class_docstr: Independent distribution.
  
  Args:
      distribution (:class:`~chainer.Distribution`): The base distribution
          instance to transform.
      reinterpreted_batch_ndims (:class:`int`): Integer number of rightmost
          batch dims which will be regarded as event dims. When ``None`` all
          but the first batch axis (batch axis 0) will be transferred to
          event dimensions.
code: def sample_n(self, n):
      return self.distribution.sample_n(n)
  
imports: import numpy
  from chainer.backend import cuda
  from chainer import distribution
  from chainer.functions.array import repeat
  from chainer.functions.array import reshape
  from chainer.functions.array import transpose
  from chainer.functions.math import prod
  from chainer.functions.math import sum
  from chainer.utils import array
  from chainer.utils import cache
label_desc: Use image node_id 18 for calling the Independent obj's underlying member method code with example usage: obj.sample_n(n) and returns: self