docstr: Test that dynamic output is sliced properly to the size known at runtime.
docstr_tok: ["Test","that","dynamic","output","is","sliced","properly","to","the","size","known","at","runtime","."]
code: def test_dynamic_output_tf_op(self):
      """Test that dynamic output is sliced properly to the size known at runtime."""
  
      @def_function.function(jit_compile=True)
      def compiled_f(x):
          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])
          out = compiled_f(z)
          hlo = compiled_f.experimental_get_compiler_ir(z)(
              "hlo_no_metadata"
          )
  
          self.assertFilecheck(
              hlo,
              r"""
            CHECK: f32[<=5]{0} custom-call(f32[10]{0} [[v:.*]]), custom_call_target="GenericTfCallbackGPU"
            CHECK: TestDynamicTf
            """,
          )
          self.assertAllClose(out, z[:2])
          self.assertEqual(len(out), 2)
  
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 7 for calling the LightOutsideCompilationTest obj's underlying member method code with example usage: obj.test_dynamic_output_tf_op() and returns: test_ops_for_light_outside_compilation