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:
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?