code: def make_hidden(self, batchsize):
      return numpy.random.uniform(
          -1, 1, (batchsize, self.n_hidden, 1, 1)
      ).astype(numpy.float32)
  
file_path: tensorboardX/examples/chainer/extension_logger/net.py
imports: from __future__ import print_function
  import numpy
  import chainer
  from chainer import cuda
  import chainer.functions
  import chainer.links
label_desc: Use image node_id 2 for calling the Generator obj's underlying member method code with example usage: obj.make_hidden(batchsize) and returns: numpy