code: def dali_pipe_artificial_shape(shapes, tf_type, dali_type, batch):
      class TestPipeline(pipeline.Pipeline):
          def __init__(self, **kwargs):
              super(TestPipeline, self).__init__(**kwargs)
              self.constant = ops.Constant(
                  dtype=dali_type, idata=[1, 1], shape=[1, 2, 1]
              )
  
          def define_graph(self):
              return self.constant().gpu()
  
      pipe = TestPipeline(batch_size=batch, seed=0)
      ds = dali_tf.DALIDataset(
          pipe,
          batch_size=batch,
          output_dtypes=tf_type,
          output_shapes=shapes,
      )
      ds_iter = iter(ds)
      for _ in range(10):
          (out,) = ds_iter.next()
          if len(shapes) == 4:
              assert_equals(out.shape, (batch, 1, 2, 1))
          if len(shapes) == 3:
              assert_equals(out.shape, (batch, 1, 2))
          if len(shapes) == 2:
              assert_equals(
                  out.shape,
                  (
                      batch,
                      2,
                  ),
              )
          if len(shapes) == 1:
              assert_equals(out.shape, (2,))
  
imports: import tensorflow
  import nvidia.dali.ops
  import nvidia.dali.pipeline
  import nvidia.dali.plugin.tf
  import nvidia.dali.types
  from test_utils_tensorflow import skip_for_incompatible_tf
  import os
  from nose.tools import assert_equals
  from nose_utils import raises
  import itertools
  import warnings
label_desc: Use image node_id 11 for calling a global function with example usage: dali_pipe_artificial_shape(shapes, tf_type, dali_type, batch) and returns: self