Commit graph

597 commits

Author SHA1 Message Date
PyTorch UpdateBot
a44a8a7d3a [audio hash update] update the pinned audio hash (#145988)
This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned audio hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145988
Approved by: https://github.com/pytorchbot
2025-02-02 04:19:29 +00:00
Huy Do
f38d5b4a74 Update TorchBench commit to main (#145455)
I'm adding sam2 to TorchBench https://github.com/pytorch/benchmark/issues/2566, so, as part of that, I'm updating PyTorch CI to use latest TorchBench commit.

The corresponding change from TorchBench is https://github.com/pytorch/benchmark/pull/2584

The main thing to call out that the newer transformers added by https://github.com/pytorch/benchmark/pull/2488 is regressing several models. This needs to be investigated further, and I pin the version to unblock this change.

* `hf_Roberta_base` a new model added by https://github.com/pytorch/benchmark/pull/2279, not sure why it fails accuracy on A10G, but it works fine on A100
* `speech_transformer` failures are pre-existing trunk failures, i.e. https://github.com/pytorch/pytorch/actions/runs/13040114684/job/36380989702#step:22:2408

Pull Request resolved: https://github.com/pytorch/pytorch/pull/145455
Approved by: https://github.com/kit1980
2025-02-01 06:44:26 +00:00
PyTorch UpdateBot
3917053f63 [audio hash update] update the pinned audio hash (#145328)
This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned audio hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145328
Approved by: https://github.com/pytorchbot
2025-01-22 19:39:03 +00:00
PyTorch UpdateBot
47c4e01e71 [audio hash update] update the pinned audio hash (#143694)
This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned audio hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/143694
Approved by: https://github.com/pytorchbot
2024-12-21 05:42:34 +00:00
Shangdi Yu
d8ea4ce631 [reland] Kill capture_pre_autograd_graph API (#143426)
Summary:
Delete the following API:

- capture_pre_autograd_graph()
- capture_pre_autograd_graph_using_training_ir()
- gm_using_training_ir()

Update XLA pin to include https://github.com/pytorch/xla/pull/8398

There's no more call sites to `capture_pre_autograd_graph`.

Except
1) two test cases in coreml, guarded by version guard, PR to remove: https://github.com/apple/coremltools/pull/2400
2) a few call sites guarded by version guard (< 2.5.0)

Test Plan: CI

Differential Revision: D67354440

Pull Request resolved: https://github.com/pytorch/pytorch/pull/143426
Approved by: https://github.com/gmagogsfm
2024-12-18 12:07:09 +00:00
PyTorch UpdateBot
5273d8fd2a [audio hash update] update the pinned audio hash (#143265)
This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned audio hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/143265
Approved by: https://github.com/pytorchbot
2024-12-15 03:41:14 +00:00
PyTorch UpdateBot
698eefaddd [audio hash update] update the pinned audio hash (#143245)
This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned audio hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/143245
Approved by: https://github.com/pytorchbot
2024-12-14 03:37:56 +00:00
IvanKobzarev
d552625920 [xla] Update pin to current xla/master (#142065)
Previous xla pin update was to branch on xla, which I force pushed to remove .torch_pin from xla PR and this commit became non available. Updating to merged xla/master.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/142065
Approved by: https://github.com/malfet, https://github.com/huydhn
2024-12-04 19:44:50 +00:00
IvanKobzarev
f85e238186 [aotd] capture rrelu_with_noise noise mutation in compile (#141867)
Rebase-copy of long standing already approved PR https://github.com/pytorch/pytorch/pull/138503 that was blocked on landing by xla build issues.

Got a new  PR with the same content (ghstack checkout was failing due to changed submodules)

Corresponding xla PR:
https://github.com/pytorch/xla/pull/8363

Pull Request resolved: https://github.com/pytorch/pytorch/pull/141867
Approved by: https://github.com/bdhirsh
2024-12-04 12:18:58 +00:00
Jerry Zhang
a962ae511d Extend gpt-fast LLM dashboard to support torchao autoquant (#140627)
Summary:
We want to test autoquant on relevant LLM models

right now only llama2 and mixtral, but want to extend to more models like https://github.com/vllm-project/vllm/tree/main/vllm/model_executor/models

Test Plan:

```
                                            Llama-2-7b-chat-hf          Mixtral-8x7B-v0.1
gpt-fast int8                           112.98                              147.92
torchao autoquant                  87.41                               85.90
torchao autoquantv2             131.12                                79.59
```

https://hud.pytorch.org/benchmark/llms?repoName=pytorch%2Fpytorch

in pytorch/benchmarks/gpt_fast
```
python benchmark.py
```

output:
```
Loading model Llama-2-7b-chat-hf
Using int8 weight-only quantization!
Time to load model: 2.80 seconds
Compilation time: 170.24 seconds
Average tokens/sec: 112.98 tokens/sec
Average bandwidth achieved: 746.86 GB/s
Memory used: 7.95 GB

Loading model Mixtral-8x7B-v0.1
Using int8 weight-only quantization!
Time to load model: 0.24 seconds
Compilation time: 181.81 seconds
Average tokens/sec: 147.92 tokens/sec
Average bandwidth achieved: 953.06 GB/s
Memory used: 32.45 GB

Loading model Llama-2-7b-chat-hf
Time to load model: 0.11 seconds
Using autoquant
Compilation time: 109.31 seconds
Average tokens/sec: 87.17 tokens/sec
Average bandwidth achieved: 1151.86 GB/s
Memory used: 32.45 GB

Loading model Llama-2-7b-chat-hf
Time to load model: 0.11 seconds
Compilation time: 48.08 seconds
Average tokens/sec: 87.41 tokens/sec
Average bandwidth achieved: 1155.05 GB/s
Memory used: 36.86 GB

Loading model Mixtral-8x7B-v0.1
Time to load model: 0.20 seconds
Using autoquant
Compilation time: 47.32 seconds
Average tokens/sec: 85.90 tokens/sec
Average bandwidth achieved: 1106.37 GB/s
Memory used: 66.81 GB

local test (autoquant v2):
Loading model Mixtral-8x7B-v0.1
Compilation time: 124.40 seconds
Average tokens/sec: 90.41 tokens/sec
Average bandwidth achieved: 1164.47 GB/s
Memory used: 53.91 GB

Loading model Llama-2-7b-chat-hf
TODO

```

gpt_fast_benchmark.csv:
```
name,metric,target,actual,dtype,device,arch,is_model
Llama-2-7b-chat-hf,token_per_sec,144,112.98,int8,cuda,NVIDIA PG509-210,True
Llama-2-7b-chat-hf,memory_bandwidth(GB/s),957,746.86,int8,cuda,NVIDIA PG509-210,True
Llama-2-7b-chat-hf,compilation_time(s),136,170.24,int8,cuda,NVIDIA PG509-210,True
Mixtral-8x7B-v0.1,token_per_sec,175,147.92,int8,cuda,NVIDIA PG509-210,True
Mixtral-8x7B-v0.1,memory_bandwidth(GB/s),1130,953.06,int8,cuda,NVIDIA PG509-210,True
Mixtral-8x7B-v0.1,compilation_time(s),133,181.81,int8,cuda,NVIDIA PG509-210,True
gemv,memory_bandwidth(GB/s),870,867.06,int8,cuda,NVIDIA PG509-210,False
gemv,memory_bandwidth(GB/s),990,1092.43,bfloat16,cuda,NVIDIA PG509-210,False
layer_norm,memory_bandwidth(GB/s),950,573.57,bfloat16,cuda,NVIDIA PG509-210,False
Llama-2-7b-chat-hf,token_per_sec,144,87.17,autoquant,cuda,NVIDIA PG509-210,True
Llama-2-7b-chat-hf,memory_bandwidth(GB/s),957,1151.86,autoquant,cuda,NVIDIA PG509-210,True
Llama-2-7b-chat-hf,compilation_time(s),136,109.31,autoquant,cuda,NVIDIA PG509-210,True
gather_gemv,memory_bandwidth(GB/s),990,945.38,int8,cuda,NVIDIA PG509-210,False
gather_gemv,memory_bandwidth(GB/s),1060,1188.29,bfloat16,cuda,NVIDIA PG509-210,False
mlp_layer_norm_gelu,flops_utilization,0.8,0.82,bfloat16,cuda,NVIDIA PG509-210,False
Llama-2-7b-chat-hf,token_per_sec,94,87.41,bfloat16,cuda,NVIDIA PG509-210,True
Llama-2-7b-chat-hf,memory_bandwidth(GB/s),1253,1155.05,bfloat16,cuda,NVIDIA PG509-210,True
Llama-2-7b-chat-hf,compilation_time(s),133,48.08,bfloat16,cuda,NVIDIA PG509-210,True
Mixtral-8x7B-v0.1,token_per_sec,175,85.90,autoquant,cuda,NVIDIA PG509-210,True
Mixtral-8x7B-v0.1,memory_bandwidth(GB/s),1130,1106.37,autoquant,cuda,NVIDIA PG509-210,True
Mixtral-8x7B-v0.1,compilation_time(s),133,47.32,autoquant,cuda,NVIDIA PG509-210,True
```
Reviewers:

Subscribers:

Tasks:

Tags:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/140627
Approved by: https://github.com/huydhn
2024-11-27 21:57:48 +00:00
PyTorch MergeBot
ad37afd590 Revert "Always unspecialize float in OSS (#138922)"
This reverts commit ba5253da9b.

Reverted https://github.com/pytorch/pytorch/pull/138922 on behalf of https://github.com/yf225 due to perf regression on torchbench ([comment](https://github.com/pytorch/pytorch/pull/138922#issuecomment-2499277511))
2024-11-26 00:03:03 +00:00
Bob Ren
ba5253da9b Always unspecialize float in OSS (#138922)
Fixes https://github.com/pytorch/pytorch/issues/107277

Pull Request resolved: https://github.com/pytorch/pytorch/pull/138922
Approved by: https://github.com/ezyang

Co-authored-by: Edward Z. Yang <ezyang@meta.com>
2024-11-24 01:58:13 +00:00
PyTorch MergeBot
a8c90e5140 Revert "Always unspecialize float in OSS (#138922)"
This reverts commit 6d779d0549.

Reverted https://github.com/pytorch/pytorch/pull/138922 on behalf of https://github.com/huydhn due to Sorry for reverting your change but there is some slow tests failing after this land ([comment](https://github.com/pytorch/pytorch/pull/138922#issuecomment-2495076878))
2024-11-22 23:18:36 +00:00
Bob Ren
6d779d0549 Always unspecialize float in OSS (#138922)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/138922
Approved by: https://github.com/ezyang

Co-authored-by: Edward Z. Yang <ezyang@meta.com>
2024-11-22 17:54:42 +00:00
Tugsbayasgalan Manlaibaatar
87f9c1abe5 Change export IR to non-functional pre-dispatch IR (#139511)
Differential Revision: [D65362160](https://our.internmc.facebook.com/intern/diff/D65362160)

State after this IR:
1. For the tests that require inference IR, they are replaced with ep.run_decomp({}) so export_for_training_run_decomp is sort of redundant but i guess it is still nice that multiple round of retracing still working. In general, we need some auditing to reduce our redundant testing coverages.
2. After this PR landed and not get reverted for a week or so, i will replace the export_for_training calls with export as they are the same thing now.
3. Added more tests to also cover now "deprecated" old IR by patching export to use old export. For reviewers, please look at the internal version.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/139511
Approved by: https://github.com/ydwu4, https://github.com/angelayi, https://github.com/avikchaudhuri
2024-11-20 21:47:55 +00:00
PyTorch UpdateBot
2fc692b3dd [audio hash update] update the pinned audio hash (#140860)
This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned audio hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/140860
Approved by: https://github.com/pytorchbot
2024-11-17 03:34:54 +00:00
Mikayla Gawarecki
ca43ecd599 Flip default on weights_only (#137602)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/137602
Approved by: https://github.com/malfet, https://github.com/albanD
ghstack dependencies: #138936, #139221, #139433, #139541
2024-11-04 18:30:29 +00:00
PyTorch UpdateBot
1fad37a023 [audio hash update] update the pinned audio hash (#138402)
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Update the pinned audio hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/138402
Approved by: https://github.com/pytorchbot
2024-10-28 04:04:28 +00:00
Wouter Devriendt
fee2f331ce Update torchbench.txt (#138569)
Fixes #ISSUE_NUMBER

Pull Request resolved: https://github.com/pytorch/pytorch/pull/138569
Approved by: https://github.com/huydhn, https://github.com/malfet
2024-10-23 01:42:25 +00:00
PyTorch UpdateBot
88eb15a3e3 [audio hash update] update the pinned audio hash (#138139)
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Update the pinned audio hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/138139
Approved by: https://github.com/pytorchbot
2024-10-19 04:02:21 +00:00
PyTorch UpdateBot
0067f586ba [audio hash update] update the pinned audio hash (#136968)
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Pull Request resolved: https://github.com/pytorch/pytorch/pull/136968
Approved by: https://github.com/pytorchbot
2024-10-05 04:08:59 +00:00
PyTorch UpdateBot
e1abd346a3 [audio hash update] update the pinned audio hash (#136106)
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Update the pinned audio hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/136106
Approved by: https://github.com/pytorchbot
2024-09-15 04:31:35 +00:00
PyTorch UpdateBot
e3308d835d [audio hash update] update the pinned audio hash (#134632)
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Update the pinned audio hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/134632
Approved by: https://github.com/pytorchbot
2024-08-28 04:16:25 +00:00
drisspg
cdcc7dc891 update comit pin for xla (#133120)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/133120
Approved by: https://github.com/janeyx99
2024-08-12 19:38:37 +00:00
PyTorch UpdateBot
40f8db5741 [audio hash update] update the pinned audio hash (#132105)
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Update the pinned audio hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/132105
Approved by: https://github.com/pytorchbot
2024-07-30 03:39:27 +00:00
PyTorch UpdateBot
68df24f9b6 [xla hash update] update the pinned xla hash (#126672)
This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned xla hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/126672
Approved by: https://github.com/pytorchbot
2024-07-22 11:35:36 +00:00
JackCaoG
24467ba2ec Update pin (#130896)
Test the XLA pin update
Pull Request resolved: https://github.com/pytorch/pytorch/pull/130896
Approved by: https://github.com/anijain2305
2024-07-18 21:04:30 +00:00
PyTorch UpdateBot
7c43f59a45 [audio hash update] update the pinned audio hash (#129429)
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Update the pinned audio hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/129429
Approved by: https://github.com/pytorchbot
2024-07-06 03:34:12 +00:00
PyTorch MergeBot
eea4ece256 Revert "[audio hash update] update the pinned audio hash (#129429)"
This reverts commit 30fc4b06f5.

Reverted https://github.com/pytorch/pytorch/pull/129429 on behalf of https://github.com/jeanschmidt due to pytorch bot should not have allowed this merge, as there are failing jobs ([comment](https://github.com/pytorch/pytorch/pull/129429#issuecomment-2210894639))
2024-07-05 13:38:44 +00:00
PyTorch UpdateBot
30fc4b06f5 [audio hash update] update the pinned audio hash (#129429)
This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned audio hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/129429
Approved by: https://github.com/pytorchbot
2024-07-05 03:32:29 +00:00
Xu Zhao
118f9ceb7c [inductor][ci] Fix torchbench dependency issue with numpy (#128968)
For some reason, pip will always upgrade the numpy version even when an older version has been installed.
We have to lock numpy version to the old version to make this constraint explicit.

Torchbench commit: 23512dbebd

Second attempt to fix #128845

Pull Request resolved: https://github.com/pytorch/pytorch/pull/128968
Approved by: https://github.com/eellison
2024-06-19 12:10:50 +00:00
Xu Zhao
1835e3beab Fix the inductor ci (#128879)
Fix the torchbench+inductor ci on trunk due to recent upgrade to numpy 2.0.0rc1.
We have to remove DALLE2_pytorch model, since it depends on embedding-reader, which is not compatible with numpy>2: https://github.com/rom1504/embedding-reader/blob/main/requirements.txt#L3

Fixes #128845

Pull Request resolved: https://github.com/pytorch/pytorch/pull/128879
Approved by: https://github.com/eellison
2024-06-17 22:20:33 +00:00
eellison
5344c41d43 Use forked torchbench branch with pinned numpy (#128856)
Adds pinned numpy commit to yolov3 dependencies to the existing pinned commit.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/128856
Approved by: https://github.com/huydhn, https://github.com/PaliC
2024-06-17 18:41:42 +00:00
PyTorch MergeBot
ee140a198f Revert "[Port][Quant][Inductor] Bug fix: mutation nodes not handled correctly for QLinearPointwiseBinaryPT2E (#128591)"
This reverts commit 03e8a4cf45.

Reverted https://github.com/pytorch/pytorch/pull/128591 on behalf of https://github.com/atalman due to Contains release only changes should not be landed ([comment](https://github.com/pytorch/pytorch/pull/128591#issuecomment-2168308233))
2024-06-14 15:51:00 +00:00
Xia, Weiwen
03e8a4cf45 [Port][Quant][Inductor] Bug fix: mutation nodes not handled correctly for QLinearPointwiseBinaryPT2E (#128591)
Port #127592 from main to release/2.4

------
Fixes #127402

- Revert some changes to `ir.MutationOutput` and inductor/test_flex_attention.py
- Add checks of mutation for QLinearPointwiseBinaryPT2E

Pull Request resolved: https://github.com/pytorch/pytorch/pull/127592
Approved by: https://github.com/leslie-fang-intel, https://github.com/Chillee

Pull Request resolved: https://github.com/pytorch/pytorch/pull/128591
Approved by: https://github.com/jgong5, https://github.com/Chillee
2024-06-14 09:31:38 +00:00
PyTorch UpdateBot
31c3fa6cf5 [audio hash update] update the pinned audio hash (#128178)
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Pull Request resolved: https://github.com/pytorch/pytorch/pull/128178
Approved by: https://github.com/pytorchbot
2024-06-09 04:29:04 +00:00
PyTorch UpdateBot
2d35b4564a [audio hash update] update the pinned audio hash (#126248)
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Update the pinned audio hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/126248
Approved by: https://github.com/pytorchbot
2024-05-15 05:45:16 +00:00
PyTorch UpdateBot
c0b7b56cf4 [xla hash update] update the pinned xla hash (#126052)
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Update the pinned xla hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/126052
Approved by: https://github.com/pytorchbot
2024-05-13 12:36:51 +00:00
PyTorch UpdateBot
bd2635578b [vision hash update] update the pinned vision hash (#125521)
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Update the pinned vision hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/125521
Approved by: https://github.com/pytorchbot
2024-05-08 15:34:36 +00:00
PyTorch UpdateBot
71bec453b1 [xla hash update] update the pinned xla hash (#124599)
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Update the pinned xla hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/124599
Approved by: https://github.com/pytorchbot
2024-05-06 12:19:42 +00:00
PyTorch UpdateBot
4c84789743 [vision hash update] update the pinned vision hash (#123227)
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Update the pinned vision hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/123227
Approved by: https://github.com/pytorchbot
2024-05-03 05:55:29 +00:00
Avik Chaudhuri
e7846447e0 dynamic shapes builder API (#124898)
This PR introduces a new way of building `dynamic_shapes` for export. The idea is to build up a mapping from input tensors to the dynamic shapes that should be assigned to their corresponding fake tensors.

This mapping is automatically converted to the current form of `dynamic_shapes`, which must exactly match the structure of inputs. We do this by using pytree utils.

With the current `dynamic_shapes`, we had to be careful about user-defined classes that are registered with pytree, since  such classes are not necessarily polymorphic containers; they may be fine containing tensors, but not dynamic shapes. Thus we had decided to allow input instances of such classes to be associated with dynamic shapes in flattened form. This decision needs to be mirrored in this PR as well. To make it easier to keep these code paths in sync, we refactor the current recursive procedure for associating inputs with dynamic shapes to use the same pytree utils. This needs minor fixes to a few tests where `dynamic_shapes` were not exactly matching the structure of inputs.

Differential Revision: D56551992

Pull Request resolved: https://github.com/pytorch/pytorch/pull/124898
Approved by: https://github.com/zhxchen17
2024-04-30 03:59:49 +00:00
PyTorch MergeBot
cc268a710d Revert "AOTAutograd: gate view-replay behind config, not the default (#124488)"
This reverts commit 47330ca133.

Reverted https://github.com/pytorch/pytorch/pull/124488 on behalf of https://github.com/seemethere due to submodule update causes xla to start failing see job on branch: https://github.com/pytorch/pytorch/actions/runs/8789091145/job/24124569508, Dr. CI incorrectly marked this as flaky and allowed the merge ([comment](https://github.com/pytorch/pytorch/pull/124488#issuecomment-2073568651))
2024-04-23 22:21:50 +00:00
Brian Hirsh
47330ca133 AOTAutograd: gate view-replay behind config, not the default (#124488)
Fixes https://github.com/pytorch/pytorch/issues/124499 (I also changed the warn to an info to avoid noise)

That'll take some investigation, but rather than reverting I'm gating the view-replay behind a config that I default to False. To get the behavior back for XLA, can you have `import torch_xla` set this config?

Pull Request resolved: https://github.com/pytorch/pytorch/pull/124488
Approved by: https://github.com/ezyang, https://github.com/Microve
2024-04-23 16:15:50 +00:00
PyTorch UpdateBot
7cd7a7aa8e [xla hash update] update the pinned xla hash (#124042)
This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned xla hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/124042
Approved by: https://github.com/pytorchbot
2024-04-15 10:50:54 +00:00
PyTorch UpdateBot
3a7351bf91 [xla hash update] update the pinned xla hash (#123549)
This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned xla hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/123549
Approved by: https://github.com/pytorchbot
2024-04-08 11:27:18 +00:00
ydwu4
5a66c2d65b Update pytorch/xla pin (#123217)
#123018 introduces a necessary bc breaking change and sees a bunch of xla test failures on CI. We made a pr to pytorch/xla to prepare for the breaking change https://github.com/pytorch/xla/pull/6872. We update the pin of pytorch/xla to reflect the change in this PR.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/123217
Approved by: https://github.com/clee2000
2024-04-03 19:35:15 +00:00
PyTorch UpdateBot
dd8a24b8b7 [xla hash update] update the pinned xla hash (#123078)
This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned xla hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/123078
Approved by: https://github.com/pytorchbot
2024-04-01 11:17:02 +00:00
PyTorch UpdateBot
927bc4b558 [vision hash update] update the pinned vision hash (#122754)
This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned vision hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/122754
Approved by: https://github.com/pytorchbot
2024-03-28 03:27:07 +00:00
PyTorch UpdateBot
c10352a406 [audio hash update] update the pinned audio hash (#122584)
This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned audio hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/122584
Approved by: https://github.com/pytorchbot
2024-03-28 03:26:21 +00:00