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 |
|---|---|---|---|---|---|---|---|---|
2,800,314,548 | Dynamo graph break on PEP585 generic types | aorenste | closed | [
"triaged",
"oncall: pt2",
"module: dynamo"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
If you change test/dynamo/test_misc.py test_function_annotation() from:
```python
def inner(y: typing.List[Variable]):
return x + 1
```
to
```python
def inner(y: list[Variable]):
return x + 1
```
then dynamo will graph break instead of t... | true |
2,800,218,474 | The `sympy` dependency spec for pytorch on PyPi wheel is still unchanged. | stevenleeS0ht | closed | [
"oncall: releng",
"triaged",
"module: third_party"
] | 4 | NONE | When run `pip install -U torch`, it will still require `sympy==1.13.1` and will uninstall the latest `sympy` which is version `1.13.3` in the virtual environment.
The reason is due to the dependency spec unchanged in `setup.py`. | true |
2,800,213,713 | update sympy version 1.13.3 in setup.py (previously update only in requirement.txt) | stevenleeS0ht | open | [
"open source",
"Stale",
"ciflow/binaries",
"ciflow/trunk",
"topic: not user facing"
] | 14 | NONE | Previously, only update `sympy` version number in `requirement.txt`, but `setup.py` is unchanged. In PyPI, the wheel will relay on the dependency spec in `setup.py`, so only change in `setup.py` will be effective. | true |
2,800,036,058 | Raise MutationError if there are side effects when returning generator | guilhermeleobas | closed | [
"open source",
"Merged",
"module: dynamo",
"ciflow/inductor",
"release notes: dynamo"
] | 4 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #142513
* __->__ #145223
* #144420
* #144424
* #144423
* #144422
* #144421
* #141055
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amja... | true |
2,799,780,114 | Refactoring Distributed test cases to be device agnostic [1/n] | AnantGulati | closed | [
"oncall: distributed",
"module: cpu",
"triaged",
"open source",
"module: amp (automated mixed precision)",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"module: dynamo",
"module: compiled autograd"
] | 19 | CONTRIBUTOR | In this series of PR we intend to refactoring distributed test cases to enable to be completely device agnostic.
These changes will include the following approaches to do the same :
- Allowing for multiple device types using instantiate_device_type_test
- Replacing calls to cuda stream with torch.get_device_modu... | true |
2,799,502,744 | make latexpdf | dimpy-cmd | closed | [
"module: docs",
"module: ci",
"triaged"
] | 2 | NONE | ### 🐛 Describe the bug
DEPRECATION: Legacy editable install of pytorch_sphinx_theme from git+https://github.com/pytorch/pytorch_sphinx_theme.git#egg=pytorch_sphinx_theme (from -r requirements.txt (line 2)) (setup.py develop) is deprecated. pip 25.0 will enforce this behaviour change. A possible replacement is to add ... | true |
2,799,382,763 | Regression in the compilation of the torch.all operation in PyTorch version 2.6.0 compared to 2.5.1 | wdziurdz | open | [
"triaged",
"module: regression",
"oncall: pt2",
"module: dynamo",
"module: empty tensor"
] | 3 | CONTRIBUTOR | ### 🐛 Describe the bug
There is an issue with tracing after upgrading to PyTorch 2.6.0 from 2.5.1. It appears to be a regression related to compiling the torch.all operation.
Before the upgrade, the code below compiles without any graph breaks in PyTorch 2.5.1:
```python
import torch
@torch.compile(backend="inducto... | true |
2,799,317,705 | `torch.compile` may produce wrong result with `Linear+MaxPool2d+BatchNorm2d`. | Zoeeeeey | closed | [
"oncall: pt2",
"oncall: cpu inductor"
] | 4 | NONE | ### 🐛 Describe the bug
Hi! I found that the following model gives different results after compile.
```python
import torch
def fn():
v4_0 = torch.nn.Parameter(torch.randn([8, 1, 4, 1], dtype=torch.float32), requires_grad=True)
v5_0 = torch.nn.Parameter(torch.empty([1, 1, 4, 1], dtype=torch.float32), require... | true |
2,799,241,509 | getting different results when adding `torch.Tensor` or python number to a DTensor - Is that expected? | thevasudevgupta | open | [
"oncall: distributed",
"module: dtensor"
] | 3 | NONE | ### 🐛 Describe the bug
```python
# torchrun --nproc-per-node 2 scripts/dtensor.py
import os
import torch
from torch.distributed.tensor import init_device_mesh, Shard, distribute_tensor
use_tensor = False
rank = int(os.getenv("RANK"))
world_size = int(os.getenv("WORLD_SIZE"))
torch.manual_seed(0)
tensor1 = torch.r... | true |
2,799,189,123 | DISABLED test_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_True_grad_False (__main__.TestFxGraphCache) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 4 | 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_grad_False&suite=TestFxGraphCache&limit=100) and the most recent trunk [workflow logs](https://github.com/pytor... | true |
2,799,054,463 | [ARM] - test_quantized_module.py test_lstm_api fails on Aarch64 | robert-hardwick | closed | [
"oncall: quantization",
"module: arm"
] | 3 | COLLABORATOR | ### 🐛 Describe the bug
We are seeing test_lstm_api in test_quantized_module.py fail on Aarch64. It is currently not enabled in CI - we would like to enable this.
This happens due to change of input dimensions here -https://github.com/pytorch/pytorch/blob/92b9da1fc2b0a834f54f4d97fd4a2402f47bce07/test/quantization/co... | true |
2,798,892,131 | solve apl dependency issue | alinpahontu2912 | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 7 | COLLABORATOR | According to the [APL documentation](https://developer.arm.com/documentation/101004/2404/General-information/Arm-Performance-Libraries-example-programs), libraries ending with _mp are OpenMP multi-threaded libraries.
When a project is compiled with MSVC and the -openmp flag, the vcomp library (Visual C++ implementa... | true |
2,798,884,722 | Nested tensor support for pointwise matrix multiplication of nested tensor and normal tensor | kkj15dk | open | [
"triaged",
"module: nestedtensor"
] | 9 | NONE | ### 🚀 The feature, motivation and pitch
I am using nested tensors (jagged layout) for my input data, and I need to apply rotary positional embeddings to qkv vectors.
At the moment I cannot see how to do this efficiently. I've landed on this slow list comprehension (see below), where I am slicing the normal tensor us... | true |
2,798,740,877 | Significant precision error from torch.compile | Edenzzzz | open | [
"needs reproduction",
"triaged",
"module: correctness (silent)",
"bug",
"oncall: pt2",
"module: inductor"
] | 5 | NONE | ### 🐛 Describe the bug
When wrapping torch.compile around a forward region of a model (both `reduce-overhead` and `max-autotune-no-cudagraphs`), the speed-up is accompanied by significant precision error. This happens even when wrapping around the smallest op as shown below. After enabling `CUDA_LAUNCH_BLOCKING=1`, t... | true |
2,798,732,377 | DISABLED test_remote_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_False (__main__.TestFxGraphCache) | pytorch-bot[bot] | open | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 5 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_remote_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_False&suite=TestFxGraphCache&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/p... | true |
2,798,732,275 | DISABLED test_aoti (__main__.TestMemoryPlanning) | pytorch-bot[bot] | open | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_aoti&suite=TestMemoryPlanning&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35856927508).
Over the past 3 hours, it has been determined f... | true |
2,798,732,162 | DISABLED test_reorder_peak_memory_lpmf (__main__.TestOperatorReorderForPeakMemory) | pytorch-bot[bot] | open | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 6 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_reorder_peak_memory_lpmf&suite=TestOperatorReorderForPeakMemory&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35856927699).
Over the past... | true |
2,798,675,566 | Fix incorrect citation of authors in documentation | kyo-takano | closed | [
"open source",
"Merged",
"Stale",
"ciflow/trunk",
"release notes: optim"
] | 12 | CONTRIBUTOR | This PR corrects the citation of Adafactor authors "Noam Shazeer" and "Mitchell Stern" in the documentation.
The current text incorrectly lists them as "Shazeer, Noam, and Mitchell Stern," which seems to be a result of a data parsing issue of some reference manager(s) [as you can find many papers with the same issue](... | true |
2,798,636,562 | Some FlexAttention learned bias bugs/limitations | Chillee | open | [
"triaged",
"oncall: pt2",
"module: higher order operators",
"module: pt2-dispatcher",
"module: flex attention"
] | 0 | COLLABORATOR | ### 🐛 Describe the bug
## Ex 1
```Python
import torch
from torch.nn.attention.flex_attention import flex_attention, create_block_mask, create_mask
torch.set_default_device('cuda')
flex_attention = torch.compile(flex_attention, dynamic=False)
result = torch.randn((), requires_grad=True)
def score_mod(score, b, h, q,... | true |
2,798,540,327 | When using `torch.jit.trace` with `Linear+MaxPool2d+BatchNorm2d`, different results are observed. | Zoeeeeey | closed | [] | 1 | NONE | ### 🐛 Describe the bug
Hi! I found that the following model gives different results after using `torch.jit.trace`.
Are there any bugs in this process?
```python
import numpy as np
import torch
import torch.nn as nn
class SymbolNet(nn.Module):
def __init__(self):
super(SymbolNet, self).__init__()
... | true |
2,798,443,871 | Update slow tests | pytorchupdatebot | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/slow",
"ci-no-td"
] | 6 | 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 |
2,798,351,514 | CI test: TestAutograd.test_gradcheck_nondeterministic | yanboliang | closed | [
"topic: not user facing"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145205
```
PYTORCH_TEST_WITH_DYNAMO=1 python test/test_autograd.py TestAutograd.test_gradcheck_nondeterministic
```
| true |
2,798,346,582 | [CI][CUDA][Dynamic Shape] xfail: DynamicShapesCodegenGPUTests.test_linspace4_dynamic_shapes_cuda | nWEIdia | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 6 | COLLABORATOR | python test/inductor/test_torchinductor_codegen_dynamic_shapes.py DynamicShapesCodegenGPUTests.test_linspace4_dynamic_shapes_cuda
failed to generate triton kernels, causing assert failures on 2x H100 systems (and 2x Grace H100 systems).
Failures like below:
Finline_call [] ... | true |
2,798,291,858 | Indexed ^= (XOR in-place) operation doesn't work as expected on MPS backend | TrevorPeyton | closed | [
"high priority",
"triaged",
"module: regression",
"module: correctness (silent)",
"module: mps"
] | 1 | NONE | ### 🐛 Describe the bug
The ^= (XOR in-place) operation produces incorrect results on the MPS backend. The behavior is inconsistent with other backends, such as CPU. Specifically, the operation appears to modify unintended values in the tensor.
```
import torch
# On CPU
zeros = torch.zeros((10, 2), dtype=torch.int16... | true |
2,798,234,888 | PEP585 update - torch/_higher_order_ops torch/_subclasses torch/backends torch/compiler torch/cuda torch/masked torch/mtia torch/nested | aorenste | closed | [
"Merged",
"ciflow/trunk",
"release notes: foreach_frontend",
"topic: not user facing",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145202
See #145101 for details. | true |
2,798,233,149 | PEP585 update - torch/utils | aorenste | closed | [
"oncall: jit",
"module: cpu",
"Merged",
"ciflow/trunk",
"release notes: foreach_frontend",
"topic: not user facing",
"suppress-bc-linter"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145201
See #145101 for details.
cc @EikanWang @jgong5 @wenzhe-nrv @sanchitintel @mingfeima @XiaobingSuper @ashokei @jingxu10 | true |
2,798,231,873 | PEP585 update - torch/testing | aorenste | closed | [
"oncall: distributed",
"oncall: jit",
"Merged",
"ciflow/trunk",
"release notes: distributed (rpc)",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145200
See #145101 for details.
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @EikanWang @jgong5 @wenzhe-nrv @sanchitintel | true |
2,798,230,013 | PEP585 update - torch/ao | aorenste | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"fx",
"release notes: AO frontend"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145199
See #145101 for details.
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,798,228,958 | PEP585 update - torch/_inductor | aorenste | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"suppress-bc-linter"
] | 5 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145198
See #145101 for details.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire ... | true |
2,798,088,684 | Use std::string_view in get_fully_qualified_type_name | cyyever | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 11 | COLLABORATOR | The same as #139164 but open a new PR due to messy history there. | true |
2,798,084,002 | Guard size oblivious within empty_tensor_restride_symint | bobrenjc93 | closed | [
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145196
* #145047
* #143961
| true |
2,798,062,786 | [CI][CUDA][Distributed][FSDP] Remove hardcoded world size of 2 | nWEIdia | closed | [
"oncall: distributed",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | COLLABORATOR | as these unit tests would fail if run
on a single GPU (i.e**. skip_if_lt_x_gpu(2)) seems to view world size as 2 even on platforms with 1 GPU.**
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @atalman @malfet @ptrblck @eqy @tinglvv
| true |
2,797,985,569 | Add transpose support for CppMicroGemmFP32Vec | CaoE | closed | [
"module: cpu",
"open source",
"ciflow/trunk",
"topic: improvements",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 1 | COLLABORATOR | * Add transposed B support for CppMicroGemmFP32Vec
* Add support for arbitrary N size
Expand CppMicroGemmFP32Vec to generate gemm kernel that supports transposed B and N of arbitrary size.
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @voznesenskym @penguinwu @EikanWang @Guobing-Chen @zhu... | true |
2,797,946,135 | DISABLED test_reuse_kernel_cuda (__main__.AOTInductorTestABICompatibleGpu) | pytorch-bot[bot] | closed | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | Platforms: rocm, inductor
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_reuse_kernel_cuda&suite=AOTInductorTestABICompatibleGpu&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35845021672).
Over the ... | true |
2,797,945,908 | DISABLED test_mixed_mm (__main__.TestPatternMatcher) | pytorch-bot[bot] | open | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 5 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_mixed_mm&suite=TestPatternMatcher&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35845054943).
Over the past 3 hours, it has been determin... | true |
2,797,945,867 | DISABLED test_remote_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_True (__main__.TestFxGraphCache) | pytorch-bot[bot] | open | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 5 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_remote_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_True&suite=TestFxGraphCache&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/py... | true |
2,797,945,833 | DISABLED test_remote_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_True (__main__.TestFxGraphCache) | pytorch-bot[bot] | open | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_remote_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_True&suite=TestFxGraphCache&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/p... | true |
2,797,945,778 | DISABLED test_slice_scatter_reinplace_cuda (__main__.GPUTests) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 66 | NONE | Platforms: rocm, inductor
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_slice_scatter_reinplace_cuda&suite=GPUTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35845342970).
Over the past 3 hours, ... | true |
2,797,945,728 | DISABLED test_sdpa_rewriter_12_cuda (__main__.SDPAPatternRewriterCudaDynamicTests) | pytorch-bot[bot] | open | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_sdpa_rewriter_12_cuda&suite=SDPAPatternRewriterCudaDynamicTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35844263142).
Over the past... | true |
2,797,945,683 | DISABLED test_sdpa_rewriter_12_cuda (__main__.SDPAPatternRewriterCudaTests) | pytorch-bot[bot] | open | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_sdpa_rewriter_12_cuda&suite=SDPAPatternRewriterCudaTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35845055086).
Over the past 3 hour... | true |
2,797,945,642 | DISABLED test_mm_concat_cuda (__main__.FreezingGpuTests) | pytorch-bot[bot] | open | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_mm_concat_cuda&suite=FreezingGpuTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35843835162).
Over the past 3 hours, it has been dete... | true |
2,797,945,641 | DISABLED test_mm_concat_cuda (__main__.FreezingGpuTests) | pytorch-bot[bot] | closed | [
"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_mm_concat_cuda&suite=FreezingGpuTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35845055018).
Over the past 3 hours, it has been dete... | true |
2,797,945,309 | DISABLED test_aoti_eager_cache_hit_dynamic_shapes_cuda (__main__.DynamicShapesCodegenGPUTests) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 5 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_aoti_eager_cache_hit_dynamic_shapes_cuda&suite=DynamicShapesCodegenGPUTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35845054943).
O... | true |
2,797,945,278 | DISABLED test_reorder_peak_memory_dfs (__main__.TestOperatorReorderForPeakMemory) | pytorch-bot[bot] | open | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_reorder_peak_memory_dfs&suite=TestOperatorReorderForPeakMemory&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35845054777).
Over the past ... | true |
2,797,945,264 | DISABLED test_remote_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_False (__main__.TestFxGraphCache) | pytorch-bot[bot] | open | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 5 | NONE | Platforms: rocm
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_remote_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_False&suite=TestFxGraphCache&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/... | true |
2,797,945,259 | DISABLED test_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_True_grad_True (__main__.TestFxGraphCache) | pytorch-bot[bot] | closed | [
"module: rocm",
"triaged",
"module: flaky-tests",
"skipped",
"oncall: pt2",
"module: inductor"
] | 6 | 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_grad_True&suite=TestFxGraphCache&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorc... | true |
2,797,896,021 | Added torch check to ensure indices are not empty | abcarlisle | closed | [
"triaged",
"open source",
"Stale",
"topic: not user facing"
] | 4 | CONTRIBUTOR | Fixes #142459
cc @mruberry @jbschlosser @walterddr @mikaylagawarecki | true |
2,797,788,860 | [scan] scan dim handling in user-facing scan() | bohnstingl | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo"
] | 11 | COLLABORATOR | This PR introduces the capability that the scan dim is handled in the user facing scan() call. Internally, the scan dim is always shifted to dim 0 and then the scan is performed over that dim.
This is a follow-up PR from https://github.com/bohnstingl/pytorch/pull/3
cc @voznesenskym @penguinwu @EikanWang @jgong5 @... | true |
2,797,774,272 | PEP585 update - mostly toplevels | aorenste | closed | [
"oncall: jit",
"module: amp (automated mixed precision)",
"Merged",
"ciflow/trunk",
"release notes: jit",
"topic: not user facing",
"suppress-bc-linter"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145178
See #145101 for details.
cc @EikanWang @jgong5 @wenzhe-nrv @sanchitintel @mcarilli @ptrblck @leslie-fang-intel | true |
2,797,773,847 | PEP585 update - .ci android aten | aorenste | closed | [
"Merged",
"ciflow/trunk",
"release notes: releng",
"topic: not user facing",
"suppress-bc-linter"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145177
See #145101 for details. | true |
2,797,773,687 | PEP585 update - test | aorenste | closed | [
"oncall: distributed",
"oncall: jit",
"Merged",
"ciflow/trunk",
"release notes: quantization",
"topic: not user facing",
"fx",
"module: inductor",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145176
See #145101 for details.
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @EikanWang @jgong5 @wenzhe-nrv @sanchitintel @ezyang @SherlockNoMad @voznesenskym @penguinwu @Guobing-Chen @Xiaobi... | true |
2,797,772,975 | PEP585 update - torch/nn torch/optim torch/package torch/profiler torch/serialization torch/sparse torch/xpu | aorenste | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"suppress-bc-linter",
"release notes: optim",
"ci-no-td"
] | 8 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145175
See #145101 for details. | true |
2,797,772,502 | PEP585 update - torch/onnx | aorenste | closed | [
"Merged",
"ciflow/trunk",
"release notes: onnx",
"topic: not user facing",
"fx"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145174
See #145101 for details.
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,797,730,083 | [BE]: Improve typing for torch/fx/_pytree.py and torch/utils/_pytree.py | Skylion007 | closed | [
"open source",
"better-engineering",
"Merged",
"ciflow/trunk",
"release notes: fx",
"fx"
] | 3 | COLLABORATOR | Improve type inference in _pytree.py utility functions
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,797,715,500 | [BE]: Update CUTLASS submodule to 3.7.0 | Skylion007 | closed | [
"open source",
"better-engineering",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 17 | COLLABORATOR | * This has a couple of new features, but mostly has a lot of bugfixes for the prior releases
* This is the last Hopper-focused release of CUTLASS before blackwell drops, so let's upgrade to it.
* Most of the remaining diff noise is copyright year updates on the CUTLASS submodule | true |
2,797,658,331 | torch/_prims/executor.py #TODO : caching | Andrwaa | closed | [] | 3 | NONE | ### 🚀 The feature, motivation and pitch
I'm working on #TODO : caching in torch/_prims/executor.py, and this is my idea to implement that functionality:
```
from typing import Any, Callable, Optional, TypeVar
from typing_extensions import ParamSpec, TypeVarTuple, Unpack
import hashlib
import pickle
import inspect
f... | true |
2,797,580,890 | CUDA initialization error with vLLM 0.5.4 and PyTorch 2.4.0+cu121 | TaoShuchang | open | [
"oncall: distributed"
] | 0 | NONE | ### 🐛 Describe the bug
CUDA initialization error in forked subprocesses when using **vLLM 0.5.4 with PyTorch 2.4.0+cu121**. The same code works with vLLM 0.5.0 and PyTorch 2.3.0+cu121, but fails with newer versions (vLLM 0.6.2 with PyTorch 2.5.1+cu121).
**Error Message:**
```
RuntimeError: Cannot re-initialize CUDA ... | true |
2,797,530,173 | Added weight to MSELoss Criterion | JacobGlennAyers | closed | [
"triaged",
"open source",
"Stale",
"release notes: nn",
"topic: improvements"
] | 4 | NONE | - Changed Inheritance of MSELoss from _Loss to _WeightedLoss
- Modified MSELoss to include weight parameter
- Removed TODO
- Added weight documentation to MSELoss Class
topic: enhancement
release notes: nn
I couldn't find this in any issues or under any existing PR Requests, I only found it by finding the TOD... | true |
2,797,476,080 | empty_cache does not work for CUDAPluggableAllocator + MemPool | youkaichao | open | [
"module: cuda",
"triaged"
] | 3 | COLLABORATOR | ### 🐛 Describe the bug
I'm trying to use `CUDAPluggableAllocator`, following https://pytorch.org/docs/stable/notes/cuda.html#using-custom-memory-allocators-for-cuda . However, it has a critical limitation, that `torch.cuda.memory.change_current_allocator` needs to be called before any allocation, and we cannot switch... | true |
2,797,406,816 | [BE]: Update NCCL submodule to 2.24.3 | tmm1 | closed | [
"triaged",
"open source",
"topic: not user facing"
] | 4 | CONTRIBUTOR | Update NCCL to the latest version
Last bump was in https://github.com/pytorch/pytorch/pull/124014
See upstream release notes here: https://docs.nvidia.com/deeplearning/nccl/release-notes/rel_2-24-3.html#rel_2-24-3
cc @Skylion007
| true |
2,797,269,721 | PEP585 update - torch/fx | aorenste | closed | [
"Merged",
"ciflow/trunk",
"release notes: fx",
"topic: not user facing",
"fx",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145166
See #145101 for details.
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,797,269,550 | PEP585 update - torch/export | aorenste | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"release notes: export",
"suppress-bc-linter"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145165
See #145101 for details. | true |
2,797,269,212 | PEP585 update - torch/distributed | aorenste | closed | [
"oncall: distributed",
"Merged",
"Reverted",
"ciflow/trunk",
"release notes: distributed (sharded)",
"topic: not user facing",
"suppress-bc-linter",
"ci-no-td"
] | 9 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145164
See #145101 for details.
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,797,269,037 | PEP585 update - torch/distributed/elastic torch/distributed/checkpoint | aorenste | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"suppress-bc-linter",
"release notes: distributed (torchelastic)"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145163
See #145101 for details.
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @LucasLLC @MeetVadakkanchery @mhorowitz @pradeepfn @ekr0 | true |
2,797,267,366 | PEP585 update - torch/distributed/fsdp | aorenste | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (fsdp)",
"topic: not user facing",
"ciflow/inductor",
"suppress-bc-linter"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145162
See #145101 for details.
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,797,260,843 | [mps/inductor] Introduce a metal approx for erf() and use it. | dcci | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 6 | MEMBER | Probably we can do better, but this is a start.
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhu... | true |
2,797,221,337 | [MPSInductor] Add `TrueDiv` and `Round[Int|Decimal]` | malfet | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145156
* __->__ #145160
That fixes `test_builtins_round_float_ndigits_neg` and `test_builtins_round`
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf22... | true |
2,797,219,150 | Enable bfloat16 testing on MacOS14+ | malfet | 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):
* #145160
* #145156
* __->__ #145159
* #145157
As Metal-3.1 supports this dtype
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchule... | true |
2,797,215,927 | Pytorch matmul for nested 4D tensors in jagged layout doesn't work | GabMartino | open | [
"triaged",
"module: nestedtensor"
] | 8 | NONE | ### 🐛 Describe the bug
Why this code doesn't work, even though is suggested to use the jagged layout:
```python
x = torch.nested.nested_tensor([torch.randn(4, 100, 16),
torch.randn(4, 150, 16)], layout=torch.jagged)
y = torch.nested.nested_tensor([torch.randn(4, 16, 100),
... | true |
2,797,171,719 | [MPSInductor][BE] NaN-propagating min/max to header | 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):
* #145160
* #145156
* #145159
* __->__ #145157
May be to be later reused from eager op as well
Also, didn't know that Metal already have type_traits
And use `metal::isunorderder(a, b)` instead of `metal::isnan(a + b)` is it is defined as func... | true |
2,797,171,696 | Make `inductor_utils.requires_gpu` accept MPS | malfet | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"keep-going"
] | 9 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145156
Not yet ready to setp HAS_GPU to true, but can unskip tests that require GPU
(Noticed while running test_mps_basics.py that `test_scalar_cpu_tensor_arg` is getting skipped)
- Replace `GPU_TYPE` with `self.device` in `test... | true |
2,797,123,821 | The latest PyTorch XPU wheel 2.7.0.dev20250117+xpu does not work on Windows | pbchekin | closed | [
"module: binaries",
"module: windows",
"triaged",
"module: xpu"
] | 10 | NONE | Steps:
```
# This installs 2.7.0.dev20250117+xpu
pip install torch --index-url https://download.pytorch.org/whl/nightly/xpu
python -c 'import torch;print(torch.__version__)'
```
Result:
```
OSError: [WinError 126] The specified module could not be found. Error loading "C:\.venv\lib\site-packages\torch\lib\shm.dll" or ... | true |
2,797,071,173 | Tweak schema_check to handle annotated builtin types | aorenste | closed | [
"Merged",
"ciflow/inductor",
"release notes: export"
] | 1 | CONTRIBUTOR | As of python 3.9 annotated lists can be written as `list[T]` and `List[T]` has been deprecated. However schema_check was converting `list[T]` to simply be `list`. This change teaches it to handle `list[T]` the same as `List[T]`.
A couple small drive-by changes I noticed as well:
- Path concatenation should use `os... | true |
2,797,067,669 | [BE]: Apply ruff PERF401 to torch | Skylion007 | open | [
"oncall: distributed",
"oncall: jit",
"open source",
"better-engineering",
"ciflow/trunk",
"release notes: quantization",
"fx",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"release notes: AO frontend"
] | 12 | COLLABORATOR | Applies PERF401 optimizations to torch.
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @EikanWang @jgong5 @wenzhe-nrv @sanchitintel @ezyang @SherlockNoMad @voznesenskym @penguinwu @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @... | true |
2,797,060,620 | [BE]: Simplify set add with set update | Skylion007 | closed | [
"open source",
"better-engineering",
"Merged",
"Reverted",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export",
"ci-no-td"
] | 13 | COLLABORATOR | Simplifies the set update slightly to be more readable and efficient. | true |
2,797,056,331 | Driver Allocated Memory grows unrestricted when using torch.unique on MPS device | BjoernBiltzinger | closed | [
"module: memory usage",
"triaged",
"module: mps"
] | 2 | NONE | ### 🐛 Describe the bug
When using `torch.unique` in a loop on the MPS backend, the memory allocated by the driver grows unrestricted. In my real application that leads to an `RuntimeError: MPS backend out of memory (MPS allocated: 24.00 MB, other allocations: 36.24 GB, max allowed: 36.27 GB)` error late in the trai... | true |
2,797,045,905 | [inductor] Simplify _inductor/utils.py slightly | rec | closed | [
"oncall: distributed",
"module: rocm",
"open source",
"better-engineering",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145150
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd @voznesenskym @penguinwu... | true |
2,797,045,870 | [inductor] Add type annotations to _inductor/utils.py | rec | closed | [
"module: inductor",
"ciflow/inductor"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145150
* __->__ #145149
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aak... | true |
2,797,010,678 | [BE][PYFMT] bump `ruff format` target version to py39: add parentheses around long `with`-statements | XuehaiPan | closed | [
"open source",
"ciflow/trunk",
"release notes: onnx",
"topic: not user facing",
"fx",
"module: dynamo",
"ciflow/inductor"
] | 10 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145606
* #144546
* #144569
* __->__ #145148
* #146509
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv @voznesenskym @penguinwu @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,796,955,392 | [BE][Easy] increase pip timeout for nightly tool: 15s -> 60s | XuehaiPan | open | [
"open source",
"Stale",
"topic: not user facing"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145147
| true |
2,796,951,812 | improve perf for layer_norm | ywq880611 | closed | [
"triaged",
"open source",
"Stale",
"release notes: cuda"
] | 2 | CONTRIBUTOR | Fixes #145145
Please see more details in the issue.
| true |
2,796,940,106 | [RFC] Improve performance for layer_norm op for cuda with revectorized | ywq880611 | open | [
"module: nn",
"module: cuda",
"triaged",
"topic: performance"
] | 4 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
I found there is big perf drop if the size of layer_norm's inside size is not multiple of 4, there is a micro test case:
```python
import torch
DEVICE=torch.device('cuda')
# Time cost for near 1024
for cnt in range(2040, 2050):
x = torch.randn(4096, cnt, device=DEVICE, dt... | true |
2,796,928,799 | Please add fp16 to MPS devices. | AimoneAndex | open | [
"needs reproduction",
"triaged",
"module: amp (automated mixed precision)",
"module: mps"
] | 2 | NONE | ### 🚀 The feature, motivation and pitch
I used torch==2.7 to train llama via huggingface transformers,but
Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [... | true |
2,796,906,847 | Bracket indexing not working | moghadas76 | open | [
"needs reproduction",
"triaged",
"module: advanced indexing"
] | 2 | NONE | ### 🐛 Describe the bug
Unsqueezing not working
```python
import torch
tn = torch.randn(6980, 1, 12, 16, 20)
tn[[1], :, :, :, :].shape # (1, 1, 12, 16, 20)
tn[[1], :, [11], :, :].shape # (1, 1, 16, 20)
```
### Versions
PyTorch version: N/A
Is debug build: N/A
CUDA used to build PyTorch: N/A
ROCM used to build P... | true |
2,796,906,161 | Release Pyotrch version 2.6.0 in pypi | farzanehnakhaee70 | closed | [
"module: cuda",
"oncall: releng"
] | 1 | NONE | ### 🚀 The feature, motivation and pitch
Currently in nvidia/pytorch:24.12, the version of torch which is used is torch 2.6.0. However, it is not yet published in pypi. [Here](https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel-24-12.html#rel-24-12) is theire release note.
When is possible to pub... | true |
2,796,787,112 | PEP585 update - torch/distributed/tensor | aorenste | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (ddp)",
"topic: not user facing",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145141
See #145101 for details.
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,796,786,880 | PEP585 update - torch/ao/quantization | aorenste | closed | [
"Merged",
"ciflow/trunk",
"release notes: quantization",
"topic: not user facing",
"fx",
"release notes: AO frontend"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145140
See #145101 for details.
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,796,786,632 | PEP585 update - torch/_functorch | aorenste | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor",
"release notes: AO frontend"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145139
See #145101 for details. | true |
2,796,786,294 | PEP585 update - torch/_export | aorenste | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor",
"release notes: export"
] | 9 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145138
* #145154
See #145101 for details. | true |
2,796,786,027 | PEP585 update - torch/_inductor/[_-i]* | aorenste | 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):
* __->__ #145137
See #145101 for details.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire ... | true |
2,796,600,843 | [inductor] [bug fix] Fix `conv` on processing uint | shaoyuyoung | open | [
"triaged",
"open source",
"ciflow/trunk",
"topic: not user facing",
"module: inductor"
] | 21 | CONTRIBUTOR | Fixes #144314
ut
```
pytest -s -v test/inductor/test_torchinductor.py -k test_conv_errors_with_uint
```
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauha... | true |
2,796,568,899 | DISABLED test_integers_t1_uint8_np_longlong (__main__.TestArrayFromScalar) | izaitsevfb | closed | [
"skipped"
] | 2 | CONTRIBUTOR | [Test was renamed, broken previously.](https://github.com/pytorch/pytorch/pull/133546#issuecomment-2599333158)
Platforms: linux
This test was disabled because it is failing on main branch ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22torch_np%2Fnumpy_tests%2Fcore%2Ftest_scalar_ctors.py%3A%3ATe... | true |
2,796,568,673 | DISABLED test_dtype_passthrough_dtype_complex128 (__main__.TestDLPack) | izaitsevfb | closed | [
"skipped"
] | 2 | CONTRIBUTOR | [Test was renamed, broken previously.](https://github.com/pytorch/pytorch/pull/133546#issuecomment-2599333158)
Platforms: linux
This test was disabled because it is failing on main branch ([recent examples](https://torch-ci.com/failure?failureCaptures=%5B%22torch_np%2Fnumpy_tests%2Fcore%2Ftest_dlpack.py%3A%3ATestDLPa... | true |
2,796,567,618 | [inductor] fix MA on poor gpu | shunting314 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #140249
* __->__ #145133
Found this bug when debugging a MA issue in CI that can not be repro-ed on devgpu.
On GPU with less than 68 SMs (like NVidia L4 used in CI), running torch compile in max-autotune mode may result in the followi... | true |
2,796,541,647 | [dynamo] Log guard latency | anijain2305 | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor",
"ci-no-td"
] | 9 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145132
* #145509
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,796,529,276 | [inductor] Fix ignored options for torch.compile | jansel | closed | [
"Merged",
"ciflow/trunk",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145131
#139833 broke `torch.compile(options=...)` so that many (all?) options passed in get completely ignored. @alexreinking pointed this out when `options={"cpu_backend":"halide"}` did nothing.
cc @voznesenskym @penguinwu @E... | true |
2,796,525,833 | [cuBLAS][cuBLASLt] Unify `cuBLASLt` workspaces with `cuBLAS` workspaces | eqy | closed | [
"module: cuda",
"triaged",
"module: cublas",
"open source",
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"ciflow/periodic",
"module: dynamo",
"ciflow/inductor",
"matrix multiplication",
"ciflow/rocm",
"ci-no-td"
] | 87 | COLLABORATOR | As `cuBLAS` workspaces are already per-stream, there shouldn't be kernel execution overlap with `cuBLASLt` kernels.
This PR reuses `cuBLAS` workspaces for `cuBLASLt` for the following benefits:
+ caching (`cuBLAS` workspaces were already cached, so now we get that for `cuBLASLt`)
+ "free" workspace size bump for... | true |
2,796,519,027 | [do not land] check unit tests in test_modules | FindHao | closed | [
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor",
"keep-going"
] | 7 | MEMBER | BE tests
| true |
2,796,512,793 | [executorch hash update] update the pinned executorch hash | pytorchupdatebot | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 81 | 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 |
2,796,511,696 | [do not land] check unit tests | FindHao | closed | [
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor",
"keep-going"
] | 7 | MEMBER | BE tests | true |
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