Fix tasks circular import #1296
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jeswan
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@@ Coverage Diff @@
## js/feature/easy_add_model #1296 +/- ##
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+ Coverage 49.82% 49.83% +0.01%
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Files 163 162 -1
Lines 11166 11170 +4
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+ Hits 5563 5567 +4
Misses 5603 5603
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zphang
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Mar 22, 2021
jiant/tasks/evaluate/core.py
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| import jiant.tasks.lib.templates.squad_style.core as squad_style | ||
| import jiant.tasks.lib.templates.squad_style.utils as squad_style_utils | ||
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| from jiant.tasks.retrieval import AbductiveNliTask |
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As discussed, could we remove the individual imports and just do import jiant.tasks.retrieval as tasks retrieval?
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Switched to this style of import.
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* Update to Transformers v4.3.3 (#1266) * use default return_dict in taskmodels and remove hidden state context manager in models. * return hidden states in output of model wrapper * Switch to task model/head factories instead of embedded if-else statements (#1268) * Use jiant transformers model wrapper instead of if-else. Use taskmodel and head factory instead of if-else. * switch to ModelArchitectures enum instead of strings * Refactor get_output_from_encoder() to be member of JiantTaskModel (#1283) * refactor getting output from encoder to be member function of jiant model * switch to explicit encode() in jiant transformers model * fix simple runscript test * update to tokenizer 0.10.1 * Add tests for flat_strip() (#1289) * add flat_strip test * add list to test cases flat_strip * mlm_weights(), feat_spec(), flat_strip() if-else refactors (#1288) * moves remaining if-else statments to jiant model or replaces with model agnostic method * switch from jiant_transformers_model to encoder * fix bug in flat_strip() * Move tokenization logic to central JiantModelTransformers method (#1290) * move model specific tokenization logic to JiantTransformerModels * implement abstract methods for JiantTransformerModels * fix tasks circular import (#1296) * Add DeBERTa (#1295) * Add DeBERTa with sanity test * fix tasks circular import * [WIP] add deberta tests * Revert "fix tasks circular import" This reverts commit f924640. * deberta tests passing with transformers 6472d8 * switch to deberta-v2 * fix get_mlm_weights_dict() for deberta-v2 * update to transformers 4.5.0 * mark deberta test_export as slow * Update test_tokenization_normalization.py * add guide to add a model * fix test_expor_model tests * minor pytest fixes (add num_labels for rte, overnight flag fix) * bugfix for simple api notebook * bugfix for #1310 * bugfix for #1306: simple api notebook path name * squad running * 2nd bugfix for #1310: not all tasks have num_labels property * simple api notebook back to roberta-base * run test matrix for more steps to compare to master * save last/best model test fix Co-authored-by: Jesse Swanson <js11133Wnyu.edu>
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Importing
BatchMixinin primary previously imported all tasks resulting in a circular import withtokenization_normalization(). This PR fixes the circular imports by removingimport *in tasks__init__.py.