code: def test_creates_1d_kernel(self):
      expected_kernel = tf.transpose(
          [
              [[0, 3, 0], [0, 0, 0], [0, 0, 0]],
              [[0, 0, 0], [0, 3, 0], [0, 0, 0]],
              [[0, 0, 0], [0, 0, 0], [0, 3, 0]],
              [[0, 0, 0], [0, 0, 0], [0, 0, 0]],
          ],
          (2, 0, 1),
      )
      kernel = initializers.IdentityInitializer(gain=3)(
          (3, 4, 3), dtype=tf.int32
      )
      self.assertAllEqual(expected_kernel, kernel)
  
imports: import tensorflow
  from tensorflow_compression.python.layers import initializers
label_desc: Use image node_id 1 for calling the InitializerTest obj's underlying member method code with example usage: obj.test_creates_1d_kernel() without return types