This class implements a layer that raises each element of the input to the given power.
The activation function is calculated according to the formula:
f(x) = pow(x, GetExponent())
void SetExponent( float exponent );
Sets the power to which the input elements will be raised.
There are no trainable parameters for this layer.
There is only one input, which accepts a data blob of arbitrary size.
There is only one output, which returns a blob of the same size as the input blob. Each element of the output contains the value of the activation function calculated on the corresponding element of the input.