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   $x as cntk:variable,
   $axis as cntk:axis,
   $name as xs:string
) as cntk:function


Create an instance of the CNTK built-in softmax operation on specified axis on a specified tensor input operand

$x Numpy array or any Function that outputs a tensor.
$axis Axis along which the softmax operation will be performed.
$name The name of the function instance in the network.


  let $input-variable1 := cntk:input-variable(cntk:shape((3)), "float",
    fn:false(), fn:false(), "feature")
  let $input-variable2 := cntk:input-variable(cntk:shape((3)), "float",
    fn:false(), fn:false(), "feature")
  return cntk:softmax-on-axis($input-variable2, cntk:axis(0), "5hO")
  => cntk:function(Composite Softmax (Input(Name(feature), Shape([3]),
  Dynamic Axes([Sequence Axis(Default Dynamic Axis), Batch Axis(Default Batch Axis)]))))

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