parameters: (node, **kwargs)
return_statement: return [node]
docstring: Map MXNet's InstanceNorm operator attributes to onnx's InstanceNormalization operator
      based on the input node's attributes and return the created node.
docstring_summary: Map MXNet's InstanceNorm operator attributes to onnx's InstanceNormalization operator
      based on the input node's attributes and return the created node.
docstring_tokens: Map MXNet s InstanceNorm operator attributes to onnx s InstanceNormalization operator based on the input node s attributes and return the created node .
function: def convert_instancenorm(node, **kwargs):
      """Map MXNet's InstanceNorm operator attributes to onnx's InstanceNormalization operator
      based on the input node's attributes and return the created node.
      """
      name, input_nodes, attrs = get_inputs(node, kwargs)
  
      eps = float(attrs.get("eps", 0.001))
  
      node = onnx.helper.make_node(
          'InstanceNormalization',
          inputs=input_nodes,
          outputs=[name],
          name=name,
          epsilon=eps)
  
      return [node]
function_tokens: def convert_instancenorm ( node , * * kwargs ) : name , input_nodes , attrs = get_inputs ( node , kwargs ) eps = float ( attrs . get ( "eps" , 0.001 ) ) node = onnx . helper . make_node ( 'InstanceNormalization' , inputs = input_nodes , outputs = [ name ] , name = name , epsilon = eps ) return [ node ]