Engineer1999 opened a new issue, #25138:
URL: https://github.com/apache/beam/issues/25138

   ### What happened?
   
   I am working with TFX and AIrflow to build the pipeline for image 
classification and segmentation. I am replicating the repo by Jan Marcel 
Kezmann 
([Link](https://github.com/JanMarcelKezmann/Apache-Airflow-Beam-TensorFlow-Examples)).
 While executing the classification_dag.py in dags/classification_pipeline and 
segmentation_dag.py in dags/segmentation_pipeline, I am getting a runtime 
error. Error message is mentioned below.
   
   `
   [2023-01-23, 10:55:37 UTC] {taskinstance.py:1889} ERROR - Task failed with 
exception
   Traceback (most recent call last):
     File 
"/home/bhargavpatel/anaconda3/envs/ic_pipeline/lib/python3.7/site-packages/airflow/operators/python.py",
 line 171, in execute
       return_value = self.execute_callable()
     File 
"/home/bhargavpatel/anaconda3/envs/ic_pipeline/lib/python3.7/site-packages/airflow/operators/python.py",
 line 189, in execute_callable
       return self.python_callable(*self.op_args, **self.op_kwargs)
     File 
"/home/bhargavpatel/anaconda3/envs/ic_pipeline/lib/python3.7/site-packages/tfx/orchestration/airflow/airflow_component.py",
 line 76, in _airflow_component_launcher
       launcher.launch()
     File 
"/home/bhargavpatel/anaconda3/envs/ic_pipeline/lib/python3.7/site-packages/tfx/orchestration/launcher/base_component_launcher.py",
 line 209, in launch
       copy.deepcopy(execution_decision.exec_properties))
     File 
"/home/bhargavpatel/anaconda3/envs/ic_pipeline/lib/python3.7/site-packages/tfx/orchestration/launcher/in_process_component_launcher.py",
 line 74, in _run_executor
       copy.deepcopy(input_dict), output_dict, copy.deepcopy(exec_properties))
     File 
"/home/bhargavpatel/anaconda3/envs/ic_pipeline/lib/python3.7/site-packages/tfx/components/transform/executor.py",
 line 586, in Do
       TransformProcessor().Transform(label_inputs, label_outputs, status_file)
     File 
"/home/bhargavpatel/anaconda3/envs/ic_pipeline/lib/python3.7/site-packages/tfx/components/transform/executor.py",
 line 1145, in Transform
       make_beam_pipeline_fn)
     File 
"/home/bhargavpatel/anaconda3/envs/ic_pipeline/lib/python3.7/site-packages/tfx/components/transform/executor.py",
 line 1526, in _RunBeamImpl
       output_path=dataset.materialize_output_path))
     File 
"/home/bhargavpatel/anaconda3/envs/ic_pipeline/lib/python3.7/site-packages/apache_beam/pipeline.py",
 line 597, in __exit__
       self.result = self.run()
     File 
"/home/bhargavpatel/anaconda3/envs/ic_pipeline/lib/python3.7/site-packages/apache_beam/pipeline.py",
 line 574, in run
       return self.runner.run_pipeline(self, self._options)
     File 
"/home/bhargavpatel/anaconda3/envs/ic_pipeline/lib/python3.7/site-packages/apache_beam/runners/direct/direct_runner.py",
 line 131, in run_pipeline
       return runner.run_pipeline(pipeline, options)
     File 
"/home/bhargavpatel/anaconda3/envs/ic_pipeline/lib/python3.7/site-packages/apache_beam/runners/portability/fn_api_runner/fn_runner.py",
 line 201, in run_pipeline
       options)
     File 
"/home/bhargavpatel/anaconda3/envs/ic_pipeline/lib/python3.7/site-packages/apache_beam/runners/portability/fn_api_runner/fn_runner.py",
 line 212, in run_via_runner_api
       return self.run_stages(stage_context, stages)
     File 
"/home/bhargavpatel/anaconda3/envs/ic_pipeline/lib/python3.7/site-packages/apache_beam/runners/portability/fn_api_runner/fn_runner.py",
 line 443, in run_stages
       runner_execution_context, bundle_context_manager, bundle_input)
     File 
"/home/bhargavpatel/anaconda3/envs/ic_pipeline/lib/python3.7/site-packages/apache_beam/runners/portability/fn_api_runner/fn_runner.py",
 line 776, in _execute_bundle
       bundle_manager))
     File 
"/home/bhargavpatel/anaconda3/envs/ic_pipeline/lib/python3.7/site-packages/apache_beam/runners/portability/fn_api_runner/fn_runner.py",
 line 1000, in _run_bundle
       data_input, data_output, input_timers, expected_timer_output)
     File 
"/home/bhargavpatel/anaconda3/envs/ic_pipeline/lib/python3.7/site-packages/apache_beam/runners/portability/fn_api_runner/fn_runner.py",
 line 1393, in process_bundle
       for ix, part in enumerate(input.partition(self._num_workers)):
   AttributeError: 'NoneType' object has no attribute 'partition'
   [2023-01-23, 10:55:37 UTC] {taskinstance.py:1400} INFO - Marking task as 
FAILED. dag_id=segmentation_dag, task_id=Transform, 
execution_date=20230123T052420, start_date=20230123T052509, 
end_date=20230123T052537
   [2023-01-23, 10:55:37 UTC] {standard_task_runner.py:97} ERROR - Failed to 
execute job 43 for task Transform ('NoneType' object has no attribute 
'partition'; 42847)
   [2023-01-23, 10:55:37 UTC] {local_task_job.py:156} INFO - Task exited with 
return code 1
   [2023-01-23, 10:55:37 UTC] {local_task_job.py:273} INFO - 0 downstream tasks 
scheduled from follow-on schedule check
   `
   
   Airflow Dag is as below [Segmentation 
Dag](https://i.stack.imgur.com/FIQC8.png)
   
   I tried to check multiple versions of Airflow and TFX. I believe this error 
is due to incompatible versions as the error is coming from the executor of the 
transform component and airflow. Before the dag execution, I compiled the 
individual module and have not found any errors in them.
   
   Versions TFX:- 1.12.0 Tensorflow:- 2.11.0 Airflow:- 2.3.0
   
   ### Issue Priority
   
   Priority: 3 (minor)
   
   ### Issue Components
   
   - [X] Component: Python SDK
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   - [X] Component: Beam examples
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   - [ ] Component: Google Cloud Dataflow Runner


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