code: def test_unsupported_shape_depend_input(self):
      with ops.device("device:{}:0".format(self.device)):
          # Those cases output shapes are dynamic.
          @polymorphic_function.function(jit_compile=True)
          def f2(x):
              return x[x[0] : 0]
  
          args = [ops.convert_to_tensor([1, 2, 3, 4])]
          args_spec = nest.map_structure(
              tensor.TensorSpec.from_tensor, args
          )
          concrete_fn = f2.get_concrete_function(*args_spec)
          _ = compiler_ir.from_concrete_function(concrete_fn)(
              stage="hlo"
          )
  
imports: from tensorflow.compiler.tests import xla_test
  from tensorflow.python.eager.polymorphic_function import compiler_ir
  from tensorflow.python.eager.polymorphic_function import polymorphic_function
  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
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.util import nest
label_desc: Use image node_id 7 for calling the CompilerIrTest obj's underlying member method code with example usage: obj.test_unsupported_shape_depend_input() and returns: x