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 |
|---|---|---|---|---|---|---|---|---|
2,828,374,585 | DeepSeek: Grouped/Ragged gemm with offsets on the GPU | ngimel | open | [
"triaged",
"module: linear algebra",
"module: nestedtensor"
] | 3 | COLLABORATOR | When using token choice MoE, each expert gets varying number of tokens as input, and, in a sync-free implementation, the number of the tokens is not known on the CPU. The MoE computation needs to do several gemms with these unknown size inputs, # of gemms = number of experts on this GPU. One way to implement this is to... | true |
2,828,373,795 | Fix random crash in PyPer | shengfukevin | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | CONTRIBUTOR | Summary: PyPer saw random crashes when writing into ET file. This DIFF is to check if the output file is in condition before writing into it, and catch the exception if something bad happens, instead of crashing.
Test Plan: buck2 run mode/opt caffe2/test:test_profiler_cuda -- profiler.test_execution_trace.TestExecutio... | true |
2,828,373,324 | Tracking issue for Improvements for DeepSeek | ngimel | open | [
"oncall: distributed",
"module: float8",
"module: sdpa"
] | 4 | COLLABORATOR | DeepSeek training, as described in the paper, uses a few techniques that are currently inconvenient to implement in pytorch.
1) Token choice MoE. Routing and computation for MoE should happen without host-device syncs. After computing and ranking scores, the information on which token has to go where (and also, how ma... | true |
2,828,310,869 | [benchmark] Remove ONNX | justinchuby | closed | [
"open source",
"Merged",
"module: benchmark",
"ciflow/trunk",
"release notes: benchmark",
"module: dynamo",
"ciflow/inductor",
"topic: devs"
] | 6 | COLLABORATOR | ONNX exporter experiments in benchmark is obsolete and unmaintained. This PR removes it to unblock https://github.com/pytorch/pytorch/pull/146003
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames @atalman | true |
2,828,291,113 | [torch][amdsmi] Avoid ODR violation when loading amdsmi | danzimm | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 19 | CONTRIBUTOR | Summary:
amdsmi bundles its own copy of `libamd_smi.so`. When you're interacting with `amdsmi` from *only* python that's fine, but when you try to interact with `libamd_smi.so` from native code too this poses a problem, because from native code you'll be linking against the copy of `libamd_smi.so` from the SDK.
This m... | true |
2,828,289,391 | [easy] Add type annotation for autotune_num_choices_displayed | henrylhtsang | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Test Plan: ci
Differential Revision: D69064447
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @amjames @desertfire @chauhang @aakhundov | true |
2,828,198,171 | [dynamo][skip-function] Add missing unimplemented line | 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):
* #146339
* #146116
* __->__ #146322
This is a missing line from the merged PR in the stack below. Lets try to get this in quickly.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv... | true |
2,828,173,916 | [ONNX] Support custom axis name through dynamic_shapes | titaiwangms | closed | [
"open source",
"Merged",
"ciflow/trunk",
"release notes: onnx",
"topic: new features"
] | 12 | COLLABORATOR | Fixes #143443
This PR aims to support custom dynamic axis naming through dynamic_shapes. Currently, _Dim and _DimHint do not support dynamic axis naming (#144273).
1. **the original dynamic shapes guarantee**
The axis renaming is only applied when dynamic shapes include string instead of all _Dim and _DimHint. T... | true |
2,828,164,098 | DeepSpeed github repo move sync | stas00 | closed | [
"oncall: distributed",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | DeepSpeed has moved to a new repo on github https://github.com/deepspeedai/DeepSpeed
This PR updates this repo to use the new URL.
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,828,120,347 | [export][dynamic shapes] use size-oblivious upper bound reasoning for backed symbols | pianpwk | closed | [
"Stale",
"release notes: fx",
"fx",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,828,115,819 | Hack AC to not clear recomputed activations | soulitzer | open | [
"no-stale"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146633
* __->__ #146318
* #145399
* #145533
* #145531
* #145520
| true |
2,828,101,996 | [inductor] Improve type annotations in _inductor/pattern_matcher.py | rec | closed | [
"module: typing",
"open source",
"better-engineering",
"release notes: fx",
"topic: not user facing",
"fx",
"module: inductor",
"ciflow/inductor"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146317
* #146248
See https://github.com/pytorch/pytorch/issues/146167
cc @ezyang @malfet @xuzhao9 @gramster @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv @voznesenskym @penguinwu @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @jia... | true |
2,828,062,196 | Fix not inlining functions used in metal files | Isalia20 | closed | [
"open source",
"Merged",
"release notes: build",
"topic: bug fixes",
"ciflow/binaries_wheel"
] | 4 | COLLABORATOR | Fixes issue when building PyTorch with Xcode installed after https://github.com/pytorch/pytorch/pull/146231
```
FAILED: caffe2/aten/src/ATen/kernels_basic.metallib /Users/Irakli_Salia/Desktop/pytorch/build/caffe2/aten/src/ATen/kernels_basic.metallib
cd /Users/Irakli_Salia/Desktop/pytorch/build/caffe2/aten/src/ATen ... | true |
2,828,046,196 | [export] dynamic_shapes with `Dim` fails when `DYNAMIC` succeeds | xadupre | open | [
"oncall: pt2",
"export-triaged",
"oncall: export"
] | 3 | COLLABORATOR | ### 🐛 Describe the bug
Following example fails. I'm not sure that's an error. The only way to make it work is to use ``torch.export.Dim.DYNAMIC``. Ideally `Dim` should have the same effect as `Dim.DYNAMIC`?
```python
import torch
class Model(torch.nn.Module):
def forward(self, x, y, z):
return torch.ca... | true |
2,828,026,989 | print partial fx graph for all tracing errors | bobrenjc93 | closed | [
"release notes: fx",
"topic: not user facing",
"fx",
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146314
* #146296
* #146298
followup from discussions on earlier PRs
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv @voznesenskym @penguinwu @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @jiayisunx @chenyang78 @kadeng... | true |
2,827,919,712 | [Dynamo] fix torch._dynamo.assume_constant_result when used on class method | matthewfl | open | [
"triaged",
"open source",
"Stale",
"module: dynamo"
] | 9 | CONTRIBUTOR | This PR fixes `torch._dynamo.assume_constant_result` when it is used on a class method, and the class was instantiated inside of the dynamo traced code.
The issue: Currently when an object is modified by storing attributes on it in dynamo, the side effects of those attribute stores are tracked using the `SideEffect`... | true |
2,827,711,912 | Discrepancy in Outputs When Converting to ONNX using torch.autocast with float16 | AyoubMDL | closed | [
"module: onnx",
"triaged"
] | 9 | NONE | ### 🐛 Describe the bug
I converted a PyTorch model to ONNX inside `torch.autocast(device_type="cpu", dtype=torch.float16)` context. When running inference on both the original and converted models, I observed that the difference between their outputs is on the order of **1e-2**.
I expected a smaller error, around 1e... | true |
2,827,677,864 | Enable TemporaryFileName tests on Windows | cyyever | closed | [
"triaged",
"open source",
"module: amp (automated mixed precision)",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 9 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @mcarilli @ptrblck @leslie-fang-intel @jgong5 | true |
2,827,630,887 | Fix type stubs for SymmetricMemory | lw | closed | [
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146310
| true |
2,827,621,097 | [ARM] - Bug in SVE Vectorization, test_vec_remainder fails with torchinductor compiler error | robert-hardwick | closed | [
"module: tests",
"triaged",
"module: vectorization",
"module: arm"
] | 2 | COLLABORATOR | ### 🐛 Describe the bug
We are seeing a bug on Aarch64 Neoverse-V1
```
To execute this test, run the following from the base repo dir:
python test/inductor/test_cpu_repro.py CPUReproTests.test_vec_remainder
Error is:
‘blend’ is not a member of ‘at::vec::CPU_CAPABILITY::Vectorized<signed char>’
```
It looks to ... | true |
2,827,538,187 | Support SymmetricMemory's signaling kernels on sm60 and sm70 | lw | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146308
By leveraging libcudacxx's utilities: https://nvidia.github.io/cccl/libcudacxx/extended_api/synchronization_primitives/atomic_ref.html
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,827,419,944 | Intermittent false positives in lintrunner's mypy | rec | open | [
"module: lint",
"triaged",
"module: flaky-tests"
] | 3 | COLLABORATOR | ### 🐛 Describe the bug
### Summary
Not infrequently, lintrunner's MYPY linter seems to locally get into a bad state where it repeatably reports false positives for code where the CI correctly reports none. This has been an intermittent nuisance for me for months, and apparently a lot of Quansight developers have se... | true |
2,827,398,463 | torch.compile failed on single-node multigpu setting. | Felix-Zhenghao | open | [
"triaged",
"oncall: pt2",
"module: inductor"
] | 1 | NONE | ### 🐛 Describe the bug
I ran this code on an 8-GPU (A100) node:
```python
vla = ActionOnlyVLA(cfg.vla, vlm).to(torch.bfloat16).to(device_id)
vla = torch.compile(
model=vla,
mode="reduce-overhead",
)
```
I ran ablation and I am sure that it is torch.compile error.
### Error logs
Same error appears ... | true |
2,827,393,460 | Error message doesn't fully cover all situations | ILCSFNO | closed | [] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
The doc of [`torch.searchsorted()`](https://pytorch.org/docs/stable/generated/torch.searchsorted.html#torch-searchsorted) shows its `Keyword Arguments` as below:
> ### Keyword Arguments
> * ...
> * right ([bool](https://docs.python.org/3/library/functions.html#bool), optional) – if False, retu... | true |
2,827,082,544 | DeviceMesh API to merge multiple sub-meshes | kmehant | open | [
"oncall: distributed",
"module: DeviceMesh"
] | 1 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
It would be helpful if there is a way to merge sub meshes into single DeviceMesh. On the other hand, thank you for the slicing or sub mesh extraction support to the DeviceMesh.
### Alternatives
Currently, I only see of using `init_device_mesh()` API to recreate a DeviceMesh ... | true |
2,826,650,500 | Update slow tests | pytorchupdatebot | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/slow",
"ci-no-td"
] | 3 | COLLABORATOR | This PR is auto-generated weekly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/weekly.yml).
Update the list of slow tests. | true |
2,826,586,583 | Bahaviors of Tranforms.v2.Resize and Transforms.Resize Are Different | donglihe-hub | closed | [] | 0 | NONE | ### 🐛 Describe the bug
The expected output is a (1, 224, 224) tensor. When input is an numpy.ndarray, transforms.Resize raises
```
TypeError: Unexpected type <class 'numpy.ndarray'>
```
While transforms.v2.Resize silently runs the code without resizing the input
```
v2 passed. torch.Size([1, 1023, 587]) <class 'torc... | true |
2,826,573,231 | Possible gradient miscalculation with repeated indices in Autograd Functions `PutBackward0`, `IndexPutBackward0` and `ScatterBackward0` | mntsx | closed | [
"module: autograd",
"triaged",
"module: advanced indexing"
] | 5 | NONE | ### 🐛 Describe the bug
I think this is an incorrect behaviour for `PutBackward0`, `IndexPutBackward0` and `ScatterBackward0`:
```python
>>> import torch
>>> T = torch.zeros(size=(1,), requires_grad=True)
>>> idx = torch.tensor([0,0], dtype=torch.long)
>>> src = torch.tensor([1.0, 2.0], requires_grad=True)
>>> O = to... | true |
2,826,530,241 | log out partial fx graph when guard on data dependent during non stirct tracing | bobrenjc93 | closed | [
"Merged",
"ciflow/trunk",
"release notes: fx",
"topic: not user facing",
"fx"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146314
* #146296
* __->__ #146298
As discussed with @avikchaudhuri and @bdhirsh last week, this can be quite useful when debugging.
The following code produces a data dependent error
```
import torch
from torch import nn
# Use... | true |
2,826,528,753 | [inductor] Refactor CaptureIndexing 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
And inline SimplifyIndexing into it CaptureIndexing.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jia... | true |
2,826,488,821 | dump partial fx graph to stderr when dynamo tracing fails with guard on data-dependent | bobrenjc93 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146363
* __->__ #146296
* #146298
As discussed with @avikchaudhuri and @bdhirsh last week, this can be quite useful when debugging.
The following code produces a data dependent error
```
import torch
from torch import nn
# Use... | true |
2,826,488,556 | The result of torch.sum will show the value of NAN | anonymous-tai | closed | [
"module: NaNs and Infs"
] | 2 | NONE | ### 🐛 Describe the bug
There is no NAN in my input value, but the output value has NAN
```python
import torch
import numpy as np
[torch.sum.zip](https://github.com/user-attachments/files/18637750/torch.sum.zip)
fun = torch.sum
# Load the input from the .npz file
input = np.load('/path/to/your/input.npz')
# Check... | true |
2,826,441,369 | Enable TemporaryFileName tests on Windows | cyyever | closed | [
"open source",
"windows-triaged",
"topic: not user facing"
] | 1 | COLLABORATOR | Fixes #ISSUE_NUMBER
| true |
2,826,420,654 | [AOTI] Fix an unaligned memory access issue in mm_template | desertfire | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: bug fixes",
"module: inductor",
"ciflow/inductor",
"release notes: inductor",
"ciflow/inductor-rocm"
] | 12 | CONTRIBUTOR | Summary: Fixes a corner case in the Triton MM template, where the dimension M (dynamic size) can be smaller than BLOCK_M (similarly for the N dimenstion) can trigger unaligned memory access error.
Differential Revision: D69034578
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozh... | true |
2,826,349,917 | [mps/inductor] Add support for digamma(). | 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 @amjames @desertfire @chauhang @aakhundov | true |
2,826,324,529 | Enable some tests on Windows | cyyever | closed | [
"open source",
"topic: not user facing"
] | 4 | COLLABORATOR | Fixes #ISSUE_NUMBER
| true |
2,826,296,275 | [ c10d ] modify API to get device string from device with torch.device | ankurneog | closed | [
"oncall: distributed",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 7 | CONTRIBUTOR | Modify the ```get_default_backend_for_device()``` API to extract the device string using ```torch.device()```
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,826,282,124 | Use device agnostic APIs for device_count and backend in common_fsdp | ankurneog | open | [
"triaged",
"open source",
"module: fsdp",
"ciflow/trunk",
"topic: not user facing",
"module: hpu"
] | 28 | CONTRIBUTOR | Replace device specific APIs with device abstracted API
cc @zhaojuanmao @mrshenli @rohan-varma @awgu @fegin @kwen2501 @chauhang @jeromean @bsochack @sujoysaraswati | true |
2,826,223,366 | [Trace PyDispatcher] Capture Vmapped autograd function as graph | yanboliang | open | [
"open source",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146288
* #146272
* #146271
* #146270
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,826,204,425 | Test macos2 | cyyever | closed | [
"open source",
"release notes: dataloader"
] | 1 | COLLABORATOR | Fixes #ISSUE_NUMBER
| true |
2,826,157,418 | Non-blocking GPU to CPU copy of complex numbers with the different conj status produces wrong results | ngimel | open | [
"high priority",
"triaged",
"module: complex",
"module: correctness (silent)"
] | 2 | COLLABORATOR | ```python
import torch
def _test_copy(dst, src, non_blocking):
event = torch.cuda.Event()
dst.copy_(src, non_blocking=non_blocking)
if non_blocking:
event.record()
event.synchronize()
#print(src, dst)
return torch.equal(dst.contiguous().cpu(), src.contiguous().cpu())
for _ in rang... | true |
2,826,131,197 | [scan] Autograd with partial gradient support | bohnstingl | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"module: dynamo"
] | 9 | COLLABORATOR | This PR introduces the Autograd feature for scan with partial gradient support. It is a combination of the already opened PRs: https://github.com/pytorch/pytorch/pull/135631 and https://github.com/bohnstingl/pytorch/pull/4
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzhen... | true |
2,826,128,545 | [metal] Move digamma to special_math.h | dcci | closed | [
"Merged",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor"
] | 3 | MEMBER | cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @amjames @desertfire @chauhang @aakhundov | true |
2,826,072,280 | [dynamo] misc fixes for inspect | 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
* __->__ #146283
* #146075
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,826,044,076 | [inductor] Minor compile time optimizations in DefaultHandler | jansel | closed | [
"Merged",
"Reverted",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"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
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8... | true |
2,826,001,403 | [metal] Refactor digamma in preparation for moving it. | dcci | closed | [
"Merged",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor"
] | 3 | MEMBER | cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @amjames @desertfire @chauhang @aakhundov | true |
2,825,991,726 | [Inductor-CPU] Avoid redundant compute of index in AVX512 FP32 acc GEMM micro-kernel | sanchitintel | closed | [
"open source",
"Stale",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 2 | COLLABORATOR | `constexpr int idx` doesn't seem to help here since `idx` is equal to `i`:
```cpp
constexpr int row = i / COLS;
constexpr int col = i % COLS;
// some other code
constexpr int idx = row * COLS + col;
vc[idx] = at::vec::fmadd(va, vb[col], vc[idx]);
```
TODO
- [ ] Al... | true |
2,825,989,201 | [MPS] Add linalg det and fix lu factor for non contiguous tensors | Isalia20 | closed | [
"open source",
"Merged",
"release notes: mps",
"ciflow/mps"
] | 6 | COLLABORATOR | Requested in #77764
This PR adds support for linalg.det on MPS and fixes lu factor for non contiguous tensors, current implementation crashed on any kind of non-contiguous tensor with an error:
```
-[AGXG13XFamilyCommandBuffer blitCommandEncoderCommon:]:833: failed assertion `A command encoder is already encoding... | true |
2,825,982,194 | [inductor] Guard a member variable with a define. | dcci | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | MEMBER | It's unused otherwise, and when running MPS tests, I get a bunch of warnings of this kind:
/Users/davidino/pytorch/pytorch/torch/include/torch/csrc/inductor/aoti_runtime/model_container.h:412:10: warning: private field 'blob_size_' is not used [-Wunused-private-field]
412 | size_t blob_size_;
| ... | true |
2,825,959,514 | shapeenv and 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):
* __->__ #146277
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv
Differential Revision: [D69025488](https://our.internmc.facebook.com/intern/diff/D69025488) | true |
2,825,938,989 | [BE]: Enable ruff SLOT checks | Skylion007 | closed | [
"oncall: distributed",
"open source",
"Merged",
"ciflow/trunk",
"release notes: quantization",
"topic: not user facing",
"fx",
"module: dynamo",
"ciflow/inductor",
"release notes: export"
] | 8 | COLLABORATOR | This enables a check that which a class which only inherits from immutable classes like str, tuple, and NamedTuple, also defined `__slots__` so they don't allocate memory unnecessarily. This also ensure contributors think about how they define their classes with subclass NamedTuples and str, of which we have many in ou... | true |
2,825,911,453 | Correctly handle duplicated arguments when merging input views. | ysiraichi | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 14 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146275
Fix: #135099
This PR changes how we map the original inputs into the new set of
inputs that take in the tensor input's base instead of their aliases.
**Problem:** in order to create this mapping, we had a dictionary that
map... | true |
2,825,897,360 | torch.nn.functional.one_hot has inconsistent behavior between eager and torch.compile when num_classes=0 | meetmul | open | [
"triaged",
"actionable",
"oncall: pt2",
"module: fakeTensor",
"module: pt2-dispatcher"
] | 4 | NONE | ### 🐛 Describe the bug
When `num_classes=0`, `torch.nn.functional.one_hot` will throw `Class values must be smaller than num_classes.` under eager but outputs empty tensor under torch.compile.
```python
import torch
f = torch.nn.functional.one_hot
a = torch.arange(0, 5) % 3 # [0,1,2,0,1]
num_classes = 0
try:
to... | true |
2,825,663,845 | [dcp] Minor improvements to filesystem writer | ananthsub | open | [
"oncall: distributed",
"triaged",
"open source",
"topic: not user facing",
"release notes: distributed (checkpoint)",
"oncall: distributed checkpointing"
] | 27 | NONE | - Apply same check to `_SerialCpuLoader ` from `_OverlappingCpuLoader` for determining when to clone non-contiguous cpu tensors
- Add minor helper function to avoid iterating over `WriteItem`s twice to collect bytes and tensor write items
- Use the metadata filename constant instead of harcoding
cc @H-Huang @awg... | true |
2,825,650,506 | [Trace PyDispatcher] Add CustomFunctionHigherOrderOperatorVariable | yanboliang | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146288
* __->__ #146272
* #146271
* #146270
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,825,650,487 | [Trace PyDispatcher] Support temporarily_pop_interpreter_stack ctx manager | yanboliang | 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):
* #146288
* #146272
* __->__ #146271
* #146270
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,825,650,471 | [Dynamo][Trace PyDispatcher] Remove disable from HigherOrderOperator.__call__ | yanboliang | closed | [
"Merged",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146288
* #146272
* #146271
* __->__ #146270
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,825,650,441 | [Dynamo][Trace PyDispatcher] Support calling id function over class | yanboliang | 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):
* #146272
* #146271
* #146270
* __->__ #146269
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,825,590,916 | Enable some tests on MacOS | cyyever | closed | [
"module: macos",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @seemethere @malfet @pytorch/pytorch-dev-infra @albanD | true |
2,825,588,721 | Format tests by PYFMT | cyyever | open | [
"oncall: distributed",
"triaged",
"open source",
"Stale",
"topic: not user facing",
"ciflow/inductor",
"release notes: distributed (checkpoint)"
] | 1 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @LucasLLC @MeetVadakkanchery @mhorowitz @pradeepfn @ekr0 | true |
2,825,584,034 | Remove unused import in tests | cyyever | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"oncall: export"
] | 3 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @avikchaudhuri @gmagogsfm @zhxchen17 @tugsbayasgalan @angelayi @suo @ydwu4 @penguinwu | true |
2,825,565,634 | Add libtorch nightly build for CUDA 12.8 | tinglvv | closed | [
"module: cuda",
"triaged",
"open source",
"Merged",
"ciflow/binaries",
"ciflow/trunk",
"topic: not user facing"
] | 12 | COLLABORATOR | Try removing sm50 and sm60 to shrink binary size, and resolve the ld --relink error
"Architecture support for Maxwell, Pascal, and Volta is considered feature-complete and will be frozen in an upcoming release." from 12.8 release note.
Also updating the runner for cuda 12.8 test to g4dn (T4, sm75) due to the dro... | true |
2,825,519,752 | [ROCm] opportunistic fastatomics for ReduceAdd operations for MI300 GPUs | pragupta | closed | [
"module: rocm",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"rocm",
"keep-going",
"ciflow/inductor-rocm",
"ciflow/rocm-mi300"
] | 38 | CONTRIBUTOR | In this approach, we are catching any lane within a wave that is doing fastatomics to the same destination address and computing the sum on the CU. This is leading to 3x improvement in scatter_add performance and 2x improvement in index_select.
scatter_add performance on MI300x:
dtype|Baseline (before optimizati... | true |
2,825,517,076 | [aoti] Assign proxy call args by name, and support default values. | zhxchen17 | closed | [
"fb-exported",
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 11 | CONTRIBUTOR | Fixing the following issue when compiling the following program:
```
window = torch.hann_window(N_FFT).to(x.device)
stft = torch.stft(
x, N_FFT, HOP_LENGTH, window=window, return_complex=True
)
magnitudes = stft[..., :-1].abs() **... | true |
2,825,515,550 | Fix unreachable code | lancelotnd | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 5 | CONTRIBUTOR | Fixes #146261
Removed unreachable code | true |
2,825,515,295 | Unreachable code triggers no-return error when compiling with -Werror=return-type | lancelotnd | closed | [] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
This is a minor smell but while compiling with extra flags `-finstrument-functions` I get the following error.
```
/home/users/lancend/code/H24-Experiments/pytorch-unified/aten/src/ATen/native/xnnpack/Linear.cpp:212:1: error: control reaches end of non-void function [-Werror=return-type]
212... | true |
2,825,507,884 | flex attention NoValidChoicesError with torch 2.6 | samsja | closed | [
"triaged",
"module: regression",
"module: higher order operators",
"module: pt2-dispatcher",
"module: flex attention"
] | 7 | NONE | ### 🐛 Describe the bug
When using flex attention I am experiencing error that did not appear with torch 2.5.1.
More info here : https://github.com/PrimeIntellect-ai/prime/pull/209#issuecomment-2629145668
```bash
22:36:40 [INFO] [Rank 0] Caught an exception, terminating children
22:36:40 [INFO] [Rank 0] NoValidChoic... | true |
2,825,499,953 | [mps/inductor] Implement support for polygamma(). | 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 @amjames @desertfire @chauhang @aakhundov | true |
2,825,495,491 | [dynamo] Add return to python_type | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146116
* #146219
* #146075
* #146070
* #146214
* __->__ #146258
* #146198
* #146062
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amja... | true |
2,825,483,114 | [inductor] Refactor op handlers part 5 | jansel | closed | [
"module: cpu",
"Merged",
"Reverted",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146373
* #146297
* #146282
* __->__ #146257
* #146255
* #146254
* #146252
This makes OpHandler just a normal class using inheritance, and removes typing workarounds needed because it wasn't
cc @jgong5 @mingfeima @XiaobingSuper @sanchiti... | true |
2,825,424,793 | use copy2d in h2d/d2h copy when possible | ngimel | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"release notes: cuda",
"ciflow/slow",
"ci-no-td"
] | 15 | COLLABORATOR |
A rewrite of #138964
In addition to rewriting the conditions for using copy2d, this PR fixes a few other problems with #138964:
1) gpu-gpu copies when peer access is disabled shouldn't rely on copy2d
2) copy2d should record even for the host pinned memory, like the regular copy does
3) copy2d shouldn't pretend t... | true |
2,825,404,069 | [inductor] Refactor op handlers part 4 | jansel | closed | [
"Merged",
"Reverted",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"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
This replaces the `__getattr__()` pattern used in remaining OpHandlers with a `DefaultHandler` class defined in part 2.
Some compile time wins from this as well... | true |
2,825,404,025 | [inductor] Refactor op handlers part 3 | 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
Fixes type errors that arise from typing `V.ops`.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @j... | true |
2,825,401,001 | [mps] Move polygamma to special_math.h. | dcci | closed | [
"Merged",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor"
] | 3 | MEMBER | In preparation to implement it in inductor.
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @amjames @desertfire @chauhang @aakhundov | true |
2,825,370,926 | [inductor] Refactor op handlers part 2 | jansel | closed | [
"Merged",
"Reverted",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146373
* #146297
* #146282
* #146257
* #146255
* #146254
* __->__ #146252
This replaces the `__getattr__()` pattern used in (some) OpHandlers with a `DefaultHandler` class that has an implementation of every op that calls `self._default()`... | true |
2,825,369,624 | fatal error: torch/torch.h: No such file or directory #include <torch/torch.h> | pgn-penguin | closed | [] | 2 | NONE | Hi, I’m trying to create a custom c++ extension but get stuck with #include < torch/extension.h > with the error:
`interrpolation.cpp:1:29: fatal error: torch/extension.h: No such file or directory
#include <torch/extension.h>`
Just wondering that torch can been detected just like below, but just kept getting errors... | true |
2,825,364,605 | Feature Request: Support for .to(device) on DataLoader objects | Arpon-programmer | closed | [] | 0 | NONE | ### 🚀 The feature, motivation and pitch
Currently, in PyTorch, moving tensors to a specific device (like GPU or CPU) requires manually iterating through each batch in the DataLoader and calling .to(device) on individual elements. While this is not overly complex, it would be much more convenient if DataLoader could d... | true |
2,825,361,489 | Replace `*args : Any` with `typing_extensions.TypeVarTuple` | Skylion007 | open | [
"module: typing",
"triaged"
] | 1 | COLLABORATOR | ### 🚀 The feature, motivation and pitch
There are a lot of times we forward positional args to superclasses or other methods with `*args`. We should be using typing_extensions.TypeVarTuple whenever possible to forward these args whenever possible. TypedDict are a great way to type Kwargs, but probably only worth doin... | true |
2,825,347,881 | Make fx.node.map_arg() and .map_aggregate() generic | rec | closed | [
"oncall: distributed",
"module: typing",
"open source",
"better-engineering",
"Merged",
"ciflow/trunk",
"release notes: fx",
"topic: not user facing",
"fx",
"module: dynamo",
"ciflow/inductor",
"suppress-api-compatibility-check",
"suppress-bc-linter"
] | 39 | COLLABORATOR | ## What's the problem?
The popular `fx.node.map_arg()` and `fx.node.map_aggregate()` apply operations recursively on `dict`s, `tuples`, `list`s, etc, and return a new collection of the same type.
Unfortunately, their base input type is `Argument`, which is [very unspecific indeed](https://github.com/pytorch/pytor... | true |
2,825,346,420 | torch/nn/modules/conv.py: docs: improvements | kuraga | open | [
"triaged",
"open source",
"Stale",
"topic: not user facing"
] | 4 | CONTRIBUTOR | Fix highlighting in generated documentation (`torch/nn/modules/conv.py`):
* attrs should be `:attrs:`,
* constants should be constants,
* text in math should be '\text{}`.
Reborn of #136218.
/cc @albanD, @jbschlosser, @mikaylagawarecki | true |
2,825,329,023 | [BE][Ez]: Make c10/special arrays constexpr | Skylion007 | closed | [
"open source",
"better-engineering",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | COLLABORATOR | No reason to have array creation overhead for these constexpr arrays. This is better because it guarantees the array is not duplicated across templates or translation units unless necessary and allows the compiler to do static compile time bounds checking (even in loop based accesses) | true |
2,825,317,568 | [BE]: Remove redundant int cast calls | Skylion007 | closed | [
"oncall: distributed",
"open source",
"better-engineering",
"release notes: quantization",
"release notes: distributed (fsdp)",
"ciflow/inductor"
] | 2 | COLLABORATOR | Remove redundant int cast calls
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,825,245,720 | Simplify CUDA version checking on tests | cyyever | closed | [
"oncall: distributed",
"triaged",
"open source",
"release notes: distributed (c10d)"
] | 1 | COLLABORATOR | Since we require CUDA >=11.0
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,825,235,302 | Enable some tests on Windows | cyyever | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | COLLABORATOR | Fixes #ISSUE_NUMBER
| true |
2,825,206,484 | "Automatically add `__all__`" tool and linter | rec | open | [
"module: typing",
"module: lint",
"triaged",
"better-engineering"
] | 4 | COLLABORATOR | ### Automatically add `_all__` (AAA)
I have been [playing around](https://github.com/rec/test/blob/master/python/importer_counter.py) with using Python's built-in `tokenizer` to build a big sorted table of which `torch.` modules import which modules and symbols from `torch.` (summary at end).
Seeing [this issue](htt... | true |
2,825,205,942 | How to perform BF16 matrix multiplication so that multiplication is done in BF16 and summation is done in FP32 efficiently using pytorch API? | Wongboo | closed | [
"module: cuda",
"triaged",
"module: linear algebra",
"module: python frontend",
"matrix multiplication"
] | 7 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
NVIDIA's cutlass library can perform BF16 matrix multiplication so that multiplication is done in BF16 and summation is done in FP32 for improved numerical stability. For example, consider the following snippet from [this code example from flash-attention](https://github.com/Da... | true |
2,825,142,807 | Win32 Build crashes on startup (C++). | AnFunctionArray | open | [
"needs reproduction",
"module: build",
"module: windows",
"triaged"
] | 2 | NONE | ### 🐛 Describe the bug
Win32 build with msvc2022 and protoc.exe from latest pytorch pip python library and cuda12.6 - crashes when linked and ran by executable at startup in c10.dll (when linked and ran with downloaded latest pytorch win32 libraries online it works).
*The executable is C++ project*
### Versions
Un... | true |
2,825,129,852 | torch_shm_manager: undefined reference to gloo | adamjstewart | open | [
"module: build",
"module: cuda",
"triaged"
] | 17 | CONTRIBUTOR | ### 🐛 Describe the bug
I'm seeing PyTorch 2.6.0 build issues, but only when compiling with CUDA support and using the system gloo. The specific error message is:
```
[7209/7228] Linking CXX executable bin/torch_shm_manager
FAILED: bin/torch_shm_manager
: && /builds/spack/spack/lib/spack/env/gcc/g++ -D_GLIBCXX_U... | true |
2,825,109,965 | Remove NOLINTNEXTLINE | cyyever | closed | [
"oncall: distributed",
"module: cpu",
"open source",
"Merged",
"ciflow/trunk",
"release notes: quantization"
] | 9 | 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 |
2,825,090,670 | [2/N] Fix cppcoreguidelines-init-variables suppression | cyyever | open | [
"triaged",
"open source",
"topic: not user facing"
] | 6 | COLLABORATOR | This PR removes all `cppcoreguidelines-init-variables` suppressions.
| true |
2,825,000,332 | [Rosetta] Can not get the correct MacOS version | smartliuhw | closed | [
"low priority",
"triaged",
"module: macos",
"module: intel",
"module: mps"
] | 2 | NONE | ### 🐛 Describe the bug
I'm trying to use a bf16 tensor on MPS, but got the error message: ``MPS BFloat16 is only supported on MacOS 14 or newer``.
However, my MacOS version is 15.3, but the torch cannot recognize the system version.
This is the result of my test
```python
>>> import torch
>>> torch.backends.mps.is_... | true |
2,824,957,495 | [inductor] Refactor op handlers part 1 | jansel | closed | [
"Merged",
"Reverted",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"module: dynamo",
"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
This enforces the invariant that every backend implements the same set of ops and removes a layer of indirection for BasicMathOps.
I... | true |
2,824,952,011 | [1/N] Fix F401 errors in tests | cyyever | open | [
"triaged",
"open source",
"Stale",
"topic: not user facing"
] | 8 | COLLABORATOR | Fixes #ISSUE_NUMBER
| true |
2,824,871,096 | Remove unactivated test | cyyever | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | COLLABORATOR | Fixes #ISSUE_NUMBER
| true |
2,824,799,706 | Disable has_relational_guards check for dict_tag optimization for now | isuruf | closed | [
"open source",
"Merged",
"ciflow/trunk",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #146232
has_relational_guards evaluates to true almost always, and leads to a
slowdown in guards runtime
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang... | true |
2,824,771,130 | [mps] Move zeta() to special_math.h. | dcci | closed | [
"Merged",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor"
] | 3 | MEMBER | In preparation for implementing digamma/polygamma
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @amjames @desertfire @chauhang @aakhundov | true |
2,824,737,932 | [cutlass backend] Add instantiation level for generating configs | henrylhtsang | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 10 | CONTRIBUTOR | Passing through instantiation level to generate more configs.
I do see some C++ compilation error. But running is fine. Using 2222 generates 1k+ configs.
Differential Revision: D68989194
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @i... | true |
2,824,714,744 | [ca] no longer require is_traceable annotations for c++ autograd functions | xmfan | closed | [
"Merged",
"ciflow/trunk",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo",
"module: compiled autograd"
] | 3 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146386
* __->__ #146229
This PR removes the CA compile-time error for C++ autograd functions, and supports them by having dynamo graph break on them (instead of allow_in_graph). The CppNode's collects are kept as is for now.
cc @voznese... | true |
2,824,688,295 | [PT2][Inductor][reland] Add runtime numeric check for the post grad pass | mengluy0125 | closed | [
"fb-exported",
"Stale",
"module: inductor",
"ciflow/inductor",
"release notes: inductor",
"ci-no-td"
] | 6 | CONTRIBUTOR | Summary: We observed compilation time regression with previous diff implementation D63438718. Here we fix the issue and reland the diff
Test Plan:
### numeric check enablement test
```
buck2 run mode/opt //scripts/jackiexu0313/pt2:local_model_with_pt2 -- --test_mode batch --use_synthetic_data --flow_id 685229965 -n
... | true |
2,824,685,430 | [ROCm][TunableOp] Add bias data type to params signature. | naromero77amd | closed | [
"module: rocm",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/rocm-mi300"
] | 3 | COLLABORATOR | Add bias vector data type in TunableOp params signature.
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang | true |
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