class_docstr: BlackOut loss layer.
  
  .. seealso:: :func:`~chainer.functions.black_out` for more detail.
  
  Args:
      in_size (int): Dimension of input vectors.
      counts (int list): Number of each identifiers.
      sample_size (int): Number of negative samples.
  
  Attributes:
      W (~chainer.Parameter): Weight parameter matrix.
code: def device_resident_accept(self, visitor):
      super(BlackOut, self).device_resident_accept(visitor)
      self.sampler.device_resident_accept(visitor)
  
file_path: chainer/chainer/links/loss/black_out.py
imports: import numpy
  from chainer.functions.loss import black_out
  from chainer import link
  from chainer.utils import walker_alias
  from chainer import variable
label_desc: Use image node_id 2 for calling the BlackOut obj's underlying member method code with example usage: obj.device_resident_accept(visitor) without return types