docstr: Test dynamic input => returns bad status at runtime.
docstr_tok: ["Test","dynamic","input","=",">","returns","bad","status","at","runtime","."]
code: def test_dynamic_input(self):
      """Test dynamic input => returns bad status at runtime."""
  
      @def_function.function(jit_compile=True)
      def compiled_f(x):
          x = array_ops.unique(x).y
          return test_ops_for_light_outside_compilation.test_dynamic_tf(
              x, max_size=5
          )
  
      with context.device("/gpu:0"):
          z = random_ops.random_normal([10])
  
          with self.assertRaisesRegex(
              ValueError, "Input dynamic dimensions are not supported"
          ):
              compiled_f.experimental_get_compiler_ir(z)()
  
imports: from tensorflow.compiler.mlir.python.mlir_wrapper import filecheck_wrapper
  from tensorflow.compiler.tf2xla import test_ops_for_light_outside_compilation
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.platform import googletest
  from tensorflow.python.platform import test
label_desc: Use image node_id 8 for calling the LightOutsideCompilationTest obj's underlying member method code with example usage: obj.test_dynamic_input() and returns: test_ops_for_light_outside_compilation