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abd58ff82c
# What does this PR do? Reworked the loading logic. Idea is to use cleaner loading code: - Remove need for `no_init_weights` - Remove all weird `bnb_linear` and `load_weights` and `post_load_weights`. New code layout: - New class `Weights` in charge of handling loading the weights from multiple files into appropiate tensors (potentially sharded) - TP layers now are "shells", they contain the code to know what kind of sharding we need + eventual `all_reduce`. They do not inherit from linear, but they contain some kind of Linear instead - the contained linear can be either FastLinear, BnbLinear or GPTq Linear next. - All modeling code is explictly made for sharding, process group is just no-ops for non sharded code (removes a lot of test cases)  --------- Co-authored-by: Ubuntu <ubuntu@ip-172-31-41-161.taildb5d.ts.net> Co-authored-by: Ubuntu <ubuntu@ip-172-31-41-161.ec2.internal> Co-authored-by: OlivierDehaene <olivier@huggingface.co> Co-authored-by: OlivierDehaene <23298448+OlivierDehaene@users.noreply.github.com> |
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| .. | ||
| custom_modeling | ||
| __init__.py | ||
| bloom.py | ||
| causal_lm.py | ||
| flash_causal_lm.py | ||
| flash_llama.py | ||
| flash_neox.py | ||
| flash_rw.py | ||
| flash_santacoder.py | ||
| galactica.py | ||
| gpt_neox.py | ||
| model.py | ||
| opt.py | ||
| rw.py | ||
| santacoder.py | ||
| seq2seq_lm.py | ||
| t5.py | ||
| types.py | ||