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# ExecuTorch MobileNetV2 Demo C++ Application
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This is a simple C++ demo application that uses the ExecuTorch library for MobileNetV2 model inference.
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# ExecutorTorch 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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## Build instructions
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0. Export the model. See [mv2/python/README.md](../python/README.md)
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1. The ExecuTorch repository is already configured as a git submodule at `~/executorch-examples/mv2/cpp/executorch/`. To initialize it:
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1. The ExecuTorch repository is already configured as a git submodule at `~/executorch-examples/cpp/executorch/`. To initialize it:
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```bash
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cd ~/executorch-examples/
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git submodule sync
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- CMake 3.18 or higher
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- C++17 compatible compiler
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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 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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- ExecutorTorch 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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>>>>>>> 54b0238 (MV2 cpp and python example (#13))

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