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 |
|---|---|---|---|---|---|---|---|---|
2,794,151,479 | unexpected behaviour of `torch.chunk` | nitaifingerhut | closed | [] | 1 | NONE | ### 🐛 Describe the bug
Let the following code
```py
x = torch.rand(4, 3, 128, 128)
chunks_list = torch.chunk(x, 3, 0)
```
The resulting `chunks_list` is of length 2, each element with shape (2, 3, 128, 128).
According to the [docs](https://pytorch.org/docs/main/generated/torch.chunk.html):
_"If the tensor size along... | true |
2,794,146,255 | [pytorch/ncclx] Remove Alltoallv specialization for PTD all_to_all | pavanbalaji | closed | [
"fb-exported",
"Stale"
] | 5 | CONTRIBUTOR | Summary:
PTD all_to_all uses a list of tensors, while ncclAllToAllv (provided
by NCCLX and RCCL) assumes that a single contiguous buffer is used.
These are fundamentally mismatched. The list of tensors might not be
contiguous or even ordered (buffer addresses might not be in
increasing order).
This patch removes the ... | true |
2,794,142,116 | Made partitioning more(?) deterministic | Chillee | open | [
"open source",
"Stale",
"ciflow/inductor"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145024
* #145059
* #145029
| true |
2,794,137,174 | [MPSInductor] Add `Worker.current_device` method | malfet | closed | [
"Merged",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145023
That just returns 0, as multi-gpu is not currently supported by MPS
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @mu... | true |
2,794,101,148 | [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 |
2,794,082,086 | [CD] Annotate linux/arm64 cuda wheels with consistent nvidia dependencies | tmm1 | closed | [
"triaged",
"open source",
"Merged",
"topic: not user facing",
"ciflow/binaries_wheel"
] | 19 | CONTRIBUTOR | This resolves issues installing torch nightly wheels into a `uv sync`-generated `.venv`
The root cause is that the x64 and arm64 cuda nightly wheels have inconsistent metadata. This can be seen comparing `generated-linux-aarch64-binary-manywheel-nightly.yml` and `generated-linux-binary-manywheel-nightly.yml`
`uv`... | true |
2,794,077,447 | Prevent legacy_load when weights_only=True (correctly) | mikaylagawarecki | closed | [
"Merged",
"ciflow/trunk",
"release notes: python_frontend",
"topic: improvements",
"ciflow/inductor"
] | 11 | CONTRIBUTOR | Only prevent `legacy_load` (.tar format removed in https://github.com/pytorch/pytorch/pull/713), not the whole of `_legacy_load` (.tar format + _use_new_zipfile_serialization=False)
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145020
Differential Revision: [D68301405](https... | true |
2,794,055,572 | DISABLED test_sparse_add_cuda_float64 (__main__.TestSparseCSRCUDA) | pytorch-bot[bot] | open | [
"module: sparse",
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped"
] | 17 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_sparse_add_cuda_float64&suite=TestSparseCSRCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35738066324).
Over the past 3 hours, it has... | true |
2,794,055,554 | DISABLED test_sparse_add_cuda_float64 (__main__.TestSparseCSRCUDA) | pytorch-bot[bot] | closed | [
"module: sparse",
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped"
] | 2 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_sparse_add_cuda_float64&suite=TestSparseCSRCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35738066324).
Over the past 3 hours, it has... | true |
2,794,055,530 | DISABLED test_equivalent_template_code (__main__.BenchmarkMultiTemplateFusionCudaTest) | pytorch-bot[bot] | open | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 18 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_equivalent_template_code&suite=BenchmarkMultiTemplateFusionCudaTest&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35738064722).
Over the ... | true |
2,794,055,499 | DISABLED test_equivalent_template_code (__main__.BenchmarkMultiTemplateFusionCudaTest) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 1 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_equivalent_template_code&suite=BenchmarkMultiTemplateFusionCudaTest&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35738064722).
Over the ... | true |
2,793,971,487 | [BE] Remove conda from scripts and build files Part 2 | atalman | closed | [
"Merged",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Continuation of https://github.com/pytorch/pytorch/pull/144870
Remove conda logic from scripts:
1. Remove conda build from triton build script
2. Remove conda checks from setup.py
3. Remove conda from release scripts
4. Script read_conda_versions.sh is not used (checked via git grep)
Related to: https://git... | true |
2,793,922,080 | Add ATen functions in native_functions.yaml to torch_in_graph_functions list automatically | yanboliang | open | [
"triaged",
"module: dynamo"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
Currently, whenever a new native function is added, we must manually add an entry to `torch/_dynamo/trace_rules.torch_c_binding_in_graph_functions` to ensure that Dynamo includes it in the FX graph during tracing. If this step is missed, the pull request introducing the native function may enco... | true |
2,793,921,912 | easy: Fix missing tab in test/dynamo/test_compile.py | c00w | closed | [
"Merged",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145013
It turns out that if you request a merge on a pytorch PR, and then push a fix for a bad rebase, and the test is
relativley new, the merge will go through with the previous commit and not notice the test break.
Explicitl... | true |
2,793,905,843 | upgrade to sccache 0.9.1 - dealing with nvcc -E correctly | wdvr | closed | [
"Merged",
"ciflow/binaries",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 9 | CONTRIBUTOR | sccache 0.9.1 should be dealing with `nvcc -E` correctly
see https://github.com/mozilla/sccache/pull/2300
If this works as expected, we can get rid of this code:
https://github.com/pytorch/pytorch/pull/142813/files
cc @malfet | true |
2,793,902,615 | composability test cleanup | wconstab | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"merging"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145125
* #144834
* #145099
* __->__ #145011
* #145010
minor changes to test public PP api instead of internal/private one and
also save a few lines of code for microbatch splitting in the process
cc @H-Huang @awgu @kwen2501 @wanchaol @fegi... | true |
2,793,872,893 | [Pipelining] Relax scale_grads assert | wconstab | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144834
* #145099
* #145011
* __->__ #145010
The assert felt morally valid- if no gradients are scaled, then something
is definitely wrong with the setup. In one instance, PP +
optimizer-in-backward (in torchtitan) resulted in grad=None aft... | true |
2,793,854,711 | Ensuring Infiniband is setup for torch run trainings and debugging it | ArkashJ | closed | [] | 2 | NONE | >
> Incase of infiniband issues, here's steps to make sure that IP over InfiniBand (IPoIB) is set up correctly:
> 1) Verify IPoIB Devices:
> `/etc/init.d/openibd status`
> Ensure that the devices are correctly listed (shows IPoIB devices)
>
> 2) Check Permissions: Make sure you have the required root permissions for... | true |
2,793,853,777 | [Pipelining] Relax scale_grads assert | wconstab | closed | [
"oncall: distributed"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* (to be filled)
The assert is morally valid- if no gradients are scaled, then something
is definitely wrong with the setup. In one instance, PP +
optimizer-in-backward (in torchtitan) resulted in grad=None after
running .backward() and befor... | true |
2,793,848,519 | [Pipelining] Relax scale_grads assert | wconstab | closed | [
"oncall: distributed"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* (to be filled)
The assert is morally valid- if no gradients are scaled, then something
is definitely wrong with the setup. In one instance, PP +
optimizer-in-backward (in torchtitan) resulted in grad=None after
running .backward() and befor... | true |
2,793,848,089 | [Pipelining] Improve shape inference debug logging | wconstab | closed | [
"oncall: distributed"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* (to be filled)
Remove log that just said "running forward" since that is not so useful
in itself, replace with somewhat equivalent log that reports both input
and output shapes after running forward.
Note: enabled by `TORCH_LOGS=+pp`
Examp... | true |
2,793,830,121 | DISABLED test_cow_input_masked_argmin_cuda_float32 (__main__.TestCompositeComplianceCUDA) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"module: unknown"
] | 2 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_cow_input_masked_argmin_cuda_float32&suite=TestCompositeComplianceCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35727153944).
Over t... | true |
2,793,830,107 | DISABLED test_list_clearing_dynamic_shapes_cuda (__main__.DynamicShapesGPUTests) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 22 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_list_clearing_dynamic_shapes_cuda&suite=DynamicShapesGPUTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35728356843).
Over the past 3... | true |
2,793,829,945 | DISABLED test_aoti_eager_support_str_dynamic_shapes_cuda (__main__.DynamicShapesCodegenGPUTests) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 23 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_aoti_eager_support_str_dynamic_shapes_cuda&suite=DynamicShapesCodegenGPUTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35728355868).
... | true |
2,793,829,872 | DISABLED test_profiler_mark_wrapper_call_dynamic_shapes_cuda (__main__.DynamicShapesGPUTests) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 21 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_profiler_mark_wrapper_call_dynamic_shapes_cuda&suite=DynamicShapesGPUTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35732496276).
Ov... | true |
2,793,829,194 | ARM GITHUB ACTIONS RUNNERS | johnnynunez | closed | [] | 1 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
"""Hey everyone - we shipped linux arm64 runners today: """
https://github.blog/changelog/2025-01-16-linux-arm64-hosted-runners-now-available-for-free-in-public-repositories-public-preview/
### Alternatives
_No response_
### Additional context
_No response_ | true |
2,793,824,597 | Upgrade to DLPack 1.0. | ysiraichi | open | [
"open source",
"module: dlpack",
"release notes: python_frontend"
] | 8 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150691
* #150218
* #150217
* #150216
* __->__ #145000
This PR makes the necessary changes in order to upgrade PyTorch DLPack
support to version 1.0. In summary, we add support for the following:
- Support both `DLManagedTensor` and `DL... | true |
2,793,811,702 | [dynamo/export] call local_scalar_dense when full() value is scalar tensor | pianpwk | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"module: dynamo",
"ciflow/inductor",
"release notes: export"
] | 6 | CONTRIBUTOR | Fixes https://github.com/pytorch/pytorch/issues/144907
```
class Foo(torch.nn.Module):
def forward(self, val):
return torch.full((80, 2), val, dtype=torch.float32)
export(Foo(), args=(torch.tensor(1),))
```
When we have a `torch.full` call like above, where the fil... | true |
2,793,780,947 | Check bounds for index select to match CPU behavior | jhavukainen | closed | [
"open source",
"release notes: mps",
"ciflow/mps"
] | 1 | COLLABORATOR | Fixes #144824
Checks that there is no element in the index tensor is less than zero or more than number of elements in available on the axis. MPSGraph is not performing this check but instead silently returns zeros for out of bounds elements which differs from expectations set by the CPU behavior. | true |
2,793,779,494 | [inductor] fix TORCH_LOGS="benchmarking" | ColinPeppler | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Saw this error with TORCH_LOGS="benchmarking"
```
File "/data/users/colinpeppler/pytorch/torch/_inductor/runtime/benchmarking.py", line 37, in wrapper
result = fn(*args, **kwargs)
File "/data/users/colinpeppler/pytorch/torch/_inductor/runtime/benchmarking.py", line 66, in wrapper
return fn(self, *args,... | true |
2,793,701,762 | [Pipelining] Relax scale_grads assert | wconstab | closed | [
"oncall: distributed"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* (to be filled)
The assert is morally valid- if no gradients are scaled, then something
is definitely wrong with the setup. In one instance, PP +
optimizer-in-backward (in torchtitan) resulted in grad=None after
running .backward() and befor... | true |
2,793,701,588 | [Pipelining] Improve shape inference debug logging | wconstab | closed | [
"oncall: distributed"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* (to be filled)
Remove log that just said "running forward" since that is not so useful
in itself, replace with somewhat equivalent log that reports both input
and output shapes after running forward.
Note: enabled by `TORCH_LOGS=+pp`
Examp... | true |
2,793,673,471 | Use `typing.IO[bytes]` instead of `io.BytesIO` in annotations | randolf-scholz | closed | [
"oncall: distributed",
"module: cpu",
"open source",
"module: amp (automated mixed precision)",
"Merged",
"ciflow/trunk",
"release notes: quantization",
"fx",
"module: inductor",
"module: dynamo",
"release notes: export",
"suppress-bc-linter"
] | 16 | CONTRIBUTOR | Fixes #144976
Using appoach ① `IO[bytes]`, but could also try with a protocol.
## Notes:
- moved `torch.serialization.FILE_LIKE` to `torch.types.FileLike`
- Use `FileLike` annotation where it makes sense
- made sure those functions also support `os.PathLike`
- Replaced `isinstance(x, io.BytesIO)` with `isin... | true |
2,793,650,822 | Prevent _legacy_load with weights_only=True | pytorchbot | closed | [
"open source",
"release notes: quantization"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144914
| true |
2,793,627,103 | Enable fp16 linear layers in PyTorch via ACL | renato-arantes | open | [
"module: cpu",
"triaged",
"open source",
"module: arm",
"Merged",
"Reverted",
"Stale",
"ciflow/trunk",
"release notes: linalg_frontend",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 14 | CONTRIBUTOR | This pull request aims to enable the use of linear layers with the fp16 data type through the ACL.
On a Graviton3 instance running with 16 threads, `torch.randn(2048, 4096, dtype=torch.half)` will take 50+% less time to complete compared with `torch.randn(2048, 4096, dtype=torch.float32)`.
cc @jgong5 @mingfeima @... | true |
2,793,571,525 | [torchbench] stable_diffusion_unet compilation failure | IvanKobzarev | open | [
"triaged",
"oncall: pt2",
"oncall: export",
"module: aotinductor",
"pt2-pass-rate-regression"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
```
python benchmarks/dynamo/torchbench.py --only stable_diffusion_unet --performance --cold-start-latency --inference --bfloat16 --export-aot-inductor --disable-cudagraphs --device cuda
```
```
cuda eval stable_diffusion_unet
ERROR:common:Backend dynamo failed in warmup()
Traceb... | true |
2,793,570,997 | DO_NOT_MERGE test for pytorchmergebot | wdvr | closed | [
"topic: not user facing"
] | 6 | CONTRIBUTOR | DO_NOT_MERGE test for pytorchmergebot | true |
2,793,533,135 | [torchbench] Missing meta function for aten::_cudnn_rnn_flatten_weight | IvanKobzarev | closed | [
"triaged",
"oncall: pt2",
"pt2-pass-rate-regression"
] | 3 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
Torchbench for export-aot-inductor for tts_angular model fails due to missing Meta fn.
```
python benchmarks/dynamo/torchbench.py --only tts_angular --accuracy --no-translation-validation --inference --bfloat16 --export-aot-inductor --disable-cudagraphs --device cuda
```
```
No... | true |
2,793,492,932 | DISABLED test_allow_implicit_sharing (__main__.TestQuantizePT2E) | pytorch-bot[bot] | open | [
"oncall: quantization",
"triaged",
"module: flaky-tests",
"skipped"
] | 5 | NONE | Platforms: mac, macos, rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_allow_implicit_sharing&suite=TestQuantizePT2E&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35717971181).
Over the past 3 h... | true |
2,793,483,070 | Fix `pt2-bug-report.yml` formatting | malfet | closed | [
"Merged",
"topic: not user facing"
] | 3 | CONTRIBUTOR | This is a 2nd regression caused by https://github.com/pytorch/pytorch/pull/144574
Test plan: `python3 -c "import yaml; foo=yaml.safe_load(open('pt2-bug-report.yml'));print(foo['body'][0])"`
Before it printed
```
% python3 -c "import yaml; foo=yaml.safe_load(open('pt2-bug-report.yml'));print(foo['body'][0])"
{'ty... | true |
2,793,446,303 | [WIP] Add pre-allgather version for context parallelism | fegin | closed | [
"oncall: distributed",
"Stale",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144986
cc @H-Huang @awgu @kwen2501 @wanchaol @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,793,428,042 | Introduce new template heuristic for triton autotune configs | jataylo | closed | [
"open source",
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ciflow/rocm",
"ci-no-td",
"ciflow/inductor-rocm",
"ciflow/inductor-periodic"
] | 49 | COLLABORATOR | Initial PR to refactor bulkiness of mm_common to allow for better device-specific specialisation e.g. in https://github.com/pytorch/pytorch/pull/143286 we require large conditionalisation to get ROCm specific optimisations in.
This PR introduces a new file `torch/_inductor/template_heuristics.py` which implements d... | true |
2,793,404,250 | Document decoupled_weight_decay for Adam for consistency with N/RAdam | janeyx99 | closed | [
"Merged",
"ciflow/trunk",
"topic: docs",
"release notes: optim"
] | 6 | CONTRIBUTOR | Followup from #144972 and #143710
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144984
| true |
2,793,384,511 | Change how units are printed in Memory Viz | hjmeta | open | [
"triaged",
"open source",
"fb-exported",
"Stale",
"release notes: visualization"
] | 9 | NONE | Summary:
In Pytorch Memory Viz tool, Memory units are printed as GiB rather than GB (Eg: Total memory used after allocation: 11.9GiB (12763436160 bytes)).
This caused confusion because in other charts like Active Memory Timeline, the Y axis of data is in GBs.
Memory Capacity of machines is also adverised in GBs, eg: A1... | true |
2,793,366,607 | [compiled autograd] It would be nice if the compiiled autograd graph was actually runnable | zou3519 | open | [
"triaged",
"oncall: pt2",
"module: compiled autograd"
] | 0 | CONTRIBUTOR | It won't be after the stack in https://github.com/pytorch/pytorch/pull/143296
cc @chauhang @penguinwu @xmfan @yf225 | true |
2,793,354,876 | [MPSInductor] More is_dtype_supported gating | 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):
* __->__ #144981
* #144971
This makes `GPUTest.test_scalar_cpu_tensor_arg_mps` pass
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muc... | true |
2,793,339,558 | [inductor] Fix for pattern file contains 'getitem' fails during impor… | kareemshaik80 | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 25 | CONTRIBUTOR | …t of the pattern module
For example any pattern module that has the following pattern generated, fails to import because
the name getitem undefined.
native_dropout_default = CallFunction(aten.native_dropout.default, div_Tensor_1, KeywordArg('dropout_p'), True, _users=2)
getitem = CallFunction(getitem, ... | true |
2,793,331,478 | [WIP] Dynamo trace through UserFnVar arg | IvanKobzarev | closed | [
"Stale",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144979
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,793,327,260 | Update ExecuTorch Pin | mergennachin | closed | [
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | - **Update scipy, numba, pandas, numpy pins in CI**
- **Update executorch pin**
| true |
2,793,322,587 | [test] fix unit test | c-p-i-o | open | [
"oncall: distributed",
"open source",
"Stale",
"topic: not user facing",
"release notes: distributed (checkpoint)"
] | 2 | CONTRIBUTOR | Summary:
Fixes #143994
Test Plan:
github unit tests for AMD pass
Fixes #143994
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @LucasLLC @MeetVadakkanchery @mhorowitz @pradeepfn @ekr0 | true |
2,793,304,625 | Avoid `io.BytesIO` in function argument annotations. | randolf-scholz | closed | [
"module: typing",
"oncall: pt2",
"oncall: export"
] | 1 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
This causes typing errors for library users, for example:
```python
from tempfile import TemporaryFile
import torch # v2.5.1
with TemporaryFile() as file:
model = torch.nn.Linear(3, 3)
exported_model = torch.export.export(model, args=(torch.randn(3),))
# "Buffere... | true |
2,793,285,155 | Update scipy, numba, pandas, numpy pins in CI | mergennachin | closed | [
"Stale",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | ### Summary
Test with the following configuration
For python<3.10
- numba 0.58.1, numpy 1.26.2, pandas 2.0.3, scipy 1.12.0, scikit-image 0.22.0
For python>=3.10
- numba 0.60.0, numpy 2.0.2, pandas 2.2.3, scipy 1.13.1, scikit-image 0.24.0
### Test Plan
- Tried locally with various conda environm... | true |
2,793,278,267 | Add option to limit number of SMs used by matmul kernels | lw | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"release notes: cuda",
"topic: performance",
"module: dynamo",
"ciflow/inductor",
"ci-no-td"
] | 18 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144974
Newer matmul kernels, e.g. those targeting Hopper GPUs, sometime use a "persistent" schedule which consists in launching as many CUDA blocks as there are SMs on the GPU, with each such block then working on multiple output til... | true |
2,793,274,218 | Add flop formula for _scaled_mm | lw | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/rocm"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144973
This will make it work correctly with the partitioner's AutoAC | true |
2,793,256,064 | Fix loading older state_dict into AdamW after refactor | janeyx99 | closed | [
"Merged",
"ciflow/trunk",
"topic: bug fixes",
"release notes: optim"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144972
| true |
2,793,240,677 | [BE] Move `is_device_supported` to helper function | malfet | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144981
* __->__ #144971
And extend `test_inf` to check half (explicitly instead of check_lowp) and bfloat16
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf2... | true |
2,793,165,182 | [bug report template] pt2 bug report is disabled | shaoyuyoung | closed | [
"high priority",
"oncall: pt2"
] | 3 | CONTRIBUTOR | ### 🐛 Describe the bug
Currently, pt2 bug report is disabled.
Previously, if using pt2 bug report, the issue will be automatically labeled "oncall: pt2"
### Versions
None
cc @ezyang @gchanan @zou3519 @kadeng @msaroufim @chauh... | true |
2,793,095,740 | Support something similar to export dynamic dims for torch.compile with fullgraph=True | ezyang | open | [
"triaged",
"oncall: pt2",
"module: dynamic shapes"
] | 1 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
In export, instead of using mark_dynamic on input Tensors, you can directly specify which inputs are dynamic or not
```
dynamic_shapes = (({0: Dim("dim")}, None, None, None),)
torch.export.export(
Slice(),
inp,
dynamic_shapes... | true |
2,793,022,768 | Improve cleanup of cancelled jobs on s390x for tests too | AlekseiNikiforovIBM | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/s390"
] | 3 | COLLABORATOR | Follow up to https://github.com/pytorch/pytorch/pull/144149 | true |
2,792,940,204 | [XPU] Nightly binary builds for XPU Linux and Windows are failing since 01.11.2025 | atalman | closed | [
"module: binaries",
"triaged",
"module: xpu"
] | 7 | CONTRIBUTOR | ### 🐛 Describe the bug
CD XPU build nightly failures since 01.11.2025
Linux XPU:
https://github.com/pytorch/pytorch/actions/runs/12722381963/job/35468425478
Windows XPU:
https://github.com/pytorch/pytorch/actions/runs/12722382018/job/35469528419
Linux failure log:
```
2025-01-11T10:43:02.3892539Z [778/780] Buildi... | true |
2,792,931,947 | TORCH_PYTHON_API contains ABI breaking changes in same version 2.6.0a0 | akshaver | closed | [
"module: binaries",
"module: cpp",
"module: abi",
"triaged"
] | 11 | NONE | ### 🐛 Describe the bug
The function signature THPVariable_Wrap changes between versions with the same major.minor.alpha. Specifically
* 2.6.0a0+ecf3bae40a -- TORCH_PYTHON_API PyObject\* THPVariable_Wrap(at::TensorBase var);
* 2.6.0a0+df5bbc09d1 -- TORCH_PYTHON_API PyObject\* THPVariable_Wrap(const at::TensorBase& va... | true |
2,792,872,130 | RuntimeError "global alloc not supported yet" when using TorchScript optimization. | LucaBonfiglioli | open | [
"high priority",
"triage review",
"oncall: jit"
] | 2 | NONE | ### 🐛 Describe the bug
Calling the `forward` method on TorchScript models can, under some specific conditions, raise a `RuntimeError` with message: "Global alloc not supported yet.".
I think this is linked to an old issue: https://github.com/pytorch/pytorch/issues/69078, however, I managed to consistently reproduce ... | true |
2,792,692,070 | Flakybot fails to fetch test ownership information | malfet | closed | [
"triaged",
"module: regression",
"module: devx"
] | 5 | CONTRIBUTOR | ### 🐛 Describe the bug
See https://github.com/pytorch/pytorch/issues/144900 for example that were reported about test_nestedtensor.py, but it failed to apply `module: nestedtensor` label despite clear owneship.
Same with https://github.com/pytorch/pytorch/issues/144963 - why doens't it have `oncall: quantization` lab... | true |
2,792,663,145 | DISABLED test_run_decompositions_same_handle_id (__main__.TestNumericDebugger) | pytorch-bot[bot] | open | [
"oncall: quantization",
"triaged",
"module: flaky-tests",
"skipped"
] | 5 | NONE | Platforms: mac, macos, rocm, linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_run_decompositions_same_handle_id&suite=TestNumericDebugger&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/356985161... | true |
2,792,608,409 | [BE] Add missing throw of `std::runtime_error` in scrc/cuda/utils.cpp | rec | closed | [
"open source",
"better-engineering",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 5 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144962
| true |
2,792,537,803 | CUDAGraph outputs will be overwritten by a subsequent run? | wbigat | open | [
"module: cuda",
"triaged",
"module: cuda graphs",
"oncall: pt2"
] | 8 | CONTRIBUTOR | ### 🐛 Describe the bug
Hello, I have some doubts about the following cudagraph case.
I submitted another issue, #144386
```
import torch
def test_cuda_graph_output_overwritten():
class MLP(torch.nn.Module):
def __init__(self):
super().__init__()
self.ln = torch.nn.LayerNorm(6)
... | true |
2,792,415,398 | Memory-efficient attention is not selected if inputs's ndim != 4 | gau-nernst | open | [
"triaged",
"module: sdpa"
] | 1 | NONE | ### 🐛 Describe the bug
```python
from contextlib import nullcontext
import torch
import torch.nn.functional as F
from torch.nn.attention import SDPBackend, sdpa_kernel
# shape used in FLUX's VAE
seq_len = 128 * 128
head_dim = 512
# ctx = sdpa_kernel([SDPBackend.EFFICIENT_ATTENTION])
ctx = nullcontext()
torch.cuda... | true |
2,792,415,036 | Introduce a new API isAcceleratorExcluded | guangyey | closed | [
"open source",
"Merged",
"ciflow/trunk",
"release notes: cpp",
"module: accelerator"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #143783
* __->__ #144959
cc @albanD @EikanWang | true |
2,792,335,389 | Let `tensor_a.new_tensor()` be on `tensor_a.device` by default | oraluben | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: python_frontend",
"topic: bc breaking",
"module: python frontend"
] | 8 | CONTRIBUTOR | Fixes #144957
Closes #73838 cc @albanD @ezyang
Currently, `tensor_a.new_tensor()` will return a on-cpu tensor no matter where is `tensor_a`. This differs from the document and is a side-effect of https://github.com/pytorch/pytorch/pull/41984.
See #144957 how current logic breaks dynamo.
This PR restore the d... | true |
2,792,275,105 | Inconsistency of `tensor.new_tensor(data)` between eager and dynamo | oraluben | closed | [
"triaged",
"module: numpy",
"oncall: pt2",
"module: dynamo"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
```python
import torch
import numpy
from contextlib import AbstractContextManager
c = torch.compile
dev = 'cuda:0'
class expected(AbstractContextManager):
def __init__(self, expected_exception_cls=None, subclass=False):
self.expected = expected_exception_cls
self.accept_... | true |
2,792,201,575 | [Dynamo] Allow `format()` to handle int | shink | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo"
] | 14 | CONTRIBUTOR | Fixes #144830
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,792,186,646 | ModuleNotFoundError: No module named 'torch.privateuseone' | xiangxinhello | open | [
"module: cpp",
"triaged",
"module: PrivateUse1"
] | 24 | NONE | ### 🐛 Describe the bug
When I add Backend::PrivateUse1, it throws an error ModuleNotFoundError: No module named 'torch.privateuseone'
import torch
a = torch.ones((3,3), device="privateuseone")
std::vector<std::pair<Backend, ScalarType>> all_declared_types() {
std::vector<std::pair<Backend, ScalarType>> ret;
//... | true |
2,792,117,280 | [torch.export] _insert_copy_for_mutations can't generate proper copy nodes for pure inplace ops | GodHforever | open | [
"oncall: pt2",
"oncall: export"
] | 3 | NONE | ### 🐛 Describe the bug
I am using the simplest `nn.Relu(inpleace=True)` to make a call to torch.export, and the following error occurs:
```
RuntimeError: Could not find input in either buffer or input nodes
```
My test code is as follows:
```
def ori_test():
x = torch.rand(2,3)
m = torch.nn.ReLU(inplace=True... | true |
2,792,112,790 | [Inductor UT] Refactor FlexAttention UT and add CPU tests | jianan-gu | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/periodic",
"module: inductor",
"ciflow/inductor",
"no-stale"
] | 11 | CONTRIBUTOR | This PR extends and refines all rest UTs for CPU and more devices in `test/inductor/test_flex_attention.py` and `test/inductor/test_flex_decoding.py`, as a follow-up to https://github.com/pytorch/pytorch/pull/141453
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @we... | true |
2,791,986,137 | Fuzzer Improvements | exclamaforte | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Added more tests and cleaned up.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov | true |
2,791,873,360 | Use torch with statement in torch distributed module | guangyey | closed | [
"oncall: distributed",
"open source",
"Merged",
"ciflow/trunk",
"release notes: distributed (ddp)",
"topic: not user facing"
] | 4 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144951
# Motivation
In https://github.com/pytorch/pytorch/pull/137678, we help use the device-agnostic APIs to generalize distributed module. As this [comment](https://github.com/pytorch/pytorch/pull/137678#discussion_r1828645683) ... | true |
2,791,853,174 | [Intel CPU] Fix issue #143484. | RanTao123 | closed | [
"triaged",
"open source",
"Stale",
"topic: not user facing"
] | 4 | CONTRIBUTOR | Fix issue in https://github.com/pytorch/pytorch/issues/143484.
The first dimension of w_ih and w_hh must be greater than or equal to 3 in order to be chunked into 3 parts. | true |
2,791,837,624 | DISABLED test_config_option_dont_assume_alignment_cudagraphs_dynamic_shapes_cuda (__main__.DynamicShapesGPUTests) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 6 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_config_option_dont_assume_alignment_cudagraphs_dynamic_shapes_cuda&suite=DynamicShapesGPUTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/ru... | true |
2,791,837,550 | DISABLED test_dropout_dynamic_shapes_cuda (__main__.DynamicShapesGPUTests) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 12 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_dropout_dynamic_shapes_cuda&suite=DynamicShapesGPUTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35694427782).
Over the past 3 hours... | true |
2,791,837,465 | DISABLED test_aoti_eager_support_out_dynamic_shapes_cuda (__main__.DynamicShapesCodegenGPUTests) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 10 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_aoti_eager_support_out_dynamic_shapes_cuda&suite=DynamicShapesCodegenGPUTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35694427297).
... | true |
2,791,832,224 | In PyTorch, do matrix multiplication functions internally call cublasGEMM? | Linus-Voss | closed | [] | 1 | NONE | In PyTorch, do matrix multiplication functions such as torch.matmul and torch.nn.functional.linear internally call cublasGEMM? If so, where can I find these calls, or is there any documentation that explains these calls? | true |
2,791,827,141 | fix acquire pattern in topk | ngimel | closed | [
"Merged",
"ciflow/trunk",
"release notes: cuda"
] | 3 | COLLABORATOR | Similar to #128455, topk needs another threadfence to complete acquire pattern.
| true |
2,791,806,686 | Replacing explicit backend search with api call | AnantGulati | open | [
"oncall: distributed",
"triaged",
"open source",
"ciflow/trunk",
"topic: not user facing"
] | 34 | CONTRIBUTOR | Following up on PR #138216
In this PR we are modifying the internal structure of common distributed class DistributedTestBase to use an inbuilt function get_default_backend_for_device (#140536).
We have also refactored test file test_functional_api to remove all explicit calls to test_hpu. to add support for a ne... | true |
2,791,799,412 | cache pattern matcher graphs | xmfan | closed | [
"Stale",
"module: inductor",
"ciflow/inductor"
] | 3 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144943
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov | true |
2,791,786,236 | [ROCm][TunableOp] Improve identification of fastest solution | naromero77amd | closed | [
"module: rocm",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/rocm"
] | 6 | COLLABORATOR | This PR addresses some stability issues with identifying the fastest solution on AMD GPUs, particularly the MI300.
Changes include:
- An improved timer, StreamTimerNoSync
- More aggressive skipping of slow solutions
- Additional statistics that can be used for diagnostics PYTORCH_TUNABLEOP_VERBOSE=3
cc @jeffda... | true |
2,791,731,891 | [RFC] Add CPP INT8 SDPA Template for Inductor CPU | Valentine233 | closed | [
"triaged",
"oncall: pt2",
"module: inductor"
] | 18 | COLLABORATOR | ### 🚀 The feature, motivation and pitch
## Motivation
PyTorch Template is now a common method to implement the target kernel with high flexibility. We are considering to implement the Int8 SDPA CPU kernel by using template in PyTorch. With the method, the kernel code is generated from the corresponding template durin... | true |
2,791,725,668 | [WIP] Move XNNPACKQuantizer from PyTorch to ExecuTorch | digantdesai | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: quantization",
"skip-pr-sanity-checks",
"module: dynamo",
"ciflow/inductor"
] | 25 | CONTRIBUTOR | Summary:
This replicates XNNPACKQuantizer from PyTorch to ExecuTorch.
Rationale:
Main motivation is to avoid pytorch pin update in OSS after updating XNNPACKQuantizer, which can be rather frequent.
Other impact and considerations:
PT2e flow (which lives in PyTorch) relies havily on XNNPACKQuantizer for a "exampl... | true |
2,791,706,510 | [inductor] [bug fix] align `conv` with eager when handling `uint` | shaoyuyoung | closed | [
"open source",
"topic: not user facing",
"module: inductor"
] | 4 | CONTRIBUTOR | Fixes #144314
similar to #144313.
I add the error checking in `meta_registration`.
ut
```
pytest -s -v test/inductor/test_torchinductor.py -k test_conv_errors_with_uint
```
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf22... | true |
2,791,681,642 | [Inductor][FlexAttention] Supports dynamic shapes with custom kernel options | yanboliang | 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):
* __->__ #144938
Fixes #144815
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhan... | true |
2,791,625,992 | [inductor][cpu]float32 dynamic shape maml_omniglot performance regression in 2025-01-13 nightly release | zxd1997066 | open | [
"oncall: pt2",
"oncall: cpu inductor"
] | 4 | CONTRIBUTOR | ### 🐛 Describe the bug
<p>dynamic shape default wrapper</p><table border="1" class="dataframe table">
<thead>
<tr style="text-align: right;">
<th>suite</th>
<th>name</th>
<th>thread</th>
<th>batch_size_new</th>
<th>speed_up_new</th>
<th>inductor_new</th>
<th>eager_new</... | true |
2,791,623,115 | DISABLED test_compile_forward_clone_cpu_float32 (__main__.TestNestedTensorOpInfoCPU) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"module: nestedtensor",
"skipped"
] | 3 | NONE | Platforms: asan, linux, mac, macos, win, windows
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_compile_forward_clone_cpu_float32&suite=TestNestedTensorOpInfoCPU&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorc... | true |
2,791,623,013 | DISABLED test_compile_forward_select_cuda_float32 (__main__.TestNestedTensorOpInfoCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"module: nestedtensor",
"skipped"
] | 4 | 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_compile_forward_select_cuda_float32&suite=TestNestedTensorOpInfoCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35686125... | true |
2,791,622,966 | DISABLED test_pt2_traceable_aot_eager_cpu_float8_e5m2 (__main__.TestFloat8DtypeCPUOnlyCPU) | pytorch-bot[bot] | closed | [
"oncall: quantization",
"module: flaky-tests",
"skipped"
] | 10 | NONE | Platforms: asan, linux, mac, macos
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_pt2_traceable_aot_eager_cpu_float8_e5m2&suite=TestFloat8DtypeCPUOnlyCPU&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs... | true |
2,791,622,922 | DISABLED test_run_decompositions_map_handle_to_new_nodes (__main__.TestNumericDebugger) | pytorch-bot[bot] | open | [
"oncall: quantization",
"triaged",
"module: flaky-tests",
"module: macos",
"skipped"
] | 2 | NONE | Platforms: mac, macos
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_run_decompositions_map_handle_to_new_nodes&suite=TestNumericDebugger&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35684218376).
Ov... | true |
2,791,584,852 | [inductor][cpu]amp fp16 llama dynamic shape cpp wrapper performance regression in 2025-01-07 nightly release | zxd1997066 | closed | [
"oncall: pt2",
"oncall: cpu inductor"
] | 9 | CONTRIBUTOR | ### 🐛 Describe the bug
<p>amp fp16 dynamic shape cpp wrapper</p><table border="1" class="dataframe table">
<thead>
<tr style="text-align: right;">
<th>suite</th>
<th>name</th>
<th>thread</th>
<th>batch_size_new</th>
<th>speed_up_new</th>
<th>inductor_new</th>
<th>eager_... | true |
2,791,574,555 | Error loading "torch\lib\aoti_custom_ops.dll" or one of its dependencies, when importing Torch, when building from Source on Windows 11 with cuDNN. | Panchovix | open | [
"module: build",
"module: windows",
"triaged"
] | 15 | NONE | ### 🐛 Describe the bug
Hi there, thanks for the great work.
When I build from source on Windows 11, CUDA 12.6, VS 2022, and specifying to use cuDNN (either 9.5.1 or 9.6.0), it gives this next error
```
>> import torch
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "<frozen importlib... | true |
2,791,547,690 | Profile compile_inner instead of _compile_inner | laithsakka | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Summary: title
Test Plan: NA
Reviewed By: jamesjwu
Differential Revision: D67990492
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,791,484,504 | [Pipelining] Improve shape inference debug logging | wconstab | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (pipeline)"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144834
* __->__ #144929
Remove log that just said "running forward" since that is not so useful
in itself, replace with somewhat equivalent log that reports both input
and output shapes after running forward.
Note: enabled by `TORCH_LOGS=+... | true |
2,791,465,075 | Add API to detect if activation checkpointing is enabled in the current region or not | danielvegamyhre | open | [
"module: activation checkpointing",
"triaged"
] | 0 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
I've been developing an experimental feature for torchao and doing a [PoC integration](https://github.com/pytorch/torchtitan/pull/778) in torchtitan. The implementation is based on custom Triton kernels, and we need to execute different kernels at different points in forward/ba... | true |
2,791,461,921 | XFAIL test_save_load_checkpoint | huydhn | closed | [
"oncall: distributed",
"Merged",
"topic: not user facing"
] | 4 | CONTRIBUTOR | Fixes https://github.com/pytorch/pytorch/issues/137771
The issue keeps showing up and rerun disable tests couldn't reproduce the issue. So, XFAIL it while waiting for distributed team to investigate.
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
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