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 |
|---|---|---|---|---|---|---|---|---|
2,997,294,179 | [FSDP1] print fqns when debug FlatParamHandle | weifengpy | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (fsdp)",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151336
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k | true |
2,997,291,125 | DISABLED test_load_from_bias_head_seq_batch_float16_cuda_float16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 4 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_load_from_bias_head_seq_batch_float16_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40594293880)... | true |
2,997,291,124 | DISABLED test_builtin_score_mods_different_block_size_float16_score_mod7_BLOCK_SIZE2_cuda_float16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 4 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_different_block_size_float16_score_mod7_BLOCK_SIZE2_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/... | true |
2,997,290,830 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod1_BLOCK_SIZE_128_cuda_float32 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 4 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_different_block_size_float32_score_mod1_BLOCK_SIZE_128_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.c... | true |
2,997,290,742 | DISABLED test_silu_on_score_float16_cuda_float16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 4 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_silu_on_score_float16_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40594293880).
Over the past... | true |
2,997,290,663 | DISABLED test_mask_mod_combiners_cuda (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 4 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_mask_mod_combiners_cuda&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40585278657).
Over the past 3 hours, i... | true |
2,997,290,554 | [invoke_subgraph][inductor] Run pre and post grad passes on invoke_subgraph | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151410
* #151409
* #150704
* #150717
* #151357
* #151256
* __->__ #151330
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjam... | true |
2,997,280,368 | [c10d][fr] Add counters for FR dump and reduce its timeout to finish dump before watchdog timeout | fduwjj | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151329
After https://github.com/pytorch/pytorch/pull/150652, we still see some ranks missing dumps. Upon looking further, the case is that FR dump timed out for its first attempt:
watchdog thread: notify FR dump -> wait for 1 min... | true |
2,997,226,111 | Can't call torch.compile inside of a custom op | zou3519 | open | [
"feature",
"triaged",
"oncall: pt2",
"module: fakeTensor",
"module: dynamo",
"module: pt2-dispatcher"
] | 1 | CONTRIBUTOR | ```py
import torch
lib = torch.library.Library("mylib", "FRAGMENT")
lib.define("foo(Tensor x) -> Tensor")
def inner(x):
return x.sin().cos()
def foo_impl(x):
return torch.compile(inner, fullgraph=True)(x)
lib.impl("foo", foo_impl, "CompositeExplicitAutograd")
@torch.compile(fullgraph=True)
def f(x):
r... | true |
2,997,197,804 | [ONNX] Implement scan | justinchuby | open | [
"module: onnx",
"triaged"
] | 1 | COLLABORATOR | ### 🚀 The feature, motivation and pitch
Implement scan from higher ordered ops in https://github.com/pytorch/pytorch/blob/main/torch/onnx/_internal/exporter/_torchlib/ops/hop.py
### Alternatives
_No response_
### Additional context
_No response_ | true |
2,997,189,657 | [ROCm] replace miniconda with miniforge | BowenBao | closed | [
"module: rocm",
"open source",
"topic: not user facing",
"ciflow/rocm"
] | 2 | COLLABORATOR | cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd
Related to: https://github.com/pytorch/pytorch/issues/148335 | true |
2,997,074,321 | [AOTInductor] Add interface for user managed buffer in package api. | muchulee8 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Summary:
https://github.com/pytorch/pytorch/pull/151141
We add interface for user managed buffer in the package api.
Test Plan:
Included in commit.]
Reviewed By: henrylhtsang
Differential Revision: D72985440
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng... | true |
2,997,013,412 | Testing compatibility with new sympy | malfet | closed | [
"topic: not user facing",
"ciflow/inductor",
"ci-no-td"
] | 1 | CONTRIBUTOR | See https://github.com/pytorch/pytorch/issues/151312 | true |
2,996,997,755 | Gracefully handle optree less than minimum version, part 2 | pytorchbot | closed | [
"open source",
"module: dynamo",
"ciflow/inductor"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151257
If optree is less than the minimum version, we should pretend it doesn't
exist.
The problem right now is:
- Install optree==0.12.1
- `import torch._dynamo`
- This raise an error "min optree version is 0.13.0"
The ... | true |
2,996,984,495 | [CI] No workflows scheduled on PRs | malfet | open | [
"module: ci",
"triaged",
"module: flaky-tests",
"module: third_party"
] | 11 | CONTRIBUTOR | ### 🐛 Describe the bug
Few instances of PRs with no tests run on them were reported recently, for example:
- https://github.com/pytorch/pytorch/pull/146273
<img width="898" alt="Image" src="https://github.com/user-attachments/assets/7c40a29d-8901-4747-a980-2e7dfc5004ab" />
- https://github.com/pytorch/pytorch/pull/... | true |
2,996,981,873 | [inductor] Check NoneLayout in update_zero_dim_cpu_tensor | angelayi | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 5 | CONTRIBUTOR | Summary:
This fixes the error in https://fb.workplace.com/groups/1075192433118967/permalink/1640802133224658/
I tried really hard but I couldn't come up with a test case to repro the issue, but I confirmed with the OP that this issue has been fixed.
```
Traceback (most recent call last):
File "/dev/shm/uid-99/d2b830f... | true |
2,996,899,280 | [DCP] Add logging for _stateful_to_state_dict(), stage_state_dict(), and synchronize_staging() | MeetVadakkanchery | closed | [
"oncall: distributed",
"fb-exported",
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"release notes: hub",
"release notes: distributed (checkpoint)",
"ci-no-td",
"oncall: distributed checkpointing"
] | 18 | CONTRIBUTOR | Summary: As titled.
Test Plan: CI
Differential Revision: D73040700
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @LucasLLC @pradeepfn | true |
2,996,880,944 | update expected results for comptime benchmark | bdhirsh | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | This PR https://github.com/pytorch/pytorch/pull/150594 bumped the benchmark up by ~1%, a bit under our 1.5% "regression" mark.
Modeled this PR after https://github.com/pytorch/pytorch/pull/144274
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151319
cc @voznesenskym ... | true |
2,996,795,312 | [dynamo] Add guard serialization for tensor matches. | zhxchen17 | closed | [
"fb-exported",
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"ci-no-td"
] | 37 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151349
* #151343
* __->__ #151318
This is a proof-of-concept of how we could serialize a guard and deserialize it back from the bytes.
The main behavioral change introduced in this diff is on CheckFunctionManager:
```
check_fn_manag... | true |
2,996,705,437 | Fix support of MixtureSameFamily [bugfix]. | BenZickel | open | [
"open source",
"release notes: python_frontend",
"module: python frontend"
] | 7 | NONE | Fixes https://github.com/pyro-ppl/pyro/issues/3419 which is actually a `torch` bug that can be replicated by the below code:
```
from torch import rand
from torch.distributions import MixtureSameFamily, Categorical, Binomial
max_count = 20
probs = rand(10, 5)
binom_probs = rand(10, 5)
d = MixtureSameFamily... | true |
2,996,613,582 | Apple Clang 17 build error | adamjstewart | closed | [
"high priority",
"triage review",
"module: build",
"module: tensorpipe"
] | 3 | CONTRIBUTOR | ### 🐛 Describe the bug
When building PyTorch 2.6.0 with Apple Clang 17.0.0, I see the following build error:
```
FAILED: third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/helpers.cc.o
/Users/Adam/spack/opt/spack/darwin-m2/compiler-wrapper-1.0-cdasmd2yy77m4m6wp6mdpf72p6usoqcq/libexec/spack/clang/... | true |
2,996,374,987 | Fix skipIfXpu and skipIfHpu disables tests when used on class | EikanWang | open | [
"oncall: distributed",
"open source",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"keep-going",
"merging"
] | 25 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151315
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @voznesenskym @penguinwu @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @ch... | true |
2,996,336,599 | Add inductor backend to device interface; make minifier_tests more device agnostic | charlie-wt | open | [
"triaged",
"open source",
"topic: not user facing",
"module: inductor",
"module: dynamo"
] | 3 | CONTRIBUTOR | Tried to decouple the always cpu <=> c++, cuda <=> triton assumption. Tried to keep it relatively simple by just guarding things more specifically, at the moment.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchul... | true |
2,996,334,547 | DISABLED test_parity__foreach_add_fastpath_inplace_cuda_complex64 (__main__.TestForeachCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"module: mta"
] | 2 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_parity__foreach_add_fastpath_inplace_cuda_complex64&suite=TestForeachCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40567936561).
Ov... | true |
2,995,975,523 | Compatibility with SymPy 1.14.0 | oscarbenjamin | closed | [
"triaged",
"module: third_party",
"oncall: pt2"
] | 9 | NONE | Hi PyTorch people.
I have just pushed a new prerelease of SymPy 1.14.0rc1 to PyPI:
https://pypi.org/project/sympy/#history
Previously PyTorch had some issues with SymPy and mpmath prereleases so I just want to check in whether this release is going to cause any problems for PyTorch.
In particular if I read this corr... | true |
2,995,956,681 | `repeat_interleave_cpu` is not implemented for short integers | ev-br | open | [
"triaged",
"actionable",
"module: python array api",
"module: python frontend"
] | 1 | COLLABORATOR | ### 🐛 Describe the bug
```
In [7]: import torch
In [8]: torch.repeat_interleave(torch.arange(5, dtype=torch.int8), 2)
Out[8]: tensor([0, 0, 1, 1, 2, 2, 3, 3, 4, 4], dtype=torch.int8)
In [9]: torch.repeat_interleave(torch.arange(5, dtype=torch.int8), torch.as_tensor(2, dt
...: ype=torch.int8))
-------------------... | true |
2,995,794,797 | cpp_extension.load 'sources' does not support Chinese paths | juntaosun | open | [
"needs reproduction",
"module: windows",
"module: cpp-extensions",
"triaged",
"actionable"
] | 3 | NONE | ### 🐛 Describe the bug
Does not support Chinese character paths
```
from torch.utils import cpp_extension
...
cpp_extension.load(
name=name,
sources=sources,
build_directory=buildpath,
extra_cflags=[
"-O3",
],
extra_cuda_cflag... | true |
2,995,693,367 | [inductor] type checking of `torch.linalg.inv` is not sufficient on inductor | shaoyuyoung | open | [
"triaged",
"oncall: pt2",
"module: inductor"
] | 2 | CONTRIBUTOR | ### 🐛 Describe the bug
**symptom**: When the **determinant of a square matrix is zero**. `aot_eager` is the first backend that loses the check.
**device backend**: both CPP and triton
**repro**
```python
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch._inductor import config
config.fall... | true |
2,995,552,513 | [Intel GPU][UT failure] Depthwise conv related UT failures | ZhiweiYan-96 | open | [
"triaged",
"module: xpu"
] | 1 | COLLABORATOR | ### 🐛 Describe the bug
For UTs that would call depthwise conv on XPU backend, following error would be raised.
`NotImplementedError: The operator 'aten::_conv_depthwise2d' is not currently implemented for the XPU device`
### Versions
Collecting environment information...
PyTorch version: 2.8.0a0+git84ac876
Is debug... | true |
2,995,512,619 | [Export] Remove to() from module generated form exported program | Eldalie | open | [
"triaged",
"open source",
"release notes: export"
] | 2 | NONE | Prevent users from calling `to()` on module-generated form-exported programs, as this is not supported [[PyTorch issue #151010](https://github.com/pytorch/pytorch/issues/151010)] | true |
2,995,481,830 | add Out Notes | ILCSFNO | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 14 | CONTRIBUTOR | Fixes #150181
@albanD Could you please have a check?
Build locally without pytorch build:
| true |
2,995,427,732 | Use Allocator API raw_allocate & raw_dealloc in CUDAAllocator | guangyey | open | [
"oncall: distributed",
"open source",
"ciflow/trunk",
"release notes: distributed (c10d)",
"ciflow/rocm"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151305
# Motivation
While generalizing the device caching allocator in [#138222](https://github.com/pytorch/pytorch/pull/138222), I noticed that `raw_alloc` and `raw_delete` are redundant, as similar functionality is already provid... | true |
2,995,427,625 | Optimize `interpolate` saturate description | zeshengzong | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: nn",
"topic: docs"
] | 7 | CONTRIBUTOR | Fixes #108225
## Test Result
### Before
### After
| true |
2,995,411,045 | [Feature Request] Experimental support to Moore Threads GPU MUSA | jobs-git | open | [
"triaged",
"module: backend"
] | 0 | NONE | ### 🚀 The feature, motivation and pitch
This is to further democratize AI utilization by enable emerging hardware as CUDA hardware becomes more expensive while China invests to GPU technology. There is already an existing implementation: https://github.com/MooreThreads/torch_musa
While CUDA is still the gold standar... | true |
2,995,351,973 | [Easy] Fix the compilation warning of BlasKernel. | FFFrog | closed | [
"open source",
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"ci-no-td"
] | 8 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151302
* #151427
As the title stated.
Change Before:
```C++
[2/21] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/BlasKernel.cpp.o
/root/Git.d/pytorch/pytorch/aten/src/ATen/native/BlasKernel.cpp:346:6: w... | true |
2,995,338,344 | DISABLED test_fake_registration (__main__.TestOpProfiles) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"module: custom-operators",
"skipped",
"oncall: pt2",
"module: pt2-dispatcher"
] | 9 | NONE | Platforms: asan, linux, mac, macos, rocm, slow, win, windows
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_fake_registration&suite=TestOpProfiles&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40550182... | true |
2,995,338,214 | DISABLED test_parity__foreach_add_fastpath_inplace_cuda_complex128 (__main__.TestForeachCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"module: mta"
] | 3 | NONE | Platforms: linux, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_parity__foreach_add_fastpath_inplace_cuda_complex128&suite=TestForeachCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/4055018291... | true |
2,995,214,765 | [custom ops] Fix destroy function | angelayi | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 9 | CONTRIBUTOR | Summary:
D72906445 seemed to cause a SIGABRT when running the test in the test plan. The change I narrowed it down to was where in fake_impls the [`deregister_fake_kernel` no longer calls `lib.destroy`](https://github.com/pytorch/pytorch/pull/150806/files#diff-7fd3f4222276c63b91f3a895530bb5efe137fd23165b48f25afcf3c06a... | true |
2,995,179,893 | [WIP] Generalize device caching allocator | guangyey | open | [
"open source",
"release notes: cpp"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151298
* #152932
* #138222
| true |
2,995,169,599 | [3/N] Use internal linkage in C++ files | cyyever | closed | [
"oncall: jit",
"module: cpu",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: jit",
"ciflow/periodic"
] | 6 | COLLABORATOR | Follows #151070.
cc @EikanWang @jgong5 @wenzhe-nrv @sanchitintel @mingfeima @XiaobingSuper @ashokei @jingxu10 @jerryzh168 | true |
2,995,120,499 | [inductor] [assertion error] `torch.select_scatter` crashes on inductor but passes on eager | shaoyuyoung | open | [
"high priority",
"triaged",
"oncall: pt2",
"module: pt2-dispatcher"
] | 5 | CONTRIBUTOR | ### 🐛 Describe the bug
**symptom**: `torch.select_scatter` crashes with `assertionerror`.
**repro**
```python
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch._inductor import config
config.fallback_random = True
torch.set_grad_enabled(False)
class Model(torch.nn.Module):
def __in... | true |
2,995,093,773 | [Hierarchical compile] Ensure output nodes are sorted last | mlazos | closed | [
"Merged",
"ciflow/trunk",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 9 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151295
* #151294
* #151293
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,995,093,693 | [Hierarchical Compile] Handle autocast ctx manager | mlazos | closed | [
"Merged",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151295
* __->__ #151294
* #151293
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,995,093,627 | [Hierarchical Compile] Fix small bug | mlazos | closed | [
"Merged",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151295
* #151294
* __->__ #151293
This technically would never be exposed because we never check that a node is an ancestor of itself, but it is good for it to be correct.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @X... | true |
2,995,039,425 | Remove outdated Android workarounds of nearbyintf | cyyever | open | [
"module: cpu",
"triaged",
"open source",
"oncall: mobile",
"ciflow/trunk",
"release notes: quantization",
"ciflow/periodic",
"ciflow/mps",
"test-config/executorch"
] | 3 | COLLABORATOR | This PR uses std::nearbyint on all supported platforms.
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @jerryzh168 | true |
2,994,968,427 | Improve error message when calling binary pointwise functions with two jagged nested tensors | shink | open | [
"triaged",
"open source",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Fixes #150252
### Changes
Raise an ValueError with detailed message when calling binary pointwise functions with two jagged nested tensors with different symint sizes. For example, `(B, j1, D)` - `(B, j2, D)` will get an error.
| true |
2,994,951,511 | [Inductor UT] Conflicting declaration found in create_block_mask with torch.compile in specific CI image. | jianan-gu | closed | [
"oncall: cpu inductor"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
Meeting Conflicting declaration issue when running following UT in specific CI ephemeral.linux.2xlarge image.
- Detailed error:
https://github.com/pytorch/pytorch/actions/runs/14444977199/job/40548513199
- UT code: test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_make_block_... | true |
2,994,928,426 | Fix CosineAnnealingWarmRestarts reset T_cur | zeshengzong | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: optim"
] | 9 | CONTRIBUTOR | Fixes #88791
## Test Result
```python
pytest test/optim/test_lrscheduler.py -k test_CosineAnnealingWarmRestarts
```
| true |
2,994,844,580 | [MPSInductor] Adjust memory format detection | malfet | closed | [
"Merged",
"topic: bug fixes",
"release notes: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150821
* __->__ #151288
* #151282
* #151272
* #151246
* #151224
MPS conv implementation will only yield channels last if input is in channels_last format
Fixes `TestGPUTests.test_conv2d_backward_channels_last` on MacOS-15
cc @voznesens... | true |
2,994,810,057 | There is a significant performance degradation in the Triton operator generated for scaled_dot_product_attention by TorchInductor's aotcompile. | sujuyu | closed | [] | 2 | NONE | ### 🐛 Describe the bug
I have created a simple demo using cross-attention.
```python
import os
os.environ['TORCHINDUCTOR_MAX_AUTOTUNE_GEMM_BACKENDS'] = "ATEN,CPP"
os.environ['TORCHINDUCTOR_MAX_AUTOTUNE_GEMM_SEARCH_SPACE'] = "EXHAUSTIVE"
os.environ['TORCHINDUCTOR_MAX_AUTOTUNE_GEMM'] = "1"
import torch
import torch.n... | true |
2,994,777,851 | vmap- out of memory | GLCUI | open | [
"triaged",
"module: vmap"
] | 0 | NONE | ### 🚀 The feature, motivation and pitch
i find the torch.vmap will need several times more memory when i use vmap to Performing matrix multiplication with batch than normal neural network Linear operation(eg: Linear) need with batch is there any optimization method?
### Alternatives
_No response_
### Addition... | true |
2,994,770,627 | there is no cuda 12.1 of pytoch 2.6.0, when update pytorch,the cuda version is always not suitble for pytorch version | cqray1990 | closed | [
"module: binaries",
"oncall: releng"
] | 1 | NONE | ### 🚀 The feature, motivation and pitch
there is no cuda 12.1 of pytoch 2.6.0, when update pytorch,the cuda version is always not suitble for pytorch version
### Alternatives
_No response_
### Additional context
_No response_
cc @seemethere @malfet @osalpekar @atalman | true |
2,994,714,740 | [cutlass backend] "Fix" FlexibleLayout | henrylhtsang | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151284
So Horace was right, Triton does fix the layout when rendering the template (i.e. roughly at the same time).
You can double check that running the unit test with gemm backend as "TRITON,CUTLASS". You will notice that th... | true |
2,994,708,131 | Replace all random is_fbcode imports to environment | oulgen | 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):
* __->__ #151283
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,994,695,281 | [MPS] Fix logit output for half/bfloat | malfet | closed | [
"Merged",
"release notes: mps",
"ciflow/mps"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150821
* #151288
* __->__ #151282
* #151272
* #151246
* #151224
Which also fixes MPSInductor pointwise test
TODO: (as followup PRs): get rid of special native_function.yaml dispatches and use stub | true |
2,994,674,307 | DISABLED test_duplicate_registration_impl (__main__.TestOpProfiles) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"module: custom-operators",
"skipped",
"oncall: pt2",
"module: pt2-dispatcher"
] | 7 | NONE | Platforms: asan, linux, mac, macos, rocm, win, windows, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_duplicate_registration_impl&suite=TestOpProfiles&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/r... | true |
2,994,630,358 | [executorch hash update] update the pinned executorch 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 executorch hash. | true |
2,994,620,812 | [cutlass backend][ez] Ban FP32 output dtype from using CUTLASS GEMM backend | henrylhtsang | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 9 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151279
FP32 not supported: https://github.com/pytorch/pytorch/issues/145952
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muc... | true |
2,994,591,812 | [dynamo] replace `unimplemented` with `unimplemented_v2` in `variables/torch_functions.py` | StrongerXi | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 9 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151278
* #151277
This addresses part of #147913.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,994,591,707 | [dynamo] replace `unimplemented` with `unimplemented_v2` in `variables/functions.py` | StrongerXi | closed | [
"Merged",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151278
* __->__ #151277
This addresses part of #147913.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,994,578,555 | [Inductor] Modify persistent+TMA template for Triton mm and admm to use new TMA API | NikhilAPatel | closed | [
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151276
Summary:
This PR modifies the Triton template for persisten+TMA mm and admm to use the new functional API for TMA introduced here: https://github.com/triton-lang/triton/pull/6248/
This also involves setting a global Triton al... | true |
2,994,557,082 | [sigmoid] memory planner C10 deps | dolpm | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 28 | CONTRIBUTOR | Summary: perf-sensitive util functions for use in our memory planner
Test Plan: CI
Differential Revision: D73002726
| true |
2,994,511,729 | [inductor] disable alignment asserts in fbcode | shunting314 | 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):
* __->__ #151274
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,994,484,281 | [AOTInductor] Add states for constant folding process | muchulee8 | 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):
* __->__ #151273
Summary:
We add states in the constant folding process for AOTInductor.
Basically, there's 3 states, which is
(1) None: The state when no constants are loaded and uninitialized.
(2) Initialized: The state when constants are lo... | true |
2,994,473,488 | [MPSInductor] Fix silent correctness in bitcast | malfet | closed | [
"Merged",
"topic: bug fixes",
"release notes: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150821
* __->__ #151272
* #151246
* #151224
By using Metal `as_type` which according to documentation does exactly
that:
> Metal adds an as_type<type-id> operator to allow any scalar or vector data type (that is not
a pointer) to be reinter... | true |
2,994,458,541 | [WIP][dynamic shapes] lru cache bound_sympy | pianpwk | open | [
"release notes: fx",
"fx",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,994,447,228 | Fix score_mod.py dynamic max autotune for backward | fegin | 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):
* __->__ #151270
Same as https://github.com/pytorch/pytorch/pull/148991 but this PR fixes the backward path.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @cheny... | true |
2,994,306,456 | [PP] Hang when num_microbatches < stages for Interleaved1F1B | H-Huang | open | [
"oncall: distributed",
"triaged",
"module: pipelining"
] | 0 | MEMBER | Seeing a hang when pp_rank=4 and num_stages=8 with num_microbatches=2 for `Interleaved1F1B`. This is reproducible in torchtitan.
Issue has not been root caused yet. First step is to write a unit test to reproduce this in PyTorch.
cc @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k | true |
2,994,300,904 | DISABLED test_parity__foreach_add_fastpath_inplace_cuda_bool (__main__.TestForeachCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"module: mta"
] | 2 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_parity__foreach_add_fastpath_inplace_cuda_bool&suite=TestForeachCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40526159287).
Over th... | true |
2,994,300,838 | DISABLED test_kineto_profiler_with_environment_variable (__main__.SimpleKinetoInitializationTest) | pytorch-bot[bot] | open | [
"module: flaky-tests",
"skipped",
"oncall: profiler"
] | 1 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_kineto_profiler_with_environment_variable&suite=SimpleKinetoInitializationTest&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40526253603)... | true |
2,994,180,469 | [Dynamo] Implement sourceless named tuple support | mlazos | closed | [
"Merged",
"ciflow/trunk",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 6 | CONTRIBUTOR | Fixes https://github.com/pytorch/pytorch/issues/140903
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,994,131,512 | [dynamo] Avoid unnecessary `.detach()` call in `_make_subclass` polyfill | StrongerXi | open | [
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151265
This brings down compilation time quite a bit for certain tensor
subclass + `torch.compile` use cases, see #150706.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @... | true |
2,994,089,268 | [reland] Make export._trace._WrapperModule work in strict mode (#146919) | yushangdi | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"module: dynamo",
"ciflow/inductor",
"release notes: export",
"ci-no-td"
] | 7 | CONTRIBUTOR | Summary:
as title
`export._trace._WrapperModule` is used to wrap functions into a Module so we can export the function.
We add `export._wrapper_utils` to `dynamo`'s `MOD_INLINELIST` so dynamo traces into `_WrapperModule`
Fixes https://github.com/pytorch/pytorch/issues/146867
Test Plan:
```
buck run fbcode//mode/d... | true |
2,994,085,358 | Make torch._chunk_cat support non-contiguous inputs | yf225 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 9 | CONTRIBUTOR | Currently, `torch._chunk_cat` only supports contiguous inputs (due to `.view()` usage in `_pad_chunk()` supporting only contiguous tensor). This doesn't work for internal models where there can be non-contiguous input tensors:
- size=[8192, 16416], stride=[16448, 1] # stride[0] is larger than size[1]
- size=[1152,... | true |
2,994,060,562 | [WIP][SymmMem] Add sendrecv op | kwen2501 | open | [
"oncall: distributed",
"release notes: distributed (c10d)"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151993
* #151819
* #151498
* __->__ #151262
* #151261
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k | true |
2,994,060,432 | [SymmMem] Experimental NVSHMEM integration | kwen2501 | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 9 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151993
* #151819
* #151498
* __->__ #151261
Adding NVSHMEM as a backend for `SymmetricMemory`, implementation of which is in `NVSHMEMSymmetricMemory.cu`.
Moving some helper functions in `CUDASymmetricMemory.cu` to `CUDASymmetricMemoryUt... | true |
2,994,060,320 | clang-format CUDASymmetricMemory.cu | kwen2501 | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151262
* #151261
* __->__ #151260
Ported from #146592
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k | true |
2,994,054,112 | [ONNX] Produce correct dtypes for bf16/f8 in IR TorchTensor | justinchuby | closed | [
"module: onnx",
"open source",
"Merged",
"ciflow/trunk",
"release notes: onnx",
"topic: bug fixes"
] | 4 | COLLABORATOR | Split the changes from https://github.com/pytorch/pytorch/pull/151069 to address https://github.com/microsoft/onnxscript/issues/2187, where the output np arrays do not have the correct ml_dtypes types as expected. | true |
2,994,040,897 | [AMD][FA] Block mem efficient attention if backward head_dim > 128 in CK backend | merengue171 | open | [
"fb-exported",
"topic: not user facing"
] | 9 | NONE | Summary:
https://github.com/ROCm/flash-attention?tab=readme-ov-file
{F1977092246}
CK doesn't support bwd head_dim>128. We'll exclude mem eff attention and pick math if use CK backend and bwd_head_dim > 128.
Test Plan:
buck2 run mode/opt scripts/xdwang/example:sdpa -- --head_dim 256
fwd+bwd:
{F1977100595}
Differenti... | true |
2,994,014,000 | Gracefully handle optree less than minimum version, part 2 | zou3519 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151257
If optree is less than the minimum version, we should pretend it doesn't
exist.
The problem right now is:
- Install optree==0.12.1
- `import torch._dynamo`
- This raise an error "min optree version is 0.13.0"
The ... | true |
2,994,003,430 | [aot autograd][logging] Profile large missing gaps in compile time tracing | anijain2305 | open | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"release notes: AO frontend",
"ci-no-td"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151410
* #151409
* #150704
* #150717
* #151357
* __->__ #151256
* #151330
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjam... | true |
2,993,957,837 | [cutlass backend][experimental] Try out presets for cutlass instead of searching all configs | henrylhtsang | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 10 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151255
Differential Revision: [D72668861](https://our.internmc.facebook.com/intern/diff/D72668861/)
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chen... | true |
2,993,936,426 | `torch.compile(mode="max-autotune-without-cudagraph")` errors in triton compiler | StrongerXi | closed | [
"oncall: pt2"
] | 3 | CONTRIBUTOR | ### 🐛 Describe the bug
This was originally observed in https://github.com/city96/ComfyUI-GGUF/issues/250.
After 20250405 nightly, `torch.compile(mode="max-autotune-without-cudagraph")` started to error for ComfyUI Flux, when we graph break on the attention (so it's not specific to sageattention as the original issue... | true |
2,993,923,961 | [CUDA][CUTLASS] CUTLASS 3.9 submodule upgrade | eqy | closed | [
"oncall: distributed",
"module: cuda",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 9 | COLLABORATOR | Originally authored by Jack Kosaian, likely needs #ifdefs if we want to preserve compat with 3.8
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @ptrblck @msaroufim @jerryzh168 | true |
2,993,914,917 | test_store: fix timeout for test_queues | d4l3k | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 7 | MEMBER | Fixes #151216, #151215
Previously I forgot to revert the timeout after setting it for the timeout test.
To prevent this in the future I split the test into 3 different tests so timeout testing is isolated.
Test plan:
Stress tested
```
pytest test/distributed/test_store.py -k queue -v -s --minutes 10
`... | true |
2,993,899,910 | Actually support LOAD_BUILD_CLASS | williamwen42 | open | [
"feature",
"triaged",
"oncall: pt2",
"module: dynamo",
"module: graph breaks"
] | 0 | MEMBER | Actually implement tracing rules for `LOAD_BUILD_CLASS`.
Followup to https://github.com/pytorch/pytorch/issues/128942, which was patched with a better error message in https://github.com/pytorch/pytorch/pull/150323.
cc @chauhang @penguinwu @voznesenskym @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzh... | true |
2,993,867,757 | [provenance_tracking] Add node mapping support for ExternKernel type | YUNQIUGUO | closed | [
"fb-exported",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 30 | CONTRIBUTOR | Summary:
As title.
Support on other case for ExternKernel type
Test Plan:
Test tlparse link output: https://manifold.edge.x2p.facebook.net/v0/read/tree/logs/.tmptwbYfX/dedicated_log_torch_trace_opt1ka7p.log/-_0_0_0/inductor_triton_kernel_to_post_grad_nodes_15.json?bucketName=tlparse_reports&apiKey=tlparse_re... | true |
2,993,804,144 | update visualizer with compare two schedules method | H-Huang | open | [
"oncall: distributed"
] | 2 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151249
* #151248
* #150359
* #150347
cc @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k | true |
2,993,803,706 | Add get_pipeline_order() for Gpipe and 1F1B | H-Huang | open | [
"oncall: distributed"
] | 2 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151249
* __->__ #151248
* #150359
* #150347
| true |
2,993,753,907 | [c10d][fr] Enable FR analysis script for rest of all coalesce op | fduwjj | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"suppress-api-compatibility-check",
"suppress-bc-linter"
] | 10 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151238
* __->__ #151247
* #151243
We revisited how coalesced collective is working in https://github.com/pytorch/pytorch/pull/151243 and we now want to enable the script to work for slow path. The change is indeed bc-breaking but this ... | true |
2,993,748,670 | [MPSInductor] Cast halfs to floats | malfet | closed | [
"Merged",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 5 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150821
* __->__ #151246
* #151224
To avoid accuracy issues when small reductions are unrolled, cast half to float during the `load` op
As `op_math_t<half>` is indeed float
This fixes `test_unroll_small_reduction` for reduced precision ... | true |
2,993,741,862 | [c10d][fr] Record each individual collective being coalesced | fduwjj | closed | [
"oncall: distributed",
"release notes: distributed (c10d)"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151245
* #151244
cc @H-Huang @awgu @wanchaol @fegin @wz337 @wconstab @d4l3k | true |
2,993,741,772 | [c10d][fr] Enable FR analysis script for all fast-path coalesce op | fduwjj | closed | [
"oncall: distributed",
"topic: not user facing"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151245
* __->__ #151244
cc @H-Huang @awgu @wanchaol @fegin @wz337 @wconstab @d4l3k | true |
2,993,718,822 | [c10d][fr] Enable FR analysis script for all fast-path coalesce op | fduwjj | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 5 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151238
* #151247
* __->__ #151243
This PR is to enable FR for all coalesce ops for fast path. (batch p2p is enabled in the current script, so we will mainly focus on non-P2P ops). To explain what is fast path, let's revisit how coalesced c... | true |
2,993,717,540 | [dynamic shapes] bound_sympy for size-oblivious min/max reasoning | pianpwk | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: fx",
"fx",
"module: dynamo",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Differential Revision: D72978020
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv @voznesenskym @penguinwu @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,993,711,825 | [BE][1/2] Move original_weights_lookup attribute to constant | bbeckca | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: quantization",
"fx",
"release notes: AO frontend"
] | 7 | CONTRIBUTOR | Summary: As title. Cleaning usages by using global constant.
Test Plan: `buck test 'fbcode//mode/opt' fbcode//caffe2/test:quantization_fx -- --exact 'caffe2/test:quantization_fx - test_keep_original_weights (quantization.fx.test_quantize_fx.TestQuantizeFx)'`
Differential Revision: D72892815
cc @ezyang @SherlockNo... | true |
2,993,709,224 | [funcol] wait() breaks the chain for backwards | wconstab | open | [
"oncall: distributed",
"triaged"
] | 3 | CONTRIBUTOR | As reported by @lw, and captured by this repro, the wait() operation appears to 'detach' its waited output tensor and prevent gradients from flowing during backwards. The result is that any upstream paramters will not receive the expected grads.
```python
import torch
import torch.distributed
import torch.distributed... | true |
2,993,692,229 | [inductor][take 2] Change minimum number of SMs to 58 to let L4 Ada use Triton GEMM backend | henrylhtsang | closed | [
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #148622
* __->__ #151239
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,993,689,827 | [c10d][fr] Record each individual collective being coalesced | fduwjj | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151238
* #151247
* #151243
During the record of FR for coalesced collectives we are not consistent. For P2P ops, we log individual collectives into FR but for non-p2p ops, we don't do that. This PR is trying to make non-P2P also... | true |
2,993,689,389 | [inductor][take 2] Change minimum number of SMs to 58 to let L4 Ada use Triton GEMM backend | henrylhtsang | closed | [
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | 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 @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
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