code: def reshape(g: jit_utils.GraphContext, input, shape):
      if input not in symbolic_helper._quantized_ops:
          return opset9.reshape(g, input, shape)
  
      kwargs = {
          "Y_scale_f": symbolic_helper._node_get(
              input.node(), "Y_scale"
          ),
          "Y_zero_point_i": symbolic_helper._node_get(
              input.node(), "Y_zero_point"
          ),
      }
      output = g.op("_caffe2::Int8Reshape", input, shape, **kwargs)
      symbolic_helper._quantized_ops.add(output)
      return output
  
imports: import importlib
  import inspect
  from torch.onnx import symbolic_helper, symbolic_opset9
  from torch.onnx._internal import jit_utils, registration
label_desc: Use image node_id 18 for calling a global function with example usage: reshape(g, input, shape) and returns: output, opset9