Files
ColossalAI/applications/Chat/coati/experience_buffer/base.py
Wenhao Chen da4f7b855f [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 10:17:36 +08:00

44 lines
1.0 KiB
Python

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