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 |
|---|---|---|---|---|---|---|---|---|
2,796,503,359 | test trigger dispatch | yangw-dev | closed | [
"topic: not user facing"
] | 1 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
| true |
2,796,500,096 | Repro collective timeout and FR dump | wconstab | closed | [
"oncall: distributed",
"topic: not user facing"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145125
* #144834
* #145099
* #145011
* #145010
the timeout is unfortunatley not reliable to repro. I'm not yet sure
what the root cause is, so for now I am just uploading my FR trace files
to improve the analyzer script.
... | true |
2,796,499,862 | Add upload testlog | yangw-dev | closed | [
"topic: not user facing"
] | 1 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
| true |
2,796,488,729 | [mps/inductor] Skip "double" tests as 64-bits FP is not supported. | dcci | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 3 | MEMBER | 257 tests failed (before) -> 242 tests failed (after)
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhan... | true |
2,796,478,705 | inductor: Don't throw an internal error when a nn.module is missing a attribute | c00w | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"ci-no-td"
] | 17 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145122
If a nn.module getattr call throws, we should make sure that we don't crash with an internal error
Note that I couldn't figure out how to test this, so advice would be awesome. I have my best case attempt at https://gith... | true |
2,796,477,013 | Operator Benchmark: Additional operators | apakbin | closed | [
"open source",
"ciflow/trunk",
"release notes: benchmark"
] | 11 | CONTRIBUTOR | Added additional operators: add_, addcmul, arange, baddbmm, bmm, clamp, div, div_, gelu, index_add, logical_and, mul_, sub_, topk, where | true |
2,796,465,903 | [triton] Update triton pin to include warp specialization support | htyu | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor",
"ci-no-td"
] | 18 | CONTRIBUTOR | The warp specialization work has been landed to the triton rc/3.2.x branch as https://github.com/triton-lang/triton/commit/b2684bf3b0270eff6f104260b6a96c0c139cd56f | true |
2,796,431,216 | WIP sccache simplified | wdvr | closed | [
"Stale",
"ciflow/binaries",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Trying to see if we can get rid of all of the wrapper code now | true |
2,796,430,482 | [fx] move DCE rand check to import time | xmfan | closed | [
"Merged",
"ciflow/trunk",
"release notes: fx",
"fx",
"module: dynamo",
"ciflow/inductor"
] | 3 | MEMBER | Mitigates the deterministic benchmark regression: https://github.com/pytorch/pytorch/issues/144775#issuecomment-2593411844. and maybe the dashboard issue.
fx.Node.is_impure is unexpectedly a hot spot. It gets called for every node in the graph whenever we invoke DCE, which should be okay, EXCEPT we invoke DCE on the... | true |
2,796,423,389 | [EXPERIMENTAL][dynamo] optimize `DictGetItemGuardAccessor` | StrongerXi | closed | [
"Stale",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145117
* #143313
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,796,420,878 | WIP remove -E workaround for nvcc | wdvr | closed | [
"Stale",
"ciflow/trunk",
"topic: not user facing"
] | 2 | CONTRIBUTOR | follow up on https://github.com/pytorch/pytorch/pull/145012 to remove workaround https://github.com/pytorch/pytorch/pull/142813/files
Testing to see if sccache now handles the nvcc caching correctly | true |
2,796,383,244 | Obey sm_carveout (limit on number of SMs) in inductor persistent kernel | davidberard98 | closed | [
"triaged",
"oncall: pt2",
"module: inductor"
] | 0 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
See https://github.com/pytorch/pytorch/pull/144974#issuecomment-2599011250
cc @chauhang @penguinwu @voznesenskym @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @des... | true |
2,796,375,328 | [Utilization][Usage Log] Add data model for record | yangw-dev | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Add data model for consistency and data model change in the future.
The data model will be used during the post-test-process pipeline | true |
2,796,368,030 | [Utilization] Add datamodel for logging record | yangw-dev | closed | [
"topic: not user facing"
] | 1 | CONTRIBUTOR | add dataModel | true |
2,796,254,287 | Update ci_expected_accuracy for TIMM levit_128 for further investigation | huydhn | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 14 | CONTRIBUTOR | TSIA, it looks like an upstream change, but I'm not sure from where yet.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,796,237,382 | Prevent legacy_load when weights_only=True (correctly) | pytorchbot | closed | [
"open source",
"ciflow/trunk"
] | 1 | COLLABORATOR | Only prevent `legacy_load` (.tar format removed in https://github.com/pytorch/pytorch/pull/713), not the whole of `_legacy_load` (.tar format + _use_new_zipfile_serialization=False)
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145020
Differential Revision: [D68301405](https... | true |
2,796,233,067 | Delete torch._library.register_functional_op | zou3519 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145110
* #145109
Fixes #117816, #117834, #117871
This has been superceded by auto_functionalized_v2. There are no
internal usages and this is private API so it is safe to delete. | true |
2,796,232,991 | Skip test responsible for causing flakiness | zou3519 | closed | [
"Merged",
"topic: not user facing"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145110
* __->__ #145109
Investigation is a separate issue. For now I want to get the CI back up
and running on the other tests. The problem seems to be that
IncludeDispatchKeyGuard doesn't actually reset the state, which seems
very, very wr... | true |
2,796,227,000 | torch._C._IncludeDispatchKeyGuard is very broken? | zou3519 | open | [
"triaged",
"module: dispatch"
] | 1 | CONTRIBUTOR | ```py
import torch
print(torch._C._meta_in_tls_dispatch_include())
with torch._C._IncludeDispatchKeyGuard(torch.DispatchKey.Meta):
print(torch._C._meta_in_tls_dispatch_include())
print(torch._C._meta_in_tls_dispatch_include())
```
prints False, True, True, which is completely bogus | true |
2,796,212,140 | PEP585 update - torch/_inductor/fx_passes | aorenste | 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):
* __->__ #145107
See #145101 for details.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire ... | true |
2,796,211,651 | PEP585 update - torch/_inductor/codegen | aorenste | closed | [
"module: rocm",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 5 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145106
See #145101 for details.
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe... | true |
2,796,210,483 | PEP585 update - torch/_dynamo | aorenste | closed | [
"Merged",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"module: compiled autograd"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145102
* __->__ #145105
See #145101 for details.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames @xmfan @yf225 | true |
2,796,210,469 | futher scheduler changes for invoke_quant: prologue low prec, (slightly) more aggressive fusion | eellison | 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):
* __->__ #145104
Respect invoke_quant low precision options, also, be more aggressive in attepmting fusion.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf2... | true |
2,796,210,380 | Maintain multiple configs | eellison | 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):
Previously, we would finalize the config of a triton template after its first fusion. this maintains multiple configs, in case we epilogue fuse, then prologue fuse, and prologue fusion has a new better config.
cc @voznesenskym @penguinw... | true |
2,796,209,939 | PEP585 update - torch/_C torch/_decomp torch/_lazy torch/_library torch/_numpy torch/_prims torch/_refs torch/_strobelight | aorenste | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145102
* #145105
See #145101 for details. | true |
2,796,194,618 | PEP585 update - benchmarks tools torchgen | aorenste | closed | [
"Merged",
"ciflow/trunk",
"release notes: releng",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | This is one of a series of PRs to update us to PEP585 (changing Dict -> dict, List -> list, etc). Most of the PRs were completely automated with RUFF as follows:
Since RUFF UP006 is considered an "unsafe" fix first we need to enable unsafe fixes:
```
--- a/tools/linter/adapters/ruff_linter.py
+++ b/tools/linte... | true |
2,796,174,444 | `torch.onnx.export` (dynamo=False) fails with uninformative error when exporting `apply_rotary_pos_emb`/`repeat_interleave` | xenova | open | [
"module: onnx",
"triaged",
"OSS contribution wanted"
] | 3 | NONE | ### 🐛 Describe the bug
When attempting to export a HF transformers model that performs `apply_rotary_pos_emb` (definition below), an uninformative error is thrown:
<details>
<summary>See reproduction code</summary>
```py
import torch
def rotate_half(x):
"""Rotates half the hidden dims of the input."""
x... | true |
2,796,160,432 | Make MultiProcContinuousTest timeout configurable | wconstab | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 5 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145125
* #144834
* __->__ #145099
* #145011
* #145010
Allows test classes using MPCT to set their own timeout as a class
property, which is good enough since the processgroup is shared across
test instances and the timeout is set at process... | true |
2,796,153,815 | Use STL string_view header | r-barnes | closed | [
"oncall: distributed",
"oncall: jit",
"Stale",
"release notes: cpp",
"topic: improvements"
] | 2 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @EikanWang @jgong5 @wenzhe-nrv @sanchitintel | true |
2,796,136,375 | [ca] Use aot_eager on flex attention test | xmfan | closed | [
"module: rocm",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ciflow/rocm"
] | 4 | MEMBER | FIXES https://github.com/pytorch/pytorch/issues/144912
The flex attention lowering incompatibilities are covered by https://github.com/pytorch/pytorch/blob/main/test/inductor/test_flex_attention.py. For the CA + flex integration, we don't actually need to test the lowering, only the frontend graph capture.
Stack ... | true |
2,796,094,098 | DISABLED test_basic (__main__.TestPythonDispatch) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"module: __torch_dispatch__"
] | 3 | NONE | Platforms: linux, rocm, slow, win, windows, asan
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_basic&suite=TestPythonDispatch&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35778393396).
Over the pa... | true |
2,796,092,424 | cpp_wrapper/aot_inductor: handle conjugation and negation dispatch keys | benjaminglass1 | closed | [
"open source",
"Merged",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146424
* #146109
* #145683
* #145655
* #145654
* __->__ #145095
Handles conjugation and negation in the same way that runtime dispatch does: by on-the-fly cloning a tensor with either key applied.
cc @voznesenskym @penguinwu @EikanWang @jg... | true |
2,796,078,456 | Tracking issue: Incorrect Meta Strides / Turn On PyDispatcher in FakeTensor Mode | eellison | open | [
"triaged",
"oncall: pt2",
"module: fakeTensor",
"module: decompositions",
"module: pt2-dispatcher"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
Incorrect Strides can manifest in errors within torch.compile. Potentially what makes them trickier is that they only sometimes cause errors. An incorrect stride can lay dormant for a while and then cause a problem.
See, [this discussion](https://github.com/pytorch/pytorch/issues/144699#issue... | true |
2,796,073,888 | Inductor aten.clone lowering ignores Conjugate and Negative dispatch keys | benjaminglass1 | open | [
"triaged",
"actionable",
"module: correctness (silent)",
"bug",
"oncall: pt2",
"module: inductor",
"module: pt2-dispatcher"
] | 4 | COLLABORATOR | ### 🐛 Describe the bug
In runtime-dispatched `torch`, conjugation and certain forms of negation are lazily evaluated at dispatch. The current lowering for `aten.clone` ignores this. See the minimal reproducer below:
```python
import torch
fn = torch.compile(torch.ops.aten.clone.default) # this issue does not occur... | true |
2,796,033,502 | [MPSInductor] Implement `i0` and `i1` ops | malfet | closed | [
"Merged",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145092
* #145087
Using shared definitions with eager op
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppl... | true |
2,796,011,787 | [aoti] Deduplicate "V.aot_compilation" and "V.graph.aot_mode" flags. [2/n] | zhxchen17 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Summary: Following up D68122536 to remove configurable aot_mode for inner_compile
Test Plan: CI
Reviewed By: desertfire
Differential Revision: D68158512
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchu... | true |
2,795,991,723 | Test | svekars | closed | [
"Stale",
"topic: not user facing"
] | 2 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
| true |
2,795,968,542 | [POC] Extend torch function support to ALL arguments, not just scalar type (but not insides of list) | ezyang | open | [
"release notes: fx",
"no-stale"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145089
Signed-off-by: Edward Z. Yang <ezyang@meta.com> | true |
2,795,954,655 | [torchbench] torch._dynamo.exc.Unsupported: Graph break due to unsupported builtin None.morphologyEx | IvanKobzarev | open | [
"oncall: pt2",
"module: dynamo",
"oncall: export",
"pt2-pass-rate-regression"
] | 5 | CONTRIBUTOR | ### 🐛 Describe the bug
Repro:
```
python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --inference --amp --export --disable-cudagraphs --device cuda --only doctr_det_predictor
```
```
cuda eval doctr_det_predictor
ERROR:common:
Traceback (most recent call last):
File "/dat... | true |
2,795,954,316 | [MPS] Support includes in metal objects | malfet | closed | [
"Merged",
"release notes: mps",
"ciflow/mps",
"topic: devs"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145092
* __->__ #145087
Useful for code reuse for Metal shader build both for eager mode and MPSInductor, but it requires one to implement `_cpp_embed_headers` tool that, as name suggests, would preprocess and embeds the for shader to be u... | true |
2,795,951,958 | `torch.distributions`: replace `numbers.Number` with `torch.types.Number`. | randolf-scholz | closed | [
"module: distributions",
"module: typing",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: python_frontend"
] | 7 | CONTRIBUTOR | Fixes #144788 (partial)
cc @fritzo @neerajprad @alicanb @nikitaved @ezyang @malfet @xuzhao9 @gramster | true |
2,795,951,069 | Add support for torch function on dtype arguments | ezyang | closed | [
"Merged",
"ciflow/trunk",
"release notes: python_frontend",
"topic: new features"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145085
Along the lines of https://github.com/pytorch/pytorch/issues/119194 although it doesn't actually address the FCD case.
Signed-off-by: Edward Z. Yang <ezyang@meta.com> | true |
2,795,932,321 | [CI] Add xpu linux build into pull workflow | chuanqi129 | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | COLLABORATOR | To mitigate the XPU build failure risk introduced by non-XPU specific PRs. Refer #144967 & #143803 | true |
2,795,900,424 | cpp_wrapper: Move #includes to per-device header files | benjaminglass1 | closed | [
"open source",
"ciflow/trunk",
"release notes: releng",
"module: inductor",
"ciflow/inductor",
"ciflow/rocm",
"ciflow/xpu"
] | 12 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #144349
* #144293
* #144002
* __->__ #145083
This prepares us for the next PR in the stack, where we introduce pre-compiled per-device header files to save compilation time.
Reimplements https://github.com/pytorch/pytorch/pull/143909.
... | true |
2,795,829,525 | partitioner: avoid inserting duplicates into heap | bdhirsh | closed | [
"Merged",
"ciflow/trunk",
"release notes: composability",
"module: dynamo",
"ciflow/inductor",
"ciflow/inductor-perf-test-nightly"
] | 7 | CONTRIBUTOR | Fixes https://github.com/pytorch/pytorch/issues/145081
This looks like it was a source of quadratic compile times in the torchtitan CP graphs. There's some code in the partitioner that iteratively adds users of a node to a heap, and pops the earliest user. If you have long parallel chains of fusible ops that all eve... | true |
2,795,824,628 | partitioner hangs for some long chains of ops with many users | bdhirsh | closed | [
"high priority",
"triaged",
"oncall: pt2",
"module: aotdispatch",
"module: pt2-dispatcher"
] | 0 | CONTRIBUTOR | Causing the compile hang / NCCL timeout in https://fb.workplace.com/groups/1075192433118967/posts/1585106652127540/?comment_id=1585174555454083
Here's a min repro, which still hangs for me after several minutes of compiling:
```
import torch
import time
class Mod(torch.nn.Module):
def forward(self, x):
tm... | true |
2,795,749,046 | Remove FFT from stride incorrect ops | ezyang | closed | [
"Merged",
"ciflow/trunk",
"topic: bug fixes",
"release notes: dynamo"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145080
I gotta say, the FFT implementation is completely insane, there's gotta be a better way to do this than repeatedly inplace restriding the output tensor. Anyway, this is a faithful translation of both the MKL and cuFFT paths... | true |
2,795,731,426 | list comprehension in SkipFiles are always skipped with no way to override | zou3519 | closed | [
"triaged",
"oncall: pt2",
"module: dynamo"
] | 1 | CONTRIBUTOR | Proposal: list comprehensions should always be inlined and never markable as skip.
Internal xref: https://fb.workplace.com/groups/1075192433118967/posts/1585141438790728/?comment_id=1585152455456293&reply_comment_id=1586067422031463
cc @chauhang @penguinwu @voznesenskym @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper... | true |
2,795,664,212 | Don't overspecialize float when propagating cache guards to ShapeEnv | ezyang | closed | [
"module: cpu",
"Merged",
"ciflow/trunk",
"release notes: fx",
"fx",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145078
Fixes https://github.com/pytorch/pytorch/issues/142507
Signed-off-by: Edward Z. Yang <ezyang@meta.com>
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @SherlockNoMad @EikanWang @wenzhe-nrv @voznesenskym... | true |
2,795,650,611 | Negative values in stride causing error in `avg_pool2d` (on both CPU and CUDA) | WLFJ | open | [
"module: crash",
"module: error checking",
"triaged",
"actionable",
"topic: fuzzer"
] | 0 | NONE | ### 🐛 Describe the bug
Passing a tuple with negative values (such as sym_6) as the stride parameter to the `torch.nn.functional.avg_pool2d` function causes an error on both CPU and CUDA. The function currently checks for zero values but does not handle negative values, leading to unexpected behavior when negative str... | true |
2,795,627,996 | Add MSVC version condition to "Fix for MSVC problem on Windows Arm64 (#136765)" | iremyux | closed | [
"module: cpu",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 9 | COLLABORATOR | This PR adds MSVC version guards around the if block presented on f7e36d8d6f9706ee9b9653538c4c8d2ba375a181. This commit was to provide a workaround for the problem reported here: https://developercommunity.visualstudio.com/t/MSVC-loop-unrolling-problem-194033813-/10720692 .
The issue is fixed now and only appears bet... | true |
2,795,622,290 | Downgrade ignored guard to info level | ezyang | closed | [
"Merged",
"ciflow/trunk",
"release notes: fx",
"topic: not user facing",
"fx",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145075
Fixes https://github.com/pytorch/pytorch/issues/101265
Signed-off-by: Edward Z. Yang <ezyang@meta.com>
cc @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,795,611,127 | AssertionError: increase TRITON_MAX_BLOCK['X'] to 4096 Again! | filbeofITK | closed | [
"triaged",
"oncall: pt2",
"module: inductor",
"module: higher order operators",
"module: pt2-dispatcher",
"module: flex attention"
] | 2 | NONE | ### 🐛 Describe the bug
I have ran into the compile issue of flax attention modules again, where I get the notorious: `AssertionError: increase TRITON_MAX_BLOCK['X'] to 4096`.
I have read this issue: https://github.com/pytorch/pytorch/issues/135028 and tried this workaround:
`If you set torch._inductor.config.realiz... | true |
2,795,542,185 | A confusion about Bidirectional GRU | guest-oo | closed | [] | 3 | NONE | Is the output h_n valid data masked by pack?
And the data structure of h_n is independent of whether batch_first=True？
Bidirectional GRU if i choose the final hiddeni state output in both directions is h-f-t, combined with h-b-1? | true |
2,795,530,887 | Segmentation fault when passing an empty tensor to `_local_scalar_dense` | WLFJ | closed | [
"module: crash",
"module: error checking",
"triaged",
"actionable",
"module: empty tensor",
"topic: fuzzer"
] | 2 | NONE | ### 🐛 Describe the bug
Passing a tensor with size `(0,)` (empty tensor) to the `torch.ops.aten._local_scalar_dense` function results in a segmentation fault (SIGSEGV).
```python
import torch
print(torch.__version__)
var_199 = torch.rand((0,))
torch.ops.aten._local_scalar_dense(var_199)
```
output:
```
2.7.0.dev20... | true |
2,795,510,053 | Illegal memory access and segmentation fault due to large `storage_offset` in `as_strided` | WLFJ | open | [
"module: crash",
"triaged",
"topic: fuzzer"
] | 0 | NONE | ### 🐛 Describe the bug
Passing a very large value for the `storage_offset` parameter in `torch.as_strided` causes different errors on CPU and CUDA:
* On CPU, it leads to a segmentation fault (SIGSEGV).
* On CUDA, it results in an illegal memory access error when attempting to print or access the result after perform... | true |
2,795,438,332 | Segment fault on CPU and IndexError on CUDA for `_adaptive_avg_pool2d_backward` | WLFJ | closed | [
"module: crash",
"module: error checking",
"triaged",
"topic: fuzzer"
] | 1 | NONE | ### 🐛 Describe the bug
When calling the `torch.ops.aten._adaptive_avg_pool2d_backward` function with mismatched tensor dimensions, it causes a segmentation fault (SIGSEGV) on the CPU, but an `IndexError` on CUDA.
For exmple in CUDA:
```python
import torch
print(torch.__version__)
sym_0 = (1, 3, 8, 3)
sym_1 = torc... | true |
2,795,409,315 | DISABLED test_sparse_add_cuda_complex64 (__main__.TestSparseCSRCUDA) | pytorch-bot[bot] | closed | [
"module: sparse",
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped"
] | 4 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_sparse_add_cuda_complex64&suite=TestSparseCSRCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35768157832).
Over the past 3 hours, it h... | true |
2,795,409,231 | DISABLED test_autograd_in_attr (__main__.TestPythonDispatch) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"module: __torch_dispatch__"
] | 3 | NONE | Platforms: asan, linux, rocm, slow, win, windows, mac, macos
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_autograd_in_attr&suite=TestPythonDispatch&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/3... | true |
2,795,377,820 | Fix issue with test/nn/test_convolution:TestConvolutionNNDeviceTypeCUDA.test_conv_large_batch_1_cuda | rec | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 7 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145067
| true |
2,795,375,310 | SIGSEGV error when passing a 0-sized tensor to `_local_scalar_dense` | WLFJ | closed | [
"module: crash",
"triaged",
"module: empty tensor",
"topic: fuzzer"
] | 4 | NONE | ### 🐛 Describe the bug
Passing a tensor with size `(0,)` to the `torch.ops.aten._local_scalar_dense` function results in a segmentation fault (SIGSEGV).
```python
import torch
print(torch.__version__)
input = torch.randn(size=(0,))
torch.ops.aten._local_scalar_dense(input)
```
output:
```
2.7.0.dev20250116+cu124
... | true |
2,795,355,233 | SIGFPE error when passing very large kernel_size to `avg_pool1d` | WLFJ | open | [
"module: crash",
"triaged",
"topic: fuzzer"
] | 0 | NONE | ### 🐛 Describe the bug
Passing a very large value for the kernel_size parameter to the `torch.ops.aten.avg_pool1d` function results in a SIGFPE error.
```python
import torch
print(torch.__version__)
sym_0 = (0, 1)
sym_1 = torch.double
sym_2 = torch.strided
sym_3 = (9223372036854775807,)
sym_4 = (-1,)
sym_5 = (0,)
... | true |
2,795,259,369 | `_pdist_forward` causes segmentation fault for 3D tensor with last dimension of size 0 | WLFJ | open | [
"module: crash",
"module: error checking",
"triaged",
"actionable",
"module: empty tensor",
"topic: fuzzer"
] | 0 | NONE | ### 🐛 Describe the bug
When passing a 3D tensor where the last dimension has size 0 to the torch.ops.aten._pdist_forward function, a segmentation fault occurs.
```python
import torch
print(torch.__version__)
input = torch.rand((11, 15, 0))
torch.ops.aten._pdist_forward(input, p=2.0)
```
output:
```
2.7.0.dev20250... | true |
2,795,199,578 | `torch.ops.aten._local_scalar_dense` crashed on empty size tensor | WLFJ | closed | [
"module: crash",
"triaged",
"module: python frontend",
"module: edge cases"
] | 3 | NONE | ### 🐛 Describe the bug
`torch.ops.aten._local_scalar_dense` crashed on empty size tensor. For example:
```python
import torch
print(torch.__version__)
input = torch.randn(0)
res = torch.ops.aten._local_scalar_dense(input)
print(res)
```
running result on latest nightly:
```
$ python3 reproduce.py
2.7.0.dev20250... | true |
2,795,137,448 | [Intel CPU] Fix issue #143489. | RanTao123 | closed | [
"module: cpu",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | CONTRIBUTOR | Fix issue in https://github.com/pytorch/pytorch/issues/143489.
kernel_height * kernel_weight will cause Floating point exception, so we will divide by them one by one.
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 | true |
2,795,061,520 | [Inductor] optimize welford reduction | jiayisunx | closed | [
"oncall: distributed",
"open source",
"Merged",
"ciflow/trunk",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 5 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145061
Fix https://github.com/pytorch/pytorch/issues/141541.
Fix https://github.com/pytorch/pytorch/issues/142839.
Fix https://github.com/pytorch/pytorch/issues/143182.
**Summary:**
In order to fix the issue that the accura... | true |
2,794,845,154 | [CI] Add continue through error flag to xpu ci test | chuanqi129 | closed | [
"triaged",
"open source",
"ciflow/trunk",
"topic: not user facing",
"keep-going",
"ciflow/xpu"
] | 4 | COLLABORATOR | Fixes #145048
| true |
2,794,841,891 | Fix a number of flexattention issues (cse, cudagraph, etc.) | Chillee | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145059
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov | true |
2,794,802,541 | [Break XPU][Inductor UT] Fix broken XPU CI introduced by community changes | etaf | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ciflow/xpu"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145058
As title.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang ... | true |
2,794,798,011 | [2/N] Remove unnecessary once flag usage | cyyever | closed | [
"oncall: distributed",
"module: cpu",
"open source",
"Merged",
"ciflow/trunk",
"release notes: quantization",
"release notes: distributed (c10d)"
] | 3 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 | true |
2,794,763,318 | Update test_c10d_object_collectives.py with DistributedTestBase class | amathewc | closed | [
"oncall: distributed",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 22 | CONTRIBUTOR | # MOTIVATION
To generalize distributed test cases for non-CUDA devices, we are leveraging the DistributedTestBase class introduced in [PR #138216](https://github.com/pytorch/pytorch/pull/138216). This new class is derived from MultiProcessTestCase and abstracts the creation/deletion of process groups and other functio... | true |
2,794,757,353 | [Break XPU][qconv] Add torch.int8 as output dtype assertion in qconv2d_pointwise | etaf | closed | [
"open source"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145039
* __->__ #145055
* #145038
* #145037
* #145036
| true |
2,794,754,135 | Update c10d_object_collectives using DistributedTestBase | amathewc | closed | [
"oncall: distributed",
"topic: not user facing"
] | 3 | CONTRIBUTOR | # MOTIVATION
To generalize distributed test cases for non-CUDA devices, we are leveraging the DistributedTestBase class introduced in [PR #138216](https://github.com/pytorch/pytorch/pull/138216). This new class is derived from MultiProcessTestCase and abstracts the creation/deletion of process groups and other functio... | true |
2,794,706,432 | DISABLED test_nested_optimize_decorator (__main__.MiscTests) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: dynamo"
] | 2 | NONE | Platforms: linux, mac, macos
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_nested_optimize_decorator&suite=MiscTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35754430609).
Over the past 3 hours,... | true |
2,794,706,211 | DISABLED test_mps_event_module (__main__.TestMPS) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"module: macos",
"skipped",
"module: mps"
] | 2 | NONE | Platforms: mac, macos
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_mps_event_module&suite=TestMPS&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35752004692).
Over the past 3 hours, it has been deter... | true |
2,794,683,541 | [inductor][1/N] triton support post-#5512, main components | davidberard98 | closed | [
"Merged",
"topic: bug fixes",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145515
* #145348
* __->__ #145051
Triton commit 5220 adds tuple support in Triton (changing the indexing format in AttrsDescriptor) and commit 5512 replaces AttrsDescriptor with raw tuples. This is an initial PR to add support for Triton v... | true |
2,794,665,775 | Make flex_attention work if `score_mod`'s output doesn't require gradients at all | Chillee | open | [
"triaged",
"oncall: pt2",
"module: higher order operators",
"module: pt2-dispatcher",
"module: flex attention"
] | 0 | COLLABORATOR | ### 🚀 The feature, motivation and pitch
See https://github.com/pytorch/pytorch/issues/139548#issuecomment-2597509430
```
import warnings
import numpy as np
import torch
from torch.nn.attention.flex_attention import flex_attention, create_mask, create_block_mask
# import astropy_healpix as hp
hlc = 4
num_healpix_c... | true |
2,794,663,333 | Fix document for tensorboard | leoleoasd | closed | [
"triaged",
"open source",
"topic: not user facing"
] | 5 | NONE | Change 10 items to 10 bytes.
In tensorboard document:
https://github.com/tensorflow/tensorboard/blob/862a9da9b6b8dd5523b829278eb57648cd060e34/tensorboard/summary/writer/event_file_writer.py#L54-L70
and their implementation:
https://github.com/tensorflow/tensorboard/blob/862a9da9b6b8dd5523b829278eb57648cd060... | true |
2,794,641,653 | [XPU] Keep going jobs of `ciflow/xpu` when case fist failed. | etaf | closed | [
"module: ci",
"triaged",
"module: xpu"
] | 4 | COLLABORATOR | ### 🚀 The feature, motivation and pitch
Currently PyTorch's CI jobs all stop at the first failure. For XPU, we want the `ciflow/xpu` job to continue to run the whole job when it encounters a failure, and get all the failures. The reason is detailed as below:
Since `ciflow/xpu` hasn't been gating for community PRs, w... | true |
2,794,619,489 | prov logging | bobrenjc93 | closed | [
"ciflow/trunk",
"release notes: fx",
"fx",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145196
* __->__ #145047
* #143961
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv
Differential Revision: [D68349176](https://our.internmc.facebook.com/intern/diff/D68349176) | true |
2,794,518,885 | OpenReg: fix issue of pin_memory | Zhenbin-8 | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 8 | CONTRIBUTOR | Fix issue of `pin_memory` when rewrapping a storage.
cc @albanD | true |
2,794,485,333 | [pytorch/ncclx] Remove Alltoallv specialization for PTD all_to_all | wconstab | closed | [
"module: c10d",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 10 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145045
Summary:
PTD all_to_all uses a list of tensors, while ncclAllToAllv (provided
by NCCLX and RCCL) assumes that a single contiguous buffer is used.
These are fundamentally mismatched. The list of tensors might not be
contiguous... | true |
2,794,447,043 | DISABLED test_strided_inputs_dynamic_shapes_cuda (__main__.DynamicShapesGPUTests) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 6 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_strided_inputs_dynamic_shapes_cuda&suite=DynamicShapesGPUTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35749033733).
Over the past ... | true |
2,794,382,662 | Bug when using reparameterized model evaluating with DDP | NOTGOOOOD | open | [
"oncall: distributed",
"triaged"
] | 1 | NONE | ### 🐛 Describe the bug
I usually evaluate my model at the end of each training epoch. But in DDP mode, validation using the reparameterized model reports an error. If a single GPU is used for training and validation neither will report an error.
The error message is given below:
```triple quotes blocks
BUG INFO
[ran... | true |
2,794,370,161 | PyTorch VS2022 build Windows binary illegal instruction on AVX2(max ISA level) CPU | xuhancn | closed | [
"module: windows",
"low priority",
"module: cpu",
"triaged"
] | 2 | COLLABORATOR | ### 🐛 Describe the bug
# Background
Intel Team found the PyTorch Windows XPU nightly build binary occurred illegal instruction on AVX2(max ISA level) CPU, the original issue is here: https://github.com/intel/torch-xpu-ops/issues/1173
Reproduce steps:
Install the PyTorch Windows XPU binary, and then run it on Intel ... | true |
2,794,363,819 | TorchDispatchMode cann't capture the operator which name is aten::_index_put_ impl_ | yangrudan | open | [
"triaged",
"module: __torch_dispatch__"
] | 5 | NONE | ### 🐛 Describe the bug
In my understanding, **TorchDispatchMode** should capture atens which call actual kernel. When I run the code below, I found it missed **aten::\_index_put_ impl_**.
And I try to print torch ops dispatch stack, and try using profiler. They both can see **aten::\_index_put_ impl_**.
What's the ... | true |
2,794,354,421 | Issue: Illegal Memory Access in Backward Pass of `scaled_dot_product_attention` with Custom Attention Mask | bolixinyu | open | [
"triaged",
"module: sdpa"
] | 0 | NONE | ### 🐛 Describe the bug
**Bug Description:**
When using a custom attention mask in the `scaled_dot_product_attention` function, an illegal memory access error (`an illegal memory access was encountered`) occurs during the backward pass when the sequence length of `QK` (query-key) is greater than or equal to 65,536.
*... | true |
2,794,344,068 | [Break XPU][Inductor UT] Skip newly added test_logaddexp as logaddexp_xpu not implemented for ComplexFloat. | etaf | closed | [
"open source",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ciflow/xpu"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145039
* #145055
* #145038
* #145037
* #145036
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amja... | true |
2,794,344,004 | [Break XPU][Inductor UT] Generalize device bias code newly added in test_async_compile.py | etaf | closed | [
"open source",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145039
* #145055
* __->__ #145038
* #145037
* #145036
As title.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinP... | true |
2,794,343,664 | [Break XPU][Inductor UT] Skip newly added test case `test__int_mm` for XPU | etaf | closed | [
"open source",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145039
* #145055
* #145038
* __->__ #145037
* #145036
Skip as int mm not implemented for XPU.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang7... | true |
2,794,343,612 | [Break XPU][Inductor UT] Generalize device-bias code in test_fuzzer.py. | etaf | closed | [
"open source",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145039
* #145055
* #145038
* #145037
* __->__ #145036
As title. | true |
2,794,324,756 | [mps/inductor] Introduce is_mps_backend/skip_if_mps decorators. | dcci | closed | [
"Merged",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 3 | MEMBER | cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov | true |
2,794,306,935 | Use GiB on the axis of memory viz to match how we textually print it. | zdevito | closed | [
"Stale"
] | 3 | CONTRIBUTOR | I didn't do this before because d3 doesn't really support it. However, I argued with an LLM for awhile to get it to reproduce basically what d3's nice axis behavior is but have it work for 2^(10c) multiples. | true |
2,794,268,866 | Pass stack trace to generated split graph module during model splitting | zijianshen | closed | [
"fb-exported",
"release notes: fx",
"fx"
] | 8 | NONE | Summary: For debugging purpose, we may want to maintain the stack trace in the nodes of graph module.
Test Plan: More test plans in D68132673
Reviewed By: faran928
Differential Revision: D68302850
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,794,265,479 | Inference super slow with torchvision model fasterrcnn_mobilenet_v3_large_fpn | felipequentino | closed | [] | 1 | NONE | ### 🐛 Describe the bug
I have a code that realize inference of COCO classes using the fastercnn_mobilenet_v3_large_fpn model. I'm using this code for more than 5 months, but suddenly the speed of inference has slowed too much, processing less than 1 frame per second. I already reinstalled CUDA, cuDNN and PyTorch driv... | true |
2,794,260,981 | [Easy] Replace paper description with link to make a concise description. | zeshengzong | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 16 | CONTRIBUTOR | Description in [Transformer,](https://pytorch.org/docs/main/generated/torch.nn.Transformer.html), [TransformerEncoderLayer](https://pytorch.org/docs/main/generated/torch.nn.TransformerEncoderLayer.html), [TransformerDecoderLayer](https://pytorch.org/docs/main/generated/torch.nn.TransformerDecoderLayer.html) pages conta... | true |
2,794,189,309 | [draft export] count how many times a data-dep error shows up | pianpwk | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: export"
] | 5 | CONTRIBUTOR | Summary: maybe this is helpful?
Test Plan: draft_export
Differential Revision: D68303934
| true |
2,794,171,803 | Moved .all() checks for distributions to _is_all_true | Chillee | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145024
* #145059
* __->__ #145029
| true |
2,794,164,253 | [aoti] Remove torch.ops.aten._assert_tensor_metadata.default in post_grad_pass | yushangdi | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Summary:
Remove torch.ops.aten._assert_tensor_metadata.default in post_grad_pass because this op is blocking fusion.
This should not have any affect on the result, because the op would not show up in the final aoti compiled model anyway (the assertion has no effect).
An real example where this improves perform... | true |
2,794,160,648 | Implement a storage reader and writer for HuggingFace | ankitageorge | closed | [
"oncall: distributed",
"fb-exported"
] | 5 | CONTRIBUTOR | Summary: Currently for torchtune users have to download and upload to hugging face manually since our existing storage reader/writer only reads locally. This new storage writer can work with hugging face directly
Test Plan:
N6381603 shows the functionality working of saving and loading a checkpoint working end to end ... | true |
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