'Apply the forward pass transformation to the input data.
May skip any computation not needed for doing inference only.
Calling bprop subsequently is not valid.
Arguments:
inputs (Tensor): input data
Returns:
Tensor: output data'

def _fprop_inference(self, inputs):

    if (not self.caffe_mode):
        self.outputs[:] = (inputs * self.keep)
    return self.outputs
