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Update OnnxRuntime to 1.5.2 #5439

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Merged
mstfbl merged 4 commits into from
Oct 20, 2020
Merged

Update OnnxRuntime to 1.5.2 #5439

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b9fcad5
Added prerelease feed and updated to 1.5.2
antoniovs1029 Oct 15, 2020
83868d9
Remove prerelease feed
antoniovs1029 Oct 16, 2020
466bc33
Updated docs
antoniovs1029 Oct 16, 2020
47bfab0
Update doc
antoniovs1029 Oct 19, 2020
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2 changes: 1 addition & 1 deletion build/Dependencies.props
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Expand Up @@ -16,7 +16,7 @@
<GoogleProtobufPackageVersion>3.10.1</GoogleProtobufPackageVersion>
<LightGBMPackageVersion>2.2.3</LightGBMPackageVersion>
<MicrosoftExtensionsPackageVersion>2.1.0</MicrosoftExtensionsPackageVersion>
<MicrosoftMLOnnxRuntimePackageVersion>1.5.1</MicrosoftMLOnnxRuntimePackageVersion>
<MicrosoftMLOnnxRuntimePackageVersion>1.5.2</MicrosoftMLOnnxRuntimePackageVersion>
<MlNetMklDepsPackageVersion>0.0.0.9</MlNetMklDepsPackageVersion>
<ParquetDotNetPackageVersion>2.1.3</ParquetDotNetPackageVersion>
<SystemDrawingCommonPackageVersion>4.5.0</SystemDrawingCommonPackageVersion>
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2 changes: 1 addition & 1 deletion src/Microsoft.ML.OnnxTransformer/OnnxTransform.cs
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Expand Up @@ -739,7 +739,7 @@ public NamedOnnxValue GetNamedOnnxValue()
///
/// To run on a GPU, use the
/// NuGet package [Microsoft.ML.OnnxRuntime.Gpu](https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.Gpu/) instead of the Microsoft.ML.OnnxRuntime nuget (which is for CPU processing). Microsoft.ML.OnnxRuntime.Gpu
/// requires a [CUDA supported GPU](https://developer.nvidia.com/cuda-gpus#compute), the [CUDA 10.1 Toolkit](https://developer.nvidia.com/cuda-downloads), and [cuDNN 7.6.5](https://developer.nvidia.com/cudnn) (as indicated on [Onnxruntime's documentation](https://github.com/Microsoft/onnxruntime#default-gpu-cuda)).
/// requires a [CUDA supported GPU](https://developer.nvidia.com/cuda-gpus#compute), the [CUDA 10.2 Toolkit](https://developer.nvidia.com/cuda-downloads), and [cuDNN 8.0.3](https://developer.nvidia.com/cudnn) (as indicated on [Onnxruntime's documentation](https://github.com/Microsoft/onnxruntime#system-requirements)).
/// When creating the estimator through [ApplyOnnxModel](xref:Microsoft.ML.OnnxCatalog.ApplyOnnxModel*), set the parameter 'gpuDeviceId' to a valid non-negative integer. Typical device ID values are 0 or 1. If the GPU device isn't found but 'fallbackToCpu = true' then the estimator will run on the CPU. If the GPU device isn't found but 'fallbackToCpu = false' then the estimator will throw an exception
///
/// The inputs and outputs of the ONNX models must be Tensor type. Sequence and Maps are not yet supported.
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