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 |
|---|---|---|---|---|---|---|---|---|
2,805,571,274 | aot inductor intermediate tensor debug printing (setting 2) not working | exclamaforte | open | [
"triaged",
"oncall: pt2"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
Code:
```python
from torch._inductor.fuzzer import ConfigFuzzer, visualize_results #, create_simple_test_model_gpu
import torch
def create_simple_test_model_gpu():
"""Create a simple test model function for demonstration."""
batch_size = 32
seq_length = 50
hidden_size = 768
... | true |
2,805,551,002 | Tag storages with offset in file when with FakeTensorMode | mikaylagawarecki | closed | [
"Stale"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145424
| true |
2,805,533,573 | Implement deepcopy for AOTICompiledModel | yushangdi | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Summary:
Fix https://github.com/pytorch/pytorch/issues/145411
Support deepcopying AOTICompiledModel. The `loader` is shallow copied.
Test Plan:
```
buck2 run fbcode//mode/opt //caffe2/test/inductor:aot_inductor_package -- -r deepcopy
```
Differential Revision: D68524673
cc @voznesenskym @pengui... | true |
2,805,528,964 | [dynamo][hop] test torch.compiling all HOPs | xmfan | closed | [
"Merged",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 1 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145429
* __->__ #145422
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,805,522,917 | [cp] override compute_log_sumexp to True for aten._scaled_dot_product_efficient_attention.default if False | XilunWu | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor",
"module: context parallel"
] | 5 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145421
## Description
Our current CP doesn't support efficient attention when `compute_log_sumexp=False`. `compute_log_sumexp=False` only if that `requires_grad=False` and since PP's [shape inference](https://github.com/pytorch/pyt... | true |
2,805,511,150 | [dynamo][guards] Turn on profiling of guard manager | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"keep-going"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145509
* #145132
* __->__ #145420
* #145351
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,805,511,051 | [dynamo][fbcode] Turn on inline_inbuilt_nn_modules | anijain2305 | closed | [
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* (to be filled)
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,805,498,992 | [BE] Type annotate metrics.py | BoyuanFeng | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov | true |
2,805,497,528 | [BE] Use `value_or` in layer_norm.cpp | malfet | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Now that we have proper optional, no need to do `if (has_value) value else default_value;`
| true |
2,805,492,828 | TopK ROCm Tuning | apakbin | closed | [
"module: rocm",
"open source",
"release notes: cuda",
"ciflow/periodic",
"rocm",
"ciflow/rocm"
] | 4 | CONTRIBUTOR | TopK performance on ROCm performs better on the test suite with the default config.
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,805,482,985 | [dynamo][not ready - just for CI] Remove all builtin skiplist | anijain2305 | closed | [
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"keep-going"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145415
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,805,469,338 | [BE] Fix edge case in translation validation bisector | StrongerXi | closed | [
"Merged",
"topic: not user facing",
"fx",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145414
This patch fixes a small bug for the binary-search algorithm in
translation validation bisector. Fixes #131303.
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,805,465,854 | [c10] catch c10 error and log message | c-p-i-o | closed | [
"oncall: distributed",
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 7 | CONTRIBUTOR | Summary:
Explicitly catch c10 error and log the error message only.
The standard exception `e.what()` below ends up logging the stack trace that is confusing users.
See S477887 for details.
Test Plan:
tested locally.
```
buck test caffe2/test/cpp/c10d:TCPStoreTest
buck2 daemon constraint mismatch: Version mismatch; k... | true |
2,805,450,144 | Add Torchao docs link to Pytorch libraries | jainapurva | closed | [
"module: docs",
"Merged",
"ciflow/trunk",
"release notes: quantization"
] | 13 | CONTRIBUTOR | Add Torchao docs link to the libraries section in torch docs.
cc @svekars @brycebortree @sekyondaMeta @AlannaBurke | true |
2,805,447,813 | cannot pickle 'torch._C._aoti.AOTIModelPackageLoader' object | yushangdi | closed | [
"oncall: pt2",
"export-triaged",
"oncall: export",
"module: aotinductor"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
The AOTI compiled object cannot be deepcopied.
Repro:
```python
import copy
import logging
import torch
from torch.nn import functional as F
class Model(torch.nn.Module):
def __init__(self):
super().__init__()
self.fc1 = torch.nn.Linear(10, 16)
self.relu = torc... | true |
2,805,440,195 | [inductor] fix autotuning memory usage | shunting314 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145410
* #145325
* #140249
We use `cpu_tensor.copy_(gpu_tensor)` to clone mutated kernel arguments for autotuning. The purpose is to avoid increasing peak memory due to the clone. But if `gpu_tensor` is not contiguous, this `cop... | true |
2,805,431,367 | [BE] Type annotate pad_mm.py | BoyuanFeng | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov | true |
2,805,422,848 | Fix staging for CPU tensors in OSS DCP async_save | daulet-askarov | closed | [
"oncall: distributed",
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 7 | CONTRIBUTOR | Summary:
As found in
https://github.com/pytorch/pytorch/issues/144657
for CPU tensors we accidentally skip copying during staging due to using offload to cpu helper, which does a no-op for CPU tensors. This means that if the trainer changes the original source CPU tensor value after launch async save but before the act... | true |
2,805,401,001 | [dynamo][fbcode] Turn on inline_inbuilt_nn_modules | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 7 | CONTRIBUTOR | As title.
Some internal testing at https://fb.workplace.com/groups/241460628989036/permalink/411650015303429/
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,805,397,946 | [export][be] Clean up local imports from export [2/n] | zhxchen17 | closed | [
"fb-exported",
"Stale",
"ciflow/trunk",
"release notes: export"
] | 6 | CONTRIBUTOR | Summary: as title
Test Plan: CI
Differential Revision: D68450108
| true |
2,805,379,687 | [dynamo] Install guard when branching on empty dictionary | StrongerXi | closed | [
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145405
This fixes an internal test failure on guarding NN module hooks, which
started failing after #143997 stopped eagerly guard on dictionary
length.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhu... | true |
2,805,378,982 | [distributions] Catch inf gradient in beta distribution | michael-diggin | open | [
"triaged",
"open source",
"Stale",
"topic: not user facing"
] | 5 | CONTRIBUTOR | Fixes #127387
Under the conditions in the issue, the calculations in [_beta_grad_beta_small](https://github.com/pytorch/pytorch/blob/main/aten/src/ATen/native/Distributions.h#L397) are numerically unstable (due to the `betas = betas * (beta - casted_i);` blowing up, since in that code path `beta` is large), and the ... | true |
2,805,320,057 | Use guard_size_oblivious in debug tensor writer | bobrenjc93 | closed | [
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145650
* __->__ #145403
I've been playing around with graphbreaks and found it sad that the
following code doesn't trace due to a printer calling guard_bool on
size-like strides.
previously this code wouldn't trace, but now it does
... | true |
2,805,286,013 | Update OSS nested tensor docs to focus on NJT | jbschlosser | closed | [
"module: nestedtensor",
"Merged",
"ciflow/trunk",
"topic: docs",
"release notes: nested tensor"
] | 17 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145402
Updated nested tensor docs to be NJT-centric (instead of NST-centric). They now include:
* High-level description of NST vs. NJT + a recommendation to use NJT
* General NJT construction / usage
* torch.compile() integrat... | true |
2,805,276,189 | torch.compile has different numerics for var_mean | eellison | open | [
"triaged",
"oncall: pt2",
"module: inductor"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
```
import torch
from torch._dynamo.utils import same
def foo(x):
return torch.ops.aten.var_mean.correction(x, [1], correction = 0, keepdim = True)
inp = torch.rand([112958, 384], device="cuda", dtype=torch.float16)
print(same(foo(inp), torch.compile(foo)(inp)))
```
> [ERROR]:Accuracy fa... | true |
2,805,262,963 | [auto_functionalized] Support `Tensor(a!)[]?` | zou3519 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145400
Summary:
This is just updating some of the checks to allow the Tensor(a!)[]? type
through.
Fixes #144072
Test Plan:
- new tests
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng... | true |
2,805,212,572 | Update NJT linear_backward to return non-aliased tensor bias grad | soulitzer | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145399
* #145533
* #145531
* #145520
Fixes https://github.com/pytorch/pytorch/issues/141292
| true |
2,805,198,454 | [ROCm] Update rocm.yml and add rocm-mi300.yml | amdfaa | closed | [
"module: rocm",
"open source",
"Merged",
"topic: not user facing",
"ciflow/rocm"
] | 3 | CONTRIBUTOR | - Added another workflow to run the mi300 jobs post-merge.
- Updated rocm.yml to use mi200s instead of mi300s.
- Required to get an idea of how PRs are landing on our mi200s and mi300s.
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,805,189,748 | Add MI200 workflow to rocm | amdfaa | closed | [
"module: rocm",
"topic: not user facing"
] | 1 | CONTRIBUTOR | cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,805,184,484 | Make torchelastic etcd rendezvous publicly importable | H-Huang | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (torchelastic)"
] | 3 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145396
* #145387
Make torchelastic publicly importable by raising error on import etcd lazily, [BE task, row 7](https://docs.google.com/spreadsheets/d/1TtATnLJf1rVXaBQd3X3yYqm9xNN9BIWG7QqRgrFiRRI/edit?gid=1748512924#gid=1748512924)
... | true |
2,805,172,490 | [NVIDIA] Jetson Thor Blackwell Support codegen | johnnynunez | closed | [
"open source",
"Merged",
"ciflow/trunk",
"release notes: cuda",
"topic: build"
] | 11 | CONTRIBUTOR | cc @ptrblck @msaroufim @eqy | true |
2,805,169,621 | [EXPORT AOTI] `aoti_compile_and_package` custom_ops dependecies | bhack | open | [
"oncall: pt2",
"export-triaged",
"oncall: export",
"module: aotinductor"
] | 12 | CONTRIBUTOR | ### 🐛 Describe the bug
I was trying to `export` and `aoti_compile_and_package` a model with this custom op:
https://github.com/state-spaces/mamba/pull/651
`aoti_load_package` is working correctly on the same export env.
But it is not going to work in a fresh env when I don't have the custom ops dependency installed... | true |
2,805,134,685 | Fix tests broken by #145176 | aorenste | closed | [
"Merged",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | #145176 broke
test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_graph_break_on_jit_isinstance_dynamic_shapes
test/dynamo/test_repros.py::ReproTests::test_graph_break_on_jit_isinstance
this backs out the offending change until it can be fixed properly.
Stack from [ghstack](https://github.com/ezya... | true |
2,805,131,319 | Reverting the PR adding Kleidiai-based int4 kernels | albanD | closed | [
"module: cpu",
"Merged",
"ciflow/trunk",
"release notes: linalg_frontend",
"skip-pr-sanity-checks",
"module: inductor",
"module: dynamo",
"ciflow/inductor"
] | 6 | COLLABORATOR | Mitigation for https://github.com/pytorch/pytorch/issues/145273
Reverting https://github.com/pytorch/pytorch/pull/134124 and https://github.com/pytorch/pytorch/pull/144074
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @voznesenskym @penguinwu @EikanWang @Guobing-Chen @zhuhaozhe @blzheng @w... | true |
2,805,126,806 | [BE][export] Fix hop tests with flaky memory leak | yiming0416 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 9 | CONTRIBUTOR | Summary:
As title. Added `torch._dynamo.reset()` for each test
This should fix several flaky tests in `test_hop.py` such as https://github.com/pytorch/pytorch/issues/139073
Test Plan:
```
PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/export/test_hop.py TestHOPCUDA.test_serialize_export_scan_simple_cuda_float32
```
... | true |
2,805,103,168 | Move Dynamo test to skip from expected_failures | zou3519 | closed | [
"Merged",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145390
Summary:
Fixes https://github.com/pytorch/pytorch/issues/116105
This test is consistently failing. It shouldn't be marked as a flaky
test in the CI using the disabld tests mechanism. I'm skipping the test for now.
Test Plan:
... | true |
2,805,085,051 | [DO NOT MERGE] pre-merge runs only on MI200 and post-merge runs on both MI300 | ethanwee1 | closed | [
"open source",
"topic: not user facing"
] | 2 | CONTRIBUTOR | Check to see pre-merge runs only on MI200 and post-merge runs on both MI300 and MI200
| true |
2,805,047,673 | create DISABLED issues for specific runner labels | jeffdaily | open | [
"module: ci",
"triaged"
] | 2 | COLLABORATOR | ### 🚀 The feature, motivation and pitch
ROCm CI runners are a mix of MI200 and MI300 systems. At the time of writing this issue, the MI200 runners are used pre-merge and the MI300 runners are only used post-merge.
- rocm / linux-focal-rocm6.3-py3.10 / test (default, 1, 6, linux.rocm.gpu.mi300.2) [post-merge]
- ro... | true |
2,805,042,611 | Fix test_modules_can_be_imported | H-Huang | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145396
* __->__ #145387
`test_modules_can_be_imported` test is currently failing due to a few missing private modules and this PR gets it working before I start to clean up the public allow list | true |
2,805,029,010 | DISABLED test_view_of_slice_cuda (__main__.TestUnbackedSymintsCUDA) | jeffdaily | closed | [
"module: rocm",
"triaged",
"skipped"
] | 2 | COLLABORATOR | Platforms: rocm
This test was disabled because it is failing on main branch ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22inductor%2Ftest_unbacked_symints.py%3A%3ATestUnbackedSymintsCUDA%3A%3Atest_view_of_slice_cuda%22%5D)).
This seems to be an mi300-specific failure.
cc @sunway513 @jithunnai... | true |
2,805,018,452 | Bail on checking internal overlap when dealing with unbacked symints | bobrenjc93 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor"
] | 19 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145385
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov | true |
2,805,015,868 | [Doc] Add period at the end of the sentence | malfet | closed | [
"Merged",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Test plan: https://docs-preview.pytorch.org/pytorch/pytorch/145384/generated/torch.compiler.disable.html#torch-compiler-disable
Fixes https://github.com/pytorch/pytorch/issues/145365
| true |
2,804,967,430 | Windows Pytorch compiler crash some version of cl.exe. Fix provided | deepbeepmeep | open | [
"module: windows",
"triaged",
"oncall: pt2"
] | 1 | NONE | ### 🐛 Describe the bug
Hi.
In _cpp_builder.py / function 'check_compiler_exist_windows'_ you check for the existence of the cl C++ compiler by calling it with a '/help' option.
However for some versions of cl.exe, the header of the help message contains some invisible invalid utf8 char (here a single xff):
_Compila... | true |
2,804,963,839 | flaky test issues should close themselves if the test doesn't exist anymore | zou3519 | closed | [
"module: ci",
"triaged",
"module: flaky-tests",
"module: infra"
] | 3 | CONTRIBUTOR | I've been going through the pt2 flaky test issues and some of the tests look like they've been deleted. It would be nice for this to be automated.
cc @seemethere @malfet @pytorch/pytorch-dev-infra @clee2000 @wdvr | true |
2,804,829,846 | Use AOTI as inductor backend with precompile mode. | zhxchen17 | closed | [
"fb-exported",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 9 | CONTRIBUTOR | Summary:
Design doc: https://docs.google.com/document/d/1Z15cBBPjoZ7gH00TSgCdgaYko7a7Br-ERd3_hA-g2IU/edit?usp=sharing
In this diff we are trying to introduce some stateful API to enable a global mode which will force inductor to use AOTI as a backend. Different from PR https://github.com/pytorch/pytorch/pull/141700... | true |
2,804,793,268 | Move privateuse1 test out of test_utils and make them serial | albanD | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 12 | COLLABORATOR | Fixes https://github.com/pytorch/pytorch/issues/132720
The reason is that changing the privateuse1 module is global and so can race when other tests happen to check if it is enabled.
| true |
2,804,775,547 | torch.logit works incorrectly when input < eps after torch.compile | meetmul | closed | [
"triaged",
"bug",
"oncall: pt2",
"module: decompositions",
"module: aotdispatch",
"module: pt2-dispatcher"
] | 3 | NONE | ### 🐛 Describe the bug
According to the doc https://pytorch.org/docs/stable/special.html#torch.special.logit, when input < eps, the actual computation is: `ln(eps/(1-eps))`. But this is not what `torch.compile` (with inductor backend) does.
```python
import torch
input = torch.tensor(0.3, dtype=torch.float64)
eps =... | true |
2,804,730,726 | Loading weights using `torch.distributed.checkpoint` leads to large loss values | fingertap | closed | [
"oncall: distributed",
"triaged"
] | 8 | NONE | ### 🐛 Describe the bug
Using different init method leads to losses with different scales:
```python
# NOTE: This will produce loss in range [3, 5]
return init_with_meta(self, auto_wrap_policy)
# NOTE: This will produce normal loss in range [0.4, 1]
return init_with_hf(self, auto_... | true |
2,804,709,801 | Inductor autograd raises an error in the second run may because of fx graph cache | Ronbogo | closed | [
"high priority",
"triaged",
"bug",
"oncall: pt2",
"module: inductor"
] | 4 | NONE | ### 🐛 Describe the bug
```python
import torch
import os
os.environ["CUDA_LAUNCH_BLOCKING"] = "1"
@torch.compile
def func(x):
return x * x
x = torch.tensor(0.0, device="cuda", requires_grad=True)
func(x).backward()
print(x.grad)
```
run the code twice will get a triton error in the second run.
```
Traceback (m... | true |
2,804,701,893 | distributed.new_group with backend GLOO hangs when distributed.split_group was called before | mawi2017 | open | [
"oncall: distributed"
] | 0 | NONE | ### 🐛 Describe the bug
A call to `distributed.new_group` with backend GLOO hangs if `distributed.split_group` was called before and not all ranks are part of a new ProcessGroup (whether in `new_group` and/or `split_group`).
Reproducer:
```python
#!/usr/bin/env python3
import os
import torch
import torch.distributed ... | true |
2,804,630,988 | [torchbench] Increase tolerance for amp only poolformer_m36 | IvanKobzarev | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 9 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145375
https://github.com/pytorch/pytorch/issues/144893
```
python benchmarks/dynamo/timm_models.py --only poolformer_m36 --accuracy --no-translation-validatio --training --amp --device cuda --backend inductor
```
`--floa... | true |
2,804,546,480 | Memory Leak in MPS Backend During LSTM Iterations (Out of Memory Error) | Tyndall-log | open | [
"module: rnn",
"module: memory usage",
"triaged",
"module: mps"
] | 9 | NONE | ### 🐛 Describe the bug
## Bug Description
When running a simple LSTM model on the MPS backend with a repetitive loop, memory usage steadily increases, eventually leading to an Out of Memory error. This issue occurs despite clearing the MPS memory cache using torch.mps.empty_cache() after every iteration. The error h... | true |
2,804,519,510 | [inductor][BE] Enable test_cpu_cpp_wrapper in fbcode | desertfire | closed | [
"fb-exported",
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 9 | CONTRIBUTOR | Differential Revision: D68278174
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @chauhang @aakhundov | true |
2,831,350,477 | UI Update Request: Addition of zentorch backend to OSS dashboard | naveenthangudu | closed | [
"triaged",
"module: benchmark",
"oncall: pt2"
] | 1 | NONE | zentorch is a **PyTorch plugin optimized for deep learning workloads on AMD EPYC™ servers**. It is based on the **ZenDNN Library**.
We ran the zentorch plugin with the **Torchbench**, **HuggingFace**, and **Timm Models** suites in the TorchInductor Performance Dashboard for float32 precision.
![Image](https://githu... | true |
2,804,451,669 | [XPU] torch.nn.functional.pad brings wrong results with torch.compile on Intel GPU | qwqdlt | closed | [
"triaged",
"oncall: pt2",
"module: inductor",
"module: xpu"
] | 3 | NONE | ### 🐛 Describe the bug
torch.nn.functional.pad brings wrong results with torch.compile on Intel GPU (XPU).
```python
import torch
class Model(torch.nn.Module):
def __init__(self):
super().__init__()
def forward(self, *args):
pad = torch.nn.functional.pad(args[0], (0, 1, 1, 0), mode = 'const... | true |
2,804,367,860 | Set `size` when `is_coalesced` is set in `torch.sparse_coo_tensor()` | ILCSFNO | open | [
"module: sparse",
"triaged"
] | 5 | CONTRIBUTOR | ### 📚 The doc issue
The doc of [torch.sparse_coo_tensor()](https://pytorch.org/docs/stable/generated/torch.sparse_coo_tensor.html#torch-sparse-coo-tensor) shows its `Parameters`/`Keyword Arguments` as below:
> size (list, tuple, or torch.Size, optional) – Size of the sparse tensor. If not provided the size will be i... | true |
2,804,298,810 | Enable C++ API parity tests on AArch64 | murste01 | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 10 | CONTRIBUTOR | Re-enables C++ API parity tests on AArch64 which now pass. | true |
2,804,184,484 | Error: torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate more than 1EB memory | Neronjust2017 | closed | [] | 1 | NONE | ### 🐛 Describe the bug
I’m using pytorch lighting DDP training with batch size = 16, 8 (gpu per node) * 2 (2 nodes) = 16 total gpus. However, I got the following
error, which happens in ModelCheckpoint callback. There seems to be an error during synchronization between nodes when saving the model checkpoint. And I de... | true |
2,804,147,705 | The possible error in the pytorch documentation of RNN. | IOT-Duan | open | [
"module: rnn",
"triaged"
] | 0 | NONE | ### 📚 The doc issue
### 1. Where is the documentation?
URL: https://pytorch.org/docs/stable/generated/torch.nn.RNN.html#rnn
### 2. What is the possible error?
The documentation provide a piece of code about " Efficient implementation equivalent to the following with bidirectional=False " which is shown below:
```pyt... | true |
2,804,135,595 | [ARM] Fix `test_float_to_int_conversion_nonfinite` | robert-hardwick | closed | [
"triaged",
"open source",
"module: arm",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 11 | COLLABORATOR | We have broken tests on Aarch64 which are not enabled upstream, this PR will fix and enable those tests.
```
AssertionError: Tensor-likes are not equal!
Mismatched elements: 2 / 3 (66.7%)
Greatest absolute difference: 1 at index (1,)
Greatest relative difference: 1.0842021724855044e-19 at index (1,)
To exec... | true |
2,803,978,803 | removed check for ConvTranspose3D on MPS | mlaves | open | [
"triaged",
"open source",
"release notes: mps"
] | 15 | NONE | Fixes #130256
I removed `TORCH_CHECK(input_t.dim() < 5, "ConvTranspose 3D is not supported on MPS");` as it is actually supported. | true |
2,803,951,881 | No period in docstring of torch.compiler.disable | Tony-Y | closed | [
"module: docs",
"triaged",
"actionable"
] | 0 | CONTRIBUTOR | ### 📚 The doc issue
<img width="829" alt="Image" src="https://github.com/user-attachments/assets/0cc8b4fb-eb13-4ea9-9a09-51c30ff33d3b" />
### Suggest a potential alternative/fix
https://github.com/pytorch/pytorch/blob/3cbc8c54fd37eb590e2a9206aecf3ab568b3e63c/torch/compiler/__init__.py#L228-L231
At least, there sh... | true |
2,803,887,718 | DISABLED test_cache_hot_load_device_cuda_bfloat16_dynamic_False (__main__.TestFxGraphCache) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_cache_hot_load_device_cuda_bfloat16_dynamic_False&suite=TestFxGraphCache&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35972563562).
Over... | true |
2,803,887,595 | DISABLED test_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_True_grad_False (__main__.TestFxGraphCache) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_True_grad_False&suite=TestFxGraphCache&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorc... | true |
2,803,887,453 | DISABLED test_comprehensive_svd_lowrank_cuda_float32 (__main__.TestInductorOpInfoCUDA) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 12 | NONE | Platforms: rocm, inductor
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_comprehensive_svd_lowrank_cuda_float32&suite=TestInductorOpInfoCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35964561116)... | true |
2,803,887,452 | DISABLED test_max_autotune_remote_caching_dynamic_False (__main__.TestMaxAutotuneRemoteCache) | pytorch-bot[bot] | open | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_max_autotune_remote_caching_dynamic_False&suite=TestMaxAutotuneRemoteCache&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35967125228).
Ov... | true |
2,803,886,715 | DISABLED test_max_autotune_remote_caching_dynamic_False (__main__.TestMaxAutotuneRemoteCache) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 1 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_max_autotune_remote_caching_dynamic_False&suite=TestMaxAutotuneRemoteCache&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35970261825).
Ov... | true |
2,803,886,610 | DISABLED test_linear_and_cel_max_autotune (__main__.InplacePaddingTest) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 1 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_linear_and_cel_max_autotune&suite=InplacePaddingTest&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35974314707).
Over the past 3 hours, ... | true |
2,803,775,474 | Fix avg_pool crash with negative numbers | HarryWangATX | open | [
"module: cpu",
"triaged",
"open source",
"Stale",
"release notes: quantization"
] | 4 | NONE | Fixes #145077
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 | true |
2,803,674,921 | FP8: E5M2: The FP8 E5M2 result is not `inf` when casting a FP32 value larger than max normal value of FP8 E5M2 (57344) | fengyuan14 | open | [
"module: docs",
"triaged",
"module: NaNs and Infs",
"module: float8"
] | 2 | COLLABORATOR | ### 🐛 Describe the bug
See the case,
```
>>> import torch
>>> a = torch.tensor(60000, dtype=torch.float)
>>> b = a.to(torch.float8_e5m2)
>>> b
tensor(57344., dtype=torch.float8_e5m2)
```
In theory, the max normal value of fp8 e5m2 is 57344. Any values above 57344 will be represented with fp8 e5m2 `inf`.
https://git... | true |
2,803,609,111 | [autograd] inconsistent jvp results | Luciennnnnnn | open | [
"module: autograd",
"triaged",
"module: functorch"
] | 2 | NONE | ### 🐛 Describe the bug
I have two implementations of an isometry loss function that uses Jacobian-vector products (JVP), but they're producing different gradients:
```python
import torch
vae = VAEModel()
vae.to("cuda")
func = lambda z: vae.decode(z, return_dict=False)[0]
input = torch.randn(1, 8, 8, 8, device="cu... | true |
2,803,586,493 | Missing docs for `torch._foreach_copy_` | zeshengzong | closed | [
"module: docs",
"triaged",
"needs design",
"module: mta"
] | 4 | CONTRIBUTOR | ### 📚 The doc issue
Here's an implementation of `torch._foreach_copy_`, but seems missing docs for users to know about it.
```python
>>> a = torch.randn(3,3)
>>> b = torch.randn(3,3)
>>> c = torch.zeros(3,3)
>>> d = torch.zeros(3,3)
>>> torch._foreach_copy_([c,d], [a,b])
[tensor([[ 0.6597, -0.1195, 0.2595],
... | true |
2,803,558,946 | ehnace logging statically known by adding size_oblivious(..) | laithsakka | closed | [
"Merged",
"ciflow/trunk",
"release notes: fx",
"fx",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145354
after the diff
```
[0/0_1] eval size_oblivious(Eq(s1, 1)) == False [statically known]
[0/0_1] eval size_oblivious(Eq(u0, 1)) == False [statically known]
[0/0_1] eval size_oblivious(Eq(s0, 1)) == False [statically known]
... | true |
2,803,547,260 | [dtensor][cp] experiment: call flex_attention on DTensor | XilunWu | open | [
"oncall: distributed",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147603
* #147517
* #147516
* #147515
* #147514
* __->__ #145353
```
File "/data/users/xilunwu/oss/pytorch/torch/_higher_order_ops/flex_attention.py", line 459, in flex_attention_fake_impl
out = _permute_strides(out, query.stride())... | true |
2,803,533,138 | DISABLED test_extern (__main__.NumBytesMetricTests) | pytorch-bot[bot] | open | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_extern&suite=NumBytesMetricTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35959227973).
Over the past 3 hours, it has been determine... | true |
2,803,499,936 | [dynamo] Support fx map_aggregate | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"keep-going"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145132
* #145420
* __->__ #145351
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,803,421,635 | [CUDA] Illegal Memory Access with `ReplicationPad2D` | jwnhy | open | [
"module: nn",
"module: cuda",
"triaged",
"module: edge cases",
"topic: fuzzer"
] | 0 | NONE | ### 🐛 Describe the bug
This is found by fuzzer.
```python
import torch
m1 = torch.randn(1, 4484, 2).cuda()
model = torch.nn.ReplicationPad2d((0, 0, 0, 1826029949)).cuda()
model(m1)
```
```bash
computer-sanitizer python3 poc.py
```
compute-sanitizer log
```
========= COMPUTE-SANITIZER
========= Invalid __global__ ... | true |
2,803,395,105 | [CUDA] Illegal Memory Access with `AdaptiveAvgPool2d` | jwnhy | open | [
"module: nn",
"module: cuda",
"triaged",
"module: edge cases",
"topic: fuzzer"
] | 1 | NONE | ### 🐛 Describe the bug
```python
import torch
m1 = torch.randn(40, 40, 40).cuda()
model = torch.nn.AdaptiveAvgPool2d(output_size=[1, 67108607]).cuda()
model(m1)
```
```bash
compute-sanitizer python3 poc.py
```
Sanitizer Backtrace:
```
========= Invalid __global__ write of size 4 bytes
========= at void at::nat... | true |
2,803,377,044 | [inductor][2/N] triton support post-#5512, user-defined triton kernels | davidberard98 | closed | [
"Merged",
"ciflow/trunk",
"topic: bug fixes",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 11 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145515
* __->__ #145348
* #145051
Triton commit 5220 adds tuple support in Triton (changing the indexing format in AttrsDescriptor) and commit 5512 replaces AttrsDescriptor with raw tuples. This PR fixes user-defined triton kernel handling... | true |
2,803,374,767 | Fix deprecated pytorch_sphinx_theme editable installation in PyTorch CI | huydhn | closed | [
"Merged",
"Reverted",
"topic: not user facing",
"ciflow/nightly",
"test-config/default",
"ci-no-td"
] | 7 | CONTRIBUTOR | Fixes https://github.com/pytorch/pytorch/issues/145221
~~Pip editable install is going to be deprecated soon https://github.com/pypa/pip/issues/11457. The fix here is just to remove it and install `pytorch_sphinx_theme` normally.~~
It turns out that `-e git+https://github.com/pytorch/pytorch_sphinx_theme.git#egg=... | true |
2,803,297,814 | DISABLED test_graph_break_inside_ctx_with_side_effects (__main__.ContextlibContextManagerTests) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: dynamo"
] | 5 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_graph_break_inside_ctx_with_side_effects&suite=ContextlibContextManagerTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35960839362).
... | true |
2,803,297,782 | DISABLED test_partitioning_with_view (__main__.MinCutPartitioningTests) | pytorch-bot[bot] | open | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_partitioning_with_view&suite=MinCutPartitioningTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35951349745).
Over the past 3 hours, i... | true |
2,803,297,781 | DISABLED test_cat (__main__.NumBytesMetricTests) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_cat&suite=NumBytesMetricTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35951074517).
Over the past 3 hours, it has been determined f... | true |
2,803,294,113 | DISABLED test_partitioning_unremat_bw (__main__.MinCutPartitioningTests) | pytorch-bot[bot] | open | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 7 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_partitioning_unremat_bw&suite=MinCutPartitioningTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35952027696).
Over the past 3 hours, ... | true |
2,803,275,661 | PEP585: Missed conversions | aorenste | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"keep-going",
"suppress-bc-linter",
"release notes: optim"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145342
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @LucasLLC @MeetVadakkanchery @mhorowitz @pradeepfn @ekr0
Differential Revision: [D68785969](https://our.internmc.facebook.com/intern/diff... | true |
2,803,227,004 | [MPSInductor] Add `gamma` op | malfet | closed | [
"Merged",
"topic: not user facing",
"release notes: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145341
By moving `gamma` and `log_gamma` implementation from `Gamma.metal` to `c10/metal/special_math.h`
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipis... | true |
2,803,216,713 | internal compiler error: in extract_insn when compiling pytorch with xpu with gcc 12 | jingxu10 | closed | [
"triaged",
"module: xpu"
] | 1 | COLLABORATOR | ### 🐛 Describe the bug
As title, compilation with XPU support fails with the issue below. Compiling CPU succeeds.
```
...
/opt/intel/oneapi/compiler/2025.0/bin/compiler/../../include/sycl/detail/builtins/builtins.hpp:235:1: warning: multi-line comment [-Wcomment]
235 | // clang++ -[DU]__SYCL_DEVICE_ONLY__ -x c++ m... | true |
2,803,160,156 | Add MKLDNN support for Half GELU | CaoE | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/periodic",
"ciflow/inductor",
"ciflow/linux-aarch64"
] | 6 | COLLABORATOR | Add MKLDNN support for Half GELU to align with BFloat16. | true |
2,803,158,527 | [S481486] [MTIA] Correct mtia.device_count() API | chaos5958 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Summary:
Prev: Count the number of "general" accelerators
Curr: Count the number of MTIA devices by using the MTIA runtime API
Test Plan:
```
buck test //mtia/host_runtime/torch_mtia/tests:test_torch_mtia_api -- -r test_get_device_count
```
https://www.internalfb.com/intern/testinfra/testrun/8162774572631995
Revie... | true |
2,803,139,096 | [libTorch] Model initialization on multi-device is slow. It seems to run sequentially in multi-thread | thammegowda | open | [
"module: cpp",
"triaged"
] | 1 | NONE | > Originally posted at https://discuss.pytorch.org/t/x/215093
I am using libTorch for inference on multiple GPU devices. I use one-thread-per-device to initialize and then to run inference. Inference (i.e. `forward()` ) works fast as expected, however the initialization step seems to run sequentially. Once the initia... | true |
2,803,124,669 | DISABLED test_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_True_grad_True (__main__.TestFxGraphCache) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 8 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_True_grad_True&suite=TestFxGraphCache&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch... | true |
2,803,124,136 | DISABLED test_mm_plus_mm (__main__.TestPatternMatcher) | pytorch-bot[bot] | open | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 6 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_mm_plus_mm&suite=TestPatternMatcher&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35949080113).
Over the past 3 hours, it has been determ... | true |
2,803,124,090 | DISABLED test_cache_hot_load_device_cuda_bfloat16_dynamic_False (__main__.AOTAutogradCacheTests) | pytorch-bot[bot] | open | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: dynamo"
] | 4 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_cache_hot_load_device_cuda_bfloat16_dynamic_False&suite=AOTAutogradCacheTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35949205522).
... | true |
2,803,124,089 | DISABLED test_warn_on_invalid_torch_function_standalone_class (__main__.TestTorchFunctionWarning) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"module: __torch_function__"
] | 3 | NONE | Platforms: asan, linux, mac, macos, rocm, win, windows, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_warn_on_invalid_torch_function_standalone_class&suite=TestTorchFunctionWarning&limit=100) and the most recent trunk [workflow logs](https:... | true |
2,803,124,088 | DISABLED test_reorder_peak_memory (__main__.TestOperatorReorderForPeakMemory) | pytorch-bot[bot] | open | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 5 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_reorder_peak_memory&suite=TestOperatorReorderForPeakMemory&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35949205522).
Over the past 3 ho... | true |
2,803,116,019 | [WIP] [AOTInductor] Use AtenTensorHandle as the constant map's holder. | muchulee8 | closed | [
"Stale",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145331
Summary:
Previously, all constants are held by RAIIAtenTensorHandle, which
implicitly indicates constants' lifetime is managed by the model itself.
We want to provide the flexibility to let users control the tensor's
lifetime ... | true |
2,803,103,195 | [be] fix flaky test aot_export_ cond caused by free symbol lifting and automatic dynamic shape | ydwu4 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 9 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145330
Fixes https://github.com/pytorch/pytorch/issues/139998#issuecomment-2605908426.
It seems to be an issue caused by the interaction between dynamoed hop X automatic dynamic shape X auto_lift_free symbols. The immediate err... | true |
2,803,089,008 | [dynamo] Save/restore system random state more carefully | williamwen42 | open | [
"triaged",
"oncall: pt2",
"module: dynamo"
] | 0 | MEMBER | Internal example: [T207752792](https://www.internalfb.com/intern/tasks/?t=207752792)
There are some OSS unittests that are failing internally (e.g. `test/dynamo/test_unspec.py::UnspecTests::test_random_object`) likely because some internal logging code is burning some random numbers, leading to differing resulting ran... | true |
2,803,084,246 | [audio hash update] update the pinned audio hash | pytorchupdatebot | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 6 | COLLABORATOR | This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned audio hash. | true |
2,803,080,575 | [utilization] pipeline to create clean db records | yangw-dev | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 5 | CONTRIBUTOR | upload_utilization_script to generate db-ready-insert records to s3
- generate two files: metadata and timeseries in ossci-utilization buckets
- convert log record to db format ones
- add unit test job for tools/stats/
Related Prs:
setup composite action for data pipeline: https://github.com/pytorch/pytorch/pull... | true |
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