Comments (3)
bzz
commented on April 29, 2024
1
In case anyone else stumbles upon this or lands though the search - kind people at Apache Beam community have pointed out https://beam.apache.org/documentation/sdks/python-pipeline-dependencies/#nonpython
Adding pip install seqio as a custom command in setup.py and passing that though --setup_file=$PWD/setup.py did the trick.
I'll be happy to submit a doc patch with instructions in case anyone points me to the right place to put it.
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marcospiau
commented on April 29, 2024
1
Just to add another possible solution, after some time trying, what finally worked for me was a combination of setup.py and use of custom docker image for Dataflow workers (https://cloud.google.com/dataflow/docs/guides/using-custom-containers). setup.py is used only to package necessary code for tasks and preprocessors definition, and other requirements (including seqio and t5) can be specified on Dockerfile.
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adarob
commented on April 29, 2024
@bzz please do add these details to the README
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Related Issues (20)
- Please include installation instructions HOT 2
- import seqio
- how to decide ideal mixture rates ? HOT 1
- FunctionDataSource does not allow function with 3 positional arguments thus shuffling does not work HOT 2
- unable to train mt5 from t5x using mixtures ValueError: Dataset is missing an expected feature during input_validation validation: 'inputs' HOT 3
- Tokenizer is not behaving as expected on special tokens (doesn't recognize `pad` and `eos` tokens) HOT 1
- Using a registered task to add another HOT 1
- seqio 0.0.13 cannot be installed on Apple Silicon due to transitive tensorflow dependency of clu HOT 2
- How to apply the huggingface tokenizer in seqio.vocabulary
- Different preprocessors for each dataset split HOT 2
- import seqio: AttributeError: module 'typing' has no attribute 'get_origin' HOT 1
- Concatenating Tasks? HOT 2
- caching tasks goes out of memory due to apache beam HOT 2
- How to choose minimum sequence length while avoiding truncation
- TfdsDataProvider gives error with non-None tfds_data_dir HOT 2
- Dataset performance
- seqio.get_mixture_or_task('bool_q_template_0_no_opt_five_shot') failed
- unimax sampling ?
- ValueError: mutable default <class 'seqio.vocabularies.PassThroughVocabulary'> for field vocabulary is not allowed: use default_factory HOT 3
- Unimax sampler implementation?
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