ColossalAI/applications/ColossalChat/coati/experience_buffer/base.py
YeAnbang df5e9c53cf
[ColossalChat] Update RLHF V2 (#5286)
* 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

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Co-authored-by: Tong Li <tong.li352711588@gmail.com>
2024-03-29 14:12:29 +08:00

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