Hi,

When quantifying my own model, I was confused about what l_shift and r_shift.

I have converted the float32 number to an 8-bit q format fix-number.

and get int_bits and dec_bits of weights and bias.

maybe 2 numbers is enough: weights_dec_bits and bias_dec_bits. (weights_int_bits = 7-weights_dec_bits; and bias_int_bits = 7-bias_dec_bits;)

However, OpenMV’s network stores l_shift and r_shift:

https://github.com/openmv/openmv/blob/master/src/omv/nn/nn.c#L150

OpenMV read l_shift and r_shift in CONV and IP layers.

I saw the code in https://github.com/openmv/openmv/blob/master/ml/cmsisnn/nn_quantizer.py#L564

But I don’t know what l_shift and r_shift are, and how to calculate it.

Could you help me?