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_features/mobile.md

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@@ -15,7 +15,6 @@ snippet: >
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Tensor input = Tensor.fromBlob(data, new long[]{1, data.length});
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IValue output = module.forward(IValue.tensor(input));
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float[] scores = output.getTensor().getDataAsFloatArray();
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```
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summary-home: PyTorch supports an end-to-end workflow from Python to deployment on iOS and Android. It extends the PyTorch API to cover common preprocessing and integration tasks needed for incorporating ML in mobile applications.

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