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Hello @tchaton! Thanks for updating this PR. There are currently no PEP 8 issues detected in this Pull Request. Cheers! 🍻 Comment last updated at 2021-03-25 19:32:55 UTC |
Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com>
…ng/lightning-flash into data_pipeline_1_n
LGTM Let's meger it |
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about the middle of reading
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
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not sure how much the test covers real cases as many return values are not checked...
tests/data/test_data_pipeline.py
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# assert preprocess.train_load_data_called | ||
# assert preprocess.train_per_sample_pre_tensor_transform_called | ||
# assert preprocess.train_collate_called | ||
assert preprocess.train_per_batch_transform_on_device_called | ||
# assert preprocess.val_load_data_called | ||
# assert preprocess.val_load_sample_called | ||
# assert preprocess.val_per_sample_to_tensor_transform_called | ||
# assert preprocess.val_collate_called | ||
assert preprocess.val_per_batch_transform_on_device_called | ||
# assert preprocess.test_load_data_called | ||
# assert preprocess.test_per_sample_to_tensor_transform_called | ||
# assert preprocess.test_per_sample_post_tensor_transform_called | ||
# assert preprocess.predict_load_data_called |
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if you do not use these assets, remove them
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Not, it is related to the previous bug. Just a reminder on how to update the test.
What does this PR do?
This PR adds DataPipeline without any changes to the model.
However, as the model need to be changed, it will be done as a hard switch and the following PRs will contain all tasks at once.