code: def _ones_like(x):
      """Convenience function attempts to statically construct `ones_like`."""
      # Should only be used for small vectors.
      if x.get_shape().is_fully_defined():
          return array_ops.ones(x.get_shape().as_list(), dtype=x.dtype)
      return array_ops.ones_like(x)
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.distributions import distribution
  from tensorflow.python.ops.distributions import identity_bijector
  from tensorflow.python.ops.distributions import util
  from tensorflow.python.util import deprecation
label_desc: Use image node_id 7 for calling a global function with example usage: _ones_like(x) and returns: array_ops, array_ops