'Apply the forward pass transformation to the input data.
Arguments:
inputs (Tensor): input data
inference (bool): is inference only
beta (int):  (Default value = 0.0)
Returns:
Tensor: output data'

def fprop(self, inputs, inference=False):

    self.init_buffers(inputs)
    self.outputs.fill(0)
    for x in self.xs:
        self.outputs[:] = (self.outputs + (self.sumscale * x))
    return self.outputs
