code: def forward(self, inputs):
      self.retain_inputs((0,))
      self.retain_outputs((0,))
      (x,) = inputs
      xp = chainer.backend.get_array_module(x)
      detx = xp.linalg.det(x)
      return (detx,)
  
file_path: chainer/chainer/functions/math/det.py
imports: import chainer
  from chainer import function_node
  import chainer.functions
  from chainer.utils import precision
  from chainer.utils import type_check
label_desc: Use image node_id 3 for calling the BatchDet obj's underlying member method code with example usage: obj.forward(inputs) and returns: detx