code: def dequantize(context, node):
      context.quant_context.get_dequantized_var(
          node.inputs[0], node.name
      )
  
imports: import numpy
  import torch
  from coremltools import _logger
  from coremltools.converters.mil.mil import Builder
  from coremltools.converters.mil.mil import Var, types
  from .ops import NUM_TO_TORCH_DTYPE, _create_linear_layer, _get_inputs, promote_input_dtypes
  from .torch_op_registry import register_torch_op
label_desc: Use image node_id 4 for calling a global function with example usage: dequantize(context, node) without return types