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 |
|---|---|---|---|---|---|---|---|---|
2,824,668,373 | [inductor] Refactor CSEProxy into global scope | jansel | closed | [
"Merged",
"Reverted",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146373
* #146297
* #146282
* #146257
* #146255
* #146254
* #146252
* #146235
* __->__ #146226
* #146225
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 ... | true |
2,824,668,329 | [inductor] Finish typing common.py | jansel | closed | [
"Merged",
"Reverted",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146373
* #146297
* #146282
* #146257
* #146255
* #146254
* #146252
* #146235
* #146226
* __->__ #146225
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 ... | true |
2,824,666,380 | [ONNX] Migrate onnx decomps into PyTorch | justinchuby | closed | [
"module: onnx",
"triaged",
"open source",
"ciflow/trunk",
"release notes: onnx",
"topic: new features",
"merging"
] | 11 | COLLABORATOR | Migrate the ATen op decomp library for ONNX ("torchlib") from ONNX Script with necessary changes in the onnx registry.
## The migration
"torchlib" is what we the decomp library from aten ops to onnx in the `onnxscript` project. (name doesn't matter, can be changed.) It is the improved version of the "symbolic fun... | true |
2,824,631,633 | What will happen? | malfet | closed | [
"Stale",
"topic: not user facing"
] | 2 | CONTRIBUTOR | null | true |
2,824,629,830 | [while_loop][inductor] support sym expression as cond_fn output | ydwu4 | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 11 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146222
As titled. Previously, we only support tensor output of cond_fn, this PR changes to also allow a shape expr to be returned in cond_fn.
aoti generated output code looks like:
```
V0203 11:28:05.750000 2611693 torch/_ind... | true |
2,824,606,727 | Incompatible Torch and Torchvision while building from source for 2.6.0 and CUDA 12.6, RuntimeError: operator torchvision::nms does not exist | ajindal1 | open | [
"module: dependency bug",
"module: build",
"triaged"
] | 3 | CONTRIBUTOR | ### 🐛 Describe the bug
Building Torch 2.6.0 using CUDA 12.6 from source and then installing torchvision wheels, will give incompatibility issue, specifically `RuntimeError: operator torchvision::nms does not exist`. This error has been discussed before on the forum and the opinion has been that there was a build issu... | true |
2,824,592,072 | Fix aten.to when input is a tensor constant | yushangdi | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 5 | CONTRIBUTOR | Summary:
Fix aten.to when input is a tensor constant.
In this case, `args_unwrapped` could just be a constant, so not a functional tensor.
Test Plan:
```
buck2 run 'fbcode//mode/dev-nosan' fbcode//caffe2/test:test_export -- -r tensor_constant_aten_to
```
Differential Revision: D68984244
| true |
2,824,585,239 | [dynamo] Disable compiling on elementwise_type_promotion_wrapper | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"keep-going"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146116
* __->__ #146219
* #146283
* #146075
| true |
2,824,573,082 | [FSDP2][DEBUG] enforcing ReduceOp.SUM to avoid bug in ReduceOp.AVG | weifengpy | closed | [
"oncall: distributed",
"Stale",
"release notes: distributed (fsdp)",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146218
workaround for https://github.com/pytorch/pytorch/issues/144045 , but not sure if we should land
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,824,560,642 | Remove stage_index_to_group_rank from schedule | H-Huang | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (pipeline)"
] | 6 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146217
* #146193
This PR allows schedules loaded via CSV to automatically set their `stage_index_to_group_rank ` and removes the `stage_index_to_group_rank ` argument from the `PipelineScheduleMulti` constructor
cc @awgu @kwen250... | true |
2,824,552,897 | [inductor] use ftz variant of exp | shunting314 | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 11 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146216
Inductor generated exp op is compiled as the following ptx snippet by Triton.
```
mul.f32 %f74, %f83, 0f3FB8AA3B;
ex2.approx.f32 %f73, %f74;
```
But if we enable --use_fast_math in nvcc, exp i... | true |
2,824,551,537 | Update Dependencies.cmake | longlene | closed | [
"triaged",
"open source",
"Stale"
] | 4 | NONE | fix cmake if check error:
“Unknown arguments specified”
Fixes #ISSUE_NUMBER
| true |
2,824,551,299 | [dynamo] Graph break on tensor.retain_grad | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"keep-going"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146116
* #146219
* #146075
* #146070
* __->__ #146214
* #146258
* #146198
* #146062
Fixes https://github.com/pytorch/pytorch/issues/146212
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wen... | true |
2,824,549,921 | while_loop cannot handle aliase when body_fn is not executed | ydwu4 | open | [
"triaged",
"oncall: pt2",
"module: higher order operators",
"module: pt2-dispatcher"
] | 4 | CONTRIBUTOR | ### 🐛 Describe the bug
In the following repro, torch.compile gives us different results with eager:
```python
import torch
class ZeroLoop(torch.nn.Module):
def forward(self, c, a):
a_view = torch.sin(a.view(-1, 1))
def cond_fn(c, a_view):
return torch.clip(a_view.sum(), 0, 1) < 0
... | true |
2,824,480,418 | [aot_eager] retain_grad is ignored | anijain2305 | closed | [
"high priority",
"triage review",
"triaged",
"oncall: pt2",
"module: pt2-dispatcher"
] | 2 | CONTRIBUTOR | ### 🐛 Describe the bug
~~~
import torch
def fn(x, y):
y.retain_grad()
return torch.sin(y) + x
x = torch.randn(4, requires_grad=True)
y = torch.cos(x)
fn(x, y).sum().backward()
print(y.grad)
print("-------")
opt_fn = torch.compile(fn, backend="aot_eager")
x = torch.randn(4, requires_grad=True)
y = torch.... | true |
2,824,477,665 | Negative index support for `take_along_dim` | mdhaber | open | [
"triaged",
"actionable",
"module: python array api",
"module: python frontend"
] | 5 | NONE | ### 🚀 The feature, motivation and pitch
I'm working on adding an implementation of `quantile` in terms of Python array API standard calls[^1] for SciPy (https://github.com/scipy/scipy/pull/22352), and I would like use of negative indices to be possible in `torch.take_along_dim`.
```python3
import torch as xp
x = xp.... | true |
2,824,475,759 | get custom operators to use exact strides | zou3519 | open | [
"triaged",
"module: custom-operators",
"oncall: pt2",
"module: pt2-dispatcher"
] | 0 | CONTRIBUTOR | Should be possible after #130243. Assigning to self so that I don't forget
cc @chauhang @penguinwu @bdhirsh @yf225 | true |
2,824,469,124 | [ONNX] Dynamo export fails for inception_v3 model | justinchuby | closed | [
"module: onnx",
"triaged"
] | 1 | COLLABORATOR | ### 🐛 Describe the bug
```py
from torchvision.models.inception import inception_v3
import torch
input = torch.randn(3, 3, 299, 299)
ep = torch.onnx.export(inception_v3(), (input,), dynamo=True, report=True, verify=True)
```
[onnx_export_2025-01-31_13-58-00-956153_accuracy.md](https://github.com/user-attachments/fi... | true |
2,824,458,904 | [export][ez] Fix generated header file. | zhxchen17 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export"
] | 5 | CONTRIBUTOR | Summary: as title.
Test Plan: CI
Differential Revision: D68978788
| true |
2,824,456,516 | [CPUInductor] Fix SVE256 detection | malfet | closed | [
"module: cpu",
"Merged",
"ciflow/trunk",
"topic: bug fixes",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"release notes: inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146207
This PR removes `torch.cpu._is_arm_sve_supported()` and replaces is with stable `torch.backends.cpu.get_cpu_capability()`
I should have reviewed https://github.com/pytorch/pytorch/pull/134672 more thoroughly, because it intro... | true |
2,824,450,053 | DISABLED test_python_val_doesnt_have_attr (__main__.TestScript) | pytorch-bot[bot] | closed | [
"oncall: jit",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: dynamo"
] | 1 | NONE | Platforms: dynamo
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_python_val_doesnt_have_attr&suite=TestScript&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36489933553).
Over the past 3 hours, it has ... | true |
2,824,449,991 | DISABLED test_ntuple_builtins (__main__.TestScript) | pytorch-bot[bot] | closed | [
"oncall: jit",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: dynamo"
] | 1 | NONE | Platforms: dynamo
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_ntuple_builtins&suite=TestScript&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36489698024).
Over the past 3 hours, it has been determi... | true |
2,824,449,943 | DISABLED test_return_stmt_not_at_end (__main__.TestScript) | pytorch-bot[bot] | closed | [
"oncall: jit",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: dynamo"
] | 1 | NONE | Platforms: dynamo
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_return_stmt_not_at_end&suite=TestScript&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36489933553).
Over the past 3 hours, it has been ... | true |
2,824,449,825 | Add "//caffe2:libtorch" to minifier TARGET file | yushangdi | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 5 | CONTRIBUTOR | Summary: as title. To avoid errors like "undefined symbol: aoti_torch_device_type_cpu" when compiling minifier_launcher.py
Test Plan: CI
Differential Revision: D68978430
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chau... | true |
2,824,444,676 | [ROCm] follow up to #138964, remove work-around | jeffdaily | closed | [
"module: rocm",
"open source",
"release notes: cuda",
"ciflow/rocm"
] | 3 | COLLABORATOR | PR #138964 used #ifdef to skip non-contig tensor copies on ROCm due to failing tests.
cc @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,824,441,236 | L-BFGS-B support | jithendaraa | open | [
"module: optimizer",
"triaged"
] | 5 | NONE | Does torch currently already support L-BFGS-B? I see the implementation of torch's LBGS, which does not seem to handle bounds.
Is there a plan for torch to support bounds with LBFGS?
cc @vincentqb @jbschlosser @albanD @janeyx99 @crcrpar | true |
2,824,369,055 | Manylinux 2.28 migration - remove pre-cxx11 abi libtorch builds | atalman | closed | [
"Merged",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Related to: https://github.com/pytorch/pytorch/issues/123649
Removing pre-cxx11 abi builds.
As per announcement : https://dev-discuss.pytorch.org/t/pytorch-linux-wheels-switching-to-new-wheel-build-platform-manylinux-2-28-on-november-12-2024/2581 | true |
2,824,368,967 | docs: change log to ln in Softplus function and class | Serenazhu | open | [
"triaged",
"open source"
] | 4 | NONE | Updated the math formula in the softplus function in torch.nn.functional.py and the Softplus class in torch.nn.modules.activation.py from log to ln for correctness and accuracy.
| true |
2,824,363,766 | [dynamo][exceptions][3.10] Clean symbolic stack on exception handling | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146116
* #146219
* #146075
* #146070
* #146214
* __->__ #146198
* #146062
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,824,341,612 | include entire GraphModule instead of current node when erroring inside of fx interpreter | bdhirsh | closed | [
"Merged",
"ciflow/trunk",
"release notes: fx",
"fx"
] | 3 | CONTRIBUTOR | This seems like it would make it easier to diagnose PT2 issues where the user cannot easily repro, and we need more info in the backtrace, e.g. in https://github.com/pytorch/pytorch/issues/134182#issuecomment-2628076114
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146197
... | true |
2,824,316,427 | [ROCm] Indexing perf optimization via Unroll/WideFetch/IdxReuse/OneDupOpt | amd-hhashemi | closed | [
"module: rocm",
"triaged",
"open source",
"release notes: cuda",
"ciflow/rocm"
] | 2 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,824,293,259 | Add non-strict export while_loop test back | ydwu4 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 9 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #143457
* #146222
* __->__ #146195
* #146194
This is fixed by https://github.com/pytorch/pytorch/pull/145762
| true |
2,824,293,145 | [hop] enable while_loop return torch.ones with unbacked symbol expression. | ydwu4 | closed | [
"Merged",
"topic: not user facing"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #143457
* #146222
* #146195
* __->__ #146194
| true |
2,824,287,429 | Add generate_stage_to_rank_mapping utility | H-Huang | closed | [
"oncall: distributed",
"Merged",
"release notes: distributed (pipeline)"
] | 1 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146217
* __->__ #146193
We use `stage_index_to_group_rank` in the stage to determine what send/recv ops and in the schedule for IR generation. However, we don't need to expose this as an argument in our schedule class, so this stack of PRs... | true |
2,824,271,030 | torch.check distributions | angelayi | closed | [] | 2 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
| true |
2,824,269,441 | [cuda] Speed up layernorm backward by ~13% by using warp shuffles for the 16x32 kernel invocation | ahmadsharif1 | open | [
"Stale",
"release notes: cuda"
] | 2 | CONTRIBUTOR | Before this PR we had 2 kernels:
1. For blocksize=32x32, this kernel *only* used warp shuffles to do the reduction
2. For blocksize=16x32, this kernel *only* used shared memory to do the reduction
This PR replaces those two kernels with a single generic kernel with template parameters for the block size.
1. Use... | true |
2,824,229,487 | Discrepancy in Dropout between DTensor and torch.Tensor | bonpyt | closed | [
"oncall: distributed"
] | 1 | NONE | ### 🐛 Describe the bug
We are seeing differences in Dropout between `DTensor` and `torch.Tensor` and we think this is due to the CUDA PRNG state changing when using `DTensor`, but not when using `torch.Tensor`.
```
#!/usr/bin/env python3
import torch
import os
from contextlib import nullcontext
from torch.distribut... | true |
2,824,198,502 | [test] | clee2000 | closed | [
"release notes: releng",
"topic: not user facing"
] | 1 | CONTRIBUTOR | nccl dist | true |
2,824,179,037 | dynamo: fsdp throw unimplemented vs attribute error | c00w | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146188
Rather than throw a full exception for fsdp, instead just return unimplemented,
and respect the user options (i.e. fullgraph, vs graph break).
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-... | true |
2,824,174,708 | [ONNX] torch.onnx.export(dynamo=True) changes optimization to default | titaiwangms | closed | [
"open source",
"Merged",
"ciflow/trunk",
"release notes: onnx",
"topic: improvements"
] | 8 | COLLABORATOR | Fixes #145897 | true |
2,824,166,265 | DISABLED test_pytree_register_nested_data_class_retraceability_non_strict (__main__.RetraceExportNonStrictTestExport) | pytorch-bot[bot] | closed | [
"module: flaky-tests",
"skipped",
"oncall: pt2",
"oncall: export"
] | 3 | NONE | Platforms: asan, linux, mac, macos, rocm, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_pytree_register_nested_data_class_retraceability_non_strict&suite=RetraceExportNonStrictTestExport&limit=100) and the most recent trunk [workflow logs](ht... | true |
2,824,166,226 | DISABLED test_repeated_calling_cuda (__main__.AOTInductorTestABICompatibleGpu) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 21 | NONE | Platforms: linux, rocm, slow, inductor
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_repeated_calling_cuda&suite=AOTInductorTestABICompatibleGpu&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36490... | true |
2,824,166,115 | DISABLED test_pytree_register_nested_data_class_training_ir_to_decomp_non_strict (__main__.TrainingIRToRunDecompExportNonStrictTestExport) | pytorch-bot[bot] | closed | [
"module: flaky-tests",
"skipped",
"oncall: pt2",
"oncall: export"
] | 3 | NONE | Platforms: asan, linux, mac, macos, rocm, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_pytree_register_nested_data_class_training_ir_to_decomp_non_strict&suite=TrainingIRToRunDecompExportNonStrictTestExport&limit=100) and the most recent tru... | true |
2,824,166,036 | DISABLED test_pytree_register_nested_data_class_serdes_non_strict (__main__.SerDesExportNonStrictTestExport) | pytorch-bot[bot] | closed | [
"module: flaky-tests",
"skipped",
"oncall: pt2",
"oncall: export"
] | 3 | NONE | Platforms: asan, linux, mac, macos, rocm, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_pytree_register_nested_data_class_serdes_non_strict&suite=SerDesExportNonStrictTestExport&limit=100) and the most recent trunk [workflow logs](https://git... | true |
2,824,134,917 | [export] Allow bypassing version check with unsafe API. | zhxchen17 | closed | [
"fb-exported",
"Stale",
"ciflow/trunk",
"release notes: export"
] | 3 | CONTRIBUTOR | Summary:
as title.
https://fb.workplace.com/groups/1028545332188949/permalink/10024343514259357/
Test Plan:
```
with torch.export._unsafe_skip_version_check():
ep = torch.export.load(...)
```
CI
Differential Revision: D68791202
| true |
2,824,092,089 | fix internal error with reorder submodules | avikchaudhuri | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: export"
] | 9 | CONTRIBUTOR | Test Plan: hard to isolate as small repro
Differential Revision: D68963033
| true |
2,824,089,657 | [AOTI] Improve readability of package_cpp_only | desertfire | closed | [
"Stale",
"topic: improvements",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146180
Summary: Made two improvements here: 1) Emit interface.cpp into a separate file instead of embedding it to the model code; 2) Add prefix to mark the generated files as model code or weights(constants).
cc @voznesenskym @pengu... | true |
2,824,079,337 | execution trace export supports gzip format | briancoutinho | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | As above, allows Chakra Execution Trace observer to support compressing files.
Usage is straightforward, just add ".gz" suffix to the output file name
```
et = ExecutionTraceObserver()
et.register_callback("my_trace.json.gz")
```
| true |
2,824,073,247 | fix internal error with reorder submodules | avikchaudhuri | closed | [
"release notes: export"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* (to be filled)
Differential Revision: [D68963033](https://our.internmc.facebook.com/intern/diff/D68963033/) | true |
2,824,066,416 | [dynamo] Revert abc change due to internal failures | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146177
* #146141
xref - https://www.internalfb.com/tasks/?t=191383874
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,824,055,500 | [executorch hash update] update the pinned executorch hash | mergennachin | closed | [
"Stale",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 7 | CONTRIBUTOR | Based on latest green in HUD https://hud.pytorch.org/hud/pytorch/executorch/main/1?per_page=50
| true |
2,824,040,204 | add WaitCounter type interface and get rid of type errors | burak-turk | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 8 | CONTRIBUTOR | Summary: as titled
Differential Revision: D68960123
| true |
2,824,028,584 | Temp disable MKL in DistributionKernels.cpp | malfet | closed | [
"module: cpu",
"Merged",
"ciflow/trunk",
"release notes: python_frontend",
"topic: bug fixes"
] | 4 | CONTRIBUTOR | Until https://github.com/pytorch/pytorch/issues/132395 is addressed
Test plan: Add test based on the script below (taken from https://discuss.pytorch.org/t/bug-in-torch-multinomial-generated-distribution-is-modestly-incorrect-edit-this-is-a-regression-and-appears-to-be-due-to-an-analogous-bug-in-tensor-exponential )... | true |
2,824,011,904 | [CI] Get rid of UCC builds | malfet | open | [
"Stale",
"topic: not user facing"
] | 13 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146173
There hasn't been any active development/testing of those in last 2 years | true |
2,824,000,579 | Factory function support for NestedTensor | soulitzer | open | [
"release notes: nested tensor",
"module: dynamo",
"ciflow/inductor",
"no-stale"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146172
* #146101
* #145922
* #141842
* #141841
* #146052
Rebase of https://github.com/pytorch/pytorch/pull/117904 removing unnecessary bits now that python nested int already holds the necessary metadata.
cc @voznesenskym @pengui... | true |
2,823,950,482 | Noob attempt at tensor_pointer_to_tensor_handle accepting const | janeyx99 | closed | [
"Stale",
"ciflow/inductor",
"release notes: inductor"
] | 3 | CONTRIBUTOR | Fairly certain this will fail lint but is there a reason creating an AtenTensorHandle is not const preserving?
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146171
| true |
2,823,940,603 | [ROCm] Tune 3d tensor sums when not using fastest dimension | doru1004 | closed | [
"module: rocm",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/periodic",
"rocm",
"ciflow/rocm",
"ciflow/inductor-rocm"
] | 6 | CONTRIBUTOR | Tune 3d tensor sums when not using fastest dimension.
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,823,935,306 | Remove trivial dispatch_key_allowlist_check function | janeyx99 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Hmmm...this _is_ removing a public function from a public C++ file. But the GH counts for this function total 83, seemingly all copying pytorch: https://github.com/search?q=dispatch_key_allowlist_check&type=code&p=1
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146169
| true |
2,823,831,780 | [dynamo] dynamo fails to compile a correct dynamic graph and lead to unexpected recompiles | yyp0 | open | [
"triaged",
"oncall: pt2",
"module: dynamic shapes",
"module: compiled autograd"
] | 5 | NONE | ### 🐛 Describe the bug
Dynamo is expected to compile a dynamic graph when some specific sizes changes. However, in our case, it seems dynamo fails to do that. Graph in the first iteration:
```
class GraphModule(torch.nn.Module):
def forward(self, L_inputs_ : list, ...):
getitem: "bf16[**4090**, 1, 4096]" ... | true |
2,823,623,434 | [inductor] Add Python type annotations to `torch/_inductor` | rec | open | [
"module: typing",
"triaged",
"better-engineering",
"oncall: pt2",
"module: inductor"
] | 6 | COLLABORATOR | ### 🚀 The feature, motivation and pitch
[Type annotations](https://docs.python.org/3/library/typing.html) make new development and maintenance easier, and sometimes find bugs.
And `torch/_inductor` is tricky, and under constant modification by disparate developers.
### How?
Adding annotations occasionally finds la... | true |
2,823,456,975 | Build problems on Windows | matteosal | closed | [
"module: build",
"module: windows",
"triaged",
"actionable"
] | 6 | NONE | My end goal is to build the pytorch libraries from source and use them via the C++ API in an external project. On Windows torch_cpu.dll fails to load into my process and the OS reports the following error:
```
Library load error 1114: A dynamic link library (DLL) initialization routine failed.
```
I have tried rebuild... | true |
2,823,395,183 | DISABLED test_serialized_source_ranges2 (__main__.TestScript) | pytorch-bot[bot] | closed | [
"oncall: jit",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: dynamo"
] | 1 | NONE | Platforms: dynamo
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_serialized_source_ranges2&suite=TestScript&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36463607655).
Over the past 3 hours, it has be... | true |
2,823,394,783 | DISABLED test_not (__main__.TestScript) | pytorch-bot[bot] | closed | [
"oncall: jit",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: dynamo"
] | 1 | NONE | Platforms: dynamo
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_not&suite=TestScript&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36463607655).
Over the past 3 hours, it has been determined flaky in... | true |
2,823,394,673 | DISABLED test_script_optional_none (__main__.TestScript) | pytorch-bot[bot] | closed | [
"oncall: jit",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: dynamo"
] | 1 | NONE | Platforms: dynamo
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_script_optional_none&suite=TestScript&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36463607655).
Over the past 3 hours, it has been de... | true |
2,823,394,592 | DISABLED test_remove_dropout (__main__.TestScript) | pytorch-bot[bot] | closed | [
"oncall: jit",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: dynamo"
] | 1 | NONE | Platforms: dynamo
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_remove_dropout&suite=TestScript&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36463607655).
Over the past 3 hours, it has been determin... | true |
2,823,394,590 | DISABLED test_pytree_register_data_class_training_ir_to_decomp_non_strict (__main__.TrainingIRToRunDecompExportNonStrictTestExport) | pytorch-bot[bot] | closed | [
"module: flaky-tests",
"skipped",
"oncall: pt2",
"oncall: export"
] | 5 | NONE | Platforms: asan, linux, mac, macos, rocm, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_pytree_register_data_class_training_ir_to_decomp_non_strict&suite=TrainingIRToRunDecompExportNonStrictTestExport&limit=100) and the most recent trunk [w... | true |
2,823,392,695 | DISABLED test_pytree_register_data_class_serdes_non_strict (__main__.SerDesExportNonStrictTestExport) | pytorch-bot[bot] | closed | [
"module: flaky-tests",
"skipped",
"oncall: pt2",
"oncall: export"
] | 4 | NONE | Platforms: asan, linux, mac, macos, rocm, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_pytree_register_data_class_serdes_non_strict&suite=SerDesExportNonStrictTestExport&limit=100) and the most recent trunk [workflow logs](https://github.c... | true |
2,823,392,661 | DISABLED test_pytree_register_data_class_retraceability_non_strict (__main__.RetraceExportNonStrictTestExport) | pytorch-bot[bot] | closed | [
"module: flaky-tests",
"skipped",
"oncall: pt2",
"export-triage-review",
"oncall: export"
] | 4 | NONE | Platforms: asan, linux, mac, macos, rocm, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_pytree_register_data_class_retraceability_non_strict&suite=RetraceExportNonStrictTestExport&limit=100) and the most recent trunk [workflow logs](https:/... | true |
2,823,302,250 | The Error Function reported should be it own | ILCSFNO | closed | [] | 3 | CONTRIBUTOR | ### 🐛 Describe the bug
The docs of [`torch.fft.rfft2()`](https://pytorch.org/docs/stable/generated/torch.fft.rfft2.html#torch-fft-rfft2), [`torch.fft.rfftn()`](https://pytorch.org/docs/stable/generated/torch.fft.rfftn.html#torch-fft-rfftn) show their shared `kw argument` as below:
> ### Keyword Arguments
> * out ([T... | true |
2,823,290,665 | AdamW refactoring broke checkpoint reloading with DCP | lw | open | [
"module: optimizer",
"triaged",
"oncall: distributed checkpointing"
] | 8 | CONTRIBUTOR | ### 🐛 Describe the bug
I have a checkpoint created around end of October (I don't remember which PyTorch version was used back then), which I'm now trying to reload with a recent nightly build. I don't think anything relevant has changed in my codebase. However, I am hitting this issue:
```
Traceback (most recent cal... | true |
2,823,258,987 | Optional tag for some parameters and kw arguments in `torch.quantile()` | ILCSFNO | open | [
"module: docs",
"triaged"
] | 2 | CONTRIBUTOR | ### 📚 The doc issue
The doc of [`torch.quantile()`](https://pytorch.org/docs/stable/generated/torch.quantile.html#torch-quantile) shows its `definition`, `parameters` and `kw arguments` as below:
> ### torch.quantile(input, q, dim=None, keepdim=False, *, interpolation='linear', out=None) → [Tensor]
> ### Parameters
... | true |
2,823,241,686 | Assertion Failure: TestBinaryUfuncsCPU.test_lerp_cpu_complex64 on Graviton 3 | kundaMwiza | open | [
"module: cpu",
"module: tests",
"triaged",
"module: correctness (silent)",
"module: arm"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
Repro:
```
python test/test_binary_ufuncs.py TestBinaryUfuncsCPU.test_lerp_cpu_complex64
```
Error:
```
Traceback (most recent call last):
in test_lerp self.assertEqual(expected, actual) File "/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4036, in assertEqual... | true |
2,823,219,801 | Parameter may not be a name of one Parameter | ILCSFNO | closed | [
"module: docs",
"module: optimizer",
"triaged"
] | 2 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
The doc of [torch.nn.utils.clip_grad_norm_()](https://pytorch.org/docs/stable/generated/torch.nn.utils.clip_grad_norm_.html#torch-nn-utils-clip-grad-norm) shows its `Parameters` as below:
> ### Parameters
> * parameters (Iterable[[Tensor](https://pytorch.org/docs/stable/tensor... | true |
2,823,155,579 | [AArch64] Build on Graviton 3 so that SVE is used in Graviton 3 tests | kundaMwiza | closed | [
"open source",
"release notes: releng"
] | 3 | CONTRIBUTOR | Currently the linux aarch64 CI that runs on pushes to main builds pytorch on Graviton 2, and tests on Graviton 2 and 3. However, by building on Graviton 2, CPU_CAPABILITY_SVE code paths are not available when the tests on Graviton 3 are run:
```yaml
linux-jammy-aarch64-py3_10-build:
name: linux-jammy-aarch64... | true |
2,823,139,186 | [torch.export] Cannot export TorchVision fasterrcnn_mobilenet_v3_large_fpn | tom-arm | open | [
"oncall: pt2",
"export-triage-review",
"oncall: export"
] | 7 | NONE | ### 🐛 Describe the bug
I want to be able to export `fasterrcnn_mobilenet_v3_large_fpn` for training, so it can be quantized. But running `torch.export.export_for_training` fails.
```python
from torchvision.models.detection import FasterRCNN_MobileNet_V3_Large_FPN_Weights
import torch
import torchvision
if __name__... | true |
2,823,054,630 | [FlexAttention] Flex attention + compile fails if head-dimension of values is different than head-dimension of query/keys | matthijsvk | closed | [
"triaged",
"oncall: pt2",
"module: higher order operators",
"module: pt2-dispatcher",
"module: flex attention"
] | 4 | NONE | ### 🐛 Describe the bug
```python
import torch
from torch.nn.attention.flex_attention import flex_attention
class Model(torch.nn.Module):
def forward(self, v_mult=1):
bsz, n_head, seq_len, qk_dim = 4, 8, 256, 64
v_dim = int(qk_dim * v_mult)
query = torch.randn(bsz, n_head, seq_len, qk_dim,... | true |
2,822,902,153 | DISABLED test_script_chunk (__main__.TestScript) | pytorch-bot[bot] | closed | [
"oncall: jit",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: dynamo"
] | 1 | NONE | Platforms: dynamo
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_script_chunk&suite=TestScript&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36461551984).
Over the past 3 hours, it has been determined... | true |
2,822,902,037 | DISABLED test_pack_unpack_state (__main__.TestScript) | pytorch-bot[bot] | closed | [
"oncall: jit",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: dynamo"
] | 1 | NONE | Platforms: dynamo
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_pack_unpack_state&suite=TestScript&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36461551984).
Over the past 3 hours, it has been deter... | true |
2,822,902,033 | DISABLED test_script_star_expr (__main__.TestScript) | pytorch-bot[bot] | closed | [
"oncall: jit",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: dynamo"
] | 1 | NONE | Platforms: dynamo
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_script_star_expr&suite=TestScript&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36461551984).
Over the past 3 hours, it has been determ... | true |
2,822,901,409 | DISABLED test_script_module_call_noscript (__main__.TestScript) | pytorch-bot[bot] | closed | [
"oncall: jit",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: dynamo"
] | 1 | NONE | Platforms: dynamo
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_script_module_call_noscript&suite=TestScript&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36461551984).
Over the past 3 hours, it has ... | true |
2,822,901,334 | DISABLED test_python_frontend_py3 (__main__.TestScript) | pytorch-bot[bot] | closed | [
"oncall: jit",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: dynamo"
] | 1 | NONE | Platforms: dynamo
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_python_frontend_py3&suite=TestScript&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36461551984).
Over the past 3 hours, it has been det... | true |
2,822,892,530 | [CUDAEvent.h] support external cuda events in cudagraphs | nmacchioni | open | [
"Stale",
"release notes: cuda"
] | 15 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146145
| true |
2,822,783,860 | Remove outdated test skipif conditions for Python3.9 | cyyever | closed | [
"oncall: jit",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 6 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @EikanWang @jgong5 @wenzhe-nrv @sanchitintel @voznesenskym @penguinwu @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,822,754,850 | Fix C++20 build errors | cyyever | closed | [
"oncall: jit",
"triaged",
"open source",
"NNC",
"release notes: jit"
] | 3 | COLLABORATOR | Without breaking C++17.
cc @EikanWang @jgong5 @wenzhe-nrv @sanchitintel | true |
2,822,666,305 | Fix condition number invertible input(s) documented results | redwrasse | closed | [
"triaged",
"open source",
"release notes: linalg_frontend"
] | 8 | CONTRIBUTOR | `torch.linalg.cond` documentation states a singular input raises a RuntimeError, though unit tests show it in fact returns `inf` (https://github.com/pytorch/pytorch/blob/main/test/test_linalg.py#L1576).
Fixes the documentation and adds an example.
It appears earlier documentation reflected this behavior (https:/... | true |
2,822,659,094 | [hotfix][dynamo] Skip linecache due to a flaky issue | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146177
* __->__ #146141
A large number of jit + dynamo wrapped tests fail in linecache tracing.
We need further debugging. Skipping for now to stem the bleeding.
https://github.com/pytorch/pytorch/issues/146076
cc @voznesenskym @penguinwu... | true |
2,822,607,909 | Apply ruff fixes to tests | cyyever | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 6 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,822,594,355 | DISABLED test_module_none_attrs (__main__.TestScript) | pytorch-bot[bot] | closed | [
"oncall: jit",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: dynamo"
] | 2 | NONE | Platforms: dynamo
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_module_none_attrs&suite=TestScript&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36448670734).
Over the past 3 hours, it has been deter... | true |
2,822,594,354 | DISABLED test_dropout_eval (__main__.TestScript) | pytorch-bot[bot] | closed | [
"oncall: jit",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: dynamo"
] | 2 | NONE | Platforms: dynamo
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_dropout_eval&suite=TestScript&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36456193176).
Over the past 3 hours, it has been determined... | true |
2,822,594,115 | DISABLED test_ternary_right_associative (__main__.TestScript) | pytorch-bot[bot] | closed | [
"oncall: jit",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: dynamo"
] | 2 | NONE | Platforms: dynamo
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_ternary_right_associative&suite=TestScript&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36448852261).
Over the past 3 hours, it has be... | true |
2,822,594,057 | DISABLED test_add_tuple_non_optional (__main__.TestScript) | pytorch-bot[bot] | closed | [
"oncall: jit",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: dynamo"
] | 2 | NONE | Platforms: dynamo
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_add_tuple_non_optional&suite=TestScript&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/36456193176).
Over the past 3 hours, it has been ... | true |
2,822,490,814 | async fx compile | aorenste | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 5 | CONTRIBUTOR | Adds the ability to run the selected out-of-process fx compile scheme in async mode - where we kick off the compile and then run eagerly until the compile is finished.
Added a test which runs a tiny model in a loop making sure that we execute it both eagerly and then compiled.
Stack from [ghstack](https://github.... | true |
2,822,490,720 | Subprocess compile | aorenste | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"release notes: fx",
"fx",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 10 | CONTRIBUTOR | Add a mode to `fx_codegen_and_compile()` to compile in a separate process. This is to prepare for async compile where we'll compile and run eager in parallel (and also be able to move the compile phase to a remote computer).
Added a test based which runs the test_torchinductor tests with subprocess compiling turned ... | true |
2,822,459,516 | Apply ruff fixes to torch/**/*py | cyyever | closed | [
"oncall: distributed",
"oncall: jit",
"triaged",
"open source",
"release notes: quantization",
"fx",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"release notes: export"
] | 1 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @EikanWang @jgong5 @wenzhe-nrv @sanchitintel @ezyang @SherlockNoMad @voznesenskym @penguinwu @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @amjames @de... | true |
2,822,431,820 | [2/N] Enable ruff F841 on distributed tests | cyyever | closed | [
"oncall: distributed",
"open source",
"Merged",
"ciflow/trunk",
"release notes: distributed (pipeline)"
] | 3 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,822,424,058 | Enable ruff F841 on distributed tests | cyyever | closed | [
"oncall: distributed",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 5 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,822,422,413 | [FSDP2] mixed precision: auto turn off `cast_forward_inputs` | leonardo0lyj | open | [
"triaged",
"module: fsdp"
] | 3 | NONE | Hi Andrew @awgu 😊,
I come again with a tiny discussion regarding the `MixedPrecision.cast_forward_inputs` 😁:
Recall the mixed precision of FSDP1 has two flags for [cast forward inputs](https://github.com/pytorch/pytorch/blob/e6704a2447a04349e6b021817a2bf2f601215e67/torch/distributed/fsdp/api.py#L226):
- `cast_forwa... | true |
2,822,398,811 | torch.compile on Mamba2 model produces NaNs | emmay78 | open | [
"triaged",
"oncall: pt2",
"module: dynamo"
] | 4 | NONE | ### 🐛 Describe the bug
Using `torch.compile` with the Inductor backend on the Mamba2 model in both fp32 and bf16 causes nans to appear in the forward pass. Removing the compile line from the reproducer below gives the expected numerical results.
Requires: `mamba_ssm`, `transformers`
Code snippet:
```
import torch
f... | true |
2,822,389,492 | TransformerEncoderLayer returns very different results on float64 | twoertwein | closed | [] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
`TransformerEncoderLayer` should return very similar results when run with float32 and float64, but they are very different:
```py
import torch
torch.manual_seed(0)
model = torch.nn.TransformerEncoderLayer(32, 1)
x = torch.rand(10, 32)
y = model(x)
y64 = model.to(dtype=torch.float64)(x.to(d... | true |
2,822,377,736 | When I try to run rt-detr model in C++ libtorch i face the given error | PranavhShetty | open | [
"oncall: jit",
"module: windows"
] | 3 | NONE | ### 🐛 Describe the bug
When I try to run rt-detr model in C++ libtorch i face the given error
Sample Code to reproduce the problem:
```cpp
#include <torch/torch.h>
#include <torch/cuda.h>
#include <torch/script.h>
#include
#include <Windows.h> // For HMODULE and basic Windows types
#include <psapi.h>
#include <open... | true |
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