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 |
|---|---|---|---|---|---|---|---|---|
2,862,008,409 | [dynamo] add generic graph break hints | williamwen42 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"module: compile ux"
] | 3 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147912
* #147872
* #147494
* __->__ #147429
* #147385
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,861,981,242 | Add a config to allow print and generate all recompile reasons and not stop at first. | laithsakka | open | [
"triaged",
"oncall: pt2",
"module: dynamo",
"dynamo-triage-jan2025",
"module: compile ux"
] | 3 | CONTRIBUTOR | cc @chauhang @penguinwu @voznesenskym @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @amjames | true |
2,861,979,964 | [draft_export] only clear pending unbacked symbols for overwritten kernels | pianpwk | closed | [
"Merged",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export"
] | 7 | CONTRIBUTOR | This was wrong, we were doing this in all cases | true |
2,861,967,356 | DISABLED test_complex_data_dependent_expr (__main__.TestDraftExport) | pytorch-bot[bot] | closed | [
"module: flaky-tests",
"skipped",
"oncall: pt2",
"oncall: export"
] | 18 | NONE | Platforms: asan, linux, rocm, slow, win, windows
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_complex_data_dependent_expr&suite=TestDraftExport&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/3742315... | true |
2,861,962,998 | [dynamo][codegen] Implement CSE for pre-graph graph-arg bytecode reconstruction | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 7 | CONTRIBUTOR | This reduces fixed overhead seen in a few internal models.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,861,958,227 | To enable NCCL communication to support uint64 tensors | wynneyin | open | [
"triaged",
"open source",
"topic: not user facing"
] | 5 | NONE | In the field of cryptography and privacy computing, is crucial. During our work with PyTorch, we discovered that NCCL communication does not support . Therefore, in this modification, we have enabled NCCL to support tensor types.
| true |
2,861,923,950 | [audio hash update] update the pinned audio hash | pytorchupdatebot | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 6 | COLLABORATOR | This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned audio hash. | true |
2,861,923,740 | [executorch hash update] update the pinned executorch hash | pytorchupdatebot | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 71 | COLLABORATOR | This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned executorch hash. | true |
2,861,914,648 | type `fully_shard` so that the return value can be chained with typing enabled | xunnanxu | closed | [
"oncall: distributed",
"release notes: distributed (fsdp)",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147421
* #147420
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,861,914,583 | capture the return value in the contract typing | xunnanxu | closed | [
"oncall: distributed",
"ciflow/trunk",
"release notes: distributed (fsdp2)"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147421
* __->__ #147420
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o
Differential Revision: [D69820400](https://our.internmc.facebook.com/intern/diff/D69820400) | true |
2,861,897,282 | no opt - vanila _copy only | sevenEng | closed | [
"fb-exported",
"release notes: cuda"
] | 3 | NONE | Summary:
Remove current optimisation from prod, to measure the baseline with `_copy` each tensor in a serial fashion, and the lift from current optimization
Noticed that current optimization is gated by dimension size check (<=4), we can see when dimension size (>=5), prod behaviour degrades to baseline
Test Plan:
##... | true |
2,861,893,965 | Add cmake hints to USE_SYSTEM_NVTX for nvtx3 include dir | xwang233 | closed | [
"open source",
"Merged",
"ciflow/binaries",
"ciflow/trunk",
"release notes: build",
"topic: build"
] | 11 | COLLABORATOR | per title
sometimes, it's hard for cmake to find NVTX3 without the cuda include path hint | true |
2,861,872,275 | more dist ops in non strict | avikchaudhuri | closed | [
"oncall: distributed",
"fb-exported",
"Merged",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export"
] | 7 | CONTRIBUTOR | Summary: Previously we added support for `all_reduce` to non strict. This PR extends this support to other non-functional collectives that are remapped in Dynamo: `all_gather`, `all_gather_into_tensor`, `all_to_all_single`, `reduce_scatter_tensor`.
Test Plan: added unit tests
Differential Revision: D69813991
cc @H-... | true |
2,861,859,188 | [Triton][Inductor] Infer Boolean Types | csteegz | open | [
"fb-exported",
"Stale",
"topic: not user facing",
"module: inductor"
] | 11 | NONE | Summary: PT2 compiler has issues with boolean types in wrapped functions. There is some code to try to infer if an unknown type is an i32 or i64, but that causes a failure when it tries to compare with a boolean. Add explicit tests to determine if data is `i1`.
Test Plan:
Added test to test_triton_kernels.py
I'm havi... | true |
2,861,816,256 | Disable dict_tag optimization in ancestors if the ancestor is not common | isuruf | open | [
"open source",
"Stale",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147415
* #147414
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,861,816,132 | Keep a handle to parent instead of root in GuardManagers | isuruf | open | [
"open source",
"Stale",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147415
* __->__ #147414
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,861,801,967 | [util] fetch logical count cpu | yangw-dev | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 5 | CONTRIBUTOR | To match with Vcpu count with aws:
after (96), before (48)
Instance Ref: https://instances.vantage.sh/aws/ec2/g4dn.metal
before: https://hud.pytorch.org/utilization/13377376406/37360984234/1
after: https://hud.pytorch.org/utilization/13401543806/37435031356/1 | true |
2,861,771,625 | [ROCm][TunableOp] Fix TunableOp warmup environment variable. | naromero77amd | closed | [
"module: rocm",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/rocm"
] | 3 | COLLABORATOR | This PR corrects the behavior of the TunableOp warmup variables:
```
PYTORCH_TUNABLEOP_MAX_WARMUP_DURATION_MS
PYTORCH_TUNABLEOP_MAX_WARMUP_ITERATIONS
```
See the updated comments which describe how the environment variables are intended to work. Previously, if you only set one of the two environment variables th... | true |
2,861,758,560 | [caffe2] disable warning for unused arguments | rmaz | closed | [
"module: cpu",
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: quantization"
] | 4 | CONTRIBUTOR | Summary: Disable warnings on unused command line arguments for ukernels_asm.
Test Plan:
On top of D69602077:
```
$ buck2 build --flagfile fbsource//xplat/mode/arstudio/auto.py fbsource//xplat/caffe2/aten/src/ATen/native/quantized/cpu/qnnpack:ukernels_asmAppleMac
```
Differential Revision: D69807977
cc @jgong5 @mi... | true |
2,861,730,268 | Small scheduler refactor | exclamaforte | open | [
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | - ~Simplify speedup/slowdown error message~
- Make possible fusions into a default dict
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,861,725,454 | [BE] remove sysconfig.get_config_var("LIBDIR") from cuda lib paths | henrylhtsang | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 7 | CONTRIBUTOR | Summary: I think the path is not needed anymore. It was added in https://github.com/pytorch/pytorch/pull/126408, but it has been a while since then. See if CI complains.
Differential Revision: D69573185
See also https://github.com/pytorch/pytorch/pull/147158
cc @voznesenskym @penguinwu @EikanWang @jgong5... | true |
2,861,718,042 | Validate sparse tensors constructed via legacy constructor | mikaylagawarecki | closed | [
"topic: not user facing"
] | 2 | CONTRIBUTOR | EDIT: this is not an encompassing fix because of legacy_load, will redo
provided exploit now errors with
RuntimeError: size is inconsistent with indices: for dim 0, size is 1 but found index 4702111234474983745
during torch.load
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
*... | true |
2,861,712,263 | [ONNX] Pick up missing types in dynamic shapes renaming | titaiwangms | closed | [
"open source",
"Merged",
"ciflow/trunk",
"release notes: onnx",
"topic: improvements",
"merging"
] | 12 | COLLABORATOR | Found in `_check_dynamic_shapes` that int and None type are valid inputs of dynamic_shapes.
This PR adds the support on these two types and add the tests to guard the sync of ONNX flatten logic and the one in expor.t | true |
2,861,697,219 | fix pt2e block wise quantization unit test | cccclai | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: quantization",
"topic: not user facing"
] | 4 | CONTRIBUTOR | Differential Revision: D69806596
https://github.com/pytorch/pytorch/pull/146946 breaks the unit test, because the quant nodes are folded by default now.
| true |
2,861,691,504 | dynamo should recompile with constant tensors that use ambient device guards | jamesjwu | closed | [
"triaged",
"actionable",
"oncall: pt2",
"module: aotdispatch",
"module: pt2-dispatcher",
"dynamo-must-fix"
] | 3 | CONTRIBUTOR | ### 🐛 Describe the bug
Here's a simple unit test repro:
```python
@torch.compile
def f():
y = torch.tensor([0, 1024, 2048, 3072, 4096, 5120, 6144, 7168, 8192], dtype = torch.int32, device = "cuda")
return (y,)
index = 0
with torch.cuda._DeviceGuard(device):
torch.cuda.set_device(device)
result = f... | true |
2,861,665,942 | [NOT READY][dynamo] CSE for grapharg sources | anijain2305 | closed | [
"ciflow/trunk",
"module: dynamo",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,861,626,916 | cpp_wrapper: reduce memory usage by removing unneeded temporaries | benjaminglass1 | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ciflow/rocm",
"ciflow/xpu"
] | 6 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147225
* #146706
* __->__ #147403
This PR contains a set of interrelated changes, listed below, with the upshot that compiled model memory usage in `cpp_wrapper` mode is now roughly equivalent to the default inductor mode.
Changes:
1... | true |
2,861,592,442 | [dynamic shapes][export] real-tensor tracing fails, due to bad decomposition path | pianpwk | closed | [
"oncall: pt2",
"module: dynamic shapes",
"export-triaged",
"oncall: export"
] | 2 | CONTRIBUTOR | ### 🐛 Describe the bug
Minimal repro:
```
def test_index(self):
class M(torch.nn.Module):
def forward(self, x, mask, weight, bias):
masked = x[mask != 0, :, :]
return torch.nn.functional.linear(masked, weight, bias)
x = torch.zeros(10)
inp = (torch.randn(10, 8, 7), x, ... | true |
2,861,589,994 | [ONNX] Create scaffolding for torchlib ops | justinchuby | closed | [
"module: onnx",
"open source",
"release notes: onnx",
"topic: not user facing"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147401
* #147396
* #147392
* #147391
This PR creates the scaffolding for new onnx decomp functions described in https://github.com/pytorch/pytorch/issues/139301. It adds two ops: abs and add, and enables the related tests. | true |
2,861,587,997 | torch.export doesn't provide useful error message when someone uses unrecognized dataclass as input | tugsbayasgalan | closed | [] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
```python
from dataclasses import dataclass
import torch
@dataclass
class MyStaticInput:
int_1: int
int_2: int
class Foo(torch.nn.Module):
def __init__(self):
super().__init__()
def forward(self, x, x1):
return x + x1.int_1 + x1.int_2
torch.export.expor... | true |
2,861,585,608 | [torchbind] Differentiate ScriptModule and ScriptObject with qualified name | ydwu4 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export"
] | 8 | CONTRIBUTOR | Summary:
This pr add a _is_script_object method to differentiate scriptModule and scriptObject, where the formal inherits from ScriptObject in C++ so they both passes the isinstance(obj, torch.ScriptObject) check.
The qualified name of ScriptObject (i.e. custom class) would starts with "__torch__.torch.classes", this ... | true |
2,861,581,439 | Add overflow check for large storage_offsets | wdvr | open | [
"topic: not user facing"
] | 3 | CONTRIBUTOR | Fixes #145259
This adds two overflow checks to the storage offset calculation @ `aten/src/ATen/native/Resize.h`, avoiding this to crash:
```
python3 -c "import torch; print(torch.as_strided(torch.arange(10), size=(5,), stride=(2,), storage_offset=8170450533120000000))"
```
and avoiding this to return a wrong... | true |
2,861,561,396 | torch.export needs good API for marking if certain input is constant or not. | tugsbayasgalan | closed | [
"oncall: pt2",
"export-triaged",
"oncall: export"
] | 2 | CONTRIBUTOR | ### 🐛 Describe the bug
```python
from dataclasses import dataclass
import torch
@dataclass
class MyStaticInput:
int_1: int
int_2: int
class Foo(torch.nn.Module):
def __init__(self):
super().__init__()
def forward(self, x, static):
return x + static.int_1 + static.int_2
from ... | true |
2,861,550,035 | [ONNX] Refactor dispatcher and registry | justinchuby | closed | [
"module: onnx",
"open source",
"Merged",
"ciflow/trunk",
"release notes: onnx",
"topic: not user facing"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147469
* #147392
* __->__ #147396
This PR sets up the registry to accept onnx decomp functions to be moved into PyTorch (https://github.com/pytorch/pytorch/issues/139301).
The ops from onnx script are currently appended to the registry.... | true |
2,861,527,397 | [Inductor][Triton] Rework casting logic to avoid illegal bitcast | alexbaden | closed | [
"triaged",
"open source",
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 19 | COLLABORATOR | Triton introduced checks for bitcasts where the casted value does not fit into the casted type (e.g. https://github.com/triton-lang/triton/pull/5926, though in this instance I think the issue is related to the type for the broadcast). Some routines in Inductor now perform illegal bitcasts. I reworked the compare and sw... | true |
2,861,522,988 | [ROCm] gfx940 and gfx941 cleanup | naromero77amd | closed | [
"module: rocm",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ciflow/rocm"
] | 4 | COLLABORATOR | Removing gfx architectures not supported by ROCm.
NOTE: For users wanting to build PyTorch for gfx archs that are *not* supported by the official wheels on download.pytorch.org, you can build PyTorch from source for your desired gfx arch [using the PYTORCH_ROCM_ARCH env var](https://github.com/pytorch/pytorch/blob/m... | true |
2,861,515,165 | [BE] correct docs for clock_rate to MHz, fixes #147098 | janeyx99 | closed | [
"Merged",
"ciflow/trunk",
"release notes: cuda",
"topic: docs"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147393
| true |
2,861,483,634 | [ONNX] Add scaffolding for onnx decomp and logic for op tests | justinchuby | closed | [
"module: onnx",
"open source",
"Merged",
"ciflow/trunk",
"release notes: onnx",
"topic: not user facing"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147472
* #147469
* __->__ #147392
Create scaffold for onnx op test data and common logic. This PR creates the scaffolding for new onnx decomp functions described in https://github.com/pytorch/pytorch/issues/139301. It adds two ops: abs and... | true |
2,861,483,544 | [ONNX] Move and improve error reproduction logic in test | justinchuby | closed | [
"module: onnx",
"open source",
"Merged",
"ciflow/trunk",
"release notes: onnx",
"topic: not user facing"
] | 6 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147401
* #147396
* #147392
* __->__ #147391
https://github.com/pytorch/pytorch/issues/139301
| true |
2,861,372,707 | [CD] Increase timeout for windows binary builds | atalman | closed | [
"Merged",
"ciflow/binaries",
"topic: not user facing",
"ciflow/nightly"
] | 6 | CONTRIBUTOR | Mitigates https://github.com/pytorch/pytorch/issues/147376
| true |
2,861,301,084 | Fix representation of `Lazy*` modules after loading parameters | adosar | open | [
"module: nn",
"triaged"
] | 0 | NONE | ### 🐛 Describe the bug
When a `Lazy*` module initializes its parameters by loading the state dict of another module:
```python
import torch
from torch.nn import LazyLinear
x = torch.randn(4, 4)
l1 = LazyLinear(16)
print(l1)
l1(x)
print(l1)
l2 = LazyLinear(16)
l2.load_state_dict(l1.state_dict())
print(l2)
```
the r... | true |
2,861,176,740 | Revert "Introduce new template heuristic for triton autotune configs" | jansel | closed | [
"module: rocm",
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ciflow/rocm"
] | 13 | CONTRIBUTOR | Summary:
This diff reverts D69573225 / https://github.com/pytorch/pytorch/pull/144985
15% cold compile time regression, see https://fb.workplace.com/groups/1075192433118967/permalink/1608559059782299/
Test Plan: NA
Differential Revision: D69790102
cc @jeffdaily @sunway513 @jithunnair-amd @pruthviston... | true |
2,861,174,237 | Track test count regressions | clee2000 | open | [
"triaged",
"module: devx"
] | 0 | CONTRIBUTOR | As in title, to catch bugs in sharding or if something causes many tests to be deleted (such as a change to the bash scripts that unintentionally stopped testing on mac) or added
cc @ZainRizvi @kit1980 @huydhn | true |
2,860,980,414 | Fix linter warnings | ahmadsharif1 | closed | [
"Merged",
"ciflow/trunk",
"release notes: cuda"
] | 3 | CONTRIBUTOR | https://github.com/pytorch/pytorch/pull/145866 accidentally introduced a warning about const casts and also comparison of unsigned long int with signed long int.
This PR fixes both of those warnings.
Tested by running:
```
/usr/local/cuda/bin/nvcc -forward-unknown-to-host-compiler -DAT_PER_OPERATOR_HEADERS -D... | true |
2,860,957,940 | [dynamo] make some more graph break messages readable in English [2/N] | williamwen42 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"module: compile ux"
] | 5 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147912
* #147872
* #147494
* #147429
* __->__ #147385
This is for "for some large number Z, make sure the error messages are readable English." - beginning to audit all `unimplemented` sites and making sure that all messages are at least E... | true |
2,860,946,681 | [BE] Fix tensor stub | vmoens | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147384
| true |
2,860,907,285 | [RFC] dropping CUDA 11.8 support in CI/CD | atalman | open | [
"module: build",
"module: cuda",
"triaged"
] | 1 | CONTRIBUTOR | Related to: https://github.com/pytorch/pytorch/issues/145544
Opening this RFC to discuss dropping of CUDA 11.8 possibility and timeline
For PyTorch Release 2.7 we are proceeding with following configuration:
CUDA 11.8, CUDNN 9.1.0.70 - Same as Previous Release 2.6. No changes to CUDA 11.8 - Legacy version
CUDA 12.6 C... | true |
2,860,844,623 | [ROCm][Windows] Enable torchvision build with ROCm on Windows | tvukovic-amd | closed | [
"module: rocm",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/rocm"
] | 9 | CONTRIBUTOR | - Updated HIP flags for Windows (removed non Windows flags on Windows case, added runtime library)
- Set hipcc call for Windows case
- Removed CUDA flags (not used in ROCm) on Windows
- Updated Windows compiler (added case when using ROCm on Windows)
- Fixed path issue in hipify_python
cc @jeffdaily @sunway513 @... | true |
2,860,591,659 | Miss comm.reduce_add_coalesced in communication collectives of cuda | FFFrog | closed | [
"oncall: distributed",
"module: docs"
] | 0 | COLLABORATOR | ### 📚 The doc issue
https://github.com/pytorch/pytorch/blob/0c8028e877258fd5ef34da4c8d09121cdfc0c9a6/torch/cuda/comm.py#L12-L18
### Suggest a potential alternative/fix
_No response_
cc @H-Huang @awgu @kwen2501 @wanchaol @feg... | true |
2,860,558,658 | [export] fail to export joint graph of a model with tied weights using experimental `_export_forward_backward` API | mksit | open | [
"oncall: pt2",
"export-triaged",
"oncall: export"
] | 0 | NONE | ### 🐛 Describe the bug
When using `_export_forward_backward`to export the joint graph of a model with tied weights, I've encountered the following error
```
Traceback (most recent call last):
File "/home/mankit/workspace/Chowa/test.py", line 32, in <module>
main()
File "/home/mankit/workspace/Chowa/test.py",... | true |
2,860,536,873 | Add Missing Communication collectives | FFFrog | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 11 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147379
----
- reduce_add_coalesced | true |
2,860,513,357 | [Triton upstream] [Inductor] [ROCm] HSA_STATUS_ERROR_MEMORY_APERTURE_VIOLATION on some inductor UTs | jataylo | closed | [
"module: rocm",
"triaged",
"oncall: pt2",
"upstream triton"
] | 3 | COLLABORATOR | ### 🐛 Describe the bug
Platform: ROCm
Triton commit: f73cf3268ef04d862493e0fc1cca5257f2a09346
As seen in https://github.com/pytorch/pytorch/pull/147320 when attempting to bump triton in preparation for 3.3, the latest tip of tree of triton some UTs due to some memory access issue.
Reproducer:
python test/inductor/t... | true |
2,860,506,526 | [Triton upstream] [Inductor] [ROCm] LLVM failure in some gemm kernels | jataylo | closed | [
"module: rocm",
"oncall: pt2",
"upstream triton"
] | 2 | COLLABORATOR | ### 🐛 Describe the bug
Platform: ROCm
Triton commit: f73cf3268ef04d862493e0fc1cca5257f2a09346
As seen in https://github.com/pytorch/pytorch/pull/147320 when attempting to bump triton in preparation for 3.3, the latest tip of tree of triton breaks some gemm UTs due to an LLVM error.
Reproducer:
https://gist.github.c... | true |
2,860,422,484 | Nightly Windows builds started to time out around Jan 31, 2025 | jeanschmidt | closed | [
"module: build",
"module: cuda",
"triaged"
] | 10 | CONTRIBUTOR | ### 🐛 Describe the bug
Multiple days-in-a-row nightly binary builds for windows are broken.
https://hud.pytorch.org/hud/pytorch/pytorch/nightly
### Versions
nightly
cc @malfet @seemethere @ptrblck @msaroufim @eqy | true |
2,860,281,796 | [Triton upstream] [Inductor] Widespread failures in UTs: AttributeError: 'dict' object has no attribute 'equal_to_1' | jataylo | closed | [
"triaged",
"oncall: pt2",
"upstream triton",
"oncall: export",
"module: aotinductor"
] | 8 | COLLABORATOR | ### 🐛 Describe the bug
Platform: NV and ROCm
Triton commit: f73cf3268ef04d862493e0fc1cca5257f2a09346
As seen in https://github.com/pytorch/pytorch/pull/147320 when attempting to bump triton in preparation for 3.3, the latest tip of tree of triton breaks many UTs due to some apparent API deprecation.
Reproducer:
pyt... | true |
2,860,259,448 | [ONNX] How to export triton custom kernels as custom ops? | zzq96 | closed | [
"module: onnx",
"triaged"
] | 10 | NONE | ### 🐛 Describe the bug
can't export triton cumstom op kernel when use torch.onnx.export(dynamo=True)
i have use triton_op and wrap_triton to wrap this triton kernel
```python
import torch
from torch.library import triton_op, wrap_triton
import triton
from triton import language as tl
@triton.jit
def add_kernel(
... | true |
2,860,243,002 | [Triton upstream] [Inductor] Flex attention failures `IndexError('list index out of range')` in Triton Compilation | jataylo | closed | [
"oncall: pt2",
"upstream triton"
] | 1 | COLLABORATOR | ### 🐛 Describe the bug
Platform: NV and ROCm
Triton commit: f73cf3268ef04d862493e0fc1cca5257f2a09346
As seen in https://github.com/pytorch/pytorch/pull/147320 when attempting to bump triton in preparation for 3.3, the latest tip of tree of triton breaks many flex_attention and flex_decode tests.
Repro:
`python test... | true |
2,860,177,421 | Investigate #75462 | rec | closed | [
"open source",
"topic: not user facing"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147372
* #146894
| true |
2,860,009,125 | Add HPU support to test_structured_sparsifier.py | amathewc | open | [
"triaged",
"open source",
"topic: not user facing"
] | 3 | CONTRIBUTOR | # MOTIVATION
We recently integrated support for Intel Gaudi devices (identified as 'hpu') into the common_device_type framework via the pull request at https://github.com/pytorch/pytorch/pull/126970. This integration allows tests to be automatically instantiated for Gaudi devices upon loading the relevant library. B... | true |
2,859,975,795 | Add HPU support to test_structured_sparsifier.py | amathewc | closed | [
"open source",
"topic: not user facing"
] | 2 | CONTRIBUTOR | ## MOTIVATION
We recently integrated support for Intel Gaudi devices (identified as 'hpu') into the common_device_type framework via the pull request at https://github.com/pytorch/pytorch/pull/126970. This integration allows tests to be automatically instantiated for Gaudi devices upon loading the relevant library. ... | true |
2,859,890,982 | [MPS] Implemented `masked_fill_scalar` as shader | malfet | closed | [
"Merged",
"topic: bug fixes",
"release notes: mps",
"ciflow/mps"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147369
- Move `pos_from_thread_index and `offset_from_pos` from `UnfoldBackward.metal` into `c10/metal/indexing.h` header
- Initial idea were to implement `StridedTensor` and `ConstStridedTensor` and use them to have masked_fill ke... | true |
2,859,849,318 | [Inductor][CPP] Add float16 support for CppMicroGemmAMX | CaoE | open | [
"triaged",
"open source",
"Stale",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | COLLABORATOR | Add float16 support for CppMicroGemmAMX to get better performance for float16 gemm template. Float16 CppMicroGemmAMX needs a higher version of compiler, e.g., GCC 13.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kaden... | true |
2,859,777,626 | Force build to conform C++ standard on windows by adding `/permissive-` flag | Stonepia | closed | [
"oncall: distributed",
"oncall: jit",
"module: windows",
"module: cpu",
"module: mkldnn",
"open source",
"NNC",
"release notes: jit",
"module: inductor",
"module: dynamo",
"release notes: distributed (checkpoint)",
"module: compiled autograd",
"module: xpu"
] | 26 | CONTRIBUTOR | Fixes #147366
1. Add `/permissive-` to the `torch_compile_options` for the build to conform to the C++ standard.
2. Fix the error when trying to assign a string literal to a non-const ptr.
The `/permissive-` flag can be found at https://learn.microsoft.com/en-us/cpp/build/reference/permissive-standards-conforma... | true |
2,859,772,525 | [XPU] [Win] Build error when upgrade oneAPI | Stonepia | closed | [
"triaged",
"module: xpu"
] | 2 | CONTRIBUTOR | ### 🐛 Describe the bug
When trying to upgrade oneAPI to a new internal build, we get the following error:
```
[5476/7907] Building CXX object c10\xpu\test\CMakeFiles\c10_xpu_XPUStreamTest.dir\impl\XPUStreamTest.cpp.obj
FAILED: c10/xpu/test/CMakeFiles/c10_xpu_XPUStreamTest.dir/impl/XPUStreamTest.cpp.obj
C:\PROGRA~1\M... | true |
2,859,745,354 | Replace `fw_metadata` info with trace log hint in hint message | zeshengzong | open | [
"triaged",
"open source",
"Stale",
"release notes: AO frontend"
] | 2 | CONTRIBUTOR | Fixes #147135
## Test Result
```bash
RuntimeError: Found a graph input that requires gradients, and received a mutation.
This is currently banned in the aot_export workflow. If you need this functionality,
please file a github issue and submit the trace log.
Get trace log by running with `TORCH_TRACE`:
... | true |
2,859,742,474 | windows-binary-wheel nightly error | ozanMSFT | closed | [
"module: build",
"module: windows",
"triaged"
] | 3 | COLLABORATOR | ### 🐛 Describe the bug
Build is failing with the following error:
Build Step:
> CondaError: Downloaded bytes did not match Content-Length
Upload Step:
> No files were found with the provided path: C:\actions-runner\_work\_temp/artifacts. No artifacts will be uploaded.
Error is started with `wheel-py3_10-cpu-build`... | true |
2,859,701,724 | [ROCm][TunableOp] resolve the rocBLAS version dynamically | apakbin | closed | [
"module: rocm",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"rocm",
"ciflow/rocm"
] | 14 | CONTRIBUTOR | Dynamically gets rocBLAS version instead of relying on some preprocessing-time definitions which may be stale.
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,859,697,999 | Floating point exception (core dumped) in torch.nn.functional.conv3d | qiqicliff | open | [
"module: crash",
"module: nn",
"triaged",
"module: mkldnn"
] | 4 | NONE | ### 🐛 Describe the bug
Under specific inputs, torch.nn.functional.conv3d triggered a crash.
### code
```
import torch
input_data = torch.randn(2, 3, 10, 10, 10)
weight = torch.randn(4, 3, 3, 3, 3)
bias = torch.randn(4)
output = torch.nn.functional.conv3d(input=input_data, weight=weight, bias=
bias, stride=360287... | true |
2,859,656,981 | Torch with Gunicorn + Flask API performance issue on Docker | yothinsaengs | closed | [] | 1 | NONE | I use Gunicorn as web server with flask api and I have performance issue compare with using Waitress as web server with flask
when I try to calculate matrix multiplication wth numpy there's no huge different in response time between Gunicorn and Waitress
Numpy API
---
```
@app.route('/numpy')
def _numpy():
matrix_... | true |
2,859,647,922 | [DO NOT MERGE][Inductor] Migrate from oneDNN Inner Product to oneDNN MatMul for mkldnn._linear_pointwise and mkldnn._linear_pointwise.binary | jiayisunx | open | [
"module: cpu",
"open source",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147855
* __->__ #147360
* #147073
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @voznesenskym @penguinwu @EikanWang @Guobing-Chen @zhuhaozhe @blzheng @wenzhe-nrv @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @amjam... | true |
2,859,637,505 | [DO NOT MERGE] Update submodule ideep for ideep matmul changes | jiayisunx | open | [
"module: mkldnn",
"open source",
"topic: not user facing",
"ciflow/linux-aarch64"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147855
* #147360
* __->__ #147359
* #147073
cc @gujinghui @PenghuiCheng @XiaobingSuper @jianyuh @jgong5 @mingfeima @sanchitintel @ashokei @jingxu10 @min-jean-cho @yanbing-j @Guobing-Chen @Xia-Weiwen @snadampal | true |
2,859,627,391 | Update torch-xpu-ops commit pin | xytintel | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"keep-going",
"ciflow/xpu"
] | 3 | CONTRIBUTOR | Update the torch-xpu-ops commit to [a14d1eaa834a616705068103dc8129319087e864](https://github.com/intel/torch-xpu-ops/commit/a14d1eaa834a616705068103dc8129319087e864), includes:
- SparseCSR XPU support
- Refine build system
| true |
2,859,574,488 | handle default in _NamedOptimizer | samsja | open | [
"oncall: distributed",
"triaged",
"open source",
"Stale"
] | 7 | NONE | This pr propagate the defaults field of the wrapper optimizer to the _NamedOptimizer.
This fixes a bug where torch.compile would fail when calling optimizer.zero_grad()
```bash
[rank1]: AttributeError: '_NamedOptimizer' object has no attribute 'defaults'
[rank0]: Traceback (most recent call last):
[rank0]: F... | true |
2,859,497,811 | Validate inputs to _nested_view_from_buffer to prevent overflows | mikaylagawarecki | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147356
* #147354
* #147352
| true |
2,859,478,145 | Skip FP8 op for Intel GPU | daisyden | open | [
"open source",
"Stale",
"release notes: python_frontend",
"ciflow/xpu",
"release notes: xpu"
] | 4 | NONE | Intel GPU backend does not have float8 support at present, to fulfil [RFC](https://github.com/pytorch/pytorch/issues/114850), this PR is to disable the float8 dtypes for torch.eye and torch._scaled_mm in op_db, so that the float8 test can be skipped on XPU.
| true |
2,859,457,505 | Make Tensor.set_ validate storage_offset when sizes/strides are unchanged | mikaylagawarecki | closed | [
"Merged",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"ciflow/slow",
"ci-no-td"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147356
* __->__ #147354
* #147352
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,859,224,986 | Use float data type for Half sum in fallback implementation of batchnorm backward on CPU | CaoE | closed | [
"open source",
"Merged",
"ciflow/trunk",
"release notes: nn",
"ciflow/inductor"
] | 3 | COLLABORATOR | Fixes #147303.
Use float data type for Half sum in fallback implementation of batchnorm backward on CPU as the representation range of Half is small.
| true |
2,859,213,828 | Fix overflow in checkInBoundsForStorage | mikaylagawarecki | closed | [
"Merged",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Use `computeStorageNbytes` (which checks for overflows) to include the computation re the storage_offset
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #147356
* #147354
* __->__ #147352
| true |
2,859,210,859 | [Inductor UT][XPU] Skip fft_c2c case since it's not implemented on XPU. | etaf | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"keep-going",
"ciflow/xpu"
] | 6 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147351
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,859,181,469 | Add meta function for out variants of ones,zeros,empty | cz2h | closed | [
"triaged",
"open source",
"topic: not user facing",
"module: dynamo"
] | 18 | CONTRIBUTOR | Fixes #135832
For aten.ones, aten.zeros, followed this [link](https://docs.google.com/document/d/1GgvOe7C8_NVOMLOCwDaYV1mXXyHMXY7ExoewHqooxrs/edit?tab=t.0#heading=h.64r4npvq0w0) to register meta functions.
For aten.empty.out, followed this [part](https://docs.google.com/document/d/1GgvOe7C8_NVOMLOCwDaYV1mXXyHMXY7... | true |
2,859,168,064 | Refine XPU oneDNN context manager API | guangyey | closed | [
"module: cpu",
"open source",
"Merged",
"ciflow/trunk",
"topic: improvements",
"ciflow/xpu",
"release notes: xpu"
] | 22 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147349
# Motivation
This PR introduces improvements to the XPU oneDNN context manager API:
- `GpuEngineManager::get_engine`: Added a new API that accepts a `DeviceIndex` to simplify code and improve usability - by default, using... | true |
2,859,162,100 | [pipelining] AttributeError: 'InterpreterModule' object has no attribute | kyoungbinkim | open | [
"oncall: distributed",
"triaged",
"module: pipelining"
] | 0 | NONE | ### 🐛 Describe the bug
I am currently implementing distributed training using pipelining for LLaMA 3.2.
model source code : https://github.com/pytorch/torchtune/blob/main/torchtune/models/llama3_2/_component_builders.py#L43
Below is the source code.
```
_model = llama3_2_1b()
_tokenizer = llama3_toke... | true |
2,859,117,429 | [Inductor UT][Windows][XPU] Enable Inductor UT on XPU Windows. | etaf | closed | [
"open source",
"Merged",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146481
* __->__ #147347
This PR removes the restrictions on general cases for XPU on Windows, allowing us to run Inductor UT on Windows.
Additionally, this series of PRs has also fixed all XPU Inductor UT issues on Windows. However, due t... | true |
2,859,062,895 | Update imagenet.py according to directions in #142306 | Dmurillo722 | closed | [
"open source",
"topic: not user facing"
] | 3 | NONE | Fixes: Improve typing of args and kwargs with ParamSpec #142306
Description: This pull requests makes the changes specified in #142306 with regards to typing protocols in the imagenet.py file, replacing the instances of *args : Any and **kwargs: Any with typing_extensions.ParamSpec with P.args and P.kwargs. Made su... | true |
2,859,017,208 | [executorch hash update] update the pinned executorch hash | pytorchupdatebot | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 3 | COLLABORATOR | This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned executorch hash. | true |
2,859,008,481 | Support size oblivious max equation | bobrenjc93 | closed | [
"Merged",
"ciflow/trunk",
"release notes: fx",
"topic: not user facing",
"fx",
"module: dynamo",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147344
Addresses https://github.com/pytorch/pytorch/issues/125914 by detecting when we have a sym_max between {0, 1} and a summation of size-like unbacked symints.
The basic idea is max(1, u0 + u1) can be simplified to u0 + u1 if... | true |
2,859,002,419 | [DCP] Cache save plans in default planner | saumishr | closed | [
"oncall: distributed",
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: new features",
"topic: not user facing",
"oncall: distributed checkpointing"
] | 17 | CONTRIBUTOR | Summary:
This PR caches the save plans to significantly reduce the collective cost for successive checkpoint save attempts. Here is the high level approach:
- Create the local plan and cache the same.
- In next iteration, compare the local plan with the cached plan metadata. If no change, do not send that local pla... | true |
2,858,974,416 | Add no_data_dependent_graph_break mode | bobrenjc93 | closed | [
"Merged",
"ciflow/trunk",
"release notes: fx",
"topic: not user facing",
"fx",
"module: dynamo",
"ciflow/inductor"
] | 9 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147342
This adds a strict mode `TORCHDYNAMO_UNBACKED_STRICT` to prevent graph breaking when we guard on data dependent. This is a better UX for those who are actively trying to make their model more dynamic, but aren't close enough ... | true |
2,858,854,911 | [NOT_FOR_COMMIT] Try Triton-cpu-arm | digantdesai | open | [
"Stale",
"release notes: releng",
"module: inductor",
"ciflow/inductor",
"ciflow/linux-aarch64"
] | 2 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,858,832,111 | [codegen] enable SORT and TUPLE_REDUCTION for AMD Triton | chenyang78 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ciflow/rocm"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147340
Looks like Triton's AMD backend supports multiple inputs already.
Let's enable SORT and TUPLE_REDUCTION for it.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiay... | true |
2,858,726,376 | Fix torch.compile Fallback for Meta Device Tensors | Waknis | open | [
"triaged",
"open source",
"Stale",
"topic: not user facing",
"module: inductor"
] | 4 | NONE | Fixes #144607 by updating the fallback behavior in torch/__init__.py for cases when a function compiled with torch.compile is called with a tensor on the "meta" device. Instead of raising a lowering exception, the change transparently falls back to eager execution.
Additionally, this PR adds a new test (test/inducto... | true |
2,858,721,228 | The custom metadata in fx Graph Node is not kept after `run_decompositions` | junpeiz | closed | [
"oncall: pt2",
"export-triaged",
"oncall: export"
] | 3 | NONE | ### 🐛 Describe the bug
In `run_decompositions`, only the Graph's metadata and some nodes' metadata gets preserved, but some nodes' metadata got lost.
Here is a test case to reproduce
```
def test_torch_decomposition_keep_metadata() -> None:
"""Make sure the metadata is kept after exported program run_decompositi... | true |
2,858,692,827 | Enable a fast path for (static) qlinear for AArch64 through ACL directly. | fadara01 | closed | [
"module: cpu",
"triaged",
"open source",
"module: arm",
"release notes: quantization",
"release notes: releng",
"ciflow/linux-aarch64",
"arm priority"
] | 8 | COLLABORATOR | This enables a fast path for eager mode statically quantized matmuls for AArch64 through Arm Compute Library (ACL) directly.
PR #145942 addressed the high overhead in `qlinear_dynamic` on AArch64 (due to redundant weight pre-transpositions and reductions) by enabling a path that calls ACL directly.
This does the sa... | true |
2,858,622,441 | Investigate FlexAttention performance degradation on low precision inputs | danielvegamyhre | open | [
"triaged",
"oncall: pt2",
"upstream triton",
"module: higher order operators",
"module: pt2-dispatcher",
"module: flex attention"
] | 4 | CONTRIBUTOR | Creating this issue to track my work investigating the root cause of unexpected slowdowns observed in flex attention using low precision input tensors.
## TL;DR
Current investigation seems to point to the root cause being related to a huge increase in shared memory access bank conflicts. Evidence so far points to the... | true |
2,858,589,755 | [inductor] GraphLowering code movement | bobrenjc93 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147335
* #147331
moved these methods under __init__ to be more idiomatic
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @... | true |
2,858,569,390 | [ROCm][Windows] Disable Composable Kernels and Triton for Windows builds | m-gallus | closed | [
"module: rocm",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 8 | CONTRIBUTOR | Currently, Composible Kernels and Triton aren't available on Windows. This PR ensures that the files relating to this dependency are not included during the build.
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,858,552,264 | add unbacked strict mode | bobrenjc93 | closed | [
"Merged",
"ciflow/trunk",
"release notes: fx",
"topic: not user facing",
"fx",
"module: dynamo",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147333
fixes #145775
This is the first step in introducing a "strict" mode where we don't silent specialize and don't silent graph break. At a high level when we do mark_unbacked(... strict=True), anytime we specialize an unbacke... | true |
2,858,479,858 | UNSTABLE rocm / linux-focal-rocm6.3-py3.10 / test (default) | amdfaa | closed | [
"module: rocm",
"module: ci",
"unstable"
] | 2 | CONTRIBUTOR | cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd @seemethere @malfet @pytorch/pytorch-dev-infra | true |
2,858,475,374 | [inductor] Freeze runtime asserts after shape prop but before codegen | bobrenjc93 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #147331
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,858,333,473 | Fix typo | 12v | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"release notes: AO frontend"
] | 6 | CONTRIBUTOR | null | true |
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