id int64 2.74B 3.05B | title stringlengths 1 255 | user stringlengths 2 26 | state stringclasses 2
values | labels listlengths 0 24 | comments int64 0 206 | author_association stringclasses 4
values | body stringlengths 7 62.5k ⌀ | is_title bool 1
class |
|---|---|---|---|---|---|---|---|---|
2,993,658,007 | [ROCm][CI/CD] create ROCm 6.4 images, part 1, skip magma tarball | jithunnair-amd | closed | [
"module: rocm",
"open source",
"Merged",
"topic: not user facing",
"ciflow/rocm"
] | 10 | COLLABORATOR | cc @jeffdaily @sunway513 @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,993,652,914 | [inductor][take 2] Change minimum number of SMs to 58 to let L4 Ada use Triton GEMM backend | henrylhtsang | closed | [
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #148622
* __->__ #151235
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,993,644,674 | NCCL: Fix cmake file when cross compiling. | kumpera | open | [
"triaged",
"open source"
] | 4 | CONTRIBUTOR | When cross compiling pytorch, we cannot execute compiled code.
FindNCCL uses try_run to check if the header version matches the binary version.
This fixes cross compilation scenarios by checking for CMAKE_CROSSCOMPILING prior to try_execute.
| true |
2,993,585,344 | Code Injection via `torch.jit.annotations.parse_type_line()` | paul-gerste-sonarsource | open | [
"oncall: jit",
"security"
] | 1 | NONE | ### 🐛 Describe the bug
We found the mitigation of https://github.com/pytorch/pytorch/issues/88868 to be incomplete. It is still possible to execute arbitrary Python code when controlling the input to `torch.jit.annotations.parse_type_line()` by bypassing the filter in `_eval_no_call()`.
Impact: An attacker that can ... | true |
2,993,573,908 | [logging] Separate cuda synchronize overhead in pad_mm | masnesral | closed | [
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151232
Summary: In order to more accurately debug the overhead of pad_mm, explicity do a cuda.synchronize before benchmarking.
Test Plan: See internal test plan here: https://fburl.com/f365xfcj
cc @voznesenskym @penguinwu @EikanWan... | true |
2,993,571,566 | [logging] Separate cuda synchronize overhead in autotuning | masnesral | closed | [
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151231
Summary: In order to more accurately debug the overhead of autotuning, explicity do a cuda.synchronize before benchmarking and time that.
Test Plan: See internal test plan here: https://fburl.com/f365xfcj
cc @voznesenskym @p... | true |
2,993,554,760 | [ROCM] Fix in-place aten sum with specialized templated kernels. | carlobertolli | closed | [
"module: rocm",
"open source",
"Merged",
"ciflow/trunk",
"release notes: cuda",
"ciflow/rocm"
] | 3 | CONTRIBUTOR | We noticed a regression when doing aten.sum in-place (a+=b) and the type of the output is not the same as the functor.
Co-authored by: Jerry Mannil <jerry.mannil@amd.com>
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,993,464,427 | DISABLED test_foreach_reduce_large_input__foreach_max_w_empty_False_cuda_bool (__main__.TestForeachCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"module: mta"
] | 2 | NONE | Platforms: linux, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_foreach_reduce_large_input__foreach_max_w_empty_False_cuda_bool&suite=TestForeachCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs... | true |
2,993,464,426 | DISABLED test_parity__foreach_add_fastpath_inplace_cuda_bfloat16 (__main__.TestForeachCUDA) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"module: mta"
] | 2 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_parity__foreach_add_fastpath_inplace_cuda_bfloat16&suite=TestForeachCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40495820555).
Ove... | true |
2,993,302,960 | Add @requires_multicast_support to test_multimem_all_gather | pragupta | closed | [
"oncall: distributed",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/periodic",
"ciflow/periodic-rocm-mi300"
] | 6 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k | true |
2,993,268,125 | [Easy] The event_id of torch.cuda.Event and torch.xpu.Event always is 0 | FFFrog | closed | [
"open source",
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"ciflow/xpu",
"ci-no-td"
] | 21 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151226
* #151411
* #151221
* #151404
Although torch.cuda.Event and torch.xpu.Event have cuda_event and sycl_event fields respectively, the event_id exposed from the base class torch.Event is always 0, which can confuse users.
The me... | true |
2,993,255,140 | [dynamo] keep C++ symbolic shape guards disabled for benchmarks | isuruf | open | [
"open source",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #140756
* __->__ #151225
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,993,139,653 | [MPSInductor] Fix noop codegen | 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):
* __->__ #151224
By adding `pass` in front of the comment for fake set_device call
Which fixes `TestGPU.test_zero_element_mutation_mps`, which previously
failed with
```
torch._inductor.exc.InductorError: RuntimeError: Failed to import /var/fo... | true |
2,993,064,703 | [FSDP] Cannot writeback when the parameter shape changes | efsotr | open | [
"oncall: distributed",
"triaged"
] | 1 | NONE | ### 🐛 Describe the bug
```python
import os
import torch
from torch import nn
from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
cmd = """
CUDA_VISIBLE_DEVICES=0 torchrun --nproc-per-node=1 mini_bug_reproduce.py # raise error
CUDA_VISIBLE_DEVICES=0,1 torchrun --nproc-per-node=2 mini_bug_reproduce.py ... | true |
2,992,942,401 | [FSDP] Detail information about parameters when raising errors | efsotr | open | [
"oncall: distributed",
"triaged"
] | 0 | NONE | ### 🚀 The feature, motivation and pitch
When raising an error, please provide the fully qualified name of the parameter within the model hierarchy, such as `model.layers[0].self_attn.q_proj.weight`, `model.layers[0].mlp.gate_proj.weight`.
Relevant Code
for example:
https://github.com/pytorch/pytorch/blob/d5a19e4525... | true |
2,992,915,351 | [Easy] Fix the function signature of torch.Event | FFFrog | closed | [
"open source",
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"ci-no-td"
] | 31 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151226
* #151411
* __->__ #151221
* #151404
As the title stated.
The difference between declaration and implemention.
declaration:
https://github.com/pytorch/pytorch/blob/d5a19e4525f49049f822930ed85fe32bb004589c/torch/_C/__init__.pyi.in#L1... | true |
2,992,833,206 | Rendezvous on dead node | georgkaleido | open | [
"oncall: distributed",
"triaged",
"open source",
"release notes: distributed (torchelastic)"
] | 2 | NONE | This fixes #111646. If a participant in a completed(aka ongoing) rendezvous leaves, this will not trigger a rerendezvous even though [docs state as much](https://github.com/pytorch/pytorch/blob/d5a19e4525f49049f822930ed85fe32bb004589c/torch/distributed/elastic/rendezvous/__init__.py#L69).
We force the agent to resta... | true |
2,992,754,383 | Optimize typing in `lr_scheduler.py` | zeshengzong | closed | [
"open source",
"Merged",
"ciflow/trunk",
"release notes: optim"
] | 3 | CONTRIBUTOR | ## Changes
- Add typing annotation in `lr_scheduler.py`
## Test Result
```bash
pytest test/optim/test_lrscheduler.py -vv
```
| true |
2,992,721,334 | Implement MKLGenerator | michalowski-arm | open | [
"module: cpu",
"triaged",
"open source",
"topic: not user facing",
"module: dynamo",
"skip-url-lint"
] | 22 | CONTRIBUTOR | This PR aims to fix the issue from #132395 by implementing a new `MKLGeneratorImpl` that stores a consistent, global `vslStream` for use in random numbers generation. This path was previously disabled due to a problem of repeating variates, caused by repeated reseeding of the MKL generator with variates from the `CPUGe... | true |
2,992,595,547 | [Dynamo] add torch.Event && torch.Stream into _in_graph_classes of UserDefinedClassVariable | FFFrog | open | [
"open source",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151217
* #151213
* #151208
As the title stated.
Repro Codes:
```Python
torch.compile(backend="eager")
def func():
stream = torch.Stream(device="cuda:0")
event = torch.Event()
event.record(stream)
event.synchronize(... | true |
2,992,499,362 | DISABLED test_queues (__main__.LibUvTCPStoreTest) | pytorch-bot[bot] | closed | [
"oncall: distributed",
"module: flaky-tests",
"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_queues&suite=LibUvTCPStoreTest&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40480609862).
Over the past 3 hours, it has been determined... | true |
2,992,499,062 | DISABLED test_queues (__main__.PrefixTCPStoreTest) | pytorch-bot[bot] | closed | [
"oncall: distributed",
"module: flaky-tests",
"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_queues&suite=PrefixTCPStoreTest&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40480609862).
Over the past 3 hours, it has been determine... | true |
2,992,498,972 | DISABLED test_parity__foreach_acos_fastpath_outplace_cuda_float64 (__main__.TestForeachCUDA) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"module: mta"
] | 5 | NONE | Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_parity__foreach_acos_fastpath_outplace_cuda_float64&suite=TestForeachCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/40481457003).
Ov... | true |
2,992,404,266 | [Event] add weakref for torch.Event | FFFrog | open | [
"open source",
"topic: not user facing"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151217
* __->__ #151213
* #151208
**Backgroup:**
`torch._dynamo.utils.store_user_object_weakref(value)` was introduted by this [PR](https://github.com/pytorch/pytorch/pull/133635/files#diff-9f0663783bcd93e948e0491ef61b48123bdc9977bcc632fd70... | true |
2,992,212,794 | Super tiny fix typo | fzyzcjy | closed | [
"open source",
"Merged",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
| true |
2,992,175,620 | [xla hash update] update the pinned xla hash | pytorchupdatebot | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 9 | COLLABORATOR | This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned xla hash. | true |
2,992,175,519 | [ONNX] exported nodes of Multi-head attention can be simplified | m23ayou2 | open | [
"module: onnx",
"triaged"
] | 7 | NONE | I am exporting the nn.multiheadattention layer from pytorch to onnx and i have seen that many new operations that are not expected
Is it a bug or a feature! | true |
2,992,171,964 | [Dynamo] Fix the unimplemented_v2 of EventVariable.call_method in ctx_manager.py | FFFrog | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 4 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151217
* #151213
* __->__ #151208
Changes:
- Field of `explanations` shoule be `str` instead of `tuple`
- Not only `torch.cuda.Event`, but alse `torch.xpu.Event` can trigger this message.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guo... | true |
2,992,171,404 | Update slow tests | pytorchupdatebot | open | [
"open source",
"ciflow/trunk",
"topic: not user facing",
"ciflow/slow",
"ci-no-td"
] | 13 | COLLABORATOR | This PR is auto-generated weekly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/weekly.yml).
Update the list of slow tests. | true |
2,992,170,495 | Fix corner case in `torch.arange()` where int64_t truncation leads to size 0 | shink | open | [
"triaged",
"open source",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Fixes #149097
### Changes
This PR introduces a workaround for corner case where casting start/end/step to int64_t may introduce precision loss. If all values are within the range that double can represent exactly (i.e., [-2^53, 2^53]), we prefer using double arithmetic for consistency across devices. Otherwise, f... | true |
2,992,150,389 | Fix `MaskedTensor` to device ignored mask | zeshengzong | open | [
"triaged",
"open source",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Fixes #147140
## Changes
- Add `to` implementation in `MaskedTensor` to support move `mask` to target device
## Test Result
```python
In [1]: import torch
...: from torch.masked import as_masked_tensor
...: data = torch.tensor([1,2,3])
...: mask = torch.tensor([True,False,True])
...: mt = a... | true |
2,992,080,311 | [Dynamo] Dynamo fails to trace reduce_scatter_v | yyp0 | open | [
"oncall: distributed",
"triaged",
"module: c10d",
"oncall: pt2",
"module: dynamo"
] | 3 | NONE | ### 🐛 Describe the bug
When attempting to trace a module containing reduce_scatter operations with Dynamo (where input tensors have varying sizes), the following error occurs:
```
from user code:
File "<eval_with_key>.0", line 659, in forward
call_backward_2 = torch__dynamo_external_utils_call_backward(g... | true |
2,992,065,212 | Turn off symm_mem when cuda version is <12.3 | xw285cornell | closed | [
"oncall: distributed",
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 8 | CONTRIBUTOR | Summary: It looks symmetric memory only supports cuda12.3+. We do have the definition w/ 12.3- but we don't have implementation. So maybe a good idea to even disable the definition.
Test Plan: CI
Reviewed By: jianyuh, houseroad, ngimel, jiawenliu64
Differential Revision: D72936993
cc @H-Huang @awgu @wanchaol @fe... | true |
2,991,946,118 | torch.compile doesn't respect `torch.set_default_device` | bobrenjc93 | open | [
"triaged",
"oncall: pt2",
"module: dynamo"
] | 2 | CONTRIBUTOR | ```
import torch
torch.set_default_device('cuda')
def foo(x):
return x * torch.randn(1)
x = torch.randn(1)
foo(x) # eager ok
torch.compile(foo)(x) # compile not ok because torch.randn doesn't use the default device
```
gives the following compile error
```
(/home/bobren/local/a/pytorch-env) [22:39] devgpu035:/hom... | true |
2,991,873,813 | I can't compile Pytorch 2.0.0 because ninja: error: build.ninja:10911: multiple rules generate caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/UfuncCPUKernel_add.cpp.DEFAULT.cpp.o | gty1829 | open | [
"needs reproduction",
"module: build",
"triaged"
] | 2 | NONE |
After I run `DEBUG=1 USE_DISTRIBUTED=0 USE_MKLDNN=0 USE_CUDA=0 BUILD_TEST=0 USE_FBGEMM=0 USE_NNPACK=0 USE_QNNPACK=0 USE_XNNPACK=0 python setup.py develop`, the compiler finally output as follows:
I didn't change CMakeList.txt.
... | true |
2,991,846,243 | [torch.export] Exported model with LSTM has outputs c_n and h_n with wrong dimensions | alaa-ali | open | [
"oncall: pt2",
"oncall: export"
] | 1 | NONE | ### 🐛 Describe the bug
There is a bug in torch.export when exporting a model with LSTM layer.
When running the following source code in Python, these two outputs of LSTM layer (h_n, c_n) don't match the expected shapes. The generated output for internal states has an additional unnecessary dimension. The shapes are 4... | true |
2,991,822,586 | [CUDA Graph tree] Cannot capture buffer allocation on side CUDA Streams | lirundong | closed | [
"triaged",
"module: cuda graphs"
] | 7 | NONE | ### 🐛 Describe the bug
Inductor CUDA Graph Tree implementation cannot capture multi-stream programs that contain buffer allocations on side streams.
## A minimal example
```python
import torch
from torch._inductor.cudagraph_trees import cudagraphify_impl
from torch._inductor.cudagraph_trees import reset_cudagraph_t... | true |
2,991,770,840 | [inductor] [silent incorrectness] `torch.nn.PairwiseDistance(p=2)` outputs incorrect results with eager | shaoyuyoung | open | [
"high priority",
"triaged",
"module: correctness (silent)",
"oncall: pt2",
"module: inductor",
"ubn"
] | 8 | CONTRIBUTOR | ### 🐛 Describe the bug
**symptom**: `torch.nn.PairwiseDistance(p=2)` outputs incorrect results
**device backend**: both triton and CPP
**note**: I have used `fp64` as baseline to compare the results
**repro**
```python
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch._inductor import conf... | true |
2,991,725,957 | Fix `keepdim` param optional description | zeshengzong | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: python_frontend"
] | 7 | CONTRIBUTOR | Fixes #151104
Fix optional description of `dim` and `keepdim`, except `torch.quantile` which already fixed in #146485
## Test Result
### Before
### After
![image](https://github.com/user-attachments/assets/e5a... | true |
2,991,645,017 | compile of vmap of jacfwd fails | marikgoldstein | open | [
"triaged",
"oncall: pt2",
"module: functorch"
] | 0 | NONE | ### 🐛 Describe the bug
Hi Pytorch Compile developers,
Thanks so much for the great library and functionality.
I looked around but couldn't find the following as an existing issue.
In short:
calling vmap of jacfwd of a function works for me, but compiling it triggers an assert that prints out a message, saying I... | true |
2,991,585,470 | [executorch hash update] update the pinned executorch 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 executorch hash. | true |
2,991,567,644 | Mark auto_functionalized HOPs as cacheable | zou3519 | closed | [
"Merged",
"ciflow/trunk",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"release notes: inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151194
* #151193
Fixes #151188
Test Plan:
- new tests
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang ... | true |
2,991,567,589 | Improve sort with non-constant keys error message | zou3519 | closed | [
"Merged",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151194
* __->__ #151193
Fixes https://github.com/pytorch/pytorch/issues/143505
Test Plan:
- new test
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kaden... | true |
2,991,481,764 | [ZCH vNext] Bucket offsets and sizes in torchrec shard metadata for bucket wise sharding | faran928 | open | [
"oncall: distributed",
"fb-exported",
"release notes: distributed (sharded)"
] | 10 | CONTRIBUTOR | Summary:
X-link: https://github.com/pytorch/torchrec/pull/2885
X-link: https://github.com/pytorch/torchrec/pull/2884
Bucket offsets and sizes in torchrec shard metadata for bucket wise sharding for ZCH v.Next
Test Plan: buck test torchrec/distributed/tests:test_sharding_plan
Differential Revision: D72921209
cc ... | true |
2,991,438,422 | Fix DWConv in QNNPACK for aarch32 | joseluisbf-kpsr | open | [
"module: cpu",
"triaged",
"open source",
"release notes: quantization"
] | 2 | NONE | Some function arguments are stored below the stack pointer, that is, in a free memory area. Any call that stores values in the SP (e.g. OS context switch) will corrupt these values after return. We didn't face this problem in Linux, but it raises an `_ARMV4_Exception_data_abort_default` in RTEMS.
cc @jgong5 @mingfei... | true |
2,991,404,420 | Clarify that x and dx are mutually exclusive in torch.trapezoid doc | aishwaryar12309 | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: python_frontend"
] | 6 | CONTRIBUTOR | This PR addresses [#151105](https://github.com/pytorch/pytorch/issues/151105) by stating that x and dx are mutually exclusive parameters in torch.trapezoid()
| true |
2,991,389,434 | NotImplementedError: The operator 'aten::_linalg_solve_ex.result' is not currently implemented for the MPS device. Available in nightly for CPU. | peterdn1 | closed | [
"triaged",
"module: linear algebra",
"module: mps"
] | 1 | NONE | ### 🐛 Describe the bug
The HiDream-i1 model (currently among the most advanced open-source AI image generators) was released on Hugging Face this week (April 8, 2025). While the full model fails to run on an RTX 5090, I’ve successfully managed to load all components on my M1, with some minor code modifications to th... | true |
2,991,284,069 | Make auto_functionalize HOPs cacheable | zou3519 | closed | [
"oncall: pt2",
"module: higher order operators",
"module: pt2-dispatcher",
"dynamo-triage-jan2025"
] | 0 | CONTRIBUTOR | I think this should go into 2.7.1. This was the reason that sglang had torch.compile caching issues and the fix is very simple.
cc @chauhang @penguinwu @ydwu4 @bdhirsh | true |
2,991,262,051 | [aot] remove zip in remove_dupe_args | bobrenjc93 | closed | [
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151187
| true |
2,991,254,107 | autograd: Add VJP and JVP rules for aten::aminmax | vijayabhaskar-ev | open | [
"triaged",
"open source",
"release notes: autograd"
] | 5 | NONE | Adds functionally correct backward (VJP) and forward (JVP) autograd rules for the aten::aminmax operator to derivatives.yaml using existing helper functions. This ensures correct eager mode differentiation.
Fixes #148808
| true |
2,991,167,688 | fix sympy FloorToInt when compile | zhangheng408 | open | [
"module: cpu",
"triaged",
"open source"
] | 4 | NONE | fix follow error
<img width="1903" alt="image" src="https://github.com/user-attachments/assets/2d967bc4-f884-4e5f-b1d4-d8cca2f281a7" />
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 | true |
2,991,102,596 | [dynamo] Prevent lazy variable realization on STORE_FAST | anijain2305 | open | [
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"ciflow/pull"
] | 27 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151184
Fixes https://github.com/pytorch/pytorch/issues/131893
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,991,093,443 | [Inductor] Add Additional Configs for persistent+TMA version of Triton mm and addmm | NikhilAPatel | closed | [
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* (to be filled)
Summary:
This PR introduces additional autotuning configurations for the persistent+TMA version of Triton `mm` and `addmm` operations. The new configurations are as follows:
* `(128, 128, 64, 5, 8)`
* `(256, 128, 64, 4, 8)`
* ... | true |
2,991,077,077 | A problem discovered when computing complex matrices in deep neural networks | DareikAndPutty | open | [
"triaged",
"module: complex",
"module: NaNs and Infs"
] | 4 | NONE | ### 🐛 Describe the bug
Previously, while working with the latest YOLO model provided by Ultralytics, I attempted an operation where I performed torch.fft.fft2() on the output feature maps of certain CSPBlocks to obtain their corresponding complex matrices. I then manipulated the modulus matrices of these complex matr... | true |
2,990,935,528 | Docs: Fix typos in the Symbolic Numbers docstrings | koyuki7w | closed | [
"open source",
"Merged",
"topic: not user facing"
] | 3 | CONTRIBUTOR | null | true |
2,990,919,873 | metamate attempt 0 multi graph | bobrenjc93 | closed | [
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151180
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,990,919,836 | [ez] remove unused arg in _create_wrapped_callback | bobrenjc93 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151180
* __->__ #151179
* #150828
* #150755
* #150754
* #150753
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,990,835,779 | Optimize `cdist` param description | zeshengzong | closed | [
"open source",
"Merged",
"ciflow/trunk",
"release notes: python_frontend",
"topic: docs"
] | 3 | CONTRIBUTOR | Fixes #151101
| true |
2,990,808,924 | [MPS] Get Vmap to work with mps backend | qqaatw | open | [
"open source",
"ciflow/trunk",
"release notes: mps",
"ciflow/mps"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151177
| true |
2,990,808,901 | [MPS] Fix where | qqaatw | closed | [
"open source",
"Merged",
"ciflow/trunk",
"release notes: mps",
"ciflow/mps"
] | 4 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151177
* __->__ #151176
Fixes #150967 | true |
2,990,805,335 | improve noop elimination for slice and slice_scatter | BoyuanFeng | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Improves noop elimination for `slice` and `slice_scatter`.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,990,801,571 | [MPS] Fix where | qqaatw | closed | [
"release notes: mps",
"ciflow/mps"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* (to be filled)
| true |
2,990,800,805 | [MPS] Fix where | qqaatw | closed | [
"release notes: mps",
"ciflow/mps"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* (to be filled)
| true |
2,990,740,684 | [wip test] (sizes[i] == 0) | laithsakka | closed | [] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151172
* #151171
* #151170
| true |
2,990,732,908 | Fix: missing () in generated runtime assert c++ code | laithsakka | 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):
* __->__ #151171
* #151170
Address one of the issues in https://github.com/pytorch/pytorch/issues/151127
generated code used to be
not a==5 or b==5
should be
not (a==5 or b==5)
address one of the issues in the comments of Address on... | true |
2,990,728,489 | Fix Issues in deferring runtime assertions. | laithsakka | closed | [
"Merged",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151171
* __->__ #151170
This PR fix two bugs:
1) Update self.bound_unbacked_symbols before emitting runtime asserts :
set self.bound_unbacked_symbols before emitting runtime asserts to include runtime asserts depending on the current no... | true |
2,990,724,738 | [dynamo][error message] Hint for dict_items as inputs to the compiled region | anijain2305 | 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):
* #151184
* __->__ #151169
* #151168
* #151164
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,990,711,965 | [dynamo] Graph break fixes while tracing inspect module | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151184
* #151169
* __->__ #151168
* #151164
Fixes https://github.com/pytorch/pytorch/issues/139374
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @... | true |
2,990,704,071 | [Testing] Skip `test_unspec_inputs_float64_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):
* #151155
* __->__ #151167
* #151166
As backend does nto support float64
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @c... | true |
2,990,704,045 | [CI] Fix `GPUTests.test_scheduler_vertical_fusion1` | malfet | closed | [
"Merged",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* (to be filled)
By enabling the test_operators on MPS device
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aa... | true |
2,990,703,147 | Bug on running TorchScript on H100 | mikeybydun1 | open | [
"oncall: jit"
] | 0 | NONE | Hello,
I have a torch script that using torch 1.13.0 (cuda version),
I am compiling a pytorch code into .pt file and then run the model.
On every gpu its working well (a100 for example),
but when i run the same code on NVIDIA H100 the results just became nan.
Do you have any idea why?
Pytorch version? what i need to c... | true |
2,990,680,681 | [dynamo][nn_module] Use method.__self__ to find source for patched methods | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151169
* #151168
* __->__ #151164
Fixes https://github.com/pytorch/pytorch/issues/137476
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhan... | true |
2,990,633,295 | [CUDA][cuBLAS][cuBLASLt] Opt-in unified cuBLAS + cuBLASLt workspaces | eqy | closed | [
"module: cuda",
"module: cublas",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 6 | COLLABORATOR | opt-in version of https://github.com/pytorch/pytorch/pull/145130 as there was a lack of repro for the 70% forward issue
`TORCH_CUBLASLT_UNIFIED_WORKSPACE=1`
@izaitsevfb could you comment if it was repeatable per every forward pass, on startup, or something else?
cc @ptrblck @msaroufim @jerryzh168 @csarofeen @xwa... | true |
2,990,578,308 | add keepdim to cosine similarity(cpp-change) | Isalia20 | open | [
"module: nn",
"triaged",
"open source",
"release notes: nn",
"topic: improvements"
] | 3 | COLLABORATOR | Part of #149134 cpp changes. Not sure if anything else should be changed in this part of the PR. If I change the input argument then I need to change the native_functions.yaml as well
cc @albanD @mruberry @jbschlosser @walterddr @mikaylagawarecki | true |
2,990,540,068 | Update ir.cpp: if it's not ROCm then it may be Vulkan | Efenstor | closed | [
"oncall: jit",
"module: rocm",
"open source",
"module: vulkan",
"release notes: jit"
] | 2 | NONE | Fix build for USE_ROCM=OFF USE_VULKAN=ON
cc @EikanWang @jgong5 @wenzhe-nrv @sanchitintel @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,990,483,037 | [CI][CUDA] Disable scaled_gemm tests on blackwell | abhilash1910 | closed | [
"triaged",
"open source",
"topic: not user facing"
] | 6 | NONE | On SM100 or later , torch._scaled_mm is not supported;
It is supported till compute capability 9.0
cc @nWEIdia @tinglvv @eqy
| true |
2,990,359,956 | Failed to destroy or init process group after calling _abort_process_group | Gong-air | open | [
"oncall: distributed",
"triaged"
] | 1 | NONE | ### 🐛 Describe the bug
In a distributed training scenario using PyTorch's torch.distributed module, I encountered an issue when attempting to destroy or reinitialize a process group after calling the internal function _abort_process_group. This issue prevents me from creating new process groups or reinitializing the ... | true |
2,990,304,768 | Fix license check for setuptools>=77 | oraluben | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Fixes #151157
See issue for more information | true |
2,990,297,710 | `test_distinfo_license` failed after `setuptools>=77` | oraluben | closed | [
"module: build",
"module: tests",
"triaged"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
`test_distinfo_license` checkes if `LICENSE` file exists under `torch-<version>.dist-info/` in the wheel.
After https://github.com/pypa/setuptools/commit/ef9b8e5c5eec50853c4cd2ceeccbf5f963172560 ([setuptools v77.0](https://github.com/pypa/setuptools/releases/tag/v77.0.0)), `<pkg>.dist-info/{LI... | true |
2,990,194,792 | Inductor doesn't support tensor.view(dtype).copy_(...) | YouJiacheng | closed | [
"high priority",
"triaged",
"module: correctness (silent)",
"oncall: pt2",
"module: inductor"
] | 5 | CONTRIBUTOR | ### 🐛 Describe the bug
```python
import os
import torch
from torch import Tensor
os.environ["TORCHINDUCTOR_FX_GRAPH_CACHE"] = "0"
os.environ["TORCHINDUCTOR_UNIQUE_KERNEL_NAMES"] = "1"
os.environ["TORCHINDUCTOR_BENCHMARK_KERNEL"] = "1"
@torch.compile
def view_copy(target: Tensor, source: Tensor):
assert target... | true |
2,990,121,861 | [MPS] Start benchmarking compile results | malfet | closed | [
"Merged",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151155
To know passrate and speedup.
Modify workflow to run when `macos-test.sh` is modified.
Got some ridiculous speedup numbers, like 7x for resnet and 93x for yolo | true |
2,990,083,087 | [dynamo][super variable] Fix bug to use correct source | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"keep-going"
] | 12 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151154
Fixes https://github.com/pytorch/pytorch/issues/150994
We should cherry-pick to 2.7 branch if possible, because this breaks torch.compile on some HF models. Look at the issue referenced here.
cc @voznesenskym @penguinwu... | true |
2,990,081,302 | DISABLED test_allgather_stress_cuda (__main__.ProcessGroupGlooLazyInitTest) | jithunnair-amd | open | [
"oncall: distributed",
"module: rocm",
"triaged",
"skipped"
] | 2 | COLLABORATOR | Platforms: rocm
This test was disabled because it failed on the MI300 runners in #150667: https://github.com/pytorch/pytorch/actions/runs/14372628446/job/40320881178
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @jeffdaily @sunway513 @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @n... | true |
2,990,028,958 | [MPSInductor] Fix larger-than-threadgroup Welford reductions | malfet | closed | [
"Merged",
"Reverted",
"topic: improvements",
"release notes: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 8 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151152
* #151151
* #150824
* #151042
By using `welford_combine` primitive in the loop
This fixes `GPUTests.test_multilayer_var_lowp_mps`
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blz... | true |
2,990,028,923 | [MPSInductor][BE] Implement reduction caching | malfet | closed | [
"Merged",
"topic: improvements",
"topic: not user facing",
"release notes: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151155
* #151152
* __->__ #151151
* #150824
* #151042
That avoids double/triple invocation of welford reductions when both
mean and deviation must be returned
Code has been copy-n-pasted for Halide implementation
https://github.com/py... | true |
2,989,995,356 | Fix TypeIndex.h signature extraction | r-barnes | open | [
"fb-exported",
"ciflow/trunk"
] | 3 | CONTRIBUTOR | Summary:
Addresses [this post](https://fb.workplace.com/groups/1405155842844877/permalink/24043640001903139/).
[List of broken tests](https://l.workplace.com/l.php?u=https%3A%2F%2Fwww.internalfb.com%2Fomh%2Fview%2Fxrcia_encoder_pe%2Ftests%3Fpower_search_query%3D%257B%2522key%2522%253A%2522TEST_ISSUES_ROOT_AND%2522%252... | true |
2,989,965,826 | Update _ordered_set.py | ghost | closed | [
"triaged",
"open source",
"topic: not user facing"
] | 4 | NONE | Fixes #150850
Subclass torch/utils/_ordered_set.py and error on update.
@pytorchbot label "topic: not user facing"
| true |
2,989,964,185 | [fbgemm_gpu] Incorporate Torch DSA | q10 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 11 | CONTRIBUTOR | Summary:
X-link: https://github.com/facebookresearch/FBGEMM/pull/1035
X-link: https://github.com/pytorch/FBGEMM/pull/3950
- Incorporte the PyTorch DSA infrastructure into the FBGEMM kernel launcher
utility
Test Plan:
```
# Nvidia
buck2 test 'fbcode//mode/opt' fbcode//deeplearning/fbgemm/fbgemm_gpu/test/utils:tenso... | true |
2,989,962,042 | move find_hop_schema into _higher_order_ops/schema.py | ydwu4 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 9 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151067
* __->__ #151147
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,989,962,009 | [hop] Make base_hop share utils with control flow ops in backward | ydwu4 | open | [
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #151067
* #151147
* __->__ #151146
| true |
2,989,946,000 | [dynamo] unimplemented -> unimplemented_v2 in variables/builtin.py | williamwen42 | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"keep-going",
"module: compile ux"
] | 3 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #151145
cc @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,989,904,078 | [Inductor] Add utility to rewrite sympy expressions with FloorDiv | blaine-rister | closed | [
"module: cpu",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Feature used in https://github.com/pytorch/pytorch/pull/146942.
# Feature
This PR a two new routines:
- Pattern match `floor(x/y)` and convert it to `x // y`. This is done by a new static method `FloorDiv.rewrite`, which is not part of sympy's general expression evaluation. The user has to specifically call this... | true |
2,989,902,093 | add torch.distributed.get_local_rank() (!?!?!?!) | vxnuaj | closed | [
"oncall: distributed"
] | 2 | NONE | ### add torch.distributed.get_local_rank() (!?!?!?!)
hey!
was writing a function that involved the following,
```python
dist.init_process_group(backend = backend)
local_rank = dist.get_local_rank()
rank = dist.get_rank()
world_size = dist.get_world_size()
torch.cuda.set_device(rank)
device = torch.device(f'cuda:{r... | true |
2,989,898,890 | AOT Dispatcher converts a single `detach` call to multiple `aten.detach` | StrongerXi | open | [
"triaged",
"oncall: pt2",
"module: aotdispatch",
"module: pt2-dispatcher"
] | 3 | CONTRIBUTOR | ### 🐛 Describe the bug
I observed this in #150706, where a `detach` in Dynamo graph becomes multiple `aten.alias` in AOT graph, [tlparse](https://manifold.edge.x2p.facebook.net/v0/read/tree/logs/.tmpqAJWZf/-_0_0_0/compilation_metrics_13.html?bucketName=tlparse_reports&apiKey=tlparse_reports-key&withPayload=1&timeoutM... | true |
2,989,879,508 | [AOTInductor] Add Python interface for user managed buffer. | muchulee8 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Summary: Add pybind for user managed buffer in update_constants_buffer.
Test Plan:
Included in commit.
```
python test/inductor/test_aot_inductor.py -k user_managed
```
Differential Revision: D72892310
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe... | true |
2,989,867,686 | [doc fix] fix torch export docs for preserve_module_call_signature | supercharleszhu | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: export"
] | 5 | CONTRIBUTOR | The preserve_module_call_signature explanation is missing in the __init__.py. Copying that from _trace.py
| true |
2,989,829,418 | PyTorch algorithm optimization | mikeybydun1 | closed | [] | 1 | NONE | Hello,
I have a PyTorch algorithm model (compiled into .pt file) that do torch.prod of tensor in shape (1000,400,400,144)
The algorithm takes 10 seconds on strong nvidia GPU (for exmaple A100).
I am trying to find way to make it run faster.
For now, the only effective optimization was using BFloat16.
You have any sugge... | true |
2,989,807,472 | [ROCm][TunableOp] Support submatrices in offline tuning | naromero77amd | closed | [
"module: rocm",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: linalg_frontend",
"ciflow/rocm"
] | 4 | COLLABORATOR | This PR adds support for submatrices in offline tuning for:
- GEMM
- GEMM and bias
- ScaledGEMM
- Batch Strided GEMM
New UTs to cover submatrices. Submatrices for strided batch API is not part of this PR and will be done seperately.
There is also a bug fix for offline tuning for full matrix for GEMM and bias ... | true |
2,989,785,991 | DISABLED test_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_True_use_static_cuda_launcher_False_grad_False (__main__.TestFxGraphCache) | pytorch-bot[bot] | open | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 1 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_True_use_static_cuda_launcher_False_grad_False&suite=TestFxGraphCache&limit=100) and the most recent trunk [workflow... | true |
2,989,785,951 | DISABLED test_parity__foreach_acos_fastpath_outplace_cuda_float32 (__main__.TestForeachCUDA) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"module: mta"
] | 4 | NONE | Platforms: linux, slow
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_parity__foreach_acos_fastpath_outplace_cuda_float32&suite=TestForeachCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/404125988... | true |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.