Int8

To push higher performance during inference computations, recent work has focused on computations that use activations and weights stored a lower precision to achieve higher throughput. Int8 computations offer improved performance over higher-precision types because they enable packing more computations into a single instruction, at the cost of reduced (but acceptable) accuracy.

Workflow

The Quantization describes what kind of quantization model oneDNN supports.

Support

oneDNN supports int8 computations for inference by allowing to specify that primitives input and output memory objects use int8 data types.