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 |
|---|---|---|---|---|---|---|---|---|
2,791,408,646 | Fixed typo in docs/source/scripts/build_activation_images.py | Sai-Pra | closed | [
"open source"
] | 2 | CONTRIBUTOR | Fixed typo, changed programmaticaly to programmatically | true |
2,791,397,569 | [export] check non-negative modulus, avoid unnecessary congruences, in export solver | pianpwk | open | [
"fb-exported",
"Stale",
"ciflow/trunk",
"release notes: fx",
"fx",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Fixes #144852
Summary: if we find x = a * k + b, make sure a is non-negative. Also don't introduce unnecessary congruences on arbitrary floordiv expressions. Test case checks we don't introduce a divisiblity guard.
Test Plan: test_export
Differential Revision: D68245292
cc @ezyang @SherlockNoMad @Eik... | true |
2,791,393,947 | [MPSInductor] Fix codegen regression | 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):
* __->__ #144924
* #144917
Caused by https://github.com/pytorch/pytorch/pull/144649
Do not try to insert anything into the header if wrapper is not ready yet
Fixes `test_sort_mps`
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen... | true |
2,791,393,383 | DISABLED test_aoti_eager_dtype_device_layout_dynamic_shapes_cuda (__main__.DynamicShapesCodegenGPUTests) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 8 | 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_dtype_device_layout_dynamic_shapes_cuda&suite=DynamicShapesCodegenGPUTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/356796... | true |
2,791,393,381 | DISABLED test_aoti_eager_support_str_dynamic_shapes_cuda (__main__.DynamicShapesGPUTests) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 5 | 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=DynamicShapesGPUTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35679665765).
Over t... | true |
2,791,393,380 | DISABLED test_repeat_graph_capture_cublas_workspace_memory (__main__.TestCuda) | pytorch-bot[bot] | open | [
"module: cuda",
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped"
] | 5 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_repeat_graph_capture_cublas_workspace_memory&suite=TestCuda&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35670628070).
Over the past 3 h... | true |
2,791,392,704 | DISABLED test_returning_symint (__main__.TestPythonRegistration) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"module: __torch_dispatch__"
] | 3 | NONE | Platforms: asan, linux, rocm, slow, win, windows, mac, macos
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_returning_symint&suite=TestPythonRegistration&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/ru... | true |
2,791,392,684 | DISABLED test_aoti_eager_cache_hit_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_aoti_eager_cache_hit_dynamic_shapes_cuda&suite=DynamicShapesGPUTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35679665075).
Over the... | true |
2,791,392,630 | DISABLED test_distributed_checkpoint_state_dict_type1_cuda (__main__.TestDistributedCheckpointCUDA) | pytorch-bot[bot] | open | [
"oncall: distributed",
"module: flaky-tests",
"skipped"
] | 2 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_distributed_checkpoint_state_dict_type1_cuda&suite=TestDistributedCheckpointCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/3567070029... | true |
2,791,353,487 | [MPSInductor] Properly convert index | malfet | closed | [
"Merged",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144924
* __->__ #144917
By calling `self.index_to_str` from `load`,`store` and `check_bounds` in order to properly handle sizevars variables renames
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe ... | true |
2,791,351,573 | [c10d][fr] Fix the bug when we still mark mismatch when there are match case | fduwjj | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144916
When we introduce partial match, we accidentally introduce the mark of mismatch for the full match case. This is wrong and this PR fix it.
| true |
2,791,338,736 | Update clickhouse-connect to 0.8.14 | clee2000 | closed | [
"Merged",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Corresponds to https://github.com/pytorch/test-infra/pull/6177
I only tested the slow test script but I also did testing on the new version with scripts in https://github.com/pytorch/test-infra/pull/6177 | true |
2,791,305,344 | Prevent _legacy_load with weights_only=True | mikaylagawarecki | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"release notes: python_frontend",
"topic: improvements",
"ciflow/inductor",
"keep-going",
"ci-no-td"
] | 15 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144914
| true |
2,791,292,409 | UserWarning: cuDNN SDPA backward got grad_output.strides() != output.strides() | vecorro | open | [
"module: cudnn",
"triaged",
"module: sdpa"
] | 0 | NONE | ### 🐛 Describe the bug
I'm getting this warning when using TRainer and FSDP to pre-train Llama3.1-8b.
`UserWarning: cuDNN SDPA backward got grad_output.strides() != output.strides()`
This might introduce overhead in the training processes.
I have tried to disable the backend with:
```
import os
os.environ["TORCH... | true |
2,791,283,544 | DISABLED test_flex_attention (__main__.TestCompiledAutograd) | jeffdaily | closed | [
"module: rocm",
"triaged",
"skipped",
"oncall: pt2",
"module: higher order operators",
"module: compiled autograd",
"module: pt2-dispatcher",
"module: flex attention"
] | 1 | COLLABORATOR | Platforms: rocm
This test was disabled because it is failing on main branch ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22inductor%2Ftest_compiled_autograd.py%3A%3ATestCompiledAutograd%3A%3Atest_flex_attention%22%5D)).
Caused by this PR: https://github.com/pytorch/pytorch/pull/144533
The MI20... | true |
2,791,263,757 | [Submodule] Upgrade to Cutlass 3.6 part deux | drisspg | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: sparse"
] | 7 | CONTRIBUTOR | # Summary
Take 2 of [D67866269](https://www.internalfb.com/diff/D67866269)
Main change is that we identified and fixed the FA2 regression. More details can be found here https://github.com/pytorch/pytorch/issues/144729 and have landed that before this here: [D68194635](https://www.internalfb.com/diff/D68194635)
Di... | true |
2,791,255,925 | cpp_wrapper: Properly handle scalars when input to tensor arguments | benjaminglass1 | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145095
* __->__ #144910
Additionally, reduce code duplication in `cpp_wrapper_cpu_array_ref.py`.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyan... | true |
2,791,237,403 | Update .gitignore | imranMkhan | closed | [
"topic: not user facing"
] | 2 | NONE | Fixes #ISSUE_NUMBER
| true |
2,791,234,339 | A more flexible API for torch.compile fullgraph=True | xmfan | open | [
"triaged",
"oncall: pt2",
"module: dynamo"
] | 7 | MEMBER | ### 🚀 The feature, motivation and pitch
We're encouraging people to use fullgraph=True to better identify graph breaks. At the same time, we're empowering users to use escape hatches like torch._dynamo.disable. These two work against each other, and the best workaround I can think of is to ask users to stop fullgrapi... | true |
2,791,073,206 | `torch.export` for Yolo Pose fails | agunapal | closed | [
"oncall: pt2",
"module: dynamic shapes",
"module: dynamo",
"oncall: export"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
I get an error when I try to export the Yolo-Pose model with `strict=True`
The error goes away with `strict=False`
`pip install ultralytics`
```
from ultralytics import YOLO
import torch
from torch.export import export
pose_model = YOLO("yolo11n-pose.pt") # Load model
pose_model.model.eval(... | true |
2,791,045,826 | torch.export fails for whisper tiny | agunapal | closed | [
"oncall: pt2",
"module: dynamo",
"oncall: export"
] | 5 | CONTRIBUTOR | ### 🐛 Describe the bug
Trying to export whisper model. Getting an error when I run with `strict=True`
The model exports when I used `strict=False`
Is this a valid Dynamo related issue which is addressed by non-strict mode?
```
import torch
from transformers import WhisperProcessor, WhisperForConditionalGeneration... | true |
2,791,029,904 | Update fbgemm_gpu pin | malfet | open | [
"topic: not user facing",
"ciflow/inductor",
"no-runner-experiments"
] | 6 | CONTRIBUTOR | Used in inductor tests, to unblock https://github.com/pytorch/pytorch/pull/138626
| true |
2,791,021,623 | DISABLED test_compile_forward_chunk_cpu_float32 (__main__.TestNestedTensorOpInfoCPU) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"module: nestedtensor",
"skipped",
"module: unknown"
] | 4 | 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_chunk_cpu_float32&suite=TestNestedTensorOpInfoCPU&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorc... | true |
2,791,021,533 | DISABLED test_pt2_traceable_aot_eager_cpu_float8_e4m3fn (__main__.TestFloat8DtypeCPUOnlyCPU) | pytorch-bot[bot] | closed | [
"oncall: quantization",
"module: flaky-tests",
"skipped",
"module: unknown"
] | 12 | NONE | Platforms: linux, mac, macos, asan
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_e4m3fn&suite=TestFloat8DtypeCPUOnlyCPU&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/... | true |
2,791,021,454 | DISABLED test_channel_group_quantization (__main__.TestQuantizePT2EAffineQuantization) | pytorch-bot[bot] | closed | [
"oncall: quantization",
"module: flaky-tests",
"skipped",
"module: unknown"
] | 9 | 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_channel_group_quantization&suite=TestQuantizePT2EAffineQuantization&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35666... | true |
2,791,021,375 | DISABLED test_compile_forward_select_cpu_float32 (__main__.TestNestedTensorOpInfoCPU) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"module: nestedtensor",
"skipped",
"module: unknown"
] | 6 | 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_select_cpu_float32&suite=TestNestedTensorOpInfoCPU&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pyt... | true |
2,791,021,309 | DISABLED test_compile_forward_chunk_cuda_float32 (__main__.TestNestedTensorOpInfoCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"module: nestedtensor",
"skipped",
"module: unknown"
] | 8 | 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_chunk_cuda_float32&suite=TestNestedTensorOpInfoCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35667819694... | true |
2,791,020,926 | DISABLED test_compile_forward_clone_cuda_float32 (__main__.TestNestedTensorOpInfoCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"module: nestedtensor",
"skipped",
"module: unknown"
] | 4 | NONE | Platforms: linux, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_compile_forward_clone_cuda_float32&suite=TestNestedTensorOpInfoCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35670326638).
Ov... | true |
2,791,020,866 | DISABLED test_re_export_preserve_handle (__main__.TestNumericDebugger) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"module: macos",
"skipped"
] | 3 | NONE | Platforms: mac, macos
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_re_export_preserve_handle&suite=TestNumericDebugger&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35666010341).
Over the past 3 hou... | true |
2,791,020,811 | DISABLED test_recompile_on_global_state_change (__main__.MiscTests) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped"
] | 9 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_recompile_on_global_state_change&suite=MiscTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35668591743).
Over the past 3 hours, it ha... | true |
2,791,020,723 | DISABLED test_recompile_on_global_state_change_dynamic_shapes (__main__.DynamicShapesMiscTests) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped"
] | 9 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_recompile_on_global_state_change_dynamic_shapes&suite=DynamicShapesMiscTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35670761806).
... | true |
2,791,020,695 | DISABLED test_mismatched_global_state (__main__.GraphRegionTrackerTests) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped"
] | 11 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_mismatched_global_state&suite=GraphRegionTrackerTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35666846912).
Over the past 3 hours, ... | true |
2,791,018,380 | serde unbacked bindings | avikchaudhuri | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export"
] | 10 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144894
Adds unbacked bindings during deserialization. These are carried by a node's metadata, and map pending fresh unbacked symbols to paths to such symbols inside the corresponding example value carried by the node's metadata.
... | true |
2,791,016,854 | TIMM Training cudagraphs poolformer_m36 regression | zou3519 | closed | [
"high priority",
"triaged",
"module: cuda graphs",
"oncall: pt2",
"pt2-pass-rate-regression"
] | 3 | CONTRIBUTOR | Used to pass, now "eager_two_runs_differ". This probably just needs some tolerance adjustments
https://hud.pytorch.org/benchmark/timm_models/inductor_with_cudagraphs?dashboard=torchinductor&startTime=Fri,%2019%20Jul%202024%2020:48:05%20GMT&stopTime=Wed,%2015%20Jan%202025%2021:48:05%20GMT&granularity=week&mode=trainin... | true |
2,791,009,120 | serde unbacked bindings | avikchaudhuri | closed | [
"fb-exported",
"ciflow/inductor",
"release notes: export"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144892
Differential Revision: [D68232274](https://our.internmc.facebook.com/intern/diff/D68232274/) | true |
2,790,993,484 | TorchBench mobilenet_v2 cudagraphs_freezing inference regression | zou3519 | closed | [
"high priority",
"triaged",
"module: cuda graphs",
"oncall: pt2",
"pt2-pass-rate-regression"
] | 2 | CONTRIBUTOR | https://hud.pytorch.org/benchmark/torchbench/inductor_with_cudagraphs_freezing?dashboard=torchinductor&startTime=Fri,%2019%20Jul%202024%2020:38:32%20GMT&stopTime=Wed,%2015%20Jan%202025%2021:38:32%20GMT&granularity=week&mode=inference&model=mobilenet_v2&dtype=bfloat16&deviceName=cuda%20(a100)&lBranch=main&lCommit=2ed4d6... | true |
2,790,973,837 | Ways the HUD compilers dashboard could be better | zou3519 | open | [
"triaged",
"enhancement",
"module: devx"
] | 1 | CONTRIBUTOR | I got here because I'm trying to answer the question of "which compiler benchmarks regressed in the past year?" I've spent a couple of hours on the HUD dashboard page, and I still haven't figured this out yet. Here's some of the gripes that I ran into while trying to answer this question.
1) The page seems to refresh ... | true |
2,790,871,759 | Support remaining *_like factory functions for NJT | jbschlosser | closed | [
"Merged",
"ciflow/trunk",
"topic: improvements",
"release notes: nested tensor"
] | 12 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144889
Fixes #144761
This PR adds NJT impls for those *_like functions that were previously missing:
* `full_like()`
* `rand_like()`
* `randint_like()`
It also fixes a bug in existing *_like functions when a new device is s... | true |
2,790,866,668 | TIMM cudagraphs_freezing inference regression | zou3519 | closed | [
"high priority",
"triaged",
"module: cuda graphs",
"oncall: pt2",
"pt2-pass-rate-regression"
] | 1 | CONTRIBUTOR | https://hud.pytorch.org/benchmark/timm_models/inductor_with_cudagraphs_freezing?dashboard=torchinductor&startTime=Mon,%2016%20Dec%202024%2020:49:27%20GMT&stopTime=Wed,%2015%20Jan%202025%2020:49:27%20GMT&granularity=day&mode=inference&model=lcnet_050&dtype=bfloat16&deviceName=cuda%20(a100)&lBranch=main&lCommit=1dab79470... | true |
2,790,810,275 | Binary upload checksum | clee2000 | closed | [
"Merged",
"Reverted",
"topic: not user facing",
"ciflow/binaries_wheel",
"ci-no-td"
] | 8 | CONTRIBUTOR | Equivalent to https://github.com/pytorch/test-infra/pull/6172 but for pytorch | true |
2,790,806,102 | [SymmetricMemory] fix an issue where rendezvous is performed with wrong device context when torch.cuda.set_device() is not callled | yifuwang | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145652
* __->__ #144886
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,790,703,775 | [dynamo] add option to not skip on empty graph | williamwen42 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 10 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144885
Temporary fix to https://github.com/pytorch/pytorch/issues/144360.
Turning the config on globally will cause a bunch of tests to fail, which needs to be addressed in followups.
I had a previous attempt at https://gith... | true |
2,790,688,709 | Adding more compile time logging in pad_mm | Mingming-Ding | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 22 | CONTRIBUTOR | Summary: As title
Test Plan:
[midin@6262.od /data/sandcastle/boxes/fbsource/fbcode (99e64d2e4)]$ tlp buck run mode/opt caffe2/test/inductor:pad_mm -- -r test_exclude_padding
https://interncache-all.fbcdn.net/manifold/perfetto-artifacts/tree/ui/index.html?url=https%3A%2F%2Finterncache-all.fbcdn.net%2Fmanifold%2Ft... | true |
2,790,674,148 | Fix erroneous at_vreinterpretq_u16_bf16 call | swolchok | closed | [
"module: cpu",
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: cpp",
"ciflow/linux-aarch64"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144883
Here, `mask` is definitely a `uint16x8_t`, not an `at_bfloat16x8_t`, so we shouldn't be reintepreting it. Candidate fix for #144818 .
Differential Revision: [D68224128](https://our.internmc.facebook.com/intern/diff/D6822... | true |
2,790,671,403 | fix typo in doc and import for torch._library.triton | ydwu4 | closed | [
"Merged",
"ciflow/trunk",
"topic: docs",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144882
Previously, the doc's suggested `from torch._library.triton import wrap_triton, triton_op` doesn't work because wrap_triton is not imported in torch/_library/__init__.py but `from torch.library import wrap_triton` works. This... | true |
2,790,640,165 | Uniformly update scipy pin to 1.14.1 | ezyang | closed | [
"release notes: releng"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144695
* #144863
* __->__ #144881
Signed-off-by: Edward Z. Yang <ezyang@meta.com> | true |
2,790,580,218 | update guard_size_oblivious comment | laithsakka | closed | [
"fb-exported",
"Stale",
"ciflow/trunk",
"release notes: fx",
"fx",
"ciflow/inductor"
] | 10 | CONTRIBUTOR | Summary:
I just wish this was here when i learned about guard_size_oblivious, it turn out it is
there on the other guard_size_oblivious function call.
But it could have saved me some time to see it here as well.
Differential Revision: D68216350
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,790,532,890 | FlexAttention Compilation Uses Non-Standard Invocation Of Inductor Ops | eellison | open | [
"triaged",
"oncall: pt2",
"module: inductor",
"module: higher order operators",
"module: pt2-dispatcher",
"internal ramp-up task",
"module: flex attention"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
`Modification Wrapper` uses a non-standard way of invoking inductor operators.
In https://github.com/pytorch/pytorch/blob/d065e8a9de7d6b91bd18286bf45e5094f1278f9f/torch/_inductor/select_algorithm.py#L623-L634
it passes string arguments to `subgraph.data.inner_fn(())` instead of `CSEVariable... | true |
2,790,489,838 | [Release/2.6] Enable python-3.13t aarch64 builds | malfet | closed | [
"release notes: releng"
] | 2 | CONTRIBUTOR | Cherry-picks following 2 commits
- https://github.com/pytorch/pytorch/pull/144716
- https://github.com/pytorch/pytorch/pull/144698
And regenerated the workflow file by running `RELEASE_VERSION_TAG=2.6 .github/regenerate.sh`
| true |
2,790,482,763 | [mps] Massage test_full_truncation to work only on the supported dtypes. | dcci | closed | [
"Merged",
"Reverted",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 8 | MEMBER | Converted a first one to make sure the pattern was the one we wanted -- if we're OK with this, I'll probably adjust all the other failing ones in a batch or two. Let me know.
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @b... | true |
2,790,447,154 | Enable sleef for Win Arm64 | iremyux | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: build",
"module: inductor",
"ciflow/inductor"
] | 4 | COLLABORATOR | Sleef module was disabled for Windows Arm64 on https://github.com/iremyux/pytorch/commit/b021486405de45e184b34c4eeeba7c3b6cf2da73
This PR enables it again since the issue is no longer valid.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipisz... | true |
2,790,443,660 | [Monitoring] Display on HUD the information about runners that failed to be created (which cause jobs to queue) | ZainRizvi | open | [
"module: ci",
"triaged"
] | 1 | CONTRIBUTOR | ## Context
When job queuing for a significant period of time, it'll usually be for one of the following reasons:
- The desired machine is out of stock. We'll retry creating that instance until it becomes available
- There's a bug preventing that runner type from coming online, or perhaps even being provisioned
- Some o... | true |
2,790,425,283 | [dynamo] Support mutation on type objects | StrongerXi | open | [
"triaged",
"oncall: pt2",
"module: dynamo",
"dynamo-triage-jan2025"
] | 0 | CONTRIBUTOR | This tracks (2) from https://github.com/pytorch/pytorch/pull/144419#issuecomment-2583533712.
Repro:
```python
@torch.compile(backend="eager", fullgraph=True)
def f(x):
Foo.a = 1
return x + 1
f(torch.ones(1))
# File ".../torch/_dynamo/symbolic_convert.py", line 1843, in STORE_ATTR
# BuiltinVariable(setattr... | true |
2,790,423,672 | [dynamo] Model `__dict__` with `ConstDictVariable` rather than `GetAttrVariable` | StrongerXi | closed | [
"triaged",
"oncall: pt2",
"module: dynamo"
] | 1 | CONTRIBUTOR | This tracks (1) from https://github.com/pytorch/pytorch/pull/144419#pullrequestreview-2541259169.
It'll lead to removal of duplicated logic for dictionary object handling below, and make it easier to reason about `__dict__` in general.
https://github.com/pytorch/pytorch/blob/d85ae4be734cfd53f5b893240894381ac65fe8b4/to... | true |
2,790,396,022 | Add flop formula for _scaled_mm | lw | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"ci-no-td"
] | 12 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144872
This will make it work correctly with the partitioner's AutoAC | true |
2,790,385,402 | Implement grid_sampler_2d_backward for MPS device | chriscremer | closed | [
"release notes: mps"
] | 2 | NONE | Implement `grid_sampler_2d_backward` for the MPS device.
* **Add `aten/src/ATen/native/mps/GridSamplerMPS.mm`**
- Implement `grid_sampler_2d_backward_mps` function.
- Include necessary headers for MPS device support.
- Define the `grid_sampler_2d_backward_mps` function.
- Implement the backward pass logic for ... | true |
2,790,334,707 | [BE] - Remove conda test and upload scripts and env variables from Workflows Part 1 | atalman | closed | [
"Merged",
"ciflow/binaries",
"release notes: releng"
] | 4 | CONTRIBUTOR | Remove conda test and upload scripts and env variables from Workflows
Related to: https://github.com/pytorch/pytorch/issues/138506 | true |
2,790,332,270 | FlexAttention errors with certain functions and half precision in score_mod | michael-diggin | closed | [
"triaged",
"oncall: pt2",
"module: flex attention"
] | 3 | CONTRIBUTOR | ### 🐛 Describe the bug
Using certain functions in `score_mod` as part of FlexAttention error when using float16 or bfloat16. This is on nightly, to reproduce:
```python
import torch
from torch.nn.attention.flex_attention import flex_attention
flex_attention = torch.compile(flex_attention, dynamic=False)
q = torch.r... | true |
2,790,209,100 | FUNC_INLINELIST doesn't exist | zou3519 | closed | [
"triaged",
"oncall: pt2",
"module: dynamo",
"dynamo-triage-jan2025"
] | 2 | CONTRIBUTOR | probably just obsolete comment: https://github.com/pytorch/pytorch/blob/7c52c97a65f58e1de2967509ab732e20f468dae8/torch/_dynamo/trace_rules.py#L3176
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,790,112,994 | Unconditionally exclude upper bound in all size oblivious tests | ezyang | closed | [
"Merged",
"ciflow/trunk",
"release notes: fx",
"fx",
"ciflow/inductor"
] | 9 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144867
I was thinking about https://github.com/pytorch/pytorch/pull/144471 some more and I thought, "Hmm, why not just always exclude the constant upper bound." So here it is.
Signed-off-by: Edward Z. Yang <ezyang@meta.com>
cc... | true |
2,790,081,956 | [AOTI] Add an option to skip optimizing generated wrapper code | desertfire | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: improvements",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 10 | CONTRIBUTOR | Summary: In some cases, generated wrapper code faces a long cpp compilation time. As an alleviation, this PR adds an option to skip cpp compiler optimizers for the generated main wrapper function body.
D68174038
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng ... | true |
2,790,052,755 | [64-bit] Int64 casting for UpSampleNearest3D | jataylo | closed | [
"open source",
"Merged",
"ciflow/trunk",
"release notes: cuda",
"ciflow/inductor",
"ciflow/slow",
"ciflow/rocm"
] | 11 | COLLABORATOR | Fixes #144855
Follows approach in https://github.com/pytorch/pytorch/pull/141923 to use int64 types to increase INT_MAX limits | true |
2,790,049,798 | Undo leading underscore on ctx for breakpoint | ezyang | 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):
* __->__ #144864
Signed-off-by: Edward Z. Yang <ezyang@meta.com>
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,790,013,574 | Update executorch pin | ezyang | closed | [
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144695
* __->__ #144863
* #144881
Signed-off-by: Edward Z. Yang <ezyang@meta.com> | true |
2,789,880,755 | Create aaaa | swgu98 | closed | [
"open source"
] | 3 | NONE | Fixes #ISSUE_NUMBER
| true |
2,789,830,741 | Region check for in-place read and write does not always work | jenspetersen | open | [
"triaged",
"module: partial aliasing"
] | 1 | NONE | ### 🐛 Describe the bug
Hello!
If I try to read and write from and to the same locations along the first axis of a tensor, I get a RuntimeError, which is expected:
```python
>>> arr = torch.arange(9).reshape(3, 3)
>>> arr[1:, :] = arr[:-1, :]
--------------------------------------------------------------------------... | true |
2,789,769,302 | Exporting a model with dynamic axes and dynamo fails with `TypeError: unhashable type: 'list'` | koute | closed | [
"module: onnx",
"oncall: pt2",
"oncall: export"
] | 3 | NONE | ### 🐛 Describe the bug
Consider the following code:
```python
import torch
class Model(torch.nn.Module):
def __init__(self):
super().__init__()
def forward(self, x):
B, C, H, W = x.shape
return x.view(B, C, H * W)
model = Model()
input_tensor = torch.rand((2, 64, 128, 128))
torch.... | true |
2,789,714,297 | Torch compile cache | christopher5106 | open | [
"triaged",
"oncall: pt2"
] | 8 | NONE | ### 🐛 Describe the bug
Hi,
I'm setting the following values
TORCHINDUCTOR_FX_GRAPH_CACHE
TORCHINDUCTOR_CACHE_DIR
I see the cache folder is populated by 3.8G.
I'm creating a tar archive to place the cache on another instance, with same H100 and untar on the other instance. But compile time shows the cache has not ... | true |
2,789,625,977 | torch.nn.functional.scaled_dot_product_attention is_causal fails for kv-cache case (sequential and further parallel attention) | JamesGlare | open | [
"triaged",
"module: sdpa"
] | 1 | NONE | ### 🚀 The feature, motivation and pitch
**Behaviour found for torch version 2.2.2**
It would be great if scaled_dot_product_attention could be (easily) used for the case of sequential token generation when a kv-cache is present. However, currently when is_causal is set and a single query vector is put in, the functi... | true |
2,789,568,654 | Update OpenBLAS to 0.3.29 | michalowski-arm | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 11 | CONTRIBUTOR | * Improvements for GEMM to GEMV kernels
* Improvements for SVE kernels for SGEMV and DGEMV
| true |
2,789,519,322 | Connection Limitation in PyTorch Distributed (Vanilla) with c10d Rendezvous Backend | aliciasoliveiraa | open | [
"oncall: distributed"
] | 3 | NONE | ### 🐛 Describe the bug
Hello PyTorch team,
I am encountering an issue while using PyTorch Distributed Vanilla with the c10d rendezvous backend. I am currently running PyTorch version 2.5.1.
When trying to establish connections across multiple nodes, I can only manage up to 75 simultaneous connections. The plan was ... | true |
2,789,470,536 | RuntimeError: upsample_nearest3d only supports output tensors with less than INT_MAX elements | eppaneamd | closed | [
"triaged",
"module: 64-bit",
"module: interpolation"
] | 1 | NONE | ### 🐛 Describe the bug
Upscaling a tensor with `upsample_nearest3d` where the result size would exceed 2^31 causes a `RuntimeError`. Code to reproduce:
```
import torch
x = torch.ones((1, 256, 16, 720, 1280), dtype=torch.bfloat16).cuda()
out = torch.nn.functional.interpolate(x, scale_factor=2, mode='nearest')
assert... | true |
2,789,294,857 | [Intel CPU] Fix issue #143483. | RanTao123 | open | [
"triaged",
"open source",
"Stale",
"topic: not user facing"
] | 4 | CONTRIBUTOR | Fix issue in https://github.com/pytorch/pytorch/issues/143483.
mode should be in enum class EmbeddingBagMode. | true |
2,789,213,710 | Accessing secrets variables in CI | swgu98 | closed | [
"module: ci",
"triaged",
"security"
] | 4 | NONE | I've recently been learning how to use github actions. I've set up secrets variables in my repository, and created a workflow triggered by pull_request by submitting a pull request from an external developer. At this point, the repository has a secrets variable set up and a workflow. When an external developer submits ... | true |
2,789,159,372 | [torch.export] Error When Trying To Express Dynamism For Transformer Model of SD3 | anzr299 | closed | [
"oncall: pt2",
"oncall: export"
] | 8 | NONE | ### 🐛 Describe the bug
**Brief Description:**
I am trying to export the transformer model of Stable Diffusion 3 using `torch.export.export_for_training`. The error occurs when trying to express dynamism for the feature map height and width. The reproducer and traceback are given below.
**Reproducible Code:**
```
imp... | true |
2,789,119,643 | torch.distributed hangs between Linux (X86) and Mac (M2 Pro) | stevef1uk | open | [
"oncall: distributed"
] | 6 | NONE | ### 🐛 Describe the bug
I have pared the example code back to the simplest it can be and tried this on both machines. Both ends hang until the timeout.
Linux code:
```
import os
import torch.distributed as dist
from datetime import timedelta
def init_process(rank, world_size):
os.environ["MASTER_ADDR"] = "192.16... | true |
2,789,115,357 | Batching rule for aten::_thnn_fused_gru_cell | jspieler | open | [
"triaged",
"module: functorch"
] | 0 | NONE | ### 🚀 The feature, motivation and pitch
I am currently using `vmap` with GRUCell and got following message:
> There is a performance drop because we have not yet implemented the batching rule for aten::_thnn_fused_gru_cell. Please file us an issue on GitHub so that we can prioritize its implementation. (Triggered in... | true |
2,789,067,810 | [Accelerator] Use uniform `GetAllocator` for devices in `new_qtensor` function | Stonepia | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: quantization",
"ciflow/mps",
"ciflow/xpu",
"module: xpu",
"module: accelerator"
] | 14 | CONTRIBUTOR | Fixes #144848
This PR is intended to use a uniform `GetAllocator()` call for all the accelerators for `new_qtensor` function.
cc @gujinghui @EikanWang @fengyuan14 @guangyey @albanD @ZhiweiYan-96 | true |
2,789,060,717 | [XPU] unrecognized device for new_qtensor: xpu:0 | Stonepia | closed | [
"triaged",
"module: xpu"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
When running tests with qtensor, it has the following errors:
```
RuntimeError: 0 INTERNAL ASSERT FAILED at "/pytorch/aten/src/ATen/quantized/Quantizer.cpp":125, please report a bug to PyTorch. unrecognized device for new_qtensor: xpu:0
```
This is because the XPU is not registered in qtensor... | true |
2,789,046,763 | torch.compile() In my use case of calling torch.compile(), I have found that the model's data outputs are inconsistent. I suspect that using Triton for operator fusion may have introduced precision deviations. I am unsure how to locate and fix this issue. | liangshaopeng | open | [
"triaged",
"oncall: pt2",
"module: inductor"
] | 1 | NONE | ### 🐛 Describe the bug
"My Torch environment is as follows:
2.2.2+cu121
My goal is to use functions related to torch.compile() to optimize the inference time of our model. In fact, it does work and achieves over a 50% reduction in inference time in the default mode.
The model code is as follows:
`"""
copy from htt... | true |
2,789,043,326 | [inductor] [dynamo]index_reduce_ raised AssertionError in assert_functional_graph | zhejiangxiaomai | open | [
"triaged",
"module: functionalization",
"oncall: pt2",
"module: aotdispatch",
"module: pt2-dispatcher"
] | 5 | NONE | ### 🐛 Describe the bug
index_reduce_ will raise assertionError when the input is a view.
mini reproducer:
```python
import torch
class OpWrapperModule(torch.nn.Module):
def __init__(self):
super().__init__()
def forward(self, ifm, op_inputs_dict):
result = ifm.index_reduce_(**op_inputs_dic... | true |
2,789,035,893 | NotImplementedError: Could not run 'aten::empty.memory_format' with arguments from the 'PrivateUse1' backend. This could be because the operator doesn't exist for this backend | xiangxinhello | open | [
"triaged",
"module: PrivateUse1"
] | 4 | NONE | ### 🐛 Describe the bug
```
import torch
a = torch.ones((3,3), device='privateuseone')
print(a)
```
```
a = torch.ones((3,3), device='privateuseone')
NotImplementedError: Could not run 'aten::empty.memory_format' with arguments from the 'PrivateUse1' backend. This could be because the operator doesn't exist for... | true |
2,789,026,790 | Fix flash attention seed/offset overflow when seed/offset larger than int64 | lixin-sxty | open | [
"triaged",
"open source",
"Stale",
"ciflow/trunk",
"topic: not user facing"
] | 16 | CONTRIBUTOR | Operator _scaled_dot_product_flash_attention saves seed and offset when argument dropout is larger than zero for backward gradient calculation.
Torch uses uint64 to represent seed and offset. [See here](https://github.com/pytorch/pytorch/blob/main/aten/src/ATen/cuda/detail/PhiloxCudaStateRaw.cuh#L33). However, flash a... | true |
2,788,995,134 | OpenReg: Split Allocator | Zhenbin-8 | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Split the Allocator into HostAllocator and DeviceAllocator.
cc @albanD | true |
2,788,981,535 | [DONT MERGE] temp upgrade onednn to 3.7 | chuanqi129 | closed | [
"module: mkldnn",
"open source",
"topic: not user facing",
"ciflow/binaries_wheel"
] | 1 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @gujinghui @PenghuiCheng @XiaobingSuper @jianyuh @jgong5 @mingfeima @sanchitintel @ashokei @jingxu10 @min-jean-cho @yanbing-j @Guobing-Chen @Xia-Weiwen @snadampal | true |
2,788,967,996 | OpenReg: Remove REGISTER_GENERATOR_PRIVATEUSE1 | Zhenbin-8 | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 22 | CONTRIBUTOR | Replace REGISTER_GENERATOR_PRIVATEUSE1 with new API in AcceleratorHooksInterface.
cc @albanD | true |
2,788,950,523 | OpenReg: Use device agnostic API | Zhenbin-8 | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Use `torch.accelerator.device_count()` to get the number of devices.
cc @albanD | true |
2,788,948,547 | Apply Ruff fixes and pyupgrade to torch/fx | cyyever | closed | [
"triaged",
"open source",
"release notes: fx",
"fx",
"ciflow/inductor",
"suppress-bc-linter"
] | 1 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,788,934,690 | Enhance running pr time benchmarks locally experience. | laithsakka | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 16 | CONTRIBUTOR | Summary: title
Test Plan: NA
Differential Revision: D68195894
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,788,873,340 | Default Copies are not vectorized in v3.6.0 of cutlass | drisspg | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Summary:
FlashAttentionV2 perf was tanked in v3.6.0, See: https://github.com/pytorch/pytorch/issues/144729 for more details.
This PR makes it possible to land v3.6.0 update and fixes perf regression. See: https://github.com/pytorch/pytorch/issues/144729#issuecomment-2591644076 for anlaysis, as well we have various ... | true |
2,788,848,937 | [inductor] `MaxUnpool` crash when meeting out-of-bound value on inductor | shaoyuyoung | open | [
"triaged",
"oncall: pt2",
"module: decompositions",
"module: inductor"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
**symptom**: when input tensor shape is too small (e.g., [1, 1, 1]) and kernel size >1, eager will return an empty tensor while inductor crashes.
**device**: both on CPU and cuda.
**exposed area**: `MaxUnpool1d`, `MaxUnpool2d`, and `MaxUnpool3d`
```python
import torch
import torch.nn as nn
... | true |
2,788,821,831 | CUDA unknown error | leewww-code | closed | [] | 1 | NONE | Our previous environment can use GPU well, but I don't know why, something went wrong these days.
```
python -c "import torch; print(torch.cuda.is_available())"
```
and it returns:
```
/opt/conda/lib/python3.8/site-packages/torch/cuda/__init__.py:138: UserWarning: CUDA initialization: CUDA unknown error - this may be d... | true |
2,788,816,358 | WIP pp_cp test | wconstab | closed | [
"oncall: distributed",
"Stale",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145125
* __->__ #144834
* #145099
* #145011
* #145010
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @d4l3k | true |
2,788,816,288 | [Pipelining] move scale_grads to base class, add docs | 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
* #145011
* #145010
* __->__ #144833
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @d4l3k @c-p-i-o | true |
2,788,814,828 | [Cutlass] Seeing if changing default copies fixes perf | drisspg | closed | [
"module: cuda",
"ciflow/trunk",
"topic: not user facing",
"module: sdpa"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144832
cc @ptrblck @msaroufim @eqy | true |
2,788,813,787 | updates to benchmarks | drisspg | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144831
| true |
2,788,784,661 | [dynamo] Issue with torch.compile decorator for simple function using python `format` function with integer input. | lunathanael | closed | [
"triaged",
"oncall: pt2",
"module: dynamo"
] | 0 | NONE | ### 🐛 Describe the bug
...
File "/home/.../.venv/lib/python3.12/site-packages/torch/_dynamo/variables/builtin.py", line 1958, in call_format
return variables.StringFormatVariable.create(format_string, args, kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/.../.... | true |
2,788,782,929 | Added swizzle searching, disabled fp16 accum, and enabled ping-pong for cutlass | masnesral | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 12 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #144829
Summary:
Test Plan:
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @cha... | true |
2,788,741,221 | [DO NOT MERGE]upgrade onednn to 3.7 | ZhiweiYan-96 | closed | [
"module: mkldnn",
"open source",
"topic: not user facing",
"ciflow/binaries_wheel",
"ciflow/linux-aarch64"
] | 1 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @gujinghui @PenghuiCheng @XiaobingSuper @jianyuh @jgong5 @mingfeima @sanchitintel @ashokei @jingxu10 @min-jean-cho @yanbing-j @Guobing-Chen @Xia-Weiwen @snadampal | true |
2,788,713,492 | [MPSInductor] Implement `pow()` | 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):
* __->__ #144827
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov | true |
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