code: def testMapDefunWithInvalidInput(self):
      @def_function.function(
          input_signature=[tensor_spec.TensorSpec(None, dtypes.int32)]
      )
      def simple_fn(x):
          return x * 2
  
      c = constant_op.constant(2)
      with self.assertRaises(ValueError):
          # Fails at graph construction time for inputs with known shapes.
          r = map_defun.map_defun(
              simple_fn, [c], [dtypes.int32], [None]
          )[0]
      p = array_ops.placeholder(dtypes.int32)
      r = map_defun.map_defun(simple_fn, [p], [dtypes.int32], [None])[0]
      with session.Session() as sess:
          with self.assertRaises(errors.InvalidArgumentError):
              sess.run(r, feed_dict={p: 0})
  
imports: import time
  from absl.testing import parameterized
  from tensorflow.python.client import session
  from tensorflow.python.data.experimental.ops import map_defun
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import data_flow_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 14 for calling the MapDefunTest obj's underlying member method code with example usage: obj.testMapDefunWithInvalidInput() and returns: unknown