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 |
|---|---|---|---|---|---|---|---|---|
3,015,052,034 | add basic unit tests and noop config | Lucaskabela | closed | [
"Merged",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151134
* __->__ #152036
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
3,015,046,806 | add basic unit tests and noop config | Lucaskabela | closed | [
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* (to be filled)
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
3,015,005,728 | RFC: Torch Native Runtime | zhxchen17 | open | [
"triaged",
"oncall: pt2"
] | 0 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
Requesting a review on a new RFC about Torch Native Runtime: https://github.com/pytorch/rfcs/pull/72
Pull Requests (for tracking purpose):
- [x] https://github.com/pytorch/pytorch/pull/151467
- [x] https://github.com/pytorch/pytorch/pull/152033
More tracked tasks (private li... | true |
3,014,997,154 | [nativert] Add moodycamel/concurrentqueue as third-party dependency | zhxchen17 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"skip-pr-sanity-checks"
] | 11 | CONTRIBUTOR | nativert RFC: https://github.com/zhxchen17/rfcs/blob/master/RFC-0043-torch-native-runtime.md
moodycamel/concurrentqueue is a high performence mpmc queue implementation and single header only. We want to add this to third_party to be used with upcoming Torch Native Runtime.
The source code is imported from commit... | true |
3,014,950,317 | RFC: The State of Custom CUDA extensions in PyTorch | msaroufim | open | [
"module: cpp-extensions",
"module: cuda",
"triaged"
] | 22 | MEMBER | ## The State of Custom CUDA extensions in PyTorch
### Background
This is a document summarizing the state of custom CUDA extensions in PyTorch. There are many tools to do this already with different tradeoffs and we will likely add even more tools with even more different tradeoffs so it's become timely to describe t... | true |
3,014,911,474 | [pytorch] reland of [cutlass backend] delay construction of cutlass presets to when called (#151875) | henrylhtsang | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 4 | CONTRIBUTOR | Differential Revision: D73524978
reland of https://github.com/pytorch/pytorch/pull/151875
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov @aakhundovr | true |
3,014,886,477 | [caffe2/c10/util/TypeIndex] Add '__CUDA_ARCH_LIST__' check | wenxin0319 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 18 | CONTRIBUTOR | Summary:
We suspect that switching the NVCC host compiler from GCC to Clang, while targeting multiple architectures, is causing issues because only _CUDA_ARCH_LIST_ is being passed, without _CUDA_ARCH_.
To resolve this c10 compilation error, we should first fix the problem and then switch the NVCC host compiler from ... | true |
3,014,870,629 | [export] improve error message for deserializing custom triton op | ydwu4 | closed | [
"Merged",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152029
In https://github.com/pytorch/pytorch/issues/151746, users ran into an error where a custom triton op cannot be resolved into an operator from string target. We improve the error message by reminding users to register the sam... | true |
3,014,821,932 | [CUDA] MultiheadAttention with masks and dropout produces NaNs | YChienHung | open | [
"module: cuda",
"triaged",
"module: correctness (silent)",
"module: sdpa"
] | 0 | NONE | ### 🐛 Describe the bug
I found the MHA exception error with the following triggering condition:
1. attn_mask=None, need_weights=False, OK
2. attn_mask=tensor[bool], need_weights=True, OK
3. attn_mask=tensor[bool], need_weights=False, find NaNs
```python
self.read_from_pixel = CrossAttention(
self.embed_dim, se... | true |
3,014,714,073 | Add rich support to torch.distributed.tensor.debug.visualize_sharding | wangkuiyi | closed | [
"oncall: distributed",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: distributed (dtensor)"
] | 11 | CONTRIBUTOR | Fixes https://github.com/pytorch/pytorch/issues/151857
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @jerryzh168 @voznesenskym @penguinwu @EikanWang @Guobing-Chen @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @ka... | true |
3,014,704,183 | Expand cache logging | oulgen | open | [
"ciflow/trunk",
"topic: not user facing"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152026
| true |
3,014,632,023 | [ONNX] Create a message to suggest users setting dynamo=True when exporting | justinchuby | closed | [
"module: onnx",
"triaged"
] | 3 | COLLABORATOR | Add a message to nudge users to try the dynamo=True option. | true |
3,014,577,086 | fbgemm packages are compiled in torchinductor torchbench tests | ngimel | open | [
"high priority",
"module: ci",
"triaged"
] | 4 | COLLABORATOR | In torchinductor torchbench workflows we compile fbgemm package for 45 minutes:
```
2025-04-22T06:59:33.9864041Z Building wheels for collected packages: fbgemm-gpu
2025-04-22T07:44:40.6897548Z Building wheel for fbgemm-gpu (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ |... | true |
3,014,487,726 | [BE] Throw different errors for CUDA exceptions | malfet | open | [] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152023
* #151955
TODO: May be we just need generic DeviceError class that preserves error code? | true |
3,014,471,550 | standalone_compile with training errors with no cache artifacts | bdhirsh | open | [
"triaged",
"oncall: pt2"
] | 2 | CONTRIBUTOR | failure at save time:
```
Traceback (most recent call last):
File "/data/users/hirsheybar/checkout2/pytorch/tmp.py", line 36, in <module>
compiled_artifact.save(path=path, format=format)
File "/data/users/hirsheybar/checkout2/pytorch/torch/_inductor/standalone_compile.py", line 73, in save
assert len(cache_... | true |
3,014,435,532 | standalone_compile load + save does not properly lift model params/buffers | bdhirsh | closed | [] | 2 | CONTRIBUTOR | resulting crash:
```
Traceback (most recent call last):
File "/data/users/hirsheybar/checkout2/pytorch/tmp.py", line 39, in <module>
compiled_out = loaded(inp)
File "/data/users/hirsheybar/checkout2/pytorch/torch/_inductor/standalone_compile.py", line 62, in __call__
return self._compiled_fn(*args)
File "... | true |
3,014,429,909 | [XPU] The updated torch-xpu-ops caused interpolate_bilinear accuracy error. | etaf | closed | [
"triaged",
"module: xpu"
] | 2 | COLLABORATOR | ### 🐛 Describe the bug
After the PR #150827 updated torch-xpu-ops, the following test case failed:
python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoXPU.test_comprehensive_nn_functional_interpolate_bilinear_xpu_float32
```
======================================================================
ERRO... | true |
3,014,314,418 | Ignore unused structured arguments in member functions | kundaMwiza | open | [
"triaged",
"open source",
"topic: not user facing"
] | 4 | CONTRIBUTOR | inplace structured overloads today do not use the `strides` in the `set_output_raw_strided` member function. For example addmv does not inherit from `TensorIterator`, so there is no `super` call in the `set_output_raw_strided` function, which can trigger a warning / error by the compiler:
```c++
}
struct structured_... | true |
3,014,237,730 | [ONNX] Exporting with `dynamo=True` and `Dim.DYNAMIC` in `dynamic_shapes` passes for `scaled_dot_product_attention`, but doesn't do anything | cyanic-selkie | closed | [
"module: onnx",
"triaged"
] | 2 | NONE | ### 🐛 Describe the bug
Basically, I'm trying to export a custom transformer model that uses `scaled_dot_product_attention` op to implement the attention layers, but I can't properly export it. Like the title says, setting `dynamic_shapes` appears to work (i.e., nothing crashes), but the exported model's input's/outpu... | true |
3,014,233,728 | Floating Point Exception on NVidia H20, torch=2.1.0+cu121 on torch.matmul(torch.zeros(64, 14688, dtype=torch.float16, device='cuda'), torch.zeros(14688, 1536, dtype=torch.float16, device='cuda')) | danpovey | open | [
"module: cuda",
"triaged"
] | 6 | CONTRIBUTOR | ### 🐛 Describe the bug
```
import torch
torch.matmul(torch.zeros(64, 14688, dtype=torch.float16, device='cuda'), torch.zeros(14688, 1536, dtype=torch.float16, device='cuda'))
```
dies with
```Floating point exception (core dumped)```
Hardware is NVidia H20. Torch version is '2.1.0+cu121'. The args must be that exa... | true |
3,014,192,132 | Loss parallel's override of log_softmax doesn't support negative dims | lw | open | [
"oncall: distributed",
"triaged"
] | 4 | CONTRIBUTOR | ### 🐛 Describe the bug
It's allowed to invoke `F.log_softmax` with a negative dimension, such as -1. However, when enabling the loss parallel context manager, the log-softmax op gets overridden with a custom impl which seems to require that the dim be positive.
```
File "/my/repo/model.py", line 228, in cross_entr... | true |
3,014,163,626 | Add CPython complex tests | guilhermeleobas | open | [
"open source",
"module: dynamo",
"ciflow/inductor"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152015
* #150797
* #150796
* #150795
* #150794
* #150793
* #150791
* #150790
* #150789
* #150788
Tests:
* test_complex.py | true |
3,014,010,882 | [ROCm][Windows] Fix HIP Caffe2 Tests | m-gallus | closed | [
"module: rocm",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 8 | CONTRIBUTOR | Solves the following problems of caffe2 HIP tests building on Windows:
1. HIP tests now use `hip_add_executable` to be built with custom_command invoking hip compiler, due to lack of cmake support for HIP in 3.18 (currently used).
2. failing with "Command line too long" which resulted from `hip_add_executable` adding... | true |
3,013,930,717 | Return ConstantVariable(None) from WithExitFunctionVariable.exit to prevent NoneType crash inside autocast exception path | wdziurdz | closed | [
"triaged",
"open source",
"topic: not user facing",
"module: dynamo"
] | 19 | CONTRIBUTOR | Fixes #152012
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
3,013,901,996 | [Dynamo] Exception raised inside torch.autocast causes crash AttributeError: 'NoneType' object has no attribute 'is_python_constant | wdziurdz | open | [
"triaged",
"oncall: pt2",
"module: dynamo"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
Since commit [511d0dd](https://github.com/pytorch/pytorch/commit/511d0dd5587394a824c917a8efd91e755704fda9)
(PT 2.7 vs 2.6) Dynamo crashes when an exception is raised inside an autocast context-manager, emitting:
```python
V0423 13:34:49.292000 1586012 torch/_dynamo/symbolic_convert.py:1239] [0/... | true |
3,013,800,270 | [WIP] fix reinplacing bug | zou3519 | open | [
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152011
There are two problems:
1) canonicalize_view_scatter_ops adds some new nodes into the graph.
These new nodes cause the alias info on the graph to be wrong. To fix
this, we try to run FakeTensorUpdater on the graph again.... | true |
3,013,799,021 | [MPS] layernorm forward kernel | Isalia20 | closed | [
"triaged",
"open source",
"Merged",
"topic: improvements",
"module: mps",
"release notes: mps",
"ciflow/mps"
] | 3 | COLLABORATOR | Implements layernorm forward pass as a metal kernel instead of MPSGraph ops. Speed ups are indicated on the chart below:
Script for generating times, need to build torch with old/new codebase and then run this with differen... | true |
3,013,670,568 | THESE PACKAGES DO NOT MATCH THE HASHES FROM THE REQUIREMENTS FILE | wzgrx | closed | [] | 0 | NONE | ### 🐛 Describe the bug
pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128
(venv) PS E:\Ai\lora-scripts> pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128
Looking in indexes: https://download.pytorch.org/w... | true |
3,013,664,506 | pinned_use_background_threads will cause a coredump | 1274085042 | open | [
"module: crash",
"triaged",
"module: CUDACachingAllocator"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
When i enable pinned_use_background_threads, the following script produces a coredump. is this due to incorrect usage on my part, or is it a bug in PyTorch itself?
```python
# test_host_caching_allocator.py
import torch
src = torch.randn(1000000, pin_memory=True)
dst = src.to("cuda", non_block... | true |
3,013,432,692 | [Kineto] Upgrade the kineto commit to fb36cce | zejun-chen | open | [
"triaged",
"open source",
"topic: not user facing",
"ciflow/binaries_wheel",
"keep-going",
"ciflow/xpu",
"release notes: xpu"
] | 30 | CONTRIBUTOR | XPU intends to upgrade oneAPI version(https://github.com/pytorch/pytorch/issues/151097) to support torch Distributed. However, the PTI within the oneAPI to be upgraded introduces breaking changes. It changed the signature of the APIs as follows.
- ptiViewEnableRuntimeApi
- ptiViewGetApiIdName
To avoid the breaks ... | true |
3,013,424,860 | How can the RCE vulnerability in torch.load(weights_only=True) be fixed? | south-ocean | closed | [
"oncall: releng",
"security"
] | 1 | NONE | A security vulnerability has been discovered in PyTorch where torch.load with weights_only=True can still lead to remote code execution (RCE). It is stated that this issue has been fixed in version 2.6 and above.
I'd like to ask whether this fix was applied automatically or through a specific commit. If it was fixed v... | true |
3,013,383,536 | DISABLED test_builtin_score_mods_float32_score_mod6_cuda_float32 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 1 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_float32_score_mod6_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40988192284)... | true |
3,013,380,955 | DISABLED test_doc_mask_sparse_cuda (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 1 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_doc_mask_sparse_cuda&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40986297636).
Over the past 3 hours, it h... | true |
3,013,380,748 | DISABLED test_builtin_score_mods_float32_score_mod1_cuda_float32 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 1 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_float32_score_mod1_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40986323576)... | true |
3,013,380,746 | DISABLED test_builtin_score_mods_float16_score_mod7_cuda_float16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 1 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_float16_score_mod7_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40986323576)... | true |
3,013,345,497 | [Don't merge] Upgrade oneDNN to v3.8-rc for XPU build | bjarzemb | open | [
"triaged",
"module: mkldnn",
"open source",
"topic: not user facing",
"ciflow/xpu",
"module: xpu",
"ciflow/linux-aarch64"
] | 8 | NONE | Fixes #ISSUE_NUMBER
cc @gujinghui @PenghuiCheng @XiaobingSuper @jianyuh @jgong5 @mingfeima @sanchitintel @ashokei @jingxu10 @min-jean-cho @yanbing-j @Guobing-Chen @Xia-Weiwen @snadampal @EikanWang @fengyuan14 @guangyey | true |
3,013,103,156 | [Inductor][CPP] Optimize the epilogue for int8 GEMM Template | leslie-fang-intel | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152000
**Summary**
For int8 GEMM Template, the micro GEMM will calculate in u8s8s32 and we will do the scale/zp compensation in the epilogue. In general, it will be calculated as:
```
temp = micro_gemm_output * x_scale * w_sca... | true |
3,013,004,718 | [Intel GPU] Enable safe softmax for XPU SDPA | LuFinch | open | [
"module: cpu",
"open source",
"release notes: xpu",
"module: xpu"
] | 7 | CONTRIBUTOR | Fix https://github.com/intel/torch-xpu-ops/issues/1432#event-16899653975
When one row of Q*K attention score is masked with `-inf`, `softmax(score)` would output `NaN` for whole row which would cause model corruption.
With this new flag, it would output `0` for whole row which is aligned with Pytorch CPU/CUDA's b... | true |
3,012,950,309 | [UniformValueConstantFolder] deduce value on CPU rather than on device | xwu-intel | open | [
"triaged",
"open source",
"topic: not user facing",
"module: inductor"
] | 4 | NONE | Deducing constant value for joint graph on CPU to reduce host-device syncs.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
3,012,907,746 | torch.compile doesnot support index with tensor | crispto | open | [
"triaged",
"oncall: pt2",
"module: dynamic shapes"
] | 2 | NONE | ### 🚀 The feature, motivation and pitch
I get error when Indexing with another Tensor in a torch.compile scope, I think this is a quiet normal scenario, is there any way to achieve this?
```
from user code:
File "/home/richard/coding/POP/decoder/unp_marginal.py", line 641, in torch_compile_compatible_marginal... | true |
3,012,892,387 | docs: add torch.e and torch.pi to constants table (#134964) | KaaustaaubShankar | open | [
"module: docs",
"triaged",
"open source",
"topic: docs",
"topic: not user facing"
] | 4 | NONE | Fixes #134964
Before
<img width="850" alt="Screenshot 2025-04-23 at 2 55 20 AM" src="https://github.com/user-attachments/assets/539f93c8-1e68-40b6-9eda-cd4d4646266c" />
After
<img width="864" alt="Screenshot 2025-04-23 at 2 55 34 AM" src="https://github.com/user-attachments/assets/16338c07-41b2-4de6-a576-... | true |
3,012,876,381 | peak memory is lower for subsequent fresh runs compared to the first run of a torch.compiled model | neeldani | closed | [
"oncall: pt2"
] | 3 | NONE | ### 🐛 Describe the bug
I am using torch.compile for LLama-2-7B from Huggingface. When I run the program the first time, the peak memory usage is higher than all subsequent fresh runs. (By fresh I mean I run the program again after it has exited). In fact, the peak memory usage is stable second run onwards.
I see thi... | true |
3,012,796,562 | tape | bobrenjc93 | closed | [
"topic: not user facing"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151994
| true |
3,012,795,091 | [SymmMem] Use cub's BlockScan instead of in-house impl for offset calculation | kwen2501 | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 8 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151993
* #151819
* #151498
* #151261
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k | true |
3,012,776,212 | [XPU][Qwen][Arc770] Bad Performance for Qwen2.5-0.5B on Arc770 with OS Ubuntu 24.10 | ZhaoqiongZ | closed | [
"triaged",
"module: xpu"
] | 2 | CONTRIBUTOR | ### 🐛 Describe the bug
model: Qwen2.5-0.5B
device: Arc770
OS: ubuntu24.10
script to reproduce
```
from transformers import AutoModelForCausalLM, AutoTokenizer
model_name = "Qwen/Qwen2.5-0.5B"
model = AutoModelForCausalLM.from_pretrained(
model_name,
torch_dtype="auto",
device_map="xpu"
)
tokenizer = A... | true |
3,012,694,498 | Fix unnecessary formating change | dharakk | closed | [
"oncall: distributed",
"topic: not user facing",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151991
* #151990
Summary:
Test Plan:
Reviewers:
Subscribers:
Tasks:
Tags:
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k | true |
3,012,665,158 | Implement util function compute_global_tensor_shape for 1D device mesh | dharakk | closed | [
"oncall: distributed",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152166
* __->__ #151990
### Summary
compute_global_tensor_shape util function takes in local tensor shape, device mesh
and placements. We all gather the shapes from the shards and according to the placement
type we construct the gl... | true |
3,012,641,274 | [inductor] Remove usage of autotune_fallback_to_aten inside inductor code | henrylhtsang | closed | [
"fb-exported",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151989
* #151988
Differential Revision: [D73478753](https://our.internmc.facebook.com/intern/diff/D73478753/)
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ip... | true |
3,012,641,210 | [inductor] Remove usage of autotune_fallback_to_aten outside inductor code | henrylhtsang | closed | [
"fb-exported",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151988
Differential Revision: [D73477120](https://our.internmc.facebook.com/intern/diff/D73477120/)
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chen... | true |
3,012,625,934 | Import Error (Build from source): Aborted (core dumped) | SonicZun | closed | [
"needs reproduction",
"module: build"
] | 2 | NONE | Hi!
source: branch v2.6.0
env: centos7 glibc2.17 gcc9.3.1
gpu: A100
I follow the instructions to build from source. `import torch` will trigger the following Exception:
```
terminate called after throwing an instance of 'std::runtime_error'
what(): Internal error while parsing type signature (2)
Aborted (core d... | true |
3,012,624,410 | Add torchcheck for replication_pad3d_backward | cz2h | open | [
"triaged",
"open source",
"topic: not user facing"
] | 4 | CONTRIBUTOR | Fixes #142833
Add check on channel dimension, logic same to the CUDA implementation https://github.com/pytorch/pytorch/blob/78bbb468c66fe56e389bf73bf626302b8e2b4cf4/aten/src/ATen/native/cuda/ReplicationPadding.cu#L347
cc @mikaylagawarecki | true |
3,012,622,240 | [whisper][Arc770][Win]XPU performance is worse than CPU | yinghu5 | open | [
"module: performance",
"triaged",
"module: xpu"
] | 1 | NONE | ### 🐛 Describe the bug
Try [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny/tree/main)
on one desktop machine with Arc 770 Windows 11
and find the performance of XPU is worse than CPU. which is not expected.
reproduce step:
1. install windows 11 on the target machine
2. install XPU driver: https:/... | true |
3,012,607,105 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod4_BLOCK_SIZE_256_cuda_float32 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_different_block_size_float32_score_mod4_BLOCK_SIZE_256_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.c... | true |
3,012,607,063 | DISABLED test_builtin_score_mods_float16_score_mod4_cuda_float16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 1 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_float16_score_mod4_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40974992610)... | true |
3,012,607,035 | DISABLED test_dependent_causal_bidirectional_float16_cuda_float16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 1 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_dependent_causal_bidirectional_float16_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40977426043... | true |
3,012,606,972 | DISABLED test_builtin_score_mods_dynamic_float16_score_mask_mod6_cuda_float16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_dynamic_float16_score_mask_mod6_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs... | true |
3,012,589,101 | [torch.compile][export] `PendingUnbackedSymbolNotFound` for `torch.full` | syheliel | open | [
"triaged",
"oncall: pt2",
"export-triaged",
"oncall: export"
] | 1 | NONE | ### 🐛 Describe the bug
```
import torch
from torch.export import export
import torch.nn as nn
class FullOp(nn.Module):
def __init__(self):
super(FullOp, self).__init__()
def forward(self, x):
return torch.full((3, 3), x)
# Example usage
if __name__ == "__main__":
model = FullOp()
... | true |
3,012,556,221 | Fix typos in meta.rst | Stonesjtu | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 7 | CONTRIBUTOR | ### Fixes made:
- "allow you to the module" → corrected to "allows you to move the module"
- "allow" → changed to "allows" to agree with the singular subject "method" | true |
3,012,535,469 | torch.gather returns incorrect output on cuda after unsqueezing and expanding with double precision | sdaulton | open | [
"triaged",
"module: scatter & gather ops"
] | 0 | NONE | ### 🐛 Describe the bug
The following code snippet returns the same element for each batch (of which there are three). The issue only occurs with double precision and with cuda, and a call to `contiguous` fixes the issue.
```
import torch
torch.manual_seed(0)
X = torch.rand(3, 5, 2, dtype=torch.float64)
device = to... | true |
3,012,531,992 | [ROCm][CI] Enabled fp8 distributed tests in test_micro_pipeline_tp.py for MI300 | akashveramd | closed | [
"oncall: distributed",
"module: rocm",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/rocm",
"ciflow/rocm-mi300"
] | 6 | CONTRIBUTOR | This PR enabled fp8 distributed tests on MI300.
For testing the added feature, ran distributed.tensor.parallel.test_micro_pipeline_tp test and all the tests passed successfully, and no tests were skipped.
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @jeffdaily @sunway513 @jithunnair-amd @pru... | true |
3,012,527,548 | [Intel GPU] undo broadcast on zero stride tensor for SDPA | LuFinch | open | [
"module: cpu",
"triaged",
"open source",
"keep-going",
"ciflow/xpu",
"release notes: xpu",
"module: xpu"
] | 19 | CONTRIBUTOR | Fix https://github.com/pytorch/pytorch/issues/152290.
The model **hubert** uses aten::expand to build attention mask by broadcasting. Pytorch uses strides[d]=0 to represent broadcast, which is not supported by oneDNN. This PR handles this scenario.
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @j... | true |
3,012,520,599 | [inductor] Remove usage of autotune_fallback_to_aten outside inductor code | henrylhtsang | closed | [
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* (to be filled)
Differential Revision: [D73477120](https://our.internmc.facebook.com/intern/diff/D73477120/)
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chen... | true |
3,012,510,679 | BM FM FlashAttention Test | czhao8863 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 10 | CONTRIBUTOR | Reviewed By: joebos
Differential Revision: D72880307
| true |
3,012,485,197 | Add lr_lambda type check in MultiplicativeLR | zeshengzong | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: optim"
] | 8 | CONTRIBUTOR | Fixes #81554
## TestResult
### Before
```python
In [3]: import torch
...: class SimpleLinearModel(torch.nn.Module):
...: def __init__(self):
...: super(SimpleLinearModel, self).__init__()
...: self.linear = torch.nn.Linear(10, 1)
...:
...: def forward(self, x):... | true |
3,012,437,149 | [1/N] Deprecate c10::string_view and at::string | cyyever | closed | [
"oncall: distributed",
"oncall: jit",
"module: cpu",
"triaged",
"open source",
"Merged",
"ciflow/binaries",
"ciflow/trunk",
"release notes: quantization",
"release notes: distributed (c10d)",
"ciflow/periodic",
"ciflow/mps",
"ciflow/inductor",
"release notes: inductor (aoti)"
] | 10 | COLLABORATOR | The calls of `c10::string_view` in the code base are replaced by `std::string_view`. The calls of `at::string` are replaced by `std::string`
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @EikanWang @jgong5 @wenzhe-nrv @sanchitintel @mingfeima @XiaobingSuper @ashokei @jingxu10 @jerryzh168 | true |
3,012,427,044 | [WIP][recompiles] verbose logging for tensor guard checks | pianpwk | open | [
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
3,012,408,354 | Fix additional inputs to error on inconsistent constants | angelayi | closed | [
"Merged",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export",
"skip-url-lint"
] | 3 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
| true |
3,012,388,663 | Unrecognized in PyTorch traces w/ Cuda 12.6 | drisspg | open | [
"oncall: profiler"
] | 0 | CONTRIBUTOR |
Repro to generate trace w/ unrecognized names:
```Py
import torch
import torch.nn as nn
import copy
from transformer_nuggets.utils.benchmark import profiler
from torchao.float8 import (
Float8LinearConfig,
convert_to_float8_training,
)
# Set up parameters for a single iteration
M_val, K_val, N_val = 1024, 1... | true |
3,012,375,088 | [Graph Partition] reorder for minimal number of partitions | BoyuanFeng | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | This pr adds an optimal reordering for minimizing #partitions.
## Optimal reordering for minimizing #partitions
A bfs could minimize #partitions (ignore peak memory for now):
1. For each node, compute node_to_indegree: dict[node, int].
2. Maintain 2 queues: cudagraphable_nodes, and non_cudagraphable_nodes. Iter... | true |
3,012,345,286 | Make `aten.embedding` do not wrap negative index | YouJiacheng | open | [
"triaged",
"open source",
"topic: not user facing",
"module: inductor"
] | 4 | CONTRIBUTOR | Fixes #151918
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
3,012,342,220 | [MPS] Fix test_neg_index_mps | dcci | closed | [
"Merged",
"Reverted",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 10 | MEMBER | cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
3,012,330,370 | [rfc][c10d] RDMA APIs (read/write, rkey) | d4l3k | open | [
"oncall: distributed",
"triaged",
"module: c10d"
] | 7 | MEMBER | There's been a recent interest and requests for RDMA like apis that can be used without requiring both sides to initiate the communication. This is useful in a number of places such as distributed inference, checkpointing, tensorstores, async training and torchft.
There's also been libraries created such as https://gi... | true |
3,012,323,064 | [MPS] Implement _print_Trunc_to_Int | dcci | closed | [
"Merged",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 3 | MEMBER | Fixes `test_device_assert_mps`
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
3,012,319,291 | [MPSInductor] Warn-cast double as floats | malfet | closed | [
"Merged",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151963
* #151872
* #151871
* #151869
To support sqrt over dynamic shapes, i.e. make something like:
```python
torch.compile(dynamic=True)(lambda x: x * math.sqrt(x.size(0))
```
compilable into
```metal
// Source node to ATen n... | true |
3,012,305,861 | [ca] hide unused scalar int sizes from dynamo | xmfan | open | [
"Merged",
"Reverted",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo",
"module: compiled autograd",
"ci-no-td"
] | 5 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151860
* #152119
* __->__ #151962
* #151731
together with https://github.com/pytorch/pytorch/pull/151731, FIXES https://github.com/pytorch/pytorch/issues/113129 https://github.com/pytorch/pytorch/issues/146168
cc @voznesenskym @penguinw... | true |
3,012,296,181 | [fake tensor] Cache None, integer and SymInts in the output | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152062
* __->__ #151961
* #151957
* #151477
* #151633
* #151409
| true |
3,012,291,456 | [rfc][c10d] First Class Object-Oriented ProcessGroup and Store APIs | d4l3k | open | [
"oncall: distributed",
"triaged",
"module: c10d"
] | 2 | MEMBER | Most users of PyTorch distributed currently use the global methods such as `dist.init_process_group` and `dist.allreduce`. These methods are showing their age when it comes to new paradigms where there may be multiple "worlds" such as in the case of reinforcement learning, checkpointing or fault tolerant scenarios such... | true |
3,012,284,695 | [FlexAttention] Remove Old Constraint on lastdim strides | drisspg | closed | [
"module: nn",
"Merged",
"ciflow/trunk",
"release notes: nn",
"topic: bug fixes",
"module: inductor",
"ciflow/inductor"
] | 13 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151959
* #151846
Fixes: #148827
cc @albanD @mruberry @jbschlosser @walterddr @mikaylagawarecki @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chen... | true |
3,012,280,551 | Inductor Tiling Rewrite | eellison | open | [
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"keep-going"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151958
Fix for https://github.com/pytorch/pytorch/issues/149982.
Summary:
This PR does two main things:
1. Rewrites the tiling heuristics. The previous tiling heuristic would have each dependency generate a tiling. Then, we ... | true |
3,012,258,064 | [invoke_subgraph] Cache fake tensor if no unbacked symint in the output | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 12 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152062
* #151961
* __->__ #151957
* #151477
* #151633
* #151409
| true |
3,012,243,868 | [inductor][profiler] lazily import things in standalone_compile | davidberard98 | open | [
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151956
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
3,012,224,820 | [CI] Update sleef submodule to v3.8 | malfet | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151955
Should help with RISC-V cross-compilation.
3.9.0 migration is blocked by sleef project switching to C++20 | true |
3,012,190,822 | DISABLED test_builtin_score_mods_float16_score_mod2_cuda_float16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 4 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_float16_score_mod2_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40960447293)... | true |
3,012,190,753 | DISABLED test_triton_kernel_to_post_grad_tracing_extern_kernel (__main__.TestProvenanceTracingArtifact) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 4 | NONE | Platforms: linux, rocm, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_triton_kernel_to_post_grad_tracing_extern_kernel&suite=TestProvenanceTracingArtifact&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch... | true |
3,012,190,566 | DISABLED test_causal_block_non_divisible_cuda (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_causal_block_non_divisible_cuda&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40959408066).
Over the past 3 ... | true |
3,012,190,393 | DISABLED test_builtin_score_mods_dynamic_float16_score_mask_mod5_cuda_float16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_dynamic_float16_score_mask_mod5_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs... | true |
3,012,190,321 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod1_BLOCK_SIZE3_cuda_float32 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_different_block_size_float32_score_mod1_BLOCK_SIZE3_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/... | true |
3,012,182,617 | [inductor][profiler] move `standalone_compile` import to TYPE_CHECKING | davidberard98 | closed | [
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151949
Fixes #151829
Allows .standalone_compile imports to be lazy, which prevents unecessary execution when importing torch._inductor.
This matters for profiler, because the profiler imports torch._inductor just to check the confi... | true |
3,012,175,303 | add tlpare logs | xuanzhang816 | open | [
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151948
| true |
3,012,172,942 | Make `torch.jit.Error` inherit from Exception | alanhdu | closed | [
"oncall: jit",
"module: typing",
"triaged",
"open source",
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 8 | CONTRIBUTOR | Summary:
I can confirm that `torch.jit.Error.mro()` contains `Exception` in the inheritance hierarchy.
This avoids a bunch of `pyre-ignore`s in D73352417.
Test Plan: Sandcastle
Differential Revision: D73464544
cc @EikanWang @jgong5 @wenzhe-nrv @sanchitintel @ezyang @malfet @xuzhao9 @gramster | true |
3,012,163,215 | [profiler] use inspect.getattr_static to avoid importing inductor | davidberard98 | open | [
"topic: not user facing"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151946
`hasattr(torch, "_inductor")` causes inductor to be imported, which is part of the issue in #151829. We can use inspect.getattr_static to do this instead, to avoid actually importing inductor. `inspect.getattr_static` will ... | true |
3,012,148,443 | standalone compile FakeTensor from_graph detection with tensor subclass outputs | zou3519 | open | [
"triaged",
"oncall: pt2"
] | 0 | CONTRIBUTOR | See https://github.com/pytorch/pytorch/pull/151788#discussion_r2054755043
cc @chauhang @penguinwu | true |
3,012,144,707 | [torchbind] fix error message when attr is a real tensor. | ydwu4 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | CONTRIBUTOR | Summary: Previously, when attr is defined, "if attr" will try to evaluate the data of attr, which is not intendended and we get a ugly error stack if the attr is not evaluable (like a fake tensor) before the callable(attr) check.
Test Plan: Existing tests.
Reviewed By: yushangdi, henryoier
Differential Revision: D73... | true |
3,012,140,729 | [c10d] Allow split_group to work with non nccl backends | deepshah133 | closed | [
"oncall: distributed",
"fb-exported",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 2 | CONTRIBUTOR | Summary: Currently things are hardcoded to only work with nccl backend. Extend it to allow NCCL + custom plugins.
Differential Revision: D73399889
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k | true |
3,012,139,108 | [PT2] - Allowlist should have precedence | flaviotruzzi | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 20 | CONTRIBUTOR | Summary: When working on List[List[int]], the ints were being considered Constants regardless of their inclusion on the allowlist.
Test Plan:
CI + new test
https://www.internalfb.com/intern/testinfra/testrun/5066549856504774
Differential Revision: D73137631
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing... | true |
3,012,120,658 | [WIP][dynamic shapes] whitelist at dim-level | pianpwk | open | [
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
3,012,119,985 | Add check for 2-dim mask to COO mask computation | aartbik | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | COLLABORATOR | Follow up on discussion on https://github.com/pytorch/pytorch/pull/151794 Related to all fixes for https://github.com/pytorch/pytorch/issues/151351
| true |
3,012,106,714 | Fix circular imports | oulgen | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151939
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
3,012,073,010 | [pytorch] use a mutex in initialize_torch_libraries | rmaz | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 7 | CONTRIBUTOR | Summary: The TORCH_LIBRARY_THREAD_UNSAFE_LAZY_INIT feature is thread unsafe for calling the initializers, but we want to allow the deferred initializer call to be safe from multiple threads. Add a mutex to ensure we have thread safe construction of the libraries post launch.
Differential Revision: D73457714
| true |
3,012,071,883 | [Inductor UT] Generalize device-bias code in `test_flex_attention.py` | anmyachev | closed | [
"triaged",
"open source",
"Merged",
"Reverted",
"topic: not user facing",
"module: inductor",
"ci-no-td"
] | 25 | COLLABORATOR | @EikanWang @etaf @guangyey please take a look
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
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