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Merged
merged 2 commits into from
Oct 3, 2019
Merged

Added support for running TF based models on GPU in Linux #4277

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cbb886b
Added support for running on GPU in Linux
Oct 2, 2019
8365c30
Changed the NuGet dependency to be conditional based on OS, so we don…
Oct 2, 2019
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5 changes: 4 additions & 1 deletion docs/api-reference/tensorflow-usage.md
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Expand Up @@ -15,6 +15,8 @@ SciSharp.TensorFlow.Redist v1.14.0
### GPU support
GPU based TensorFlow is currently supported on:
* Windows
* Linux
As of now TensorFlow does not support running on GPUs for MacOS, so we cannot support this currently.

#### Prerequisites
You must have at least one CUDA compatible GPU, for a list of compatible GPUs see
Expand All @@ -26,7 +28,8 @@ following [Nvidia's Install guide](https://docs.nvidia.com/cuda/cuda-quick-start
#### Usage
To use TensorFlow with GPU support take a NuGet dependency on the following package depending on your OS:

Windows -> SciSharp.TensorFlow.Redist-Windows-GPU
* Windows -> SciSharp.TensorFlow.Redist-Windows-GPU
* Linux -> SciSharp.TensorFlow.Redist-Linux-GPU

No code modification should be necessary to leverage the GPU for TensorFlow operations.

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5 changes: 5 additions & 0 deletions docs/samples/Microsoft.ML.Samples.GPU/Microsoft.ML.Samples.GPU.csproj
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Expand Up @@ -39,8 +39,13 @@

<ItemGroup>
<PackageReference Include="Microsoft.ML.Onnx.TestModels" Version="$(MicrosoftMLOnnxTestModelsVersion)" />
</ItemGroup>
<ItemGroup Condition=" '$(OS)' == 'Windows_NT'">
<PackageReference Include="SciSharp.TensorFlow.Redist-Windows-GPU" Version="$(TensorFlowVersion)" />
</ItemGroup>
<ItemGroup Condition=" '$(OS)' == 'Unix'">
<PackageReference Include="SciSharp.TensorFlow.Redist-Linux-GPU" Version="$(TensorFlowVersion)" />
</ItemGroup>

<ItemGroup>
<Content Include="$(ObjDir)DnnImageModels\ResNet18Onnx\ResNet18.onnx">
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