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 |
|---|---|---|---|---|---|---|---|---|
2,929,769,904 | [ROCm] Fixes and improvements to CUDA->HIP flag conversion for CPP extensions | pytorchbot | closed | [
"module: rocm",
"open source",
"ciflow/rocm"
] | 1 | COLLABORATOR | Fixes https://github.com/ROCm/hip/issues/3764.
Fixes and improvements to CUDA->HIP flag conversion for CPP extensions
- Log flag conversion for debugging purposes.
- Fix cases where it should not touch the -I flags or cases where CUDA appears more than once by replacing only the first instance.
- Fix case where... | true |
2,929,749,472 | [export] Handle non OpNamespace type during decomposition. | zhxchen17 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export"
] | 6 | CONTRIBUTOR | Summary:
Turns out we can have non OpNamespace object in torch.ops._dir.
We should just throw away those during iteration.
Test Plan: eyes
Differential Revision: D71417992
| true |
2,929,734,448 | DISABLED test_get_model_state_dict_del_memory (__main__.TestStateDictMemory) | izaitsevfb | closed | [
"oncall: distributed",
"skipped"
] | 3 | CONTRIBUTOR | Platforms: linux
This test was disabled because it is failing on main branch ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22distributed%2Fcheckpoint%2Ftest_state_dict.py%3A%3ATestStateDictMemory%3A%3Atest_get_model_state_dict_del_memory%22%5D)).
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fdu... | true |
2,929,731,322 | [JIT] fix torchscript mha bias=False | Isalia20 | open | [
"triaged",
"open source",
"release notes: jit",
"topic: bug fixes"
] | 3 | COLLABORATOR | Fixes #149391
| true |
2,929,713,686 | Enable TMA persistent GEMM Template by default | PaulZhang12 | closed | [
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | ghstack-source-id: d95f0938c09704b6658c6ed9f9c9d02cb474d636
Pull Request resolved: https://github.com/pytorch/pytorch/pull/149427
Another attempt to enable the TMA persistent GEMM templates in Inductor, given the availability of Hopper GPUs in the CI.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen ... | true |
2,929,711,424 | [DO NOT MERGE] Enable TMA persistent GEMM Template by default | PaulZhang12 | open | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 15 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149427
Previously, this was unable to be landed given there was limited H100 for CI testing. Benchmarking on H100 CI looks good now.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzhen... | true |
2,929,708,611 | Use mypy 1.15 | ZainRizvi | open | [
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,929,701,579 | python custom ops tutorial stopped working in PyTorch 2.7 RC1 | zou3519 | closed | [
"high priority",
"triage review",
"oncall: pt2",
"module: inductor"
] | 5 | CONTRIBUTOR | Get PyTorch 2.7 RC1. Repro in next comment.
Error looks like:
```py
Traceback (most recent call last):
File "/home/rzou/dev/2.7/pco.py", line 124, in <module>
cropped_img = f(img)
^^^^^^
File "/home/rzou/dev/2.7/env/lib/python3.11/site-packages/torch/_dynamo/eval_frame.py", line 655, in _fn
... | true |
2,929,643,466 | [export] refactor DimHints for type errors | pianpwk | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"module: inductor",
"ciflow/inductor",
"release notes: export",
"suppress-bc-linter"
] | 7 | CONTRIBUTOR | Differential Revision: D71414367
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,929,604,084 | Add regression tests for 3 missing PR-time benchmarks | benjaminglass1 | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | COLLABORATOR | Uses values from the latest PR-time benchmark run on viable/strict. See https://github.com/pytorch/pytorch/actions/runs/13898520615/job/38900894469 for a job showing why this is needed.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 ... | true |
2,929,589,063 | Pip-installed pytorch limits threads to 1 when setting GOMP_CPU_AFFINITY (likely due to bundled GOMP) | yuchengliu1 | open | [
"high priority",
"module: binaries",
"triaged",
"module: intel"
] | 13 | NONE | ### 🐛 Describe the bug
Pip-installed pytorch limits threads to 1 when setting GOMP_CPU_AFFINITY, while a pytorch build from source code will not have this problem. The pip-installed pytorch will use a bundled GOMP.
There is a cpp case can reproduce it.
```
#include <stdio.h>
#include <omp.h>
#include <torch/torch.h>
... | true |
2,929,564,975 | [caffe2] Do not use --no-as-needed on macOS | stepanhruda | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Summary:
`--no-as-needed` is not available in ld64.lld
Applying this on all macos is potentially too broad? I am not sure if `fbcode//mode/mac` uses a different linker, but arvr mode for sure uses ld64.lld.
Test Plan: CI / used for a macOS build on top of the stack.
Differential Revision: D71315125
| true |
2,929,553,574 | [dynamic] use maybe_mark_dynamic instead of mark_dynamic for batch size in benchmarks | xmfan | open | [
"module: dynamo",
"ciflow/inductor"
] | 2 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #148516
* __->__ #149420
* #149367
* #148694
* #149229
* #149336
in CA, when we capture the backward, the tensor containing the batch dim sometimes is coerced by some mul/matmul etc. with a static shaped tensor, resulting in a guard validat... | true |
2,929,549,264 | [logging] Add python version to dynamo_compile table | masnesral | 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):
* __->__ #149419
Summary: This adds a version field like the following: `3.10.9+fb (3.10:1dd9be6, May 4 2022, 01:23:45) [Clang 15.0.7 (mononoke://mononoke.internal.tfbnw.net/fbsource 5d1601b0eed7426ac`
cc @voznesenskym @penguinwu @EikanWang ... | true |
2,929,449,775 | Aborting distributed backend causes segmentation fault in autograd | szmigacz | closed | [
"oncall: distributed",
"triaged",
"module: c10d",
"bug"
] | 10 | CONTRIBUTOR | ### 🐛 Describe the bug
Running `torch.distributed.distributed_c10d._abort_process_group` asynchronously from a separate python thread causes segmentation fault from PyTorch autograd. The issue reproduces in `pytorch/pytorch:2.6.0-cuda12.6-cudnn9-devel` container on 8x H100, but I don't think it's hardware-specific si... | true |
2,929,419,769 | [Build] Guard per-op headers in ACLUtils.cpp | malfet | closed | [
"module: cpu",
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: quantization"
] | 5 | CONTRIBUTOR | To fix internal build failures, where per-op headers are not generated.
We really should have lint for something like that.
Test Plan: CI
Reviewed By: izaitsevfb
Differential Revision: D71406882
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 | true |
2,929,377,209 | [Build] Guard per-op headers inclusion | malfet | closed | [
"release notes: build",
"topic: bug fixes"
] | 2 | CONTRIBUTOR | In newly added header, to fix internal build failures, where per-op headers are not used
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 | true |
2,929,344,450 | Normalize intermediate node names to better utilize cache | bobrenjc93 | closed | [
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #149898
* __->__ #149415
This change was motivated by internal use case (https://fb.workplace.com/groups/1553867532149891/?multi_permalinks=1708481206688522&comment_id=1711739699696006¬if_id=1742399826944239¬if_t=work_feedback_reactio... | true |
2,929,308,006 | torch.Size input | avikchaudhuri | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"fx",
"ciflow/inductor",
"release notes: export"
] | 9 | CONTRIBUTOR | Summary: Support for `torch.Size` inputs was patchy before because `unflatten_fn` for this type returned a tuple. This PR cleans this up.
Fixes #149158
Test Plan: added test
Differential Revision: D71403635
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,929,292,119 | [CI][docker] Use multistage build for triton | clee2000 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Sees to reduce docker pull times by ~3 min if triton is requested, some compressed docker sizes seems to have decreased by 1/3 ish
Also add check that triton is installed/not installed
| true |
2,929,227,103 | [AOTI][reland] Update test runner to use the new APIs | desertfire | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149412
Summary: Reland https://github.com/pytorch/pytorch/pull/147105. Switch to the newer aoti_compile_and_package APIs. Some tests still kept using legacy APIs, and will follow up with internal test refactoring.
cc @H-Huang @awgu ... | true |
2,929,045,957 | fix differentiable collectives under inference mode | bdhirsh | open | [
"oncall: distributed",
"release notes: distributed (c10d)"
] | 3 | CONTRIBUTOR | The 3 differentiable collectives that exist today are all registered to the autograd key, which means that they won't work with inference mode.
I gave them a separate implementation for the `CompositeExplicitAutograd` key ("below autograd"), where I call their non-differentiable counterparts.
The main annoying bi... | true |
2,928,998,436 | Monkeypatch fake mode so it errors on invalid custom ops | tugsbayasgalan | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export"
] | 4 | CONTRIBUTOR | Internal version: [D71294776](https://www.internalfb.com/diff/D71294776)
| true |
2,928,971,949 | DISABLED test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_True_cuda_float32 (__main__.TestForeachCUDA) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"module: mta"
] | 7 | NONE | Platforms: linux, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_True_cuda_float32&suite=TestForeachCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorc... | true |
2,928,946,215 | Fix B018 Useless Expressions in Multiple Files (#106571) | rocordemu | open | [
"oncall: distributed",
"triaged",
"open source",
"module: inductor",
"module: dynamo",
"release notes: distributed (checkpoint)"
] | 8 | NONE | ### Description
This PR addresses `flake8-bugbear` `B018` warnings ("Found useless expression") by removing unused tuple and constant expressions in three files. These fixes clean up the codebase, reducing potential confusion and aligning with the linting goals of #106571. As a first-time contributor (coming from Node... | true |
2,928,892,623 | [MPS] nanmedian implementation | Isalia20 | closed | [
"open source",
"Merged",
"topic: improvements",
"module: mps",
"release notes: mps",
"ciflow/mps"
] | 4 | COLLABORATOR | Implements nanmedian on MPS. This implementation only implements `torch.nanmedian(tensor)` without `keepdim` and `dim`
Will implement nanmedian with dim and keepdim in a followup
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen | true |
2,928,886,230 | Recompils due to Python float object | efsotr | closed | [
"triaged",
"oncall: pt2",
"module: dynamic shapes",
"module: dynamo"
] | 4 | NONE | ### 🐛 Describe the bug
```python
import os
os.environ["TORCH_LOGS"] = "recompiles_verbose"
import torch
x = torch.randn((10, 10), device="cuda", requires_grad=False)
@torch.compile(dynamic=True)
def model(x, y):
return x * y
y = model(x, 1.5)
y2 = model(x, 2.5)
```
### Error logs
Just log
```
V0318 23:04:20.0... | true |
2,928,877,933 | [torch.compile] Recompils due to Python float object | efsotr | closed | [] | 0 | NONE | ### 🐛 Describe the bug
```python
import os
os.environ["TORCH_LOGS"] = "recompiles_verbose"
import torch
x = torch.randn((10, 10), device="cuda", requires_grad=False)
@torch.compile(dynamic=True)
def model(x, y):
return x * y
y = model(x, 1.5)
y2 = model(x, 2.5)
```
```
V0318 23:04:20.093000 2002586 site-packag... | true |
2,928,842,380 | A bunch of typos | macleginn | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 11 | CONTRIBUTOR | Improves readability. | true |
2,928,798,650 | Fix broken build within xplat/caffe2 | malfet | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: build",
"topic: improvements"
] | 9 | CONTRIBUTOR | Summary:
Following a pull from open source, the build within xplat is broken
due to not finding <autograd/function.h>.
Within the python_function.cpp there seems to be a convention of using the
torch/csrc prefix.
This change includes that prefix to enable the build to proceed.
Test Plan:
Build a binary using torch.
... | true |
2,928,741,801 | Release.md readability improvements | ZainRizvi | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Improves a bunch of readability/grammatical issues with release.md.
Note: This was a claude code experiment, with all changes automatically generated. But turns out minor edits like this is _not_ a good use of claude code since it asked for approval on every single changed line. Prob way more efficient to toss thi... | true |
2,928,632,031 | [AOTI] Forward fix unit test failures | desertfire | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149401
Summary: There is a land conflict between https://github.com/pytorch/pytorch/pull/149161 and https://github.com/pytorch/pytorch/pull/147105. We just need to update the APIs used in two new unit tests.
cc @voznesenskym @pengui... | true |
2,928,617,951 | [Sigmoid] Remove magic method in CapabilityBasedPartitioner | StellarrZ | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: fx",
"fx"
] | 4 | CONTRIBUTOR | Summary: As title.
Test Plan: CI
Differential Revision: D70575197
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,928,571,297 | `empty_strided` Causes Silent Insistency In Inductor | WLFJ | closed | [
"triaged",
"oncall: pt2",
"topic: fuzzer"
] | 4 | NONE | ### 🐛 Describe the bug
In most cases, no one would intentionally use an uninitialized tensor created with `empty_strided` to build a model, but Inductor's results differ from Eager's.
Repro:
```python
import torch
print(torch.__version__)
def f(*args):
sym_0, sym_1 = args
var_406 = torch.empty_strided(siz... | true |
2,928,406,533 | Fix mtia_extension.cpp setDevice() to correctly set current_device | ileixe | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 10 | CONTRIBUTOR | We referred to this code and found that there was a minor bug. Fix for future reference for others. | true |
2,928,404,163 | [xnnpack] Expose subgraph symbols | stepanhruda | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 11 | CONTRIBUTOR | Summary: Main XNNPack target code uses symbols from subgraph so they need to be exported - this gets uncovered on macos where symbols were not visible after linking
Test Plan: CI / used for a macOS build on top of the stack.
Differential Revision: D71315023
| true |
2,928,295,011 | Does FSDP support nested wrapping for MoE models with Expert Parallelism? | zigzagcai | closed | [
"oncall: distributed",
"triaged",
"module: fsdp"
] | 10 | NONE | Hi,
I am trying to use FSDP with Expert Parallelism to tackle with training MoE models, which size is quite large (670B DeepSeek v3 for example). Since even we use fully sharded options , we will encounter CUDA OOM during training. The root cause is per-layer parameter size is quite large. Therefore we implement Exper... | true |
2,928,120,786 | [FSDP2] DTensors are always marked as cpu tensor when we use offload_to_cpu | cyr0930 | closed | [] | 2 | NONE | ### 🐛 Describe the bug
If offload_to_cpu == True and is fully_shard mode,
DTensor of modules always marked as cpu tensor (just view, I think)
https://github.com/pytorch/pytorch/blob/v2.6.0/torch/distributed/fsdp/_fully_shard/_fsdp_param.py#L383
DTensors are moved to cpu in the above line, but never get back to gpu, ... | true |
2,927,929,502 | [WIP]Enabling running HPU test through run_test.py | AnantGulati | open | [
"open source",
"topic: not user facing"
] | 2 | CONTRIBUTOR | The purpose of this PR is to facilitate the use of run_test.py for executing PyTorch unit tests on HPU
Changes made:
- run_test.py: enables us to test for HPU supported tests by passing argument --hpu
- common_utils.py: enables adding skips for expected failures
- hpu_test_faliures.py: Enables us to pick x-fails... | true |
2,927,833,151 | Torch RPC examples from docs say usage is deprecated. | vaughankraska | open | [
"oncall: distributed",
"module: docs",
"triaged",
"module: rpc"
] | 3 | NONE | ### 🐛 Describe the bug
When running any examples from the pytorch/examples repo or more importantly the examples from the RPC documentation, the following warning is displayed:
`UserWarning: You are using a Backend <class 'torch.distributed.distributed_c10d.ProcessGroupGloo'> as a ProcessGroup. This usage is deprecat... | true |
2,927,788,963 | Fix `SequentialLR` deprecate warning about invoke `step(epoch)` | zeshengzong | open | [
"triaged",
"open source",
"release notes: optim"
] | 4 | CONTRIBUTOR | Fixes #116776
## Changes
- Refactor `LRScheduler.step` method, leave `epoch` check logic in public method `step`
- Move update `lr` logic to `_update_lr` method
- Make `SequentialLR` use `_update_lr` to avoid unnecessary warning message
## Test Result
```bash
pytest test/optim/test_lrscheduler.py -vv
``... | true |
2,927,634,520 | Cannot torch.jit.script nn.MultiheadAttention when bias is set to False | CloudyDory | open | [
"oncall: jit"
] | 1 | NONE | ### 🐛 Describe the bug
When we run `torch.jit.script` to `nn.MultiheadAttention` with `bias=False`, the following error occurs:
```
import torch
import torch.nn as nn
layer = nn.MultiheadAttention(128, 8, bias=False)
# layer = nn.Linear(128, 128, bias=False)
layer_jit = torch.jit.script(layer)
```
```
RuntimeErro... | true |
2,927,631,934 | [Docs] Make `torch.Library`'s `kind` have no default value to be consistent with the code | shink | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: python_frontend",
"topic: docs"
] | 8 | CONTRIBUTOR | Fixes #149389
| true |
2,927,625,772 | [Docs] `torch.Library`'s `kind` is inconsistent with the code | shink | closed | [
"triaged",
"actionable",
"module: library"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
The doc says that `kind` defaults to `IMPL` but it actually does not.
<img width="821" alt="Image" src="https://github.com/user-attachments/assets/2eb7b65a-d642-4a13-b111-edc43080b3a0" />
Calling `torch.library.Library("fsdp")` will get this:
```
TypeError: Library.__init__() missing 1 requi... | true |
2,927,605,033 | [Windows][inductor] fix blank space break windows file path | xuhancn | closed | [
"module: windows",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"intel",
"module: inductor",
"ciflow/inductor"
] | 13 | COLLABORATOR | Fixes #149310
From origin error message:
```cmd
Command:
cl /I C:/Program Files/Python310/Include /I c:/code/.env/lib/site-packages/torch/include /I c:/code/.env/lib/site-packages/torch/include/torch/csrc/api/include /I c:/code/.env/lib/site-packages/torch/include/TH /I c:/code/.env/lib/site-packages/torch/includ... | true |
2,927,486,447 | [aoti] follow up to use new api in `test_provenance_tracing.py` | YUNQIUGUO | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 5 | CONTRIBUTOR | Summary:
As title. Follow up of D71181284. and some minor refactoring
Context : D69609685 (update test runner to use new api) / https://github.com/pytorch/pytorch/pull/147105
Test Plan:
```
buck2 run -c fbcode.enable_gpu_sections=true -c fbcode.nvcc_arch=h100 @//mode/opt fbcode//caffe2/test/inductor:provenanc... | true |
2,927,383,675 | Add AOTI shim for _weight_int4pack_mm_cpu_tensor (#149031) | Xia-Weiwen | closed | [
"open source",
"module: inductor",
"ciflow/inductor"
] | 1 | COLLABORATOR | **Summary**
Previous implementation of shim did not align with the design and it was removed by https://github.com/pytorch/pytorch/pull/148907 This PR adds it back in the files of MKLDNN backend and re-enable the CPP wrapper UT.
**Test plan**
```
pytest -s test/inductor/test_cpu_cpp_wrapper.py -k test_woq_int4
`... | true |
2,927,334,153 | Fix preload for cusparseLT | vihangm | closed | [
"triaged",
"open source",
"topic: bug fixes",
"topic: not user facing"
] | 11 | NONE | This was added in #144477 but the preload logic was wrong since the missing `nvidia` path would trigger the `continue` in the loop and never search in the alternate location.
This is easily reproduced when trying to use torch 2.6.0 in a hermetic bazel build.
After this patch, torch manages to find and load cusparseLt ... | true |
2,927,323,171 | Fix local compilication and hipification | zoranzhao | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 7 | MEMBER | Summary:
As title, we need to fix the issue introduced from
https://github.com/pytorch/pytorch/pull/148305
Test Plan: CI and e2e https://docs.google.com/document/d/1Bu-MxJCkN7WaRkKJLVBQvnSp8yV0v3Aeb3Y9R5sjeHw/edit?tab=t.0
Differential Revision: D71373001
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Che... | true |
2,927,247,376 | Reuse format_size utils | guangyey | closed | [
"open source",
"Merged",
"ciflow/trunk",
"release notes: mps",
"ciflow/mps"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #138222
* #149601
* __->__ #149383
| true |
2,927,130,270 | Warn user of existing lock file to avoid infinite waiting | chaihahaha | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 13 | CONTRIBUTOR | Sometimes the python script didn't exit normally and the lock file remains in the path. In this case, the `file_baton.py` may sleep forever waiting for the lock file to release. This PR will add a warning to show the existing lock file path, let the user better understand which file to delete when the waiting time is t... | true |
2,927,077,303 | Update xla pin | zpcore | closed | [
"open source",
"Merged",
"topic: not user facing"
] | 13 | CONTRIBUTOR | Update xla pin to fix the github test failure issue. [failure link](https://hud.pytorch.org/failure?name=pull+%2F+linux-focal-py3_9-clang9-xla+%2F+test+%28xla%2C+1%2C+1%2C+lf.linux.12xlarge%29&jobName=linux-focal-py3_9-clang9-xla+%2F+test+%28xla%2C+1%2C+1%2C+lf.linux.12xlarge%29&failureCaptures=%5B%22test_call_jax_pytr... | true |
2,927,065,279 | [ROCm] Use alternate mirror for drm repo | jithunnair-amd | closed | [
"module: rocm",
"open source",
"Merged",
"topic: not user facing",
"ciflow/rocm"
] | 4 | COLLABORATOR | Fixes issue with building ROCm manywheel and libtorch images eg. https://github.com/pytorch/pytorch/actions/runs/13887711267/job/38854659005#step:4:8328
```
#53 2.832 Cloning into 'drm'...
#53 2.849 fatal: unable to access 'https://gitlab.freedesktop.org/mesa/drm.git/': The requested URL returned error: 503
#53 2... | true |
2,927,010,157 | [MPS/inductor] Add support for `modified_bessel_i1`. | dcci | closed | [
"Merged",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 3 | MEMBER | cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,926,945,848 | [MPS] Add `bicubic2d_aa` | malfet | closed | [
"Merged",
"topic: improvements",
"release notes: mps",
"ciflow/mps"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149378
Which is currently the most frequently requested op in https://github.com/pytorch/pytorch/issues/141287
Mostly done by refactoring `upsample_bilinear2d_aa` to accept Functor as one of the template arguments, which closel... | true |
2,926,942,262 | [ONNX] Update types in VerificationInfo | justinchuby | closed | [
"module: onnx",
"open source",
"Merged",
"ciflow/trunk",
"release notes: onnx",
"topic: docs"
] | 9 | COLLABORATOR | torch.types.Number was rendered as is in the documentation and can be confusing. We write the original types instead to reduce confusion for users.
| true |
2,926,903,262 | Update torch-xpu-ops commit pin | chunhuanMeng | closed | [
"open source",
"topic: not user facing",
"ciflow/xpu",
"release notes: xpu"
] | 1 | CONTRIBUTOR | Update the torch-xpu-ops commit to [fac0cf0118f3bc82fac4be46fb358546dd191f44](https://github.com/intel/torch-xpu-ops/commit/fac0cf0118f3bc82fac4be46fb358546dd191f44), includes:
- Fix torch xpu build workflow logic
- Refine XCCL build option
- Align python executable to PyTorch
- Ensure conditional setting of `AOT... | true |
2,926,873,145 | [ONNX] Expose verification utilities | pytorchbot | closed | [
"open source",
"release notes: onnx"
] | 1 | COLLABORATOR | Expose verification utilities to public documentation.
- https://github.com/pytorch/pytorch/pull/132530
- https://github.com/pytorch/pytorch/pull/149377 | true |
2,926,865,889 | [PrivateUse1] Allow out-of-tree devices to pass check when validating csr tensor args | shink | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: sparse"
] | 24 | CONTRIBUTOR | Fixes #149303
Fllow-up: #147306
Because we have a dispatch key named `DispatchKey::SparseCsrPrivateUse1` for this case, we allow users to create a csr tensor on out-of-tree devices, so we should also let that pass the check.
| true |
2,926,862,538 | [Inductor-CPU] Faster int8 WoQ GEMM for small M with explicit prefetching and different outer loops | sanchitintel | open | [
"triaged",
"open source",
"ciflow/trunk",
"topic: performance",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 14 | COLLABORATOR | ### Summary
Fixes #148494
Explicitly prefetch the cache lines of the next `B` block to accelerate int8 WoQ (BF16 activation, int8 statically quantized weights) GEMM for small `M` dimension.
Some of this code (outer loops of the GEMM) is being ported over from Intel Extension for PyTorch. The macro-kernel* and ... | true |
2,926,841,542 | [Inductor][CPP] rename shim_mkldnn.h/.cpp to shim_cpu.h/.cpp | Xia-Weiwen | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"intel",
"module: inductor",
"ciflow/inductor"
] | 5 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149372
**Summary**
Previous discussion is here: https://github.com/pytorch/pytorch/pull/148907#issuecomment-2712795600
Rename these files because
- they may hold mkldnn-unrelated code for CPU
- filenames are aligned with files f... | true |
2,926,832,278 | test if free chunk | laithsakka | open | [] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149371
| true |
2,926,799,917 | UNSTABLE pull / cuda12.4-py3.10-gcc9-sm75 / test (pr_time_benchmarks) | malfet | closed | [
"module: ci",
"triaged",
"oncall: pt2",
"unstable"
] | 4 | CONTRIBUTOR | See https://hud.pytorch.org/hud/pytorch/pytorch/main/1?per_page=50&name_filter=pr_time&mergeLF=true <- job passes and fails intermittently with no apparent commit that could have started it
cc @chauhang @penguinwu @seemethere @pytorch/pytorch-dev-infra | true |
2,926,798,771 | [ROCm] Enable several fsdp related UTs | pragupta | closed | [
"oncall: distributed",
"module: rocm",
"triaged",
"open source",
"Merged",
"topic: not user facing",
"ciflow/periodic"
] | 6 | CONTRIBUTOR | Enabling 26 UTs for ROCm in the following files:
- distributed._shard.sharded_optim.test_sharded_optim - 2 UTs
- distributed._shard.sharded_tensor.ops.test_binary_cmp - 4 UTs
- distributed._shard.sharded_tensor.ops.test_init - 3 UTs
- distributed._shard.sharded_tensor.ops.test_embedding - 2 UTs
- distribut... | true |
2,926,767,855 | [MPS] Implement support for `modified_bessel_i1` in eager. | dcci | closed | [
"Merged",
"ciflow/trunk",
"topic: improvements",
"module: mps",
"release notes: mps"
] | 6 | MEMBER | cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen | true |
2,926,758,816 | [ca] fix accumulate grad polyfill when different strides between param and grad | xmfan | closed | [
"module: inductor",
"module: dynamo",
"ciflow/inductor"
] | 2 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149367
* #148516
* #149642
* #149641
* #149229
Optimizers assume param and grad must have same layout, which is enforced by the AccumulateGrad node. We could instead argue that optimizers should handle param/grad having different st... | true |
2,926,740,052 | Register flop formulas for flex attention | carmocca | open | [
"open source",
"topic: not user facing"
] | 1 | CONTRIBUTOR | Addresses https://pytorch.slack.com/archives/C3PDTEV8E/p1742212622454339 | true |
2,926,739,490 | [MPS/BE] Remove decorator that skipped test on macOS 12. | dcci | closed | [
"Merged",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor"
] | 3 | MEMBER | macOS 12 is not really supported anymore.
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,926,674,704 | [AOTI] Add num_runners to AOTIModelPackageLoader | desertfire | closed | [
"Merged",
"ciflow/trunk",
"topic: improvements",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149364
Summary: AOTIModelContainerRunner takes a num_runners argument for multi-threaded inference, but AOTIModelPackageLoader forgot to take the same parameter, although its run() API already expects to take an optional cudaStream_t... | true |
2,926,659,854 | [MPS/BE] @parametrize generation of pointwise_ops. | dcci | closed | [
"Merged",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 3 | MEMBER | Make this less error prone/reduces duplication.
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,926,657,572 | Add x86-simd-sort accelerated sorting | sterrettm2 | open | [
"module: cpu",
"triaged",
"open source",
"topic: not user facing",
"module: inductor"
] | 6 | CONTRIBUTOR | This is a new pull request for the same feature as #127936; the [issue](https://github.com/pytorch/pytorch/issues/140590) affecting that patch [has been resolved](https://github.com/pytorch/pytorch/pull/127936#issuecomment-2686374580). That patch is still closed and doesn't seem to be getting responses, so hopefully to... | true |
2,926,654,593 | [tp] change test_layer_norm_bwd_req_grad test to avoid uneven TP sharding which causes timeout | XilunWu | open | [
"oncall: distributed",
"topic: not user facing"
] | 1 | CONTRIBUTOR | Fixes #148943
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149361
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,926,654,567 | [EZ][Docker] Remove `install_db.sh` | malfet | closed | [
"Merged",
"topic: not user facing"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149360
Which is a vestige of caffe2 days and was no-op since https://github.com/pytorch/pytorch/pull/125092
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,926,635,406 | [Inductor-CPU] Fix int8 WoQ AMX micro-kernel when `block_n` is 16 or 48 | sanchitintel | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: bug fixes",
"topic: not user facing",
"intel",
"module: inductor",
"ciflow/inductor"
] | 9 | COLLABORATOR | ### Summary
When the block-size for `N` dimension is `48` for the AMX GEMM micro-kernel for int8 WoQ (BF16 activation, int8 statically quantized weights), the logic for handling the tail is incorrect - we can't always dequantize 32 elements of weights at a time because we may need to dequantize `32` followed by `16`... | true |
2,926,618,449 | [dynamo] Add mem leak test | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149358
Test for https://github.com/pytorch/pytorch/pull/148480
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,926,615,896 | [ROCm][TunableOp] Minor fix to BLAS logging for ScaledGEMM with no bias vector. | naromero77amd | closed | [
"module: rocm",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/rocm"
] | 3 | COLLABORATOR | Omit the bias type argument for BLAS logging when there is a ScaledGEMM with no bias vector.
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang | true |
2,926,606,905 | Make numpy check optional | atalman | closed | [
"Merged",
"topic: not user facing"
] | 4 | CONTRIBUTOR | We may want to skip numpy smoke tests. Hence making it optional
| true |
2,926,570,422 | [dtensor][tp] debug test_layer_norm_bwd_req_grad timeout when #GPU=3 | XilunWu | open | [
"oncall: distributed",
"topic: not user facing"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149355
### Summary
test_layer_norm_bwd_req_grad has timeout failure when the model dimensions cannot be evenly divided by #GPUs.
### Traige
Run `CUDA_VISIBLE_DEVICES="0,1,2" pytest test/distributed/tensor/test_math_ops.py -s ... | true |
2,926,566,552 | [State_dict] Remove functools.cache and add unit test | mori360 | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (checkpoint)"
] | 8 | CONTRIBUTOR | Fixes https://github.com/pytorch/pytorch/issues/149100
@functools.cache would keep 'self' alive, leading to unexpected memory performance. (e.g. in the issue linked, if the model is deleted, the model's memory is still occupied.)
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-... | true |
2,926,531,221 | xpu: improve error handling and reporting in XPU cmake files | dvrogozh | closed | [
"open source",
"Merged",
"ciflow/trunk",
"ciflow/xpu",
"release notes: xpu"
] | 5 | CONTRIBUTOR | For #149075
* Add a graceful cmake error instead of cryptic one if SYCL runtime is not found:
```
The link interface of target "c10_xpu" contains:
torch::xpurt
but the target was not found.
```
* Suppress unclear cmake error if SYCL compiler is not available and further version query fails:
```
CMa... | true |
2,926,501,829 | [GPU Snapshot] Add Clear History Flag | sraikund16 | closed | [
"module: cuda",
"enhancement",
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: cuda"
] | 12 | CONTRIBUTOR | Summary:
Oftentimes, users complain that a bunch of extra events are prepended to their desired GPU snapshot. This is because they usually attach an OOM logger without knowing and when they go to collect the actual snapshot, it adds all the OOM logger contents. Since OOM and regular snapshot use the same backend, we c... | true |
2,926,472,903 | nccl: upgrade to 2.26.2 to avoid hang on ncclCommAbort | d4l3k | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 7 | MEMBER | Fixes #149153
Yaml generated from:
```
python .github/scripts/generate_ci_workflows.py
```
Test plan:
Repro in https://gist.github.com/d4l3k/16a19b475952bc40ddd7f2febcc297b7
```
rm -rf third_party/nccl
python setup.py develop
```
| true |
2,926,451,167 | cpp_wrapper: precompile a few more commonly used headers, and improve RAIIPyObject interface | benjaminglass1 | closed | [
"open source",
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ci-no-td",
"ciflow/rocm-mi300"
] | 17 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147225
* __->__ #149350
Add includes for torch.device, torch.dtype, torch.layout, and torch.memory_format to the cpp_wrapper common header, so that they get precompiled. Additionally, add move constructors and operator bool to RAIIPyObject... | true |
2,926,449,933 | DISABLED test_unshard_async (__main__.TestFullyShardUnshardMultiProcess) | pytorch-bot[bot] | open | [
"oncall: distributed",
"triaged",
"module: flaky-tests",
"skipped",
"module: fsdp",
"oncall: pt2"
] | 2 | NONE | Platforms: inductor
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_unshard_async&suite=TestFullyShardUnshardMultiProcess&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/38913895101).
Over the past 3 hou... | true |
2,926,403,912 | [Partition] Fix flaky | BoyuanFeng | open | [
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Output buffer names may change sometimes leading to a flaky error. This fix removes the hardcoded output name in unit test.
Fixes #148957
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @... | true |
2,926,393,244 | refresh benchmarks results. | laithsakka | 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):
* __->__ #149347
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,926,339,141 | Dummy test | jamesjwu | closed | [
"ciflow/trunk",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149346
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,926,286,245 | Narrow scope of clangtidy lintrunner on CI to match lintrunner configs | TovlyFB | open | [
"fb-exported",
"topic: not user facing"
] | 5 | CONTRIBUTOR | Summary: `--all-files` for the CLANGTIDY lint is too broad, leading it to produce errors on files that should not be linted like `.cuh` files (see [discussion in PR 148936](https://github.com/pytorch/pytorch/pull/148936)). This PR narrows the scope to respect the include and exclude patterns in the `.lintrunner.toml` c... | true |
2,926,264,997 | [test] build dist | clee2000 | closed | [
"topic: not user facing"
] | 1 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
| true |
2,926,246,464 | [c10d] Add a collective time estimator for NCCL comms | fduwjj | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149343
We want to upstream the feature from new nccl for users to estimate comm time.
Resolves #147753
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,926,218,457 | [MPS] Add inductor support for `modified_bessel_i0`. | dcci | closed | [
"Merged",
"topic: improvements",
"module: mps",
"release notes: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 3 | MEMBER | cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,926,209,915 | [DCP][Draft] Checkpoint daemon process fixes | MeetVadakkanchery | open | [
"oncall: distributed",
"fb-exported",
"release notes: distributed (checkpoint)"
] | 2 | CONTRIBUTOR | Differential Revision: D71336180
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,926,208,734 | [MTIA] Add _mtia_maybeExchangeDevice to MTIA module | PatriceVignola | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 9 | CONTRIBUTOR | Summary: The FlexAttention path uses `_maybe_exchange_device`, so it will be needed eventually for MTIA as well.
Test Plan: `buck2 test fbcode//mtia/host_runtime/torch_mtia/tests:test_torch_mtia_api -- test_maybe_exchange_device`
Reviewed By: chaos5958
Differential Revision: D70072063
| true |
2,926,140,021 | [Inductor] Improve memory locality by iterating over y dimension before x | blaine-rister | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 15 | CONTRIBUTOR | # Feature
Fixes https://github.com/pytorch/pytorch/issues/148718 by reordering the tensor dims to `(z, y, x)`.
As a bonus refactor, block pointers no longer needed the `reorder=True` argument to `self.active_range_trees()`. Since this argument is no longer used anywhere, this PR simply deletes it as opposed to u... | true |
2,926,095,481 | Use enum to select floating point format in FbgemmEmbedding APIs | MatzeB | open | [
"fb-exported",
"ciflow/trunk",
"topic: not user facing"
] | 17 | CONTRIBUTOR | Summary:
Most FBGemmEmbedding APIs currently feature a `bool is_bf16_out` parameter to differentiate between the float16 and bfloat16 format when the output array has type `uint16_t`.
I am in the process of adding E5M2 and E4M3FN formats for output arrays with type `uint8_t`. Instead of adding another parameter, I wou... | true |
2,926,080,999 | Update nightly s390x builds | AlekseiNikiforovIBM | closed | [
"open source",
"Merged",
"topic: not user facing",
"ciflow/binaries_wheel"
] | 3 | COLLABORATOR | This change should fix new nightly build failures for s390x. | true |
2,926,064,974 | [ca] fix dce for side-effects | xmfan | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"module: compiled autograd"
] | 3 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #148516
* #149420
* #149367
* #148694
* #149229
* __->__ #149336
The AOT backward could have contained side effectful ops, so we can't DCE them. Have CA also call the default fx.Node.is_impure which will cover some of the existing cases
... | true |
2,926,055,271 | torch.matrix_exp gets stuck on GPU | jiren-the-gray | open | [
"needs reproduction",
"module: cuda",
"triaged",
"module: deadlock",
"module: linear algebra"
] | 1 | NONE | ### 🐛 Describe the bug
Running `torch.matrix_exp` with [a tensor](https://drive.google.com/file/d/1_BP6SZMKbQqMJ1nikaKrhuGneUsrjAE-/view?usp=sharing) works on CPU but gets stuck on GPU. I am providing a [colab](https://colab.research.google.com/drive/1RLd1q35-xHHANfu7YqLBu69Uv6gONROk?usp=sharing) with a code snippet ... | true |
2,925,946,182 | NUMA Binding Integration with torchrun | raghavhrishi | open | [
"oncall: distributed",
"triaged",
"open source",
"release notes: distributed (c10d)"
] | 5 | NONE | Implements #148689
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,925,925,146 | [Profiler/Easy] Pass Overload Names To Kineto | sraikund16 | closed | [
"enhancement",
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: profiler"
] | 9 | CONTRIBUTOR | Summary: Right now we get Overload names and forward them to the Event List frontend for profiler but we do not forward anything to kineto. This diff checks if there is an overload name for each cpu op and appends it to the name if necessary
Test Plan: Added test in CI
Differential Revision: D71326670
| true |
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