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 |
|---|---|---|---|---|---|---|---|---|
3,012,071,335 | fully_shard() for huggingface 72B model: pytorch caches too much GPU memory | mingdianliu | open | [
"oncall: distributed",
"triaged",
"module: dtensor"
] | 5 | NONE | Dear Community,
I'm working on fine-tuning the Qwen2-VL model using `fully_shard()` and wrote a script for it. However, it will run into OOM when I try to fine tune 72B model with 128 GPUs.
I found it is due to pytorch cache. The allocated and reserved GPU memory is quite small while the cached GPU memory is even hig... | true |
3,012,059,868 | [Observability][Optimus] Fix the tlparse name | mengluy0125 | open | [
"fb-exported",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"release notes: inductor"
] | 3 | CONTRIBUTOR | Summary:
This is a followup of PR https://github.com/pytorch/pytorch/pull/151635
As suggested by James Wu, we need to remove the space for the name.
Test Plan:
```
TORCH_TRACE=~/my_trace_log_dir CUDA_VISIBLE_DEVICES=5 buck2 run mode/opt aps_models/ads/ecosystem/tooling/tools/efficient_module_suite/benchmark:omnifm_per... | true |
3,012,041,979 | `torch.bmm` is slow on non-contiguous BF16 CPU tensors | ar0ck | open | [
"module: performance",
"module: cpu",
"triaged",
"module: bfloat16",
"module: half",
"matrix multiplication"
] | 3 | CONTRIBUTOR | ### 🐛 Describe the bug
I observe that `torch.bfloat16` is ~4x slower than `torch.float32` on the following benchmark:
```python
import torch
from torch.utils.benchmark import Compare, Timer
B = 1 << 6
N = 1 << 12
results = []
for dtype in (torch.float32, torch.bfloat16):
x = torch.randn(B, 1, N, dtype=dtype)
... | true |
3,012,033,982 | [CI] Remove protobuf from docker image | clee2000 | closed | [
"module: rocm",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Pretty sure the source should be the one in third-party
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
3,011,993,116 | Exporting the operator 'aten::lift_fresh' to ONNX - not supported | kraza8 | open | [
"module: onnx",
"triaged"
] | 3 | NONE | ### 🐛 Describe the bug
Hi,
Attempting to export this model to onnx. Export keeps failing:
**torch.onnx.errors.UnsupportedOperatorError: Exporting the operator 'aten::lift_fresh' to ONNX opset version 17 is not supported. Please feel free to request support or submit a pull request on PyTorch GitHub: https://github.c... | true |
3,011,871,773 | [inductor] fix lowering for cummin, cummax for one element tensors | isuruf | closed | [
"open source",
"Merged",
"ciflow/trunk",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 8 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151931
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov
Fixes https://github.com/pytor... | true |
3,011,847,417 | Add operator name to the size/strides/alignment assertion | shunting314 | closed | [
"triaged",
"oncall: pt2",
"module: inductor",
"internal ramp-up task"
] | 3 | CONTRIBUTOR | ### 🐛 Describe the bug
_No response_
### Error logs
_No response_
### Versions
Inductor would generates size/strides/alignment assertions for ir.FallbackKernel (e.g. output of a custom op).
Those assertions looks like this:
```
assert_size_stride(buf2, (16, 32), (32, 1))
assert_alignment(buf2, 16... | true |
3,011,814,244 | [ROCm][CI] Update dockerfile to use centos9 | ethanwee1 | open | [
"module: rocm",
"open source",
"topic: not user facing"
] | 1 | CONTRIBUTOR | Upstream contents of centos stream dockerfile into upstream dockerfile
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
3,011,810,740 | Improve cache key graph printing performance | aorenste | closed | [
"Merged",
"ciflow/trunk",
"release notes: fx",
"topic: not user facing",
"fx",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Teach the graph printer how to allow overriding printing SymTypes (`SymInt`, `SymFloat`, `SymBool`) and then use that to reuse the fast SymNode printing from `torch._inductor.utils.sympy_str()` to make computing the cache key faster.
On my computer the repro from #151823 goes from 480s -> 80s (still terrible... but ... | true |
3,011,792,848 | [rocm6.4_internal_testing] Dockerfile swap | ethanwee1 | closed | [
"oncall: distributed",
"module: rocm",
"release notes: releng",
"module: inductor",
"module: dynamo"
] | 2 | CONTRIBUTOR | rocm6.4_internal_testing move contents of centos stream dockerfile into dockerfile
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Ch... | true |
3,011,780,475 | [Break XPU] generalize newly introduced device bias code in Inductor UT. | etaf | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"keep-going",
"ciflow/xpu"
] | 4 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151926
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
3,011,774,747 | [feature request][AOTI] Expand check input assertions to cover input guards created during compilation? | henrylhtsang | open | [
"oncall: pt2",
"export-triaged",
"oncall: export"
] | 2 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
Hi, I want to request the following feature. The purpose is for debugging. There is a chance it exists already, in which case please let me know.
# Feature
Add input assertions for guards for AOTI. Check for shapes at least.
# Problem
The following function expects the size ... | true |
3,011,743,615 | Skip fuse attention on fp32 if not tf32 | eellison | open | [
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 10 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151924
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
3,011,725,922 | [pytorch][triton] flex attention fwd kernel with Q and K TMA loads | mandroid6 | closed | [
"fb-exported",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Summary:
Device side TMA for flex_attention fwd kernel, Q K tensors
NOTE: V tensor TMA has numeric issues, to be updated in followup.
Test Plan:
Unit test:
```
buck test 'fbcode//mode/opt' fbcode//caffe2/test/inductor:flex_attention -- test_tma_with_customer_kernel_options
```
https://www.internalfb.com/intern/testin... | true |
3,011,715,478 | [StandaloneCompile] Autotune at compile time | oulgen | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151922
* #151921
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
3,011,715,005 | [MegaCache] Return None on no compilation | oulgen | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151922
* __->__ #151921
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
3,011,670,828 | Add precedence to the infix printing done by sympy_str. | aorenste | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 12 | CONTRIBUTOR | Add precedence to the infix printing done by sympy_str.
Without this change sympy_str will print the same string for both `a+b*(c+d)` and `(a+b)*(c+d)`.
While there I also cleaned up the printing for `-a` and `a - b`.
Added some tests.
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bot... | true |
3,011,660,204 | [WIP]: track remaining runtime time asserts for backward coddgen instead of trying to regenerate all | laithsakka | open | [
"release notes: fx",
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151919
address https://github.com/pytorch/pytorch/issues/151879.
The runtime assertion code generation tracks defined unbacked symints, when all defined unabacked summits for a given assert are seen(defined), the runtime assert... | true |
3,011,657,528 | Inductor generates wrong code for `torch.embedding` | YouJiacheng | open | [
"triaged",
"oncall: pt2",
"module: decompositions",
"module: inductor"
] | 6 | CONTRIBUTOR | ### 🐛 Describe the bug
Without `torch.compile`, negative indices will trigger ```/pytorch/aten/src/ATen/native/cuda/Indexing.cu:1369: indexSelectSmallIndex: block: [0,0,0], thread: [0,0,0] Assertion `srcIndex < srcSelectDimSize` failed.``` on CUDA, and `IndexError: index out of range in self` on CPU.
With `torch.comp... | true |
3,011,618,840 | Reland fast gather and index implementation | ngimel | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: cuda",
"ciflow/inductor",
"ci-no-td"
] | 5 | COLLABORATOR | This PR reapplies #151490 and #151753 together, and adds some missing checks when applying the fast path.
Previously missed checks:
1) indexing path has the stride in the indexed dimension in bytes, gather path has the stride in the indexed dimension in elements. When checking if fast path is applicable, I didn't t... | true |
3,011,558,696 | [WIP] Deprecate AcceleratorHooksInterface isPinnedPtr, use at::getHostAllocator()->is_pinned instead | guangyey | open | [
"open source",
"release notes: mps",
"ciflow/mps"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151531
* __->__ #151916
* #151913
| true |
3,011,497,088 | Deprecated pkg_resources and use distributions instead | FFFrog | open | [
"open source",
"topic: not user facing"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151915
As the title stated. | true |
3,011,480,148 | [OpenReg] Add _lazy_init and rng_state support for OpenReg | FFFrog | closed | [
"open source",
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"ci-no-td"
] | 12 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151914
As the title stated.
**Changes**:
- Add get_rng_state & set_rng_state support for OpenReg
- Add _lazy_init support for OpenReg
- Remove redundant code for cuda/Module.cpp | true |
3,011,401,982 | Add MPS support for getHostAllocator API | guangyey | open | [
"open source",
"release notes: mps",
"ciflow/mps"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151531
* #151916
* __->__ #151913
# Motivation
In https://github.com/pytorch/pytorch/pull/151431, PyTorch provides a unified API `at::getHostAllocator(...)` that facilitates writing device-agnostic code. This PR aims to add MPS support fo... | true |
3,011,150,732 | bfloat16 numerical errors for SDPA math backend | AmdSampsa | open | [
"triaged",
"oncall: pt2"
] | 4 | COLLABORATOR | ### 🐛 Describe the bug
## Faulty triton kernel in the math backend
SDPA attention for `bfloat16` has numerical errors (as compared to eager mode), when using the math backend (`SDPBackend.MATH`).
Comparing the results between eager mode and `torch.compile` gives a maximum abs difference of `0.0156`. I've confirmed... | true |
3,011,092,138 | Enable type promotions in slice_scatter (pytorch#147842) | tommyadams5 | open | [
"triaged",
"open source",
"topic: not user facing",
"module: inductor"
] | 4 | CONTRIBUTOR | Fixes #147842
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
3,011,006,903 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod0_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_mod0_BLOCK_SIZE_256_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.c... | true |
3,011,006,767 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod3_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_mod3_BLOCK_SIZE3_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/... | true |
3,011,006,617 | DISABLED test_captured_buffers_all_dims_float32_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_captured_buffers_all_dims_float32_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40921259228).
O... | true |
3,011,006,465 | DISABLED test_builtin_score_mods_dynamic_float16_score_mask_mod0_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_mod0_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs... | true |
3,010,943,907 | Exempt overriding methods from docstring_linter (fix #151692) | rec | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 7 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152256
* #148959
* __->__ #151906
| true |
3,010,790,742 | Fix dependencies version error when building docs locally | dangnguyen2910 | closed | [
"open source",
"topic: not user facing"
] | 1 | NONE | Fixes #151786
This PR downgrades version of 2 dependencies, which allow `pip install -r docs/requirements.txt`
| true |
3,010,771,607 | [graph pickler] [inductor compile async] imprecise filter for non standard op? | ChuanqiXu9 | closed | [
"triaged",
"oncall: pt2",
"module: inductor"
] | 6 | CONTRIBUTOR | ### 🐛 Describe the bug
In https://github.com/pytorch/pytorch/blob/159e2f96e3d7aec0187b03c483e177c5e96b1ebb/torch/fx/_graph_pickler.py#L410-L413
there is a check for `torch.ops.aten` and the pickler will raise an exception saying it is not picklable.
This is slightly confusing to me. I feel, if something is not pick... | true |
3,010,632,970 | [cp] Context Parallel: dispatch flex_attention to CP impl in TorchDispatchMode | XilunWu | closed | [
"oncall: distributed",
"topic: not user facing"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151903
* #151900
* #151685
* #151507
* #151495
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k | true |
3,010,632,843 | [cp] cast tensor to DTensor for flex_attention | XilunWu | closed | [
"oncall: distributed",
"topic: not user facing"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151903
* __->__ #151902
* #151900
* #151685
* #151497
* #151507
* #151495
| true |
3,010,531,506 | Issue while Building the Documentation | rohit-kumar-manav | open | [
"module: build",
"module: docs",
"triaged"
] | 1 | NONE | ### 📚 The doc issue
Trying to build the documentation from the below link.
https://github.com/pytorch/pytorch#from-source
Steps mentioned:
1. cd docs/
2. pip install -r requirements.txt
3. make html
4. make serve
Getting following error in step2 attached below:
![Image](https://github.com/user-attachments/assets/... | true |
3,010,513,141 | [cp] dispatch flex_attention on DTensor to cp implementation | XilunWu | open | [
"oncall: distributed",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151900
* #151495
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k | true |
3,010,508,314 | [BE] Upgrade XPU support package to 2025.1 in CICD | chuanqi129 | open | [
"open source",
"release notes: releng",
"topic: not user facing",
"ciflow/binaries_wheel",
"ciflow/xpu"
] | 2 | COLLABORATOR | Address #151097. Including below changes,
- Add XPU support package 2025.1 build and test in CI for both Linux and Windows
- Keep XPU support package 2025.0 build in CI to ensure no break issue until PyTorch 2.8 release
- Upgrade XPU support package from 2025.0 to 2025.1 in CD for both Linux and Windows
- Enable ... | true |
3,010,430,112 | [XPU] Get [ZE]: 0x78000011 on torch.compile with new driver | Stonepia | closed | [
"triaged",
"module: xpu"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
The latest Intel GPU Driver introduces breaking changes that may lead to `torch.compile` failure with the error message of `Triton Error [ZE]: 0x78000011` on Windows.
For instance, one might fail in the following cases:
- Due to the renaming of `imf` function. It means that Triton can't find t... | true |
3,010,404,620 | Add an additional check to trigger graph break for sparse tensor | js00070 | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo"
] | 20 | CONTRIBUTOR | Fixes #151522
This PR fixes the issue that Dynamo fails to trigger a graph break for sparse tensors in certain code paths. I added an additional check to handle this case, and it resolves the original problem.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe... | true |
3,010,182,920 | Avoid differing results in `linalg.(tensor_)solve` | Flamefire | open | [
"triaged",
"module: mkldnn",
"open source",
"ciflow/trunk",
"release notes: nn",
"ciflow/linux-aarch64"
] | 7 | COLLABORATOR | Remove an optimization potentially using a transposed matrix as input for `linalg_lu_factor_ex_out`.
Depending on whether the input memory layout is contiguous or not this may lead to slightly different results which may cause larger differences in subsequent steps ultimately leading to test failures in e.g. `test_v... | true |
3,010,140,950 | [Dynamo] Replace `unimplemented` with `unimplemented_v2` in `torch/_dynamo/variables/nn_module.py` | shink | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo"
] | 15 | CONTRIBUTOR | Part of #147913
Replace `unimplemented` with`unimplemented_v2` in `torch/_dynamo/variables/nn_module.py`
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
3,010,057,266 | Add `LinearLR` compute lr formula in doc | zeshengzong | open | [
"triaged",
"open source",
"release notes: optim"
] | 3 | CONTRIBUTOR | Fixes #68058
## Test Result
### Before
### After
| true |
3,010,048,156 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod0_BLOCK_SIZE3_cuda_float32 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: higher order operators",
"module: pt2-dispatcher",
"module: flex attention"
] | 3 | 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_mod0_BLOCK_SIZE3_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/... | true |
3,010,048,059 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod3_BLOCK_SIZE2_cuda_float32 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: higher order operators",
"module: pt2-dispatcher",
"module: flex attention"
] | 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_mod3_BLOCK_SIZE2_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/... | true |
3,010,048,058 | DISABLED test_skip_odd_keys_bfloat16_cuda_bfloat16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: higher order operators",
"module: pt2-dispatcher",
"module: flex attention"
] | 1 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_skip_odd_keys_bfloat16_cuda_bfloat16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40909504426).
Over the pa... | true |
3,010,047,232 | DISABLED test_cublas_and_lt_reduced_precision_fp16_accumulate_cuda (__main__.TestMatmulCudaCUDA) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"module: cublas",
"skipped"
] | 4 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_cublas_and_lt_reduced_precision_fp16_accumulate_cuda&suite=TestMatmulCudaCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40909504436).... | true |
3,010,047,171 | DISABLED test_builtin_score_mods_dynamic_float16_score_mask_mod7_cuda_float16 (__main__.TestFlexAttentionCUDA) | pytorch-bot[bot] | closed | [
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: higher order operators",
"module: pt2-dispatcher",
"module: flex attention"
] | 3 | 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_mod7_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs... | true |
3,009,950,458 | Fix xrefs | shoumikhin | closed | [
"oncall: distributed",
"oncall: jit",
"Merged",
"release notes: quantization",
"fx",
"release notes: distributed (torchelastic)"
] | 3 | CONTRIBUTOR | Fix existing cross references and removed old ones
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @EikanWang @jgong5 @wenzhe-nrv @sanchitintel @ezyang @SherlockNoMad | true |
3,009,933,351 | [Inductor][CPP] Fix Codegen Issue when Parallel Reduction under the vectorization | 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):
* __->__ #151887
**Summary**
Fixes [#151290](https://github.com/pytorch/pytorch/issues/151290) and [#151523](https://github.com/pytorch/pytorch/issues/151523), which are regressions introduced by [#144020](https://github.com/pytorch/pytorc... | true |
3,009,903,839 | [Do Not Merge] update get start xpu | ZhaoqiongZ | open | [
"triaged",
"open source",
"topic: not user facing"
] | 3 | CONTRIBUTOR | update link and product name
add print to print ```torch.xpu.is_available()``` result in code snippet for user not using command python | true |
3,009,902,114 | Remove as_tensor epilogue from float outputs | bobrenjc93 | open | [
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151885
* #151766
Fixes #151470
This was originally added as a nicety - ensuring all graphs maintain
the invariant that ouputs are tensors. This, however, breaks simple
graphs such as
```
def f(y):
y_sca... | true |
3,009,842,421 | The "eager" and "aot_eager" backends have different behavior for the expected gradient tensor of the torch.expend_as operator | yihuaxu | open | [
"triaged",
"oncall: pt2",
"module: aotdispatch",
"module: pt2-dispatcher"
] | 3 | NONE | ### 🐛 Describe the bug
It can not get the expected grad of "expand_as" when used "aot_eager" backend.
**Reproduce steps:**
1. install torch
$pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cpu
2. run the below scripts:
python expand_as_ut_cpu.py
**Exception Re... | true |
3,009,803,440 | [Easy] Remove redundant code | FFFrog | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 7 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151883
As the title stated. | true |
3,009,785,997 | Add upload of rc source code to download.pytorch.org | zklaus | closed | [
"open source",
"topic: not user facing"
] | 2 | COLLABORATOR | Adds upload of pre-release source code to `create_release.yml`.
Closes #124759
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152098
* __->__ #151882
| true |
3,009,771,264 | Update description for torch.random.fork_rng | FFFrog | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151881
As the title stated.
Related ISSUE:
https://github.com/pytorch/pytorch/issues/151784 | true |
3,009,733,122 | [BE] Replace `std::runtime_error` with `TORCH_CHECK` [1/N] | shink | closed | [
"open source",
"module: amp (automated mixed precision)",
"Merged",
"topic: not user facing"
] | 7 | CONTRIBUTOR | Part of: #148114
cc @mcarilli @ptrblck @leslie-fang-intel @jgong5 @albanD | true |
3,009,725,255 | Runtime assertion not generated in inductor for input unbacked symints | laithsakka | open | [
"triaged",
"oncall: pt2",
"module: dynamic shapes"
] | 0 | CONTRIBUTOR | ```
import torch
@torch.compile(fullgraph=True, dynamic=True, backend="inductor")
def func(a, b, c):
torch._check(a.size()[0]==b.size()[0])
return a * 10, c.item()
a = torch.rand(1,1)
b = torch.rand(2,2)
c = torch.tensor([2])
torch._dynamo.decorators.mark_unbacked(a, 0)
torch._dynamo.decorators.mark_unbacked... | true |
3,009,703,101 | Potential error in calling scaled_dot_product_attention in pytorch/torch/testing/_internal/distributed/_tensor /common_dtensor.py ? | githubsgi | open | [
"oncall: distributed",
"triaged",
"module: dtensor",
"module: context parallel"
] | 2 | CONTRIBUTOR | ### 🐛 Describe the bug
Wondering whether the following call at [here ](https://github.com/pytorch/pytorch/blob/a02eae8142ddd8fbf068a3e17fc0dd276d92fc78/torch/testing/_internal/distributed/_tensor/common_dtensor.py#L155) is correct . The mask is set to None and use_attn_mask is set to True.
`
output = F... | true |
3,009,664,362 | [dynamo][ci] Fix recently broken test | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 10 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151847
* __->__ #151877
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
3,009,660,009 | [Inductor] define custom pass as list | Valentine233 | open | [
"triaged",
"oncall: pt2",
"module: inductor"
] | 3 | COLLABORATOR | ### 🐛 Describe the bug
Custom passes are defined as a `CustomGraphPassType` or an optional `Callable Function`. So for now, we can only register one pass as the custom pass.
```
post_grad_custom_pre_pass: torch._inductor.custom_graph_pass.CustomGraphPassType = None
post_grad_custom_post_pass: torch._inductor.custom_g... | true |
3,009,647,075 | [cutlass backend] delay construction of cutlass presets to when called | henrylhtsang | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151875
In hindsight, always constructing the dict is a bit silly. We should only construct it when we need it.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisu... | true |
3,009,644,647 | The operator 'aten::_linalg_eigh.eigenvalues' is not currently implemented for the MPS device | PhysicsMizu | open | [
"triaged",
"enhancement",
"module: linear algebra",
"actionable",
"module: mps"
] | 1 | NONE | ### 🚀 The feature, motivation and pitch
I'm working on projects that require calculating eigenvalues repeatedly on an apple silicon device and would like _linalg_eigh to work for mps devices
### Alternatives
_No response_
### Additional context
_No response_
cc @jianyuh @nikitaved @mruberry @walterddr @xwang233 ... | true |
3,009,623,352 | [Dynamo] Replace `unimplemented` with `unimplemented_v2` in `torch/_dynamo/variables/lists.py` | shink | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo"
] | 19 | CONTRIBUTOR | Part of #147913
Replace `unimplemented` with`unimplemented_v2` in `torch/_dynamo/variables/lists.py`
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
3,009,615,927 | [Testing] Enable `test_mutations_loop_fusion_mps` | 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):
* __->__ #151872
* #151871
* #151869
By testing it against float32 rather than double dtype
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @mu... | true |
3,009,613,384 | [MPSInductor] Implement `atomic_add` store mode | malfet | closed | [
"Merged",
"topic: bug fixes",
"release notes: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151872
* __->__ #151871
* #151869
Which fixes `GPUTests.test_index_put2_mps`, `GPUTests. test__unsafe_masked_index_put_accumulate_mps` and dozen of scatter/gather tests that relied on atomic_add store mode
cc @voznesenskym @penguinwu @E... | true |
3,009,612,805 | Add BufferDict works like ParameterDict | zeshengzong | open | [
"open source"
] | 2 | CONTRIBUTOR | Fixes #37386
| true |
3,009,599,111 | [MPS] Extend index_put to half precision floats | malfet | closed | [
"Merged",
"topic: improvements",
"release notes: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151872
* #151871
* __->__ #151869
By reusing `c10/metal/atomic.h`
This also fixes `GPUTests.test_index_put_fallback[12]_mps` that is unrolled by inductor, so no need for dedicated atomic_add support
TODOs:
- Get rid of indexing kerne... | true |
3,009,599,058 | [Metal][BE] Move atomic ops to c10/metal/atomic.h | malfet | closed | [
"Merged",
"release notes: mps",
"ciflow/mps"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151872
* #151871
* #151869
* __->__ #151868
To be reused from indexing and MPSInductor implementaiton of atomic_add stores
Added wrapper for `metal::atomic<int>`(to be used by followup PR) | true |
3,009,582,609 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod1_BLOCK_SIZE2_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_mod1_BLOCK_SIZE2_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/... | true |
3,009,582,483 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod0_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_mod0_BLOCK_SIZE2_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/... | true |
3,009,582,482 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod2_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_mod2_BLOCK_SIZE_128_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.c... | true |
3,009,582,270 | DISABLED test_builtin_score_mods_different_block_size_float16_score_mod6_BLOCK_SIZE2_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_mod6_BLOCK_SIZE2_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/... | true |
3,009,582,267 | DISABLED test_non_equal_head_dims_score_mod4_float32_head_dims0_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_non_equal_head_dims_score_mod4_float32_head_dims0_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/... | true |
3,009,582,141 | DISABLED test_cublas_addmm_size_1000_cuda_float16 (__main__.TestMatmulCudaCUDA) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"module: linear algebra",
"skipped"
] | 3 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_cublas_addmm_size_1000_cuda_float16&suite=TestMatmulCudaCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40900492676).
Over the past 3... | true |
3,009,582,093 | DISABLED test_event_elapsed_time (__main__.TestOpenReg) | pytorch-bot[bot] | open | [
"module: windows",
"module: cpp",
"triaged",
"module: flaky-tests",
"skipped"
] | 2 | NONE | Platforms: win, windows
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_event_elapsed_time&suite=TestOpenReg&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40900968612).
Over the past 3 hours, it has be... | true |
3,009,577,914 | [aot][ca] save bw_module in AOTAutogradCache | xmfan | open | [
"Merged",
"Reverted",
"ciflow/trunk",
"release notes: composability",
"module: dynamo",
"ciflow/inductor",
"merging",
"module: compiled autograd",
"ci-no-td"
] | 18 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151860
* #152119
* #151962
* #151731
Compiled Autograd retraces AOT's bw_module at backward runtime into a larger graph, and today this runs into an issue on warm cache runs because the bw_module is not restored. This PR adds it to ... | true |
3,009,561,072 | [inductor] handle offset in ReinterpretView for alignment | shunting314 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 5 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151859
* #151841
Fix https://github.com/pytorch/pytorch/issues/151589
It's interesting that the Q4_K dequantization example in the referred GH issue does not crash even if Inductor pass triton the wrong alignment information. I ... | true |
3,009,560,489 | construcing DTensor on a 2D device mesh SIGTERMs | wangkuiyi | open | [
"oncall: distributed",
"triaged",
"module: dtensor"
] | 19 | CONTRIBUTOR | ### 🐛 Describe the bug
I am working with @wanchaol on drafting a tutorial about DTensor https://wkyi.quip.com/YVhXArYw2a5c/PyTorch-DTensor-From-Zero-To-Hero
You can run all examples in the above Quip doc using the same command line:
```shell
OMP_NUM_THREADS=1 torchrun --nproc_per_node=4 a.py
```
All the examples w... | true |
3,009,527,970 | Proposal: Beautify torch.distributed.tensor.debug.visualize_sharding | wangkuiyi | closed | [
"oncall: distributed",
"triaged",
"module: dtensor"
] | 3 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
`jax.debug.visualize_array_sharding` prints colorized result in terminals or notebooks like the following (cf. [my LinkedIn post](https://www.linkedin.com/posts/yidewang_i-coauthored-this-notebook-with-wanchao-activity-7319523841595076608-bcm3?utm_source=share&utm_medium=member... | true |
3,009,512,171 | [draft export] normalize sympy expressions for data-dependent counting | pianpwk | open | [
"release notes: export"
] | 1 | CONTRIBUTOR | Introduces expression normalization scheme so we don't deduplicate different framework-code expressions with same user-code stack. | true |
3,009,504,503 | Better error msg for too big to optimize | yushangdi | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Summary: In the "too big to optimize" error message, tell the user that they should use the torch._inductor.config.aot_inductor.compile_wrapper_opt_level = 'O0' flag
Test Plan:
This is not added to unit test cases because it runs for a little longer time before the expected failure
```
def test_runtime_checks_er... | true |
3,009,496,585 | Add assert_on_assumption on to guard_or_true, and guard_or_false | laithsakka | open | [
"release notes: fx",
"fx",
"module: inductor",
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* (to be filled)
One thing that we will be doing often is asserting on the assumption made by
guard_or_false, and guard_or_true.
For example in expand if the input ==-1. we will assume its not -1 and want to add a runtime assertion ... | true |
3,009,496,519 | [DO NOT REVIEW] PIAN PR PLACE HOLDER | laithsakka | closed | [] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151854
* __->__ #151853
* #151852
* #151041
* #151038
* #151023
| true |
3,009,496,454 | [DO NOT REVIEW] PIAN PR PLACE HOLDER | laithsakka | closed | [
"ciflow/trunk",
"release notes: fx",
"fx",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151854
* #151853
* __->__ #151852
* #151041
* #151038
* #151023
Summary:
Differential Revision: D72483950
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
3,009,478,741 | [MTIA] Store original file path and line number that FX op derives from. Print the file path and line number for each op in IR printing. | patrick-toulme | closed | [
"fb-exported",
"fx",
"release notes: export"
] | 12 | NONE | Summary:
When tracing with torch export to FX IR, we need to keep track of the original file path and line number that the FX op originates from in the user code. We then need to print this at the far right of the Node in IR printing.
Without a mapping of user PyTorch code to FX IR, it is very difficult to debug the I... | true |
3,009,469,783 | Rewrite the guts of torch::jit::Lexer to speed it up | swolchok | closed | [
"oncall: jit",
"fb-exported",
"Merged",
"Reverted",
"ciflow/trunk",
"release notes: jit",
"ci-no-td"
] | 17 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151850
* #151849
* #151810
* #151807
* #151806
* #151805
* #151804
* #151803
* #151802
* #151801
The trie-based approach was, apparently, not efficient. This incidentally fixes a bug where "not inp" and "is note" were lexed incorrec... | true |
3,009,469,734 | Add simple direct C++ tests for torch::jit::Lexer | swolchok | closed | [
"oncall: jit",
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 10 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151850
* __->__ #151849
* #151810
* #151807
* #151806
* #151805
* #151804
* #151803
* #151802
* #151801
We have test_jit.py, but given that I'm working on
significant changes to the lexer, it seems nice to have direct C++
tests. (Also, writ... | true |
3,009,463,990 | [MKLDNN] Check that strides are positive | malfet | closed | [
"module: cpu",
"module: mkldnn",
"Merged",
"ciflow/trunk",
"release notes: nn",
"topic: bug fixes",
"ciflow/linux-aarch64"
] | 5 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151848
For pooling ops. Prevents division-by-zero when argument is wrong
Fixes https://github.com/pytorch/pytorch/issues/149274
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @jerryzh168 @gujinghui @PenghuiCh... | true |
3,009,444,879 | [Dynamo] Use LazyVariableTracker in base VT | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"keep-going",
"ci-no-td"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151847
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
3,009,440,566 | [FlexAttention] Fix device test instantation | drisspg | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ciflow/rocm",
"ci-no-td"
] | 14 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151959
* __->__ #151846
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
3,009,402,399 | [reland][ROCm] remove caffe2 from hipify | jeffdaily | open | [
"module: rocm",
"triaged",
"open source",
"release notes: rocm",
"skip-pr-sanity-checks",
"module: inductor",
"ciflow/inductor",
"ciflow/rocm",
"ci-no-td",
"ciflow/inductor-rocm"
] | 2 | COLLABORATOR | Reland of https://github.com/pytorch/pytorch/pull/137157.
Needs https://github.com/pytorch/FBGEMM/pull/4028 to be merged first to keep FBGEMM functional.
- Remove all "MasqueradingAsCUDA" files and classes.
- Do not rename "CUDA" classes to "HIP".
cc @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dl... | true |
3,009,393,866 | Add scripts to check xrefs and urls | shoumikhin | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 12 | CONTRIBUTOR | Traverses the docs and code to find any broken links | true |
3,009,387,522 | [EZ/Profiler] Update Submodule | sraikund16 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | CONTRIBUTOR | Summary: Update to https://github.com/pytorch/kineto/commit/d82680bbd44f872aa04394fa5bba23a7992f9fa4
Test Plan: CI
Differential Revision: D73397323
| true |
3,009,377,863 | [export] Enable symint inputs for AdditionalInputs and ShapesCollection | angelayi | closed | [
"Merged",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export"
] | 3 | CONTRIBUTOR | With `AdditionalInputs`, the behavior is the same as with tensors:
```python
class M(torch.nn.Module):
def forward(self, x, y):
return x + y
additional_inputs = torch.export.AdditionalInputs()
additional_inputs.add((5, 5))
additional_inputs.add((3, 5))
additional_inputs.add((5, 4))
ep = torch.exp... | true |
3,009,362,373 | [Inductor] move alignment tests to a separate file | shunting314 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151859
* __->__ #151841
This is a pure code movement. test_torchinductor.py is already 15K lines of code. Move alignment related tests I added recently to a separate file. I need add more such kind of tests.
cc @voznesenskym @penguinw... | true |
3,009,361,835 | DISABLED test_builtin_score_mods_different_block_size_float16_score_mod6_BLOCK_SIZE3_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_mod6_BLOCK_SIZE3_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/... | true |
3,009,361,834 | DISABLED test_non_equal_head_dims_score_mod3_float16_head_dims1_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_non_equal_head_dims_score_mod3_float16_head_dims1_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/... | true |
3,009,361,833 | DISABLED test_builtin_score_mods_different_block_size_float32_score_mod0_BLOCK_SIZE_128_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_mod0_BLOCK_SIZE_128_cuda_float32&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.c... | true |
3,009,359,766 | DISABLED test_builtin_score_mods_different_block_size_float16_score_mod7_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_mod7_BLOCK_SIZE_128_cuda_float16&suite=TestFlexAttentionCUDA&limit=100) and the most recent trunk [workflow logs](https://github.c... | true |
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