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 |
|---|---|---|---|---|---|---|---|---|
2,779,156,470 | Expose several APIs to public (torch python APIs) | dilililiwhy | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 18 | CONTRIBUTOR | Fixes #144302
Try to expose several APIs to public for privateuse1 scenario.
cc @albanD | true |
2,779,114,690 | Use structure binding | cyyever | closed | [
"module: cpu",
"open source",
"better-engineering",
"Merged",
"ciflow/trunk",
"release notes: mps",
"ciflow/mps",
"ciflow/xpu"
] | 3 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 | true |
2,779,097,589 | Update the accuracy results for moco and llama | huydhn | closed | [
"Merged",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"ciflow/inductor-periodic"
] | 3 | CONTRIBUTOR | This has been failing in trunk for sometimes, let's just update the accuracy results first. The command I run `python benchmarks/dynamo/ci_expected_accuracy/update_expected.py 127f836881e75e0c688619b54a35b018a69d7ee7`. I also fix the update script a bit to make it working after https://github.com/pytorch/pytorch/pull... | true |
2,779,047,925 | quantize_fx.prepare_qat_fx, `get_default_qat_qconfig_mapping` is unused in code. | LukeLIN-web | open | [
"module: docs",
"oncall: quantization"
] | 1 | NONE | ### 📚 The doc issue
https://pytorch.org/docs/stable/_modules/torch/ao/quantization/quantize_fx.html#prepare_qat_fx
```
from torch.ao.quantization import get_default_qat_qconfig_mapping
```
In Example, It is unused in code. Not sure which one is correct.
### Suggest a potential alternative/fix
`... | true |
2,779,044,988 | WIP make a test for FSDP mixed precision | wconstab | closed | [
"oncall: distributed",
"topic: not user facing"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144521
* #144426
* #144352
* #144345
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @d4l3k @c-p-i-o | true |
2,779,041,704 | [aoti] Remove example inputs from aoti_compile_and_package | angelayi | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 8 | CONTRIBUTOR | Summary: The args were removed in https://github.com/pytorch/pytorch/pull/140991
Test Plan: CI
Differential Revision: D67998954
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjame... | true |
2,779,039,386 | [ROCm][Inductor][CK] hackfix for segfault in addmm op | tenpercent | closed | [
"module: rocm",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ciflow/rocm"
] | 4 | COLLABORATOR | This snippet used to cause segfault on GPU due to incorrect input order when invoking the kernel
```
import os
import torch
import torch.nn as nn
from torch._inductor import config as inductor_config
from torch._inductor.utils import fresh_inductor_cache
M, N, K = 128, 128, 4096
dtype = torch.float16
X... | true |
2,779,035,532 | [minifier] Fix config generator for callables | yushangdi | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 13 | CONTRIBUTOR | Summary:
When config contains callables, the current configs generated cannot be run:
```
torch._dynamo.config.reorderable_logging_functions = {<built-in function print>, <function warning at 0x7f774c595630>, <function log at 0x7f774c595870>, <function error at 0x7f774c595510>, <function info at 0x7f774c595750>, <buil... | true |
2,779,022,382 | Cleanup gpt_fast benchmark | nmacchioni | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | This is an exact copy of https://github.com/pytorch/pytorch/pull/144484, I bricked the last PR running ghstack land :(
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144517
| true |
2,779,007,244 | [dynamo, nested graph breaks] add nested graph break tests | williamwen42 | open | [
"module: dynamo",
"ciflow/inductor"
] | 3 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151056
* __->__ #144516
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,778,997,092 | [while_loop] specialize when cond_fn return constants | ydwu4 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144515
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov | true |
2,778,985,134 | Custom operation defined in C++, fails op_check and breaks on compile() and dynamo - only in real build | borisfom | closed | [
"triaged",
"module: custom-operators",
"oncall: pt2"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
Here is what I get :
Custom operation defined in C++, fails op_check:
```
E torch.testing._internal.optests.generate_tests.OpCheckError: opcheck(op, ...): test_aot_dispatch_static failed with The tensor has a non-zero number of elements, but its data is not allocated ... | true |
2,778,968,204 | [docs] Minor fixes to export and aoti docs | angelayi | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov @BoyuanFeng | true |
2,778,967,902 | [BE][Opinfo] Delete redundant `dtypesIfCUDA` | malfet | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | If they are the same as CPU, no need to have that extra line
Discovered while reviewing https://github.com/pytorch/pytorch/pull/143833
| true |
2,778,959,601 | Illegal Memory Access when Using Trainable Biases in Flex Attention | cora-codes | open | [
"module: crash",
"module: cuda",
"triaged",
"module: flex attention"
] | 3 | NONE | ### 🐛 Describe the bug
I'm back with another insane flex attention bug report.
Recently, I was playing around with the learnable biases in flex attention when I started hitting an illegal memory access in the backward pass.
After using `CUDA_LAUNCH_BLOCKING` I found it was happening in the following kernel du... | true |
2,778,955,241 | [BE] Fix extra-semi warnings in int4mm_kernel.cpp | malfet | closed | [
"module: cpu",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Fixes
```
In file included from /Users/nshulga/git/pytorch/pytorch/build/aten/src/ATen/native/cpu/int4mm_kernel.cpp.DEFAULT.cpp:1:
/Users/nshulga/git/pytorch/pytorch/aten/src/ATen/native/cpu/int4mm_kernel.cpp:998:2: warning: extra ';' outside of a function is incompatible with C++98 [-Wc++98-compat-extra-semi]
};
... | true |
2,778,942,148 | [MPSInductor] Add dummy properties | malfet | closed | [
"Merged",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144796
* #144795
* __->__ #144509
For compute capabilitiy (which is an empty string, same as CPU)
And for multicore count return 8, as this is smallest number of GPU cores on Apple silicon
cc @voznesenskym @penguinwu @EikanWang @jgong5... | true |
2,778,941,223 | Save integral tensor data for ET | shengfukevin | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 22 | CONTRIBUTOR | Summary:
et_replay uses random data to run operators, however, the operators using index tensor to access memory won't work with random data. It usually ran into two exceptions: 1. illegal memory access since index is out of range, it has been fixed with the environment variable ENABLE_PYTORCH_EXECUTION_TRACE_SAVE_INTE... | true |
2,778,910,682 | blocked benchmarking to avoid queue limit | nmacchioni | closed | [
"Stale",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144507
* #144505
* #144501
* #144353
* #133287
* #144365
* #133121
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjam... | true |
2,778,874,645 | Add instantiation level to CutlassArgs | drisspg | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ciflow/slow"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144506
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov | true |
2,778,871,575 | better overlapping of sleep and memory warmup | nmacchioni | closed | [
"Stale",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144507
* __->__ #144505
* #144501
* #144353
* #133287
* #144365
* #133121
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8... | true |
2,778,835,866 | Confusing documentation for torch.bucketize | blaine-rister | closed | [
"module: docs",
"triaged",
"actionable",
"module: python frontend"
] | 3 | CONTRIBUTOR | ### 📚 The doc issue
I was reading through this page describing `torch.bucketize`, and it took me a few passes to understand the behavior of the `right` argument.
https://pytorch.org/docs/stable/generated/torch.bucketize.html
It says:
> right ([bool](https://docs.python.org/3/library/functions.html#bool), opt... | true |
2,778,832,136 | Release 2.6.0 validations checklist and cherry-picks | atalman | closed | [
"oncall: releng",
"triaged"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
Similar to: https://github.com/pytorch/pytorch/issues/134694
We need to make sure that:
- [x] Python 3.13 wheel validate - https://github.com/pytorch/test-infra/actions/runs/12898326715/job/35965201816#step:14:3798
- [x] Validate Metadata section of wheels - make sure python versions are set
-... | true |
2,778,830,393 | Remove is_reduced_floating_point from namespace std | swolchok | closed | [
"module: cpu",
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: cpp",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144502
Partial fix for #144495. Avoiding BC-break using existing practice of removing only if FBCODE_CAFFE2 and C10_NODEPRECATED are not defined.
Differential Revision: [D67992342](https://our.internmc.facebook.com/intern/diff/D6799... | true |
2,778,815,139 | add most basic event packing | nmacchioni | closed | [
"Stale",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144507
* #144505
* __->__ #144501
* #144353
* #133287
* #144365
* #133121
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8... | true |
2,778,814,887 | [MPSInductor] Fix `masked`/`where` for inf values | malfet | closed | [
"Merged",
"topic: bug fixes",
"release notes: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Move constant to value logic to `value_to_metal` function (similar to `value_to_cpp`)
Call it from `constant` as well as `where` ops (which is in turn being called from `masked` op
Fixes #ISSUE_NUMBER
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayis... | true |
2,778,797,722 | Add AOTAutogradCache support for cache hot loading APIs | jamesjwu | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor"
] | 8 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144499
This diff adds AOTAutogradCache support to the mega cache.
Differential Revision: [D67991059](https://our.internmc.facebook.com/intern/diff/D67991059/)
**NOTE FOR REVIEWERS**: This PR has internal Meta-specific changes or co... | true |
2,778,792,558 | [PGNCCL] Add an API to get the status/error code at the PG level | shuqiangzhang | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 11 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144498
Summary:
This PR is basically a replacement of
https://github.com/pytorch/pytorch/pull/140087, which caused some perf
drop due to frequent TCPStore check in watchdog thread. The fix is to move the
tcpstore check in monitoring ... | true |
2,778,787,069 | [Inductor] Restrict ND tiling analysis to MemoryDeps | blaine-rister | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 7 | CONTRIBUTOR | # Issue
https://github.com/pytorch/pytorch/pull/137243 introduced a feature where the ND tiling algorithm analyzes memory dependencies. It iterates over all `Dep`'s of the kernel. However, the analysis is only applicable to `MemoryDep` instances, which are a subclass of `Dep`. In particular, it doesn't work for `Star... | true |
2,778,778,587 | [c10d] Fix CudaEventCache for dangling references | fduwjj | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)",
"topic: bug fixes"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144496
Reported in https://github.com/pytorch/pytorch/issues/143470, we have a dangling references in `CudaEventCache`. So we want to fix it.
1. We add a unit test to repro the issue mentioned in the issue.
2. Instead of convertin... | true |
2,778,776,951 | c10/util/BFloat16-math.h has undefined behavior | swolchok | open | [
"module: build",
"triaged",
"module: core aten"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
Per https://en.cppreference.com/w/cpp/language/extending_std:
> It is undefined behavior to add declarations or definitions to namespace std or to any namespace nested within std, with a few exceptions noted below.
The "exceptions noted below" do not seem to include what we're doing in [B... | true |
2,778,764,409 | [Profiler] Hide Kineto Step Tracker Behind Env Var | sraikund16 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: profiler",
"topic: bug fixes"
] | 6 | CONTRIBUTOR | Summary:
To support iteration-based on-demand we have step tracker hooks for both the scheduler and for the optimizer to control Kineto's backend FSM. We already hide the optimizer step tracker behind and ENV_VAR to prevent any extra overhead from the frontend profiler down to the kineto backend, but we don't do any su... | true |
2,778,688,291 | Amazon Linux 2023: Preload cusparseLt.so | pytorchbot | closed | [
"open source"
] | 1 | COLLABORATOR | Fixes https://github.com/pytorch/pytorch/issues/144433
Test with some debug statements added:
```
>>> import torch
trying to load libcublas.so.*[0-9] from ['/usr/local/lib/python3.9/site-packages/nvidia/cublas/lib/libcublas.so.12']
trying to load libcublas.so.*[0-9] from /usr/local/lib/python3.9/site-package... | true |
2,778,660,673 | patch for block-wise quantization + pt2e | cccclai | closed | [
"fb-exported",
"Merged",
"Reverted",
"ciflow/trunk",
"release notes: quantization",
"ciflow/inductor",
"release notes: export",
"ci-no-td"
] | 26 | CONTRIBUTOR | Summary: As title, needed for enable qcom block-wise quantization kernel
Test Plan: local test
Differential Revision: D67985303
| true |
2,778,642,814 | Restore support for other types of async_compile pools (spawn, fork) | masnesral | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144491
Summary: https://github.com/pytorch/pytorch/pull/142001 removed support for process pools other than "subprocess", but some OSS users still find it useful; put it back.
Test Plan: New unit test
cc @voznesenskym @penguinwu @E... | true |
2,778,627,067 | use collective_comm activity for hccl traces | fenypatel99 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 5 | MEMBER | Summary: Use existing collective_comm (currently used for nccl traces) for hccl traces as well. Only init the nccl profiler when KINETO_HAS_NCCL_PROFILER is defined so as to not init it when the build is for MTIA/HCCL
Test Plan: CIs
Differential Revision: D67285333
| true |
2,778,624,586 | Introduce cache clearing APIs for the lazy graph executor | rpsilva-aws | closed | [
"oncall: distributed",
"triaged",
"open source",
"lazy",
"Merged",
"module: lazy",
"ciflow/trunk",
"release notes: lazy",
"module: inductor",
"module: dynamo"
] | 16 | CONTRIBUTOR | This PR introduces two new methods to the LazyGraphExecutor class:
- ClearComputationCache(): Allows clearing the entire computation cache.
- RemoveFromComputationCache(hash): Enables removal of specific cache entries based on their hash.
The main objective is to expose cache management functionality for debuggi... | true |
2,778,615,412 | Back out "[AoTI Minifier] UX Improvement" | yushangdi | closed | [
"fb-exported",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Summary:
Original commit changeset: 2966389eb680
Original Phabricator Diff: D67299312
Test Plan: -
Differential Revision: D67985187
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,778,609,529 | retracing in strict doesn't like dataclass registration | avikchaudhuri | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144487
Retracing in strict doesn't seem to like dataclass registration. Just refactoring some tests to make this explicit (whereas other export testing variants work fine).
Differential Revision: [D67985149](https://our.internmc.fac... | true |
2,778,608,076 | Simplify vec128 bfloat16/half fmadds | swolchok | closed | [
"module: cpu",
"fb-exported",
"Merged",
"ciflow/trunk"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144486
I was being silly when I wrote these; it doesn't make sense to do four conversions and two FMAs when we could do a multiply and an add.
Differential Revision: [D67985074](https://our.internmc.facebook.com/intern/diff/D6798507... | true |
2,778,585,319 | [dynamo] Use polyfill to implement comparison operators | anijain2305 | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"keep-going",
"ci-no-td"
] | 20 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144485
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,778,579,435 | Cleanup gpt_fast benchmark | nmacchioni | closed | [
"ciflow/trunk",
"topic: not user facing"
] | 4 | CONTRIBUTOR | Prefer to use `benchmarker.benchmark` instead of explicitly selecting `benchmarker.benchmark_cpu` or `benchmarker.benchmark_gpu`
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144484
| true |
2,778,578,920 | Stop ignoring mypy errors in torch/testing/_internal/common_utils.py | aorenste | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"ciflow/periodic",
"ci-no-td"
] | 17 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #141659
* __->__ #144483
| true |
2,778,553,195 | Link to transformer tutorial in transformer docs | pytorchbot | closed | [
"open source"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144425
<img width="1045" alt="Screenshot 2025-01-08 at 4 50 20 PM" src="https://github.com/user-attachments/assets/05adfecb-8a23-4c48-9a2c-50c5b3f886b0" />
| true |
2,778,532,265 | DISABLED MULTIPLE ignore this, this is a test | clee2000 | closed | [] | 1 | CONTRIBUTOR | This is a test, feel free to ignore this
disable the following tests:
```
test_abcd123 (TestSuiteABCDEF): mac
test_abcd12asdf3 (TestSuiteABCDEF)
test_abcd1asdf23 (TestSuiteABCDEF): linux
```
| true |
2,778,501,349 | UNSTABLE pull / linux-jammy-py3-clang12-executorch / test (executorch) | huydhn | closed | [
"module: ci",
"triaged",
"unstable"
] | 13 | CONTRIBUTOR | The test starts failing flakily possibly after https://github.com/pytorch/pytorch/pull/143787 lands and needs to be updated
cc @seemethere @malfet @pytorch/pytorch-dev-infra @mergennachin | true |
2,778,480,860 | Failures because of deprecated version of `actions/download-artifact: v3` | kit1980 | closed | [
"ci: sev"
] | 4 | CONTRIBUTOR | ## Current Status
Mitigated
## Error looks like
> Error: This request has been automatically failed because it uses a deprecated version of `actions/download-artifact: v3`. Learn more: https://github.blog/changelog/2024-04-16-deprecation-notice-v3-of-the-artifact-actions/. This request has been automatically fai... | true |
2,778,376,726 | [dynamo] Support using UserDefinedFunction as argument (as_proxy). | IvanKobzarev | open | [
"feature",
"triaged",
"oncall: pt2",
"module: dynamo"
] | 2 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
At the moment using UserDefainedFunction as_proxy() fails as unimplemented.
The original reason why it is needed - we want to dynamo trace through Subclasses constructor that receives python Callable as an argument (and it is not used inside the constructor).
Dynamo tries... | true |
2,778,337,442 | Amazon Linux 2023: Preload cusparseLt.so | atalman | closed | [
"Merged",
"topic: not user facing"
] | 5 | CONTRIBUTOR | Fixes https://github.com/pytorch/pytorch/issues/144433
Test with some debug statements added:
```
>>> import torch
trying to load libcublas.so.*[0-9] from ['/usr/local/lib/python3.9/site-packages/nvidia/cublas/lib/libcublas.so.12']
trying to load libcublas.so.*[0-9] from /usr/local/lib/python3.9/site-package... | true |
2,778,300,277 | [ROCm] add support for gfx12 | jeffdaily | closed | [
"module: rocm",
"open source",
"release notes: linalg_frontend",
"ciflow/rocm"
] | 2 | COLLABORATOR | - add gfx1200 gfx1201 to allowed hipblaslt lists
- enable hipify of CUDA_R_8F_E4M3 and CUDA_R_8F_E5M2
- enable types of Float8_e4m3fn Float8_e5m2
- conditionalize tests to create appropriate F8 types for given gfx target
cc @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @nar... | true |
2,778,298,885 | Partially Revert D67299312: [AoTI Minifier] UX Improvement" for one test failure | yushangdi | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 7 | CONTRIBUTOR | Summary:
This diff partially reverts D67299312
D67299312: [AoTI Minifier] UX Improvement by yushangdi causes the following test failure:
Differential Revision: D67963019
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kade... | true |
2,778,250,585 | Fix block pointer test module for triton CPU and add to CI | kundaMwiza | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 7 | CONTRIBUTOR | - Fix for BlockPointerTestBase._discontiguous_tensor. It defaults to constructing CUDA tensors, causing a failure if CUDA is not available.
- Add test module to CI to prevent errors like the above from occurring.
Fixes #ISSUE_NUMBER
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zh... | true |
2,778,216,066 | [20/N] Fix extra warnings brought by clang-tidy-17 | cyyever | closed | [
"oncall: distributed",
"module: cpu",
"triaged",
"open source",
"release notes: cpp"
] | 7 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 | true |
2,778,149,008 | [BE]: Remove redundant contiguous copy in torch/_decomp/decompositions | Skylion007 | closed | [
"open source",
"better-engineering",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 6 | COLLABORATOR | Removes a redundant extra copy by calling contiguous. Instead, just add a memory_format flag to the dtype cast. | true |
2,778,102,291 | Add max kwarg to torch._check with alternate size oblivious semantics | ezyang | closed | [
"Merged",
"release notes: fx",
"fx",
"module: dynamo",
"ciflow/inductor"
] | 5 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144745
* #144743
* __->__ #144471
Fixes https://github.com/pytorch/pytorch/issues/120288 for the static bound case
I had been tying myself in knots in the original issue about the fact that we can't really do symbolic bounds like u0 < s... | true |
2,778,092,242 | Partitioner's auto-AC misbehaves with mixed dtypes | lw | open | [
"module: activation checkpointing",
"feature",
"module: autograd",
"triaged",
"oncall: pt2"
] | 4 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
When using the partitioner to do some automatic selective activation checkpointing, the default mode consists in estimating the runtime cost of the operators by computing the number of FLOPs they consume. Unfortunately, this is a bad proxy metric in cases where different operat... | true |
2,778,055,487 | [BE]: Replace clone detach with detach clone to be more efficient | Skylion007 | closed | [
"open source",
"better-engineering",
"Merged",
"ciflow/trunk",
"release notes: vulkan"
] | 3 | COLLABORATOR | Follow up to #144270 and fix some vulkan code | true |
2,778,039,277 | [BE]: Follow detach().clone() pattern for SGD | Skylion007 | open | [
"triaged",
"open source",
"better-engineering",
"Stale",
"ciflow/trunk",
"release notes: optim"
] | 15 | COLLABORATOR | Clone() copies the gradients too, but we immediately detach them. Detach returns a view of the tensor without it's gradients, and the copies only that subset. Related to #144270
| true |
2,778,010,521 | [BE]: Remove redundant contiguous copy in flex attention | Skylion007 | closed | [
"open source",
"better-engineering",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | COLLABORATOR | Removes a redundant potential copy, instead use memory_format kwarg to fuse both operations into a single copy. | true |
2,777,835,430 | DISABLED test_qs8_conv1d_batchnorm_seq (__main__.TestConv1d) | albanD | closed | [
"triaged",
"module: flaky-tests",
"skipped"
] | 2 | COLLABORATOR | Platforms: linux, executorch
This test was disabled because it is failing on main branch ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22backends%2Fxnnpack%2Ftest%2Fops%2Ftest_conv1d.py%3A%3ATestConv1d%3A%3Atest_qs8_conv1d_batchnorm_seq%22%5D)).
This is most likely due to hardcoded random va... | true |
2,777,771,359 | Support Swiglu for Module and functional | fmo-mt | open | [
"triaged",
"open source",
"release notes: nn",
"release notes: cpp",
"module: inductor",
"module: dynamo"
] | 28 | CONTRIBUTOR | Fixes #128712
I see #138790 has not been updated for a while, and it just implement a torch..nn.Module which can not be fully used for SwiGLU, so I implemented this activation function.
Here're some features that we can discuss:
- it's better to use `torch.swiglu` or `torch.swish_glu`? I chose the latter.
-... | true |
2,777,753,083 | [ONNX] Trying to export QAT model with torch.onnx.export, running into Problems that workarounds cant fix. Is ONNX export planned for QAT? | Beoje | open | [
"module: onnx",
"triaged"
] | 6 | NONE | ### 🐛 Describe the bug
The bug occurs when trying to export a model fully converted model to onnx. I have tried the workarounds suggested in (https://pytorch.org/docs/main/quantization.html#frequently-asked-questions) but even after trying all of them and debugging further I end up at various torch.onnx.errors.Symb... | true |
2,777,640,254 | improve WOQ first token performance on CPU | yuchengliu1 | open | [
"module: cpu",
"module: mkldnn",
"open source",
"release notes: releng",
"module: inductor"
] | 1 | NONE | cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @gujinghui @PenghuiCheng @jianyuh @min-jean-cho @yanbing-j @Guobing-Chen @Xia-Weiwen @snadampal @voznesenskym @penguinwu @EikanWang @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @deser... | true |
2,777,458,487 | [Inductor][GPU] Input is padded with incorrect value when executing `torch.nn.functional.pad` on gpu | maybeLee | closed | [
"high priority",
"triaged",
"oncall: pt2",
"module: inductor"
] | 4 | CONTRIBUTOR | ### 🐛 Describe the bug
When running `torch.nn.functional.pad` using `torch.compile` with GPU, this operator will not use the `value` parameter when padding a one-element tensor.
Instead, it pads the tensor with the tensor's own value.
Please run the following code to reproduce this issue:
```python
import torch... | true |
2,777,028,709 | ThroughputBenchmark incorrectly change autocast dtype on CPU | shiyang-weng | closed | [
"high priority",
"triaged",
"oncall: pt2",
"module: dynamo"
] | 4 | CONTRIBUTOR | ### 🐛 Describe the bug
After applying this patch https://github.com/pytorch/pytorch/commit/1c2593f035d852a5743b8634eccf9476d775f1ad#diff-176dae2fa097bbdb3f04182d59109027bbe143a63bc5ca045dcaae4b0c4798a7R461,
ThroughputBenchmark not work.
And the previous commit run it successfully.
```python
import torch
c... | true |
2,777,028,677 | [Inductor] Fix starvation issue when threads attempt to acquire write… | NSBlink | closed | [
"triaged",
"open source",
"Stale",
"topic: not user facing",
"module: inductor"
] | 7 | NONE | … lock on `model_exec_mutex_`
Fixes #144459
## explain
A write-priority strategy is implemented. When a thread attempts to acquire the `model_exec_mutex_` write lock, other threads attempting to acquire the `model_exec_mutex_` read lock enter a waiting state until no thread is requesting the `model_exec_mutex... | true |
2,777,027,183 | In AOTI Runtime, acquiring a write lock on model_exec_mutex_ may cause starvation. | NSBlink | open | [
"triaged",
"oncall: export",
"module: aotinductor"
] | 2 | NONE | ### 🐛 Describe the bug
**Describe**
https://github.com/pytorch/pytorch/blob/6f28e466f3d7b396dfe9cea87f4377be77fa7ddf/torch/csrc/inductor/aoti_runtime/model_container.h#L87
In `AOTInductorModelContainer::run`, if constant_folded_ is false, it will attempt to acquire a write lock on `model_exec_mutex_`. However, if m... | true |
2,776,984,082 | Support negative values for fill with uint tensors | isuruf | closed | [
"open source",
"Merged",
"ciflow/trunk",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 6 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144458
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov
... | true |
2,776,937,934 | [Inductor UT] Add expected failure for newly added case on XPU, align CUDA. | etaf | closed | [
"open source",
"Merged",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ciflow/xpu"
] | 4 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144452
* #144456
* __->__ #144457
The newly added case `test_randint_distribution` from #143787 was set expected failure for CUDA but not for XPU.
We add the expected failure here because if fails with the same reason as CUDA.
cc @vo... | true |
2,776,891,038 | [Inductor UT] Generalize newly introduced device-bias hard code in | etaf | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ciflow/xpu"
] | 9 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144452
* __->__ #144456
* #144457
Re-land #143975. Fix "cuda" hard code in test_pattern_matcher.py introduced by #139321
Fix #143974
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzh... | true |
2,776,765,876 | [Profiler]Close CUPTI by default after pytorch profiling ends | leveretconey | open | [
"oncall: profiler"
] | 4 | NONE | ### 🚀 The feature, motivation and pitch
Recently, I observed that the torch profiler continues to affect program performance even after profiling has completed. Upon investigation, I found that this issue occurs because Kineto does not close CUPTI (i.e., it does not call `cuptiFinalize`) by default when profiling end... | true |
2,776,755,088 | Apply clang-format for ATen/core headers | zeshengzong | closed | [
"open source",
"Stale",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Code change via add path config in .lintrunner.toml file and running
```bash
lintrunner -a --take CLANGFORMAT --all-files
``` | true |
2,776,737,651 | Enable XPU tests | zhangxiaoli73 | closed | [
"oncall: distributed",
"release notes: distributed (fsdp)"
] | 1 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,776,716,306 | [WIP][Inductor XPU] Use channel last format for XPU conv in Inductor. | etaf | closed | [
"open source",
"Stale",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ciflow/xpu"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144452
* #144456
* #144457
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @cha... | true |
2,776,712,445 | Remove the `_stacklevel` arg from `log_softmax`, `softmax` and `softmin` | zeshengzong | open | [
"triaged",
"open source",
"Stale",
"release notes: AO frontend",
"suppress-bc-linter"
] | 3 | CONTRIBUTOR | Fixes #83163
Remove `_stacklevel` parameter
**Test Result**
**Before**
![image](https://github.com/user-attachments/assets... | true |
2,776,690,400 | [XPU] Fix build error | etaf | closed | [
"module: cpu",
"open source",
"ciflow/trunk",
"topic: not user facing",
"ciflow/xpu"
] | 4 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144452
* #144456
* #144457
* __->__ #144450
Caused by https://github.com/pytorch/pytorch/pull/144014
Fixes https://github.com/pytorch/pytorch/issues/144447
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 | true |
2,776,678,361 | [mps/inductor] Add support for fmod(). | dcci | closed | [
"Merged",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 3 | MEMBER | 397 -> 395 tests failing. `static_cast<>` is because there are several overloads of `fmod()` that's otherwise ambiguous. I wonder if we should take in account NaN propagation (maybe it's not tested).
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @... | true |
2,776,674,336 | [19/N] Fix extra warnings brought by clang-tidy-17 | cyyever | closed | [
"oncall: distributed",
"module: cpu",
"open source",
"Merged",
"ciflow/trunk",
"release notes: cpp",
"module: dynamo",
"ciflow/inductor",
"module: compiled autograd",
"ciflow/xpu"
] | 6 | COLLABORATOR | Apply more clang-tidy fixes. There was a bug introduced by #144014 due to incorrect namespace concatenation which is reverted here.
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @voznesenskym @penguinwu @EikanW... | true |
2,776,661,041 | [Break XPU] PyTorch XPU build failure caused by incorrect change in xpu/Blas.cpp from #144014. | etaf | closed | [
"triaged",
"module: xpu"
] | 1 | COLLABORATOR | ### 🐛 Describe the bug
As title, the change from #144014 , in [aten/src/ATen/native/mkldnn/xpu/Blas.cpp](https://github.com/pytorch/pytorch/pull/144014/files#diff-9ae74b4a8990350760237cc09e715cc25a333f1d0655bd13cddb71c62cea2a39) break the origin namespace declaration and caused PyTorch XPU build fail:
```
home/x... | true |
2,776,650,764 | [CUDA] parse arch-conditional compute-capability when building extensions | eqy | closed | [
"module: cpp-extensions",
"module: cuda",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | COLLABORATOR | don't choke on arch-conditional compute capabilities e.g., `sm_90a`: #144037
cc @malfet @zou3519 @xmfan @ptrblck @msaroufim | true |
2,776,647,942 | NotImplementedError: Output channels > 65536 not supported at the MPS device. | AimoneAndex | open | [
"module: convolution",
"triaged",
"module: mps"
] | 6 | NONE | ### 🐛 Describe the bug
I used the newest edited version of this fork and torch==2.7.0.dev,but it just said "NotImplementedError: Output channels > 65536 not supported at the MPS device",instead of giving me a corrrect output.
1.Run the following command :
wav = tts.tts(text="Hello,world!",speaker_wav="project/inp... | true |
2,776,637,291 | [Trace Python Dispatcher] Support FuncTorchInterpreter | yanboliang | 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):
* __->__ #144444
* #144439
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,776,635,528 | [mps/inductor] Add support for tanh(). | dcci | closed | [
"Merged",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 4 | MEMBER | Fixes test_tanh() in the inductor testsuite.
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundo... | true |
2,776,607,992 | [XPU] Fix Namespace Error due to Clang-tidy | ratnampa | closed | [
"module: cpu",
"open source",
"topic: not user facing",
"ciflow/xpu",
"module: xpu"
] | 5 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
Recent changes to aten/src/ATen/native/mkldnn/xpu/Blas.cpp from PR:https://github.com/pytorch/pytorch/pull/144014, leads to build failures.
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @gujinghui @EikanWang @fengyuan14 @guangyey | true |
2,776,586,997 | [CUDA][cuBLAS] Add fp16 accumulate option to cuBLAS/cuBLASLt | eqy | closed | [
"module: cuda",
"module: cublas",
"open source",
"module: half",
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"matrix multiplication",
"ciflow/rocm",
"ci-no-td"
] | 74 | COLLABORATOR | Test for `cublasGemmEx` added, still need to figure out the best way to exercise the other APIs...
cc @ptrblck @msaroufim @csarofeen @xwang233 | true |
2,776,548,910 | [XPU] Fix Syntax Error due to Clang-tidy | ratnampa | closed | [
"module: cpu",
"open source"
] | 3 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
Recent changes to `aten/src/ATen/native/mkldnn/xpu/Blas.cpp` from PR:https://github.com/pytorch/pytorch/pull/144014, leads to build failures.
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 | true |
2,776,545,036 | [Trace Python dispatcher] Support torch.DispatchKey & torch.DispatchKeySet | yanboliang | 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):
* #144444
* __->__ #144439
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,776,529,847 | add some basic shape_env info to tlparse | bdhirsh | open | [
"release notes: composability",
"fx",
"module: dynamo",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | It seems generally useful to add stuff like shape_env hints on a given compile into tlparse, especially since hints are used by the partitioner / inductor and can affect compile times and performance (see [doc](https://docs.google.com/document/d/1SyOGPKKVQAmnEY-LkGbcVj1H6TTMtsXu0DRVVQJqCGw/edit?tab=t.0#bookmark=id.bc18... | true |
2,776,522,917 | [dynamo][graph break] omegaconfig ListConfig `__contains__` | anijain2305 | closed | [
"triaged",
"oncall: pt2",
"module: dynamo"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
Fixing this graph break should help with the performance regression in https://github.com/pytorch/pytorch/issues/132872
~~~
+ @unittest.skipIf(not HAS_OMEGACONG, "missing omegaconf package")
+ def test_omegaconf_listconfig_contains(self):
+ def fn(cfg, x):
+ i... | true |
2,776,505,215 | [aarch64] fix TORCH_CUDA_ARCH_LIST for cuda arm build | tinglvv | closed | [
"open source",
"Merged",
"ciflow/binaries",
"ciflow/trunk",
"topic: not user facing"
] | 7 | COLLABORATOR | Fixes #144037
Root cause is CUDA ARM build did not call `.ci/manywheel/build_cuda.sh`, but calls `.ci/aarch64_linux/aarch64_ci_build.sh `instead. Therefore, https://github.com/pytorch/pytorch/blob/main/.ci/manywheel/build_cuda.sh#L56 was not called for CUDA ARM build.
Adding the equivalent of the code to `.ci/aa... | true |
2,776,498,030 | Need newer driver | drisspg | closed | [] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144435
| true |
2,776,478,366 | Int8 Inference Slowdown Comparing to FP32 when using PyTorch 2 Export Quantization with X86 Backend through Inductor | YixuanSeanZhou | closed | [
"oncall: quantization"
] | 20 | NONE | ### 🐛 Describe the bug
INT8 inference is significantly slower comparing to FP32 after performing quantization using the tutorial: [PyTorch 2 Export Quantization with X86 Backend through Inductor](https://pytorch.org/tutorials/prototype/pt2e_quant_x86_inductor.html)
When benchmarking the inference speed I observe... | true |
2,776,463,633 | Torch 2.6.0 rc is broken on Amazon linux 2023 | atalman | closed | [
"high priority",
"triage review",
"module: binaries"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
Follow instructions from: https://github.com/pytorch/pytorch/issues/138324
install torch=2.6.0
```
>>> import torch
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib64/python3.9/site-packages/torch/__init__.py", line 379, in <module>
... | true |
2,776,463,102 | [ROCm] hipblaslt rowwise f8 gemm | jeffdaily | closed | [
"module: rocm",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: rocm",
"release notes: nn",
"ciflow/rocm"
] | 14 | COLLABORATOR | hipblaslt added rowwise f8 gemm support. Integrate with scaled_mm.
cc @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,776,457,381 | inductor slow kernel choice for max(x) if x is not contiguous | vkuzo | closed | [
"triaged",
"oncall: pt2",
"module: inductor"
] | 3 | CONTRIBUTOR | ### 🐛 Describe the bug
I noticed that if `x` is not contiguous, torchinductor generates unexpectedly slow cuda kernels for `torch.max(x)`. Small repro:
```
import torch
import fire
from torch._inductor.utils import do_bench_using_profiling
torch.manual_seed(0)
def get_max(x):
x = torch.max(x)
r... | true |
2,776,439,263 | Request for: torch-2.5.1-cp313-cp313-win_amd64.whl | tlh45342 | closed | [] | 1 | NONE | I don't see the posting for 313 there.
I am guessing the Mac people would be interested as well?
| true |
2,776,423,628 | Fix overflows in checkInBoundsForStorage | mikaylagawarecki | closed | [
"Stale"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144429
| true |
2,776,419,294 | [ONNX] Update images and APIs to onnx_dynamo.rst | pytorchbot | closed | [
"open source",
"release notes: onnx"
] | 1 | COLLABORATOR | Update the result image of exporting, and delete the functions/class that belongs to `torch.onnx.dynamo_export` | true |
2,776,400,115 | Inductor dashboard benchmarks: swap unused freeze_autotune_cudagraphs workflow for cppwrapper workflow | benjaminglass1 | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 5 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144427
GitHub limits us to 10 inputs per workflow_dispatch job, so this PR swaps out an input that is no longer used for the cppwrapper input. See [the HUD](https://hud.pytorch.org/benchmark/compilers?dashboard=torchinductor&startTi... | true |
2,776,293,690 | [Pipelining] Fix ZeroBubblePP+DDP grad reduction issue | wconstab | closed | [
"oncall: distributed"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144521
* __->__ #144426
* #144352
* #144345
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @d4l3k @c-p-i-o | true |
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