tuzhucheng opened a new issue, #26330:
URL: https://github.com/apache/beam/issues/26330

   ### What happened?
   
   I am using Apache Beam with GCP Dataflow. I am just doing a straightforward 
`beam.Map`, but encountered the following stacktrace. I've encounter this on 
various versions including as 2.38.0, 2.42.0, 2.43.0 using both dill (both 
0.3.1.1 and 0.3.6) and cloudpickle. On 2.46.0 when using cloudpickle with 
`--save_main_session` enabled, I get a different error with `ModuleNotFound`, 
cannot find module `tensorflow_datasets`.
   
   ```python
     File 
"/opt/venv/lib/python3.9/site-packages/apache_beam/runners/worker/bundle_processor.py",
 line 1198, in create_operation
       return creator(self, transform_id, transform_proto, payload, consumers)
     File 
"/opt/venv/lib/python3.9/site-packages/apache_beam/runners/worker/bundle_processor.py",
 line 1545, in create_par_do
       return _create_pardo_operation(
     File 
"/opt/venv/lib/python3.9/site-packages/apache_beam/runners/worker/bundle_processor.py",
 line 1588, in _create_pardo_operation
       dofn_data = pickler.loads(serialized_fn)
     File 
"/opt/venv/lib/python3.9/site-packages/apache_beam/internal/pickler.py", line 
51, in loads
       return desired_pickle_lib.loads(
     File 
"/opt/venv/lib/python3.9/site-packages/apache_beam/internal/dill_pickler.py", 
line 289, in loads
       return dill.loads(s)
     File "/opt/venv/lib/python3.9/site-packages/dill/_dill.py", line 275, in 
loads
       return load(file, ignore, **kwds)
     File "/opt/venv/lib/python3.9/site-packages/dill/_dill.py", line 270, in 
load
       return Unpickler(file, ignore=ignore, **kwds).load()
     File "/opt/venv/lib/python3.9/site-packages/dill/_dill.py", line 472, in 
load
       obj = StockUnpickler.load(self)
   AttributeError: can't set attribute
   ```
   
   My mapper is like this:
   
   ```python
   def parse_example(serialized_example: str) -> Tuple[str, Dict[str, Any]]:
       import json
       import uuid
   
       example = json.loads(serialized_example)
       uid = example.get("uuid", str(uuid.uuid4()))
       return uid, {
           "uuid": uid,
           "text": example.get("text", "") or "",
           "label": float(example["label"]) if ("label" in example and 
example["label"] is not None) else -1,
       }
   ```
   
   Feature signature is like this:
   
   ```python
   import tensorflow_datasets as tfds
   ....
   {
        "uuid": tfds.features.Text(),
        "label": tfds.features.Scalar(dtype=tf.float32),
   }
   ```
   
   Beam pipeline is like this where `mapping_fn` is `beam.Map(parse_example)`:
   
   ```python
   class TfdsBuilder(tfds.core.GeneratorBasedBuilder):
       def _generate_examples(self, split_dir: str) -> 
tfds.core.split_builder.SplitGenerator:
           return (
               beam.Create(tf.io.gfile.glob(split_dir))
               | beam.io.ReadAllFromText()
               | mapping_fn
           )
   ```
   
   ### Issue Priority
   
   Priority: 2 (default / most bugs should be filed as P2)
   
   ### Issue Components
   
   - [X] Component: Python SDK
   - [ ] Component: Java SDK
   - [ ] Component: Go SDK
   - [ ] Component: Typescript SDK
   - [ ] Component: IO connector
   - [ ] Component: Beam examples
   - [ ] Component: Beam playground
   - [ ] Component: Beam katas
   - [ ] Component: Website
   - [ ] Component: Spark Runner
   - [ ] Component: Flink Runner
   - [ ] Component: Samza Runner
   - [ ] Component: Twister2 Runner
   - [ ] Component: Hazelcast Jet Runner
   - [ ] Component: Google Cloud Dataflow Runner


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