original_docstring: Map MXNet's SoftmaxOutput operator attributes to onnx's Softmax operator
      and return the created node.
      
docstring: Map MXNet's SoftmaxOutput operator attributes to onnx's Softmax operator
  and return the created node.
docstring_tokens: Map MXNet ' s SoftmaxOutput operator attributes to onnx ' s Softmax operator and return the created node .
code: def convert_softmax_output(node, **kwargs):
      """Map MXNet's SoftmaxOutput operator attributes to onnx's Softmax operator
      and return the created node.
      """
      onnx = import_onnx_modules()
      inputs = node["inputs"]
      input1_idx = kwargs["index_lookup"][inputs[0][0]]
      proc_nodes = kwargs["proc_nodes"]
      input1 = proc_nodes[input1_idx]
      name = node["name"]
  
      softmax_node = onnx.helper.make_node(
          "Softmax",
          [input1.output[0]],
          [name],
          axis=1,
          name=name
      )
  
      return [softmax_node]
code_tokens: def convert_softmax_output ( node , ** kwargs ) : onnx = import_onnx_modules ( ) inputs = node [ "inputs" ] input1_idx = kwargs [ "index_lookup" ] [ inputs [ 0 ] [ 0 ] ] proc_nodes = kwargs [ "proc_nodes" ] input1 = proc_nodes [ input1_idx ] name = node [ "name" ] softmax_node = onnx . helper . make_node ( "Softmax" , [ input1 . output [ 0 ] ] , [ name ] , axis = 1 , name = name ) return [ softmax_node ]
short_docstring: Map MXNet's SoftmaxOutput operator attributes to onnx's Softmax operator
  and return the created node.
short_docstring_tokens: Map MXNet ' s SoftmaxOutput operator attributes to onnx ' s Softmax operator and return the created node .
comment: """Map MXNet's SoftmaxOutput operator attributes to onnx's Softmax operator
      and return the created node.
      """