ColossalAI/applications/Chat/coati/models/__init__.py

from .base import Actor, Critic, RewardModel
from .lora import LoRAModule, convert_to_lora_module
from .loss import LogExpLoss, LogSigLoss, PolicyLoss, ValueLoss

__all__ = [
    'Actor', 'Critic', 'RewardModel', 'PolicyLoss', 'ValueLoss', 'LogSigLoss', 'LogExpLoss',
    'LoRAModule', 'convert_to_lora_module'
]
[Coati] first commit (#3283) 2023-03-28 12:25:36 +00:00			`from .base import Actor, Critic, RewardModel`
[chat] remove lm model class (#3653) * [chat] refactor lora * [chat] remove lm class * [chat] refactor save model * [chat] refactor train sft * [chat] fix ci * [chat] fix ci 2023-04-27 07:37:38 +00:00			`from .lora import LoRAModule, convert_to_lora_module`
[chat] fix bugs and add unit tests (#4213) * style: rename replay buffer Experience replay is typically for off policy algorithms. Use this name in PPO maybe misleading. * fix: fix wrong zero2 default arg * test: update experience tests * style: rename zero_pad fn * fix: defer init in CycledDataLoader * test: add benchmark test * style: rename internal fn of generation * style: rename internal fn of lora * fix: remove unused loss fn * fix: remove unused utils fn * refactor: remove generate_with_actor fn * fix: fix type annotation * test: add models tests * fix: skip llama due to long execution time * style: modify dataset * style: apply formatter * perf: update reward dataset * fix: fix wrong IGNORE_INDEX in sft dataset * fix: remove DataCollatorForSupervisedDataset * test: add dataset tests * style: apply formatter * style: rename test_ci to test_train * feat: add llama in inference * test: add inference tests * test: change test scripts directory * fix: update ci * fix: fix typo * fix: skip llama due to oom * fix: fix file mod * style: apply formatter * refactor: remove duplicated llama_gptq * style: apply formatter * to: update rm test * feat: add tokenizer arg * feat: add download model script * test: update train tests * fix: modify gemini load and save pretrained * test: update checkpoint io test * to: modify nproc_per_node * fix: do not remove existing dir * fix: modify save path * test: add random choice * fix: fix sft path * fix: enlarge nproc_per_node to avoid oom * fix: add num_retry * fix: make lora config of rm and critic consistent * fix: add warning about lora weights * fix: skip some gpt2 tests * fix: remove grad ckpt in rm and critic due to errors * refactor: directly use Actor in train_sft * test: add more arguments * fix: disable grad ckpt when using lora * fix: fix save_pretrained and related tests * test: enable zero2 tests * revert: remove useless fn * style: polish code * test: modify test args 2023-08-02 02:17:36 +00:00			`from .loss import LogExpLoss, LogSigLoss, PolicyLoss, ValueLoss`
[Coati] first commit (#3283) 2023-03-28 12:25:36 +00:00
[chat] remove lm model class (#3653) * [chat] refactor lora * [chat] remove lm class * [chat] refactor save model * [chat] refactor train sft * [chat] fix ci * [chat] fix ci 2023-04-27 07:37:38 +00:00			`__all__ = [`
[chat] fix bugs and add unit tests (#4213) * style: rename replay buffer Experience replay is typically for off policy algorithms. Use this name in PPO maybe misleading. * fix: fix wrong zero2 default arg * test: update experience tests * style: rename zero_pad fn * fix: defer init in CycledDataLoader * test: add benchmark test * style: rename internal fn of generation * style: rename internal fn of lora * fix: remove unused loss fn * fix: remove unused utils fn * refactor: remove generate_with_actor fn * fix: fix type annotation * test: add models tests * fix: skip llama due to long execution time * style: modify dataset * style: apply formatter * perf: update reward dataset * fix: fix wrong IGNORE_INDEX in sft dataset * fix: remove DataCollatorForSupervisedDataset * test: add dataset tests * style: apply formatter * style: rename test_ci to test_train * feat: add llama in inference * test: add inference tests * test: change test scripts directory * fix: update ci * fix: fix typo * fix: skip llama due to oom * fix: fix file mod * style: apply formatter * refactor: remove duplicated llama_gptq * style: apply formatter * to: update rm test * feat: add tokenizer arg * feat: add download model script * test: update train tests * fix: modify gemini load and save pretrained * test: update checkpoint io test * to: modify nproc_per_node * fix: do not remove existing dir * fix: modify save path * test: add random choice * fix: fix sft path * fix: enlarge nproc_per_node to avoid oom * fix: add num_retry * fix: make lora config of rm and critic consistent * fix: add warning about lora weights * fix: skip some gpt2 tests * fix: remove grad ckpt in rm and critic due to errors * refactor: directly use Actor in train_sft * test: add more arguments * fix: disable grad ckpt when using lora * fix: fix save_pretrained and related tests * test: enable zero2 tests * revert: remove useless fn * style: polish code * test: modify test args 2023-08-02 02:17:36 +00:00			`'Actor', 'Critic', 'RewardModel', 'PolicyLoss', 'ValueLoss', 'LogSigLoss', 'LogExpLoss',`
[chat] remove lm model class (#3653) * [chat] refactor lora * [chat] remove lm class * [chat] refactor save model * [chat] refactor train sft * [chat] fix ci * [chat] fix ci 2023-04-27 07:37:38 +00:00			`'LoRAModule', 'convert_to_lora_module'`
			`]`