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The backend also generates an `OpenCL` host code that uploads and runs the kernel on the accelerator card.
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Example
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=======
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The following example is a modified version of `hsl4ml example 7 <https://github.com/fastmachinelearning/hls4ml-tutorial/blob/master/part7_deployment.ipynb>`_.
By default the build method generates all the necessary files to run the kernel on the accelerator board. As this can be a long process, there are three build options that target the generation of specific parts of the project:
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* `host`: Compiles the host application
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* `hls`: Produces only the kernel's object file
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* `xclbin`: Produces only the kernel's .xclbin file
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The generated host code application and the xclbin file can be executed as such:
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