code: def _fix_bias(self, op, attrs, num_inputs):
          
          if op not in [mx.sym.Convolution, mx.sym.Deconvolution, mx.sym.FullyConnected]:
              return attrs
          if num_inputs == 3:
              attrs['no_bias'] = False
          elif num_inputs == 2:
              attrs['no_bias'] = True
          else:
              raise ValueError("Unexpected number of inputs for: {}".format(op))
          return attrs
docs: A workaround for 'use_bias' attribute since onnx don't provide this attribute,
          we have to check the number of inputs to decide it.