Doubts regarding some of the functions about cmsis-nn HOT 2 CLOSED

Hi @sainikitha79 Thanks for the questions..

1. arm_nn_requantize() is a requantization step from 32 bit input into 8 bits. For e.g when you do Multiply Accumulates for a int8 convolution operation, the result is in 32 bits . requantization gets it back to 8 bits and it follows the TensorFlow Lite specification for int8 quantization.
2. 2 and 3 are activation functions for sigmoid and tanh. Those tables are the integer pre-calculated sigmoid values.
3. vmaxq is an Arm Helium Technology intrinsic. https://developer.arm.com/architectures/instruction-sets/intrinsics/#f:@navigationhierarchiessimdisa=[Helium]&q=vmaxq[_s32] . It is applicable for e.g on the latest Arm Cortex-M55 processor with M-Profile Vector Extension(MVE). It performs max of two values in their corresponding lanes of the q or vector register.

from cmsis-nn.

Thank you so much for your explanation.

from cmsis-nn.