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rfcs/20200712-tfrt-kernel-fallback.md

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@@ -572,7 +572,7 @@ No new dependencies.
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* Build / startup time / binary size will be impacted by additional code added
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to implement Kernel Fallback. At the same time one of the goals of Kernel
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Fallback is to provide a lower-binary-size way to run existing TensorFlow
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kernels on mobile.
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kernels on mobile platforms.
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* Code will be maintained by TensorFlow DevInfra and TFRT teams.
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