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 |
|---|---|---|---|---|---|---|---|---|
3,003,852,363 | Inconsistent document for torch.export and torch.compile | ChuanqiXu9 | closed | [
"oncall: pt2",
"oncall: export"
] | 2 | CONTRIBUTOR | ### 📚 The doc issue
The document (https://pytorch.org/docs/stable/export.html) for torch.export say:
```
[torch.export.export()](https://pytorch.org/docs/stable/export.html#torch.export.export) takes an arbitrary Python callable (a [torch.nn.Module](https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torc... | true |
3,003,696,746 | [Optimus][Observability] Improve tlparse logging | mengluy0125 | closed | [
"fb-exported",
"Merged",
"Reverted",
"ciflow/trunk",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"release notes: inductor",
"ci-no-td"
] | 18 | CONTRIBUTOR | Summary: We improve tlparse logging for Optimus graph transformaton to enable easier debug
Test Plan:
```
TORCH_TRACE=~/my_trace_log_dir CUDA_VISIBLE_DEVICES=5 buck2 run mode/opt //aps_models/ads/ecosystem/tooling/tools/efficient_module_suite/pyper_models:pyper_model_perf_benchmark -- --flow_id 720055919 --shrink_... | true |
3,003,686,796 | [Inductor][FlexAttention] fix `vars_and_sizes` divisor error | BoyuanFeng | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"module: flex attention"
] | 3 | CONTRIBUTOR | Triton codegen currently [sorts vars by divisor](https://github.com/pytorch/pytorch/blob/ae6f6b8efb6380a94621d61100ffb05dab05db27/torch/_inductor/codegen/simd.py#L233-L237). When there are two vars with the same divisor, the order is undecided.
```python
nodes.sort(
key=lambda x: V.graph.sizevars.size_hint(
... | true |
3,003,678,336 | [invoke_subgraph][fake tensor] Add finalizer on subgraph instead of the functionalize ctx wrapper | anijain2305 | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor",
"ci-no-td"
] | 13 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152062
* #151961
* #151957
* #151477
* __->__ #151633
* #151409
| true |
3,003,666,460 | [executorch hash update] update the pinned executorch hash | pytorchupdatebot | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 3 | COLLABORATOR | This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned executorch hash. | true |
3,003,641,246 | distributed: add distributed P2P TensorQueue and TensorStore | d4l3k | open | [
"oncall: distributed"
] | 2 | MEMBER | This is an implementation of a distributed tensor queue and store system.
This uses `TCPStore`'s queue implementation to do a fully multi-reader multi-writer queue implementation. This uses the store for metadata exchange but all tensors are transferred via the global ProcessGroup (i.e. NCCL/gloo).
As such this s... | true |
3,003,638,172 | Don't eagerly create AliasInfo in parseAliasDeclaration | swolchok | closed | [
"oncall: jit",
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: jit"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151682
* #151697
* __->__ #151630
* #151629
* #151628
* #151627
* #151626
No need to create an AliasInfo...unless we need it.
Differential Revision: [D73129452](https://our.internmc.facebook.com/intern/diff/D73129452/)
cc @EikanWang @jgon... | true |
3,003,638,122 | Use fmt::format for debug strings in Library init | swolchok | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: bazel"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151682
* #151697
* #151630
* __->__ #151629
* #151628
* #151627
* #151626
Observed several ms taken during `import torch` by c10::str here.
Differential Revision: [D73129453](https://our.internmc.facebook.com/intern/diff/D73129453/) | true |
3,003,638,084 | Reserve vector in StringCordView ctor | swolchok | closed | [
"oncall: jit",
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151682
* #151697
* #151630
* #151629
* __->__ #151628
* #151627
* #151626
Clear missing reserve (we should expect that pieces are not empty).
Differential Revision: [D73129445](https://our.internmc.facebook.com/intern/diff/D73129445/)
cc ... | true |
3,003,638,036 | Reserve vectors in FunctionSchema::cloneWithRealTypes | swolchok | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151682
* #151697
* #151630
* #151629
* #151628
* __->__ #151627
* #151626
1) reserving is much better than not reserving
2) std::transform for a 1-line-body loop is generally not considered to be an improvement (and doesn't get seem to ge... | true |
3,003,637,980 | Overload Library::def rather than templating it | swolchok | closed | [
"module: cpp",
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 8 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151682
* #151697
* #151630
* #151629
* #151628
* #151627
* __->__ #151626
It ends up being templated over a bunch of reference-to-array-of-characters types with different lengths, such as `char const (&) [88]`, which is an annoyance when pr... | true |
3,003,637,218 | [Profiler] Remove Decref From Python Context | sraikund16 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: profiler",
"topic: bug fixes"
] | 5 | CONTRIBUTOR | Summary: When doing on-demand profiler with stack, the decref causes a segfault. I tried checking the refcount and the object itself and they both look fine but still segfaults every time. Lets remove it for now and revisit.
This will induce a small memory leak but it should be small enough that it does not create a... | true |
3,003,629,504 | [export] suggest dynamic re-export in input constraints hook | pianpwk | closed | [
"Merged",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export"
] | 4 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
| true |
3,003,624,056 | [ONNX][Eazy] Update onnx program doc formatting and improve robustness | justinchuby | closed | [
"module: onnx",
"open source",
"Merged",
"ciflow/trunk",
"release notes: onnx",
"topic: improvements"
] | 7 | COLLABORATOR | - Update docstring list formatting
- Use a try finally block to keep the model unmodified if save() fails.
| true |
3,003,542,814 | refresh benchmark results | laithsakka | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 5 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151622
updating due to <1.5% increases in https://github.com/pytorch/pytorch/pull/151469
not all benchmarks were updated
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-n... | true |
3,003,536,919 | Add jk for force_disable_caches | oulgen | 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):
* __->__ #151621
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
3,003,509,099 | [fake tensor] Support list of outputs in caching | anijain2305 | open | [
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151620
* #150704
* #151410
* #151409
* #151756
* #151633
* #151477
* #151357
* #151256
* #151330
| true |
3,003,496,951 | DISABLED test_builtin_score_mods_float32_score_mod0_cuda_float32 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_float32_score_mod0_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40745552837)... | true |
3,003,496,905 | DISABLED test_builtin_score_mods_dynamic_float16_score_mask_mod3_cuda_float16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_dynamic_float16_score_mask_mod3_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs... | true |
3,003,496,849 | DISABLED test_builtin_score_mods_different_block_size_float16_score_mod6_BLOCK_SIZE_128_cuda_float16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_different_block_size_float16_score_mod6_BLOCK_SIZE_128_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.c... | true |
3,003,496,846 | DISABLED test_non_equal_head_dims_score_mod4_bfloat16_head_dims1_cuda_bfloat16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_non_equal_head_dims_score_mod4_bfloat16_head_dims1_cuda_bfloat16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/run... | true |
3,003,496,845 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod6_BLOCK_SIZE_256_cuda_float32 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_different_block_size_float32_score_mod6_BLOCK_SIZE_256_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.c... | true |
3,003,496,636 | DISABLED test_non_equal_head_dims_score_mod6_bfloat16_head_dims1_cuda_bfloat16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_non_equal_head_dims_score_mod6_bfloat16_head_dims1_cuda_bfloat16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/run... | true |
3,003,496,579 | DISABLED test_builtin_score_mods_float32_score_mod5_cuda_float32 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_float32_score_mod5_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40743981093)... | true |
3,003,490,700 | index_select performance | ngimel | open | [
"module: performance",
"triaged",
"actionable"
] | 12 | COLLABORATOR | According to my cursory benchmarking, `gather` is always better than `index_select` and it is strictly more expressive
```
def comp_index_select(M,N,K, dim):
def gather(x, dim, ind):
shape_ind = [1] * x.ndim
shape_ind[dim] = ind.shape[0]
shape_out = list(x.shape)
shape_out[dim] = ind... | true |
3,003,476,680 | Throw an error in get_pip_packages if pip list returns an error code. | naromero77amd | closed | [
"module: collect_env.py",
"triaged",
"open source",
"topic: bug fixes",
"topic: not user facing"
] | 2 | COLLABORATOR | Fixes #147669
Error handling for pip_get_packages when pip list returns an error code.
| true |
3,003,456,074 | Error is incorrectly thrown for histc in deterministic mode | ngimel | closed | [
"module: cuda",
"triaged",
"module: determinism",
"actionable"
] | 0 | COLLABORATOR | `histc` for integer inputs is not non-deterministic yet an error is thrown when it's called in the deterministic mode:
```
In [1]: import torch
In [2]: torch.set_deterministic_debug_mode("error")
In [3]: x=torch.randint(10, (100,))
In [4]: x=torch.randint(10, (100,), device="cuda")
In [5]: torch.histc(x)
----------... | true |
3,003,408,701 | Unpack the output code in the standalone_compile | oulgen | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151603
* __->__ #151609
* #151768
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
3,003,383,561 | Fix linting errors on top of PR #151250 | Camyll | closed | [
"oncall: fx",
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | fix linting errors on top of exported diff
[#151250
](https://github.com/pytorch/pytorch/pull/151250)
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv @voznesenskym @penguinwu @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
3,003,382,733 | collect_env: gracefully handle no pip | adamjstewart | closed | [
"open source",
"Merged",
"release notes: python_frontend",
"topic: bug fixes"
] | 3 | CONTRIBUTOR | If pip is not installed:
### Before
```console
> python3 torch/utils/collect_env.py
Collecting environment information...
Traceback (most recent call last):
File "/Users/Adam/pytorch/torch/utils/collect_env.py", line 694, in <module>
main()
~~~~^^
File "/Users/Adam/pytorch/torch/utils/collect_e... | true |
3,003,369,011 | [easy] Update test/dynamo/test_structured_trace.py | masnesral | 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):
* __->__ #151606
* #151599
Summary: test/dynamo/test_structured_trace.py is out of date because of some new fields. (I guess the test is disabled?). Bring it up to date.
Test Plan: `python test/dynamo/test_structured_trace.py`
Fixes ... | true |
3,003,334,440 | added six and pyyaml to requirements.txt to fix missing module error … | Adagedo | open | [
"triaged",
"open source",
"topic: not user facing"
] | 2 | NONE |
This PR adds the six and pyyaml module to the project’s dependencies to resolve a ModuleNotFoundError during the build process. The six module is required for compatibility between Python 2 and 3, and this change ensures the build process runs smoothly by including it in the environment setup. | true |
3,003,333,481 | [DRAFT] fix issues related to deferred assertion on unabcked floats | laithsakka | open | [
"module: cpu",
"release notes: fx",
"fx",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151604
* #151494
* #151492
* #151171
* #151170
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @jerryzh168 @ezyang @SherlockNoMad @EikanWang @wenzhe-nrv | true |
3,003,329,802 | Introduce unsafe way to mark functions as cacheable | oulgen | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151603
* #151609
* #151768
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
3,003,284,533 | Add dates to pages | svekars | closed | [
"module: docs",
"Merged",
"topic: docs",
"topic: not user facing"
] | 4 | CONTRIBUTOR | cc @sekyondaMeta @AlannaBurke
re: #150873 | true |
3,003,233,055 | [dynamic shapes] user-code friendly statically_known_true, has_static_value | pianpwk | closed | [
"Merged",
"ciflow/trunk",
"module: dynamo",
"ciflow/inductor",
"release notes: export"
] | 4 | CONTRIBUTOR | Fixes #151480
Allows `statically_known_true` in user code, as well as introducing `has_static_value`, returning True if the input has a static bool/float/int value
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @... | true |
3,003,225,690 | [MPS] Allow isin for mixed types | malfet | closed | [
"Merged",
"topic: bug fixes",
"release notes: mps",
"ciflow/mps"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151600
To follow pattern set by CPU and CUDA impls: define common_dtype and optionally casts `elements` and `test_elements` to common dtype if needed
- Add regression test, though skip it on MacOS-13, as `isin` seems to produce g... | true |
3,003,223,919 | [easy] Update test/dynamo/test_utils.py | masnesral | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151606
* __->__ #151599
Summary: test/dynamo/test_utils.py is out of date because of some new dynamo_timed fields. (I guess the test is disabled?). Bring it up to date
Test Plan: `python test/dynamo/test_utils.py`
Fixes #148093
... | true |
3,003,218,653 | Fix uint view copy | eellison | 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):
* __->__ #151598
* #151562
Fix for https://github.com/pytorch/pytorch/issues/151156. We have some logic to undo our upcast prior to dtype bitcast. This pr cleans up that logic using dtypes in codegen.
cc @voznesenskym @penguinwu @EikanW... | true |
3,003,183,109 | [export] allow partially specifying keys for dynamic shapes dict spec | pianpwk | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"release notes: export",
"ci-no-td"
] | 14 | CONTRIBUTOR | Fixes #148564
Should help with exporting HF-style models, so users don't have to specify 100 Nones
| true |
3,003,181,715 | Add OIDC perms to windows-[build|test] workflows | zxiiro | open | [
"triaged",
"open source",
"ciflow/trunk",
"topic: not user facing",
"ciflow/xpu"
] | 4 | COLLABORATOR | Update workflow to use OIDC authentication to access AWS resources rather than assuming the runner's default role. This is part of the multicloud effort to prepare jobs to support being run in non-AWS clouds where assumption of EC2 instance role cannot be used.
The JWT ID token requires id-token: write in order to c... | true |
3,003,159,448 | Remove `reinterpret_cast`s with undefined behavior from stable/library.h | swolchok | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: cpp",
"ci-no-td"
] | 17 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151595
There is a list of valid uses of `reinterpret_cast` (see https://en.cppreference.com/w/cpp/language/reinterpret_cast), and the use here was not on the list, hence undefined behavior. Implement what we meant using memcpy, which... | true |
3,003,156,743 | [CI][CUDA] Move cu118 distributed pull jobs to cu126, move cu124-sm75 to cu126-sm75 | nWEIdia | open | [
"oncall: distributed",
"triaged",
"open source",
"topic: not user facing",
"keep-going"
] | 1 | COLLABORATOR | See: https://github.com/pytorch/pytorch/issues/147383
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @tinglvv @eqy @ptrblck @atalman @malfet | true |
3,003,152,340 | Remove `reinterpret_cast`s with undefined behavior from stable/library.h | swolchok | closed | [
"fb-exported"
] | 5 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151593
There is a list of valid uses of `reinterpret_cast` (see https://en.cppreference.com/w/cpp/language/reinterpret_cast), and the use here was not on the list, hence undefined behavior. Implement what we meant using memcpy, which... | true |
3,003,148,325 | Xcode 16+: duplicate LC_RPATH '@loader_path' | adamjstewart | open | [
"module: build",
"triaged"
] | 12 | CONTRIBUTOR | ### 🐛 Describe the bug
I'm trying to build PyTorch 2.6.0 on macOS 15.4 with Xcode 16.3 and Apple Clang 17. After applying @malfet's #151344, I am able to successfully build PyTorch. However, when I try to import PyTorch, I see:
```pycon
>>> import torch
Traceback (most recent call last):
File "<python-input-0>", li... | true |
3,003,137,625 | Device Error on vmap | zengkaipeng | open | [
"triaged",
"actionable",
"module: vmap",
"module: functorch"
] | 0 | NONE | ### 🐛 Describe the bug
When using `vmap`, if you assign a tensor (or a part of it) to a single value (e.g., a scalar float), a device error may occur. It indicates that you can't assign a CPU tensor to a tensor on `cuda:0`. I'm not sure if this is a bug.
``` Python
import torch
from torch.func import vmap
class Mod... | true |
3,003,108,264 | [dynamic shapes] be less aggressive with runtime assert CSE for bounds | pianpwk | closed | [
"Merged",
"ciflow/trunk",
"release notes: fx",
"fx",
"module: dynamo",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Fixes #150540
Fixes #147772
Stops trying to CSE bound expressions, only does exact deduplication for runtime asserts. Adds the test cases to check that AOTAutograd doesn't data-dependent error out when retracing due to not seeing the asserts.
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv @voznesenskym... | true |
3,003,103,807 | [inductor] alignment assertion failure on certain GGUF models in ComfyUI | StrongerXi | closed | [
"triaged",
"oncall: pt2",
"module: inductor"
] | 6 | CONTRIBUTOR | ### 🐛 Describe the bug
It's a bit hard to get a standalone repro without using ComfyUI. But here's what I have:
1. Backtrace: [P1787488454](https://www.internalfb.com/intern/paste/P1787488454)
2. [tlparse](https://manifold.edge.x2p.facebook.net/v0/read/tree/logs/.tmppw0G7V/index.html?bucketName=tlparse_reports&apiKey... | true |
3,003,100,785 | Generalize installing to nonlocals | Lucaskabela | closed | [
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151588
* #151135
* #151134
* #151133
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
3,003,045,027 | [ROCm] Use original drm repo | clee2000 | closed | [
"module: rocm",
"topic: not user facing",
"ciflow/rocm"
] | 2 | CONTRIBUTOR | Reverts https://github.com/pytorch/pytorch/pull/149380/files
It is past the date mentioned in the comment, and I started failing to build the rocm libtorch and manywheel images today
https://github.com/pytorch/pytorch/actions/runs/14504543825/job/40738794246#step:3:18481
cc @jeffdaily @sunway513 @jithunnair-amd @p... | true |
3,003,040,026 | Deploy to some faster PyPi mirror | iirekm | closed | [
"needs reproduction"
] | 3 | NONE | `poetry add torch` is insanely slow (despite having good internet connection), mostly because downloading CUDA libraries. `poetry add torch` is running already for 2 hours on my laptop!
The issue seems worse and worse from version to version (libraries get bigger and/or pypi gets slower).
It works fast only in cloud (e... | true |
3,003,035,648 | Add OIDC permissions to linux-test workflow | zxiiro | open | [
"triaged",
"open source",
"ciflow/trunk",
"topic: not user facing",
"ciflow/periodic",
"ciflow/inductor",
"ciflow/inductor-perf-compare",
"ciflow/slow",
"ciflow/torchbench",
"ciflow/inductor-micro-benchmark",
"ciflow/s390",
"ciflow/inductor-micro-benchmark-cpu-x86",
"ciflow/op-benchmark"
] | 1 | COLLABORATOR | Update workflow to use OIDC authentication to access AWS resources rather than assuming the runner's default role. This is part of the multicloud effort to prepare jobs to support being run in non-AWS clouds where assumption of EC2 instance role cannot be used.
The JWT ID token requires id-token: write in order to c... | true |
3,003,019,484 | Not working with python3.13t | cornusandu | closed | [
"module: binaries",
"module: windows",
"module: python version"
] | 3 | NONE | ### 🐛 Describe the bug
# Operating System
* OS: Windows 11
* Laptop: Lenovo
* Python Build Flags: ``--disable-gil``
* Cuda: None (non-nvidia gpu)
* PyTorch Version: 2.6.0+cpu
* WSL: Ubuntu (Linux Subsystem for Windows)
# Issue
I can't seem to run any code that imports PyTorch using `python3.13t`. This really sucks, b... | true |
3,003,018,945 | [CUDA][NVTX] Move nvtx3 code from cmake/public/cuda.cmake to cmake/Dependencies.cmake | nWEIdia | closed | [
"open source",
"Merged",
"ciflow/binaries",
"ciflow/trunk",
"release notes: build",
"topic: bc breaking"
] | 5 | COLLABORATOR | Fixes [#147220]
Context: In the CUDA NVTX world, there are NVTX v2 and NVTX v3. As announced in CUDA release notes, e.g. [CUDA 12.8 Update 1]( https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html#deprecated-or-dropped-operating-systems) "`NVTX v2 is deprecated. To migrate to NVTX v3. Change your code f... | true |
3,002,987,644 | [export] Warn users when 0/1 specialization happens | justinchuby | closed | [
"oncall: pt2",
"oncall: export"
] | 6 | COLLABORATOR | It can be confusing for users when they specify an axis to be dynamic only to find it is specialized without knowing what went on. Would it be a good idea to emit a warning to suggest users change the example dim size to >1? This is usually happening when one wants a dynamic batch size and provides an example having ba... | true |
3,002,908,098 | Add OIDC permissions to linux-build workflow | zxiiro | open | [
"module: rocm",
"triaged",
"open source",
"ciflow/binaries",
"ciflow/trunk",
"topic: not user facing",
"ciflow/periodic",
"ciflow/nightly",
"ciflow/inductor",
"ciflow/inductor-perf-test-nightly",
"ciflow/inductor-perf-compare",
"ciflow/slow",
"ciflow/rocm",
"ciflow/xpu",
"ciflow/torchben... | 2 | COLLABORATOR | Update workflow to use OIDC authentication to access AWS resources rather than assuming the runner's default role. This is part of the multicloud effort to prepare jobs to support being run in non-AWS clouds where assumption of EC2 instance role cannot be used.
The JWT ID token requires `id-token: write` in order to... | true |
3,002,885,860 | [bazel] Fix aten generator directory path | jhance | open | [
"triaged",
"open source",
"topic: not user facing"
] | 3 | CONTRIBUTOR | The path we are passing to the aten directory is only correct in certain situations. If pytorch is an external repository, the path will need to be prefixed with external/pytorch. To make handling this as simple as possible, I used a sigil file from the directory to compute the path instead of hard coding it. For the s... | true |
3,002,876,059 | [BE] Consolidate PR labeling logic | janeyx99 | open | [
"module: bootcamp",
"triaged",
"better-engineering",
"actionable",
"module: devx"
] | 3 | CONTRIBUTOR | https://github.com/pytorch/test-infra/blob/main/torchci/lib/bot/autoLabelBot.ts#L37 and https://github.com/pytorch/pytorch/blob/main/.github/labeler.yml share similar logic and can be combined. I'm thinking https://github.com/pytorch/pytorch/blob/main/.github/labeler.yml is more easily searchable for PyTorch contributo... | true |
3,002,876,005 | [bazel] Fix unusual reference to cpuinfo workspace | jhance | open | [
"triaged",
"open source",
"topic: not user facing"
] | 3 | CONTRIBUTOR | It seems like this reference to cpuinfo is assuming that cpuinfo is a submodule of the project, which is not necessarily going to work when pytorch is pulled in as an external workspace.
Fix it to be a more traditional label using the @org_pytorch_cpuinfo external workspace.
Makes progress on https://github.com/p... | true |
3,002,863,377 | DISABLED test_builtin_score_mods_different_block_size_float16_score_mod5_BLOCK_SIZE3_cuda_float16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 1 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_different_block_size_float16_score_mod5_BLOCK_SIZE3_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/... | true |
3,002,863,104 | DISABLED test_builtin_score_mods_float32_score_mod3_cuda_float32 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 1 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_float32_score_mod3_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40722250090)... | true |
3,002,862,989 | DISABLED test_non_equal_head_dims_score_mod1_float32_head_dims1_cuda_float32 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 1 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_non_equal_head_dims_score_mod1_float32_head_dims1_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/... | true |
3,002,862,986 | DISABLED test_non_pow_2_headdim_head_dim_94_float16_cuda_float16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 1 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_non_pow_2_headdim_head_dim_94_float16_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40716009321)... | true |
3,002,862,770 | DISABLED test_builtin_score_mods_dynamic_float16_score_mask_mod2_cuda_float16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 1 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_dynamic_float16_score_mask_mod2_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs... | true |
3,002,862,658 | DISABLED test_non_equal_head_dims_score_mod4_bfloat16_head_dims0_cuda_bfloat16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 1 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_non_equal_head_dims_score_mod4_bfloat16_head_dims0_cuda_bfloat16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/run... | true |
3,002,862,564 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod5_BLOCK_SIZE3_cuda_float32 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_different_block_size_float32_score_mod5_BLOCK_SIZE3_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/... | true |
3,002,862,456 | DISABLED test_builtin_score_mods_float16_score_mod6_cuda_float16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 1 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_float16_score_mod6_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40722250090)... | true |
3,002,856,525 | Add automatic categorization for release notes: inductor (aoti) | janeyx99 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151569
* #151453
| true |
3,002,846,915 | [Experiment] Templaterize _weight_int4pack_mm_cuda | desertfire | open | [
"release notes: cuda",
"topic: not user facing",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151568
Summary: Demonstrate how to templaterize an eager op implementation to make it sharable between AtenTensor and SlimTensor | true |
3,002,827,924 | Add OIDC permissions to docs workflow | zxiiro | open | [
"triaged",
"open source",
"ciflow/trunk",
"topic: not user facing",
"ciflow/nightly"
] | 3 | COLLABORATOR | Update workflow to use OIDC authentication to access AWS resources rather than assuming the runner's default role. This is part of the multicloud effort to prepare jobs to support being run in non-AWS clouds where assumption of EC2 instance role cannot be used.
The JWT ID token requires `id-token: write` in order to... | true |
3,002,734,780 | [BE][Easy]: Normalize Dim typing in torch distributed | Skylion007 | closed | [
"oncall: distributed",
"open source",
"better-engineering",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 6 | COLLABORATOR | Improve typing using prims_common dtypes
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k | true |
3,002,693,852 | [BE][Easy]: Dedupe a TypeAlias in PrimsCommon | Skylion007 | closed | [
"open source",
"better-engineering",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | COLLABORATOR | Replaces a duplicate TypeAlias with a reference to the global constant for them | true |
3,002,691,412 | run_decompositions fails with torch.scan | xadupre | open | [
"oncall: pt2",
"oncall: export"
] | 0 | COLLABORATOR | ### 🐛 Describe the bug
``run_decompositions`` fails where a shape depends on the data.
```python
import torch
def dummy_loop(padded: torch.Tensor, pos: torch.Tensor):
copy = torch.zeros(padded.shape)
for i in range(pos.shape[0]):
p = pos[i]
copy[i, :p] = padded[i, :p]
return copy
def du... | true |
3,002,688,358 | Lift guard checking logic to AOTAutogradCache | jamesjwu | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151691
* __->__ #151563
This somewhat complicated PR does a few things:
- It separates out a lot of the guard checking logic into its own class, GuardedCache[T]
- It adds a new `check_guard_hit` lambda to FXGraphCache._lookup_graph, whi... | true |
3,002,686,128 | Remove libdevice ops in inductor | eellison | 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):
* #151598
* __->__ #151562
Now that we track dtypes during codegen, we can delete all these extra ops that worked around the problem by doing dispatch at lowering time.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @Xiaobing... | true |
3,002,543,811 | 2.6: vmap doesn't vectorize all args | Birch-san | open | [
"module: docs",
"triaged",
"module: vmap",
"module: functorch"
] | 3 | NONE | ### 🐛 Describe the bug
vmap unbinds batch dimension for my first argument `x`, but not for my subsequent argument `mask`.
how do I give a corresponding mask to each ensemble member?
I mean, strictly speaking for my use-case, my mask is the same for all ensemble members. if that worked I'd be happy too. but SDPA's ... | true |
3,002,506,008 | Add device agnostic support for distributed tests | Alokksinha00 | open | [
"oncall: distributed",
"triaged",
"open source",
"topic: not user facing",
"release notes: distributed (checkpoint)"
] | 2 | NONE | /_composable/test_replicate.py and /algorithm/ddp_comm_hooks are modified for generic device
1. create_pg() method from DistributedTestBase is used for process group creation wherever accelarator/cuda is used
2. instantiate_device_type_tests is imported and device is brought in respective tests
cc @H-Huang @awgu @... | true |
3,002,494,774 | SDPA doesn't document requirement for head dimension in masks | Birch-san | open | [
"triaged",
"module: sdpa"
] | 0 | NONE | ### 🐛 Describe the bug
I think there's a docs bug with SDPA.
it says that `attn_mask` doesn't require a head dimension, but my scripts only succeed if I provide a head dimension.
[SDPA docs](https://pytorch.org/docs/stable/generated/torch.nn.functional.scaled_dot_product_attention.html)
failing without head dime... | true |
3,002,482,792 | 2.6: SDPA disallows masked attention under vmap | Birch-san | open | [
"triaged",
"module: vmap",
"module: functorch",
"module: sdpa"
] | 1 | NONE | ### 🐛 Describe the bug
_note: I also ran into an SDPA docs bug https://github.com/pytorch/pytorch/issues/151559 whilst producing this repro._
_note: I also ran into a vmap dispatch bug https://github.com/pytorch/pytorch/issues/151561 whilst producing this repro._
SDPA gives us `RuntimeError: attn_bias: wrong shape... | true |
3,002,469,372 | [autodeps2] Replace third-party/pyqt5 with third-party/pypi/pyqt5 | kkolur76 | open | [
"fb-exported",
"ciflow/trunk",
"topic: not user facing"
] | 9 | CONTRIBUTOR | Summary: These are duplicate libraries and this is blocking Autodeps2 rollout. Title.
Test Plan: CI
Differential Revision: D73184155
| true |
3,002,441,409 | Compatibility Issues Between DCP, LoRA, and Hugging Face Models | LizzzMax | open | [
"oncall: distributed",
"triaged"
] | 2 | NONE |
### 🐛 Describe the bug
I've encountered two significant issues when using PyTorch's Distributed Checkpoint (DCP) with LoRA and Hugging Face models:
Here is my code, which is modified from [here](https://pytorch.org/tutorials/recipes/distributed_checkpoint_recipe.html)
```
import os
import torch
import torch.distrib... | true |
3,002,429,444 | [Inductor] Convolution auto-generation through Triton backend | CallMeRush | open | [
"feature",
"triaged",
"oncall: pt2",
"module: inductor"
] | 0 | NONE | ### 🚀 The feature, motivation and pitch
Currently, it seems that Triton isn't available as the convolution backend.
I have been trying to AOT compile ResNet18 through torch._inductor, by setting both max_autotune_gemm_backends and max_autotune_conv_backends to "TRITON". But I get a NoValidChoicesError.
I think it ... | true |
3,002,398,783 | Documentation Clarification Needed for Clamping of Scale Coefficient in clip_grads_with_norm_ | qiaoqiaoLF | open | [
"module: docs",
"module: nn",
"triaged",
"module: norms and normalization"
] | 0 | NONE | ### 📚 The doc issue
In the current documentation for `torch.nn.utils.clip_grads_with_norm_`, the formula for the scale coefficient is as follows:
$$
\text{grad} = \text{grad} \times \frac{\text{maxnorm}}{\text{totalnorm} + 1e-6}
$$
However, in practical usage, it appears that the scale coefficient is clamped to a m... | true |
3,002,356,399 | Fix normalize mypy warning with tuple dim | zeshengzong | open | [
"triaged",
"open source",
"topic: not user facing",
"suppress-bc-linter"
] | 6 | CONTRIBUTOR | Fixes #70100
## Test Result
```python
# cat ../normal.py
import torch
import torch.nn.functional as F
F.normalize(torch.rand(2,3,4), dim=(0,1))
```
### Before
```bash
mypy ../normal.py
../normal.py:4:36: error: Argument "dim" to "normalize" has incompatible type "tuple[int, int]"; expected "int" ... | true |
3,002,349,451 | fp8 dtype support for SparseSemiStructuredTensor | tlogn | open | [
"module: sparse",
"triaged",
"enhancement",
"module: float8"
] | 1 | NONE | ### 🚀 The feature, motivation and pitch
Hi, pytorch team! Do you have any plan to support fp8 dtype for SparseSemiStructuredTensor ? Currently the available dtypes are [int8, fp16, bf16, fp32]. Cutlass now provide examples on sparse fp8 gemm and vllm team has made use of it. I also want to do some experiment with spa... | true |
3,002,282,500 | [standalone_compile] support multiple returns | zou3519 | closed | [
"Merged",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151502
* __->__ #151551
* #151501
We were only returning the first one. There's an edge case on what to do
if the original function returns a single Tensor. capture(f) returns a
function that returns a tuple of one Tensor in this case and w... | true |
3,002,282,214 | How does aarch64 cpu wheel keep rpath instead of runpath? | dilililiwhy | closed | [
"module: build",
"triaged"
] | 3 | CONTRIBUTOR | ### 🐛 Describe the bug
As no disable-new-dtags and patchelf command are found in the repo, how does aarch64 cpu wheel of keep rpath instead of runpath(in default)? Will the RPATH cause problem?
in setup.py
```
def make_relative_rpath_args(path):
if IS_DARWIN:
return ["-Wl,-rpath,@loader_path/... | true |
3,002,193,228 | multiprocessing.pool.MaybeEncodingError Reason: 'RuntimeError('_share_fd_: only available on CPU')' | jingxu10 | open | [
"module: multiprocessing",
"triaged",
"module: xpu"
] | 2 | COLLABORATOR | ### 🐛 Describe the bug
The following code crashes on XPU device, but works well on CPU and CUDA.
```python
import torch
def func2(args):
input = torch.rand(1,1,2048)
input = input.to('xpu')
return input+input
def run__pool():
from multiprocessing import Pool
cpu_worker_num = 3
process_args = [(1, 1), (... | true |
3,002,183,373 | Fix inductor test_linear_with_in_out_buffer | Flamefire | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 21 | COLLABORATOR | Without MKL there is only 1 epilogue, not 2 because `addmm` is used instead of `packed_linear/_mkl_linear`.
This fails first at `TestSelectAlgorithmCPU.test_linear_with_in_out_buffer_batch_size_8_in_features_3_in_features2_192_image_size_224_out_features_64_bias_True_cpu_float32`
Instead of skipping the whole test ... | true |
3,001,992,210 | Update OpenBLAS commit | aditew01 | open | [
"triaged",
"open source",
"module: arm",
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"ci-no-td"
] | 10 | COLLABORATOR | Motivation: Update OpenBLAS and change build script to enable SBGEMM kernels . Update pytorch `jammy` builds for aarch64 to use `install_openblas.sh` instead of `conda_install`
Link to full [TorchInductor Performance Dashboard AArch64](https://hud.pytorch.org/benchmark/compilers?dashboard=torchinductor&startTime=We... | true |
3,001,983,671 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod4_BLOCK_SIZE_128_cuda_float32 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_different_block_size_float32_score_mod4_BLOCK_SIZE_128_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.c... | true |
3,001,983,471 | DISABLED test_non_pow_2_headdim_head_dim_121_float16_cuda_float16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_non_pow_2_headdim_head_dim_121_float16_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40702973314... | true |
3,001,983,371 | DISABLED test_non_equal_head_dims_score_mod2_float16_head_dims0_cuda_float16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_non_equal_head_dims_score_mod2_float16_head_dims0_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/... | true |
3,001,983,288 | DISABLED test_njt_causal_float32_cuda_float32 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_njt_causal_float32_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40701904903).
Over the past 3 ... | true |
3,001,983,166 | DISABLED test_builtin_score_mods_float16_score_mod5_cuda_float16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_float16_score_mod5_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40701904903)... | true |
3,001,983,022 | DISABLED test_remove_noop_view_dtype_cuda (__main__.GPUTests) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"module: fx"
] | 7 | NONE | Platforms: linux, rocm, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_remove_noop_view_dtype_cuda&suite=GPUTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40701077936).
Over the past 3 h... | true |
3,001,982,863 | DISABLED test_remove_noop_view_dtype_cpu (__main__.CpuTests) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"module: fx"
] | 8 | NONE | Platforms: asan, linux, mac, macos, rocm, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_remove_noop_view_dtype_cpu&suite=CpuTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40698419508).
Ov... | true |
3,001,982,682 | DISABLED test_builtin_score_mods_different_block_size_float16_score_mod3_BLOCK_SIZE3_cuda_float16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_different_block_size_float16_score_mod3_BLOCK_SIZE3_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/... | true |
3,001,982,586 | DISABLED test_builtin_score_mods_float16_score_mod1_cuda_float16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_float16_score_mod1_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40701904903)... | true |
3,001,982,414 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod6_BLOCK_SIZE2_cuda_float32 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_different_block_size_float32_score_mod6_BLOCK_SIZE2_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/... | true |
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