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Bump ONNXRuntime version (dotnet#3837)
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build/Dependencies.props

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@@ -15,7 +15,7 @@
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<GoogleProtobufPackageVersion>3.5.1</GoogleProtobufPackageVersion>
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<LightGBMPackageVersion>2.2.3</LightGBMPackageVersion>
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<MicrosoftExtensionsPackageVersion>2.1.0</MicrosoftExtensionsPackageVersion>
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<MicrosoftMLOnnxRuntimePackageVersion>0.3.0</MicrosoftMLOnnxRuntimePackageVersion>
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<MicrosoftMLOnnxRuntimePackageVersion>0.4.0</MicrosoftMLOnnxRuntimePackageVersion>
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<MlNetMklDepsPackageVersion>0.0.0.9</MlNetMklDepsPackageVersion>
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<ParquetDotNetPackageVersion>2.1.3</ParquetDotNetPackageVersion>
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<SystemDrawingCommonPackageVersion>4.5.0</SystemDrawingCommonPackageVersion>

src/Microsoft.ML.DnnImageFeaturizer.ResNet18/ResNet18Extension.cs

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/// <summary>
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/// This allows a custom model location to be specified. This is useful is a custom model is specified,
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/// or if the model is desired to be placed or shipped separately in a different folder from the main application. Note that because Onnx models
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/// must be in a directory all by themsleves for the OnnxTransformer to work, this method appends a ResNet18Onnx/ResNetPrepOnnx subdirectory
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/// or if the model is desired to be placed or shipped separately in a different folder from the main application. Note that because ONNX models
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/// must be in a directory all by themselves for the OnnxTransformer to work, this method appends a ResNet18Onnx/ResNetPrepOnnx subdirectory
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/// to the passed in directory to prevent having to make that directory manually each time.
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/// </summary>
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public static EstimatorChain<ColumnCopyingTransformer> ResNet18(this DnnImageModelSelector dnnModelContext, IHostEnvironment env, string outputColumnName, string inputColumnName, string modelDir)

src/Microsoft.ML.OnnxTransformer/OnnxTransform.cs

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/// | Output column data type | The same data type as the input column |
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/// | Required NuGet in addition to Microsoft.ML | Microsoft.ML.OnnxTransformer |
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///
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/// Supports inferencing of models in ONNX 1.2 and 1.3 format (opset 7, 8 and 9), using the
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/// Supports inferencing of models in ONNX 1.2, 1.3, 1.4, and 1.5 format (opset 7, 8, 9, and 10), using the
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/// [Microsoft.ML.OnnxRuntime](https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime/) library.
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/// Models are scored on CPU by default. If GPU execution is needed (optional), use the
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/// NuGet package available at [Microsoft.ML.OnnxRuntime.Gpu](https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.Gpu/)

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