'Apply the forward pass transformation to the input data.
Arguments:
inputs (Tensor): input data
inference (bool): is inference only
beta (float, optional): scale to apply to the outputs
Returns:
Tensor: output data'

def fprop(self, inputs, inference=False, beta=0.0):

    self.inputs = inputs
    self.be.fprop_pool(self.nglayer, inputs, self.outputs, self.argmax, beta=beta)
    return self.outputs
