Google Open Sources TensorFlow Runtime
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Google has open sourced TensorFlow RunTime (TFRT), a new TensorFlow runtime that aims to provide a unified, extensible infrastructure layer with best-in-class performance across a wide variety of domain-specific hardware. TFRT is responsible for the efficient execution of kernels – low-level device-specific primitives – on targeted hardware.
Read More at TFiR
Google has open sourced TensorFlow RunTime (TFRT), a new TensorFlow runtime that aims to provide a unified, extensible infrastructure layer with best-in-class performance across a wide variety of domain-specific hardware. TFRT is responsible for the efficient execution of kernels – low-level device-specific primitives – on targeted hardware. Read More at TFiR
Google has open sourced TensorFlow RunTime (TFRT), a new TensorFlow runtime that aims to provide a unified, extensible infrastructure layer with best-in-class performance across a wide variety of domain-specific hardware. TFRT is responsible for the efficient execution of kernels – low-level device-specific primitives – on targeted hardware. Read More at TFiR