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- # ExecutorTorch MobileNetV2 Demo C++ Application
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+ # ExecuTorch MobileNetV2 Demo C++ Application
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- This is a simple C++ demo application that uses the ExecutorTorch library for MobileNetV2 model inference.
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+ This is a simple C++ demo application that uses the ExecuTorch library for MobileNetV2 model inference.
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## Build instructions
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@@ -36,9 +36,9 @@ This is a simple C++ demo application that uses the ExecutorTorch library for Mo
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- CMake 3.18 or higher
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- C++17 compatible compiler
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- - ExecutorTorch library (release/0.6)
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+ - ExecuTorch library (release/0.6)
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# # Notes
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- - Make sure you have the correct model file (` .pte` ) compatible with ExecutorTorch .
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- - This demo currently initializes the input tensor with random data. In a real application, you would replace this with actual input data.
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+ - Make sure you have the correct model file (` .pte` ) compatible with ExecuTorch .
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+ - This demo currently initializes the input tensor with random data. In a real application, you would replace this with actual input data.
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