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 |
|---|---|---|---|---|---|---|---|---|
2,999,191,210 | Fix implicit state dict modification | tugsbayasgalan | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: export"
] | 5 | CONTRIBUTOR | Summary: Previously we were modyfing ep.state_dict while runnning decomp which it shouldn't
Test Plan: CI
Fixes: https://github.com/pytorch/pytorch/issues/151366
Differential Revision: D73102315
| true |
2,999,179,420 | [inductor] Reduce runtime of CPU OpInfo tests | benjaminglass1 | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 7 | COLLABORATOR | `has_triton()` returns True if Triton is present on the system and supports _any_ backend we care about. In this case, that means we _always_ check gradients, even though the intended behavior is to skip gradients when testing on CPU.
Fixes a bug from #146911.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobi... | true |
2,999,167,770 | Implement fexp for avx2 and avx512 | timocafe | closed | [
"oncall: distributed",
"module: cpu",
"module: mkldnn",
"open source",
"module: amp (automated mixed precision)",
"NNC",
"release notes: quantization",
"release notes: releng",
"module: inductor",
"module: dynamo",
"release notes: distributed (checkpoint)",
"module: compiled autograd"
] | 3 | NONE | **Optimization Flash Attention for X86 with F16 support**
Malossi and all in 2015 has published a paper with a fine control of the precision and using a clever tips of the binary representation of the floating pointing for the exp function which is the bottleneck of the flash attention. I implemented this fexp into ... | true |
2,999,017,738 | The compare interface of the memory snapshot visualization tool “_memory_viz.py” has a bug | zhangxixi1993 | open | [
"module: cuda",
"module: memory usage",
"triaged",
"oncall: profiler"
] | 1 | NONE | ### 🐛 Describe the bug
`
def compare(before, after, format_flamegraph=format_flamegraph):
def _seg_key(seg):
return (seg['address'], seg['total_size']) # **!!!panic: string indices must be integers**. seg is string， not a dict
def _seg_info(seg):
return f'stream_{seg["stream"]};seg_{seg["addr... | true |
2,998,884,920 | [inductor] `proxy_tensor.py` throws `SyntaxError` when using `.random_` | shaoyuyoung | open | [
"high priority",
"triaged",
"oncall: pt2",
"module: pt2-dispatcher",
"dynamo-triage-jan2025"
] | 2 | CONTRIBUTOR | ### 🐛 Describe the bug
**symptom**: `proxy_tensor.py` throws `SyntaxError` when using `.random_`
**device backend**: both CPP and triton
**repro**
```python
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch._inductor import config
config.fallback_random = True
torch.set_grad_enabled(False... | true |
2,998,869,315 | Add HostAllocator as the unified parent class | guangyey | closed | [
"open source",
"Merged",
"ciflow/trunk",
"release notes: cpp",
"ciflow/xpu",
"module: accelerator"
] | 4 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151531
* #151439
* #151437
* __->__ #151431
# Motivation
This PR introduces a unified parent class `HostAllocator` with the following goals:
1. Enable backend-specific host allocator registration, including support for out-of-tree backen... | true |
2,998,830,388 | Onnx Export doesn't acknowledge dynamic_dict for 2D Tensors (Cannot use dynamic dimensions for Points and Labels in Sam) | FabianSchuetze | closed | [
"oncall: pt2"
] | 2 | CONTRIBUTOR | ### 🐛 Describe the bug
The following code shows that torch.onnx.export doesn't produce a graph with variable input sizes for 2D tensors:
```
import torch
class Module(torch.nn.Module):
def forward(self, points, labels, image):
return points
if __name__ == "__main__":
model = Module()
image = ... | true |
2,998,792,484 | Update docker image names for s390x release | AlekseiNikiforovIBM | open | [
"open source",
"topic: not user facing",
"ciflow/binaries_wheel"
] | 1 | COLLABORATOR | Disable switching tag for s390x docker images
Keep it that way unless they are published.
There's no way to determine in advance
which docker image names are needed
for building s390x binaries otherwise.
This is a copy of https://github.com/pytorch/pytorch/pull/151426 for release branch. | true |
2,998,766,717 | TorchScript Model Saved on x86 Returns NaNs When Loaded on s390x | KanakaPathivada | open | [
"oncall: jit"
] | 1 | NONE | ### 🐛 Describe the bug
I trained a simple LSTM model on the Iris dataset using PyTorch on an **x86 (little-endian)** system. I then saved the model using both `torch.jit.trace()` and `torch.jit.script()`.
When loading this `.pt` scripted model on an **s390x (big-endian)** architecture, the model loads **without erro... | true |
2,998,760,786 | [Easy][Building] Fix the warning of int4mm.cu when building | FFFrog | closed | [
"open source",
"Merged",
"ciflow/trunk",
"release notes: cuda"
] | 7 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151302
* __->__ #151427
As the title stated.
**Changes Before:**
```C++
[999/1526] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/int4mm.cu.o
/root/Git.d/pytorch/pytorch/aten/src/ATen/native/cuda/int4mm... | true |
2,998,755,966 | Update docker image names for s390x | AlekseiNikiforovIBM | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/binaries_wheel"
] | 3 | COLLABORATOR | Disable switching tag for s390x docker images
Keep it that way unless they are published.
There's no way to determine in advance
which docker image names are needed
for building s390x binaries otherwise.
| true |
2,998,752,960 | `version.txt` mismatch with tags in release branch | generspooler | open | [
"module: binaries",
"oncall: releng",
"low priority",
"triaged",
"enhancement"
] | 3 | NONE | ### 🐛 Describe the bug
tags v2.5.1, the git log shows version is v2.5.1, but its version.txt is 2.5.0a0.
This error will make the torch compiled .whl become torch-.2.5.0a0+xxxxx.whl. After installing this .whl, the environment torch version will be 2.5.0a0, which is wrong. [Correct version i think should be 2.5.1].
... | true |
2,998,747,886 | [Inductor] fix torch._inductor.exc.InductorError: KeyError | jianyizh | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor"
] | 7 | CONTRIBUTOR | Fixes #151423, which is a regression after #150845
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,998,739,820 | [inductor] dynamo benchmark model dm_nfnet_f0 fails with torch._inductor.exc.InductorError: KeyError: 'op566' | jianyizh | closed | [
"triaged",
"module: inductor"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
After #150845 The ci log https://ossci-raw-job-status.s3.amazonaws.com/log/40563911423 shows the timm model dm_nfnet_f0 training is failed.
2025-04-15T10:14:44.3504086Z loading model: 0it [00:00, ?it/s]
2025-04-15T10:14:44.3504436Z loading model: 0it [00:02, ?it/s]
2025-04-15T10:14:44.3504749Z ... | true |
2,998,709,439 | [WIP] multi graph compile | bobrenjc93 | closed | [
"module: dynamo",
"ciflow/inductor",
"release notes: AO frontend"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151422
* #151421
* #151499
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,998,709,332 | [ez] Rewrite comment to be more friendly to non haskellers | bobrenjc93 | open | [
"topic: not user facing",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151422
* __->__ #151421
* #151499
| true |
2,998,708,850 | Enable skipIfXpu to support class-level skipping | EikanWang | open | [
"open source",
"topic: not user facing",
"ciflow/xpu"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151420
* #151315
| true |
2,998,639,351 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod7_BLOCK_SIZE_128_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_different_block_size_float32_score_mod7_BLOCK_SIZE_128_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.c... | true |
2,998,639,262 | DISABLED test_builtin_score_mods_different_block_size_float16_score_mod2_BLOCK_SIZE_128_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_different_block_size_float16_score_mod2_BLOCK_SIZE_128_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.c... | true |
2,998,639,153 | DISABLED test_non_equal_head_dims_score_mod1_float16_head_dims1_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_non_equal_head_dims_score_mod1_float16_head_dims1_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/... | true |
2,998,639,152 | DISABLED test_non_equal_head_dims_score_mod2_bfloat16_head_dims0_cuda_bfloat16 (__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_non_equal_head_dims_score_mod2_bfloat16_head_dims0_cuda_bfloat16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/run... | true |
2,998,638,940 | DISABLED test_builtin_score_mods_dynamic_float16_score_mask_mod1_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_dynamic_float16_score_mask_mod1_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs... | true |
2,998,638,859 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod3_BLOCK_SIZE_128_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_different_block_size_float32_score_mod3_BLOCK_SIZE_128_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.c... | true |
2,998,638,761 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod6_BLOCK_SIZE3_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_different_block_size_float32_score_mod6_BLOCK_SIZE3_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/... | true |
2,998,638,671 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod3_BLOCK_SIZE_256_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_different_block_size_float32_score_mod3_BLOCK_SIZE_256_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.c... | true |
2,998,631,323 | [Easy][torch.Event] Fix and improve the docs of torch.Event | FFFrog | closed | [
"open source",
"Merged",
"Reverted",
"ciflow/trunk",
"release notes: python_frontend",
"ci-no-td"
] | 20 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151226
* __->__ #151411
* #151221
* #151404
**Changes:**
- add detailed function or class signature
- fix the wrong display of torch.Event.wait and torch.Event.record | true |
2,998,490,346 | [invoke_subgraph] fake tensor caching for None output | anijain2305 | closed | [
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151620
* #150704
* __->__ #151410
* #151409
* #151756
* #151633
* #151477
* #151357
* #151256
* #151330
| true |
2,998,490,213 | [invoke_subgraph] Compile time traces | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 15 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152062
* #151961
* #151957
* #151477
* #151633
* __->__ #151409
| true |
2,998,484,963 | Fix #150472 torch.library.custom_op doesn't handle single element tuples returns | jijiew | open | [
"release notes: composability"
] | 3 | CONTRIBUTOR | Fixes #150472
| true |
2,998,439,928 | [ez] Make relaxed constraint error message more user friendly | bobrenjc93 | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"release notes: fx",
"topic: not user facing",
"fx",
"module: dynamo",
"ciflow/inductor",
"ci-no-td"
] | 29 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151407
Fixes #151356
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv @voznesenskym @penguinwu @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @jiayisunx @chenyang78 @kadeng @chauhang @amjames
Differential Revision: D73833... | true |
2,998,387,348 | [Cutlass] Add epilogue inputs/outputs to def_kernel | mlazos | closed | [
"Merged",
"ciflow/trunk",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152815
* #150907
* __->__ #151406
* #150906
* #152733
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhun... | true |
2,998,387,274 | [Cutlass] Fixes for e2e compilation in arg rendering | mlazos | closed | [
"Merged",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150910
* #152390
* #150909
* #150908
* #150907
* #151406
* #150906
* #151713
* __->__ #151405
* #150905
* #152306
* #152305
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayi... | true |
2,998,348,719 | [Easy] Add more check for elapsedTime of torch.xxx.Event and torch.Event | FFFrog | closed | [
"open source",
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"ci-no-td"
] | 48 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151226
* #151411
* #151221
* __->__ #151404
As the title stated
**Changes:**
- Add **record**, **query** and **enable_timing** check
- Add related tests | true |
2,998,274,857 | Refine host caching allocator | guangyey | closed | [
"open source",
"Merged",
"ciflow/trunk",
"release notes: cpp",
"topic: improvements",
"ciflow/xpu"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151439
* #151437
* #151431
* __->__ #151403
# Motivation
This stack of PRs aims to generalize and improve PyTorch host allocator code.
This PR introduces a `DeleterFnPtr` template parameter to `CachingHostAllocatorInterface` to resolve... | true |
2,998,262,649 | RuntimeError: curPos <= (kUpperBound - kAppendInterval) INTERNAL ASSERT FAILED at "../torch/csrc/jit/ir/ir.cpp":698, please report a bug to PyTorch. | Mingbo-Lee | open | [
"module: onnx",
"triaged"
] | 0 | NONE | ### 🐛 Describe the bug
I encountered an internal assertion failure when trying to export my custom Compound ResNet18 model to ONNX format. The error occurs during the PyTorch tracing process when handling my custom tropical algebra convolution layers (CompoundMinMaxPlusSumConv2d2p), specifically during the execution ... | true |
2,998,195,834 | [inductor] [aot] `torch.linalg.lu` can't accept `slice operation`, behaving differently with eager | shaoyuyoung | open | [
"high priority",
"triaged",
"oncall: pt2",
"module: dynamo"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
**symptom**: `torch.linalg.lu` can't accept **slice operation**, behaving differently with eager. As you can see, I use **[:2]** to get **P, L**. I can do this successfully on eager but `aot` throws `dynamic_attributes` error.
**device backend**: both CPP and triton
**repro**
```python
import ... | true |
2,998,172,950 | [inductor] [cpu] `torch.outer` outputs inconsistent res when input tesnor is very large | shaoyuyoung | open | [
"oncall: pt2",
"oncall: cpu inductor"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
**symptom**: when using `torch.outer` for `ones_like` vec, the result inconsistency is big enough. Note that the input tensor should be very large
**device backend**: only CPP
**repro**
```python
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch._inductor import con... | true |
2,998,088,196 | [Inductor] Broadcast to range tree shape before block pointer store | blaine-rister | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 5 | CONTRIBUTOR | # Feature
This fixes a bug related to block pointer stores. Since Triton's block pointer stores don't support implicit broadcasting, in certain cases we need to generate a `reshape->broadcast->reshape` pattern to ensure that the tensor being stored has the same shape as the block pointer. This happens when the block... | true |
2,998,034,612 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod5_BLOCK_SIZE2_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_mod5_BLOCK_SIZE2_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/... | true |
2,998,034,610 | DISABLED test_njt_causal_bfloat16_cuda_bfloat16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 5 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_njt_causal_bfloat16_cuda_bfloat16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40613351998).
Over the past ... | true |
2,998,034,262 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod1_BLOCK_SIZE_256_cuda_float32 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 4 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_different_block_size_float32_score_mod1_BLOCK_SIZE_256_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.c... | true |
2,998,034,193 | DISABLED test_non_equal_head_dims_score_mod7_float32_head_dims1_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_non_equal_head_dims_score_mod7_float32_head_dims1_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/... | true |
2,998,034,167 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod2_BLOCK_SIZE_256_cuda_float32 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 4 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_different_block_size_float32_score_mod2_BLOCK_SIZE_256_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.c... | true |
2,998,034,076 | DISABLED test_builtin_score_mods_different_block_size_float16_score_mod2_BLOCK_SIZE3_cuda_float16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 4 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_different_block_size_float16_score_mod2_BLOCK_SIZE3_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/... | true |
2,998,034,055 | DISABLED test_njt_causal_float16_cuda_float16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_njt_causal_float16_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40612807146).
Over the past 3 ... | true |
2,998,033,968 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod5_BLOCK_SIZE_256_cuda_float32 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 4 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_different_block_size_float32_score_mod5_BLOCK_SIZE_256_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.c... | true |
2,998,033,923 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod7_BLOCK_SIZE2_cuda_float32 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 4 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_different_block_size_float32_score_mod7_BLOCK_SIZE2_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/... | true |
2,998,033,885 | DISABLED test_index_weird2_cuda (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_index_weird2_cuda&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40608545535).
Over the past 3 hours, it has ... | true |
2,998,033,832 | DISABLED test_load_from_bias_seq_batch_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_load_from_bias_seq_batch_float16_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40608545535).
Ov... | true |
2,998,033,804 | DISABLED test_multiple_mask_calls_cuda (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 7 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_multiple_mask_calls_cuda&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40607419311).
Over the past 3 hours, i... | true |
2,998,033,789 | DISABLED test_index_propagation_nested_indirect_indexing_mps (__main__.GPUTests) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"module: macos",
"skipped",
"oncall: pt2",
"module: inductor"
] | 4 | NONE | Platforms: mac, macos
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_index_propagation_nested_indirect_indexing_mps&suite=GPUTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40608617293).
Over the ... | true |
2,998,033,703 | DISABLED test_index_propagation_nested_indirect_indexing_mps (__main__.GPUTests) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"module: macos",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: mac, macos
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_index_propagation_nested_indirect_indexing_mps&suite=GPUTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40614349031).
Over the ... | true |
2,998,033,653 | DISABLED test_remove_noop_slice_cpu (__main__.CpuTests) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"module: fx"
] | 9 | NONE | Platforms: asan, linux, rocm, mac, macos
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_remove_noop_slice_cpu&suite=CpuTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40609661180).
Over the past... | true |
2,998,033,625 | DISABLED test_remove_noop_slice_cuda (__main__.GPUTests) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"module: fx"
] | 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_remove_noop_slice_cuda&suite=GPUTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40611884660).
Over the past 3 hours, i... | true |
2,998,033,592 | DISABLED test_remove_noop_slice_scatter_cpu (__main__.CpuTests) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"module: fx"
] | 8 | NONE | Platforms: asan, linux, mac, macos, rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_remove_noop_slice_scatter_cpu&suite=CpuTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40610240284).
Over th... | true |
2,998,033,561 | DISABLED test_remove_noop_slice1_cuda (__main__.GPUTests) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"module: fx"
] | 5 | 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_remove_noop_slice1_cuda&suite=GPUTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40611206448).
Over the past 3 hours, ... | true |
2,998,033,557 | DISABLED test_einsum_cpu (__main__.TestUnbackedSymintsCPU) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"module: macos",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: mac, macos
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_einsum_cpu&suite=TestUnbackedSymintsCPU&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40612679742).
Over the past 3 hours, it has b... | true |
2,998,033,527 | DISABLED test_remove_noop_slice1_cpu (__main__.CpuTests) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"module: fx"
] | 6 | NONE | Platforms: asan, linux, mac, macos, rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_remove_noop_slice1_cpu&suite=CpuTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40609417035).
Over the past ... | true |
2,998,033,477 | DISABLED test_remove_noop_slice_scatter_cuda (__main__.GPUTests) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"module: fx"
] | 5 | 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_remove_noop_slice_scatter_cuda&suite=GPUTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40609879619).
Over the past 3 ... | true |
2,998,017,841 | Do not propagate real tensor in extern kernel | yushangdi | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 5 | CONTRIBUTOR | Summary: See internal Diff for more details.
In ExternKernel, the FakeTensors do not have associated real tensors, because they are just created from ir.Node's shape and stride.
Test Plan:
```
buck run fbcode//mode/dev-nosan //caffe2/test/inductor:test_aot_inductor -- -r aoti_data_dependent_ex
buck2 run m... | true |
2,998,004,288 | Request Pytorch Support for RTX 5000-Series GPU's and CUDA sm_120 Capabilities | jvossler | closed | [
"module: cuda",
"triaged"
] | 7 | NONE | ### 🚀 The feature, motivation and pitch
Request Pytorch Support for RTX 5000-Series GPU's and CUDA sm_120 capabilities
### Alternatives
_No response_
### Additional context
import torch
# Check if CUDA is available
print(f"CUDA available: {torch.cuda.is_available()}")
# Check CUDA version PyTorch was built with... | true |
2,997,982,400 | Add ccode for CeilToInt and IntTrueDiv | sidt-meta | closed | [
"module: cpu",
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Summary: As titled
Test Plan: Test in D73052653 -- shape calculator generates successfully
Differential Revision: D73073845
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 | true |
2,997,959,927 | [CI][NoOp] Update skip reason for argmin_with_nan | 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):
* __->__ #151374
Which is https://github.com/pytorch/pytorch/issues/130295 (i.e. torch.compile produces correct results, but eager is not)
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe... | true |
2,997,942,452 | [C10D] avoid computing global_rank when group_rank is used | wconstab | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151373
collective APIs accept either group or global rank for src/dst rank.
We provide a helper `_canonicalize_group_rank` which converts from maybe
group or maybe global to one particular format (defined by the kwarg
return_... | true |
2,997,939,915 | Use more efficient mask to index computation | aartbik | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 5 | COLLABORATOR | This change addresses the third time/mem "spike" observed in
https://github.com/pytorch/pytorch/issues/151351
The change sees to perform better (time/mem) for both very sparse and very dense cases. It runs faster, and claims less memory both observed on CPU/GPU. It even avoids OOM for larger cases.
| true |
2,997,893,841 | [ONNX] Add a comment for handling bf16/fp8 tensor to numpy conversion | justinchuby | closed | [
"open source",
"Merged",
"release notes: onnx"
] | 3 | COLLABORATOR | Follow up of https://github.com/pytorch/pytorch/pull/151259 | true |
2,997,889,966 | cd: S390x defaults to main not release | seemethere | closed | [
"ciflow/binaries",
"topic: not user facing"
] | 1 | MEMBER | This is an oversight by us but s390x images don't have a release version of the manylinux builders.
I also can't find these images on Docker Hub which leads me to believe that they only exist on the nodes themselves and can't be reproduced
| true |
2,997,882,148 | test | laithsakka | closed | [] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151369
| true |
2,997,871,650 | [ROCm] Upgrade ROCm CI to ROCm6.4 | jithunnair-amd | open | [
"oncall: distributed",
"module: rocm",
"open source",
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"ciflow/periodic",
"module: inductor",
"ciflow/inductor",
"keep-going",
"ciflow/rocm",
"ci-no-td",
"ciflow/inductor-rocm",
"ciflow/rocm-mi300",
"ciflow/periodic-rocm-mi... | 42 | COLLABORATOR | cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @jeffdaily @sunway513 @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 ... | true |
2,997,868,744 | [BE] Fix extra-semi warning in attention.cpp | malfet | closed | [
"Merged",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Introduced by https://github.com/pytorch/pytorch/pull/149512
Before this change, following warning was generated
```
/Users/nshulga/git/pytorch/pytorch/aten/src/ATen/native/transformers/attention.cpp:452:71: warning: extra ';' outside of a function is incompatible with C++98 [-Wc++98-compat-extra-semi]
452 | RE... | true |
2,997,861,389 | ep.module() error out after ep.run_decomposition | yushangdi | closed | [
"oncall: pt2",
"export-triaged",
"oncall: export"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
The repro:
```python
import torch
from torch.testing._internal.custom_tensor import CustomTensorPlainOut
class Foo(torch.nn.Module):
def __init__(self):
super().__init__()
self.p1 = torch.nn.Parameter(torch.ones(3, 4))
self.p2 = torch.nn.Parameter(
Cus... | true |
2,997,858,395 | flex_attention error in torch.compile | jjh42 | closed | [
"oncall: pt2",
"module: pt2-dispatcher",
"module: flex attention"
] | 2 | CONTRIBUTOR | ### 🐛 Describe the bug
I haven't yet got a good, standalone reproduction of the issue yet.
Using flex_attention + torch.compile I get an error that "Query must be contiguous in the last dimension" (full stack trace below).
If I run in eager mode q.stride() always reports 1 for the last dimension. Even more mystifyi... | true |
2,997,800,678 | [bazel] Build flatbuffers within bazel | jhance | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: build",
"topic: bug fixes",
"topic: not user facing"
] | 8 | CONTRIBUTOR | This is similar to how we handle protobufs and it makes it more convenient for bazel users to handle their version of flatbuffers. (Flatbuffers is very picky about the generated code matching the runtime). Instead of using the checked in generated code, we generate it on the fly.
This is relevant to https://github.c... | true |
2,997,787,368 | fix test_einsum: use initialized values | ColinPeppler | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 16 | CONTRIBUTOR | Summary: `empty` uses uninitialized values so that could be NaNs, thus, the assert_close kept failing in FBCode.
Differential Revision: D73067722
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames... | true |
2,997,778,206 | [dynamo] support fb internal bytecode EAGER_IMPORT_NAME | williamwen42 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"module: graph breaks"
] | 4 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151362
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames
Differential Revision: [D73127097](https://our.internmc.facebook.... | true |
2,997,765,675 | [c10] helpers for runtime c10::alias re-use | dolpm | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 17 | CONTRIBUTOR | Summary: we need these to check whether the input tensor was re-sized/strided between executions when choosing to alias
Test Plan: CI
Reviewed By: henryoier
Differential Revision: D73061676
| true |
2,997,735,036 | ROCm mx-fp4 Support | petrex | open | [
"module: rocm",
"triaged",
"open source"
] | 2 | CONTRIBUTOR | TLDR: ROCm mx-fp4 support on gfx950
This pull request includes updates to support new data types and versions for CUDA and ROCm in various files. The most important changes include adding support for ROCm 6.5 and above for specific data types and updating the `hipify` mappings to include new attributes.
### Suppo... | true |
2,997,731,385 | FlexDecode not guarding on GQA groups correctly | drisspg | open | [
"triaged",
"bug",
"oncall: pt2",
"module: higher order operators",
"module: pt2-dispatcher",
"module: flex attention"
] | 1 | CONTRIBUTOR | # Summary
When attempting to run flexattention in flex_decode settings w/ HQ = 12 and HKV = 2 e.g. 6 groups we hit the following error:
`torch._inductor.exc.InductorError: LoweringException: ValueError: Number of shared query heads sharing the same KV head must be power of 2. `
We should ideally remove this restric... | true |
2,997,725,694 | FlexAttention ModIndex misses cache hit for autograd func | drisspg | open | [
"triaged",
"oncall: pt2",
"module: higher order operators",
"module: pt2-dispatcher",
"module: flex attention"
] | 0 | CONTRIBUTOR | # Summary
https://github.com/vllm-project/vllm/pull/16078, while working on this Richard and I noticed that we are missing cache on repeated runs to "compile_block_mask" because of mod_index autograd func
https://github.com/pytorch/pytorch/blob/21c2565f35f1d5034c3244066b61e58eb5148781/torch/_dynamo/_trace_wrapped_hig... | true |
2,997,717,526 | [compile][compile time traces] Add more dynamo traces | anijain2305 | open | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"ci-no-td"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151410
* #151409
* #150704
* #150717
* __->__ #151357
* #151256
* #151330
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjam... | true |
2,997,714,384 | Improve Error Message for Dynamic Shape Constraint Violation | drisspg | closed | [
"oncall: pt2",
"module: dynamic shapes"
] | 0 | CONTRIBUTOR |
# Description
When a dynamic shape constraint is violated due to specialization, the current error message isn't helpful
## Current behavior
The error message shows that a constraint violation occurred but doesn't provide clear guidance on why the specialization happened:
```
torch.fx.experimental.symbolic_shapes.Con... | true |
2,997,699,850 | [ROCm] upgrade nightly wheels to rocm6.4 | jithunnair-amd | closed | [
"module: rocm",
"open source",
"Merged",
"ciflow/binaries",
"topic: not user facing",
"ciflow/rocm",
"no-runner-experiments"
] | 13 | COLLABORATOR | cc @jeffdaily @sunway513 @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,997,614,965 | [test] New calculate docker image action | clee2000 | closed | [
"module: rocm",
"topic: not user facing"
] | 1 | CONTRIBUTOR | Testing for https://github.com/pytorch/test-infra/pull/6499/files
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,997,597,627 | Don't retry on permission denied errors for ECR | ZainRizvi | open | [
"module: ci",
"triaged"
] | 0 | CONTRIBUTOR | Permission denied error still resulted in retries for 3 hours even though such a failure would never succeed on retry
Splitting out an issue from https://github.com/pytorch/pytorch/issues/148771
cc @seemethere @malfet @pytorch/pytorch-dev-infra | true |
2,997,585,745 | [inductor] Implicitly emulate precision casts when intermediates are saved | jansel | open | [
"triaged",
"oncall: pt2",
"module: inductor"
] | 0 | CONTRIBUTOR | This is related to a numerics conversation we had in the inductor meeting.
We have the config:
https://github.com/pytorch/pytorch/blob/f98150fc8e621e76da8fbe101bc56025ca4b7981/torch/_inductor/config.py#L616-L618
When False, it improves numerics relative to eager, but we were seeing a case with a recomputed RMSNorm wh... | true |
2,997,566,101 | Sparse tensor conversion performance issues (CPU/GPU) | aartbik | closed | [
"module: sparse",
"triaged"
] | 7 | COLLABORATOR | ### 🐛 Describe the bug
I was investigating opportunities for improving "activation" sparsity as follows
```
import time
import torch
d = 1024 * 32
A = -torch.ones(d, d)
A[0, 0] = 111
A[10, 10] = 222 # most entries in A are < 0
T = torch.relu(A) # materializes very sparse T as dense first
S = T.to_spars... | true |
2,997,531,397 | `@pytorchbot rebase -s` can result in a confusing warning | malfet | closed | [
"low priority",
"module: ci",
"triaged",
"enhancement"
] | 4 | CONTRIBUTOR | ### 🐛 Describe the bug
Not sure what happened in https://github.com/pytorch/pytorch/pull/146273
but apparently single pytorchbot command
https://github.com/pytorch/pytorch/pull/146273#issuecomment-2806801272
Somehow spawned two concurrent rebase workflows (hattip to @ZainRizvi for investigation)
https://github.com/py... | true |
2,997,528,933 | [dynamo] Guard serialization for HASATTR | zhxchen17 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 17 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151349
* #151343
* #151318
Adding guard serialization for type HASATTR
Differential Revision: [D73059073](https://our.internmc.facebook.com/intern/diff/D73059073/)
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @Xiaob... | true |
2,997,520,368 | Infra for handling builtin ops (min, max, math.pow) | tugsbayasgalan | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"module: dynamo",
"ciflow/inductor",
"release notes: export"
] | 14 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151348
* #151347
Reapply of https://github.com/pytorch/pytorch/pull/150003
Differential Revision: [D73050801](https://our.internmc.facebook.com/intern/diff/D73050801/)
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Ch... | true |
2,997,520,177 | Don't specialize min/max | tugsbayasgalan | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: fx",
"fx",
"module: dynamo",
"ciflow/inductor"
] | 10 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151348
* __->__ #151347
address https://github.com/pytorch/pytorch/issues/149635
Differential Revision: [D73041489](https://our.internmc.facebook.com/intern/diff/D73041489/)
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv @voz... | true |
2,997,520,038 | Support C++ statically_known_true | tugsbayasgalan | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: fx",
"fx",
"ciflow/inductor"
] | 8 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151348
* #151347
* __->__ #151346
Differential Revision: [D73040543](https://our.internmc.facebook.com/intern/diff/D73040543/)
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,997,510,903 | [ROCm][CI/CD] Create ROCm6.4 magma tarball | jithunnair-amd | closed | [
"module: rocm",
"open source",
"Merged",
"topic: not user facing"
] | 3 | COLLABORATOR | cc @jeffdaily @sunway513 @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,997,471,765 | Fix tensorpipe compilation with clang-17 | malfet | closed | [
"Merged",
"ciflow/trunk",
"release notes: build",
"topic: bug fixes"
] | 5 | CONTRIBUTOR | By suppressing `missing-template-arg-list-after-template-kw` warning, which seems to be required to compile Google's libnop, which is in a semi-abandoned state now
```
In file included from /Users/malfet/git/pytorch/pytorch/third_party/tensorpipe/third_party/libnop/include/nop/base/variant.h:21:
/Users/malfet/git/py... | true |
2,997,466,487 | [dynamo] Guard serialization for NOT_PRESENT_IN_GENERIC_DICT | zhxchen17 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 11 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151349
* __->__ #151343
* #151318
Adding guard serialization for type NOT_PRESENT_IN_GENERIC_DICT
Differential Revision: [D73057304](https://our.internmc.facebook.com/intern/diff/D73057304/)
cc @voznesenskym @penguinwu @EikanWang @jgong5 ... | true |
2,997,296,798 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod4_BLOCK_SIZE3_cuda_float32 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 4 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_different_block_size_float32_score_mod4_BLOCK_SIZE3_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/... | true |
2,997,295,715 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod2_BLOCK_SIZE3_cuda_float32 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 4 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_different_block_size_float32_score_mod2_BLOCK_SIZE3_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/... | true |
2,997,295,624 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod2_BLOCK_SIZE2_cuda_float32 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 5 | 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_mod2_BLOCK_SIZE2_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/... | true |
2,997,295,623 | DISABLED test_builtin_score_mods_different_block_size_float16_score_mod2_BLOCK_SIZE2_cuda_float16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 4 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_builtin_score_mods_different_block_size_float16_score_mod2_BLOCK_SIZE2_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/... | true |
2,997,295,097 | DISABLED test_non_equal_head_dims_score_mod2_float32_head_dims1_cuda_float32 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 4 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_non_equal_head_dims_score_mod2_float32_head_dims1_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/... | true |
2,997,295,095 | DISABLED test_fully_masked_out_rows_compile_True_cuda (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 4 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_fully_masked_out_rows_compile_True_cuda&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40585278657).
Over the... | true |
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