code: def forward(self, inputs, device):
      (x,) = inputs
      mean = device.send_array(self.mean.copy())
      projection = device.send_array(self.projection.copy())
      return (
          functions.fixed_decorrelated_batch_normalization(
              x, mean, projection, groups=self.groups
          ),
      )
  
imports: import numpy
  from chainer import functions
  from chainer import testing
label_desc: Use image node_id 3 for calling the TestFixedDecorrelatedBatchNormalization obj's underlying member method code with example usage: obj.forward(inputs, device) and returns: functions