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 |
|---|---|---|---|---|---|---|---|---|
2,921,402,900 | [export] fix stft decomp and making it consistent with cpp impl. | ydwu4 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 8 | CONTRIBUTOR | Summary: We change the fake impl of stft to follow more closely with its cpp implementation [here](https://github.com/pytorch/pytorch/blob/main/aten/src/ATen/native/SpectralOps.cpp#L951-L963)
where " n_frames = 1 + (len - n_fft) / hop_length;" is also an integer division.
Test Plan: Existing tests and buck2 bui... | true |
2,921,385,908 | [BE] simplify test_cpp_extensions_aot and .gitignore | janeyx99 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 9 | CONTRIBUTOR | It is shady to clean up an install mid-test. So don't do that anymore and use .gitignore instead.
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149231
| true |
2,921,380,345 | [BE] Add STABLE_LIBRARY test for multiple returns | janeyx99 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149230
* #149052
| true |
2,921,363,910 | [aot] always lower the backward with a deepcopy | xmfan | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | MEMBER | FIXES https://github.com/pytorch/pytorch/issues/149105
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #149651
* #149650
* #149649
* #149647
* __->__ #149229
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipi... | true |
2,921,290,026 | [dynamo][guards][serialization] Dont use ID_MATCH guard for bool and None | anijain2305 | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"ci-no-td"
] | 9 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149228
Doing this removes the need of collecting `id` and therefore facilitates serialization. It also improves readability with recompilations. Earlier, recompile message will just show the `id`.
cc @voznesenskym @penguinwu @Eik... | true |
2,921,285,274 | Unexpected behaviour in using torch.nn.utils.rnn.pack_padded_sequence API | sjh0849 | open | [
"module: rnn",
"triaged"
] | 0 | NONE | ### 🐛 Describe the bug
The test cases test_pack_padded_sequence_empty and test_pack_padded_sequence_zero_length expect a valid PackedSequence output for an empty tensor or a sequence with a zero length. This contradicts the underlying behaviour in the current implementation.
```python
from torch.nn.utils.rnn import... | true |
2,921,280,571 | Ensure conj_physical always does a physical conjugation | amjames | open | [
"open source",
"topic: bc breaking",
"topic: not user facing"
] | 4 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147231
* __->__ #149226
When the argument tensor has a conj bit set. The conj_physical
implementation will do `arg.conj().clone()`. Which is not a physical
conjugation but a reversal of the conjugate view state.
Instead we should unconditi... | true |
2,921,276,261 | unexpected results when using torch.all_close API | sjh0849 | closed | [] | 1 | NONE | ### 🐛 Describe the bug
The test_allclose_zero_toleranceshows unexpected behavior (expecting False, but torch.allclose returns True), showing that the implementation does not follow the documented and expected semantics.
```python
def test_allclose_zero_tolerance(self):
# Test with zero tolerance
... | true |
2,921,271,196 | Unexpected results in using torch.save API | sjh0849 | open | [
"module: serialization",
"triaged"
] | 0 | NONE | ### 🐛 Describe the bug
In test_save_with_different_pickle_protocol, the test iterates over all protocols (0 through pickle.HIGHEST_PROTOCOL) and expects that saving and then loading the tensor works correctly with each protocol. However, for protocol 0, torch.load fails with an AssertionError (inside torch.load’s per... | true |
2,921,262,423 | Inconsistent results in using torch.jit.script API from API documentation. | sjh0849 | open | [
"oncall: jit"
] | 0 | NONE | ### 🐛 Describe the bug
Expects an AttributeError is raised since the ignored_method is skipped in compiling as per API documentation.
```python
def test_script_module_with_ignored_method(self):
class IgnoredMethodModule(nn.Module):
def forward(self, x):
return x * 2
@... | true |
2,921,255,893 | inconsistent result of torch.equal API from API documentation. | sjh0849 | closed | [
"module: docs",
"triaged",
"module: python frontend"
] | 3 | NONE | ### 🐛 Describe the bug
Expect this to assert false, as they are different types (based on the documentation, indicate they should have same elements), but an assertion error is thrown.
```python
def test_different_dtypes(self):
# Test with tensors of different data types
tensor1 = torch.tensor([1... | true |
2,921,208,558 | [MPS] Add inductor support for `i1e`. | dcci | closed | [
"Merged",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 3 | MEMBER |
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,921,201,591 | Skip some tests not using gradcheck on slowgradcheck | soulitzer | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149220
| true |
2,921,188,983 | Optimize pack_padded_sequence backward function | abdogad | closed | [] | 2 | NONE | null | true |
2,921,173,356 | cd: Add no-cache for test binaries | seemethere | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | MEMBER | This is to make it so that we don't experience issues like https://github.com/pytorch/vision/actions/runs/13861462856/job/38795684317#step:13:212
```
ERROR: THESE PACKAGES DO NOT MATCH THE HASHES FROM THE REQUIREMENTS FILE. If you have updated the package versions, please update the hashes. Otherwise, examine the p... | true |
2,921,111,952 | [EZ] Fix typo in UnaryOps.mm | malfet | closed | [
"Merged",
"topic: not user facing",
"ciflow/mps"
] | 3 | CONTRIBUTOR | s/imput/input/
| true |
2,921,016,360 | [MPSInductor] Add support for atan2 | malfet | closed | [
"Merged",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149216
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,921,006,381 | [WIP] rewrite should_swap | pianpwk | closed | [
"release notes: fx",
"fx",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,920,998,515 | BC fix for AOTIModelPackageLoader() constructor defaults | pytorchbot | closed | [
"open source",
"ciflow/inductor"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149082
The default value for `run_single_threaded` was wrongly specified in the .cpp file instead of the header, breaking C++-side instantiation of `AOTIModelPackageLoader` with no arguments. This PR fixes this and adds a test for t... | true |
2,920,967,320 | [fbgemm] Update FBGEMM | q10 | open | [
"ciflow/trunk",
"topic: not user facing"
] | 4 | CONTRIBUTOR | - Update pinned version of FBGEMM to bring in compilation fixes for https://github.com/pytorch/pytorch/issues/129358
Fixes #129358
| true |
2,920,911,870 | [Bugfix] Skip non-tensor user inputs when calling create_graph_signature with trace_joint=True | bremerm31 | closed | [
"fb-exported",
"topic: bug fixes",
"topic: not user facing",
"ciflow/inductor"
] | 5 | NONE | Summary:
# Context
Encountered a bug while trying to export the joint graph for a module.
# Reproducer
```py
class mod(torch.nn.Module):
def forward(self, ph: object, t: torch.Tensor):
return (t.sum(),)
m = mod()
t = torch.rand(100, requires_grad=True)
g, sig = aot_export_module(
... | true |
2,920,893,083 | Support windows in C++ shape guards | isuruf | closed | [
"open source",
"Merged",
"ciflow/trunk",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #140756
* __->__ #149211
* #149197
* #149149
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,920,835,826 | TEST: ir.py without ir.py | rec | closed | [
"module: rocm",
"open source",
"module: inductor",
"ciflow/inductor",
"release notes: export"
] | 1 | COLLABORATOR | TEST, please ignore.
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149210
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhao... | true |
2,920,819,354 | Wrong argument in `CompileCounterWithBackend` when running `torch.utils.benchmark.utils.compile.bench_all` | GdoongMathew | open | [
"triaged",
"module: benchmark"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
When benchmarking forward speed with different inductor mode, the it raises an exception which causes no benchmarking result.
```python
from torchvision.models import resnet18
from torch.utils.benchmark.utils.compile import benchmark_compile
import torch
x = torch.zeros((1, 3, 64, 64), device... | true |
2,920,818,695 | op should NOT be static in aoti_torch_call_dispatcher | janeyx99 | closed | [
"Merged",
"ciflow/trunk",
"release notes: cpp",
"ciflow/inductor"
] | 5 | CONTRIBUTOR | aoti_torch_call_dispatcher is meant to call different ops, so the op must not be static. Otherwise, every call to this API will call the first op that was ever called, which is not the intended behavior of any human being.
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #149230
* #14905... | true |
2,920,798,329 | Cache the get_device_module result | egienvalue | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Summary: As title.
Test Plan: OSS CIs.
Reviewed By: chaos5958
Differential Revision: D71084180
| true |
2,920,782,658 | debug ival swap | avikchaudhuri | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: export"
] | 14 | CONTRIBUTOR | Summary:
Recall that we use "ivals" to track intermediate values of mutations during unflattening. Previously, for each such intermediate value, we would create a hidden shared attribute that would be updated / read by respective submodules.
Unfortunately this scheme doesn't work when some but not all of those submodu... | true |
2,920,759,083 | Parameter not updating when FSDP2 model is used before optimizre creation | zhoukezi | open | [
"oncall: distributed",
"triaged",
"module: fsdp"
] | 1 | NONE | ### 🐛 Describe the bug
If calculations are performed using a FSDP2 model after calling `fully_shard` and before creating the optimizer, the parameters fail to update correctly. The parameters captured by the optimizer seem to differ from those in the training loop. Non-parallel and DDP are not affected. In larger mul... | true |
2,920,736,223 | [MPS] Modify a test to test the correct function. | dcci | closed | [
"Merged",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 4 | MEMBER | cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,920,700,015 | [MPS] Add support for `i1e` | malfet | closed | [
"Merged",
"topic: improvements",
"release notes: mps",
"ciflow/mps"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149203
Followup after https://github.com/pytorch/pytorch/pull/149174 | true |
2,920,696,794 | [prototype] in memory checkpoint example | H-Huang | open | [
"oncall: distributed",
"release notes: distributed (checkpoint)"
] | 2 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149202
The problem:
Reading from disk / network file system is expensive. If we can read from memory then loading checkpoints is a lot faster and we can do it more frequently.
The idea:
1. Keep a process alive which has t... | true |
2,920,631,200 | Segment fault when used with FAISS on arm | SylviaZiyuZhang | open | [
"module: binaries",
"module: crash",
"triaged",
"module: macos",
"module: openmp",
"module: arm"
] | 5 | NONE | ### 🐛 Describe the bug
TLDR: When `faiss` is imported, construction of `nn` objects yield segmentation faults.
```
thread #4, stop reason = EXC_BAD_ACCESS (code=1, address=0x8)
frame #0: 0x00000001015e5828 libomp.dylib`void __kmp_suspend_64<false, true>(int, kmp_flag_64<false, true>*) + 44
libomp.dylib`__kmp_sus... | true |
2,920,592,830 | broadcast_object_list cast group_src to global_src is not safe when group is not subgroup of global group | zhc7 | closed | [
"oncall: distributed",
"module: c10d"
] | 6 | CONTRIBUTOR | ### 🐛 Describe the bug
In torch distributed environment, it is possible to create a new process group that is larger than the global group. Example:
https://github.com/OpenRLHF/OpenRLHF/blob/f9a8fe2d78c31181aa496731a4858a9a95316927/openrlhf/utils/distributed_util.py#L19
this suggests that the group rank may actuall... | true |
2,920,587,740 | DISABLED test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_True_cuda_complex64 (__main__.TestForeachCUDA) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"module: mta"
] | 7 | NONE | Platforms: linux, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_True_cuda_complex64&suite=TestForeachCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pyto... | true |
2,920,559,770 | [export] Update remove runtime asserts pass | angelayi | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export"
] | 7 | CONTRIBUTOR | Test Plan: CI -- Removing asserts should be a noop
Differential Revision: D69566851
| true |
2,920,478,703 | use python fallback if there are overflows | isuruf | closed | [
"open source",
"Merged",
"ciflow/trunk",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #140756
* #149211
* __->__ #149197
* #149149
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,920,417,011 | (Will PR) Multiprocessing with CUDA_VISIBLE_DEVICES seems to give the wrong device | fzyzcjy | open | [
"module: multiprocessing",
"module: cuda",
"triaged"
] | 10 | CONTRIBUTOR | ### EDIT: PR to fix this
PR is here: https://github.com/pytorch/pytorch/pull/149248
### 🐛 Describe the bug
Hi thanks for the helpful library! When two processes have different CUDA_VISIBLE_DEVICES and pass around tensor between them, it seems the `.device` attribute is incorrect.
Example code:
```python
import os... | true |
2,920,357,260 | [ROCm][Windows] Disable hipSPARSE and CK declarations and remove references for Windows | ikalinic | closed | [
"module: rocm",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/rocm"
] | 4 | CONTRIBUTOR | This PR removes references to `hipSPARSE` and `ck` functions and disables declarations which are not supported on Windows.
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,920,321,709 | LSTM slow on PackedSequence | ikamensh | open | [
"module: rnn",
"triaged",
"topic: performance"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
Using LSTM with `PackedSequence` input is very slow. This effect is extreme at high sequence lengths, see tables below. Given that PackedSequence is the only way to get both correct output and state for a sequence with non-homogenious length I think this is a big challenge in usability of RNNs.... | true |
2,920,310,030 | Add .editorconfig | zxiiro | closed | [
"open source",
"Merged",
"topic: not user facing"
] | 3 | COLLABORATOR | This adds an .editorconfig file to automatically configure devs local Editors / IDEs with the basic formatting rules of the project.
List of supported editors: https://editorconfig.org/#pre-installed
| true |
2,920,042,428 | [CI INFRA TEST] Test experiment for ephemeral runners | jeanschmidt | open | [
"ciflow/binaries",
"ciflow/trunk",
"topic: not user facing",
"ciflow/periodic",
"ciflow/nightly",
"ciflow/binaries_wheel",
"ciflow/inductor",
"ciflow/slow",
"ciflow/torchao"
] | 2 | CONTRIBUTOR | Just running the ci with the `ephemeral` experiment defined in https://github.com/pytorch/test-infra/issues/5132
This will run CI in meta's infra, with the ephemeral reuse changes. And force to only use ephemral runners from the autoscaler pool.
The goal of this experiment is evaluate queue time and if runners ar... | true |
2,919,791,063 | [assoc_scan/scan] Added testcase for complex tensors | bohnstingl | open | [
"triaged",
"open source",
"topic: not user facing"
] | 3 | COLLABORATOR | We have a user @largraf using associative_scan with complex tensors. Thus, I wanted to add a test case to ensure that a `combine_fn` working on complex tensors is working with `associative_scan` and `scan`.
The tests do fail though with `torch.complex32`, potentially due to numerical precision issues? Furthermore, s... | true |
2,919,775,726 | Super tiny fix typo | fzyzcjy | closed | [
"open source",
"Merged",
"topic: not user facing"
] | 3 | CONTRIBUTOR | ... when checking the doc to build from source | true |
2,919,682,792 | Add scripts to generate plots of LRSchedulers | zeshengzong | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: docs",
"release notes: optim"
] | 9 | CONTRIBUTOR | Fixes #92007
## Changes
- Add script to generate plots for `lr_scheduler`
- Add plots to `lr_scheduler` docs
- Add example section if it missing in `lr_scheduler` docs
## Test Result
### LambdaLR
### Multiplica... | true |
2,919,648,483 | Create devcontainer.json | kvandenheuvel23 | closed | [
"triaged",
"open source"
] | 3 | NONE | Fixes #ISSUE_NUMBER
| true |
2,919,605,063 | Issue with Shared CUDA Tensor Reference Counting in Multi-Processing | U-rara | open | [
"module: multiprocessing",
"module: cuda",
"triaged"
] | 4 | NONE | ### 🐛 Describe the bug
When using multi-processing sharing CUDA tensors, I discovered that when process B receives the information from process A's `tensor.untyped_storage()._share_cuda_()`, even if this information is released (without even rebuilding the tensor in process B), it causes the tensor in process A to ha... | true |
2,919,584,824 | torch.fx.symbolic_trace failed on deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B | FlintWangacc | open | [
"module: fx",
"oncall: pt2",
"export-triaged",
"oncall: export"
] | 7 | NONE | ### 🐛 Describe the bug
I try to compile deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B to mlir with the following script.
```python
# Import necessary libraries
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
from torch.export import export
import onnx
from torch_mlir import fx
# Load the DeepSee... | true |
2,919,395,978 | [pt2_provenance_tracking] add support for cpp kernel | YUNQIUGUO | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 11 | CONTRIBUTOR | Summary:
As title.
Add inductor cpp kernel to post grad graph node mapping
& UT.
Context:
Raised as a feature request for AOTI CPU case.
https://fb.workplace.com/groups/1028545332188949/permalink/1169020841474730/
Differential Revision: D71181284
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @Xia... | true |
2,919,311,118 | [macOS] instantiating optimizer after torch.set_default_device("mps") throws "RuntimeError: Placeholder storage has not been allocated on MPS device!" | AlexPetrusca | open | [
"triaged",
"module: mps"
] | 3 | NONE | ### 🐛 Describe the bug
When I set "mps" as the default device and then try to instantiate an optimizer, say `torch.optim.SGD`, I get a RuntimeError with message "Placeholder storage has not been allocated on MPS device!". This also happens when instantiating other optimizers, like `torch.optim.Adam` and `torch.optim.... | true |
2,919,305,220 | [regression] Fix pin_memory() when it is called before device lazy initialization. | pytorchbot | closed | [
"open source"
] | 2 | COLLABORATOR | PR #145752 has added a check in the isPinnedPtr to check if a device is initialized before checking if the tensor is pinned. Also that PR has added a lazy initialization trigger when an at::empty is called with a pinned param set to true. However, when the tensor is firstly created and it is pinned in a separate call b... | true |
2,919,280,214 | Add test coverage | hl475 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: quantization",
"topic: not user facing",
"fx"
] | 4 | CONTRIBUTOR | Summary: Follow up from D71160718
Differential Revision: D71177037
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,919,268,579 | Add side_effect to avoid dce custom op in CA graph | zhanglirong1999 | closed | [
"module: custom-operators",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"module: compiled autograd"
] | 7 | CONTRIBUTOR | We found that in compiled_autograd, when defining custom op, the custom op will be dce in the backward graph. We added a side effect condition in the dce function to prevent eliminating custom op with side effect in CA graph.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzhe... | true |
2,919,205,616 | [MPS] Add inductor support for i0e. | dcci | closed | [
"Merged",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 6 | MEMBER | cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,919,189,889 | [MPSInductor] Add `bessel_[jy][01]` ops | malfet | closed | [
"Merged",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149179
* #149123
By simply calling corresponding special functions
Followup TODO: tweak bessel_y0 to match CPU implementation for `torch.half` dtype
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSupe... | true |
2,919,128,915 | [Inductor][Optimus] Add move view after cat aten pattern | mengluy0125 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 9 | CONTRIBUTOR | Summary:
Add aten pattern to move the view/reshape out of split cat, further reduce the number of kernels.
context: https://docs.google.com/document/d/1G2qFcQu1K7VXbz2uPe0CS2aBirnwtwI_B8lxmlBlAPQ/edit?tab=t.0
Test Plan:
### how to enable
Add the following patterns to the post grad
```
post_grad_fusion_options... | true |
2,919,014,027 | [Dist] Async op isend and irecv bug | feifei-111 | open | [
"oncall: distributed",
"triaged",
"module: c10d"
] | 2 | NONE | ### 🐛 Describe the bug
I write a pp parallel framework for inference (for some reason, i can't post codes in the issue), and i found the time series is not correct, because of isend irecv behavior is a bit weird, just like the ... | true |
2,918,858,200 | [DO NOT LAND] Try changing the loop order | blaine-rister | closed | [
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Testing a possible solution to #148718. It didn't work as well as expected.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,918,798,740 | [AOTI][XPU] Fix: model_container_runner_xpu.cpp is not built into libtorch_xpu.so | etaf | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/xpu"
] | 12 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149175
The missing of model_container_runner_xpu.cpp will cause compilation failure when user build CPP inference application on XPU.
| true |
2,918,736,849 | [MPS] Add support for `i0e` in eager. | dcci | closed | [
"Merged",
"Reverted",
"topic: improvements",
"module: mps",
"release notes: mps",
"ciflow/mps",
"ciflow/inductor",
"ci-no-td"
] | 9 | MEMBER | Add `special.i0e` to XFAIL_GRADLIST for now, as its backward op is not yet implemented
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen | true |
2,918,731,650 | Update clang-format to 19.1.4 | cyyever | open | [
"oncall: distributed",
"open source",
"NNC",
"topic: not user facing",
"ciflow/mps",
"ciflow/inductor"
] | 1 | COLLABORATOR | To have the same version with clang-tidy used in lintrunner.
The changes are all formatting.
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @EikanWang @jgong5 | true |
2,918,684,341 | fix two accuracy regression | shunting314 | 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):
* __->__ #149172
There are 2 accuracy regression in 3/12 nightly perf run. I can not repro them locally thus there is no effective way to bisect. Raise the tolerance to make them pass the accuracy check.
- error log for HF MegatronBertForQ... | true |
2,918,673,778 | Update logic when producing key name for keep_original_weights | hl475 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: quantization",
"fx",
"release notes: AO frontend"
] | 5 | CONTRIBUTOR | Differential Revision: D71160718
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,918,673,363 | fix two accuracy regression | shunting314 | closed | [
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149170
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,918,672,008 | [RelEng] wheel testing for new arch versions | malfet | open | [
"oncall: releng",
"module: ci",
"triaged"
] | 0 | CONTRIBUTOR | Was: [RelEng] s3_management/manage.py does not update indexes for new binaries
Discovered by @atalman while working on 2.7.0-RC1, when `https://download.pytorch.org/whl/test/rocm6.3/index.html` were never updated
manage.py currently only updated subfolder that contain some `.whl` files inside of it, but before first ... | true |
2,918,643,187 | Remove some memory overhead in parallel compile workers | masnesral | 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):
* __->__ #149168
Summary: The parallel compile workers are holding on to more memory than they need to because they're loading the compiled modules into memory. Update the post-fork initializer to record when in a subprocess and skip some of t... | true |
2,918,619,019 | [AOTInductor] [BE] Add swap_constant_buffer into pybind for tests. | muchulee8 | closed | [
"Merged",
"Reverted",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149167
Summary:
We add swap_constant_buffer in pybind to add tests.
Test Plan:
python test/inductor/test_aot_inductor.py -k test_update_inactive_constant_buffer
Reviewers:
Subscribers:
Tasks:
Tags:
cc @voznesenskym @penguinwu @... | true |
2,918,614,931 | [c10d] Add param recording for uniqueID broadcasting and allgather | fduwjj | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149166
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,918,557,652 | Failed to load model in Release but can load in debug | Sanjib-ac | closed | [
"needs reproduction",
"oncall: jit"
] | 2 | NONE | LibTorch 2.6 +cu124
Pytorch 2.6.0 +cu124
Torch::jit::load can load a model in debug but not in release.
Getting error "file_name!=nullptr".
cc @EikanWang @jgong5 @wenzhe-nrv @sanchitintel | true |
2,918,556,868 | [ATen-CPU] Add `math.h` for Gelu | SS-JIA | closed | [
"module: cpu",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 10 | CONTRIBUTOR |
Summary:
## Context
This PR is mostly to enable ExecuTorch build for Windows: https://github.com/pytorch/executorch/pull/9198
In ExecuTorch, the optimized GeLU kernel calls the ATen implementation. However, on Windows `math.h` needs to be included with `#define _USE_MATH_DEFINES` in order for math constants to be de... | true |
2,918,545,807 | Test if ET unit tests are disabled. | shengfukevin | closed | [
"fb-exported",
"topic: not user facing",
"ci-no-td"
] | 8 | CONTRIBUTOR | Summary:
Test if ET unit tests are disabled.
The code change will make all ET unit tests fail.
Differential Revision: D71157414
| true |
2,918,511,036 | [AOTInductor] Activate CPU test for update_constant_buffer | muchulee8 | closed | [
"Merged",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149162
Summary:
Fixed by #145459
Test Plan:
Re-activating tests.
Reviewers:
Subscribers:
Tasks:
Tags:
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipisz... | true |
2,918,500,808 | [AOTInductor] Add function to free buffer | muchulee8 | 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):
* __->__ #149161
* #149249
Summary:
We add a function that allows users to free the unused buffer.
Test Plan:
Testing correctness:
python test/inductor/test_aot_inductor.py -k free_inactive
Testing memory consumption:
LD... | true |
2,918,470,935 | [cherry-pick] Revert #148823 - Make dynamism code robust to NotImplementedException | ZainRizvi | closed | [
"module: rocm",
"release notes: releng",
"fx",
"module: inductor",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Reverting since it was reverted from the main branch | true |
2,918,468,763 | Clean up grid in execution trace | shengfukevin | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 5 | CONTRIBUTOR | Summary: This DIFF https://www.internalfb.com/diff/D70471332 removed input "grid" when calling triton kernel. PyTorch execution trace need to make the appropriate change. It includes capturing ET and replay ET.
Test Plan:
buck2 run mode/opt caffe2/test:test_profiler_cuda -- profiler.test_execution_trace.TestExecution... | true |
2,918,466,389 | [torch.export] ExportedProgram.module() does not support torch.Size as input | titaiwangms | closed | [
"oncall: pt2",
"oncall: export"
] | 3 | COLLABORATOR | Not sure if this is an expected behavior, so file an issue to understand it. The repro is below:
```python
import torch
import torch.nn as nn
class Model(nn.Module):
def __init__(self):
super(Model, self).__init__()
def forward(self, theta, size):
return torch.nn.functional.affine_grid(theta, size, alig... | true |
2,918,446,237 | Bad index causes segfault instead of IndexError | johnstill | closed | [
"module: binaries"
] | 2 | NONE | ### 🐛 Describe the bug
If torch (and dependencies) has been installed from conda-forge, torch tensors fail to properly raise IndexError:
Installed from conda-forge (this is unexpected behavior):
```
$ python
Python 3.12.9 | packaged by conda-forge | (main, Mar 4 2025, 22:48:41) [GCC 13.3.0] on linux
Type "help", "c... | true |
2,918,418,704 | illegal hardware instruction in `torch.tanh` | johnstill | closed | [
"needs reproduction",
"module: binaries",
"module: crash",
"triaged",
"module: intel"
] | 3 | NONE | ### 🐛 Describe the bug
Under some circumstances `torch.tanh` crashes with an "illegal hardware instruction"
```
$ python
Python 3.12.9 | packaged by conda-forge | (main, Mar 4 2025, 22:48:41) [GCC 13.3.... | true |
2,918,396,044 | torch.multiprocessing.Queue Zeroes Out Tensors on Retrieval | ManuelZ | open | [
"module: windows",
"module: multiprocessing",
"module: cuda",
"triaged"
] | 1 | NONE | ### 🐛 Describe the bug
When sending a CUDA tensor through a `torch.multiprocessing.Queue`, the received tensor contains only zeros instead of the expected values.
I reproduced it in Windows 10 with Pytorch 2.5.1 and 2.6.0.
I couldn't reproduce it in Colab with Pytorch 2.5.1.
Minimally reproducible example:
```
# Un... | true |
2,918,363,986 | allow extra args for parameterization of tests in inductor | isuruf | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 9 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #148209
* __->__ #149154
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,918,332,011 | ProcessGroupNCCL: ncclCommAbort hangs with NCCL 2.25.1-1 | d4l3k | closed | [
"module: dependency bug",
"oncall: distributed",
"module: nccl",
"module: c10d",
"bug"
] | 8 | MEMBER | ### 🐛 Describe the bug
ncclCommAbort hangs when using NCCL 2.25.1-1 w/ PyTorch nightly. This is fixes with NCCL 2.26.2-1 which released yesterday (2025-03-12).
Full details (repro + stack traces) in https://gist.github.com/d4l3k/16a19b475952bc40ddd7f2febcc297b7
Relevant stack traces:
```
thread #16, name = 'pyth... | true |
2,918,326,766 | [c10d] Make getDefaultBackend more fault tolerant without relying on exceptions | PatriceVignola | closed | [
"oncall: distributed",
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 8 | CONTRIBUTOR | Summary: no-except builds are terminating when this exception is thrown. We should proactively check if a backend is available before calling has_hooks, instead of trying and failing.
Test Plan: CI
Differential Revision: D71144456
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i... | true |
2,918,297,789 | [ONNX] Cover dynamic_shapes checks within verify=True | titaiwangms | open | [
"module: onnx",
"triaged"
] | 3 | COLLABORATOR | https://github.com/pytorch/pytorch/blob/38e81a53324146d445a81eb8f80bccebe623eb35/torch/onnx/_internal/exporter/_verification.py#L137
We can try a different set of inputs that has different shape to examine the dynamic_shapes so that users/us can catch the issues before actually applying the model, and save the trouble... | true |
2,918,193,958 | [fsdp] add an experimental allocator hook for buffers that participate in collective communication | jiayulu | open | [
"oncall: distributed",
"fb-exported",
"release notes: distributed (fsdp)"
] | 7 | NONE | Summary: https://github.com/pytorch/pytorch/pull/147146
Test Plan: unit test
Differential Revision: D69694585
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,918,187,634 | Fix shape guard failure to be valid python | isuruf | closed | [
"open source",
"Merged",
"ciflow/trunk",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 7 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #140756
* #149211
* #149197
* __->__ #149149
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,918,187,455 | Fix printing INT64_MIN | isuruf | closed | [
"module: cpu",
"open source",
"Merged",
"ciflow/trunk",
"module: inductor",
"ciflow/inductor",
"release notes: dynamo"
] | 6 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #140756
* #149211
* #149197
* #149149
* __->__ #149148
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @voznesenskym @penguinwu @EikanWang @Guobing-Chen @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @... | true |
2,918,142,688 | [MPS] fix attention enable_gqa crash on mps | Isalia20 | closed | [
"open source",
"Merged",
"topic: bug fixes",
"module: mps",
"release notes: mps",
"ciflow/mps"
] | 8 | COLLABORATOR | Fixes #149132
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen | true |
2,918,134,447 | Update as strided doc | albanD | closed | [
"Merged",
"ciflow/trunk",
"release notes: python_frontend"
] | 6 | COLLABORATOR | Make it clearer why it is not recommended to use it and when the resulting Tensor will have undefined behavior. | true |
2,918,118,576 | [ROCm] enable HIPMallocAsyncAllocator | ethanwee1 | closed | [
"module: rocm",
"triaged",
"open source",
"Merged",
"Reverted",
"ciflow/trunk",
"release notes: rocm",
"ci-no-td"
] | 27 | CONTRIBUTOR | cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,918,095,202 | [c10d] Fix extra CUDA context created by barrier | kwen2501 | closed | [
"oncall: distributed",
"Merged",
"Reverted",
"ciflow/trunk",
"release notes: distributed (c10d)",
"topic: bug fixes",
"ci-no-td"
] | 17 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149144
Fixes #149119.
In ProcessGroup.hpp, we create a dummy tensor for dispatching. This
requires a correct device index. This PR uses `device_id` given by user
when calling `init_process_group`.
This PR also uses `torch._C._get_a... | true |
2,918,093,634 | [Easy] update pip sources for CUDA in nightly pull tool | XuehaiPan | open | [
"open source",
"topic: not user facing"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149143
* #145685
| true |
2,918,087,968 | ci: Update linux.20_04 --> linux.24_04 | seemethere | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149142
Ubuntu 20.04 is getting deprecated soon so we might as well proactively
move to the latest LTS which is 24.04
> [!NOTE]
> The oldest supported version of python on 24.04 is Python 3.8. Since we test for Python 3.6 compat... | true |
2,918,084,254 | [ONNX] Set `is_in_onnx_export` for dynamo=True | justinchuby | closed | [
"module: onnx",
"triaged"
] | 7 | COLLABORATOR | Currently `is_in_onnx_export()` is True only for the torchscript exporter. We should set it to true during dynamo export as well to support `torch.onnx.ops.symbolic` usage.
Option 1: Users use
```
if torch.onnx.is_in_onnx_export() and torch.compile.is_exporting():
# Do the `torch.onnx.ops.symbolic` thing
```
Opt... | true |
2,918,016,530 | PaddedTensor Init | alexanderb14 | open | [
"open source",
"module: dynamo",
"ciflow/inductor"
] | 3 | NONE | cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,918,012,698 | Gh/alexbrauckmann/paddedtensor init | alexanderb14 | closed | [
"module: dynamo",
"ciflow/inductor"
] | 2 | NONE | Fixes #ISSUE_NUMBER
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,917,984,300 | FSDP with AveragedModel | nikonikolov | open | [
"oncall: distributed",
"triaged",
"module: fsdp"
] | 3 | CONTRIBUTOR | I am trying to use FSDP with `torch.optim.swa_utils.AveragedModel`, but I am getting the error
```
File "/scratch/nikolay_nikolov/.cache/bazel/_bazel_nikolay_nikolov/79bf5e678fbb2019f1e30944a206f079/external/python_runtime_x86_64-unknown-linux-gnu/lib/python3.10/copy.py", line 161, in deepcopy ... | true |
2,917,919,812 | Add back fake class registration to test_torchbind | yushangdi | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | CONTRIBUTOR | Fixes #149121
Summary: as title, to fix https://github.com/pytorch/pytorch/issues/149121
Test Plan:
```
python test/export/test_torchbind.py
```
Differential Revision: D71129321
| true |
2,917,898,165 | Use TorchVersion for triton version check | atalman | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 7 | CONTRIBUTOR | Followup after https://github.com/pytorch/pytorch/pull/149092#issuecomment-2721990321
To use TorchVersion for triton version parsing
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhu... | true |
2,917,891,673 | [PGNCCL] Fix extra CUDA context created by barrier | kwen2501 | closed | [
"oncall: distributed",
"release notes: distributed (c10d)"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #149135
Fixes #149119.
Use correct device to do barrier.
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,917,869,344 | add keepdim to cosine similarity | Isalia20 | open | [
"module: nn",
"triaged",
"open source",
"release notes: onnx",
"topic: improvements"
] | 9 | COLLABORATOR | Fixes #149120
cc @albanD @mruberry @jbschlosser @walterddr @mikaylagawarecki | true |
2,917,847,704 | Implement einsum backprop rather than decomposing | pgmoka | open | [
"module: autograd",
"triaged",
"module: python frontend"
] | 3 | NONE | ### 🚀 The feature, motivation and pitch
Currently when doing einsum backpropagation, the function decomposes into a series of IRs that achieves the einsum function. This is an issue for TPUs as the decomposition creates a significant performance impact due to the potential reshapes.
When looking at IRs for einsum at... | true |
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