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* Change GPU efficient textcat to use CNN, not BOW If you generate a config with a textcat component using GPU (transformers), the defaut option (efficiency) uses a BOW architecture, which does not use tok2vec features. While that can make sense as part of a larger pipeline, in the case of just a transformer and a textcat, that means the transformer is doing a lot of work for no purpose. This changes it so that the CNN architecture is used instead. It could also be changed to be the same as the accuracy config, which uses the ensemble architecture. * Add the transformer when using a textcat with GPU * Switch ubuntu-latest to ubuntu-20.04 in main tests (#11928) * Switch ubuntu-latest to ubuntu-20.04 in main tests * Only use 20.04 for 3.6 * Require thinc v8.1.7 * Require thinc v8.1.8 * Break up longer expression --------- Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com> |
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| .. | ||
| project | ||
| templates | ||
| __init__.py | ||
| _util.py | ||
| apply.py | ||
| assemble.py | ||
| benchmark_speed.py | ||
| convert.py | ||
| debug_config.py | ||
| debug_data.py | ||
| debug_diff.py | ||
| debug_model.py | ||
| download.py | ||
| evaluate.py | ||
| find_threshold.py | ||
| info.py | ||
| init_config.py | ||
| init_pipeline.py | ||
| package.py | ||
| pretrain.py | ||
| profile.py | ||
| train.py | ||
| validate.py | ||