code: def testInt32_shapes(self):
      inp0 = constant_op.constant(
          [10, 20, 30, 40, 50, 60], shape=[2, 3]
      )
      inp1 = constant_op.constant(
          [11, 21, 31, 41, 51, 61], shape=[3, 2]
      )
      inp2 = constant_op.constant(
          [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15],
          shape=[5, 3],
      )
      value0, value1, value2 = self.evaluate(
          array_ops.identity_n([inp0, inp1, inp2])
      )
  
      self.assertAllEqual(
          np.array([[10, 20, 30], [40, 50, 60]]), value0
      )
      self.assertAllEqual(
          np.array([[11, 21], [31, 41], [51, 61]]), value1
      )
      self.assertAllEqual(
          np.array(
              [
                  [1, 2, 3],
                  [4, 5, 6],
                  [7, 8, 9],
                  [10, 11, 12],
                  [13, 14, 15],
              ]
          ),
          value2,
      )
  
file_path: tensorflow/tensorflow/python/kernel_tests/array_ops/identity_n_op_py_test.py
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.ops import array_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the IdentityNOpTest obj's underlying member method code with example usage: obj.testInt32_shapes() without return types