class_docstr: A custom layer to scale the output of a QDense layer which used 'alpha != 1'
  Inference computation uses BatchNormalization methods
class_docstr_tok: ["A","custom","layer","to","scale","the","output","of","a","QDense","layer","which","used","'alpha","!","=","1'","Inference","computation","uses","BatchNormalization","methods"]
code: def add_bias(self, bias, quantizer=None):
      self.add_weights_variable(
          name="bias",
          var_name="b{index}",
          data=bias,
          quantizer=quantizer,
      )
  
imports: import numpy
  import tensorflow
  from hls4ml.model.layers import BatchNormalization, register_layer
  from hls4ml.model.optimizer import ConfigurableOptimizerPass, OptimizerPass, register_pass
  from hls4ml.model.types import FixedPrecisionType, IntegerPrecisionType, NamedType, QKerasPO2Quantizer
label_desc: Use image node_id 3 for calling the ApplyAlpha obj's underlying member method code with example usage: obj.add_bias(bias, quantizer) without return types