code: def test_vectorized_map(self):
      def fn(x):
          return x + 1
  
      output = ops.vectorized_map(
          fn, ops.zeros((2, 3), dtype="float32")
      )
      self.assertAllClose(
          backend.convert_to_numpy(output), np.ones((2, 3))
      )
  
      def fn(x):
          return ops.stack([x, x])
  
      output = ops.vectorized_map(
          fn, ops.zeros((2, 3), dtype="float32")
      )
      self.assertAllClose(
          backend.convert_to_numpy(output), np.zeros((2, 2, 3))
      )
  
      # Case: multiple args
      def fn(elems):
          x, y = elems
          return x + y
  
      output = ops.vectorized_map(
          fn, [ops.ones((2, 3)), ops.ones((2, 3))]
      )
      self.assertAllClose(
          backend.convert_to_numpy(output), 2 * np.ones((2, 3))
      )
  
imports: import contextlib
  import numpy
  import pytest
  from absl.testing import parameterized
  from keras import backend
  from keras import layers
  from keras import losses
  from keras import models
  from keras import ops
  from keras import optimizers
  from keras import testing
  from keras.backend.common.keras_tensor import KerasTensor
  from keras.backend.common.variables import ALLOWED_DTYPES
  from keras.ops import core
label_desc: Use image node_id 17 for calling the CoreOpsCorrectnessTest obj's underlying member method code with example usage: obj.test_vectorized_map() and returns: unknown, ops, unknown