code: def _tfr_tf_ops_complex(lhs, rhs):
      left_padding, _ = array_ops.SplitV(
          value=lhs, size_splits=[rhs, -1], axis=0, num_split=2
      )
      _, right_padding = array_ops.SplitV(
          value=lhs, size_splits=[rhs, rhs], axis=1, num_split=2
      )
      return [left_padding, right_padding]
  
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 14 for calling a global function with example usage: _tfr_tf_ops_complex(lhs, rhs) and returns: list