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prototype_source/mobile_interpreter.rst

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@@ -13,7 +13,7 @@ This application will take advantage of the pre-built interpreter libraries avai
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.. note:: If you see the error message: `PytorchStreamReader failed locating file bytecode.pkl: file not found ()`, likely you are using a torch script model that requires the use of the PyTorch JIT interpreter (a version of our PyTorch interpreter that is not as size-efficient). In order to leverage our efficient interpreter, please regenerate the model by running: `module._save_for_lite_interpreter(${model_path})`.
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- If `bytecode.pkl` is missing, likely the model is generated with the api: `module.save(${model_psth})`.
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- The api `_load_for_lite_interpreter(${model_psth}) can be helpful to validate model with the efficient mobile interpreter.
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- The api `_load_for_lite_interpreter(${model_psth})` can be helpful to validate model with the efficient mobile interpreter.
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Android
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