Comments (6)
You are right. It's just solved for the CLI interface. Ill reopen the issues as the current behaviour is still not the expected behaviour.
Meanwhile I'll leave here a snippet on how to run it in a quiet mode and silencing the underlying libraries.
import logging
loggers = [logging.getLogger(name) for name in logging.root.manager.loggerDict]
for logger in loggers:
logger.setLevel(logging.WARNING)
Finally, you can run COMET with progress_bar=False
:
model_output = model.predict(data, batch_size=8, gpus=1, progress_bar=False)
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Both pytorch lightning and transformers are very verbose.
I am adding a --quiet flag that sets all loggers to ERROR level. It will be included in the next release
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@ricardorei thanks for solving this issue a while back.
Is it possible to add it to the documentation, how to actually use this flag? I'm using version 2.0.0 from python and it's not obvious for me how to hide the device printouts.
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Its in the README:
comet-score -s src.de -t hyp1.en -r ref.en --quiet --only_system
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@ricardorei but the issue mentions calling comet from python. So am I. Not the cli
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I'm also getting a pytorch_lightning warning once I implement the code you suggested. Everything else is gone.
PossibleUserWarning: `max_epochs` was not set. Setting it to 1000 epochs. To train without an epoch limit, set `max_epochs=-1`.
rank_zero_warn(
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Related Issues (20)
- [QUESTION] Train UnifiedMetric/XCOMET with word level predictions. HOT 1
- Sparsemax not actually used in COMET-KIWI, XCOMET-XL/XXL HOT 4
- Invalid link reference of reference-free model in readme
- Minimizing cpu RAM vs only use GPU RAM HOT 1
- what is the precision when load_from_checkpoint?
- Runtime error when loading wmt23-cometkiwi-da-xl HOT 1
- Different scores from different COMET package versions 1.1.2 and 2.2.1 HOT 2
- Different versions of COMET code give different scores with the same model and date.
- [QUESTION] large file scoring HOT 3
- [QUESTION] Splitting big models over multiple GPUs HOT 6
- [QUESTION] Memory footprint HOT 21
- [INPUT] Text Length of Input (source, reference, and hypothesis) HOT 2
- Change the global variable logger to comet_logger HOT 1
- Training script for XCOMET HOT 1
- Safetensors Support
- [QUESTION] OOM when load XCOMET-XXL in A100 with 40G memory for prediction HOT 4
- [QUESTION] why num_layers = num_hidden_layers + 1 HOT 1
- [QUESTION] Comet kiwi architecture HOT 11
- Training data and scripts used for wmt22-cometkiwi-da HOT 4
- Add missing library stubs or py.typed marker
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