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 |
|---|---|---|---|---|---|---|---|---|
2,966,257,840 | [torchrun] Fix: Use Correctly Reachable Host Address in c10d Rendezvous | kuizhiqing | open | [
"oncall: distributed",
"triaged",
"open source",
"release notes: distributed (torchelastic)"
] | 2 | NONE | Fixes https://github.com/pytorch/pytorch/issues/150532
In this PR, we replace `socket.getfqdn()` with `socket.gethostbyname(socket.getfqdn())`, ensuring that an IP address is used instead of a potentially unresolvable hostname.
Anyway, using an IP is more reliable than a hostname in this case.
cc @H-Huang @a... | true |
2,966,233,840 | torchrun Hangs Due to Unresolvable Hostname in c10d Rendezvous | kuizhiqing | open | [
"oncall: distributed",
"triaged",
"module: c10d"
] | 1 | NONE | I'm managing a cluster with a large number of nodes, where each node's `hostname` is only resolvable locally on that node.
This causes my `torchrun` program to hang when using the `c10d` rendezvous backend:
```bash
export PET_NPROC_PER_NODE=8
export PET_NNODES=2
export PET_RDZV_ENDPOINT=<MASTER_IP>:36123
ex... | true |
2,965,892,385 | Intermittent SSL certificate expiry warnings for `download.pytorch.org` (load balancer?) | charlienewey-odin | open | [
"triaged"
] | 12 | NONE | ### 🐛 Describe the bug
This was tested at 10:00 GMT (11:00 London time). We're based in the UK (might be relevant if the issue is specific to e.g. UK geo).
On _some_ HTTPS requests to `download.pytorch.org`, the SSL certificate on the server is expired. This is intermittent so I imagine the problem is an expired cer... | true |
2,965,826,377 | DISABLED test_parity__foreach_abs_fastpath_inplace_cuda_float32 (__main__.TestForeachCUDA) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"module: mta"
] | 4 | 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_abs_fastpath_inplace_cuda_float32&suite=TestForeachCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/39821368287).
Over... | true |
2,965,824,087 | Remove redundant code in cuda/__init__.py | FFFrog | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 11 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #150529
As the title stated.
Follow: https://github.com/pytorch/pytorch/pull/147078
Fix issue: https://github.com/pytorch/pytorch/issues/150519 | true |
2,965,768,931 | Work on API Forwarding | kpouget | closed | [
"oncall: distributed",
"module: rocm",
"module: cpu",
"release notes: releng",
"fx",
"module: inductor",
"module: dynamo"
] | 3 | NONE | PR opened against the wrong repo :/ | true |
2,965,680,428 | Add BF16 SVE intrinsics | Ryo-not-rio | open | [
"module: cpu",
"open source",
"module: inductor",
"ciflow/inductor"
] | 2 | COLLABORATOR | ** DO NOT REVIEW **
Draft PR for a sqaushed version of https://github.com/pytorch/pytorch/pull/143666
| true |
2,965,637,848 | Consider context when tuning kernels for max-autotune to more accurately reflect the performance of real workloads | CaoE | open | [
"oncall: pt2",
"module: inductor",
"oncall: cpu inductor"
] | 2 | COLLABORATOR | ### 🚀 The feature, motivation and pitch
### Motivation
This request was initiated by https://github.com/pytorch/pytorch/pull/147368, which adds float16 support for CppMicroGemmAMX to get better performance for float16 templated gemm. We get improvements in micro-benchmarks with single linear, but we found regression... | true |
2,965,633,827 | [Do Not Review][WIP] Enable Mkldnn fusion for XPU. | etaf | open | [
"module: cpu",
"module: mkldnn",
"open source",
"ciflow/binaries_wheel",
"module: inductor",
"ciflow/inductor",
"ciflow/xpu",
"ciflow/linux-aarch64"
] | 2 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @jerryzh168 @gujinghui @PenghuiCheng @jianyuh @min-jean-cho @yanbing-j @Guobing-Chen @Xia-Weiwen @snadampal @voznesenskym @penguinwu @EikanWang @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @... | true |
2,965,576,593 | Fix CPU bitwise shifts for out-of-limit values in VSX-vec | Flamefire | open | [
"module: cpu",
"triaged",
"open source"
] | 2 | COLLABORATOR | Similar to #96659 this implements the conditionals handling the out-of-limit values in the shift amounts (rhs) for the vectorized VSX code using the same logic as the scalar code.
Fixes #109777
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 | true |
2,965,527,857 | [Question] How to load extremely large model checkpoint for FSDP wrapped model? | zigzagcai | open | [
"oncall: distributed",
"triaged",
"module: fsdp"
] | 2 | NONE | Hello,
We tried to train DeepSeek v3 model with the parallelism of `FSDP+Expert Parallel`. It works well with random initialized weights. But if we want do SFT or RLHF, we need to load the 670B model weights from https://huggingface.co/deepseek-ai/DeepSeek-V3-0324/tree/main
So, does PyTorch has ways to load extremely... | true |
2,965,451,384 | [AOTInductor] Fix autotuning code's codegen | muchulee8 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Summary:
Codegen used to generate tmp_arg_{index} as temporary args, and index is the position of the caller.
We changed the logic of codegen such that we can reuse previous generated samples, and only delete after arg is no longer used. In this case, we need to make {index} unique, since different functions could reus... | true |
2,965,443,235 | [ROCm][Windows] Include AOTriton dependent sources in Windows build | ikalinic | closed | [
"module: rocm",
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/rocm"
] | 13 | CONTRIBUTOR | Includes ATen native transformers hipified sources in ROCm+Windows build. This was removed due to Trinton not being available on Windows, but this causes further linker errors. Setting `USE_FLASH_ATTENTION=0` and `USE_MEM_EFF_ATTENTION=0` during the build will mitigate the missing headers, but also not cause any linker... | true |
2,965,408,110 | [XPU] Fix XPU unit test on Windows | LuFinch | closed | [
"open source",
"Merged",
"module: testing",
"ciflow/trunk",
"topic: not user facing",
"keep-going",
"ciflow/xpu",
"module: xpu"
] | 14 | CONTRIBUTOR | This PR is to resolve issue reported in https://github.com/intel/torch-xpu-ops/issues/1478
There are two cases failing in our Windows CI enabling.
- **test_xpu.py::TestXpuXPU::test_lazy_init_xpu** Needs to add `if __name__ == '__main__':` for Windows when using multiprocess. Refer to https://stackoverflow.com/a/... | true |
2,965,375,858 | Potential redundant code | MisterLin1995 | open | [
"module: cuda",
"triaged",
"better-engineering"
] | 1 | NONE | These lines looks redundant to me since we already get the handler through the previous line.
https://github.com/pytorch/pytorch/blob/main/torch/cuda/__init__.py#L1214
https://github.com/pytorch/pytorch/blob/main/torch/cuda/__init__.py#L1223:L1224
https://github.com/pytorch/pytorch/blob/main/torch/cuda/__init__.py#L12... | true |
2,965,366,942 | fix bug in logging code | exclamaforte | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 13 | CONTRIBUTOR | Fixes https://github.com/pytorch/pytorch/issues/150379
```python
>>> key = "aten._int_mm_1_2_3"
>>> m, n, k = key.split("_")[-3:]
>>> m, n, k
('1', '2', '3')
>>> name = "_".join(key.split("_")[:-3])
>>> name
'aten._int_mm'
```
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zh... | true |
2,965,267,880 | Pinned memory doubles memory usage for tensors slightly over 128MB | scott306lr | open | [
"module: cuda",
"module: memory usage",
"triaged"
] | 3 | NONE | ### 🐛 Describe the bug
This issue appears related to #95823 but on smaller tensors.
Although #95823 is closed the underlying problem persists.
PyTorch seems to allocate memory up to the next power of two (256MB) when pinning tensors slightly above 128MB in size.
This causes nearly double the expected memory usage.... | true |
2,965,197,092 | OLMo in-loop evals change with `torch.compile()` in 2.7.0 | dirkgr | closed | [
"high priority",
"triaged",
"oncall: pt2"
] | 11 | CONTRIBUTOR | ### 🐛 Describe the bug
OLMo-core is the LLM trainer used for the OLMo series of models. It features in-loop evals that compute perplexity on held-out validation sets. With torch 2.7.0, these evals start the same as with torch 2.6.0, but start diverging at some point.
<img width="420" alt="Image" src="https://github.... | true |
2,965,193,552 | [export] Fix deserialization issue | angelayi | closed | [
"Merged",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export"
] | 4 | CONTRIBUTOR | An internal model was serialized in 2023, and is now breaking while loading with the following error:
```
File "<eval_with_key>.1675", line 4
def forward(self, arg1163_1, arg1164_1, , arg1166_1, , arg1168_1, arg1169_1, arg1170_1, , arg1172_1, arg1173_1, arg1174_1, arg1175_1, arg1176_1, arg1177_1, arg1178_1, ar... | true |
2,965,140,419 | Conv2D performance regression | jiqing-feng | closed | [
"triaged",
"topic: performance",
"intel"
] | 6 | NONE | ### 🐛 Describe the bug
The Conv2D is too slow.
CMD: numactl -C 0-31 -m 0 python test_conv.py
```python
import time
import torch
conv_layer = torch.nn.Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), dtype=torch.float16)
input_tensor = torch.rand([16, 256, 512, 512]).to(conv_layer.weight.dtype) -... | true |
2,965,137,329 | [c10d] Add logging for desync debug report | fduwjj | closed | [
"oncall: distributed",
"fb-exported",
"Merged",
"ciflow/trunk",
"release notes: distributed (c10d)"
] | 7 | CONTRIBUTOR | Summary: We want to add a logging to first understand what is the distribution of desync debug report.
Test Plan: Test with logger staging
Differential Revision: D72249281
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @wz337 @wconstab @d4l3k @c-p-i-o | true |
2,965,133,326 | [BE] Fix triton windows build | chuanqi129 | closed | [
"open source",
"Merged",
"topic: not user facing"
] | 5 | COLLABORATOR | Fixes #150480 | true |
2,965,122,393 | Inductor respects exact strides on custom ops by default | zou3519 | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"module: inductor",
"ciflow/inductor",
"release notes: inductor",
"ci-no-td"
] | 9 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #150511
* #148104
If a tag is not specified on a custom operator, then inductor will
assume that it needs exact strides.
Test Plan:
- tests + CI
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe ... | true |
2,965,099,565 | DISABLED test_parity__foreach_abs_fastpath_inplace_cuda_float16 (__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_abs_fastpath_inplace_cuda_float16&suite=TestForeachCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/39806742309).... | true |
2,965,099,518 | DISABLED test_foreach_l2_large_value_input__foreach_norm_cuda_float16 (__main__.TestForeachCUDA) | pytorch-bot[bot] | open | [
"triaged",
"module: flaky-tests",
"skipped",
"module: mta"
] | 3 | 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_l2_large_value_input__foreach_norm_cuda_float16&suite=TestForeachCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/3981050... | true |
2,965,095,245 | caffe2: Fix lint errors in native/xnnpack/Linear.cpp | EricGriffith | closed | [
"triaged",
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 9 | CONTRIBUTOR | Summary: See title
Test Plan: Sandcastle
Differential Revision: D72275403
| true |
2,965,094,979 | caffe2: Fix lint errors in native/TensorShape.cpp | EricGriffith | open | [
"fb-exported"
] | 7 | CONTRIBUTOR | Summary: See title
Test Plan: Sandcastle
Differential Revision: D72275198
| true |
2,965,094,244 | caffe2: Fix lint errors in native/TensorAdvancedIndexing.cpp | EricGriffith | open | [
"fb-exported",
"topic: not user facing"
] | 5 | CONTRIBUTOR | Summary: See title
Test Plan: Sandcastle
Differential Revision: D72274536
| true |
2,965,093,901 | caffe2: Fix lint errors in native/RNN.cpp | EricGriffith | open | [
"fb-exported"
] | 7 | CONTRIBUTOR | Summary: See title
Test Plan: Sandcastle
Differential Revision: D72273826
| true |
2,965,093,577 | caffe2: Fix lint errors in native/quantized/TensorAdvancedIndexing | EricGriffith | open | [
"fb-exported",
"release notes: quantization"
] | 7 | CONTRIBUTOR | Summary: See title
Test Plan: Sandcastle
Differential Revision: D72273049
| true |
2,965,093,253 | caffe2: Fix lint errors in native/int4mm_kernel | EricGriffith | open | [
"module: cpu",
"fb-exported"
] | 6 | CONTRIBUTOR | Summary: See title
Test Plan: Sandcastle
Differential Revision: D72218816
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 | true |
2,965,058,558 | Enable weekly test for operator benchmark | LifengWang | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/op-benchmark"
] | 3 | CONTRIBUTOR | To regularly track the performance of the operator benchmark, enable the weekly test.
Hi, @huydhn, as you mentioned in https://github.com/pytorch/pytorch/pull/143733#issuecomment-2578317520, we could integrate the performance data from the weekly test into the OSS benchmark database for the dashboard. | true |
2,964,948,179 | caffe2: Fix lint errors in runtime/register_prim_ops.cpp | EricGriffith | open | [
"oncall: jit",
"fb-exported",
"release notes: jit"
] | 6 | CONTRIBUTOR | Summary: See title
Test Plan: Sandcastle
Differential Revision: D72276588
cc @EikanWang @jgong5 @wenzhe-nrv @sanchitintel | true |
2,964,944,307 | Revert "[fx] Move map_aggregate to C++ (#148243)" | clee2000 | closed | [
"ciflow/trunk",
"release notes: fx",
"fx",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #150500
* #150499
* #150498
* #150497
* #150496
Something in this stack is causes a memory leak, some context can be found here in #150059. My guess is 150498
It is also causing issues in internal [S503111](https://www.inte... | true |
2,964,943,884 | Revert "[fx] Move Node._update_args_kwargs to C++ (#148260)" | clee2000 | closed | [
"ciflow/trunk",
"release notes: fx",
"fx",
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150500
* __->__ #150499
* #150498
* #150497
* #150496
This reverts commit bf752c36da08871d76a66fd52ad09f87e66fc770.
Differential Revision: [D72289029](https://our.internmc.facebook.com/intern/diff/D72289029)
cc @ezyang @SherlockNoMad @Eik... | true |
2,964,925,173 | Revert "[fx] Move Node._prepend/Node._remove_from_list to C++ (#148261)" | clee2000 | closed | [
"ciflow/trunk",
"release notes: fx",
"fx",
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150500
* #150499
* __->__ #150498
* #150497
* #150496
This reverts commit 5d4e7d58b42623a9024a84f0050967ff0318dcdb.
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv @voznesenskym @penguinwu @Guobing-Chen @XiaobingSuper @zhuhao... | true |
2,964,924,890 | Revert "[fx] Optimizations for node name generation (#148288)" | clee2000 | closed | [
"ciflow/trunk",
"release notes: fx",
"fx",
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150500
* #150499
* #150498
* __->__ #150497
* #150496
This reverts commit 8f858e226ba81fde41d39aa34f1fd4cb4a4ecc51.
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv @voznesenskym @penguinwu @Guobing-Chen @XiaobingSuper @zhuhaozhe @... | true |
2,964,924,803 | Revert "[fx] Optimize TracerBase.create_arg and Graph._gen_python_code (#148292)" | clee2000 | closed | [
"ciflow/trunk",
"release notes: fx",
"fx",
"module: dynamo",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150500
* #150499
* #150498
* #150497
* __->__ #150496
This reverts commit a60b4ed6236fea46bd41c6410204612f85c37818.
Differential Revision: [D72289032](https://our.internmc.facebook.com/intern/diff/D72289032)
cc @ezyang @SherlockNoMad @Eik... | true |
2,964,919,127 | Fix _del_library | zou3519 | closed | [
"Merged",
"topic: not user facing"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150511
* #148104
* __->__ #150495
On library deletion, we need to clear fx's schema cache.
Test Plan:
- top PR in the stack, I don't have a good test case for this PR. | true |
2,964,890,747 | [inductor][autotune cache] add torch_key() to configs hash | davidberard98 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"module: inductor",
"ciflow/inductor",
"release notes: inductor"
] | 20 | CONTRIBUTOR | Summary:
**Context**: https://github.com/pytorch/pytorch/pull/150122 (D71982587 - let's call this "the WS diff") introduces "bc/fc-breaking" cache changes.
In particular, it introduces `num_consumer_groups` and adds it to the cached config. In versions of torch that include the WS diff, `num_consumer_groups` is tre... | true |
2,964,836,843 | [DTensor] add _explicit_order_placements util | wconstab | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 10 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150887
* #150862
* #150650
* #150490
* __->__ #150493
The util converts a list of placements in the traditional DTensor format
(e.g. [_StridedShard(0), Shard(0)], where list position is mesh_dim and sharding
is always applied left-to-right ... | true |
2,964,827,662 | Expired SSL breaking CI builds | harshalparekh6 | closed | [
"module: ci",
"ci: sev"
] | 5 | NONE | The SSL certificate is expired causing this error:
```
Could not fetch URL https://download.pytorch.org/whl/cpu/torchvision/: There was a problem confirming the ssl certificate: HTTPSConnectionPool(host='download.pytorch.org', port=443): Max retries exceeded with url: /whl/cpu/torchvision/ (Caused by SSLError(SSLCertVe... | true |
2,964,826,276 | Security certificate expired on https://download.pytorch.org/whl/ | djgagne | closed | [] | 7 | NONE | I have a CI pipeline that depends on the Linux CPU version of PyTorch and downloads from https://download.pytorch.org/whl/cpu. The CI script failed, so I visited the wheel site and discovered that the site's RSA security certificate Expired: Tuesday, April 1, 2025 at 5:59:59 PM Mountain Daylight Time. When will the cer... | true |
2,964,795,100 | [DTensor] StridedShard support uneven sharding | wconstab | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"release notes: distributed (fsdp)",
"ciflow/inductor",
"release notes: distributed (dtensor)",
"release notes: distributed (checkpoint)",
"merging"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150887
* #150862
* #150650
* __->__ #150490
This enables using FSDP+TP on parameters with dimensions that aren't
evenly divisible by the DP/TP mesh sizes.
- this may not support all possible combinations of strided shardings
and sha... | true |
2,964,780,337 | [Inductor] Refactor accuracy check to `allclose_many` function | blaine-rister | closed | [
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | **Note: This seems like a duplicate of `torch._dynamo.utils.same`. I will likely close this PR in favor of that.**
Preparatory refactor for https://github.com/pytorch/pytorch/pull/146942.
# Feature
This is a small change to refactor an existing test utility into a common library, so it can be reused across tes... | true |
2,964,779,061 | Lightweight CUDAGraph backend | BoyuanFeng | open | [
"triaged",
"module: cuda graphs",
"oncall: pt2",
"module: inductor",
"vllm-compile"
] | 2 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
There might be a large runtime overhead from TorchDyanmo Cache Lookup and cudagraph tree runtime checks. This overhead is small when the computation graph is large. However, it becomes noticeable when the computation graph is small.
In one example, the breakdown is
1) Other ... | true |
2,964,766,992 | Expose symbols on macos in the xplat pytorch stack | stepanhruda | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 11 | CONTRIBUTOR | Summary:
X-link: https://github.com/pytorch/executorch/pull/9819
Had to revert D71321310 because it affected way too many targets and build sizes.
These changes should expose just enough symbols to be buildable in arvr mode on macOS. Could potentially make narrow it down even more by avoiding eg `get_pt_compiler_flag... | true |
2,964,766,244 | [invoke_subgraph] Filter out grad_out where fw_out requires_grad is False | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #150486
* #150450
* #150082
I am not sure if this is the right way. | true |
2,964,762,336 | [inductor][test] Disable Triton GEMM backend tests for SM89 | henrylhtsang | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 11 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #148622
* __->__ #150485
Motivation: To deprecate a silent fallback behavior https://github.com/pytorch/pytorch/issues/150390
Problem: On SM89, Trition GEMM backend isn't working. This seems to be a pre-existing issue. I don't have acces... | true |
2,964,723,206 | API to specify cudagraph sizes | BoyuanFeng | open | [
"triaged",
"module: cuda graphs",
"oncall: pt2",
"module: inductor",
"vllm-compile"
] | 0 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
Currently PT2 cudagraph supports automated dynamic shapes. Specifically, we caches on symint function args and record a new cudagraph whenever we see a new dynamic shapes. When there are many dynamic shapes, we keep recording new cudagraphs until reaching certain threshold (e.g... | true |
2,964,722,314 | [dynamic shapes] guard_or_false for computeStorageNbytes | pianpwk | open | [
"module: dynamo",
"ciflow/inductor",
"release notes: export"
] | 6 | CONTRIBUTOR | removes fast path for computing storage, fixes some adjacent tests
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,964,713,890 | API to specify static input indices for cudagraph | BoyuanFeng | open | [
"triaged",
"module: cuda graphs",
"oncall: pt2",
"module: inductor",
"vllm-compile"
] | 2 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
Currently we rely on AOTAutograd to identify static input indices. However, if the graph module is not captured by dynamo, we don’t have static input indices anymore ([code](https://github.com/pytorch/pytorch/blob/main/torch/_functorch/aot_autograd.py#L1013-L1015)). This leads ... | true |
2,964,710,303 | [dynamic shapes] guard_or_false rewrite for scatter, gather, index metas | pianpwk | open | [
"module: dynamo",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Fixes #ISSUE_NUMBER
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,964,707,750 | [XPU] Triton Windows build failing release 2.7 | atalman | closed | [
"module: binaries",
"topic: binaries",
"module: xpu"
] | 0 | CONTRIBUTOR | ### 🐛 Describe the bug
Observing following failure:
https://github.com/pytorch/pytorch/actions/runs/14203257536/job/39804771702
Error: Filename longer than 260 characters:
```
2025-04-01T21:28:58.8631176Z ninja: error: Stat(C:/Users/runneruser/AppData/Local/Temp/tmpzgzp7pwt/triton/python/build/cmake.win-amd64-cpytho... | true |
2,964,704,309 | [MPS] tril op not handling infs correctly | pytorchbot | closed | [
"open source",
"release notes: mps",
"ciflow/mps"
] | 1 | COLLABORATOR | Fixes #149813
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen | true |
2,964,681,990 | [CUDAGraph] support meta tensor | BoyuanFeng | closed | [
"Merged",
"module: cuda graphs",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Previously, cudagraph is skipped if the graph contains any meta tensor. However, we should not skip since meta tensor does not have actual computation. This PR fixes the issue.
### Example
```python
import torch
def foobar(x, y):
return x * 2, y * 3
foo_c = torch.compile(mode="reduce-overhead")(foobar... | true |
2,964,681,518 | [dynamo] improve graph break message causing skipped frame | williamwen42 | open | [
"triaged",
"oncall: pt2",
"module: dynamo",
"module: compile ux"
] | 0 | MEMBER | Example:
```python
import torch
class CtxMgr:
def __enter__(self):
return self
def __exit__(self, exc_type, exc_value, traceback):
pass
def fn(x):
with CtxMgr():
assert x is None
torch.compile(fn, backend="eager")(torch.randn(3))
```
Logs:
```
Graph break: skip: from user cod... | true |
2,964,678,385 | Better test coverage on _inductor/scheduler.py | exclamaforte | open | [
"triaged",
"better-engineering",
"oncall: pt2",
"module: inductor"
] | 0 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
I noticed that we have almost no direct tests of the classes in scheduler.py. It's not clear how much of an issue this is as the scheduler is covered by almost every other inductor test. Ideally, we'd get some coverage stats and then add tests to cover the gaps:
- [ ] get cove... | true |
2,964,674,925 | expect fail scan test in sigmoid | ydwu4 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | CONTRIBUTOR | Summary: as titled.
Test Plan: see modified test.
Differential Revision: D72271976
| true |
2,964,674,616 | [dynamic shapes] rewrite slice_forward decomp with guard_or_false | pianpwk | open | [
"ciflow/inductor",
"release notes: export"
] | 1 | CONTRIBUTOR | Uses guard_or_false in place of size-oblivious to assume if not already known that the start/end indices are in-bounds.
Adds torch._checks for this, checking `start_val >= 0, end_val <= sizes[dim], start_val >= end_val`, which helps guarantee that the output size at runtime matches the symbolic expression in `end_va... | true |
2,964,674,274 | [ROCm] code cleanup of architecture checks | apakbin | closed | [
"module: rocm",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/rocm"
] | 7 | CONTRIBUTOR | This PR replaces several calls to `at::cuda::getCurrentDeviceProperties()->gcnArchName` and `at::cuda::getDeviceProperties(device_index)->gcnArchName` when checking to see if the GPU architecture is in a certain list.
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiaya... | true |
2,964,671,453 | torch.library.custom_op doesn't handle 1-element tuples returns | zou3519 | open | [
"triaged",
"module: custom-operators",
"oncall: pt2",
"module: pt2-dispatcher",
"internal ramp-up task"
] | 1 | CONTRIBUTOR | ```
import torch
@torch.library.custom_op("mylib::add", mutates_args=())
def add(x: torch.Tensor, y: torch.Tensor) -> tuple[torch.Tensor]:
return (x.clone(),)
x = torch.randn(3)
ret = add(x, x)
```
gives:
```
yset, *args, **kwargs)
720 def redispatch(self, /, keyset, *args, **kwargs):
--> 721 return self.... | true |
2,964,664,187 | [dynamo] emit only 1 graph break message on unrecoverable data-dependent assert fail | williamwen42 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #150471
Addresses https://fb.workplace.com/groups/1075192433118967/permalink/1625299684774903/
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kad... | true |
2,964,649,000 | [pytorch][triton] Allow warp spec for FlexAttention kernel | mandroid6 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 13 | CONTRIBUTOR | Summary:
Given inductor support for warp-specialization for `TritonTemplateKernel`, this change adds:
- num_consumer_groups
- num_buffers_warp_spec
to the flexattention template generated by inductor in `torch.compile`.
NOTE: Currently default config doesn't enable warp-spec and needs explicit args for num_con... | true |
2,964,640,394 | [torchrec] update local_shards_wrapper to latest version | iamzainhuda | closed | [
"oncall: distributed",
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/periodic",
"ciflow/inductor"
] | 11 | CONTRIBUTOR | Summary: Adding new ops, support for empty shards, and fixed initializations for downstream checkpointing.
Test Plan: buck2 run 'fbcode//mode/dev-nosan' fbcode//torchrec/distributed/tests:test_shards_wrapper
Differential Revision: D72271275
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4... | true |
2,964,634,759 | DISABLED test_parity__foreach_abs_fastpath_inplace_cuda_bool (__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_abs_fastpath_inplace_cuda_bool&suite=TestForeachCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/39794859365).
... | true |
2,964,634,694 | DISABLED test_foreach_l2_large_value_input__foreach_norm_cuda_bfloat16 (__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_foreach_l2_large_value_input__foreach_norm_cuda_bfloat16&suite=TestForeachCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/3979... | true |
2,964,619,998 | Add some CPython tests to dynamo | guilhermeleobas | open | [
"open source",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 7 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #150466
* #147990
* #146506
* #146501
* #146500
CPython tests included:
* test_baseexception.py
* test_cmath.py
* test_complex.py
* test_contextlib.py
* test_dict.py
* test_exceptions.py
* test_float.py
* test_generators.py
* test_gen... | true |
2,964,606,785 | `torch._dynamo.nonstrict_trace` has confusing user code stacktrace | StrongerXi | open | [
"triaged",
"oncall: pt2",
"module: dynamo"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
Repro:
```python
import torch
@torch._dynamo.nonstrict_trace
def f(x, items):
it = iter(items)
return next(it), x.sin()
opt_f = torch.compile(f, backend="eager", fullgraph=True)
x = torch.randn(3)
dct = {'a': 3, 'b': 3}
ref = f(x, dct.items())
print(ref)
res = opt_f(x, dct.items())
... | true |
2,964,577,373 | [BE] Do not allow PyTorch codebase to use `c10::optional` | malfet | closed | [
"oncall: distributed",
"Merged",
"Reverted",
"topic: not user facing",
"ciflow/mps",
"ci-no-td"
] | 14 | CONTRIBUTOR | Extensions can still rely on it, and we should decorate it with deprecated, but it is a C++20 feature.
XPU still uses it, so exclude XPU builds until https://github.com/intel/torch-xpu-ops/pull/1615 is merged
Test plan:
- https://github.com/pytorch/pytorch/pull/150464/commits/0def9b4acc81f9bcb032f57f8c606a712345... | true |
2,964,529,349 | [ROCm][TunableOp] Fix UT race condition and reduce UT duration. | naromero77amd | closed | [
"module: rocm",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/rocm",
"ciflow/rocm-mi300"
] | 3 | COLLABORATOR | This PR fixes two race conditions that occur when UT tests are run:
- In a particular order within a single shard.
- Concurrently in multiple shards. Each test now gets a unique filename that depends on the test name.
There were two other minor improvements to the UTs:
- matmul_offline_mgpu could occasionally f... | true |
2,964,477,866 | enable torch.compile for torch._scaled_mm nvfp4 recipe | vkuzo | closed | [
"Merged",
"ciflow/trunk",
"release notes: fx",
"topic: improvements",
"fx"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #150462
Summary:
Updates the meta registration for `torch._scaled_mm` to work for the
nvfp4 recipe.
Test Plan:
```bash
pytest test/test_matmul_cuda.py -s -k test_blockwise_nvfp4
```
Reviewers:
Subscribers:
Tasks:
Tags:
cc @ezy... | true |
2,964,472,635 | [release] Make pytorch source distribution package respect pep-0517 | atalman | open | [
"module: binaries",
"triaged",
"topic: binaries"
] | 2 | CONTRIBUTOR | ### 🐛 Describe the bug
I would like to make modifications to Source Distribution package to respect https://peps.python.org/pep-0517/
Our source packaging was initially introduced by https://github.com/pytorch/pytorch/pull/63022
and have not changed since then.
I would like to modify create-release yml to build sdis... | true |
2,964,426,151 | [Cherry-pick] Make PyTorch buildable with cmake-4 | malfet | closed | [
"module: cpu",
"ciflow/binaries",
"release notes: quantization",
"release notes: releng"
] | 1 | CONTRIBUTOR | This cherry-picks following two PRs into release/2.7 branch
- **[Cmake] Make PyTorch buildable by CMake-4.x (#150203)**
- **Make PyTorch buildable by CMake-4.x on s390x (#150294)**
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 | true |
2,964,418,981 | [test] testing binary builds for 150226 | clee2000 | closed | [
"ciflow/binaries",
"topic: not user facing"
] | 1 | CONTRIBUTOR | testing binary builds for https://github.com/pytorch/pytorch/pull/150226 | true |
2,964,407,696 | [Inductor] Refactor wrapper codegen to use Wrapper IR. | blaine-rister | closed | [
"Merged",
"Reverted",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 17 | CONTRIBUTOR | Preparatory refactor for https://github.com/pytorch/pytorch/pull/146942.
# Feature
This PR refactors the existing wrapper codegen into `WrapperLine` subclasses, extending the existing Memory Planning IR into a fully-fledged Wrapper IR. See the diagram below.
![wrapper_ir](https://github.com/user-attachments/a... | true |
2,964,402,519 | [MPSInductor] Add `store_reduce` method | 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):
* __->__ #150457
* #150452
That restrict the store operation to 0th thread, which should be much better, shouldn't it
(Though I don't observe it in the benchmark)
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zh... | true |
2,964,392,667 | [dynamic shapes] add sym_and, sym_or | pianpwk | closed | [
"Merged",
"ciflow/trunk",
"release notes: fx",
"fx",
"ciflow/inductor"
] | 9 | CONTRIBUTOR | This has been pretty helpful for the size-oblivious rewrite. Wanted the variadic args version to avoid `sym_or(a, sym_or(b, sym_or(c, d)))` in favor of `sym_or(a, b, c, d)`. Happy to change this to ban the 1-arg version.
This is better than plain and/or because the whole symbolic expression gets preserved, and if we... | true |
2,964,389,111 | [dynamic shapes] oblivious rewrite for meta_select | pianpwk | open | [
"release notes: fx",
"fx",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Uses guard_or_true in place of size-oblivious to assume if not already known, that the index is in-bounds.
Tests to check runtime asserts for out-of-bounds indexing
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv | true |
2,964,380,841 | torch.compile on MPS: error running compiled RMSNorm | manuelcandales | open | [
"triaged",
"module: mps",
"oncall: pt2",
"module: inductor"
] | 1 | CONTRIBUTOR | ### 🐛 Describe the bug
torch.compile on MPS generates syntactically incorrect shader for RMSNorm
```python
import torch
model = torch.compile(torch.nn.RMSNorm(2048, device="mps"))
x = torch.randn(2048, device="mps")
y = model(x)
```
Error:
```
Traceback (most recent call last):
File "/Users/mcandales/github/expe... | true |
2,964,365,573 | Proactively remove CompiledTritonKernels before loading from cache/starting inductor compile | jamesjwu | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #150453
We'll still running into this issue intermittently and it's hard to debug; so I thought a more aggressive cache clear strategy may fix it as a stopgap until we can Statically launch cuda kernels and avoid some of this stuff
D... | true |
2,964,352,149 | [MPS][Testing] Benchmark reduction ops | malfet | closed | [
"Merged",
"topic: not user facing",
"ciflow/mps"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150457
* __->__ #150452
That compares eager vs compile
On my M4Pro mini I'm getting the following now
```
[--------------------------------------------------------------------------------------------- --------------------------------------... | true |
2,964,349,364 | [ROCm] Build Pytorch extensions with amdclang++ | akashveramd | closed | [
"module: rocm",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/rocm"
] | 11 | CONTRIBUTOR | Here are the following modifications made to cpp_extension.py- 1) Changed compiler flag to use --version.
2) Added a feature to convert alpha-numeric string to numeric string for the version string returned by compiler. This was the source of error as the parser was failing on parsing alpha-numeric version string.
... | true |
2,964,342,317 | [invoke_subgraph] Do not cache fake tensors for AOTDispatcher first pass | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150486
* __->__ #150450
* #150082
| true |
2,964,339,210 | [2.7 RC] [Intel GPU] fused optimizers use FP64 internally which fails on A770 | aleqs | closed | [
"triaged",
"module: xpu"
] | 4 | NONE | ### 🐛 Describe the bug
torch.optim.SGD/Adam/AdamW all fail when step() is invoked on A770 whenever fused is set to True. Below is the typical exception:
> ...
> File "/home/xxx/dev/nn/train_util.py", line 825, in train_model
> opt.step()
> File "/home/xxx/anaconda3/lib/python3.12/site-packages/torch/optim/op... | true |
2,964,325,535 | [Windows][inductor] fix blank space break windows file path | pytorchbot | closed | [
"open source",
"module: inductor",
"ciflow/inductor"
] | 1 | COLLABORATOR | Fixes #149310
From origin error message:
```cmd
Command:
cl /I C:/Program Files/Python310/Include /I c:/code/.env/lib/site-packages/torch/include /I c:/code/.env/lib/site-packages/torch/include/torch/csrc/api/include /I c:/code/.env/lib/site-packages/torch/include/TH /I c:/code/.env/lib/site-packages/torch/includ... | true |
2,964,321,011 | [inductor] Fix inductor windows linker error | pytorchbot | closed | [
"open source",
"module: inductor",
"ciflow/inductor"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #150256
Fixes #149889
cc @malfet @seemethere @peterjc123 @mszhanyi @skyline75489 @nbcsm @iremyux @Blackhex @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @c... | true |
2,964,320,594 | [ONNX] [Dynamo] std.dim needs implementation | MilesV64 | open | [
"module: onnx",
"triaged",
"OSS contribution wanted"
] | 4 | NONE | ### 🐛 Describe the bug
No decomposition for torch.std.dim
```
<class 'torch.onnx._internal.exporter._errors.DispatchError'>: No ONNX function found for <OpOverload(op='prims.broadcast_in_dim', overload='default')>. Failure message: No decompositions registered for the real-valued input
⬆️
<class 'torch.onnx._interna... | true |
2,964,296,143 | caffe2: Fix lint errors in FlashAttentionKernel | EricGriffith | open | [
"module: cpu",
"fb-exported",
"release notes: quantization"
] | 10 | CONTRIBUTOR | Summary: See title
Test Plan: Sandcastle
Differential Revision: D72218753
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 | true |
2,964,294,678 | DISABLED test_remote_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_True_use_static_cuda_launcher_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_remote_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_True_use_static_cuda_launcher_False&suite=TestFxGraphCache&limit=100) and the most recent trunk [workflow log... | true |
2,964,288,657 | caffe2: Fix lint errors in native/CPUFallback.cpp | EricGriffith | open | [
"module: cpu",
"fb-exported",
"release notes: quantization"
] | 9 | CONTRIBUTOR | Summary: See title
Test Plan: Sandcastle
Differential Revision: D72218921
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 | true |
2,964,261,773 | cuda.h not found error when missing local CTK | tinglvv | open | [
"module: cuda",
"oncall: releng",
"triaged",
"module: aotinductor"
] | 7 | COLLABORATOR | ### 🐛 Describe the bug
Seeing below error with AOT inductor when testing 2.6.0 RC wheel in a plain docker without local CTK.
Opening the issue for tracking the fix. In the case of such error, we should give a clear error message suggesting the missing file is related to CTK installation.
Or should we add the file w... | true |
2,964,255,377 | [Inductor] Reland Merge Triton ScaledMM as epilogue to MM template #150045 | PaulZhang12 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ci-no-td"
] | 6 | CONTRIBUTOR | Merges https://github.com/pytorch/pytorch/pull/150438 and https://github.com/pytorch/pytorch/pull/150045. https://github.com/pytorch/pytorch/pull/150045 was already landed, but did not include a change that makes it unable to land internally.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper... | true |
2,964,215,993 | [dynamo] add dynamo disable reasons to codebase | williamwen42 | closed | [
"oncall: distributed",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 6 | MEMBER | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #150440
* #150341
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv @voznesenskym @penguinwu @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng ... | true |
2,964,208,537 | Update PyTorchStreamReader API to take cpu allocator override | huxintong | closed | [
"caffe2",
"triaged",
"open source",
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 10 | CONTRIBUTOR | Summary: Add allocator param in getRecord
Test Plan:
newly added UT
```
buck test caffe2/caffe2/serialize:inline_container_test
```
Differential Revision: D72252585
| true |
2,964,193,676 | Fix scaled_mm template migration missing endif block | PaulZhang12 | closed | [
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #150438
* #150437
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov | true |
2,964,193,163 | Consolidate mm_scaled into mm template | PaulZhang12 | closed | [
"module: inductor",
"ciflow/inductor"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #150438
* __->__ #150437
| true |
2,964,173,051 | [Inductor] Hide reinplace_fsdp_all_gather pass behind skip_fsdp_hooks config | yf225 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | The `reinplace_fsdp_all_gather` pass is currently only for Traceable FSDP2 and doesn't work together with SimpleFSDP. We should hide the pass behind `skip_fsdp_hooks` config which makes it only apply to Traceable FSDP2.
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #150436
... | true |
2,964,147,675 | [dynamo] Improve trace rules reasoning | williamwen42 | open | [
"triaged",
"oncall: pt2",
"module: dynamo",
"module: compile ux"
] | 0 | MEMBER | The reasoning infra for trace_rules.py is outdated and not very user friendly.
For example, we get graph break logs such as
```
Attempted to inline function marked as skipped
Explanation: Dynamo developers have intentionally marked that the function `skip` should not be traced.
Hint: Avoid calling the function `sk... | true |
2,964,103,934 | Faster way to test self hosted GPU runner | zhe-thoughts | open | [
"triaged",
"open source",
"topic: not user facing",
"ciflow/periodic"
] | 2 | NONE | This is for experimenting with hosting github runners on nvidia managed hardware | true |
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