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 |
|---|---|---|---|---|---|---|---|---|
2,812,541,502 | Add correct `__repr__` for parallel distributed modules | ArthurZucker | open | [
"oncall: distributed",
"triaged",
"oncall: pt2"
] | 3 | NONE | ### 🚀 The feature, motivation and pitch
Sorry if this is a duplicated, but instantiating a `transformers` and paralellizing will print the same model, which is unintuitive.
```python
import torch
import os
from transformers import LlamaConfig, LlamaModel
model_id = "meta-llama/Meta-Llama-3-8B-Instru... | true |
2,812,534,440 | Add `sharding strategy` for `torch.distributed.tensor.parallel.ParallelStyle` with `inference_mode` | ArthurZucker | closed | [
"oncall: distributed",
"triaged",
"module: dtensor"
] | 3 | NONE | ### 🚀 The feature, motivation and pitch
When using tensor parallel and `with torch.inference_mode()`, any `torch.distributed.tensor.parallel.ParallelStyle` layers, we have:
`aten.mm.default: got mixed torch.Tensor and DTensor, need to convert all torch.Tensor to DTensor before calling distributed operators!`.
With ... | true |
2,812,288,005 | internal assert failed -- trying to update all from pinokio comfy ui | lingtalfi | closed | [
"module: windows",
"triaged"
] | 3 | NONE | ### 🐛 Describe the bug
I'm on windows 11, with nvidia 4090, and playing with comfyUI installed via pinokio.
Everything works well, but when i clicked the "update all" button from the comfyUI's node manager button, i got this message that suggested me to report the bug to pyTorch, so here i am.
Note that i can just r... | true |
2,812,281,001 | [dynamo][dicts] Fix dict.__new__ bug | anijain2305 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145559
* #145753
* #145744
* __->__ #145723
* #145558
* #145547
* #145519
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,812,237,128 | [MPS] optimize cholesky | Isalia20 | closed | [
"triaged",
"open source",
"Merged",
"module: mps",
"release notes: mps",
"ciflow/mps"
] | 4 | COLLABORATOR | Followup to #145701
Optimizes the syrk and trsm kernels of cholesky decomposition on mps. For SYRK kernel it does matmuls with apple's simdgroup matrices instead of a tiled implementation and for trsm kernel we do vectorized loads. Also this PR puts command encoder inside of the stream queue dispatch (as discussed ... | true |
2,812,227,068 | [Customized Optimus][Inductor] Add split cat pattern in aten level | mengluy0125 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"module: inductor",
"ciflow/inductor",
"release notes: inductor",
"inductor_pattern_match"
] | 7 | CONTRIBUTOR | Summary:
Thanks Microve for discovering that recGPT has some repeated similar kernels that might be optimized through optimus. After investigation, I designed a pattern in the aten level to remove such excessive kernels.
trace: https://fburl.com/perfdoctor/82fauil7
tlparse: https://fburl.com/98q6tadx
Test Plan:
# uni... | true |
2,812,161,492 | Fix support for nccl < 2.17 | oraluben | open | [
"oncall: distributed",
"open source",
"ciflow/trunk",
"release notes: distributed (c10d)",
"topic: not user facing"
] | 28 | CONTRIBUTOR | Fix build failure with older (< 2.17) NCCL.
Refactoring NCCL version related code:
1. Fix failure against old NCCL versions since #138527 cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o ;
2. remove unused checks caused by unsupported NCCL version (since there's a static asser... | true |
2,812,082,404 | [BE] Use copy_method to import all tests | malfet | closed | [
"Merged",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145718
Less chances for typo when doing the imports
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @... | true |
2,812,035,836 | add input shape check for _local_scalar_dense | jiayisunx | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 4 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145717
Fix https://github.com/pytorch/pytorch/issues/145066.
| true |
2,812,022,132 | support arm architectures in your Docker images on docker hub? ( | cboettig | open | [
"triaged",
"enhancement",
"module: docker",
"module: arm"
] | 2 | NONE | ### 🚀 The feature, motivation and pitch
`pytorch` images on Docker Hub are still only available for amd64 architectures. Nvidia/cuda images support both arm64 and amd64. I believe we are seeing more and more devices offering Nvidia GPUs witth ARM cpu architecture, and multi-arch builds are commonplace. It would be ... | true |
2,811,957,447 | Log cache state for AOTAutograd in title of file | jamesjwu | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145715
Differential Revision: [D68692755](https://our.internmc.facebook.com/intern/diff/D68692755/)
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @... | true |
2,811,947,398 | setitem node shouldn't be deadcode eliminated | leslie-fang-intel | closed | [
"open source",
"Merged",
"ciflow/trunk",
"release notes: fx",
"fx"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145714
**Summary**
Fix issue https://github.com/pytorch/pytorch/issues/145697. The `operator.setitem` has been eliminated as dead code, causing a correctness issue. Mark it as impure in this PR to avoid this side effect.
**TestP... | true |
2,811,856,964 | Doubt about the actual behavior of handle.wait() in torch.distributed | Edenzzzz | closed | [
"oncall: distributed",
"triaged"
] | 7 | NONE | ### 📚 The doc issue
For `comm_handle.wait()` in the case of async comm, the doc (https://pytorch.org/docs/stable/distributed.html#synchronous-and-asynchronous-collective-operations) says
`In the case of CUDA collectives, will block until the operation has been successfully enqueued onto a CUDA stream and the output ... | true |
2,811,816,932 | [inductor] Remove type ignores from scheduler.py | jansel | 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):
* __->__ #145712
* #145692
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aak... | true |
2,811,812,021 | [Inductor-CPU] Templated codegened kernel name may not correctly reflect epilogue fusions | sanchitintel | open | [
"oncall: pt2",
"oncall: cpu inductor"
] | 4 | COLLABORATOR | ### 🐛 Describe the bug
Ran LLaMA2 with BF16 AMP & max-autotune enabled for CPU.
Some codegened kernel names are of the type `cpp_fused_add_mul_silu_xxx`, but `SiLU` & `mul` are not present in the generated code, and the only epilogue present in the sample codegened code below is `add`.
UPDATE: The issue is related ... | true |
2,811,805,366 | LBFGS-B with cuda implementation (and CPU one too) | AnFunctionArray | open | [
"module: optimizer",
"triaged"
] | 4 | NONE | ### 🚀 The feature, motivation and pitch
I've found LBFGS to be bottleneck in my application, so I searched and found [this](https://github.com/raymondyfei/lbfgsb-gpu) - then I implemented in my own LBFGS1.cpp and LBFGS1.h using the cuda files from [culbfgsb](https://github.com/raymondyfei/lbfgsb-gpu/tree/master/culbf... | true |
2,811,794,179 | [Inductor-CPU] Templated codegened kernel names are ambiguous in PyTorch profiler results | sanchitintel | open | [
"oncall: pt2",
"oncall: cpu inductor"
] | 1 | COLLABORATOR | ### 🐛 Describe the bug
When max-autotune is used with Inductor-CPU & PyTorch Profiler is used to collect performance data, kernel names are ambiguous - when a templated FlexAttention kernel or a templated GEMM is used, the kernel name doesn't reflect whether the kernel pertains to GEMM or to attention.
e.g. `cpp_fus... | true |
2,811,756,969 | PEP585: .github release triggers | aorenste | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145708
| true |
2,811,756,935 | PEP585: .github | aorenste | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145708
* __->__ #145707
| true |
2,811,734,182 | Modify torch/_functorch/_aot_autograd/dispatch_and_compile_graph.py | rec | closed | [
"ciflow/inductor"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145706
* #145636
| true |
2,811,726,803 | [MPSInductor] Add rand support | 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):
* #145718
* __->__ #145705
Using Philox4 as PRNG
Test plan (other that CI)
Run
```python
mport torch
from torch._inductor.utils import run_and_get_code
from contextlib import nullcontext
def foo(x):
return x * torch.randn_like(... | true |
2,811,650,043 | Bot spamming on PR trying to deploy to upload-benchmark-results environment | huydhn | closed | [
"triaged",
"module: devx"
] | 6 | CONTRIBUTOR | ### 🐛 Describe the bug
Reported by @ezyang, for example https://github.com/pytorch/pytorch/pull/144695
<img width="903" alt="Image" src="https://github.com/user-attachments/assets/099bbf5d-340a-4ccc-9cfe-000569e55b03" />
### Versions
The issue manifests on both regular and ghstack PRs
cc @ZainRizvi @kit1980 @clee... | true |
2,811,644,603 | CUDA IPC tensors keep occupying GPU memory that cannot be freed | fingertap | closed | [] | 0 | NONE | ### 🐛 Describe the bug
CUDA IPC is very important for sharing tensors between multiple ray actors in RL applications to accelerate the communication. Currently the CUDA IPC memory cannot get freed:
```python
import ray
import torch
from torch.multiprocessing.reductions import reduce_tensor
def create_handle(tensor... | true |
2,811,602,739 | PyTorch VS2022 official build Windows binary illegal instruction on AVX2(max ISA level) CPU | xuhancn | open | [
"high priority",
"module: crash",
"module: build",
"module: windows",
"module: cpu",
"triaged"
] | 17 | COLLABORATOR | ### 🐛 Describe the bug
# Background
This issue is re-submit of https://github.com/pytorch/pytorch/issues/145042, because of we taked about this issue and we think the original issue will make us confuse it is a `XPU` related issue. But acturally it is a `CPU` only issue.
# Reproduce steps:
1. It is easy step to repr... | true |
2,811,472,484 | [MPS] cholesky implementation | Isalia20 | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: improvements",
"release notes: mps",
"ciflow/mps",
"ciflow/inductor"
] | 4 | COLLABORATOR | Requested in #77764
Closed #144193 due to a lot of conflicts when rebasing | true |
2,811,367,294 | [POC] [CPU][Inductor] Support INT8 SDPA based on CPP template | Valentine233 | closed | [
"open source",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 2 | COLLABORATOR | This PR implements the Int8 SDPA CPU kernel based on CPP template following the RFC #144941.
ARs:
- [ ] INT8 SDPA patterns:
- Done: FP32 with/wo mask, batch size >/= 1;
- Remain: BF16 with/wo mask, batch size >/= 1.
- [ ] Add the `select_strategy` to generate the kernel with various parallel loop... | true |
2,811,315,942 | PEP585: .github 1b1 | aorenste | closed | [
"topic: not user facing"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145699
| true |
2,811,302,087 | PEP585: .github 1b2 | aorenste | closed | [
"topic: not user facing"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145698
| true |
2,811,298,530 | Constant folding pass leads to model inference errors | fernchen | closed | [
"triaged",
"oncall: pt2",
"module: inductor"
] | 3 | NONE | ### 🐛 Describe the bug
I accidentally discovered that PyTorch's built-in constant folding optimization pass(`torch._inductor.constant_folding.constant_fold` ) may cause inference errors in the model in certain situations, as shown below:
```Python
import torch
import torch._dynamo as torch_dynamo
import torchvision.... | true |
2,811,297,236 | [CI][CUDA][cuSPARSELt] cusparselt 0.6.3 and cu121 related cleanups | nWEIdia | closed | [
"oncall: distributed",
"open source",
"module: amp (automated mixed precision)",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"module: dynamo",
"ciflow/inductor",
"module: compiled autograd"
] | 4 | COLLABORATOR | Fix inconsistency between CD (nightly binary) and CI (what ci jobs install for cu126)
Remove remaining cu121 ci/docker jobs
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @mcarilli @ptrblck @leslie-fang-intel @jgong5 @voznesenskym @penguinwu @EikanWang @Guobing-Chen @XiaobingS... | true |
2,811,288,468 | [inductor] Remove mask_str from IndexingOptions | jansel | closed | [
"Merged",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145689
* #145688
* __->__ #145695
* #145671
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @deser... | true |
2,811,281,430 | feat: improve indexing error messages | MattGPT-ai | closed | [
"triaged",
"open source",
"Stale",
"release notes: mps"
] | 3 | NONE | Improves the error messages when certain tensor operations fail, for example
`RuntimeError: index_select(): Expected dtype int32 or int64 for index` will now say
e.g.
`RuntimeError: index_select(): Expected dtype int32 or int64 for index, got float32`
| true |
2,811,278,439 | AMD MI300A Unified Memory Support | lancelotnd | open | [
"feature",
"module: rocm",
"triaged",
"topic: new features"
] | 4 | CONTRIBUTOR | ### 🚀 The feature, motivation and pitch
I am working on improving performance for LLM workloads on AMD Instinct™ MI300A Accelerator. This APU is equipped with a fully unified-memory architecture not taken advantage by PyTorch at this time. Because both the GPU and CPU share the same physical memory, memcpy ops become... | true |
2,811,276,060 | [inductor] Change type of get_backend_features to OrderedSet | jansel | closed | [
"Merged",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145712
* __->__ #145692
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aak... | true |
2,811,275,967 | [inductor] Add some typing to common.py | jansel | closed | [
"module: rocm",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145712
* #145692
* __->__ #145691
* #145690
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhu... | true |
2,811,234,883 | [inductor] Add some typing to simd.py | jansel | closed | [
"Merged",
"topic: not user facing",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145712
* #145692
* #145691
* __->__ #145690
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @deser... | true |
2,811,224,680 | [inductor] Support non-power-of-2 cooperative RSPLIT | 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):
* #143812
* #142295
* __->__ #145689
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @cha... | true |
2,811,224,646 | [inductor] Add some typing to triton.py | jansel | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 5 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145689
* __->__ #145688
* #145695
* #145671
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @deser... | true |
2,811,211,133 | [Inductor-CPU] `add` is not being fused with templated int8 WoQ GEMM while running LLaMA2 | sanchitintel | open | [
"oncall: pt2",
"oncall: cpu inductor"
] | 3 | COLLABORATOR | ### 🐛 Describe the bug
When max-autotune is enabled with Inductor-CPU, and when int8 WoQ GEMM is used with auto-tuning enabled, `add` isn't being fused with it.
So, there's an opportunity cost. i.e. For LLaMA, for BF16 dtype, with BF16 templated GEMM, we are even able to fuse `add` & RMSNorm's decomposed ops as epil... | true |
2,811,162,520 | [inductor] Adjust test_log_fp64 to only run when float64 is supported. | dcci | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 6 | MEMBER | 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 @aakhundov | true |
2,811,124,908 | [Easy] update pip sources for ROCm in nightly pull tool | XuehaiPan | open | [
"module: rocm",
"open source",
"topic: not user facing",
"ciflow/rocm"
] | 3 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #149143
* __->__ #145685
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,811,113,793 | [inductor triton] Disable incorrect TF32 usage on CUDA capability < 8 | benjaminglass1 | closed | [
"open source",
"Merged",
"ciflow/trunk",
"release notes: cuda",
"module: inductor",
"ciflow/inductor"
] | 5 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145683
* #145655
* #145654
* #145095
* __->__ #145684
Triton 2.2 and greater have a bug where allowing TF32 generation for a GPU that does not support TF32 will cause code generation errors. Patch around this problem by:
1. Adding a fun... | true |
2,811,110,100 | cpp_wrapper: fix CPU cpp_wrapper and max-autotune tests | benjaminglass1 | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 8 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146424
* #146109
* __->__ #145683
* #145655
* #145654
* #145095
Both of these tests mostly failed due to incorrect assumptions about the generated code.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe... | true |
2,811,088,644 | PEP585: .github 2 | aorenste | closed | [
"topic: not user facing"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145682
| true |
2,811,055,638 | Avoid data-dependent errors by runtime assert substitution. | ysiraichi | open | [
"open source",
"release notes: fx",
"fx",
"module: dynamo",
"ciflow/inductor"
] | 9 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #142372
* __->__ #145681
This PR adds a simplification method using runtime asserts, whenever we
are about to raise a data-dependent error. We use the recorded runtime
asserts as a source of knowledge for substituting the free symbols in
the... | true |
2,811,039,337 | Add icdf to Gamma dist | moghadas76 | open | [
"triaged",
"open source",
"Stale"
] | 6 | NONE | Fixes #145679
| true |
2,811,029,133 | Gamma cdf function | moghadas76 | open | [
"module: distributions",
"triaged"
] | 0 | NONE | ### 🐛 Describe the bug
```python
chi2 = torch.distributions.Gamma(df=self.df.squeeze(-1)).icdf(uniform)
```
File "/home/seyed/miniconda3/envs/env/lib/python3.11/site-packages/torch/distributions/distribution.py", line 212, in icdf
raise NotImplementedError
NotImplementedError
### Versions
Collecting environm... | true |
2,811,019,416 | torch.tensor reports inconsistent errors when running on GPU and CPU | CZXIANGOvO | closed | [] | 1 | NONE | ### 🐛 Describe the bug
# description
The error messages displayed for torch.tensor on GPU and CPU are inconsistent. The error messages on GPU are very abstract and difficult to understand. The error messages on CPU are very straightforward.
# GPU
```python
import torch
data = torch.tensor(np.random.randn(1, 10), dtyp... | true |
2,810,916,337 | [1/N] Improve typing in torch/_C/__init__.pyi.in | cyyever | closed | [
"oncall: distributed",
"triaged",
"open source",
"module: amp (automated mixed precision)",
"Stale",
"ciflow/trunk",
"topic: not user facing"
] | 14 | COLLABORATOR | Fixes #ISSUE_NUMBER
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @mcarilli @ptrblck @leslie-fang-intel @jgong5 | true |
2,810,907,179 | Build RowwiseScaledMM.cu for SM89 | alexsamardzic | closed | [
"oncall: distributed",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"topic: build",
"module: inductor",
"ciflow/inductor"
] | 10 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145676
cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenya... | true |
2,810,815,305 | [c10d] Add NCCL memory allocator | kwen2501 | closed | [
"oncall: distributed",
"module: nccl",
"Merged",
"Reverted",
"ciflow/trunk",
"release notes: distributed (c10d)",
"ci-no-td"
] | 15 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145675
This PR implements a small UI improvement over #133603.
It prepares a NCCL memory allocator in torch cpp and then pybind's it out, so that user can directly use it.
UI:
```
pool = torch.cuda.MemPool(backend.mem_alloca... | true |
2,810,812,915 | Convert Tensor lr to 0-dim as needed for the optimizer to normally work | Tony-Y | closed | [
"triaged",
"open source",
"Merged",
"ciflow/trunk",
"release notes: optim"
] | 62 | CONTRIBUTOR | Fixes #145461
| true |
2,810,747,029 | [Custom Ops] Fix f-strings in custom ops error message | yanboliang | closed | [
"module: custom-operators",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145673
* #145588
| true |
2,810,741,786 | [3/N] Remove unnecessary once flag usage | cyyever | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 9 | COLLABORATOR | Fixes #ISSUE_NUMBER
| true |
2,810,691,146 | [inductor] Fix handling of fixed XBLOCK larger than xnumel=1 | jansel | closed | [
"Merged",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145689
* #145688
* #145695
* __->__ #145671
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @deser... | true |
2,810,677,890 | compiling for rocm gfx1010, getting cuda errors | bragadzilla | open | [
"module: build",
"module: rocm",
"triaged"
] | 8 | NONE | ### 🐛 Describe the bug
I am compiling for rocm, but getting a cuda error.
The same error has been discussed in https://github.com/pytorch/pytorch/issues/108344, but the user said it was solved by using `USE_ROCM` and did not elaborate further.
```
export VERBOSE=1
export PYTORCH_ROCM_ARCH="gfx1010"
export USE_ROCM=1... | true |
2,810,670,135 | [CUDA][B200] Update the number of threads in `avg_pool2d` backward for SM 10.0 | eqy | closed | [
"module: cuda",
"open source",
"Merged",
"module: pooling",
"ciflow/trunk",
"topic: not user facing"
] | 34 | COLLABORATOR | Fixes register count issue when launching on SM 10.0, originally authored by @bilal2vec
cc @ptrblck @msaroufim @mikaylagawarecki | true |
2,810,648,759 | Pull request | rohansudarshan1810 | closed | [
"open source"
] | 3 | NONE | Fixes #ISSUE_NUMBER
| true |
2,810,647,083 | Make sure to evaluate annotation strings in the context of where the prototype was created | aorenste | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 7 | CONTRIBUTOR | This was incorrectly evaluating the annotation in the context of infer_schema - make sure to evaluate annotation strings in the context of where the prototype was created instead.
Fixes #145481
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145667
| true |
2,810,632,136 | [autocast][pytorch] Support autocast for MTIA (policy) | nautsimon | closed | [
"fb-exported",
"module: amp (automated mixed precision)",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: mtia"
] | 7 | MEMBER | Summary: Add autocast support for MTIA (policy)
Reviewed By: egienvalue
Differential Revision: D68604796
cc @mcarilli @ptrblck @leslie-fang-intel @jgong5 @egienvalue | true |
2,810,632,070 | Pickling duplicates Storage | roosephu | open | [
"module: pickle",
"triaged"
] | 2 | NONE | ### 🐛 Describe the bug
When pickling two tensors with the same underlying storage, I expected the storage to be only pickled once. However, it seems that the storage is saved twice.
```python
import torch
import pickle
x = torch.zeros(1_000_000)
print(len(pickle.dumps(x)), len(pickle.dumps([x, x[:]])))
```
Output... | true |
2,810,570,168 | Remove FBGEMM sccache hack | huydhn | closed | [
"Merged",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Testing https://github.com/pytorch/pytorch/actions/runs/12959358756, sccache is working correctly now
| true |
2,810,533,892 | The difference between CPP and python3 on matrix permute | George0726 | closed | [] | 0 | NONE | ### 🐛 Describe the bug
I am trying to implement code on CPP,
However, I found that the permute and transpose functions in cpp have different values from permute python3. Besides, the tensor after view is the same and I also try
``` python
output = tensor1.view(1, -1, 24, 128).permute(0, 2, 1, 3) #python3 code
```
... | true |
2,810,500,337 | [CUDA] Change slim-wheel libraries load order | pytorchbot | closed | [
"open source"
] | 1 | COLLABORATOR | There is no libnvjitlink in CUDA-11.x , so attempts to load it first will abort the execution and prevent the script from preloading nvrtc
Fixes issues reported in https://github.com/pytorch/pytorch/pull/145614#issuecomment-2613107072
cc @atalman @malfet @ptrblck @eqy @tinglvv
| true |
2,810,473,542 | PYTORCH_NO_CUDA_MEMORY_CACHING=0 affects native allocator as if: = 1 | Teriks | closed | [
"module: docs",
"module: cuda",
"triaged"
] | 3 | NONE | ### 🐛 Describe the bug
It came as a surprise to me that setting `PYTORCH_NO_CUDA_MEMORY_CACHING=0` is treated the same as `PYTORCH_NO_CUDA_MEMORY_CACHING=1` in the native allocator code.
The python code of torch handles this envvar by checking its value, the cpp code for the allocator essentially just checks if it i... | true |
2,810,449,563 | Reapply "refactor tensorify restart logic to use sources (#141517)" (#143623) | bobrenjc93 | closed | [
"release notes: fx",
"fx",
"module: dynamo",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145660
* #145659
* #145650
This reverts commit 4f8b7c4272db521f7ffc4070ce1bdece513d1183.
cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv @voznesenskym @penguinwu @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @jiayisunx @... | true |
2,810,449,469 | add speculation log divergence test | bobrenjc93 | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 9 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145659
Followup from a SEV. Confirmed that this breaks when stacked on top of https://github.com/pytorch/pytorch/pull/145660 (offending PR that caused the SEV)
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingS... | true |
2,810,431,288 | [dynamo] Fix read/write conflicts in a cuda test | StrongerXi | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145658
Prior to this patch, the `test_cuda_event_created_outside_of_graph`
is flaky in CI, and that's because we have read and write to the same
`foo` tensor buffer from 2 different streams. This patch eliminates that
by adding a syn... | true |
2,810,405,320 | PEP585: .github 1a | aorenste | closed | [
"topic: not user facing"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145657
| true |
2,810,395,787 | Stable C bindings for libtorch | ehartford | open | [
"module: cpp",
"triaged"
] | 4 | NONE | ### 🚀 The feature, motivation and pitch
Thank you for all your hard work on PyTorch and LibTorch! The C++ API is excellent, but there’s a recurring need across many developer communities for an official or semi-official C API (i.e., a stable libtorch_c.so / “C shim”).
## Why a C API?
Language Interop: Most languages... | true |
2,810,384,503 | cpp_wrapper: enable all CPU repro tests | benjaminglass1 | closed | [
"open source",
"Merged",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146424
* #146109
* #145683
* __->__ #145655
* #145654
* #145095
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPep... | true |
2,810,384,444 | cpp_wrapper: fix set_.source_Tensor lowering | benjaminglass1 | closed | [
"open source",
"Merged",
"topic: not user facing",
"module: inductor",
"ciflow/inductor"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #146424
* #146109
* #145683
* #145655
* __->__ #145654
* #145095
Adds a C-shim fallback for `set_.source_Tensor`, which is effectively required by `ir.SetSourceTensorKernel`. As a necessary prerequisite to use that IR node, updates `CppWrap... | true |
2,810,373,279 | [draft_export] fix dense-in-memory check for inferring fakes | pianpwk | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export"
] | 4 | CONTRIBUTOR | Test Plan: fixes check for dense tensors with size-1 dimensions
Differential Revision: D68644028
| true |
2,810,360,776 | [c10d] implement ReduceOp.unbox() | yifuwang | open | [
"oncall: distributed",
"open source",
"Stale",
"release notes: distributed (c10d)"
] | 2 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145652
* #144886
```python
>>> import torch
>>> op = torch.classes.c10d.ReduceOp()
>>> op
<torch.ScriptObject object at 0x5b688b0>
>>> torch.distributed.ReduceOp.unbox(op)
<torch.distributed.distributed_c10d.ReduceOp object... | true |
2,810,351,107 | Add link to non_blocking/pinmem tutorial in `Tensor.to` docstrings | vmoens | closed | [
"module: docs",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 6 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145651
cc @svekars @brycebortree @sekyondaMeta @AlannaBurke | true |
2,810,340,548 | Fix nonzero meta function striding | bobrenjc93 | closed | [
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 1 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
Fixes #130290
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,810,306,970 | Add fake_impl for unique_consecutive | zou3519 | closed | [
"Merged",
"ciflow/trunk",
"release notes: composability",
"module: dynamo",
"ciflow/inductor"
] | 7 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145649
Summary:
It's fairly similar to torch.unique and torch.unique_dim.
Test Plan:
New test
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kaden... | true |
2,810,290,499 | Test distributions compilation | vmoens | open | [
"Stale",
"topic: not user facing"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145648
* #145647
* #145646
* #145645
| true |
2,810,290,331 | Fix distributions dynamo tracing (`__init__`, sample and log_prob) | vmoens | open | [
"Stale",
"module: dynamo",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145648
* __->__ #145647
* #145646
* #145645
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames | true |
2,810,290,151 | refactor Distribution class for compile support | vmoens | open | [
"Stale"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145648
* #145647
* __->__ #145646
* #145645
| true |
2,810,289,953 | Parametrize distributions tests | vmoens | open | [
"Stale",
"topic: not user facing"
] | 2 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* #145648
* #145647
* #145646
* __->__ #145645
| true |
2,810,281,752 | [inductor] Fix crash running wrapper_benchmark with no device | mgraczyk | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor"
] | 11 | CONTRIBUTOR | Fixes #145434
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov | true |
2,810,268,911 | [mps/inductor] Add support for `erfinv`. | dcci | closed | [
"Merged",
"topic: not user facing",
"module: mps",
"ciflow/mps",
"module: inductor",
"ciflow/inductor"
] | 3 | MEMBER | After several rounds of refactoring, this seems to be done now.
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 ... | true |
2,810,255,093 | torch/utils/cpp_extension.py doesn't support sm_90a | zhengqigao | closed | [
"module: cpp-extensions",
"module: cuda",
"triaged",
"module: regression"
] | 3 | NONE | ### 🐛 Describe the bug
I am compiling a customized CUDA extension on H200 GPU using torch.utils.cpp_extension, and get the following error:
```
/lib/python3.10/site-packages/torch/utils/cpp_extension.py", line 1973, in <listcomp>
supported_sm = [int(arch.split('_')[1])
ValueError: invalid literal for int() with... | true |
2,810,245,001 | [CI][CUDA][Blackwell] sm_\d\d no longer matches sm_100. | nWEIdia | closed | [
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing"
] | 13 | COLLABORATOR | Therefore making it sm_\d+
Fixes this unit test failure: python test/test_cpp_extensions_jit.py -k TestCppExtensionJIT.test_jit_cuda_archflags
cc @atalman @malfet @ptrblck @eqy @tinglvv | true |
2,810,186,360 | [dynamo] clear out traced frames at the start of `test_log_traced_frames` | StrongerXi | closed | [
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: dynamo",
"ciflow/inductor"
] | 4 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145640
The test was being flaky in CI, and this patch fixes it.
Fixes #137461.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @am... | true |
2,810,179,123 | [AOTInductor] Refactor CPU and GPU to remove ifdef macros | muchulee8 | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/inductor"
] | 6 | CONTRIBUTOR | Summary: Remove #ifdef USE_CUDA macros through some refactor
Test Plan: Refactor code, existing tests.
Differential Revision: D68636743
| true |
2,810,140,747 | [CUDA] Change slim-wheel libraries load order | nWEIdia | closed | [
"open source",
"Merged",
"ciflow/trunk",
"release notes: build"
] | 16 | COLLABORATOR | There is no libnvjitlink in CUDA-11.x , so attempts to load it first will abort the execution and prevent the script from preloading nvrtc
Fixes issues reported in https://github.com/pytorch/pytorch/pull/145614#issuecomment-2613107072
cc @atalman @malfet @ptrblck @eqy @tinglvv
| true |
2,810,138,356 | Remove duplicate code in _aot_autograd/dispatch_and_compile_graph.py | rec | closed | [
"topic: not user facing",
"ciflow/inductor"
] | 1 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145637
* #145636
| true |
2,810,137,955 | Simplify functional composition in _aot_autograd/dispatch_and_compile_graph.py | rec | closed | [
"open source",
"topic: not user facing",
"ciflow/inductor"
] | 14 | COLLABORATOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145636
| true |
2,810,135,973 | [ROCm] Improvements to non-vectorized elementwise kernels | jerrymannil | closed | [
"module: rocm",
"open source",
"topic: not user facing",
"ciflow/periodic",
"rocm",
"ciflow/rocm",
"ciflow/inductor-rocm"
] | 11 | CONTRIBUTOR | * Unroll loops manually to hide memory access latency
* Strided access for coalesced memory acesses
Cherry-pick of https://github.com/pytorch/pytorch/pull/145635
Co-authors: @akadutta @doru1004 @amd-hhashemi @carlobertolli
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @j... | true |
2,810,129,477 | Revert D68241649 | ezyang | closed | [
"fb-exported"
] | 6 | CONTRIBUTOR | Summary:
This diff reverts D68241649
Revert D68241649 as it impacts model inference performance.
The impacted performance was observed in the Shaker patform, which runs embedded Linux.
Test Plan: NA
Reviewed By: ezyang
Differential Revision: D68636019
| true |
2,810,120,056 | Simplify inplace decomp logic by avoiding recursion | albanD | closed | [
"topic: not user facing",
"ciflow/inductor"
] | 2 | COLLABORATOR | This significantly reduces the number of infinite recursion when writing decomps.
Helps with https://github.com/pytorch/pytorch/issues/145094 | true |
2,810,113,565 | Enable `sm_89` support for relevant ops in PyTorch | vgoklani | closed | [
"module: build",
"module: cuda",
"triaged",
"module: m1"
] | 14 | NONE | Please add sm_89 to the list of target architectures for the stable, nightly, and Docker images. While I’ve seen references indicating that sm_89 might not need explicit builds due to binary compatibility with sm_86 and sm_80, that compatibility does not hold for FP8-related features on sm_89.
For more details, see th... | true |
2,810,093,266 | Back out "Add generator parameter to rand*_like functions (#136780)" | ezyang | closed | [
"fb-exported"
] | 5 | CONTRIBUTOR | Summary: Revert D68241649 as it impacts model inference performance
Test Plan: TBD
Reviewed By: ezyang
Differential Revision: D68635488
| true |
2,810,048,146 | Introduce aoti_call_delegate HOP | SherlockNoMad | closed | [
"fb-exported",
"Merged",
"ciflow/trunk",
"ciflow/inductor",
"release notes: export"
] | 22 | CONTRIBUTOR | Summary:
Previously, aoti compile node is represented as a kernel-less custom op in the exported program. The node was not eager runnable, which is a common practice for numerical validation during lowering.
I introduce a new HOP to address this.
The schema is following
```
aoti_call_delegate(lower_moduel: AOTInduc... | true |
2,809,968,113 | [ROCm] trunk.yml only runs pre-merge via ciflow/trunk label | amdfaa | closed | [
"module: rocm",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"ciflow/rocm"
] | 3 | CONTRIBUTOR | cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | true |
2,809,944,166 | Add __all__ for torch.nn.init | mikaylagawarecki | closed | [
"Stale"
] | 3 | CONTRIBUTOR | Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom):
* __->__ #145628
| true |
2,809,910,190 | [autocast][pytorch] Support autocast for MTIA | nautsimon | closed | [
"fb-exported",
"module: amp (automated mixed precision)",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: mtia"
] | 4 | MEMBER | Summary: Add autocast support to MTIA
Reviewed By: egienvalue
Differential Revision: D68572548
cc @mcarilli @ptrblck @leslie-fang-intel @jgong5 @egienvalue | true |
2,809,892,278 | [Rocm][Inductor][CK] silence ck package not installed warning when CK backend is not used to autotune bmm | tenpercent | closed | [
"module: rocm",
"open source",
"Merged",
"ciflow/trunk",
"topic: not user facing",
"module: inductor",
"ciflow/inductor",
"ciflow/rocm"
] | 5 | COLLABORATOR | As titled
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desert... | true |
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