TFRT is a new runtime for TensorFlow. Leveraging MLIR, it aims to provide a unified, extensible infrastructure layer with best-in-class performance across a wide variety of domain specific hardware. This approach provides efficient use of the multithreaded host CPUs, supports fully asynchronous programming models, and is focused on low-level efficiency.
Speaker:
Mingsheng Hong - Senior Staff Software Engineer
Resources:
GitHub → https://goo.gle/2AJGh3L
Check out the blog → https://goo.gle/2KLH3z6
Watch all TensorFlow Dev Summit 2020 sessions → https://goo.gle/TFDS20
Subscribe to the TensorFlow YouTube channel → https://goo.gle/TensorFlow
event: TensorFlow Dev Summit 2020; re_ty: Publish; product: TensorFlow - General; fullname: Mingsheng Hong;
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TFRT: A new TensorFlow runtime (TF Dev Summit '20) | NatokHD