mirror of
https://github.com/hpcaitech/ColossalAI.git
synced 2025-06-22 05:29:36 +00:00
* Add dpo. Fix sft, ppo, lora. Refactor all * fix and tested ppo * 2 nd round refactor * add ci tests * fix ci * fix ci * fix readme, style * fix readme style * fix style, fix benchmark * reproduce benchmark result, remove useless files * rename to ColossalChat * use new image * fix ci workflow * fix ci * use local model/tokenizer for ci tests * fix ci * fix ci * fix ci * fix ci timeout * fix rm progress bar. fix ci timeout * fix ci * fix ci typo * remove 3d plugin from ci temporary * test environment * cannot save optimizer * support chat template * fix readme * fix path * test ci locally * restore build_or_pr * fix ci data path * fix benchmark * fix ci, move ci tests to 3080, disable fast tokenizer * move ci to 85 * support flash attention 2 * add all-in-one data preparation script. Fix colossal-llama2-chat chat template * add hardware requirements * move ci test data * fix save_model, add unwrap * fix missing bos * fix missing bos; support grad accumulation with gemini * fix ci * fix ci * fix ci * fix llama2 chat template config * debug sft * debug sft * fix colossalai version requirement * fix ci * add sanity check to prevent NaN loss * fix requirements * add dummy data generation script * add dummy data generation script * add dummy data generation script * add dummy data generation script * update readme * update readme * update readme and ignore * fix logger bug * support parallel_output * modify data preparation logic * fix tokenization * update lr * fix inference * run pre-commit --------- Co-authored-by: Tong Li <tong.li352711588@gmail.com>
44 lines
1.0 KiB
Python
Executable File
44 lines
1.0 KiB
Python
Executable File
from abc import ABC, abstractmethod
|
|
from typing import Any
|
|
|
|
from coati.experience_maker.base import Experience
|
|
|
|
|
|
class ExperienceBuffer(ABC):
|
|
"""Experience buffer base class. It stores experience.
|
|
|
|
Args:
|
|
sample_batch_size (int): Batch size when sampling.
|
|
limit (int, optional): Limit of number of experience samples. A number <= 0 means unlimited. Defaults to 0.
|
|
"""
|
|
|
|
def __init__(self, sample_batch_size: int, limit: int = 0) -> None:
|
|
super().__init__()
|
|
self.sample_batch_size = sample_batch_size
|
|
# limit <= 0 means unlimited
|
|
self.limit = limit
|
|
|
|
@abstractmethod
|
|
def append(self, experience: Experience) -> None:
|
|
pass
|
|
|
|
@abstractmethod
|
|
def clear(self) -> None:
|
|
pass
|
|
|
|
@abstractmethod
|
|
def sample(self) -> Experience:
|
|
pass
|
|
|
|
@abstractmethod
|
|
def __len__(self) -> int:
|
|
pass
|
|
|
|
@abstractmethod
|
|
def __getitem__(self, idx: int) -> Any:
|
|
pass
|
|
|
|
@abstractmethod
|
|
def collate_fn(self, batch: Any) -> Experience:
|
|
pass
|