Commit graph

17 commits

Author SHA1 Message Date
Rui Ren
1a48099eea
ORT 1.14.0 release -- cherry pick round1 (#14456)
### Description
<!-- Describe your changes. -->
First round cherry pick, total `19` PRs, as below. Please check here for
[Here](https://github.com/microsoft/onnxruntime/issues?q=label%3Arelease%3A1.14+sort%3Aupdated-asc)
for the total list.
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Date | PR | # | Commit # | Short #
-- | -- | -- | -- | --
0 | fix headers for training apis | 14350 |
ea7bbd667d | ea7bbd6
1 | Fix post merge jobs pipeline build issues | 14346 |
ae0e090c7b | ae0e090
2 | support ScatterND(18) and ScatterElement(18) | 14224 |
5d6a049141 | 5d6a049
3 | Exclude a multi-stream case from reduced ops build | 14351 |
36ba3d8d21 | 36ba3d8
4 | Support muP in Attention | 14348 |
668586e8f8 | 668586e
5 | Add memory efficient attention from CUTLASS | 14343 |
414b012f42 | 414b012
6 | Add PyTorch 2.0 to ORT transformer benchmarking | 14300 |
72821a6113 | 72821a6
7 | Misc transformer fixes - 3 | 14320 |
2d8ee5251c | 2d8ee52
8 | Update quantization_defs.cc | 14380 |
de7a868d5f | de7a868
9 | Revert "Allow PostAnalysis@2 task to continue on error for
Windows_Pa… | 14375 | cf3661ff6d | cf3661f
10 | Fix fuzz test | 14385 | f03c507cf0 |
f03c507
11 | support Pad(18) | 14219 | 05915d8393
| 05915d8
12 | Ort openvino 4.3 cli | 14341 |
77b455b969 | 77b455b
13 | cpu to support bitwise ops | 14197 |
7b6d880b28 | 7b6d880
14 | Update ORT format v5 change docs to cover limited backwards
compatibility in 1.14. | 14413 |
3bc092b1ea | 3bc092b
15 | Upgrade CUTLASS to v2.11 and add sequence length threshold for
cutlass FMHA | 14401 | 94b1791974 |
94b1791
16 | Add Col2Im CPU op | 12311 |
32c05fcdd1 | 32c05fc
17 | [DML EP] Upgrade DML to 1.10.1 | 14433 |
edb377f2cb | edb377f
18 | cpu support of LpPool(18) | 14205 |
2b1a59f01a | 2b1a59f



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### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
First round cherry-pick for ORT 1.14.0 release.

---------

Signed-off-by: Liqun Fu <liqfu@microsoft.com>
Co-authored-by: Ashwini Khade <askhade@microsoft.com>
Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com>
Co-authored-by: liqun Fu <liqfu@microsoft.com>
Co-authored-by: RandySheriffH <48490400+RandySheriffH@users.noreply.github.com>
Co-authored-by: Randy Shuai <rashuai@microsoft.com>
Co-authored-by: Ye Wang <52801275+wangyems@users.noreply.github.com>
Co-authored-by: Ubuntu <wy@v100-2.0cdb2e52twzevn1i4fi45bylyg.jx.internal.cloudapp.net>
Co-authored-by: Tianlei Wu <tlwu@microsoft.com>
Co-authored-by: kunal-vaishnavi <115581922+kunal-vaishnavi@users.noreply.github.com>
Co-authored-by: Hariharan Seshadri <shariharan91@gmail.com>
Co-authored-by: Yi Zhang <zhanyi@microsoft.com>
Co-authored-by: Hector Li <hecli@microsoft.com>
Co-authored-by: sfatimar <sahar.fatima@intel.com>
Co-authored-by: Preetha <preetha.veeramalai@intel.com>
Co-authored-by: Thiago Crepaldi <thiago.crepaldi@microsoft.com>
Co-authored-by: Sumit Agarwal <sumitagarwal330@gmail.com>
2023-01-31 14:35:34 -08:00
JiCheng
4f309f05ca
[CPU] Resize of Opset 18 (#13890)
### Description

To Implement Resize 18.
This PR depends on https://github.com/microsoft/onnxruntime/pull/13765.

### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
2023-01-14 08:57:23 +10:00
Scott McKay
ea12b674c0
Disable the failing opset 18 model tests that are breaking the packaging pipeline (#14259)
### Description
<!-- Describe your changes. -->
Skip tests for opset18 models that we haven't implemented kernels for
yet.

Slice was checked in today so those failures should go away.

Resize: #13890 (all resize failures are fixed by this PR as confirmed in
output
[here](https://dev.azure.com/aiinfra/530acbc4-21bc-487d-8cd8-348ff451d2ff/_apis/build/builds/264725/logs/729))
Col2Im: #12311
ScatterND and ScatterElement: #14224
Pad (should also fix CenterCropPad failures): #14219 Bitwise ops: #14197
Optional: Unknown if we're intending to support this in 1.14

Not sure about SoftPlus as that is failing due to `Could not find an
implementation for Exp(1)`. ORT supports Exp from opset 6 and on, and it
seems incorrect for the test model created for opset 18 to be using a
version of Exp that is so old. Would have expected it to use the latest
- Exp(13). @liqunfu is this something that requires a fix to the ONNX
model?


### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
Fix pipeline
2023-01-13 09:55:52 +10:00
Yi Zhang
777c474f61
skip quantized model C# tests on GPU (#13782)
### Description
Skip quantized model C# tests on GPU too.

### Motivation and Context
It looks the current test result isn't reasonable.
https://github.com/onnx/models/issues/581

Once we update the image, the quantized model [test data will be
generated with
VNNI](ba629906dd),
the CI would be broken.
2022-12-01 12:33:20 +08:00
Dmitri Smirnov
0e2087acff
Add extension method to compensate for Contains() absence (#13466)
### Description
The targeted framework does not contain `Contains(string, orginal)`. 
Add extension method to compensate in following the suggestion
[here](https://learn.microsoft.com/en-us/dotnet/api/system.string.contains?view=net-7.0).


### Motivation and Context
Packaging pipeline fails.
2022-10-27 10:00:47 -07:00
Yi Zhang
143725604e
Skip some models failed in Windows CPU C# tests (#13395)
### Description
For models from model zoo, in C# tests of Windows CPU CI
skip models whose name contains int8 or qdq.
skip some models (VGG16, VGG19) in x86 workflow

### Motivation and Context
These models always failed in Windows CPU C# tests 

(https://dev.azure.com/onnxruntime/onnxruntime/_build/results?buildId=789442&view=results)


### verified

https://dev.azure.com/onnxruntime/onnxruntime/_build/results?buildId=789861&view=results
C# tests passed
2022-10-22 13:54:24 +08:00
Yi Zhang
bb16ee712e
skip 2 models in C# test (#13384)
### Description
<!-- Describe your changes. -->



### Motivation and Context

these 2 models are also skipped in gtest

fc12abf6b1/onnxruntime/test/providers/cpu/model_tests.cc (L119-L122)
2022-10-21 09:01:34 +08:00
Yi Zhang
3c08f24efc
uset SearchOption for dotframework (#13321)
### Description
As Title


### Motivation and Context
dotcore has EnumerationOptions but dotnetframewok hasn't

**netframework-4.6.1**

https://learn.microsoft.com/en-us/dotnet/api/system.io.directory.enumeratedirectories?view=netframework-4.6.1#system-io-directory-enumeratedirectories(system-string-system-string-system-io-searchoption)

**net-5.0**

https://learn.microsoft.com/en-us/dotnet/api/system.io.directory.enumeratedirectories?view=net-5.0

It breaks C#.net framework step in Packaging Pipeline

Testing workflow

https://dev.azure.com/aiinfra/Lotus/_build/results?buildId=238516&view=results
2022-10-14 10:22:05 -07:00
Yi Zhang
0d672e9112
Enable C# test load models with more complex directories. (#13251)
### Description
Currently, C# test only load models with the directory structure as
`{modelroot}->{opsetXX}->{modelname}->{.onnx}`
In this PR, C# test can load models from
`{modelroot}->{model-source}->{opsetXX}->{modelname}->{.onnx}`

### Motivation and Context
There're multiple sources of testing models.
1. model zoo (Not in official image)
2. 1st party models
3.  models with contrib-ops
4.  others.

It'd better to insert a mid-directory for new sources.

**This PR is compatible with current models.**
From
https://dev.azure.com/onnxruntime/onnxruntime/_build/results?buildId=776643&view=logs&j=6df8fe70-7b8f-505a-8ef0-8bf93da2bac7&t=e7d9f128-b630-5ee6-a99e-2fca70d04619&l=79
the test result is same as master build `Passed: 583, Skipped: 14,
Total: 597`

**model zoo models (mounted in ..\models\zoo) could be loaded**
And from this test workflow, it can load both existing models and models
from model zoo.

https://dev.azure.com/onnxruntime/onnxruntime/_build/results?buildId=777018&view=logs&j=6df8fe70-7b8f-505a-8ef0-8bf93da2bac7&t=e7d9f128-b630-5ee6-a99e-2fca70d04619
Skipping failed models will be in other PRs
2022-10-12 13:53:58 +08:00
Chun-Wei Chen
6246662b1d
[Dup] Fix SAME_UPPER/SAME_LOWER (auto_pad attribute) in ConvTranspose (#12537)
* Fix SAME_UPPER/SAME_LOWER (auto_pad attribute) in ConvTranspose

* Bump ONNX 1.10.2 globally

* load ONNX_VERSION from VERSION_NUMBER

* /

* revert deprecate warning in ORT 1.12

* add a comment about why removing cntk_simple_seg

* correct the implem in DML as well
2022-08-22 15:35:34 -07:00
Wei-Sheng Chin
0ee0b8cf18
Disable sequence-type tests since C# infra doesn't support well (#12037) 2022-06-30 09:49:03 -07:00
Edward Chen
466b2d9f3d
[C# Tests] Add support for double tensor output in TestPreTrainedModels. (#12008)
Add support for double tensor output in TestPreTrainedModels.
2022-06-27 18:49:19 -07:00
Vincent Wang
3b6cee8059
[CUDA] Optimize Conv and ConvGrad for Training (#10999)
* Optimize Conv and ConvGrad for Training

* add provider option to control

* fix typo
2022-03-29 07:31:36 +08:00
Chun-Wei Chen
bac9c0eb50
skip optional related models from opset16 (#10840) (#10878) 2022-03-16 08:49:42 -07:00
Hariharan Seshadri
0552a47ec2
Enable CUDA provider option configuration for C# (#10188) 2022-01-06 11:03:14 -08:00
Ye Wang
2803a9465d
Add example of registering custom cuda op as shared lib (#10025) 2022-01-05 09:22:15 -08:00
Scott McKay
b5a652c578
Add Xamarin support (#9436)
Add Xamarin support to the ORT nuget packages.
  - Update C# code to support Xamarin builds for iOS and Android
  - refactor some things to split out common code
  - include iOS and Android ORT native shared library in native nuget package
2021-10-27 20:07:07 +10:00