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 |
|---|---|---|---|---|---|---|---|---|
2,769,714,249 | [Inductor] Add convolution output size checking to the meta function | DDEle | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor"
] | 4 | CONTRIBUTOR | Fixes #144013
Adding a size check to the meta function, similar to which in the CUDA/CPU aten op.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhu... | true |
2,769,674,242 | [Quant][Inductor][X86] Separate binary post op fusion and lowering for qlinear | Xia-Weiwen | closed | [
"open source",
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"intel",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 8 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144318
* #144312
* __->__ #144224
**Summary**
The current implementation fuses quantized ops and their post ops and lowers the fused op to cpp backend in the same pass. It is better to separate post op fusion and lowering because
- it lo... | true |
2,769,668,541 | Support LayerNorm2d | Luciennnnnnn | open | [
"module: nn",
"triaged"
] | 4 | NONE | ### 🚀 The feature, motivation and pitch
Hi, I want to use a layernorm with BCHW features, where normalization applied to every pixel, see [this](https://github.com/huggingface/pytorch-image-models/blob/131518c15cef20aa6cfe3c6831af3a1d0637e3d1/timm/layers/norm.py#L71) for a reference. Currently, we have to use 2 `resh... | true |
2,769,548,511 | Enable clang-analyzer checks of Clang-tidy | cyyever | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | COLLABORATOR | Fixes #ISSUE_NUMBER
| true |
2,769,523,676 | [dynamo][dicts] Skip dict length guard | 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):
* __->__ #144221
* #144165
* #143997
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,769,476,807 | use `torch.special.xlogy` to implement `x_log_x` | randolf-scholz | closed | [
"module: distributions",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 15 | CONTRIBUTOR | Fixes #144279
Using `x* x.log()` does not produce the correct value when `x=0`.
cc @fritzo @neerajprad @alicanb @nikitaved | true |
2,769,405,685 | Full static typing for `torch.distributions` | randolf-scholz | open | [
"module: distributions",
"module: typing",
"triaged",
"open source",
"release notes: python_frontend"
] | 5 | CONTRIBUTOR | Fixes #144196
Extends #144197 #144106 #144110
## Open Problems /// LSP violations
- [ ] `mixture_same_family.py`: `cdf` and `log_prob` violate LSP (argument named `x` instead of `value`).
- suggestion: Imo these kinds of methods should make use of positional-only parameters, at least in base classes.
- [... | true |
2,769,403,709 | Improve static typing for `torch.Size` | randolf-scholz | closed | [
"module: typing",
"triaged"
] | 0 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
There are several issues with the current type hints for `torch.Size`:
https://github.com/pytorch/pytorch/blob/9f94710e48bfefc6a8e32af956e45d5a847c6467/torch/_C/__init__.pyi.in#L172-L180
It simply subclasses `tuple[int, ...]`, but this causes several typing errors, for ex... | true |
2,769,387,753 | PyTorch Enum PYI stubs are invalid. Fix typing of PYI stubs | Skylion007 | open | [
"module: typing",
"module: lint",
"triaged"
] | 2 | COLLABORATOR | ### 🐛 Describe the bug
Updating mypy reveals that the way we have defined enums in our PYI stub is not valid. Specifically, we are not suppose to annotate the type of any values per https://typing.readthedocs.io/en/latest/spec/enums.html#defining-members . Therefore, we need to fix the typing and update it to a more ... | true |
2,769,344,725 | Update ddp.rst | bm777 | closed | [
"open source"
] | 3 | NONE | Fixes #ISSUE_NUMBER
| true |
2,769,343,284 | [dynamo][user-defined] Share _getattr_static between UserDefinedClass and Object VT | 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):
* __->__ #144215
* #144173
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,769,333,069 | Add overloads to diagonal docs | jackson-tsang578 | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: python_frontend"
] | 10 | CONTRIBUTOR | Fixes #126827. Refactored doc to demonstrate when none of the optional values are passed in. Added another example so that all overloads of the function are covered.
| true |
2,769,328,227 | [onnx] Fix bug for exporting torch.cdist into onnx and support 'compute_mode' | ygq65536 | closed | [
"module: onnx",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: onnx",
"topic: improvements"
] | 6 | CONTRIBUTOR | ### Fix bug for exporting torch.cdist and support 'compute_mode'
In [cdist,](https://github.com/pytorch/pytorch/blob/main/torch/onnx/symbolic_opset9.py#L6181) the 'compute_mode' was ignored, which leads to a big difference of the computation flow between original torch.cdist and the exported onnx file when computing ... | true |
2,769,327,250 | [onnx] export unexpected onnx for torch.cdist, which is slow and easy to cause CUDA OOM | ygq65536 | closed | [
"module: onnx",
"triaged"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
In [cdist,](https://github.com/pytorch/pytorch/blob/main/torch/onnx/symbolic_opset9.py#L6181) the 'compute_mode' was ignored, which leads to a big difference of the computation flow between original torch.cdist and the exported onnx file when computing Euclidean distance (p=2). For computing ... | true |
2,769,284,213 | `torch.nn.functional.one_hot` has inconsistent execution behavior under torch.compile | meetmul | open | [
"high priority",
"triaged",
"oncall: pt2",
"module: dynamo"
] | 5 | NONE | ### 🐛 Describe the bug
First of all, given the following input:
```python
a = torch.arange(0, 5) % 3 # [0,1,2,0,1]
a = a.to('cuda')
num_classes = 1
```
Directly calling `torch.nn.functional.one_hot` will throw a `RuntimeError`, which seems expected since the `max(a) > num_classes` (although the error messa... | true |
2,769,248,572 | Add inheritance possibilities | MaKaNu | open | [
"module: sparse",
"triaged"
] | 0 | NONE | ### 🚀 The feature, motivation and pitch
While inheritance of a normal tensor is possible, a more specialized tensor it seems not be able to achieve, since:
```
NotImplementedError: Cannot access storage of SparseTensorImpl
```
In the following forum post https://discuss.pytorch.org/t/how-to-inherit-sparse-ten... | true |
2,769,186,823 | Update torch-xpu-ops commit pin | EikanWang | closed | [
"open source",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 1 | COLLABORATOR | Update the torch-xpu-ops commit to [28cfac20ec662abdb0ac98faf122450013e8f520](https://github.com/intel/torch-xpu-ops/commit/28cfac20ec662abdb0ac98faf122450013e8f520), includes:
- Disable batch_norm vectorization path to fix accuracy issues.
- Fix the LSRM/RNN implementation error.
Pull Request resolved: https://... | true |
2,769,166,419 | Apply Ruff fixes and pyupgrade to torch/jit | cyyever | closed | [
"oncall: jit",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: jit",
"suppress-bc-linter"
] | 9 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @EikanWang @jgong5 @wenzhe-nrv @sanchitintel | true |
2,769,128,194 | `pack_padded_sequence ` -> `pad_packed_sequence` can silently truncate input tensor when max length is smaller than actual max sequence length | brylee10 | closed | [
"module: nn",
"module: rnn",
"triaged",
"actionable"
] | 2 | NONE | ### 🐛 Describe the bug
Running `pack_padded_sequence` -> `pad_packed_sequence` functions can silently truncates the input tensor when the largest value in `lengths` are smaller than the actual sequence lengths of the input tensor. This truncation occurs without any warning or error.
Expected Behavior: The `pack_... | true |
2,769,121,939 | Error when compiling document | aaronjie | open | [
"module: build",
"module: docs",
"triaged"
] | 3 | NONE | ### 🐛 Describe the bug
Hi there. I tried to compile the doc using following command:
`
git clone https://github.com/pytorch/pytorch.git
cd pytorch/docs
pip install -r requirements.txt
make html
`
However, I encountered following errors:
`
Traceback (most recent call last):
File "/content/pytorch/d... | true |
2,769,068,023 | [5/N] Apply Ruff fixes and pyupgrade to Python 3.9 | cyyever | closed | [
"oncall: distributed",
"oncall: jit",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: fx",
"fx",
"ciflow/inductor",
"suppress-bc-linter"
] | 8 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @EikanWang @jgong5 @wenzhe-nrv @sanchitintel @ezyang @SherlockNoMad | true |
2,769,066,065 | Apply Ruff fixes and pyupgrade | cyyever | closed | [
"oncall: distributed",
"oncall: jit",
"release notes: fx",
"fx",
"module: inductor",
"module: dynamo",
"ciflow/inductor"
] | 1 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @EikanWang @jgong5 @wenzhe-nrv @sanchitintel @ezyang @SherlockNoMad @voznesenskym @penguinwu @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPepple... | true |
2,769,044,898 | Cant’t find amdgpu.ids when installed in venv | Outssiss | closed | [
"needs reproduction",
"module: binaries",
"module: rocm",
"triaged"
] | 5 | NONE | I installed python via pyenv (tried both 3.11.11 and 3.12.8), created a venv and then installed torch in that virtual environment, this throws the warning “amdgpu.ids: No such file or directory” two times in a row, I assume one for the integrated GPU and another one for the dedicated one.
But if instead I install to... | true |
2,769,042,166 | [ca] dedup node names when AOT bwd graph is reused multiple times | xmfan | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"module: compiled autograd"
] | 3 | MEMBER | This error started popping up in HUD CA benchmarks:
```python
File "/data/users/xmfan/core/b/pytorch/torch/_dynamo/compiled_autograd.py", line 371, in dce
self.fx_tracer.graph.eliminate_dead_code(is_impure)
File "/data/users/xmfan/core/b/pytorch/torch/fx/graph.py", line 1862, in eliminate_dead_code
self... | true |
2,768,985,751 | Update core.py to fix typo | jxmorris12 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 13 | CONTRIBUTOR | dype -> dtype
Fixes #ISSUE_NUMBER
| true |
2,768,977,214 | [BE][Ez]: Update CUDNN Frontend submodule to 1.9.0 | Skylion007 | closed | [
"open source",
"better-engineering",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | COLLABORATOR | * Update CUDNN Frontend to 1.9.0, which include some API improvements, new features, and bugfixes. This is a header only lib fix so should be pretty straight forward.
* Nicest feature is that it now logs / print warnings when the CUDNN compiled version does not match the dynamically loaded one
* Fixes corrupted / tru... | true |
2,768,972,651 | [mps/BE] Fix linter warning/advice. | dcci | closed | [
"Merged",
"topic: not user facing",
"module: mps",
"ciflow/mps"
] | 3 | MEMBER | Two spaces before an inline comment according to E261.
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen | true |
2,768,953,718 | [mps/BE] Enable a test that now passes. | dcci | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 9 | MEMBER | After the implementation of floordiv in https://github.com/pytorch/pytorch/commit/464b50dbd7e0692970a2e34aac5b2eeb088741c6 landed, this now passes.
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayi... | true |
2,768,952,636 | [typing] Add type hints to `__init__` methods in `torch.distributions`. | randolf-scholz | closed | [
"module: distributions",
"module: typing",
"triaged",
"open source",
"Merged",
"Stale",
"release notes: python_frontend"
] | 19 | CONTRIBUTOR | Fixes #144196
Extends #144106 and #144110
## Open Problems:
- [x] Annotating with `numbers.Number` is a bad idea, should consider using `float`, `SupportsFloat` or some `Procotol`. https://github.com/pytorch/pytorch/pull/144197#discussion_r1903324769
# Notes
- `beta.py`: needed to add `type: ignore` since ... | true |
2,768,951,708 | [typing] Add static type hints to `torch.distributions`. | randolf-scholz | closed | [
"module: distributions",
"module: typing",
"triaged"
] | 7 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
Current lack of type hints causes some issues, for instance #76772
- [x] Add type hints for `lazy_property` class (#144110)
- [x] Add type hints for `@property` and `@lazy_property` (#144110)
- [x] Add type hints to `__init__` methods (#144197)
- [ ] Add type hints to methods ... | true |
2,768,951,494 | [mps/inductor] Add support for floor(). | dcci | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: mps",
"module: inductor",
"ciflow/inductor"
] | 7 | MEMBER |
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov | true |
2,768,937,877 | [EZ][BE] Cleanup `test_mps_basic` | malfet | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | - Sort imported tests alphabetically
- Run `add` tests with `check_lowp=False` as it is tested explicitly by parametrization
- Do not hardcode device, but rather use `self.device` property
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy... | true |
2,768,916,380 | Cholesky mps implementation | Isalia20 | closed | [
"triaged",
"open source",
"Merged",
"Reverted",
"ciflow/trunk",
"release notes: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 39 | COLLABORATOR | Requested in #77764
PR is still in draft because it needs some cleanups and optimizations to get to cpu performance the least. Tasks:
- [x] Make `upper=True` work, only `upper=False` works now
- [x] Code cleanup
- [x] Optimizations(Though might need some help on this)(tried my best, maybe there is still some mor... | true |
2,768,892,573 | Add support for cpu scalar in addcdiv | EmmettBicker | closed | [
"triaged",
"open source",
"Stale",
"release notes: python_frontend"
] | 5 | CONTRIBUTOR | Fixes #143306
Adds support for CPU scalar for tensor_2 in addcdiv. For example:
```
import torch
a = torch.rand(2, 2, device="cuda")
b = torch.tensor(1e-3)
torch.add(a, b)
torch.addcdiv(a, a, b) # used to fail, now works
```
Nearly identical to #143264 | true |
2,768,845,758 | c10::optional -> std::optional in a few places | jeanschmidt | closed | [
"fb-exported",
"release notes: cpp"
] | 45 | CONTRIBUTOR | Test Plan: Sandcastle
Reviewed By: malfet
Differential Revision: D67816636
| true |
2,768,832,048 | '>>' operator broken on MPS with uint8, pytorch 2.5.1 and nightlies | Vargol | closed | [
"triaged",
"module: correctness (silent)",
"module: mps"
] | 4 | NONE | ### 🐛 Describe the bug
rshift is not working on MPS for unit8, it gives the wrong result. It works for int32, uint8 is used throughout GGUF for quantisation which is getting more and more important.
```py
>>> import torch
>>> x = torch.Tensor([255]).to(torch.uint8)
>>> print (x)
tensor([255], dtype=torch.uint... | true |
2,768,785,557 | Update ruff and black to use Python 3.9 as a baseline | cyyever | closed | [
"open source",
"Stale",
"topic: not user facing"
] | 5 | COLLABORATOR | Fixes #ISSUE_NUMBER
| true |
2,768,680,836 | BackendCompilerFailed error is raised when applying torch.compile on torch.fill | maybeLee | closed | [
"triaged",
"oncall: pt2",
"module: inductor"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
When compiling torch.fill in cuda environment, the compiled function will raise `BackendCompilerFailed` error when input is an `uint` tensor. It seems that this issue is caused by invalid argument type when using triton's API `tl.full`.
Note that directly calling torch.fill with uint tensor do... | true |
2,768,542,491 | Wrong meta function for constant_pad_nd | ywq880611 | open | [
"triaged",
"oncall: pt2",
"module: decompositions",
"module: inductor"
] | 5 | CONTRIBUTOR | ### 🐛 Describe the bug
When I'm working on this [PR](https://github.com/pytorch/pytorch/pull/140399), I meet a test failed case `python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_fft_hfftn_cuda_float16`, it's related to `constant_pad_nd` op.
## Summary
I found there is ... | true |
2,768,512,251 | [inductor] [cpu] `sum-softmax` throw `AssertionError: buf1` | shaoyuyoung | closed | [
"oncall: pt2",
"oncall: cpu inductor"
] | 2 | CONTRIBUTOR | ### 🐛 Describe the bug
**symptom**: when using `.sum` and `torch.nn.Softmax` and setting their `dim=-1`, CPU inductor would throw an assertion error.
**device**: only CPU. triton backend outputs correctly.
I am not sure whether it is my CPU problem. I have run this on colab and got the same result.
```pyt... | true |
2,768,392,600 | Fix annotate_getitem_nodes for new type annotations | cyyever | closed | [
"open source",
"release notes: fx",
"fx"
] | 1 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,768,385,251 | [dynamo][user-defined] Shared getattr_static_helper between UserDefinedClass and UserDefinedObject | anijain2305 | closed | [
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144184
* #144173
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,768,382,668 | [inductor] `index_copy` looses the shape check on inductor | shaoyuyoung | open | [
"triaged",
"oncall: pt2",
"module: inductor"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
**symptom**: eager would throw the error when the shape of x and y is different. But inductor seems to do a special processing.... It broadcasts y to the same shape as x.
**device**: both cuda and CPU
```python
import torch
import torch.nn as nn
torch.manual_seed(0)
torch.set_grad_e... | true |
2,768,382,414 | Fix ruff warnings in caffe2 and functorch | cyyever | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 7 | COLLABORATOR | In preparation for upgrading ruff config to py3.9. | true |
2,768,355,936 | Memory leak trying to average disc/gen losses during HiFiGAN training | AznamirWoW | closed | [] | 3 | NONE | ### 🐛 Describe the bug
Using ```epoch_disc_sum += loss_disc``` and ```epoch_gen_sum += loss_gen_all``` in the code below eats ~3MB/step RAM, so with a train 3500 steps long it consumes ~10GB by the end of the epoch, then the allocated RAM value drops down (triggered by torch.cuda.empty_cache() perhaps)
``` epo... | true |
2,768,345,649 | [Submodule] Upgrade to Cutlass 3.6 | drisspg | closed | [
"module: cuda",
"Merged",
"Reverted",
"ciflow/trunk",
"release notes: sparse",
"ci-no-td"
] | 17 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144180
cc @ptrblck @msaroufim @eqy
| true |
2,768,345,086 | Add fallbacks for aten._assert_tensor_metadata in inductor lowering | yushangdi | closed | [
"fb-exported",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Summary: We are adding `aten._assert_tensor_metadata` op in exported graphs in https://github.com/pytorch/pytorch/pull/142420, and we need an explicit fallback when `config.implicit_fallbacks = False`.
Test Plan:
```
buck2 run mode/dev-nosan fbcode//caffe2/test/inductor:test_aot_inductor -- -r assert_tensor_meta
``... | true |
2,768,329,243 | c10::string_view -> std::string_view in Device.cpp | r-barnes | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: cpp",
"topic: improvements"
] | 4 | CONTRIBUTOR | Test Plan: Sandcastle
Differential Revision: D67817163
| true |
2,768,328,235 | c10::string_view -> std::string_view in torchgen | r-barnes | closed | [
"fb-exported",
"Stale",
"ciflow/trunk",
"release notes: cpp",
"topic: improvements",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Test Plan: Sandcastle
Differential Revision: D67817109
| true |
2,768,313,729 | [inductor] Avoid specializing over symbolic value during constant folding | StrongerXi | 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):
* __->__ #144176
Fixes #143667. See more context in the issue.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler ... | true |
2,768,299,353 | Compiled autograd fails due to `AttributeError: 'NoneType' object has no attribute 'bw_module'` | akihironitta | closed | [
"triaged",
"oncall: pt2",
"module: compiled autograd"
] | 2 | CONTRIBUTOR | ### 🐛 Describe the bug
Tried to use Compiled Autograd with this patch https://github.com/pyg-team/pytorch-frame/commit/a3df884148daf3f1983685aff926166af37a371a on nightly, following the tutorial https://pytorch.org/tutorials/intermediate/compiled_autograd_tutorial.html, however, it fails due to `AttributeError: 'None... | true |
2,768,281,733 | [dynamo][user-defined] Use __getattribute__ for getsetdescriptor lookups | anijain2305 | closed | [
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144184
* __->__ #144174
* #144173
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,768,279,561 | [dynamo][user-defined] Remove __getattribute__ checks and add getsetdescriptor | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144184
* __->__ #144173
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,768,275,133 | Refactor FxGraphDrawer to use HTML-like labels (#137726) (#137726) | exclamaforte | closed | [
"fb-exported",
"Stale",
"ciflow/trunk",
"release notes: releng",
"fx",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Summary:
Fixes https://github.com/pytorch/pytorch/issues/137499
Testing: Added a new unit test to make sure that the regression case succeeds.
I'm debating about whether to make the borders visible. I'm partial to no borders, but it might make it harder for some people to read?
![68a2b0e3-orig_fx_graph_diagram](https:/... | true |
2,768,267,438 | [dtensor] deprecate _shard_tensor to use src_data_rank=None | wanchaol | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (dtensor)"
] | 4 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144171
as titled, we can achieve no comm sharding for the inference case with
src_data_rank=None, so deprecate the private APi
cc @H-Huang @awgu @kwen2501 @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,768,260,704 | [MPS] Fix `nllnd_loss_backward` crash with different dtypes | malfet | closed | [
"Merged",
"topic: bug fixes",
"release notes: mps",
"ciflow/mps"
] | 5 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #143966
* __->__ #144170
* #144084
* #144083
* #144162
* #144167
Otherwise, invoking with torch.half inputs, but float weights will result in
```
(mpsFileLoc): /AppleInternal/Library/BuildRoots/b11baf73-9ee0-11ef-b7b4-7aebe1f78c73/Library... | true |
2,768,244,186 | [mps/inductor] Add support for log(). | dcci | closed | [
"Merged",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 5 | MEMBER | Tested via:
```
% pytest test/inductor/test_mps_basic.py
```
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertf... | true |
2,768,241,947 | detect fake mode in proxy_tensor creation in make_fx | yushangdi | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"fx",
"ciflow/inductor"
] | 5 | CONTRIBUTOR | Summary:
Fixes https://github.com/pytorch/pytorch/issues/143742
A FakeTensorMode may already exist when we are setting the "val" meta of a proxy tensor. We should detect existing FakeTensorMode before creating a new one.
Otherwise, we could cause an error when using `detect_fake_mode` later, because there are now mul... | true |
2,768,221,425 | [MPSInductor] Extend `constant` to bool type | malfet | closed | [
"Merged",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #143966
* #144170
* #144084
* #144083
* #144162
* __->__ #144167
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPep... | true |
2,768,214,438 | [dtensor] move all tests to distribute/tensor folder | wanchaol | closed | [
"oncall: distributed",
"Merged",
"Reverted",
"ciflow/trunk",
"release notes: releng",
"fx",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 8 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144166
as titled, mainly moving files
cc @H-Huang @awgu @kwen2501 @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv @voznesenskym @penguinwu @Guobing-Chen @XiaobingSuper @zhuhaozhe... | true |
2,768,186,248 | [dynamo][easy] Move dict tests to test_dicts.py | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 12 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144342
* __->__ #144165
* #143997
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,768,147,221 | Make whl metadata public readable | huydhn | closed | [
"Merged",
"topic: not user facing",
"test-config/default"
] | 3 | CONTRIBUTOR | After https://github.com/pytorch/pytorch/pull/143677/files#r1902138480 lands, the new nightly wheel metadata is not readable publicly causing pip install to fail, for example https://github.com/pytorch/pytorch/actions/runs/12603415308/job/35128414909.
FBGEMM folks are also noticed this failure on their end (cc @q10) | true |
2,768,116,315 | [dynamo] Trace torch.typename | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144165
* #143997
* #144160
* __->__ #144163
* #144158
* #144141
* #144130
* #144129
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amja... | true |
2,768,080,704 | [MPSInductor] Add `remainder` op | 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):
* #143966
* #144170
* #144084
* #144083
* __->__ #144162
* #144167
For it to return correct result for half precision type it must be upcast to float
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuha... | true |
2,768,062,489 | [BE] typing for decorators | aorenste | closed | [
"oncall: distributed",
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: quantization",
"topic: not user facing",
"fx",
"module: inductor",
"ciflow/inductor",
"release notes: AO frontend"
] | 9 | CONTRIBUTOR | Summary:
Untyped decorators strip annotations from the decorated items.
- _compile
- _inductor/fx_passes/post_grad
- _inductor/lowering
- _library/custom_ops
- _meta_registrations
- _ops
- _refs/nn/functional
- ao/quantization/quantizer/xnnpack_quantizer_utils
- distributed/_composable/contract
- fx/experimental/graph... | true |
2,768,050,084 | [dynamo][lazy] LazyVT utils to get original value/source and is_hashable | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144165
* #143997
* __->__ #144160
* #144163
* #144158
* #144141
* #144130
* #144129
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amja... | true |
2,768,031,584 | Allow generic python data structure input for torch.autograd.Function | nmerrillq | open | [
"module: autograd",
"triaged",
"needs research",
"has workaround"
] | 4 | NONE | ### 🚀 The feature, motivation and pitch
I have a custom C++ function that takes in dicts of inputs which can contain different tensors depending on the mode and returns the gradients in the backwards pass. Currently, torch.autograd.Function does not support dict input. It would be nice if it could support dict/list/t... | true |
2,768,005,003 | [dynamo][easy] Move symnode helpers to utils | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"merging"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144165
* #143997
* #144160
* #144163
* __->__ #144158
* #144141
* #144130
* #144129
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amja... | true |
2,768,004,191 | Revert "Add support for `contextmanager` in Dynamo (#136033)" | guilhermeleobas | closed | [
"open source",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 8 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144157
This reverts commit 673cc88fd607ed888662e8732df0dc935841b20b.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,767,947,017 | [MPSInductor] Add `constant`, `isinf` and `isnan` ops | malfet | closed | [
"Merged",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #143966
* #144084
* #144083
* #144050
* __->__ #144156
* #144105
* #144122
* #144051
* #144055
Per Table 6.5 of [Metal Language Specification](https://developer.apple.com/metal/Metal-Shading-Language-Specification.pdf) infinity is `HUGE_VALF... | true |
2,767,918,290 | [ez] Use strip for arg sanitization in upload_metadata_file to improve readability | clee2000 | closed | [
"Merged",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Minor thing that improves readability. I didn't realize you could specify characters for strip when I wrote this | true |
2,767,918,036 | fix memleak, detach instead of clone to not drag around graph | janeyx99 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/periodic"
] | 5 | CONTRIBUTOR | Thanks @clee2000 for bringing the memleak to my attention: https://github.com/pytorch/pytorch/actions/runs/12549765082/job/34996244798.
This memleak in the test was caused by the differentiable flavors. Because we had param.clone() and param persisted outside the for loop, the autograd graph would continue growing f... | true |
2,767,835,554 | Update copyright year to 2025 | kuraga | closed | [
"triaged",
"open source",
"topic: not user facing"
] | 3 | CONTRIBUTOR | null | true |
2,767,810,384 | `torch.device(0)` makes CUDA init fail in subprocess since `2.5.0` | cbensimon | closed | [
"high priority",
"module: cuda",
"triaged",
"module: regression",
"module: accelerator"
] | 11 | NONE | ### 🐛 Describe the bug
```python
from multiprocessing import Process
import torch
torch.device(0) # Note that torch.device('cuda') or torch.device('cuda:0') do not trigger the issue
def cuda_init():
torch.Tensor([0]).cuda()
p = Process(target=cuda_init)
p.start()
p.join()
assert p.exitcode == 0... | true |
2,767,606,919 | fix a bug for fft c2c stride in cpu | ywq880611 | closed | [
"triaged",
"open source",
"module: fft"
] | 5 | CONTRIBUTOR | Fixes #144150
Please see details in the issue.
cc @mruberry | true |
2,767,606,307 | Wrong stride for fft_c2c for cpu tensor | ywq880611 | closed | [
"module: cpu",
"triaged",
"module: mkl",
"module: fft"
] | 2 | CONTRIBUTOR | ### 🐛 Describe the bug
## Summary
I found there are some diffs for output tensor's stride for `fft_c2c` op on different device, is it an expected behavior? I also found there are some other issues already have, but it seems this kind of problem was still not fixed yet... and it may block this [PR](https://github.com... | true |
2,767,510,309 | S390x cancelled jobs cleanup | AlekseiNikiforovIBM | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/s390"
] | 4 | COLLABORATOR | Sometimes job is cancelled during nested docker container creation.
This leads to nested docker container not being stopped and worker hanging forever in the job.
Improve nested docker containers cleanup for these cases.
| true |
2,767,454,835 | Unable to parse and visualize "trace view" with tensorboard | Neronjust2017 | open | [
"module: tensorboard",
"oncall: profiler"
] | 0 | NONE | ### 🐛 Describe the bug
I'm using the following code to profile my PyTorch model. https://github.com/Lightning-AI/pytorch-lightning/issues/20525
```python
import torch
from pytorch_lightning.profilers import PyTorchProfiler
import lightning as L
schedule = torch.profiler.schedule(
... | true |
2,767,208,118 | Introduce test skip markers for Sandcastle | Flamefire | closed | [
"oncall: distributed",
"oncall: jit",
"triaged",
"open source",
"Stale",
"release notes: package/deploy"
] | 2 | COLLABORATOR | Simplify the markers a bit to make them more expressive
It also makes it easier to skip those tests "manually" by changing the single definition of the skip marker.
This is important to reduce potential false positives (of failed tests) in some environments, such as HPC clusters
cc @H-Huang @awgu @kwen2501 @wancha... | true |
2,767,202,095 | Skip ao_sparsity TestComposability for missing FBGEMM | Flamefire | closed | [
"triaged",
"open source",
"Merged",
"Stale",
"ciflow/trunk",
"topic: not user facing"
] | 5 | COLLABORATOR | Those tests (from test_ao_sparsity) require FBGEMM which may not be available. So add the skip decorator.
Fixes #87364 | true |
2,767,154,255 | [reland][attempt2][AMD] Turn on TF32 for aten::mm | xw285cornell | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"ci-no-td"
] | 5 | CONTRIBUTOR | Summary:
https://github.com/pytorch/pytorch/pull/143549 was reverted due to some
internal/oss tooling issue. Relanding.
hipblaslt supports TF32, so adding the support.
Original PR https://github.com/pytorch/pytorch/pull/139869
Test Plan: CI
Differential Revision: D67785496
cc @voznesenskym @penguinwu @EikanWang ... | true |
2,767,093,520 | torch.onnx.export failed with Process finished with exit code 136 (interrupted by signal 8:SIGFPE) | My-captain | closed | [
"module: crash",
"module: onnx",
"triaged"
] | 21 | NONE | ### 🐛 Describe the bug
Hello everyone,
I am attempting to export the visual encoder (SigLIP-400M) of MiniCPMV-2.6 along with the modality projection module (Resampler) to ONNX. Here are the issues I'm encountering:
1. The export fails with an exit code 136 (interrupted by signal 8: SIGFPE), regardless of whet... | true |
2,767,081,296 | Bug in using Intel A750 GPU | ca1ic0 | closed | [
"triaged",
"module: xpu"
] | 14 | NONE | ### 🐛 Describe the bug
According to the [https://pytorch.org/docs/main/notes/get_start_xpu.html](url),
0. i install ubuntu24.04 OS
1. i install gpu driver
2. i install the intel ai essensial package
3. i install the miniconda and create new env
```
conda create -n torch-xpu python
```
4. install the preview ... | true |
2,767,024,119 | [torch.compile] Errors on autograd.Function forward returns non-Tensor | yanboliang | closed | [
"triaged",
"oncall: pt2",
"module: higher order operators",
"module: pt2-dispatcher",
"dynamo-autograd-function"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
Repro:
```
import torch
from torch.autograd import Function
class MyFunction(Function):
@staticmethod
def forward(ctx, x):
return x, [1, 2, 3] # Tensor and list of integers
@staticmethod
def backward(ctx, grad_output1, grad_output2):
return grad_ou... | true |
2,767,008,867 | [dynamo][easy] Miscellaneous fixes | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144062
* #144061
* #143997
* __->__ #144141
* #144130
* #144129
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,767,008,557 | [Intel GPU][Inductor] Convert Conv1D to 2D in inductor | jianyizh | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/xpu"
] | 4 | CONTRIBUTOR | Layout optimization in inductor does not apply to Conv1D. We convert Conv1D to channel last Conv2D for better performance on Intel GPU. For example, demucs fp16 inference in torchbench can improve from 149ms to 91ms on Max 1100.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @bl... | true |
2,766,947,941 | Update TorchDynamo-based ONNX Exporter memory usage example code. | fatcat-z | closed | [
"module: onnx",
"open source",
"Merged",
"ciflow/trunk",
"release notes: onnx",
"topic: docs"
] | 4 | COLLABORATOR | Address related comments earlier. | true |
2,766,932,075 | Increase C10_COMPILE_TIME_MAX_GPUS to 128 | cyyever | closed | [
"triaged",
"open source",
"Merged",
"Reverted",
"Stale",
"ciflow/trunk",
"topic: not user facing",
"ci-no-td"
] | 20 | COLLABORATOR | To facilitate further possible changes of DeviceIndex to int16_t. | true |
2,766,920,691 | Use more bits to represent `DeviceIndex` | kstreee-furiosa | closed | [] | 2 | NONE | ### 🚀 The feature, motivation and pitch
In some case, current 8 bits representation of DeviceIndex not enough to cover all devices. (actually, it is 7 bits, Device.h requires non-negative value for DeviceIndex, so the first bits can't use)
In our case ([FuriosaAI](https://furiosa.ai/)), RNGD has 8 PEs within a sin... | true |
2,766,908,872 | remove allow-untyped-defs from nn/utils/_deprecation_utils.py | bobrenjc93 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144136
| true |
2,766,908,831 | remove allow-untyped-defs from export/_remove_auto_functionalized_pass.py | bobrenjc93 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"release notes: export"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144136
* __->__ #144135
| true |
2,766,908,798 | remove allow-untyped-defs onnx/_internal/exporter/_fx_passes.py | bobrenjc93 | closed | [
"Merged",
"ciflow/trunk",
"release notes: onnx",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144136
* #144135
* __->__ #144134
| true |
2,766,908,767 | remove allow-untyped-defs from torch/onnx/operators.py | bobrenjc93 | closed | [
"Merged",
"ciflow/trunk",
"release notes: onnx",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144136
* #144135
* #144134
* __->__ #144133
| true |
2,766,908,735 | remove allow-untyped-defs from torch/jit/_passes/_property_propagation.py | bobrenjc93 | closed | [
"oncall: jit",
"Merged",
"ciflow/trunk",
"release notes: jit",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144136
* #144135
* #144134
* #144133
* __->__ #144132
cc @EikanWang @jgong5 @wenzhe-nrv @sanchitintel | true |
2,766,908,694 | remove allow-untyped-defs from torch/distributed/fsdp/_dynamo_utils.py | bobrenjc93 | closed | [
"oncall: distributed",
"module: typing",
"Merged",
"release notes: distributed (fsdp)",
"topic: not user facing",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144136
* #144135
* #144134
* #144133
* #144132
* __->__ #144131
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @ezyang @malfet @xuzhao9 @gramster | true |
2,766,905,749 | [dynamo][easy] Minor fixes in guards.cpp | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144062
* #144061
* #143997
* #144141
* __->__ #144130
* #144129
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,766,905,690 | [dynamo] remove inline inbuilt tests as flag is enabled by default | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144062
* #144061
* #143997
* #144141
* #144130
* __->__ #144129
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,766,876,459 | Enable IPO on torch targets | cyyever | closed | [
"triaged",
"open source",
"Stale",
"ciflow/binaries",
"topic: not user facing"
] | 13 | COLLABORATOR | Try IPO builds | true |
2,766,857,474 | Fix C++20 Wambiguous-reversed-operator warnings | cyyever | closed | [
"module: cpu",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 7 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 | true |
2,766,847,613 | Use sccache 0.9.0 on ROCm build job | huydhn | closed | [
"module: rocm",
"Merged",
"topic: not user facing",
"test-config/default",
"ciflow/rocm"
] | 7 | CONTRIBUTOR | TSIA, sccache 0.9.0 seems to work fine with ROCm build job
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
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