Topic Brief: This talk showcases multiple performance improvements in TensorFlow 2.2 to accelerate and scale users' ML training workload to ... Leveraging MLIR, it aims to provide a unified, extensible infrastructure layer with ...
Optimize Your Models With Tf Model Optimization Toolkit Tf Dev Summit 20 -
This talk showcases multiple performance improvements in TensorFlow 2.2 to accelerate and scale users' ML training workload to ... Leveraging MLIR, it aims to provide a unified, extensible infrastructure layer with ... Delegates enable TensorFlow Lite to run relevant parts of Neural Networks on other executors.
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- This talk showcases multiple performance improvements in TensorFlow 2.2 to accelerate and scale users' ML training workload to ...
- Leveraging MLIR, it aims to provide a unified, extensible infrastructure layer with ...
- Delegates enable TensorFlow Lite to run relevant parts of Neural Networks on other executors.
- TensorFlow Lite provides tools to apply ML on mobile and edge, and do it in scale.
- This talk presents a profiler that Google internally uses to investigate
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