cntk.reduceLogSumOnAxes( $x as cntk.variable, $axes as cntk.axis[], [$keep-dims as Boolean], [$name as String] ) as cntk.function
Create an instance of the CNTK built-in LogSum reduction operation on specified tensor input operand along the specified axis
Parameters | |
---|---|
$x | Input tensor. |
$axes | Axes along which the reduction will be performed. |
$keep-dims | Whether to keep dimensions. |
$name | The name of the function instance in the network. |
var inputVariable = cntk.inputVariable(cntk.shape([3]), "float", fn.false(), fn.false(), "feature") cntk.reduceLogSum(inputVariable, cntk.axis(0), ">5KpKUx") => cntk.function(Composite ReduceElements (Input(Name(feature), Shape([3]), Dynamic Axes([Sequence Axis(Default Dynamic Axis), Batch Axis(Default Batch Axis)]))))
Stack Overflow: Get the most useful answers to questions from the MarkLogic community, or ask your own question.