code: def _broadcast_to(array, shape):
      if hasattr(numpy, "broadcast_to"):
          return numpy.broadcast_to(array, shape)
      dummy = numpy.empty(shape, array.dtype)
      return numpy.broadcast_arrays(array, dummy)[0]
  
imports: import numpy
  import six
  import chainer
  from chainer import backend
  from chainer.backends import cuda
  from chainer import function_node
  from chainer.functions.activation import log_softmax
  from chainer.utils import type_check
  from chainer import variable
  import chainerx
label_desc: Use image node_id 1 for calling a global function with example usage: _broadcast_to(array, shape) and returns: numpy, numpy