code: def _logical_and(*args):
      """Convenience function which attempts to statically `reduce_all`."""
      args_ = [_static_value(x) for x in args]
      if any(x is not None and not bool(x) for x in args_):
          return constant_op.constant(False)
      if all(x is not None and bool(x) for x in args_):
          return constant_op.constant(True)
      if len(args) == 2:
          return math_ops.logical_and(*args)
      return math_ops.reduce_all(args)
  
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 2 for calling a global function with example usage: _logical_and() and returns: math_ops, constant_op, constant_op, math_ops