIBUTOR | Fixes #146590
| true |
3,035,748,666 | Fix signature of torch.sparse_coo_tensor() | ILCSFNO | open | [
"triaged",
"open source",
"release notes: sparse"
] | 3 | CONTRIBUTOR | Fixes #145371
@pearu Searched all and find these codes, wondering whether is the root cause of the issue, could you have a review? Thanks a lot!
| true |
3,035,567,377 | Add pad limit of avg_poolnd and AvgPoolnd | ILCSFNO | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: nn"
] | 4 | CONTRIBUTOR | Fixes #152156
| true |
3,035,423,880 | [RFC] Universal Device Context and Safe GPU/CPU Execution Decorators | Tunahanyrd | open | [
"triaged",
"enhancement",
"needs research",
"module: python frontend"
] | 2 | NONE | ### Feature
I propose a small but useful utility package named `cuda_tools` that provides:
- A `DeviceContext` context manager for clean device/AMP/cache handling
- Simple and advanced decorators (`@cuda`, `@cuda.advanced`) to make any function run safely on GPU or CPU
- Optional automatic tensorization (int, list, n... | true |
3,035,368,952 | [Autotune Cache] Fix the bug of using the wrong key for recording artifacts in CacheArtifactManager | dongji-gao | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor"
] | 9 | CONTRIBUTOR | Summary: Replace the key (path) from `<hash>.best_config` to `<parent_dir>/<hash>.best_config` to ensure that Autotune artifacts in MegaCache are loaded to the correct location locally.
Test Plan: NA
Differential Revision: D74052400
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuh... | true |
3,035,364,845 | [export] Dynamo symint support | angelayi | open | [
"ciflow/trunk",
"fx",
"module: dynamo",
"ciflow/inductor",
"release notes: export"
] | 3 | CONTRIBUTOR | Basically adds native _IntWrapper support to dynamo. Here's my process of trying to make symint input support work on dynamo, and how I ended up with this approach [(doc)](https://docs.google.com/document/d/1GvNRQd8BnxlMay_hrEVgEta6VUeUW_hcFeRuB7q1nDY/edit?tab=t.0).
What I did was, before passing inputs to dynamo.ex... | true |
3,035,350,766 | [float16]: Fix the accumulation type for dot and gemv | f2013519 | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: linalg_frontend",
"topic: bug fixes"
] | 4 | CONTRIBUTOR | Fixes #147860
Also, partially address: https://github.com/pytorch/pytorch/issues/125438
Use float32 for accumulation with float16 and and bfloat16 types
| true |
3,035,314,056 | [invoke_subgraph] Run missing graph passes recursively | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"release notes: fx",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ciflow/pull"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152806
* __->__ #152675
* #152770
* #152772
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
3,035,311,431 | DISABLED AotInductorTest.BasicPackageLoaderTestCuda (build.bin.test_aoti_inference) | pytorch-bot[bot] | open | [
"high priority",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"oncall: export",
"module: aotinductor"
] | 18 | NONE | Platforms: inductor
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=AotInductorTest.BasicPackageLoaderTestCuda&suite=build.bin.test_aoti_inference&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/41519872229).
... | true |
3,035,311,361 | DISABLED test_comprehensive_std_cuda_float64 (__main__.TestInductorOpInfoCUDA) | pytorch-bot[bot] | open | [
"high priority",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | Platforms: inductor
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_comprehensive_std_cuda_float64&suite=TestInductorOpInfoCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/41519872219).
Over the past... | true |
3,035,311,300 | DISABLED test_comprehensive_cummin_cuda_float16 (__main__.TestInductorOpInfoCUDA) | pytorch-bot[bot] | open | [
"high priority",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | Platforms: inductor
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_comprehensive_cummin_cuda_float16&suite=TestInductorOpInfoCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/41520086944).
Over the p... | true |
3,035,311,227 | DISABLED test_comprehensive_polygamma_polygamma_n_0_cuda_float64 (__main__.TestInductorOpInfoCUDA) | pytorch-bot[bot] | open | [
"high priority",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | Platforms: inductor
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_comprehensive_polygamma_polygamma_n_0_cuda_float64&suite=TestInductorOpInfoCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/41520086... | true |
3,035,249,515 | add codegen layer specialization dispatch | bobrenjc93 | closed | [
"release notes: fx",
"fx",
"module: dynamo",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152757
* __->__ #152670
* #152601
* #152597
* #152596
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv @voznesenskym @penguinwu @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
3,035,221,842 | Added documentation for nonzero_static function (#152347) | sanjai-11 | open | [
"triaged",
"open source",
"topic: not user facing"
] | 3 | NONE | Fixes #152347
This PR updates the documentation for the nonzero_static function to include examples, arguments, and the behavior of the function. | true |
3,035,152,969 | Torch BF16 group gemm hangs in backward pass - core issue isolated, needs proper resolution. | lessw2020 | open | [
"module: cuda",
"module: error checking",
"triaged",
"module: deadlock"
] | 3 | CONTRIBUTOR | ### 🐛 Describe the bug
When using the native torch.__group_gemm enabled via https://github.com/pytorch/pytorch/pull/150374,
users reported hanging after a certain number of iterations in the backward pass. (https://github.com/pytorch/torchtitan/issues/1118)
With a deep dive from and big credit to @rciocoiu, a min re... | true |
3,035,140,229 | [StaticCudaLauncher] Ensure cuda context exists before launching kernels | jamesjwu | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152667
Triton does this already due to https://github.com/triton-lang/triton/pull/3731/files, in order to fix https://github.com/pytorch/pytorch/issues/124565. We need to do the same thing as triton here, so that in cases with no c... | true |
3,035,120,540 | DISABLED test_comprehensive_nansum_cuda_int32 (__main__.TestInductorOpInfoCUDA) | pytorch-bot[bot] | open | [
"high priority",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 6 | NONE | Platforms: inductor
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_comprehensive_nansum_cuda_int32&suite=TestInductorOpInfoCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/41514137478).
Over the pas... | true |
3,035,120,471 | MXFP8 Fix broken bias support for mxfp8 | drisspg | open | [
"topic: not user facing"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152665
* #152744
| true |
3,035,112,432 | Raise error when no record on extra_files | ILCSFNO | open | [
"oncall: jit",
"triaged",
"open source",
"release notes: jit"
] | 2 | CONTRIBUTOR | Fixes #152178
cc @EikanWang @jgong5 @wenzhe-nrv @sanchitintel | true |
3,035,109,993 | [MPS][BE] Do not dispatch empty kernels | malfet | closed | [
"Merged",
"release notes: mps",
"ciflow/mps"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152515
* __->__ #152663
If `iter.numel()` is zero no need to dispatch kernel | true |
3,035,085,705 | Re-enable FakeTensor caching for SymInts | aorenste | open | [
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152662
* #152661
Summary:
This backs out D60320595 which itself turned off FakeTensor caching when a SymInt was present.
Tests seem to pass so I'm assuming some dynamic shape work fixed what was breaking previously.
Test Plan: Rer... | true |
3,035,085,623 | Fix evaluate_expr to include suppress_guards_tls in cache key | aorenste | open | [
"ciflow/trunk",
"release notes: fx",
"topic: not user facing",
"fx",
"module: dynamo",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | ShapeEnv.evaluate_expr() behaves differently based on the (tls) global "suppress_guards" - so its cache key needs to include that value.
This came up because #152662 triggered it in the test `test/dynamo/test_exc.py::ExcTests::test_trigger_bisect_on_error` - fixing this caused that test to work again.
Stack from ... | true |
3,035,085,365 | [Inductor] Fix kernel argument ordering when using dynamic shapes with workspace | NikhilAPatel | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152660
Summary:
This PR fixes a bug in the Triton kernel invocation path where the `workspace_tensor` was inserted before the unpacked `extra_args` list in the final kernel argument list. This broke the expected ordering of arguments... | true |
3,035,082,511 | temp | NikhilAPatel | closed | [
"module: inductor",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152659
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
3,035,059,337 | Fix the basic description of torch.min(), torch.max(), torch.all(), torch.any() | ILCSFNO | open | [
"triaged",
"open source",
"release notes: python_frontend"
] | 1 | CONTRIBUTOR | Fixes #152176
| true |
3,035,059,279 | cleanup, refactor and add missing self._dde_suppressed checks | laithsakka | open | [
"Merged",
"Reverted",
"ciflow/trunk",
"release notes: fx",
"fx",
"ciflow/inductor",
"ci-no-td"
] | 10 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152657
so two things other than cleanups and refactoring
1) do not use propagate_real_tensors to resolve eval under guard_or_true/guard_or_false .
2) do not guard for dimensions of type DimDynamic.OBLIVIOUS_SIZE under guard_or_... | true |
3,035,057,671 | Add explicit error message for def infer_size(a, b): that specificy that non broadcast path was picked due to unbacked existing in both inputs. | laithsakka | open | [
"triaged",
"oncall: pt2",
"module: dynamic shapes"
] | 0 | CONTRIBUTOR | follow up task for my comment on this PR
https://github.com/pytorch/pytorch/pull/152146/files
```
you can land it as for the future i might revisit this to make the code more understandable
basically first we want to check if there is broadcasting using guard_or_none.
if any of them did not return none we are done.
i... | true |
3,035,038,067 | UNSTABLE docker-cache-mi300 / docker-cache | jithunnair-amd | closed | [
"module: rocm",
"module: ci",
"triaged",
"unstable"
] | 3 | COLLABORATOR | ## Reason
Docker caching is not working on the new MI300 runners. Temporarily disabling it until we can set up the docker caching properly.
cc @jeffdaily @sunway513 @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd @seemethere @malfet @pytorch/pytorch-dev-infra | true |
3,035,029,793 | Make assertion about pass callable print the bad pass | wconstab | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 15 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152654
If you passed an invalid string now you can easily see what it is
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @... | true |
3,035,029,693 | Remove incorrect assertion | wconstab | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152654
* __->__ #152653
* #152565
It's only aspirational that the 'improvement' value is positive. In fact
the pass could make a collective more exposed and we shouldn't assert
here in that case
cc @voznesenskym @penguinwu @EikanWang @jgon... | true |
3,035,020,643 | Refactor some common autotune-related utils into a new file | masnesral | closed | [
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152652
Summary: I'll need some of the benchmark-related functions surfaced in a common utils file so I can use them for remote autotuning. This PR is almost a straight move of a few nested functions from inside AlgorithmSelectorCache... | true |
3,035,014,338 | Add assert_fp8_close helper for FP8 tensor comparisons | vedant713 | open | [
"triaged",
"open source",
"topic: not user facing"
] | 16 | NONE | This PR adds a new helper function `assert_fp8_close` in `torch/testing/_comparison.py` that makes it easy to compare FP8 tensors with a sane default tolerance:
- Casts both `actual` and `expected` FP8 tensors to `float32`
- Calls `torch.testing.assert_close` with `rtol=1e-1` and `atol=1e-2`
- Allows overriding th... | true |
3,034,976,121 | thread through specialization to compile_fx | bobrenjc93 | closed | [
"module: dynamo",
"ciflow/inductor",
"release notes: AO frontend"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152670
* __->__ #152650
* #152601
* #152600
* #152597
* #152596
* #152598
* #151407
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amja... | true |
3,034,971,993 | DISABLED test_nvshmem | kwen2501 | closed | [
"module: ci"
] | 3 | CONTRIBUTOR | ## Reason
NVSHMEM is not installed on CI machines yet. Disabling for now.
`test_nvshmem` is from [pull / linux-jammy-py3.9-gcc11 / test (distributed, 1, 2, ephemeral.linux.2xlarge)](https://hud.pytorch.org/pr/pytorch/pytorch/151498#41511007289)
## Enable plan:
(i) Build PyTorch with NVSHMEM by default;
(ii) Install n... | true |
3,034,965,481 | [Flight Recorder] Added logging after FR dump completed | VieEeEw | closed | [
"oncall: distributed",
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)",
"ciflow/pull"
] | 8 | CONTRIBUTOR | Summary: TSIA
Test Plan: eyes
Differential Revision: D74041147
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k | true |
3,034,959,894 | Check for if two tensors are overall similar instead of bitwise similar? | henrylhtsang | open | [
"triaged",
"module: testing"
] | 1 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
So existing testing util is `torch.testing.assert_close`, which checks for bitwise similarity. But for quantization related ops, usually you can't expect every element pair in the tensors are close.
Suggestion:
Something like https://github.com/deepseek-ai/DeepGEMM/blob/d374... | true |
3,034,929,223 | [do-not-land][ca] default on for CI | xmfan | open | [
"module: dynamo",
"ciflow/inductor",
"keep-going",
"module: compiled autograd"
] | 2 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152646
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
3,034,905,302 | ProcessGroupGloo.allgather_into_tensor_coalesced crashes with CUDA tensors | d4l3k | open | [
"oncall: distributed",
"triaged"
] | 0 | MEMBER | ### 🐛 Describe the bug
```py
import os
os.environ["MASTER_ADDR"] = "localhost"
os.environ["MASTER_PORT"] = "0"
os.environ["RANK"] = "0"
os.environ["WORLD_SIZE"] = "1"
import torch.distributed as dist
import torch
dist.init_process_group("gloo", rank=0, world_size=1)
tensor = torch.zeros(10, device="cuda")
with d... | true |
3,034,903,036 | [inductor] Realize bucketize/searchsorted output | davidberard98 | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"module: inductor",
"ciflow/inductor",
"release notes: inductor",
"ci-no-td"
] | 9 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152644
**Context**:
bucketize is relatively expensive, computationally. So it's not always profitable to fuse it if it means doing extra computation. For example, this repro:
https://gist.github.com/davidberard98/7fd6af7e6291787... | true |
3,034,902,203 | [BE]remove vulkan test | yangw-dev | open | [
"module: vulkan",
"topic: not user facing"
] | 5 | CONTRIBUTOR | during the investigation of test jobs we run in pull request, It seems we do not have build environemtn for vulkan, removing the logic and the test for cleaning
| true |
3,034,897,673 | [CUTLASS][WIP] Gate rowwise matmul CUTLASS kernels by compute capability | eqy | open | [
"module: cuda",
"triaged",
"open source",
"topic: not user facing",
"module: float8"
] | 1 | COLLABORATOR | Does this abate some compile-time warning spam?
cc @ptrblck @msaroufim @jerryzh168 @yanbing-j @vkuzo @albanD @kadeng @penguinwu | true |
3,034,878,069 | [FlexAttention] explicilty create grad_q w/ strides | drisspg | closed | [
"module: performance",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 13 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152641
Fixes: #147463
There is a mismatch between inductor's lowering for empty_like and it does not match the behavior of eager. The strides do not match preserve format
https://github.com/pytorch/pytorch/issues/144699
... | true |
3,034,870,797 | [AOTAutogradCache][Easy] Move `"einops.einops.rearrange"` to `SAFE_NON_TORCH_FUNCTIONS` | StrongerXi | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152640
As title. | true |
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