Fix python3.7 Compatibility #510
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Fixes #509 |
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This looks good. But we should consider, whether we want to continue to support python 3.7. The adapter-transformers version 3.2 we released does not. So "going back" in the supported python version might be confusing. Additionally, python 3.7 is only supported till June this year. It might make more sense to update our documentation and only support version 3.8 or higher. |
hSterz
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Mar 16, 2023
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Aug 5, 2023
Fix resume_from_checkpoint (adapter-hub#514) add initialization of variable so invalid checkpoints throw a understandable error Fix LoRA & (IA)³ implementation for Bart & MBart (adapter-hub#518) Fixes a critical issue in the LoRA & (IA)³ implementation of Bart & MBart, where LoRA & (IA)³ weights were not added to the intermediate and output linear layers of the model's decoder blocks. I.e., adapter configs having intermediate_lora=True or output_lora=True are added incorrectly to (M)Bart models. For LoRA, this does not affect the default config, for (IA)³ it does (intermediate_lora=True). To ensure correct addition of weights in the future, get_adapter() tests are updated to count the number of modules added per adapter. Fix python3.7 Compatibility (adapter-hub#510) Compatibility with python3.8+ and pytorch1.12.1+ Restore compatibility in GPT-2 LoRALinear bias init (adapter-hub#525) Fix compacter init weights (adapter-hub#516) Update doc chapter "Getting Started" (adapter-hub#527) Update version to 3.2.1 Fix Notebook01 Dataset column_rename (adapter-hub#543) Update doc chapter "Adapter Methods" (adapter-hub#535) Do not stale issues labeled as bugs (adapter-hub#550)
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Compatibility with Python 3.7+ an Pytorch 1.12.0+:
src/transformers/adapters/utils.pyso that it remains compatible