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 |
|---|---|---|---|---|---|---|---|---|
3,042,367,779 | get right function declaration on windows inductor | yuchengliu1 | open | [
"triaged",
"open source",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"skip-url-lint"
] | 7 | NONE | Fixes #152251
`get_export_declaration` introduced one more ')' in Windows platform, which cause this pattern of function declaration different with Linux.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8... | true |
3,042,318,051 | [Pipelining] Fix _batch_p2p bug for non-NCCL backends (#132644) | tom-pollak | open | [
"oncall: distributed",
"triaged",
"open source",
"topic: not user facing",
"module: pipelining"
] | 9 | NONE | Fixes #132644
`_batch_p2p` incorrectly assumes that `dist.batch_isend_irecv` returns a single-element list of `dist.Work`, likely due to NCCL's coalescing behaviour.
For none NCCL backends like Gloo, multiple `dist.Work` objects are returned, causing the code to discard some operations via `.pop()`. This leads to... | true |
3,042,187,678 | [feature] Channel Wise Parallel API for Conv layers | mlreviewed | open | [
"oncall: distributed",
"triaged",
"open source"
] | 4 | NONE |
**How about a wrapper to shard Conv Layers? **
Currently we have ColumnWise Parallel that works for Linear and every other derivations like MoE, Attention, etc..
Sequence Parallel works for Norm layers.
So why not conv layers?
I have locally tested the Channel Parallel code and it shards conv layers at the ... | true |
3,042,127,488 | Fix doc cosineannealinglr 152081 | Jacobgoss30 | open | [
"triaged",
"open source",
"topic: docs",
"release notes: optim"
] | 3 | NONE | ## Summary
This PR updates the docstring for `CosineAnnealingLR` to accurately reflect its recursive learning rate schedule. The previous docstring displayed only the SGDR closed-form expression, which doesn't match the actual recursive implementation in code.
Changes:
- Added the recursive update formula used... | true |
3,042,060,634 | Use `torch.types.Device` in `device_interface.py` | galexite | closed | [
"open source",
"Merged",
"topic: not user facing",
"module: dynamo"
] | 19 | CONTRIBUTOR | This is just a clean-up change that I noticed was possible; it removes the duplicate `_device_t` type which had the same semantics.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
3,042,031,201 | [Dynamo] Allow inlining into AO quantization modules | mlazos | closed | [
"Merged",
"ciflow/trunk",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 3 | CONTRIBUTOR | This adds dynamo inlining into `torch.ao.quantization.fake_quantize`.
This is needed for QAT compatbility w/ an RL training model.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
3,042,024,191 | Allow Inductor backends to attest their own availability | galexite | open | [
"triaged",
"open source",
"topic: not user facing",
"module: inductor",
"module: dynamo"
] | 3 | CONTRIBUTOR | Introduce a new classmethod `raise_if_unavailable` to `BaseScheduling` and its subclasses, then call this method when creating the backend in `create_backend` which uses that scheduler implementation.
This allows Inductor backends to present meaningful messages to the user if prerequisites are not satisfied, by simp... | true |
3,041,841,730 | [WIP] Add unified memory APIs for torch.accelerator | guangyey | open | [
"open source"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151298
* __->__ #152932
* #138222
| true |
3,041,704,573 | DISABLED test_comprehensive_gather_xpu_bool (__main__.TestInductorOpInfoXPU) | etaf | open | [
"triaged",
"skipped",
"module: xpu"
] | 2 | COLLABORATOR | Platforms: <fill this in or delete. Valid labels are: asan, linux, mac, macos, rocm, win, windows.>
This test was disabled because it is failing on main branch ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22'test%2Finductor%2Ftest_torchinductor_opinfo.py%3A%3ATestInductorOpInfoXPU%3A%3Atest_comp... | true |
3,041,702,372 | DISABLED test_comprehensive_gather_xpu_int32 (__main__.TestInductorOpInfoXPU) | etaf | open | [
"triaged",
"skipped",
"module: xpu"
] | 2 | COLLABORATOR | Platforms: <fill this in or delete. Valid labels are: asan, linux, mac, macos, rocm, win, windows.>
This test was disabled because it is failing on main branch ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22'test%2Finductor%2Ftest_torchinductor_opinfo.py%3A%3ATestInductorOpInfoXPU%3A%3Atest_comp... | true |
3,041,699,363 | DISABLED test_comprehensive_gather_xpu_float16 (__main__.TestInductorOpInfoXPU) | etaf | open | [
"triaged",
"skipped",
"module: xpu"
] | 2 | COLLABORATOR | Platforms: <fill this in or delete. Valid labels are: asan, linux, mac, macos, rocm, win, windows.>
This test was disabled because it is failing on main branch ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22'test%2Finductor%2Ftest_torchinductor_opinfo.py%3A%3ATestInductorOpInfoXPU%3A%3Atest_comp... | true |
3,041,696,791 | DISABLED test_comprehensive_triu_cuda_float16 (__main__.TestInductorOpInfoCUDA) | pytorch-bot[bot] | open | [
"high priority",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 8 | NONE | Platforms: inductor
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_comprehensive_triu_cuda_float16&suite=TestInductorOpInfoCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/41695542704).
Over the pas... | true |
3,041,696,750 | DISABLED test_comprehensive_rot90_cuda_float16 (__main__.TestInductorOpInfoCUDA) | pytorch-bot[bot] | open | [
"high priority",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 5 | NONE | Platforms: inductor
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_comprehensive_rot90_cuda_float16&suite=TestInductorOpInfoCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/41695391042).
Over the pa... | true |
3,041,684,173 | Forward fix D74196435 | huydhn | closed | [
"oncall: jit",
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: jit"
] | 8 | CONTRIBUTOR | Summary: Forward fix a misplace declaration from D74196435
Test Plan: Random check with a failed build `buck2 build --config fbcode.enable_gpu_sections=true --flagfile fbcode//mode/opt fbcode//accelerators/workloads/models/emu_flash/tests:test_compile_eager`
Reviewed By: wdvr
Differential Revision: D74225582
cc @E... | true |
3,041,681,752 | DISABLED test_comprehensive_scatter_xpu_float16 (__main__.TestInductorOpInfoXPU) | etaf | open | [
"triaged",
"skipped",
"module: xpu"
] | 2 | COLLABORATOR | Platforms: <fill this in or delete. Valid labels are: asan, linux, mac, macos, rocm, win, windows.>
This test was disabled because it is failing on main branch ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22'test%2Finductor%2Ftest_torchinductor_opinfo.py%3A%3ATestInductorOpInfoXPU%3A%3Atest_comp... | true |
3,041,634,117 | include user stacks with constraint violation error message | bobrenjc93 | open | [
"release notes: fx",
"topic: not user facing",
"fx",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #153119
* #153118
* __->__ #152924
Fixes #152918
Before:
```
File "/data/users/bobren/a/pytorch/torch/fx/experimental/symbolic_shapes.py", line 5588, in produce_guards_verbose
raise ConstraintViolationError(
torch.fx.experimental.symbo... | true |
3,041,617,359 | Upgrade to CUDA 12.8.1 for nightly binaries | tinglvv | open | [
"module: cuda",
"triaged",
"open source",
"ciflow/binaries",
"topic: not user facing"
] | 10 | COLLABORATOR | Upgrade current CUDA 12.8 builds to 12.8.1
cc @ptrblck @msaroufim @eqy @jerryzh168 @atalman @malfet @nWEIdia | true |
3,041,613,992 | Enable 12.8.1 | tinglvv | open | [
"module: cuda",
"triaged"
] | 0 | COLLABORATOR | ### 🚀 The feature, motivation and pitch
Issue to track upgrading to 12.8.1
Docker Images & Windows AMI Update
- [ ] https://github.com/pytorch/pytorch/pull/152923
### Alternatives
### Additional context
_No response_
cc @ptrblck @nWEIdia @atalman @malfet @msaroufim @eqy @jerryzh168 | true |
3,041,596,533 | [inductor][cpu] pytorch_CycleGAN_and_pix2pix AMP multiple thread performance regression in 2025-04-27 nightly release | zxd1997066 | open | [
"oncall: cpu inductor"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
<p>AMP static shape default wrapper</p><table border="1" class="dataframe table">
<thead>
<tr style="text-align: right;">
<th>suite</th>
<th>name</th>
<th>thread</th>
<th>batch_size_new</th>
<th>speed_up_new</th>
<th>inductor_new</th>
<th>eager_ne... | true |
3,041,592,820 | Add overall tensor similarity comparison (#152647) | manojps | open | [
"open source"
] | 6 | NONE | ## Summary
This PR adds an overall similarity comparison requested in #152647
The comparison function is as same as https://github.com/deepseek-ai/DeepGEMM/blob/d374456787c51ad9c4b3c5dbc3668ea3ad9bb9c2/deep_gemm/utils.py#L161
## Background
Currently comparison of tensors can be done bit-wise or value-wise in ... | true |
3,041,585,816 | Fix conditional git diff in _link_check.yml | shoumikhin | closed | [
"Merged",
"topic: not user facing"
] | 3 | CONTRIBUTOR | null | true |
3,041,569,072 | We should include where specialization happens when we throw a constraint violation error | bobrenjc93 | open | [
"triaged",
"oncall: pt2",
"module: dynamic shapes"
] | 0 | CONTRIBUTOR | Suggested by @Chillee
Here's an example repro: https://gist.github.com/bobrenjc93/bdbd0e16bcccb9280ba9113b5f647138
Which prints out this stack trace: https://gist.github.com/bobrenjc93/a9eb9b7a3ab6659e6238869eb72fedfc
But it doesn't point to the user LOC that actually caused the specialization
cc @chauhang @pengui... | true |
3,041,551,007 | Clean up of CUTLASS_VERSION | narekmalk | closed | [
"open source"
] | 3 | CONTRIBUTOR | Fixes #152847
| true |
3,041,484,630 | UNSTABLE inductor / unit-test / cuda12.6-py3.10-gcc9-sm86 / test (inductor_cpp_wrapper) | huydhn | open | [
"module: ci",
"triaged",
"unstable"
] | 1 | CONTRIBUTOR | This is currently failing in trunk https://github.com/pytorch/pytorch/actions/runs/14849608374/job/41692546480, mark it as unstable while investigate
cc @seemethere @malfet @pytorch/pytorch-dev-infra | true |
3,041,426,136 | [benchmarks] disable aten.to metadata assertions for AOTI | pianpwk | closed | [
"release notes: benchmark",
"module: dynamo",
"ciflow/inductor"
] | 4 | CONTRIBUTOR |
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
3,041,377,722 | Fix/cudagraph output reuse error | KAVYANSHTYAGI | closed | [
"open source",
"release notes: mps",
"module: inductor"
] | 3 | NONE | ### Summary
This PR improves developer experience when using `torch.compile()` with CUDA Graphs by:
- Detecting and raising an informative error if a user passes a CUDA graph output tensor into a subsequent compiled invocation
- Clearly guiding the user to correct this by either cloning the tensor or calling `to... | true |
3,041,377,125 | Segmentation fault (core dumped) in torch.nn.functional.max_unpool2d | cx104906 | open | [
"module: crash",
"triaged",
"topic: fuzzer"
] | 0 | NONE | ### 🐛 Describe the bug
same as issue #[152804](https://github.com/pytorch/pytorch/issues/152804). but reproduce with a self-contained script.
```
import torch
import pickle
print(torch.__version__)
print("test.....")
test = []
data1 = [4.8920e+11, 4.8920e+11, 4.8920e+11, 4.8920e+11, 4.8920e+11]
ts1 = torch.tensor(d... | true |
3,041,316,890 | DISABLED test_comprehensive_scatter_xpu_float32 (__main__.TestInductorOpInfoXPU) | etaf | open | [
"triaged",
"skipped",
"module: xpu"
] | 1 | COLLABORATOR | Platforms: linux
This test was disabled because it is failing on main branch ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22'test%2Finductor%2Ftest_torchinductor_opinfo.py%3A%3ATestInductorOpInfoXPU%3A%3Atest_comprehensive_scatter_xpu_float32'%22%5D)).
cc @gujinghui @EikanWang @fengyuan14 @guang... | true |
3,041,316,803 | DISABLED test_comprehensive_gather_xpu_float32 (__main__.TestInductorOpInfoXPU) | etaf | open | [
"triaged",
"skipped",
"module: xpu"
] | 1 | COLLABORATOR | Platforms: linux
This test was disabled because it is failing on main branch ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22'test%2Finductor%2Ftest_torchinductor_opinfo.py%3A%3ATestInductorOpInfoXPU%3A%3Atest_comprehensive_gather_xpu_float32'%22%5D)).
cc @gujinghui @EikanWang @fengyuan14 @guang... | true |
3,041,310,455 | DISABLED test_comprehensive_gather_xpu_float64 (__main__.TestInductorOpInfoXPU) | etaf | open | [
"triaged",
"skipped",
"module: xpu"
] | 2 | COLLABORATOR | Platforms: linux
This test was disabled because it is failing on main branch ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22'test%2Finductor%2Ftest_torchinductor_opinfo.py%3A%3ATestInductorOpInfoXPU%3A%3Atest_comprehensive_gather_xpu_float64'%22%5D)).
cc @gujinghui @EikanWang @fengyuan14 @guang... | true |
3,041,281,802 | Partilally revert https://github.com/pytorch/pytorch/pull/152288 | malfet | closed | [
"oncall: jit",
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: jit",
"ci-no-td"
] | 5 | CONTRIBUTOR | Summary: As it results in build failures for some internal targets that stuck on older compiler. Platform update is tracked in [T223408150](https://www.internalfb.com/tasks?t=223408150)
Test Plan: CI
Differential Revision: D74220384
cc @EikanWang @jgong5 @wenzhe-nrv @sanchitintel | true |
3,041,276,498 | [Set] Add correct set/frozenset __init__ behavior | guilhermeleobas | open | [
"open source",
"module: dynamo",
"ciflow/inductor"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152991
* #152990
* __->__ #152908
* #152907
* #152989
* #152906
* #152905
* #152903
* #152902
* #152901
* #152904
* #152988
* #152987
* #150792
* #152900
* #153070
| true |
3,041,276,419 | [Set] Raise KeyError on empty `set.pop()` | guilhermeleobas | open | [
"open source",
"module: dynamo",
"ciflow/inductor"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152991
* #152990
* #152908
* __->__ #152907
* #152989
* #152906
* #152905
* #152903
* #152902
* #152901
* #152904
* #152988
* #152987
* #150792
* #152900
* #153070
| true |
3,041,276,033 | [Set] Add `set.intersection(_update)` | guilhermeleobas | open | [
"open source",
"module: dynamo",
"ciflow/inductor"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152991
* #152990
* #152908
* #152907
* #152989
* __->__ #152906
* #152905
* #152903
* #152902
* #152901
* #152904
* #152988
* #152987
* #150792
* #152900
* #153070
| true |
3,041,275,968 | [Set] Add `set.difference(_update)` | guilhermeleobas | open | [
"open source",
"module: dynamo",
"ciflow/inductor"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152991
* #152990
* #152908
* #152907
* #152989
* #152906
* __->__ #152905
* #152903
* #152902
* #152901
* #152904
* #152988
* #152987
* #150792
* #152900
* #153070
| true |
3,041,275,887 | [Set] Raise TypeError if number of arguments mismatch | guilhermeleobas | open | [
"open source",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152991
* #152990
* #152908
* #152907
* #152989
* #152906
* #152905
* #152903
* #152902
* #152901
* __->__ #152904
* #152988
* #152987
* #150792
* #152900
* #153070
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSupe... | true |
3,041,275,491 | [Set] Raise `KeyError` if elem not contained in the set | guilhermeleobas | open | [
"open source",
"module: dynamo",
"ciflow/inductor"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152991
* #152990
* #152908
* #152907
* #152989
* #152906
* #152905
* __->__ #152903
* #152902
* #152901
* #152904
* #152988
* #152987
* #150792
* #152900
* #153070
| true |
3,041,275,409 | [Set] Add `set.issubset` and `set.issuperset` | guilhermeleobas | open | [
"open source",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152991
* #152990
* #152908
* #152907
* #152989
* #152906
* #152905
* #152903
* __->__ #152902
* #152901
* #152904
* #152988
* #152987
* #150792
* #152900
* #153070
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSupe... | true |
3,041,275,310 | [Set] Add set.symmetric_difference(_update) | guilhermeleobas | open | [
"open source",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152991
* #152990
* #152908
* #152907
* #152989
* #152906
* #152905
* #152903
* #152902
* __->__ #152901
* #152904
* #152988
* #152987
* #150792
* #152900
* #153070
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSupe... | true |
3,041,274,894 | Remove `property` from python_type function | guilhermeleobas | open | [
"open source",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152991
* #152990
* #152908
* #152907
* #152989
* #152906
* #152905
* #152903
* #152902
* #152901
* #152904
* #152988
* #152987
* #150792
* __->__ #152900
* #153070
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSupe... | true |
3,041,274,363 | Run url and xref linters independently | shoumikhin | closed | [
"Merged",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Also introduce `skip-xref-lint` label
| true |
3,041,270,608 | DISABLED test_comprehensive_scatter_xpu_float64 (__main__.TestInductorOpInfoXPU) | chuanqi129 | open | [
"triaged",
"skipped",
"module: xpu"
] | 1 | COLLABORATOR | Platforms: linux
This test was disabled because it is failing on main branch ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22'test%2Finductor%2Ftest_torchinductor_opinfo.py%3A%3ATestInductorOpInfoXPU%3A%3Atest_comprehensive_scatter_xpu_float64'%22%5D)).
cc @gujinghui @EikanWang @fengyuan14 @guan... | true |
3,041,262,325 | [Inductor] Set correct baseline for decomposek test | PaulZhang12 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 10 | CONTRIBUTOR | Differential Revision: D74218923
Running on A100 seems to result in precision loss from decompose_k. This was root caused to the fp16/bf16 reduction setting, which establishes a less precise baseline than decompose_k, as decompose_k uses the bmm.dtype overload for fp32 output.
cc @voznesenskym @penguinwu @Eikan... | true |
3,041,231,864 | Move link check jobs to pull to go with doc build | huydhn | open | [
"topic: not user facing",
"test-config/default"
] | 1 | CONTRIBUTOR | The job is flaky atm https://github.com/pytorch/pytorch/issues/152884, it's not a good idea to keep it in a highly visible workflow like lint. I try to move it to trunk, but keeping it together with the build job in pull makes sense too given that the check also runs nightly with doc build. | true |
3,041,223,210 | Use three-dot diffs in URL and xref lint workflows | shoumikhin | closed | [
"Merged",
"topic: not user facing"
] | 4 | CONTRIBUTOR | Only run on the files actually modified in a PR, not every file touched on main since the branch point
Fixes #152884
| true |
3,041,213,438 | [SDPA] Add testing to ensure stride order exactly matches | drisspg | open | [
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152894
## Currently results
TODO update meta before land for mem eff
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchu... | true |
3,041,191,945 | DISABLED test_comprehensive_nn_functional_conv3d_cuda_float16 (__main__.TestInductorOpInfoCUDA) | pytorch-bot[bot] | open | [
"high priority",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 2 | NONE | Platforms: inductor
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_comprehensive_nn_functional_conv3d_cuda_float16&suite=TestInductorOpInfoCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/41677250984... | true |
3,041,191,840 | DISABLED test_comprehensive_sort_cuda_float16 (__main__.TestInductorOpInfoCUDA) | pytorch-bot[bot] | open | [
"high priority",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 4 | NONE | Platforms: inductor, linux, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_comprehensive_sort_cuda_float16&suite=TestInductorOpInfoCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/41683610526)... | true |
3,041,191,838 | DISABLED AotInductorTest.BasicPackageLoaderTestCpu (build.bin.test_aoti_inference) | pytorch-bot[bot] | open | [
"high priority",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: aotinductor"
] | 3 | NONE | Platforms: inductor
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=AotInductorTest.BasicPackageLoaderTestCpu&suite=build.bin.test_aoti_inference&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/41683788496).
... | true |
3,041,191,784 | DISABLED test_comprehensive_diagonal_copy_cuda_float16 (__main__.TestInductorOpInfoCUDA) | pytorch-bot[bot] | open | [
"high priority",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 9 | NONE | Platforms: inductor, linux, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_comprehensive_diagonal_copy_cuda_float16&suite=TestInductorOpInfoCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/416... | true |
3,041,191,783 | DISABLED AotInductorTest.BasicTestCpu (build.bin.test_aoti_inference) | pytorch-bot[bot] | open | [
"high priority",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: aotinductor"
] | 3 | NONE | Platforms: inductor
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=AotInductorTest.BasicTestCpu&suite=build.bin.test_aoti_inference&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/41683788496).
Over the past... | true |
3,041,191,723 | DISABLED AotInductorTest.BasicTestCuda (build.bin.test_aoti_inference) | pytorch-bot[bot] | open | [
"high priority",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: aotinductor"
] | 3 | NONE | Platforms: inductor
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=AotInductorTest.BasicTestCuda&suite=build.bin.test_aoti_inference&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/41683610518).
Over the pas... | true |
3,041,176,026 | [inductor] cudagraph error for individually compiled transformer blocks | StrongerXi | open | [
"triage review",
"module: cuda graphs",
"oncall: pt2",
"module: inductor"
] | 4 | CONTRIBUTOR | ### 🐛 Describe the bug
This was first observed in https://github.com/pytorch/pytorch/issues/150706#issuecomment-2846155656.
Note that if we uncomment the `# Pass` region, the error goes away.
```python
import torch
def f(x):
return x + 1
f = torch.compile(f, mode="reduce-overhead")
# Pass
#x = torch.ones(2, d... | true |
3,041,158,226 | [ez] fix a bunch of typos in dynamo | bobrenjc93 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152886
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
3,041,153,877 | [audio hash update] update the pinned audio hash | pytorchupdatebot | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 3 | COLLABORATOR | This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned audio hash. | true |
3,041,138,252 | UNSTABLE Lint / Link checks / Lint URLs / linux-job | huydhn | open | [
"module: ci",
"triaged",
"unstable"
] | 3 | CONTRIBUTOR | There is a number of complains about the flakiness of this job. So we need to figure out if this can be improved:
* Implementing retry
* Add an allow list?
* Check only links from git diff instead of all the content from the changed files
cc @seemethere @malfet @pytorch/pytorch-dev-infra @shoumikhin | true |
3,041,128,821 | [dynamo] Fix bug in hasattr(tensor, "size") | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"keep-going"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #153105
* __->__ #152883
Fixes https://github.com/pytorch/pytorch/issues/135696
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
3,041,101,553 | Devcontainer: Optimize apt-get commands to reduce Docker image size | wdvr | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 8 | CONTRIBUTOR | ## Summary
- Added --no-install-recommends flag to all apt-get install commands to reduce unnecessary dependencies
- Added apt-get clean after package installations to remove package cache and reduce image size
- Combined multiple apt commands into single instructions to reduce Docker image layers
## Test plan
Test by... | true |
3,041,101,246 | Devcontainer: Replace conda with apt-based setup | wdvr | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | CONTRIBUTOR | ## Summary
- Replaced miniconda base image with base Ubuntu 22.04 image
- Installed Python and required dependencies using apt
- Replaced conda-based CUDA installation with apt-based version
- Updated paths in install-dev-tools.sh to reflect the new non-conda environment
- Removed conda-specific files and added requir... | true |
3,041,100,086 | Devcontainer: Fix context path and workspace mount | wdvr | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | CONTRIBUTOR | ## Summary
- Changed the devcontainer context path from '../..' to './' for both CPU and CUDA configurations
- Added workspace mount configuration to properly mount the repository in the container
- Added containerEnv to disable implicit --user pip flag
## Test plan
Test by building and running the devcontainer in VS ... | true |
3,041,078,752 | xpu: support custom ops with torch.library on xpu backend | dvrogozh | open | [
"triaged",
"open source",
"topic: not user facing",
"keep-going",
"ciflow/xpu",
"release notes: xpu"
] | 4 | CONTRIBUTOR | Fixes: https://github.com/intel/torch-xpu-ops/issues/1626
This PR started enabling of tests for `torch.library`, but more work is needed. Tests are using `torch._custom_ops` deprecated API planned for removal at pytorch 2.6 (not done). I think cleanup of pytorch would be nice before enabling more tests for xpu.
htt... | true |
3,041,025,685 | [Graph Partition][Flex Attention] analyze symints from subgraph inputs and outputs | BoyuanFeng | open | [
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Flex Attention may have symints in subgraph inputs and outputs. Existing code implicitly captures these symints but does not explicitly store it in TritonTemplateBuffer. This leads to error when analyzing symints used in Flex Attention as a TritonTemplateBuffer. This PR fixes the issue.
cc @voznesenskym @penguinwu @... | true |
3,041,020,615 | Motivate Pytorch's forward mode AD APIs with training examples | redwrasse | open | [
"module: docs",
"module: autograd",
"triaged",
"module: forward ad"
] | 0 | CONTRIBUTOR | ### 📚 The doc issue
Pytorch documentation of forward AD (https://pytorch.org/tutorials/intermediate/forward_ad_usage.html) might benefit from training examples for the uninitiated user. The current documentation explains how to compute JVPs, though without context.
Adding training examples may also add community cyc... | true |
3,041,011,097 | Move additional MPS Unary ops to Iterator | skotapati | closed | [
"open source",
"Merged",
"release notes: mps",
"ciflow/mps",
"keep-going"
] | 8 | COLLABORATOR | Noticed some of these ops were contributing to a big chunk of the runtime for OpenLLama as well as a few other benchmarks
At the op level, moving to a TensorIterator-based Metal kernel gives a 20x speedup. Will migrate the inverse trigonometric functions & log ops in a follow-up PR, as this one is already a bit larg... | true |
3,040,995,451 | Incorporate CUDA Memory Trimming Into DeviceCachingAllocator | NianZo | open | [
"triage review",
"module: windows"
] | 1 | NONE | ### 🚀 The feature, motivation and pitch
On Windows, WDDM will oversubscribe GPU device memory causing some allocations to be put into shared CPU memory. This then can cause application slowdowns as slower memory is used. CUDA provides a notification of when this is about to start via the [cudaDeviceRegisterAsyncNotif... | true |
3,040,984,210 | Clarify wrap_triton doc about optional triton_op usage | swapnita1205 | open | [
"triaged",
"open source",
"topic: not user facing"
] | 4 | NONE | This PR updates the docstring for `wrap_triton` to clarify that using `torch.library.triton_op` is optional, and only necessary if dispatch interposition is required. This addresses confusion raised in #152870.
| true |
3,040,974,447 | [nativert] Port string join and split to c10/util | yiming0416 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 10 | CONTRIBUTOR | Summary:
Torch Native Runtime RFC: https://github.com/pytorch/rfcs/pull/72
Port string utils functions join and split to c10/util
Test Plan:
Added tests in `string_util_test.cpp`
buck2 run mode/opt caffe2/c10/test:util_base_tests
Differential Revision: D74202473
| true |
3,040,919,999 | [Dynamo] Guard serialization for RANGE_ITERATOR_MATCH | jbschlosser | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 5 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152729
* #152961
* __->__ #152872
* #152865
* #152730
* #152728
* #152727
* #152725
Tests serialization for RANGE_ITERATOR_MATCH; includes no non-test changes.
This PR handles iterator exhaustion issues by utilizing the janky solution f... | true |
3,040,918,357 | Fix bug visualizing 1D Tensor using rich | wangkuiyi | closed | [
"oncall: distributed",
"open source",
"Merged",
"release notes: distributed (dtensor)"
] | 5 | CONTRIBUTOR | Fixes https://github.com/pytorch/pytorch/issues/152848
I didn't fix the bug earlier because the example script didn't exhaustively present all combinations of 1D/2D tensor, 1D/2D mesh, and all possible sharding specs. Therefore, in this PR, I enriched the example script to cover all possible combinations.
<img wi... | true |
3,040,899,992 | Docs Update `wrap_triton` | drisspg | open | [
"triaged",
"oncall: pt2",
"module: higher order operators",
"module: pt2-dispatcher",
"module: user triton"
] | 0 | CONTRIBUTOR | # Summary
https://github.com/pytorch/pytorch/blob/bb9c4260249ea0c57e87395eff5271fb479efb6a/torch/_library/triton.py#L210
I found this line confusing since you only need to register as custom op if you want to interpose at dispatch level. I dont really know what the best wording is though
cc @chauhang @penguinwu @zou... | true |
3,040,897,462 | DISABLED testAssertNotRegex (__main__.CPythonTest_Assertions) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: dynamo"
] | 6 | NONE | Platforms: asan, linux, mac, macos, rocm, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=testAssertNotRegex&suite=CPythonTest_Assertions&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/41672382719).
O... | true |
3,040,893,229 | Have WrapTriton work w/ `TRITON_INTERPRET=1` in eager | drisspg | open | [
"triaged",
"oncall: pt2",
"module: higher order operators",
"module: pt2-dispatcher",
"module: user triton"
] | 1 | CONTRIBUTOR | # Summary
Repro:
``` Py
import torch
import triton
import triton.language as tl
from torch.library import wrap_triton
@triton.jit
def add_kernel(
in_ptr0,
in_ptr1,
out_ptr,
n_elements,
BLOCK_SIZE: "tl.constexpr",
):
pid = tl.program_id(axis=0)
block_start = pid * BLOCK_SIZE
offsets =... | true |
3,040,889,116 | [dynamo] Improve final traceback frame format | williamwen42 | open | [
"triaged",
"oncall: pt2",
"dynamo-triage-jan2025",
"module: compile ux"
] | 0 | MEMBER | For this sample program:
```python
import torch
@torch.compile(backend="eager", fullgraph=True)
def fn(x):
x = x + 1
torch._dynamo.graph_break()
return x + 1
fn(torch.ones(3))
```
The error message looks like
```
Traceback (most recent call last):
File "/data/users/williamwen/pytorch/playground2.py",... | true |
3,040,881,651 | inductor-periodic rocm tests failing since at least 4/10 | zou3519 | open | [
"high priority",
"triage review",
"module: rocm"
] | 1 | CONTRIBUTOR | Example failure: https://hud.pytorch.org/pytorch/pytorch/commit/50fe1b234926b775f37bcc924e073886330c3a4d#41668981068-box
cc @ezyang @gchanan @kadeng @msaroufim @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dl... | true |
3,040,877,195 | [Dynamo] Guard serialization for TUPLE_ITERATOR_LEN | jbschlosser | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152729
* #152961
* #152872
* __->__ #152865
* #152730
* #152728
* #152727
* #152725
Tests serialization for TUPLE_ITERATOR_LEN; includes no non-test changes.
Passing a tuple iterator as input results in the iterator being exhausted duri... | true |
3,040,868,342 | [Graph Partition] remove PRECOMPUTED_SIZE from partition symbol inputs | BoyuanFeng | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | PRECOMPUTED_SIZE is computed during runtime and should not be included in graph_partition_inputs. See the following example for a PRECOMPUTED_SIZE `ps0`.
full output code: [P1803820480](https://www.internalfb.com/phabricat... | true |
3,040,856,116 | [Graph Partition] remove weak dep from `partition_input_names` | BoyuanFeng | open | [
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Graph partition analyzes read_writes to get partition input names. However, weak dep is fake dependency and is not actually read or written. So we should not include weak dep in graph partition input names.
The following test failure is fixed by removing weak dependency from partition_input_names:
`PYTORCH_TEST_WIT... | true |
3,040,834,864 | [Memory Viz] Add Compile Context to Visualizer | sraikund16 | closed | [
"enhancement",
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: profiler"
] | 5 | CONTRIBUTOR | Summary: Adds PT2 info to visualizer. Also makes sure we have a case when compile context is not in pickle file.
Test Plan: {F1977637362}
Differential Revision: D74202811
| true |
3,040,791,447 | torch.cuda.use_mem_pool is not thread safe | syed-ahmed | open | [
"module: cuda",
"triaged",
"module: CUDACachingAllocator"
] | 2 | COLLABORATOR | ### 🐛 Describe the bug
@ngimel reported this offline. We didn't check thread safety of the `use_mem_pool` API. Even though `use_mem_pool` creates thread-local `MemPoolContext`, it then just calls `_cuda_beginAllocateToPool(device_index, pool.id)` with trivially true filter, so all subsequent allocations from all thre... | true |
3,040,762,228 | [ez] Use pip instead of conda in run_tests.sh | huydhn | closed | [
"Merged",
"topic: not user facing",
"test-config/default"
] | 3 | CONTRIBUTOR | Part 1 of https://github.com/pytorch/pytorch/issues/148336. The rest depends on https://github.com/pytorch/pytorch/issues/148335 to remove conda from Docker build process. | true |
3,040,740,348 | Add torch._C.Tag.needs_contiguous_strides | zou3519 | 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):
* __->__ #152859
this forces inductor to force the inputs to be contiguous.
Test Plan:
- new test
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kad... | true |
3,040,713,224 | [inductor][retry] Realize bucketize/searchsorted output | davidberard98 | closed | [
"Merged",
"ciflow/trunk",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152858
**Context**:
bucketize is relatively expensive, computationally. So it's not always profitable to fuse it if it means doing extra computation. For example, this repro:
https://gist.github.com/davidberard98/7fd6af7e6291787c246... | true |
3,040,703,005 | Synchronize in foreach tests after profiling | janeyx99 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | After the CI change from 12.4 -> 12.6 around mid-March, the foreach tests have been flaky and hard to repro due to nondeterminism. Per @davidberard98's suggestion, let's try to add a synchronize before checking profiler results to see whether this fixes the flake! The hope is that the 48 currently open foreach flaky is... | true |
3,040,673,967 | Fix HF loading when there's no metadata file to work with fsspec | ankitageorge | open | [
"oncall: distributed",
"fb-exported",
"topic: not user facing",
"release notes: distributed (checkpoint)"
] | 4 | CONTRIBUTOR | Summary: HF loading when there is no metadata is an edge case for some users. We were previously calling safe_open(filename) to get the keys in the safetensors file, but this doesn't work with fsspec, when models have a different backend than local fs (ie. hf, s3 etc). This diff updates to open the file with fsspec.ope... | true |
3,040,639,072 | [dynamo][ez] Remove unused guard OBJECT_MUTATION. | zhxchen17 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 5 | CONTRIBUTOR | Summary: seems not used anywhere https://www.internalfb.com/code/search?q=case%3Ayes%20filepath%3Acaffe2%20OBJECT_MUTATION
Test Plan: CI
Differential Revision: D74196559
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chau... | true |
3,040,551,646 | torch.multinomial is not deterministic for large number of input probabilities when replacement=True | szvsw | closed | [] | 4 | NONE | ### 🐛 Describe the bug
Hello,
I think there is a bug in `torch.multinomial` which sporadically appears when the number of input probabilities is large (e.g. greater than 10k, but gets worse as number gets larger) and `replacement=True`. I think it is also worse when the dynamic range of the probabilities is very h... | true |
3,040,540,053 | [dynamo] Recursively realize the stack_values | anijain2305 | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"ci-no-td",
"ciflow/pull"
] | 14 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #152883
* __->__ #152853
Might also fix - https://github.com/pytorch/pytorch/issues/135696
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauha... | true |
3,040,518,349 | [nativert] Move AutoTimer to c10. | qxy11 | closed | [
"fb-exported",
"ciflow/trunk",
"topic: not user facing"
] | 7 | CONTRIBUTOR | Summary:
Torch Native Runtime RFC: https://github.com/zhxchen17/rfcs/blob/master/RFC-0043-torch-native-runtime.md
To land the runtime into PyTorch core, we will gradually land logical parts of the code into the Github issue and get each piece properly reviewed.
This diff adds a small library utility implementing an a... | true |
3,040,505,193 | DISABLED test_comprehensive___rmul___cuda_float16 (__main__.TestInductorOpInfoCUDA) | pytorch-bot[bot] | open | [
"high priority",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 6 | NONE | Platforms: inductor
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_comprehensive___rmul___cuda_float16&suite=TestInductorOpInfoCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/41657320849).
Over the... | true |
3,040,476,998 | [cutlass backend][BE][clean-up] refactor to remove use of autotune_fallback_to_aten=True in cutlass backend tests | henrylhtsang | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 5 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152850
Differential Revision: [D74192001](https://our.internmc.facebook.com/intern/diff/D74192001/)
Motivation: clean up post https://github.com/pytorch/pytorch/issues/147479. I plan to leave the rest of the clean-up as an first ... | true |
3,040,476,700 | Clarification on build_stage usage with DistributedDataParallel: the code example in torch.distributed.piplining | jin2001-2001 | open | [
"oncall: distributed"
] | 0 | NONE | ### 📚 The doc issue
The tutorial provides the following example for how to use the build_stage helper function in `torch.distributed.piplining` :
```from torch.distributed.pipelining import build_stage
from torch.nn.parallel import DistributedDataParallel
dp_mod = DistributedDataParallel(stage_mod)
info = pipe.info(... | true |
3,040,463,307 | Failed visualized 1D DTensor | wangkuiyi | closed | [
"oncall: distributed",
"module: dtensor"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
To reproduce this issue, run the follow script using torchrun:
```python
import torch.distributed.tensor.debug
import torch.distributed.tensor as dt
import torch.distributed as dist
import os
rank = int(os.getenv("RANK", "0"))
def render(t, msg):
if rank == 0:
print(msg)
... | true |
3,040,460,352 | Clean up CUTLASS_VERSION post cutlass version update | henrylhtsang | closed | [
"good first issue",
"triaged",
"actionable",
"topic: not user facing",
"module: core aten"
] | 4 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
For example here
https://github.com/pytorch/pytorch/blob/main/aten/src/ATen/native/cuda/cutlass_extensions/epilogue/thread/ft_fused_activations.h#L75
don't forget to remove #include <cutlass/version.h>
### Alternatives
_No response_
### Additional context
_No response_
c... | true |
3,040,429,229 | [partitioner] Fix argument to _broadcast_on_rank0 | fmassa | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 5 | MEMBER | Summary:
There was a bug when I refactored my original implementation.
This should fix it
Test Plan: Run on some internal workloads
Differential Revision: D74190485
| true |
3,040,423,446 | torch.distributions.Beta.entropy returns negative values | MaHaArt | closed | [
"module: distributions",
"triaged"
] | 1 | NONE | ### 🐛 Describe the bug
Beta distribution returns negative values for perfectly legal alpha / beta parameters. It seems that the sign is flipped. The following code shows the results of the pytorch built-in function vs. a custom implementation.
```
import torch
from torch.special import digamma
def stable_beta_entr... | true |
3,040,407,022 | [inductor] Allow num_program specification for TMA workspace | mandroid6 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Summary:
Allow TMA workspace creation allow specification for `num_programs`, which defaults to `num_sms` when not specified.
We need a total `num_programs * num_tma_descriptors` no. of descriptors for a kernel.
Test Plan: CI.
Differential Revision: D74189599
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobi... | true |
3,040,369,015 | ci: Remove conda-env-macOS-ARM64, prefer pip | seemethere | open | [
"topic: not user facing",
"ciflow/mps"
] | 1 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #152843
* #152545
Also introduces a setup-macos action which should give us some
flexibility on how we set up our macOS jobs
Signed-off-by: Eli Uriegas <eliuriegas@meta.com> | true |
3,040,343,437 | Add memory reporting for XPU to Memory Profiler | frost-intel | open | [
"open source",
"ciflow/trunk",
"ciflow/xpu",
"release notes: xpu"
] | 4 | COLLABORATOR | Adds support for XPU profile_memory in Pytorch Profiler.
Currently, when `profile_memory=True` is passed to `torch.profiler.profile`, there is no XPU memory reported. For example, the profiling table printed by the code below is missing any `XPU Mem` columns:
<details><summary>profiling.py</summary>
<p>
```py... | true |
3,040,305,275 | [ROCm] opportunistic fastatomics - fix build error with newer compilers | pragupta | closed | [
"module: rocm",
"open source",
"Merged",
"ciflow/trunk",
"release notes: cuda",
"ciflow/inductor-rocm",
"ciflow/rocm-mi300"
] | 7 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
3,040,294,257 | [precompile] Add BundledAOTAutogradCacheEntry | jamesjwu | open | [
"topic: not user facing",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #153064
* __->__ #152840
Finally, this PR adds BundledAOTAutogradCacheEntry. A BundledAOTAutogradCacheEntry is an AOTAutogradCacheEntry that saves the entire CompiledFxGraph directly in the entry.
| true |
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