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21# ExecuTorch MobileNetV2 Demo C++ Application
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43This is a simple C++ demo application that uses the ExecuTorch library for MobileNetV2 model inference.
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6- # ExecutorTorch MobileNetV2 Demo C++ Application
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8- This is a simple C++ demo application that uses the ExecutorTorch library for MobileNetV2 model inference.
9- >>>>>>> 54b0238 (MV2 cpp and python example (#13 ))
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115## Build instructions
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1370 . Export the model. See [ mv2/python/README.md] ( ../python/README.md )
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1691 . The ExecuTorch repository is already configured as a git submodule at ` ~/executorch-examples/mv2/cpp/executorch/ ` . To initialize it:
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18- 1 . The ExecuTorch repository is already configured as a git submodule at ` ~/executorch-examples/cpp/executorch/ ` . To initialize it:
19- >>>>>>> 54b0238 (MV2 cpp and python example (#13 ))
2010 ``` bash
2111 cd ~ /executorch-examples/
2212 git submodule sync
@@ -46,18 +36,9 @@ This is a simple C++ demo application that uses the ExecutorTorch library for Mo
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4737- CMake 3.18 or higher
4838- C++17 compatible compiler
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5039- ExecuTorch library (release/0.6)
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5241# # Notes
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5443- Make sure you have the correct model file (` .pte` ) compatible with ExecuTorch.
5544- This demo currently initializes the input tensor with random data. In a real application, you would replace this with actual input data.
56- =======
57- - ExecutorTorch library (release/0.6)
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59- # # Notes
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61- - Make sure you have the correct model file (` .pte` ) compatible with ExecutorTorch.
62- - This demo currently initializes the input tensor with random data. In a real application, you would replace this with actual input data.
63- >>>>>>> 54b0238 (MV2 cpp and python example (# 13))
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