### Description
1. Update donwload-artifacts to flex-downloadartifacts to make it eaiser
to debug.
2. Move the native files into Gpu.Windows and Gpu-linux packages.
Onnxruntime-Gpu has dependency on them.
3. update the package validation as well
4. Add 2 stages to run E2E test for GPU.Windows and GPU.Linux
for example:
### Motivation and Context
Single Onnxruntime.Gpu Package size has already excceded the Nuget size
limit.
We split the package into some smaller packages to make them can be
published.
For compatibility, the user can install or upgrade Onnxruntime.Gpu,
which will install Gpu.Windows and Gpu.Linux automatically.
And the user can only install Gpu.Windows and Gpu.Linux directly.
### Test Link
1. In ORT_NIGHTLY
2. Install the preview version in nuget-int. (nuget source:
https://apiint.nugettest.org/v3/index.json)
---------
Co-authored-by: Scott McKay <skottmckay@gmail.com>
### Description
* Integrate `trt_multi_gpu` test stage in ORT post merge CI (Win-2xA10
vm)
* Deprecate Linux MultiGPU TRT CI (This vm will be deprecated soon)
* Add multi gpu support to existing C# test cases
* Deprecate unfunctional flag `--enable_multi_device_tests`
### Motivation and Context
* Two contexts of replacing Linux MultiGPU TRT CI:
* Flag `--enable_multi_device_tests` is not functional, which cannot
detect issues like #17036
* The Linux-2xM60 VM of this CI pool is about to be deprecated 9/6/23.
Need to enable this test in other dualGPU vm pool.
### Description
1. rename OrtValue.FillStringTensorElement to StringTensorSetElementAt .
To the API user I think we're conceptually setting the string at an
offset in the tensor with is roughly equivalent to `List<string> list
... list[index] = "value"`.
2. While working on new inference examples, I noticed that I am still
inclined to use `DenseTensor` for N-D indexing. Added `GetStrides()` and
`GetIndex()` from strides for long dims, so the user can obtain strides
and translate N-D indices into a flat index to operate directly on the
native `OrtValue` buffers. Expose these functions to the user.
3. Make sure we generate docs for C# public static functions.
### Description
1. use the pool with VS2022
2. upgrade System.Memory to 4.5.5
### Motivation and Context
Solve the build error while using VS2022:
`[Failure] Msbuild failed when processing the file
'D:\a\_work\1\s\csharp\src\Microsoft.ML.OnnxRuntime\Microsoft.ML.OnnxRuntime.csproj'
with message: Method not found: 'System.ReadOnlySpan`1<Char>
Microsoft.IO.Path.GetFileName(System.ReadOnlySpan`1<Char>)'`
Ref:
https://stackoverflow.com/questions/73399777/azure-build-failing-due-to-method-not-found-system-readonlyspan1char-micros
### Description
1) Added Sequence And Maps convenience APIs to create input Sequences
and Maps
and also visit the outputs.
2) Address OrtValue design issue when the values are created on top of
the
managed memory and the ortValues are used for sequence and maps
creation.
We should retain the original managed instances that keep the memory
pinned.
We opt to keep track of those and dispose of them within an instance of
OrtValue
that represents a Map or a Sequence.
3) Set `LangVersion` to default per [MS Versioning
Docs.](https://learn.microsoft.com/en-us/dotnet/csharp/language-reference/configure-language-version)
### Motivation and Context
1) When writing code examples, use of Map and Sequences API proved to be
cumbersome.
2) It is a BUG, that we should address, as the managed memory can move
by the GC and lead to
intermittent crashes.
3) Make use of the most feature of the C#.
### Description
<!-- Describe your changes. -->
MAUI test app with tooling to add model and generated or provided input
test data.
The app will load the model and validate the output. It can also run a
specified number of iterations to provide basic performance information.
<img width="401" alt="image"
src="https://github.com/microsoft/onnxruntime/assets/979079/daf3af13-fb22-4cbb-9159-486b483a7485">
### 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. -->
Primarily to make it easier to test an arbitrary model on iOS. A MAUI
app allows testing on all platforms.
---------
Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com>
### Description
Introduce `Float16/BFloat16` support for C# and C++ APIs.
User should be able to perform conversions from `float` to/from
`Float16/BFloat16`, compare values and tests for `NaN, Inifnity, and
whether the number is denormalized.`
### Motivation and Context
User filed issues such as:
https://github.com/microsoft/onnxruntime/issues/14303
### Description
Introduce an API that allows users to gain access to a string tensor
element buffer of requested length in bytes
so then can quickly load any utf8 data.
### Motivation and Context
Useful for testing an otherwise.
### Description
Expose `OrtValue` class API as first-class citizen.
Make it simular with C++ API.
Enable safe direct native memory access.
Make string tensor manipulation more efficient.
Avoid intermediate structures such as `NamedOnnxValue`,
`DisposableNamedOnnxvalue` and etc.
Provide more examples with `IOBinding`, although `OrtValue` API
potentially makes `IOBinding` redundant for most of scenarios, since
`OrtValue` can be created on top of any memory.
Run all the pre-trained models now with `OrtValue` API as well.
Obsolete `OrtExternalMemory class`. Obsolete IOBinding API that takes
`FixedBufferOnnxValue`.
### Motivation and Context
Make the API efficient and uniform with C++.
This aspires to address:
https://github.com/microsoft/onnxruntime/issues/14918https://github.com/microsoft/onnxruntime/issues/15381
Cc: @Craigacp
### Description
The PR implements FloatE4M3FN, FloatE5M2, FloatE4MEFNUZ, FloatE5M2FNUZ
as described in PR https://github.com/onnx/onnx/pull/4805. It uses CUDA
API to cast float/half to float8 if CUDA>=11.8, a custom implementation
if CUDA<11.8.
* It implements, Cast, QuantizeLinear, DequantizeLinear for all types on
CPU, only for types FloatE4M3FN, FloatE5M2 on CUDA.
* It extends the supported types for control flow operator, Shape,
Reshape, Identity, If, Loop, Scan, Reshape
* It implements Equal(19).
* Cast, QuantizeLinear, DequantizeLinear operators now support a
parameter `saturate` only valid for float 8 types. It is true by
default. In that case, any value out of range is converted into the
maximum float 8 value. If false, it is infinite.
* QuantizeLinear, DequantizeLinear now supports multiple scales on CUDA
(and ROCm by extension), scale = 1D tensor with one scale per channel
### Motivation and Context
Supports latest onnx version.
Fixes
[AB#15395](https://aiinfra.visualstudio.com/6a833879-cd9b-44a4-a9de-adc2d818f13c/_workitems/edit/15395)
---------
Co-authored-by: Xavier Dupre <xadupre@microsoft.com@orttrainingdev8.d32nl1ml4oruzj4qz3bqlggovf.px.internal.cloudapp.net>
Co-authored-by: Randy Shuai <rashuai@microsoft.com>
Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com>
Co-authored-by: Scott McKay <Scott.McKay@microsoft.com>
### Description
This PR partially reverts changes introduced in
https://github.com/microsoft/onnxruntime/pull/15643
We make two API return std::string always in UTF-8.
We also move the entry points from OrtApiBase to OrtApi to make them
versioned.
### Motivation and Context
`GetVersionString` always returns x.y.z numbers that are not subject to
internationalization.
`GetBuildInfoString` can hold international chars, but UTF-8 should be
fine to contain those.
We prefix them with u8"" in case the compiler default charset is not
UTF-8.
Furthermore, creating platform dependent APIs is discouraged.
`ORTCHAR_T` is platform dependent and was created for paths only.
On non-unix platforms would still produce `std::string` that can only
contain UTF-8
The API was introduced after the latest release, and can still be
adjusted.
### Description
<!-- Describe your changes. -->
Various fixes to the CSharp setup
- fix warnings
- fix invalid tests
- update test sdk nuget package
- enables testing on linux
- fixes issue with some unit tests not running in CI
- run unit tests in linux pipeline using dotnet
### 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. -->
Unit tests weren't breaking in CIs for both Windows and Linux builds and
should have been.
Symbol visibility from DllImport is inconsistent across platforms resulting in the symbol not necessarily being visible to ORT native code that tries to look it up by name.
Best solution is to use DllImport to load the library and to call the registration function directly. That requires the native SessionOptions handle and OrtApiBase struct. We could either make those public, or provide a helper where the user passes in a delegate from their DllImport. Can add when needed.
### Description
<!-- Describe your changes. -->
Disable new test that is failing on linux. Not required for this
release. Will fix in the next week.
Marshal.Prelink can be used on Windows to make the symbol available but
Linux appears to work differently.
Also need to update the pre-checkin tests so this is tested early as
it's only failing in the E2E tests run in the packaging pipeline.
### 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 packaging pipeline error.
### Description
<!-- Describe your changes. -->
Add infrastructure so it's easy for a user to add the ORT extensions
nuget package and register the custom ops for C# apps.
### 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. -->
Need to be able to use extensions on mobile platforms with Xamarin/MAUI
The test limits GPU's running memory requirements to 20MB. It might be
enough in the past, but it seems not enough now when we upgrade CUDA to
a newer version or add more kernels/graph transformers to our code.
Therefore we need to increase it. Our test log shows sometimes the model
needs 128MB memory. So I set the limit to 256MB.
### Description
Reduce a number of auxillary objects created to reduce GC pressure.
Eliminate GCHandle type of memory pinning in most of the places.
Improve string marshalling by allocating unmanaged memory that does not
require pinning. Change native methods from `IntPtr` to `byte[]`
(marshalling pinning is more efficient).
Allocate input/output UTF-8 names in unmanaged heap for the lifetime of
InferenceSession. So we do not keep converting them and pinning on every
Run.
Introduce a new native API that allows to allocate and convert/copy
strings directly into a native tensor.
The PR delivers around 50% latency improvements and less GC pauses.
Inspired by: https://github.com/microsoft/onnxruntime/pull/15520
### Motivation and Context
Client experience GC pressure and performance degradation when dealing
with string tensors.
Co-Authored-By: @tannergooding
### Description
Run clang-format in CI. Formatted all c/c++, objective-c/c++ files.
Excluded
```
'onnxruntime/core/mlas/**',
'onnxruntime/contrib_ops/cuda/bert/tensorrt_fused_multihead_attention/**',
```
because they contain assembly or is data heavy
### Motivation and Context
Coding style consistency
### Description
Implement Optional Type metadata support in the library.
Implement optional support in C# API along with metadata.
Implement Sequence, Map, Optional test data support
and test execution.
Prune tests and provide more details for failing tests in C# code.
Note, this PR does not enable running onnx test models in C++.
### Motivation and Context
Opset18 optional type support.
### Description
Add sbyte specific test case support.
### Motivation and Context
C# Test Data loading code and comparators are missing sbyte (Int8)
specializations.
This fails a test
### Description
Reenable disabled opset18 tests
### 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. -->
### Description
<!-- Describe your changes. -->
Remove exclusions for ONNX model tests that now pass due to kernels
being implemented.
Update ONNX update doc to point to correct location for tests.
### 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. -->
Run as many tests as possible.
Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com>
### 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. -->
### 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
### Description
<!-- Describe your changes. -->
Add ability to set RunOptions config entries. Largely a cut-and-paste of
the existing code for setting SessionOptions config entries.
### 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. -->
#13936
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<li>New feature - Add copy constructor to JsonSerializerSettings</li>
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<ul>
<li>New feature - Add support for DateOnly and TimeOnly</li>
<li>New feature - Add UnixDateTimeConverter.AllowPreEpoch property</li>
<li>New feature - Add copy constructor to JsonSerializerSettings</li>
<li>New feature - Add JsonCloneSettings with property to disable copying
annotations</li>
<li>Change - Add nullable annotation to JToken.ToObject(Type,
JsonSerializer)</li>
<li>Change - Reduced allocations by reusing boxed values</li>
<li>Fix - Fixed MaxDepth when used with ToObject inside of a
JsonConverter</li>
<li>Fix - Fixed deserializing mismatched JToken types in properties</li>
<li>Fix - Fixed merging enumerable content and validate content</li>
<li>Fix - Fixed using $type with arrays of more than two dimensions</li>
<li>Fix - Fixed rare race condition in name table when deserializing on
device with ARM processors</li>
<li>Fix - Fixed deserializing via constructor with ignored base type
properties</li>
<li>Fix - Fixed MaxDepth not being used with ISerializable
deserialization</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="4fba53a324"><code>4fba53a</code></a>
Remove prerelease for 13.0.2</li>
<li><a
href="b15df4b50d"><code>b15df4b</code></a>
Add missing headers</li>
<li><a
href="789bfd3bbc"><code>789bfd3</code></a>
Update to 13.0.2-beta3</li>
<li><a
href="b13717a1c1"><code>b13717a</code></a>
Add JsonCloneSettings to disable copy annotations (<a
href="https://github-redirect.dependabot.com/JamesNK/Newtonsoft.Json/issues/2757">#2757</a>)</li>
<li><a
href="d0a328e8a4"><code>d0a328e</code></a>
Fix MaxDepth not being used with ISerializable deserialization (<a
href="https://github-redirect.dependabot.com/JamesNK/Newtonsoft.Json/issues/2736">#2736</a>)</li>
<li><a
href="aae9284e20"><code>aae9284</code></a>
Update SDK</li>
<li><a
href="bd989708b1"><code>bd98970</code></a>
Update to 13.0.2-beta2</li>
<li><a
href="4dc9af66e0"><code>4dc9af6</code></a>
Add roll forward to global.json (<a
href="https://github-redirect.dependabot.com/JamesNK/Newtonsoft.Json/issues/2726">#2726</a>)</li>
<li><a
href="b8f4ef0f98"><code>b8f4ef0</code></a>
Fixing misspelling (<a
href="https://github-redirect.dependabot.com/JamesNK/Newtonsoft.Json/issues/2698">#2698</a>)</li>
<li><a
href="cb9eed9666"><code>cb9eed9</code></a>
Fix deserializing via constructor with ignored base type properties (<a
href="https://github-redirect.dependabot.com/JamesNK/Newtonsoft.Json/issues/2711">#2711</a>)</li>
<li>Additional commits viewable in <a
href="https://github.com/JamesNK/Newtonsoft.Json/compare/13.0.1...13.0.2">compare
view</a></li>
</ul>
</details>
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This reverts commit 87d5703b14.
### Motivation and Context
There was a bug in Linux CUDA installation.
The OS image is updated.
The TestCUDAProviderOptions could be reenabled.
### Description
This PR enables building nuget packages locally for on device training
using --build_nuget arg.
This PR also enables the C# bindings by default in the managed package.
If a user triggers any training apis when the native binary is not built
for training, an exception with message "Training is disabled in the
current build. Please build ONNXRuntime from source with the build flags
enable_training and enable_training_on_device. " is thrown.
Build command for creating nuget packes for on device training:
build.bat --enable_training --enable_training_on_device --build_nuget
2 Nuget packages are built
1. Microsoft.ML.OnnxRuntime.Managed
2. Microsoft.ML.OnnxRuntime.Training OR
Microsoft.ML.OnnxRuntime.Training.Gpu
### 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. -->
