code: def _tfr_tf_ops_tensors(x, y, pred):
      if pred:
          return math_ops.Add(x, y)
      else:
          return array_ops.Concat(0, [x, y])
  
imports: import sys
  from tensorflow.compiler.mlir.python.mlir_wrapper import filecheck_wrapper
  from tensorflow.compiler.mlir.tfr.python import composite
  from tensorflow.compiler.mlir.tfr.python.tfr_gen import tfr_gen_from_module
  from tensorflow.compiler.mlir.tfr.resources import gen_test_ops
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import gen_array_ops
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 16 for calling a global function with example usage: _tfr_tf_ops_tensors(x, y, pred) and returns: math_ops, array_ops