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 |
|---|---|---|---|---|---|---|---|---|
2,809,867,383 | Additional operators in operator benchmark | apakbin | closed | [
"open source",
"Merged",
"ciflow/trunk",
"release notes: benchmark"
] | 10 | CONTRIBUTOR | The list of added operators:
add_, addcmul, arange, baddbmm, bmm, clamp, div, div_, gelu, index_add, logical_and, mul_, sub_, topk, where
This pull request is the same as a previous one: https://github.com/pytorch/pytorch/pull/145121 which inadvertently got deleted while merging.
| true |
2,809,858,479 | Local config flags for torch.compile | zou3519 | open | [
"triaged",
"oncall: pt2"
] | 1 | CONTRIBUTOR | internal x-post: https://fb.workplace.com/groups/1075192433118967/posts/1589701705001368/
Pitch: a new decorator to allow user code change configs midway through tracing.
cc @chauhang @penguinwu | true |
2,809,805,707 | [torchbench] Inductor freezing bfloat16 conv folding needs high tolerance | IvanKobzarev | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145623
Issue:
https://github.com/pytorch/pytorch/issues/144888
Torchbench of timm lcnet_050 model fails on accuracy in case of `--frezing` `--inference` `--bfloat16`
`res_error==0.12`
If to turn off convolution inductor cons... | true |
2,809,755,404 | [AOTI] Update test runner to use the new APIs | desertfire | closed | [
"oncall: distributed",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"keep-going"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145622
Summary: Switch to the newer aoti_compile_and_package APIs. Some tests still kept using legacy APIs, and will follow up with internal test refactoring.
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4... | true |
2,809,730,971 | [ROCm] Create inductor-rocm-mi300 | amdfaa | closed | [
"module: rocm",
"open source",
"Merged",
"topic: not user facing"
] | 3 | CONTRIBUTOR | - Adds an mi300 inductor workflow to main.
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,809,719,763 | Remove `public_allowlist` from `TestPublicBindings.test_correct_module_names` and ensure private_allowlist-ed things are actually private | mikaylagawarecki | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | This passes locally, also sanity checked importing these modules on [colab](https://colab.research.google.com/drive/1edynWX1mlQNZIBxtb3g81_ZeTpAqWi19?usp=sharing)
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145620
| true |
2,809,698,827 | [BE][Ez]: FURB148 - remove useless enumerate calls | Skylion007 | closed | [
"oncall: distributed",
"oncall: jit",
"open source",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | COLLABORATOR | Remove useless enumerate calls
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @EikanWang @jgong5 @wenzhe-nrv @sanchitintel @voznesenskym @penguinwu @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @de... | true |
2,809,681,423 | torch.compiler.disable should have the option to raise an informative exception (other than `torch._dynamo.exc.Unsupported`) | vmoens | closed | [
"triaged",
"oncall: pt2",
"module: dynamo",
"dynamo-logging"
] | 3 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
## Context
I'm working on making distributions compatible with compile. We expect that the validate step will never be compilable.
Ideally, users who run into that graph break (whether fullgraph=False and they're using TORCH_LOGS or using fullgraph=True and they look at the ex... | true |
2,809,679,029 | Remove tensorboard from public_allowlist in test_modules_can_be_imported | mikaylagawarecki | closed | [
"topic: not user facing"
] | 1 | CONTRIBUTOR | Testing as removing these doesn't fail locally
As a sanity check, also tested on colab that all these can be imported other than the two fixed by https://github.com/pytorch/pytorch/pull/145396
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145620
* __->__ #145617
| true |
2,809,648,651 | [Release-Only] Remove ptx from Linux CUDA 12.6 binary builds | atalman | closed | [] | 1 | CONTRIBUTOR | These increase binary size of Manywheel builds by about 200mb.
Todo: Add to release runbook to strip ``+PTX`` from all CUDA builds as release only changes.
Please note: We want to keep +PTX in our nightly builds but we don't want to have this functionality in release because of the significant binary size increase. | true |
2,809,592,541 | Back out "Fix triton masked loading for non-block tl.loads (#144782)" | ezyang | closed | [
"fb-exported",
"module: inductor",
"ciflow/inductor"
] | 7 | CONTRIBUTOR | Summary:
Original commit changeset: 77b1206ddb61
Original Phabricator Diff: D68509889
Bisect found this diff, it regresses compile time for Ads CMF model by 20%:
https://www.internalfb.com/lab/attribution/session/888f7684-91cd-4b8f-99ea-a71ce6db1ad6#jobid=45036005935867349
Test Plan:
Metric recovered on backout diff... | true |
2,809,574,175 | [CD] Fix slim-wheel cuda_nvrtc import problem | pytorchbot | closed | [
"open source"
] | 6 | COLLABORATOR | Similar fix as: https://github.com/pytorch/pytorch/pull/144816
Fixes: https://github.com/pytorch/pytorch/issues/145580
Found during testing of https://github.com/pytorch/pytorch/issues/138340
Please note both nvrtc and nvjitlink exist for cuda 11.8, 12.4 and 12.6 hence we can safely remove if statement. Preloa... | true |
2,809,508,846 | [Inductor][Triton] Change propagated dtype for fp16/bf16 unwrapped 0d tensors | kundaMwiza | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Fixes TestInductorOpInfoCPU.test_comprehensive_max_binary_cpu_float16 and related tests for Triton CPU. TestInductorOpInfoCPU is currently not run in the CI. See https://github.com/pytorch/pytorch/pull/144389#issuecomment-2608050755 for some additional context.
Fixes #ISSUE_NUMBER
cc @voznesenskym @penguinwu @Eik... | true |
2,809,502,764 | [BE] Bump huggingface pin | desertfire | closed | [
"Stale",
"topic: not user facing",
"ciflow/inductor",
"ciflow/inductor-periodic"
] | 2 | CONTRIBUTOR | null | true |
2,809,492,101 | Torch device backend autoload fix | kundaMwiza | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | CONTRIBUTOR | This causes an import failure if an external backend imports a module that uses `torch._as_tensor_fullprec` when it is being loaded.
Fixes #ISSUE_NUMBER
| true |
2,809,471,982 | mmap fails on 64k page aarch64 systems for AOTI model loading | lukalt | open | [
"module: crash",
"module: arm",
"oncall: pt2",
"export-triaged",
"oncall: export",
"module: aotinductor"
] | 8 | NONE | ### 🐛 Describe the bug
The AOTI loader mmap's a file with an offset `weights_offset`. An asssertion ensures that `weights_offset` is a multiple of 16k. The offset in à `mmap` syscall needs to be a multiple of the page size though, causing this mmap to fail on kernels with 64k pages but not on 4k pages.
https://githu... | true |
2,809,368,895 | Kw argument `requires_grad` may not necessary in `torch.randint()`, `torch.randint_like()`, `torch.randperm()` | ILCSFNO | closed | [
"triaged",
"module: random"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
The docs of [`torch.randint()`](https://pytorch.org/docs/stable/generated/torch.randint.html#torch-randint), [`torch.randint_like()`](https://pytorch.org/docs/stable/generated/torch.randint_like.html#torch-randint-like), [`torch.randperm()`](https://pytorch.org/docs/stable/generated/torch.randp... | true |
2,809,352,899 | ROCm+gcc 15 asserts | trixirt | open | [
"module: rocm",
"triaged"
] | 10 | NONE | ### 🐛 Describe the bug
Fedora 42 will have gcc 15.
Gcc 15's libstdc++ asserts in multiple places in the ROCm build.
The errors look like this
/usr/lib/gcc/x86_64-redhat-linux/15/../../../../include/c++/15/array:210:2: error: reference to __host__ function '__glibcxx_assert_fail' in __host__ __device__ function
210... | true |
2,809,342,200 | Kw argument `dtype` less relative with the functions themselves | ILCSFNO | closed | [
"triaged",
"module: random",
"module: edge cases"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
The docs of [`torch.randint()`](https://pytorch.org/docs/stable/generated/torch.randint.html#torch-randint), [`torch.randint_like()`](https://pytorch.org/docs/stable/generated/torch.randint_like.html#torch-randint-like), [`torch.randperm()`](https://pytorch.org/docs/stable/generated/torch.randp... | true |
2,809,298,473 | [BE][CI] bump ruff to 0.9.8 | XuehaiPan | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 20 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145606
* #144546
| true |
2,809,243,357 | WIP error_prop sc | IvanKobzarev | closed | [
"Stale",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145605
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,809,214,360 | `torch.ops.aten.copy` causes SIGSEGV when handling sparse CSR tensors with invalid metadata | WLFJ | open | [
"module: sparse",
"module: crash",
"triaged"
] | 2 | NONE | ### 🐛 Describe the bug
Using torch.ops.aten.copy with sparse CSR tensors can cause a segmentation fault (SIGSEGV). The issue appears to stem from a lack of validation for the sparse tensor metadata (crow_indices, col_indices, and values). When the metadata contains invalid or uninitialized data (e.g., due to torch.ra... | true |
2,809,193,129 | [dynamo] refactor dynamo__custom_eval_frame to C++, refactor SKIP_CODE[_RECURSIVE] | williamwen42 | closed | [
"Merged",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 2 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146355
* __->__ #145603
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,809,044,809 | [ATen][CUDA][Transformers] Add Blackwell support to SDPA | Aidyn-A | closed | [
"module: cuda",
"open source",
"Merged",
"ciflow/trunk",
"topic: new features",
"topic: not user facing",
"module: core aten"
] | 4 | COLLABORATOR | This PR adds sm_100 and sm_120 archs to support SDPA (Flash Attention and Memory Efficient Attention) on Blackwell machines.
Special thanks to @Fuzzkatt for co-authoring these changes!
cc @ptrblck @msaroufim @eqy @manuelcandales @SherlockNoMad @angelayi @drisspg | true |
2,809,028,303 | Dmonakhov/mpi backend enablement | dmitry-monakhov | closed | [
"module: rocm",
"release notes: quantization",
"release notes: releng",
"fx",
"module: inductor",
"module: dynamo"
] | 2 | NONE | Pr should consists of two commits
- 8582d202b7 Switch to custom MPI aware build image
Switch to custom MPI aware build image
Major change: switch from pytorch/manylinux-builder to pytorch/manylinux2_28-builder
But pytorch/manylinux2_28-builder is now standard for mainline pytorch, we should be saf... | true |
2,808,964,522 | Add device support for chunk_cat, all_gather_copy_in, and split_with_… | chen8491 | closed | [
"oncall: distributed",
"triaged",
"open source",
"ciflow/trunk",
"release notes: distributed (fsdp)"
] | 5 | NONE | …sizes_copy in _fsdp_collectives.py
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,808,953,599 | [NFC] Fix some minor typos. | c8ef | closed | [
"oncall: distributed",
"oncall: jit",
"open source",
"Merged",
"release notes: jit",
"topic: not user facing",
"module: inductor"
] | 4 | CONTRIBUTOR | cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @EikanWang @jgong5 @wenzhe-nrv @sanchitintel @voznesenskym @penguinwu @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov | true |
2,808,923,715 | add scalar inputs with out causes error in torch.compile | jthakurH | open | [
"triaged",
"oncall: pt2",
"module: decompositions",
"module: aotdispatch",
"module: pt2-dispatcher"
] | 1 | NONE | ### 🐛 Describe the bug
```
import torch
def add_fn(params):
res = torch.add(**params)
return res
if __name__ == "__main__":
add_fn = torch.compile(add_fn)
params = {'other': 1.1, 'alpha': 0.4, 'input': 2, 'out': torch.tensor(1.)}
res = add_fn(params)
print(res)
```
It cases below error:
```
E... | true |
2,808,916,693 | Add `torch._foreach_copy_` doc | zeshengzong | closed | [
"triaged",
"open source",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Fixes #107162 #145355
Add docs for `torch._foreach_copy_`
**Test Result**
cc @janeyx99
| true |
2,808,831,401 | [Dynamo] compile torch.logit with different data types | leslie-fang-intel | open | [
"triaged",
"oncall: pt2",
"module: dynamic shapes"
] | 2 | COLLABORATOR | ### 🐛 Describe the bug
When fixing https://github.com/pytorch/pytorch/issues/145379, I met a failure which seems related to dynamo. If test with `torch.float64`, below example works well. However, it fails with `torch.float32` with error
```
File "/home/leslie/community/pytorch/torch/_dynamo/variables/builder.py", ... | true |
2,808,775,174 | [micro_pipeline_tp] support pattern matching row-wise scaled_mm with sharded scale | yifuwang | open | [
"oncall: distributed",
"open source",
"Stale",
"release notes: distributed (pipeline)",
"module: inductor",
"ciflow/inductor"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145595
* #145594
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf2... | true |
2,808,775,073 | [micro_pipeline_tp] add logging for all-gather-matmul fusion | yifuwang | open | [
"open source",
"Stale",
"module: inductor",
"ciflow/inductor"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* (to be filled)
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov | true |
2,808,614,012 | Fix constants with non-functional operators | tugsbayasgalan | closed | [
"Merged",
"ciflow/trunk",
"fx",
"ciflow/inductor",
"release notes: export"
] | 12 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145593
Previously, in non-strict path, we always error when trying to inplace update a constant tensor because those constant tensors are not actually wrapped by functional tensors. This is correct behaviour in torch.compile, be... | true |
2,808,612,495 | _pickle.UnpicklingError: invalid load key, ''. | sankexin | open | [
"oncall: distributed",
"triaged"
] | 1 | NONE | ### 🐛 Describe the bug
`import pickle
import torch
import io
_pickler = pickle.Pickler
_unpickler = pickle.Unpickler
tensor = torch.tensor([126, 188, 133, 30, 60, 138, 188], dtype=torch.uint8)
buf = tensor.numpy().tobytes()[:3]
_unpickler(io.BytesIO(buf)).load()`
tobytes is error:
[rank14]: File "/usr/local/l... | true |
2,808,595,587 | [CCA] remove TODO for hardware_destructive_interference_size | 1274085042 | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 12 | CONTRIBUTOR | @zyan0 @albanD @houseroad
| true |
2,808,593,345 | [dynamo][benchmarks] Stop benchmarking compile time of dead code | xmfan | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 5 | MEMBER | FIXES https://github.com/pytorch/pytorch/issues/144775 frfr
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145590
See details on the problem: https://github.com/pytorch/pytorch/issues/144775#issuecomment-2611699385
We fixed some silent incorrectness, but it results in less... | true |
2,808,564,725 | Open up PT UTs to cover additional devices | ankurneog | open | [
"triaged",
"open source",
"Stale",
"topic: not user facing",
"module: inductor"
] | 15 | CONTRIBUTOR | This is follow-up of https://github.com/pytorch/pytorch/pull/128584. Covering additional files for execution.
Based on the discussion we further had with the reviewers it is decided to remove ```onlyNativeDeviceTypes``` decorator to open these up for all devices.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @... | true |
2,808,546,403 | [Custom Ops] Add a new API to allow users to register an autocast for the custom op | yanboliang | closed | [
"module: custom-operators",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145673
* __->__ #145588
Fixes #137033
| true |
2,808,480,832 | [dynamo] mark_dynamic not working as intended with input shapes | shreyansh26 | closed | [
"triaged",
"oncall: pt2",
"module: dynamic shapes",
"module: aotdispatch"
] | 3 | NONE | ### 🐛 Describe the bug
```python
import torch
def fn(a, b):
return a.shape[0] * a * b
arg1 = torch.randn(4, 3)
torch._dynamo.mark_dynamic(arg1, 0, min=2, max=10)
compiled_fn = torch.compile(fn)
out = compiled_fn(arg1, torch.randn(4, 3))
new_arg1 = torch.randn(8, 3)
out = compiled_fn(new_arg1, torch.randn(8, 3... | true |
2,808,430,027 | Revert "[compiled autograd] support Tensor Subclasses in AOTBackward (#144115)" | zou3519 | closed | [
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"module: compiled autograd"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* (to be filled)
This reverts commit 082c28c3c655984ce65c13336cff822db95ee470.
Reverted https://github.com/pytorch/pytorch/pull/144115 on behalf of https://github.com/izaitsevfb due to breaking internal tests T213390054 ([comment](https://git... | true |
2,808,429,978 | Revert "[compiled_autograd] Rename interface to pyinterface (#145495)" | zou3519 | closed | [] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* (to be filled)
This reverts commit e1407f5aeb658c8c959d33158f465e975799a3d0.
Reverted https://github.com/pytorch/pytorch/pull/145495 on behalf of https://github.com/izaitsevfb due to reverted internally ([comment](https://github.com/pytorch... | true |
2,808,421,962 | layer_norm_kernel.cu eliminate the need for divisions for default vector size | doru1004 | closed | [
"module: rocm",
"triaged",
"open source",
"Stale",
"release notes: cuda",
"ciflow/rocm"
] | 4 | CONTRIBUTOR | Eliminate the need for divisions in layernorm for default vector size.
The divisions performed in the online sum section can be replaced with immediate values as the vector size used is always 4. We special case this and leave the alternative in place in case other vector sizes are to be explored in the future.
F... | true |
2,808,366,233 | [inductor][4/N] triton support post-#5512, fix constexpr signatures | davidberard98 | closed | [
"Merged",
"ciflow/trunk",
"topic: bug fixes",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145515
* __->__ #145583
Prior to this PR, constexprs were appearing in signatures as `{.. "XBLOCK : tl.constexpr": "constexpr"}` when they really should appear as `{.. "XBLOCK": "constexpr"}`.
This PR represents the argument names as Ar... | true |
2,808,364,301 | [CD] Fix slim-wheel cuda_nvrtc import problem | atalman | closed | [
"module: binaries",
"Merged",
"topic: not user facing",
"ciflow/binaries_wheel",
"topic: binaries"
] | 5 | CONTRIBUTOR | Similar fix as: https://github.com/pytorch/pytorch/pull/144816
Fixes: https://github.com/pytorch/pytorch/issues/145580
Found during testing of https://github.com/pytorch/pytorch/issues/138340
Please note both nvrtc and nvjitlink exist for cuda 11.8, 12.4 and 12.6 hence we can safely remove if statement. Preloa... | true |
2,808,362,403 | [MPS][BE] Implement bilineard2d as shader | malfet | closed | [
"Merged",
"topic: improvements",
"release notes: mps",
"ciflow/mps"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145581
That significantly improves performance and addresses correctness problem(to an extend permitted by reducing precision of scale factor computation to float32). uint8 scaling algorithm mimics CPU/Pillow implementation
https... | true |
2,808,360,780 | torch crashes on ubuntu:24.04 during SDPA-CuDNN test | atalman | closed | [
"module: cudnn",
"triaged",
"module: sdpa"
] | 2 | CONTRIBUTOR | ### 🐛 Describe the bug
Please see issue: https://github.com/pytorch/pytorch/issues/138340 this happens with cu118, cu124 and cu126 binaries
Test:
```
import torch
import torch.nn as nn
import torch.nn.functional as F
from dataclasses import dataclass
from torch.nn.attention import bias, sdpa_kernel, SDPBackend
@da... | true |
2,808,341,937 | Spruce up docs for emulate_precision_casts | ezyang | 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):
* __->__ #145579
Signed-off-by: Edward Z. Yang <ezyang@meta.com>
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPepple... | true |
2,808,324,103 | [MPS][BE] Turn `bicubic2d` into generic metal template | malfet | closed | [
"Merged",
"topic: not user facing",
"release notes: mps",
"ciflow/mps"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145581
* __->__ #145578
In preparation for more metal shaders to come | true |
2,808,316,857 | [inductor] Fix duplicate detection in _dynamic_scale_rblock | jansel | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #142295
* #145671
* __->__ #145577
* #142026
Before this the code was doing nothing because Config doesn't define `__hash__` or `__eq__` (so it was based on object id).
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @Xiaobi... | true |
2,808,298,623 | [Inductor][CPP] fix torch logit decomposition | leslie-fang-intel | 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):
* __->__ #145576
**Summary**
Fix issue https://github.com/pytorch/pytorch/issues/145379, current decomposition using `self = torch.clamp(self, lo, hi)` which gives wrong result when `lo` is larger than `hi` comparing to eager implementat... | true |
2,808,297,040 | [inductor][3/N] triton support post-#5512, tt.divisibility format | davidberard98 | closed | [
"Merged",
"ciflow/trunk",
"topic: bug fixes",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 8 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145515
* #145583
* __->__ #145575
1. Fix the tt.divisibility format in hints.py. Previously, it was `{((0,), (1,)): [["tt.divisibility", 16]]}`. Now it is `{(0,): [["tt.divisibility", 16]], (1,): [["tt.divisibility", 16]]}`. This was an ov... | true |
2,808,291,099 | [compile / strict export] torch._dynamo.exc.Unsupported: CollectiveFunctionRewriteVariable can't support async_op=True for <function all_reduce at 0x7f40be5724d0> | henrylhtsang | open | [
"oncall: pt2",
"export-triaged",
"oncall: export"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
Ran into this problem when trying all reduce with async op
```
import logging
import os
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
from torch.export import export
def run(rank, size):
mod = Foo()
inps = (torch.randn(4, 4),)
mod(*inps)
# ... | true |
2,808,288,498 | [inductor/profiler] add kernel kwargs instrumentation | briancoutinho | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 20 | CONTRIBUTOR | ## About
As above, record the kernel launch kwargs. These tends to be contexpr arguments to triton kernels like block size etc.
## Test program
Note, install triton before proceeding (pip install triton)
triton_test.py>>>
```
import torch
from torch.profiler import profile, ProfilerActivity
def foo(x,... | true |
2,808,272,775 | [BE] mv test/inductor_skips/* to test/inductor_expected_failures/ | masnesral | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145572
Summary: I think skipping these tests is suboptimal. If we categorize as expected failures, then we'll see test failures when they start passing, which means they're more likely to be removed. As a skip, they quietly continue ... | true |
2,808,262,045 | [BE] Automate update stable_cuda version so that we can set it when introducing new cuda version | atalman | closed | [
"module: cuda",
"module: ci",
"triaged",
"topic: binaries"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
Currently We pin stable cuda version here :
https://github.com/pytorch/pytorch/blob/main/.github/scripts/generate_binary_build_matrix.py#L419
https://github.com/pytorch/pytorch/blob/main/.github/scripts/generate_binary_build_matrix.py#L376
https://github.com/pytorch/pytorch/blob/main/.github/wo... | true |
2,808,250,448 | Enable CUDA 12.8.0, Disable CUDA 12.4 | tinglvv | open | [
"module: cuda",
"triaged"
] | 13 | COLLABORATOR | ### 🚀 The feature, motivation and pitch
CUDA 12.8.0 is out, adding to CI/CD.
Docker Images & Windows AMI Update
- [x] https://github.com/pytorch/pytorch/pull/145567
- [x] https://github.com/pytorch/pytorch/pull/145789
- [x] Magma build - https://github.com/pytorch/pytorch/pull/145765
- [x] https://github.com/pytorc... | true |
2,808,245,753 | [aotinductor] update unbacked symint runtime assertion msg | ColinPeppler | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145569
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @amjames @desertfire @chauhang @aakhundov | true |
2,808,244,087 | [mps] Hoist erfinv logic out of the kernel in preparation for moving. | dcci | closed | [
"Merged",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor"
] | 4 | MEMBER | Will be used in inductor.
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov | true |
2,808,240,467 | Add CUDA 12.8 installation and manylinux-cuda12.8 | tinglvv | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 19 | COLLABORATOR | Breaking https://github.com/pytorch/pytorch/pull/145557 into two parts.
Need to have manylinux-cuda12.8 in order to build magma.
Issue: https://github.com/pytorch/pytorch/issues/145570
cc @atalman @malfet @ptrblck @nWEIdia
| true |
2,808,233,453 | Advance docker release latest verison to cuda 12.4 | atalman | closed | [
"Merged",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Fixed latest tag in ghcr.io to be cuda 12.4 docker image. Todo, Need to add it to : https://github.com/pytorch/builder/blob/main/CUDA_UPGRADE_GUIDE.MD
Will need to check if we can automate this by introducing cuda_stable variable or something like this. | true |
2,808,233,357 | Refactor fuzzer and add support for Dynamo | exclamaforte | closed | [
"Merged",
"ciflow/trunk",
"topic: improvements",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 16 | CONTRIBUTOR | ## Summary:
Dynamo now works with config fuzzer.
For BE week, we also found and fixed 5 different bugs (in inductor):
- https://github.com/pytorch/pytorch/pull/145426
- https://github.com/pytorch/pytorch/pull/145523
- https://github.com/pytorch/pytorch/pull/145527
- https://github.com/pytorch/pytorch/pull/14553... | true |
2,808,233,008 | [dynamo] Dynamo doesn't prune dead input cell object | StrongerXi | closed | [
"triaged",
"oncall: pt2",
"dynamo-triage-jan2025"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
As title. This is a minimal repro for something @yifuwang ran into.
```python
import torch
@torch.compile(fullgraph=True, backend="eager")
def f(x):
x = x.cos()
def inner():
return x.sin()
return inner()
f(torch.ones(10))
```
Running the above with `TORCH_LOGS="graph_cod... | true |
2,808,202,573 | Unable to build pytorch after #143806 | zou3519 | closed | [
"module: ci",
"module: tests",
"triaged",
"module: infra",
"module: testing"
] | 2 | CONTRIBUTOR | cc @seemethere @malfet @pytorch/pytorch-dev-infra @mruberry @ZainRizvi @cyyever @kwen2501
Getting the following build error after #143806
```
/home/rzou/dev/ocu11/pt-ocu11/torch/csrc/distributed/c10d/FileStore.cpp:103:9: error: ‘c10d::{anonymous}::L
ock& c10d::{anonymous}::Lock::operator=(const c10d::{anonymous}::L... | true |
2,808,201,571 | [Not for land] hacking up mx | drisspg | closed | [
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145562
https://www.internalfb.com/intern/paste/P1717686991/
| true |
2,808,199,250 | Confusing as_storage_and_layout(x, want_contiguous=True) behavior | eellison | closed | [
"triaged",
"oncall: pt2",
"module: inductor",
"internal ramp-up task"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
The following two invocations are not equivalent:
```
x = ExternKernel.require_contiguous(x)
storage, old_layout = as_storage_and_layout(x, want_contiguous=True)
```
and
```
x = ExternKernel.realize_input(x)
storage, old_layout = as_storage_and_layout(x, want_contiguous=True)
```
This is beca... | true |
2,808,191,048 | Error `RuntimeError: CUDA error: no kernel image is available for execution on the device` when doing `!=` operation on Jetson orin agx. | nickeisenberg | open | [
"module: cuda",
"triaged"
] | 2 | NONE | ### 🐛 Describe the bug
I am using Jetpack 6.2 with cuda12.4 on a Jetson orin agx developer kit. I am able to put tensors to the device, but for some reason I am getting an error when trying to do the `!=` operation.
I am using python 3.11 and I installed torch with the following
```bash
pip3 install --pre torch --i... | true |
2,808,167,068 | [dynamo][builtin-skipfile-cleanup] Remove collections | anijain2305 | closed | [
"Stale",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"keep-going"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145559
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,808,165,711 | [dynamo][builtin-skipfile-cleanup] Support tuple.__new__ | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145559
* #145753
* #145744
* #145723
* __->__ #145558
* #145547
* #145519
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,808,164,601 | Add CUDA 12.8 installation and Linux CD Docker images | tinglvv | closed | [
"triaged",
"open source",
"topic: not user facing"
] | 4 | COLLABORATOR | Add CUDA 12.8 installation script
Add Magma for CUDA 12.8
Add to Linux sbsa/x86 manywheel and libtorch Dockers
TODO: Cudnn Update to 9.7.0 once it is available
| true |
2,808,122,439 | Docs fonts are bold on Mac, in 2.7 | ad8e | closed | [
"module: docs",
"triaged"
] | 2 | CONTRIBUTOR | ### 📚 The doc issue
Fonts have changed. The all-bold is a bit distracting.
Fonts look normal on Linux and on 2.5, but are bold on Mac + 2.7.
The blue highlight demonstrates the active font associated to the text.
Firefox Macbook, Stable (2.5):
<img width="1393" alt="Image" src="https://github.com/user-attachments/... | true |
2,808,112,142 | need to document `FlopCounterMode` | stas00 | open | [
"module: docs",
"triaged"
] | 1 | CONTRIBUTOR | ### 📚 The doc issue
`FlopCounterMode` as demo'ed here https://gist.github.com/Chillee/07b36672a0ca2d1280e42b8d10f23174 needs to be documented please.
And thank you!
cc: @Chillee
cc @svekars @brycebortree @sekyondaMeta @AlannaBurke | true |
2,808,108,991 | Fix dynamo use of `list[int]` in graph break | aorenste | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | This reintroduces the change backed out by #145393 and fixes the underlying problem.
Although using a BuiltinVariable was better than nothing when we saw a GenericAlias it had problems if there was a graph break and we had to reconstruct the original python code which BuiltinVariable did as a simple `list` instead o... | true |
2,808,108,850 | Fix call to create_load_global | aorenste | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | There is no version of create_load_global() that takes three parameters - any use of this function will fail. I think this is probably the correct fix.
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145554
* __->__ #145553
* #145552
* #145551
cc @voznesenskym @penguinwu @Ei... | true |
2,808,108,744 | Turn on mypy for _dynamo/variables/builtin.py | aorenste | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | The fact that mypy errors were ignored was hiding several bugs in builtin.py (for example the previous diff's incorrect override and use of `call_getattr`)
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145554
* #145553
* __->__ #145552
* #145551
cc @H-Huang @awgu @kwen2501... | true |
2,808,108,654 | Remove incorrect BuiltinVariable.call_hasattr() | aorenste | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 9 | CONTRIBUTOR | BuiltinVariable.call_hasattr() overrides the base class - but actually behaves differently. The base is `obj.call_hasattr(tx, attr)` but BuiltinVariable's version is `<unused>.call_hasattr(tx, obj, attr)`.
The BuiltinVariable version is used as a pattern from `call_self_handler()` for `BuiltinVariable(hasattr)`. I t... | true |
2,808,108,488 | If mypy fails it should report the error back to lintrunner | aorenste | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 5 | CONTRIBUTOR | This happened to me because I had a bad LD_LIBRARY_PATH and mypy was failing to run (.so load error) - but lintrunner was silent about the underlying problem.
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145554
* #145553
* #145552
* #145551
* __->__ #145550
Differential Revi... | true |
2,808,093,389 | [ca] add test_reset for 2.6 release validation | xmfan | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 21 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145549
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov | true |
2,808,069,509 | fix unbacked + view incorrectness | eellison | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 22 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145548
fix for https://github.com/pytorch/pytorch/issues/143498
We were incorrectly using contiguous strides for a non-contiguous tensor. There are two separate causes:
1. https://github.com/pytorch/pytorch/pull/110520 made i... | true |
2,808,044,805 | [dynamo][refactor] Move collections.namedtuple out of SkipFunctionVariable | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145559
* #145558
* __->__ #145547
* #145519
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,808,035,320 | Testing #144594 | huydhn | closed | [
"module: rocm",
"release notes: releng",
"module: dynamo",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Run perf benchmark to test https://github.com/pytorch/pytorch/pull/144594. The commit on top is https://github.com/pytorch/pytorch/pull/145546/commits/a05e0ecee5c92d207fb509e25532a2a9635a3bb7
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd @vozn... | true |
2,808,035,160 | [cutlass backend tests] Manually clear cache, test more tests in fbcode and limit configs in some tests | henrylhtsang | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 8 | CONTRIBUTOR | Summary:
Manually clear cache:
You want to clear cache in most tests. Otherwise link command won't work and you have multiple .o files and you get something like `ld.lld: error: duplicate symbol: cuda_fused_0`.
test more tests in fbcode:
A few tests have been skipping in fbcode. Unskip them.
limit configs in some tes... | true |
2,808,020,092 | [RFC] Cuda support matrix for Release 2.7 | atalman | closed | [
"oncall: releng",
"triaged"
] | 13 | CONTRIBUTOR | Similar to : https://github.com/pytorch/pytorch/issues/138609
Opening this RFC to discuss CUDA version support for future PyTorch release 2.7:
Migration to CUDA 12.8 is planned for PyTorch Release 2.7.
Option 1 - CUDA 11.8 and CUDA 12.6 and 12.8
CUDA 11.8, CUDNN 9.1.0.70 - Same as Previous Release 2.6. No changes to... | true |
2,808,011,083 | Testing #144594 | huydhn | closed | [
"module: rocm",
"release notes: releng",
"module: dynamo",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Run perf benchmark on ROCm to test https://github.com/pytorch/pytorch/pull/144594, the commit on top of that PR is https://github.com/pytorch/pytorch/pull/145546/commits/a05e0ecee5c92d207fb509e25532a2a9635a3bb7
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang ... | true |
2,807,995,198 | [BE] Type annotate wrapper_benchmark.py and cuda_combined_scheduling.py | BoyuanFeng | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov | true |
2,807,991,618 | Add sm10a to cpp extensions | drisspg | closed | [
"module: cpp-extensions",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145541
cc @malfet @zou3519 @xmfan | true |
2,807,990,919 | [BE][hop] make it easier to use speculate_subgraph | ydwu4 | closed | [
"Stale",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145540
Previously, it's tricky to construct the required inputs for speculate_subgraph as discussed in https://github.com/pytorch/pytorch/issues/144805 because we have to program against variable trackers. This PR turns speculat... | true |
2,807,989,092 | Add accuracy issue support in AOTI Minifier | yushangdi | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"release notes: export"
] | 6 | CONTRIBUTOR | Summary:
Add three more repro levels for AOTI minifier (level 2 already exists). They are the same as the existing dynamo minifier repro levels.
Now AOTI minifier can minify and repro programs that have numerical accuracy issues as well.
1: Dumps the original graph out to repro.py if compilation fails
2: Du... | true |
2,807,977,586 | Make sure not using cpp wrapper when setting nvtx training annotation | exclamaforte | closed | [
"Merged",
"ciflow/trunk",
"topic: bug fixes",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 9 | CONTRIBUTOR | Longer term would be good to add as a feature to cpp_wrapper, but this makes sure it doesn't fail on main.
Not sure if this needs a test because it's not meant to compose, but will add one if necessary.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiay... | true |
2,807,971,539 | [dynamo] Properly model torch profiler context objects | StrongerXi | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"keep-going"
] | 8 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145537
Prior to this patch, Dynamo conveniently modelled torch profiler context
objects (e.g., `torch.profiler.profile`) as `NullContextVariable`
because `torch.compile` ignore the effect of these profiler contexts.
However, the sem... | true |
2,807,965,148 | Removes threadfence from topk kernel to improve AMD performance | ngimel | closed | [
"Merged",
"ciflow/trunk",
"release notes: cuda"
] | 5 | COLLABORATOR | Also marginally improves cuda perf
| true |
2,807,959,086 | [BE/mps] Mark input args as `constant` to prevent incorrect usage. | dcci | closed | [
"Merged",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor"
] | 3 | MEMBER |
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov | true |
2,807,951,420 | Increase the number of perf benchmark shards | huydhn | closed | [
"Merged",
"topic: not user facing",
"test-config/default"
] | 7 | CONTRIBUTOR | Per the discussion on https://github.com/pytorch/pytorch/issues/140332#issuecomment-2610805551, this adds 2 more shards for HF, 2 more for TorchBench, and 1 more for TIMM.
| true |
2,807,919,138 | Remove det_singular OpInfo | soulitzer | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 8 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145399
* __->__ #145533
* #145531
* #145520
Fixes https://github.com/pytorch/pytorch/issues/93045 https://github.com/pytorch/pytorch/issues/93044
From previous discussion https://github.com/pytorch/pytorch/issues/93045#issuecomment-1477... | true |
2,807,909,472 | Make sure that benchmark_harness is set before running | exclamaforte | closed | [
"Merged",
"ciflow/trunk",
"topic: bug fixes",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 3 | CONTRIBUTOR | Running torch compile with these options causes an error, because the benchmark code isn't generated but is still called.
```
options={'profile_bandwidth_output': 'foo', 'benchmark_harness': False}
```
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jia... | true |
2,807,895,111 | Disable slow gradcheck for nn.Transformer ModuleInfo | soulitzer | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145399
* #145533
* __->__ #145531
* #145520
Fixes https://github.com/pytorch/pytorch/issues/117140
| true |
2,807,891,041 | Work around buggy use_const_ref_for_mutable_tensors | ezyang | closed | [
"Merged",
"ciflow/trunk",
"release notes: python_frontend",
"topic: bug fixes"
] | 13 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145080
* __->__ #145530
See https://github.com/pytorch/pytorch/issues/145522 for context
This doesn't fix the problem with use_const_ref_for_mutable_tensors and the boxed wrapper, instead it just gets all of our out kernels off of this ... | true |
2,807,890,661 | Module.to() fail in dynamo when swap_module_params_on_conversion is true | shunting314 | open | [
"triaged",
"oncall: pt2",
"module: dynamo"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
Repro:
```
import torch
from torch import nn
torch.__future__.set_swap_module_params_on_conversion(True)
@torch.compile
def use_emb():
emb = nn.Embedding(16, 8)
emb.weight.grad = torch.randn_like(emb.weight)
emb.to(dtype=torch.bfloat16)
# emb.weight.to(dtype=torch.bfloat16)
... | true |
2,807,886,424 | [utils] add try_import method for importing optional modules | mhorowitz | closed | [
"Merged",
"topic: not user facing"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #143360
* __->__ #145528
| true |
2,807,881,984 | fix intermediate debug information with cpp_wrapper | exclamaforte | closed | [
"Merged",
"ciflow/trunk",
"topic: bug fixes",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 21 | CONTRIBUTOR | Summary: before fix, code like:
```cpp
aoti_torch_print_tensor_handle(buf0, "after_launch - triton_poi_fused_randn_0 - buf0");
aoti_torch_print_tensor_handle(buf1, "after_launch - triton_poi_fused_randn_0 - buf1");
printf("[ after_launch - triton_poi_fused_randn_0 - 0: %ld ]", 0); printf("
");
p... | true |
2,807,880,779 | [MPS] Add bilineard2d_aa implementation | malfet | closed | [
"Merged",
"topic: improvements",
"release notes: mps",
"ciflow/mps"
] | 5 | CONTRIBUTOR | Interesting quirk of the algorithm, that is not very well documented, is that value of align_corners is ignored in antialias mode, see arguments of
https://github.com/pytorch/pytorch/blob/e8304f08fedc802a90f9361c30861f8c5aab946e/aten/src/ATen/native/cpu/UpSampleKernel.cpp#L747-L751
Error out on uint8 implementatio... | true |
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