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 |
|---|---|---|---|---|---|---|---|---|
2,803,050,923 | [inductor][triton] refactor ASTSource.make_ir integration | davidberard98 | open | [
"triaged",
"oncall: pt2",
"module: inductor",
"upstream triton",
"module: user triton"
] | 2 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
User-defined Triton kernel support in Inductor relies on being able to get the TTIR for a given kernel, so that Inductor do mutability analysis on the TTIR. (in triton_kernel_wrap.py)
As the Triton implementation changes, the implementation is getting more and more unwieldy as... | true |
2,803,047,072 | [inductor] let inplace-padding support cpp-wrapper | shunting314 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145410
* __->__ #145325
* #140249
Some context: Inplace padding is an optimization to do padding in place. E.g., if a tensor has size [2048, 2047] and stride [2048, 1]. When we need pad one extra element to the end of each row (e.g. during... | true |
2,803,037,398 | Add stft option to align window for center = false | jackzhxng | closed | [
"release notes: onnx"
] | 7 | CONTRIBUTOR | Adds a flag for aligning the start of the window to the start of the signal when center = false (aka window-based padding). The same flag was proposed [a while ago](https://github.com/librosa/librosa/issues/596) for Librosa as well.
For internal reasons, we need to add this behavior to the op and this flag allows us... | true |
2,803,036,276 | fix a small typo in comments | haifeng-jin | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 10 | COLLABORATOR | A minor typo fix.
The description was confusing with the typo.
| true |
2,803,025,609 | [S481486] Move MTIA dynamic library loading from __init__.py to a separate module | chaos5958 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 7 | CONTRIBUTOR | Summary: As titled
Test Plan:
- Passed CI tests
buck2 test 'fbcode//mode/opt' fbcode//ai_infra/distributed_ai/pyper_local_run/tests/integration_tests:test_icvr_e2e_gpu -- --exact 'ai_infra/distributed_ai/pyper_local_run/tests/integration_tests:test_icvr_e2e_gpu - test_icvr_e2e_gpu (ai_infra.distributed_ai.pyper_... | true |
2,803,020,858 | inductor: Explicitly test that torch.compile(option=...) does something | c00w | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145321
This would have prevented https://github.com/pytorch/pytorch/pull/139833 from dropping the triggers.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipis... | true |
2,803,018,380 | [BE] Bump TIMM pin | desertfire | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,803,007,264 | Windows builds with VS2022 | Camyll | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/binaries_wheel",
"test-config/default"
] | 7 | CONTRIBUTOR | [Fixes #ISSUE_NUMBER
](https://github.com/pytorch/pytorch/issues/128835) | true |
2,803,003,734 | [CI][CUDA][MultiGPU][Regression] Skip a failure due to https://github.com/pytorch/pytorch/issues/139520 | nWEIdia | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 8 | COLLABORATOR | Related: https://github.com/pytorch/pytorch/issues/139520
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov @atalman @malfet @ptrblck @eqy @tingl... | true |
2,803,003,385 | [testing] Consult test/dynamo_expected_failures and test/dynamo_skips when PYTORCH_TEST_WITH_INDUCTOR=1 | masnesral | closed | [
"topic: not user facing",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145317
| true |
2,803,002,365 | [do not land] test base commit | FindHao | closed | [
"ciflow/trunk",
"topic: not user facing",
"not4land",
"ciflow/inductor",
"keep-going"
] | 1 | MEMBER | check ci errors for base commit | true |
2,802,986,249 | [BE][export] Change custom_op registeration style | yiming0416 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Summary:
`test_unbacked_bindings_for_divisible_u_symint` has been flaky for a while due to
```
Tried to register an operator (mylib::foo(Tensor a, Tensor b) -> Tensor) with the same name and overload name multiple times.
```
It is likely due to when all variants of this test are being run (non-strict, retrace, serdes... | true |
2,802,977,897 | Fix ExecuTorch, XLA, Triton hash updates | huydhn | closed | [
"Merged",
"topic: not user facing",
"test-config/default"
] | 3 | CONTRIBUTOR | Fix some stale hash updates https://github.com/pytorch/pytorch/pulls/pytorchupdatebot reported by @izaitsevfb
* XLA and ExecuTorch now wait for all jobs in pull instead of hardcoding the job names which are not correct anymore and the bot waits forever there
* Trion commit hash hasn't been updated automatically si... | true |
2,802,976,353 | [test] editable install pytorch sphinx | clee2000 | closed | [
"topic: not user facing"
] | 1 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
| true |
2,802,917,625 | [MPS][BE] Move vectypes from Quantized to utils | malfet | closed | [
"better-engineering",
"Merged",
"topic: not user facing",
"release notes: mps",
"ciflow/mps"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145312
That allows one to get appropriate vectorized types for templates using `c10::metal::vec2type_t<>` or `c10::metal::vec4type_t<>` | true |
2,802,883,829 | [BE] Type annotation for `_inductor/dependencies.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 |
2,802,875,025 | [Utilization] post-test-process workflow | yangw-dev | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 18 | CONTRIBUTOR | # Overview
Add reusable workflow to trigger the post-test right after each test job is complete.
Cousion with pr to setup the runner permissions:
Add m fleet instances: https://github.com/pytorch-labs/pytorch-gha-infra/pull/595/files
add to lix fleet:https://github.com/pytorch/ci-infra/pull/322/files
Currently... | true |
2,802,859,208 | [MPS][BE] Prepare Gamma funcs to be moved ot headers | malfet | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"release notes: mps",
"ciflow/mps"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145341
* __->__ #145309
----
- Use `float y = 1.0 + metal::frac(x)` instead of complex
```metal
float y = x;
int n = 0;
bool less_than_one = (y < 1.0);
// Add or subtract integers as necessary to bring y into (1,2)
if (less_than_on... | true |
2,802,855,518 | [BE] Remove test_ops_gradients from FIXME_inductor_dont_reset_dynamo | masnesral | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor",
"keep-going"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145308
| true |
2,802,853,026 | [BE] Remove test_ops from FIXME_inductor_dont_reset_dynamo | masnesral | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor",
"keep-going"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145307
| true |
2,802,849,762 | [BE] Remove test_modules from FIXME_inductor_dont_reset_dynamo | masnesral | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor",
"keep-going"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145308
* __->__ #145306
| true |
2,802,849,407 | [dynamo] Use ConstDictVariable tracker for obj.__dict__ | anijain2305 | closed | [
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145305
* #145246
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,802,842,580 | Fix for failure in D68425364 | aorenste | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: fx",
"fx",
"keep-going"
] | 10 | CONTRIBUTOR | Summary: Back out change from #145166 which causes an internal model to fail.
Differential Revision: D68459095
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,802,831,897 | Add unique identifer to bmm thread_mm functions | dmpots | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 13 | CONTRIBUTOR | Summary:
The bmm template generates code like this
```
template<bool accum>
void cpp_fused_bmm_66_micro_gemm(...) {
...
}
void single_thread_mm() {
...
cpp_fused_bmm_66_micro_gemm(...)
...
}
void threaded_mm() {
...
cpp_fused_bmm_66_micro_gemm(...)
...
}
void cpp_fus... | true |
2,802,827,591 | [dynamo] Re-enable `test_fs` family for dynamo | StrongerXi | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 8 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145302
Fixes #91467. | true |
2,802,814,342 | Add fused rms_norm implementation for MPS backend | manuelcandales | closed | [
"Merged",
"topic: improvements",
"release notes: mps",
"ciflow/mps"
] | 5 | CONTRIBUTOR | Adding a fused rms_norm implementation for MPS backend. This eliminates most of the current CPU overhead, making this computation GPU bound and improving latency of rms_norm by **15x** on MPS backend
The metal shader was adapted from MLX: https://github.com/ml-explore/mlx/blob/e6a7ab967530866eb89c013f833f7c525bec10ca/... | true |
2,802,805,896 | [ONNX] derivative not implemented error when using torch.cond | ionymikler | closed | [
"module: onnx",
"oncall: pt2",
"export-triaged",
"oncall: export"
] | 15 | NONE | ### 🐛 Describe the bug
I am trying to export to ONNX format a model who's traversed computation graph depends on certain calculations done on the data.
The model is a variation of the Visual Transformer (VIT); In essence, additionally to the traditional attention blocks (teal blue in the diagram down under), some in... | true |
2,802,769,451 | [dynamo] Re-enable a AOT-Dispatch test with Dynamo | StrongerXi | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145299
Fixes #124590. | true |
2,802,754,650 | [hop][be] add utils for more comprehensive input alias and mutation | ydwu4 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145298
This PR implements the idea of checking input mutations through tensor version and check aliasing via storage from @zou3519. Previously, we rely on whether there's a in place op that takes placeholder input, which doesn't t... | true |
2,802,741,277 | Added new lines of code to force cuda aware MPI usage and also to support fp16 and reduce_scatter communication operation | Shoaib-git20 | closed | [
"oncall: distributed",
"open source",
"release notes: distributed (c10d)"
] | 2 | NONE | cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,802,715,566 | [torchbench] Fix mobilenetv2 inductor freezing fail_accuracy | IvanKobzarev | 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):
* __->__ #145296
Issue: https://github.com/pytorch/pytorch/issues/144891
inductor freezing effectively enables inductor conv-batchnorm fusion. This fusion increases the accuracy error.
More context about this: https://github.com/pytorch... | true |
2,802,695,587 | [BE][MPS] Mark gamma inputs as const | malfet | closed | [
"Merged",
"topic: not user facing",
"release notes: mps",
"ciflow/mps"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145312
* #145309
* __->__ #145295
* #145289
Doubt it will change the perf, but it's good to correctly mark const inputs as const | true |
2,802,680,792 | [ROCm] miopen benchmark behavior now better aligns with cudnn | jeffdaily | closed | [
"module: rocm",
"triaged",
"open source",
"Merged",
"release notes: rocm",
"release notes: nn",
"ciflow/rocm"
] | 6 | COLLABORATOR | The default benchmark setting is now false. The new miopen behavior means when benchmarking is disabled, for any shape that doesn't have a find hit, then it will do a quick search (same behavior as the prior default), and use that result. Now when benchmark is enabled, it will perform an exhaustive search and update an... | true |
2,802,656,542 | [dynamo] Fix numpy test accuracy error induced by randomness divergence | StrongerXi | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 8 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145293
Previously `TestGradient.test_second_order_accurate` was failing because
of a small tolerance error (0.03... which is above the 0.03 tolerance).
Upon investigating, `np.random.random` caused some divergence between
eager and ... | true |
2,802,619,995 | [BE][export] Remove disabled floordiv test in export | yiming0416 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 5 | CONTRIBUTOR | Summary:
Removing `test_slice_with_floordiv` as it doesn't raise the Runtime Error as expected and it has been disabled since the time it was added https://github.com/pytorch/pytorch/issues/131101
For the case that we expect to fail, it actually returns an empty tensor. This is consistent with the following snippet wh... | true |
2,802,613,413 | [BE] Add type annotations to cudagraph_utils.py and test_cases.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 |
2,802,591,247 | XPU builds validations | atalman | closed | [
"triaged",
"module: xpu"
] | 4 | CONTRIBUTOR | ### 🐛 Describe the bug
We would like to validate XPU binary builds on Linux and Windows platforms. Running following scenarios:
1. Install XPU binary on machine without Intel GPU and no Intel Driver installed. Run smoke test: ```/pytorch/.ci/pytorch/smoke_test# python smoke_test.py --package torchonly``` Post full l... | true |
2,802,586,847 | [BE][MPS] Move Gamma kernels to its own file | malfet | closed | [
"Merged",
"topic: not user facing",
"release notes: mps",
"ciflow/mps"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145312
* #145309
* #145295
* __->__ #145289
| true |
2,802,558,739 | Add multi env variable support to configs | oulgen | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"ci-no-td"
] | 11 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145288
| true |
2,802,552,939 | [export][be] Clean up local imports from export [1/n] | zhxchen17 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: export"
] | 5 | CONTRIBUTOR | Summary: as title
Test Plan: CI
Differential Revision: D68449844
| true |
2,802,541,880 | update get start xpu | pytorchbot | closed | [
"open source"
] | 3 | COLLABORATOR | - Support new Intel client GPU on Windows [Intel® Arc™ B-Series graphics](https://www.intel.com/content/www/us/en/products/docs/discrete-gpus/arc/desktop/b-series/overview.html) and [Intel® Core™ Ultra Series 2 with Intel® Arc™ Graphics](https://www.intel.com/content/www/us/en/products/details/processors/core-ultra.htm... | true |
2,802,535,990 | Updates NCCL user buffer registration test for NCCL 2.24.3 | syed-ahmed | closed | [
"oncall: distributed",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 7 | COLLABORATOR | NCCL 2.24.3 changed the content of the debug output for NVLS registration. We use this debug output in our test suite to check if NVLS was successfully registered or not. Hence we need to specialize for the NCCL version in the test.
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->_... | true |
2,802,518,264 | [dynamo] `torch.compile` ICE on using a sourceless unspecialized NN module as branching condition | StrongerXi | closed | [
"triaged",
"oncall: pt2",
"module: dynamo",
"dynamo-triage-jan2025"
] | 3 | CONTRIBUTOR | ### 🐛 Describe the bug
This was exposed by #144906; minimal repro:
```python
import torch
class Cache(torch.nn.Module):
def __init__(self):
super().__init__()
self.key_cache = []
def __len__(self):
return len(self.key_cache)
@torch.compile(backend="eager")
def f(x):
cache = Cac... | true |
2,802,505,066 | [BE][export] add "+export" logging to de/serialization | pianpwk | closed | [
"Merged",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export"
] | 7 | CONTRIBUTOR | adds de/serialization debug logging to `TORCH_LOGS="+dynamic"` | true |
2,802,478,724 | Dtype available for `torch.optim.Adam` and `torch.optim.AdamW` when `fused=True` is different from described | ILCSFNO | closed | [
"module: optimizer",
"triaged"
] | 2 | CONTRIBUTOR | ### 📚 The doc issue
The docs of [`torch.optim.AdamW()`](https://pytorch.org/docs/stable/generated/torch.optim.AdamW.html#torch.optim.AdamW) and [`torch.optim.Adam()`](https://pytorch.org/docs/stable/generated/torch.optim.Adam.html#torch.optim.Adam) shows their shared parameters as shown below:
> fused (bool, optiona... | true |
2,802,402,833 | When calling a custom function of a LlamaForCausalLM using FSDP causes RuntimeError | fingertap | closed | [
"oncall: distributed"
] | 4 | NONE | ### 🐛 Describe the bug
Error message:
```
[rank0]: Traceback (most recent call last):
...
[rank0]: logits = self.forward(input_ids, attention_mask=attention_mask).logits
[rank0]: File "/data/miniconda3/envs/verl/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 1163, in forward
[ra... | true |
2,802,335,734 | Use TORCH_CHECK instead of std::runtime_error in stack.h and ivalue.h | janeyx99 | closed | [
"better-engineering",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | TORCH_CHECK will preserve the stacktrace for when TORCH_CPP_SHOW_STACKTRACES=1, whereas std::runtime_error will not.
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145280
| true |
2,802,241,293 | [SkipFiles] New modules added to torch.* are inlined by default | zou3519 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145279
This PR:
- makes it so that new modules added to torch are inlined by default
- adds a list of the previously "skipped by default" modules to avoid
regressing anything. This is a new MOD_SKIPLIST list that is consulted
in ... | true |
2,802,218,993 | [DO NOT MERGE] Testing mi300 on periodic | ethanwee1 | closed | [
"open source",
"ciflow/trunk",
"release notes: rocm",
"topic: not user facing"
] | 5 | CONTRIBUTOR | Testing mi300 runner on periodic workflow as we only see 261 distributed tests being run for mi300's on the trunk workflow while the periodic workflow runs over 3000.
| true |
2,802,206,602 | Torch Compile edge case with != versus is not | CoffeeVampir3 | closed | [
"high priority",
"triaged",
"bug",
"oncall: pt2",
"module: dynamo"
] | 2 | NONE | ### 🐛 Describe the bug
Here's some reproduction code on latest torch. There's a failure to compile when there's a `!= None` but it's fine with `is not None` given the exact torch compile settings I've shown in particular. It's a strange edge case and only happens on some compile settings. Thanks for your time.
Here'... | true |
2,802,119,061 | F.scaled_dot_product_attention get query @ key | JustinKai0527 | closed | [
"triaged",
"module: sdpa"
] | 1 | NONE | Hello, everyone, I want to know how to get the query @ key in F.scaled_dot_product_attention, I use the below code but still got OOM, I can use the F.scaled_dot_product attention and don't get the OOM, plz help...
```
def chunk_dot_product(query, key, num_chunks=2000):
# query, key shape: [batch_size, num_heads, se... | true |
2,802,087,224 | [HOTFIX] Remove third_party/kleidai | ezyang | closed | [
"topic: not user facing"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145275
Signed-off-by: Edward Z. Yang <ezyang@meta.com> | true |
2,801,980,430 | AttributeError: '_OpNamespace' 'aten' object has no attribute 'momentum' | VascoSch92 | open | [
"needs reproduction",
"triaged",
"module: custom-operators",
"module: library",
"oncall: pt2",
"module: pt2-dispatcher",
"module: core aten"
] | 4 | NONE | ### 🐛 Describe the bug
I have a problem with the following piece of code
```python
import torch
from torch import nn
class GatedLinearUnit(nn.Module):
def __init__(self, in_features: int) -> None:
super().__init__()
self.linear_1 = nn.Linear(in_features=in_features, out_features=in_features)
... | true |
2,801,883,856 | cloning third_party/kleidiai fails | AmdSampsa | closed | [
"triage review",
"module: build",
"module: ci"
] | 22 | COLLABORATOR | ### 🐛 Describe the bug
When trying to compile pytorch from scratch, starting with:
```bash
git submodule update --init --recursive
```
I hit
```
Cloning into '/root/pytorch-main/third_party/kleidiai'...
remote: GitLab is not responding
fatal: unable to access 'https://git.gitlab.arm.com/kleidi/kleidiai.git/': The req... | true |
2,801,883,039 | Remove unnecessary HPUHooksInterface method | moksiuc | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 10 | CONTRIBUTOR | getDefaultHPUGenerator is no longer necessary | true |
2,801,851,934 | [Test][Inductor] Fix test_tma_graph_breaks | Aidyn-A | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 6 | COLLABORATOR | Per title. Before these changes, below tests:
```
test_triton_kernels.py::KernelTests::test_tma_graph_breaks_after_data_ptr_False_after_create_desc_False
test_triton_kernels.py::KernelTests::test_tma_graph_breaks_after_data_ptr_False_after_create_desc_True
test_triton_kernels.py::KernelTests::test_tma_graph_breaks_... | true |
2,801,803,076 | [NVIDIA] RTX50 Blackwell Support codegen | johnnynunez | closed | [
"open source",
"Merged",
"ciflow/trunk",
"release notes: cuda",
"topic: new features"
] | 6 | CONTRIBUTOR | cc @ptrblck @msaroufim @eqy | true |
2,801,785,959 | Improve the caching allocator test for raw alloc | 1274085042 | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 31 | CONTRIBUTOR | 1 Prevent block allocated by torch._C._cuda_cudaCachingAllocator_raw_alloc from affecting torch.cuda.empty_cache() in other unit tests
2 Additionally, tested the changes to raw_delete in https://github.com/pytorch/pytorch/pull/131114
@jeffdaily @albanD @houseroad @eqy @aaronenyeshi | true |
2,801,780,958 | `torch.compile` may produce wrong result with `torch.nn.functional.interpolate`. | Zoeeeeey | closed | [
"oncall: pt2"
] | 1 | NONE | ### 🐛 Describe the bug
Hi! I found that the following model gives different results after compile.
And this inconsistency appears in torch 2.7.0, while the process is normal in version 2.5.1.
```python
import torch
inp_args = [
torch.nn.Parameter(torch.randn([23, 1, 1, 1, 1], dtype=torch.float32), requires_grad... | true |
2,801,663,496 | `torch.ops.aten.embedding_dense_backward` Crashes with Out-of-Bounds Indices On CPU | WLFJ | open | [
"module: crash",
"module: error checking",
"triaged",
"module: embedding",
"topic: fuzzer"
] | 1 | NONE | ### 🐛 Describe the bug
An error occurs in the `torch.ops.aten.embedding_dense_backward` function because the indices tensor contains values that exceed the num_weights parameter. In the provided code, num_weights is set to 0, causing all index accesses to be out of bounds. This results in a crash due to out-of-bounds... | true |
2,801,648,413 | Calculation Results Become NaN After Using `torch.compile` with `Matmul+Concat4+Mul+Linear+Tan`. | Zoeeeeey | closed | [
"oncall: pt2"
] | 1 | NONE | ### 🐛 Describe the bug
Hi! I found that the following model gives Nan results after compile.
```python
import torch
inp_args = [
torch.nn.Parameter(torch.randn(size, dtype=torch.float32), requires_grad=True)
for size in [[1], [33, 1, 1, 1, 1], [33, 1, 1, 1, 1]]
]
def fn():
v10_0 = torch.nn.Parameter(t... | true |
2,801,555,566 | Fix SEGFAULT when None arg was passed in GraphContext.op(..) | Tytskiy | closed | [
"oncall: distributed",
"module: onnx",
"module: cpu",
"triaged",
"open source",
"module: amp (automated mixed precision)",
"onnx-triaged",
"release notes: onnx",
"release notes: quantization",
"topic: bug fixes",
"module: inductor",
"module: dynamo"
] | 7 | NONE | Fixes #145261
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @mcarilli @ptrblck @leslie-fang-intel @voznesenskym @penguinwu @EikanWang @Guobing-Chen @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @che... | true |
2,801,551,056 | `torch.compile` may produce wrong result with `BicubicInterp+Neg+Linear+Tan`. | Zoeeeeey | closed | [
"oncall: pt2"
] | 1 | NONE | ### 🐛 Describe the bug
Hi! I found that the following model gives different results after compile.
```python
import torch
inp = torch.nn.Parameter(torch.randn([8, 1, 4, 1], dtype=torch.float32), requires_grad=True)
def fn():
v5_0 = torch.nn.functional.interpolate(inp, size=[36, 1], scale_factor=None, mode='b... | true |
2,801,486,683 | [Pipelining] Problem using `torch.distributed.pipelining` on `Gemma2ForCausalLM` | sadra-barikbin | open | [
"oncall: distributed",
"triaged"
] | 3 | CONTRIBUTOR | Hi there!
I have problem testing torch pipelining against gemma2 model. Here is the code snippet:
```python
config = AutoConfig.from_pretrained("google/gemma-2-2b-it")
model = Gemma2ForCausalLM(config)
pipeline(model, mb_args=(torch.LongTensor([[1,2,3],[4,5,6]]),), split_spec={"model.layers.13": SplitPoint.BEGINNING}... | true |
2,801,483,220 | Missing create_graph arguments in torch.func apis | Luciennnnnnn | open | [
"triaged",
"module: functorch"
] | 3 | NONE | ### 🐛 Describe the bug
Hi, I want replace `torch.autograd.functional.jvp`/`torch.autograd.functional.vjp` with `torch.func.jvp`/`torch.func.vjp`. Since `torch.func.jvp` is more efficient compared to autograd ops.
However, I notice these apis are not equivalent, since I calculate jvp to create a loss, thus second-ord... | true |
2,801,477,785 | Custom symbolic functions for ONNX export with None args causes SEGFAULT | Tytskiy | open | [
"module: crash",
"module: onnx",
"triaged"
] | 0 | NONE | ### 🐛 Describe the bug
`torch.onn.export` with custom symbolic function produces SEGFAULT.
It happens when I set some aguments optional with `None`. OnnxRuntime opset allows it https://github.com/microsoft/onnxruntime/blob/3e4c5e64877c6d9814e4ebce5dcbb1fe71588ec5/docs/ContribOperators.md#commicrosoftpackedmultiheada... | true |
2,801,465,890 | [ARM] Add test_ops and test_memory_profiler to aarch64 tests | robert-hardwick | open | [
"triaged",
"open source",
"module: arm",
"topic: not user facing"
] | 13 | COLLABORATOR | Fixes #142371
cc @malfet @snadampal @milpuz01 @aditew01 @nikhil-arm @fadara01 | true |
2,801,238,281 | No Range Check for `storage_offset` in `as_strided` Function | WLFJ | open | [
"module: crash",
"module: error checking",
"triaged",
"topic: fuzzer"
] | 2 | NONE | ### 🐛 Describe the bug
An issue has been identified in the `as_strided` function of PyTorch related to the `storage_offset` parameter (referred to as sym_3 in the provided example). The function does not perform a range check on storage_offset, which leads to memory access errors when the value is out of bounds. In t... | true |
2,801,183,921 | Missing Length Check for `reflection_pad3d` `padding` Argument | WLFJ | open | [
"module: crash",
"module: cpp",
"module: error checking",
"triaged",
"topic: fuzzer"
] | 0 | NONE | ### 🐛 Describe the bug
An issue was identified with the `reflection_pad3d` function in PyTorch regarding the handling of its `padding` argument. The function expects padding to be an array of length 6, but currently, there is no validation check for this length. This oversight can cause undefined behavior when paddin... | true |
2,801,132,393 | nn.Embedding backwards pass for nested tensors | kkj15dk | closed | [
"triaged",
"module: nestedtensor"
] | 4 | NONE | ### 🚀 The feature, motivation and pitch
It seems there is no backwards pass for nn.Embedding implemented for nested tensors, while the forward pass works. Could be a very useful feature
```
import torch
import torch.nn as nn
def packed_tensor_from_jagged(tensor):
offsets = tensor.offsets()
return torch.cat(... | true |
2,801,054,155 | loss.backward() breaking somewhere when modulating a nested tensor using scale and shift (RuntimeError: Function AddBackward0 returned an invalid gradient at index 0 - got [1, 4, 64] but expected shape compatible with [4, 1, 64]) | kkj15dk | closed | [
"module: autograd",
"triaged",
"module: nestedtensor"
] | 2 | NONE | ### 🐛 Describe the bug
When using a label to modulate a nested tensor, the backwards pass breaks. I am not entirely sure on the nature of the bug, but it happens because of the line "x = x * (1 + scale)", as the bug disappears when this is commented out.
```
import torch
import torch.nn as nn
def packed_tensor_from... | true |
2,801,011,568 | [CD] Disable Kineto for XPU Windows CD | chuanqi129 | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/binaries_wheel"
] | 13 | COLLABORATOR | Due to issue #145155, disable Kineto for XPU Windows CD temporally.
| true |
2,800,976,931 | [TEST] tmp storage with CONSTANTHANDLE | muchulee8 | closed | [
"Stale",
"ciflow/trunk",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145254
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @ColinPeppler @amjames @desertfire @chauhang @aakhundov
Differential ... | true |
2,800,890,099 | PyObject preservation does not prevent weakrefs being cleared by Python garbage collector | soulitzer | open | [
"triaged",
"module: python frontend"
] | 8 | CONTRIBUTOR | ### 🐛 Describe the bug
If a dead cycle holds the last reference to a resurrectable Tensor, gc will clear its weakrefs. One implication of this interaction is that entries can spuriously vanish from WeakTensorKeyDictionary, which is used in various places across the code base.
Repro:
```python
import gc; gc.disable()... | true |
2,800,828,393 | change the test wheel to release wheel when release wheel available | ZhaoqiongZ | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: docs",
"release notes: xpu"
] | 13 | CONTRIBUTOR | change the test wheel to release wheel when release wheel available
| true |
2,800,812,703 | Fix IdentationError of code example | ZhaoqiongZ | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | I found there is IndentationError when try to copy paste the example of inference with torch.compile
fix the format in this pr
| true |
2,800,804,995 | [Inductor][CPU] Add a lowering pass for _weight_int4pack_mm_for_cpu | Xia-Weiwen | closed | [
"module: cpu",
"open source",
"Merged",
"ciflow/trunk",
"release notes: quantization",
"topic: not user facing",
"intel",
"module: inductor",
"ciflow/inductor"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146756
* __->__ #145250
* #145245
**Summary**
It's part of the task to enable max-autotune with GEMM template for WoQ INT4 GEMM on CPU.
This PR adds a lowering pass for `torch.ops.aten_weight_int4pack_mm_for_cpu`. This op is used f... | true |
2,800,798,784 | fake PR for validating oneDNN upgrade to v3.7 on windows | LifengWang | closed | [
"module: mkldnn",
"open source",
"release notes: releng",
"ciflow/binaries_wheel",
"module: inductor"
] | 1 | CONTRIBUTOR | cc @gujinghui @PenghuiCheng @XiaobingSuper @jianyuh @jgong5 @mingfeima @sanchitintel @ashokei @jingxu10 @min-jean-cho @yanbing-j @Guobing-Chen @Xia-Weiwen @snadampal @voznesenskym @penguinwu @EikanWang @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @deser... | true |
2,800,794,015 | [Break XPU][Inductor UT] Set input tensors to corresponding device for test case in test_aot_indutor.py | etaf | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 5 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146763
* #146880
* __->__ #145248
* #146762
Fix #145247
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @... | true |
2,800,786,116 | [Break XPU] device type in test_aot_inductor.py is not passed correctly to cpp_builder. | etaf | closed | [
"triaged",
"module: xpu"
] | 2 | COLLABORATOR | ### 🐛 Describe the bug
#### Description
Currently XPU Ci is broken by the newly added test case `AOTInductorTestABICompatibleGpu.test_assert_tensor_meta_xpu`
The CI log: https://github.com/pytorch/pytorch/actions/runs/12869396818/job/35880652376
Error msg:
```
=================================== FAILURES ============... | true |
2,800,737,013 | [dynamo] Support types.MappingProxyType | anijain2305 | closed | [
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145246
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,800,716,149 | [Quant][CPU] add a wrapper op for _weight_int4pack_mm_for_cpu with tensor args | Xia-Weiwen | closed | [
"module: cpu",
"open source",
"Merged",
"ciflow/trunk",
"release notes: quantization",
"release notes: linalg_frontend",
"intel",
"module: inductor",
"ciflow/inductor"
] | 7 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146756
* #145250
* __->__ #145245
**Summary**
It's part of the task to enable max-autotune with GEMM template for WoQ INT4 GEMM on CPU.
This PR adds a wrapper op in `quantized` namespace for `torch.ops.aten_weight_int4pack_mm_for_c... | true |
2,800,697,414 | Improve typing by using bool and int | cyyever | closed | [
"triaged",
"open source",
"Stale",
"topic: not user facing"
] | 6 | COLLABORATOR | Fixes #ISSUE_NUMBER
| true |
2,800,686,989 | [inductor] Make serialized inductor patterns path configurable instead of using … | kareemshaik80 | open | [
"triaged",
"open source",
"module: inductor",
"release notes: inductor"
] | 9 | CONTRIBUTOR | …fixed path in the inductor module
Fixes [145242](https://github.com/pytorch/pytorch/issues/145242)
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aak... | true |
2,800,686,289 | Expose configurable path instead of using fixed path in the inductor module for serialized pattern generation | kareemshaik80 | open | [
"triaged",
"oncall: pt2",
"module: inductor"
] | 0 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
Expose configurable path instead of using fixed path in the inductor module for serialized pattern generation
### Alternatives
_No response_
### Additional context
_No response_
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzhen... | true |
2,800,677,357 | add grad_output shape check for adaptive_avg_pool2d_backward | jiayisunx | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145241
Fix https://github.com/pytorch/pytorch/issues/145070.
| true |
2,800,610,784 | Teach dynamo to handle GenericAlias without a graph break | aorenste | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Dynamo wasn't handling the new PEP585 type annotations:
```
x = list[Foo]
```
Although this worked in py3.9 this was causing an `unimplemented` (Unexpected type in sourceless builder) in py3.12.
This fixes it to treat them as a BuiltinVariable.
Fixes #145226
Stack from [ghstack](https://github.com/ezyang/g... | true |
2,800,593,844 | Turn Stream into protocol and improve typing in torch/_C/__init__.pyi.in | cyyever | open | [
"oncall: jit",
"triaged",
"open source",
"Stale",
"topic: not user facing"
] | 7 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @EikanWang @jgong5 @wenzhe-nrv @sanchitintel | true |
2,800,582,103 | Improve typing in torch/__init__.py | cyyever | closed | [
"triaged",
"open source",
"ciflow/trunk",
"topic: not user facing"
] | 5 | COLLABORATOR | Fixes #ISSUE_NUMBER
| true |
2,800,573,890 | Improve typing in torch/types.py | cyyever | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 18 | COLLABORATOR | Fixes #ISSUE_NUMBER
| true |
2,800,560,375 | [Don't Review] test CI | guangyey | closed | [
"topic: not user facing"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145236
| true |
2,800,524,531 | Fix broken gpt_fast micro benchmark after #144315 | huydhn | closed | [
"Merged",
"release notes: releng",
"ciflow/inductor-micro-benchmark",
"ciflow/inductor-micro-benchmark-cpu-x86"
] | 5 | CONTRIBUTOR | The benchmark is failing with the following error
```
File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/benchmark.py", line 333, in <module>
main(output_file=args.output, only_model=args.only)
File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/benchmark.py", line 308, in main
lst = func(device)
... | true |
2,800,479,096 | Binaries Python 3.13t failing linux-aarch64-binary-manywheel and linux-binary-manywheel | atalman | closed | [
"module: binaries",
"oncall: releng"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
Binaries Python 3.13t failing linux-aarch64-binary-manywheel and linux-binary-manywheel since 01.17.2025
Linux manywheel-py3_13t-cpu-build : https://github.com/pytorch/pytorch/actions/runs/12863127095/job/35859167010
```
pip install -qr requirements.txt
error: subprocess-exited-with-error
... | true |
2,800,470,058 | Not using set_num_threads results in very slow .all() | arogozhnikov | open | [
"module: performance",
"module: cpu",
"triaged"
] | 5 | NONE | ### 🐛 Describe the bug
```python
import torch
import time
# print(f'{torch.get_num_threads()}') # default is 256, it isn't important how many we set, but the fact that we set num_threads is critical
# torch.set_num_threads(32)
x = torch.zeros(13456, 4) # starts at some size of first dim
z_out = torch.zeros(1024, 4, ... | true |
2,800,463,213 | [inductor] Simplify mode options, only apply CompilerBisector changes once | jansel | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145232
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov | true |
2,800,460,550 | Flaky Dynamo test: TestAutograd.test_gradcheck_nondeterministic | yanboliang | open | [
"module: autograd",
"triaged",
"module: testing",
"oncall: pt2"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
Reproduce command:
```
PYTORCH_TEST_WITH_DYNAMO=1 python test/test_autograd.py TestAutograd.test_gradcheck_nondeterministic
```
This issue was discovered while I was working on #142830. The core problem is that this unit test produces different results on CI compared to running it locally. The ... | true |
2,800,441,148 | [BE] [mps] Refactor UnaryConstants to be its own kernel. | dcci | closed | [
"Merged",
"topic: not user facing",
"ciflow/mps",
"module: inductor"
] | 7 | MEMBER | In preparation for using this file for inductor (for erfinv).
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov | true |
2,800,397,882 | CPU-only PyTorch on M1 MacBook always gets "RuntimeError: Placeholder storage has not been allocated on MPS device!" | gregchapman-dev | closed | [
"needs reproduction",
"triaged",
"module: macos"
] | 1 | NONE | ### 🐛 Describe the bug
I'm trying to run CPU-only on an M1 MacBook. I installed the CPU-only build: pip install torch --extra-index-url https://download.pytorch.org/whl/cpu
I always get "RuntimeError: Placeholder storage has not been allocated on MPS device!", but of course that's true, I'm running CPU only. (Note... | true |
2,800,383,395 | Expose the rendezvous keepalive arguments | carmocca | closed | [
"oncall: distributed",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: distributed (torchelastic)"
] | 3 | CONTRIBUTOR | Enables support for this:
```python
from torch.distributed.launcher.api import LaunchConfig
config = LaunchConfig(
...,
rdzv_configs={"keep_alive_interval": 1122, "heartbeat_timeout": 321, "keep_alive_max_attempt" 5},
)
```
These arguments are currently hard-coded inside torchrun. The default valu... | true |
2,800,375,916 | [ROCm] fix test_cublas_workspace_explicit_allocation for gfx12 | dnikolaev-amd | closed | [
"module: rocm",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"rocm",
"ciflow/rocm"
] | 10 | CONTRIBUTOR | gfx12 passes the condition `torch.cuda.get_device_capability() >= (9, 4)` and uses `default_workspace_size=128MB`, but it required only for MI300
Fix condition to use `("gfx94" in gcn_arch)` instead of `torch.cuda.get_device_properties()` to detect MI300.
Now `default_workspace_size=32MB` is used for gfx12 and the t... | true |
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