text: import onnx
  from .base_operator import QuantOperatorBase
  from ..quant_utils import attribute_to_kwarg, ms_domain, QuantizedValue, QuantizedValueType
  class QGlobalAveragePool(QuantOperatorBase):
      def __init__(self, onnx_quantizer, onnx_node):
          super().__init__(onnx_quantizer, onnx_node)
  
      def quantize(self):
          node = self.node
          assert (node.op_type == "GlobalAveragePool")
  
          # If input to this node is not quantized then keep this node.
          if node.input[0] not in self.quantizer.quantized_value_map:
              return super().quantize()
          quantized_input_value = self.quantizer.quantized_value_map[node.input[0]]
  
          # Create an entry for output quantized value.
          quantized_input_value = self.quantizer.quantized_value_map[node.input[0]]
          data_found, output_scale_name_from_parameter, output_zp_name_from_parameter, _, _ = \
              self.quantizer._get_quantization_params(node.output[0])
          # Just use input scale and zp if parameters for output is not specified.
          output_scale_name = output_scale_name_from_parameter if data_found else quantized_input_value.scale_name
          output_zp_name = output_zp_name_from_parameter if data_found else quantized_input_value.zp_name
          quantized_output_value = QuantizedValue(
              node.output[0], node.output[0] + "_quantized",
              output_scale_name, output_zp_name, quantized_input_value.qType)
          self.quantizer.quantized_value_map[node.output[0]] = quantized_output_value
  
          kwargs = {}
          for attribute in node.attribute:
              kwargs.update(attribute_to_kwarg(attribute))
          kwargs["domain"] = ms_domain
          kwargs["channels_last"] = 0
          qnode_name = node.name + "_quant" if node.name != "" else ""
  
          qnode = onnx.helper.make_node(
              "QLinear" + node.op_type,
              [quantized_input_value.q_name, quantized_input_value.scale_name, quantized_input_value.zp_name, output_scale_name, output_zp_name],
              [quantized_output_value.q_name],
              qnode_name, **kwargs)
          self.quantizer.new_nodes += [qnode]
  