mirror of https://github.com/InternLM/InternLM
678 lines
23 KiB
Python
678 lines
23 KiB
Python
#!/usr/bin/env python
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# -*- encoding: utf-8 -*-
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import asyncio
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import concurrent.futures
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import hashlib
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import io
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import os
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import pickle
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import re
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import socket
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import stat
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from asyncio import InvalidStateError
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from asyncio.tasks import ALL_COMPLETED
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from datetime import datetime
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from typing import Any, Awaitable, Callable, Dict, List, Union
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import torch
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import torch.distributed as dist
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from internlm.core.context import global_context as gpc
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from internlm.utils.common import SingletonMeta
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from internlm.utils.logger import get_logger
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try:
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import boto3
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import botocore
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except ImportError:
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pass
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logger = get_logger(__file__)
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boto3_url_re = re.compile(r"([^\.]+)\.([\d\.]+)")
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MB = 1024**2
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storage_manager = None
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def check_folder(fp: str):
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storage_manager.assert_fp_exists(fp)
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def get_fns(fp: str):
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return storage_manager.get_fns(fp)
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def llm_load(fp: str, **kwargs):
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return storage_manager.load(fp, **kwargs)
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def llm_save(save_path: str, saved_obj: Any, **kwargs):
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storage_manager.save(save_path, to_save_obj=saved_obj, **kwargs)
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class StorageClient:
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"""
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StorageClient as a client for s3 storage access.
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"""
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def __init__(self, handler) -> None:
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self.handler = handler
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@staticmethod
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def load(*args, **kwargs):
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raise NotImplementedError
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@staticmethod
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def sync_upload_fileobj(*args, **kwargs):
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raise NotImplementedError
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@staticmethod
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def async_upload_fileobj(*args, **kwargs):
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raise NotImplementedError
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@staticmethod
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def assert_fp_exists(*args, **kwargs):
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raise NotImplementedError
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@staticmethod
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def get_fns(*args, **kwargs):
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raise NotImplementedError
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class Boto3MetaInfo:
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"""Boto3 meta info for save/load etc."""
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def __init__(
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self,
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is_async,
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handler: StorageClient,
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bucket_name: str,
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endpoint: str,
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file_path: str,
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async_upload_fn: callable,
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local_nvme_path=None,
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) -> None:
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# all need info.
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self.client = handler
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self.bucket_name = bucket_name
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self.file_path = file_path
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# only save need info.
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self.local_nvme_path = local_nvme_path
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self.is_async = is_async
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self.endpoint = endpoint
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self.async_upload_fn = async_upload_fn
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def __str__(self) -> str:
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return f"is_async: {self.is_async}, bucket_name:{self.bucket_name}, endpoint:{self.endpoint}, \
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local_nvme_path: {self.local_nvme_path}"
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@staticmethod
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def unpack_boto3_save_meta(meta):
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if meta.is_async:
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return meta.client, meta.bucket_name, meta.file_path, meta.local_nvme_path
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else:
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return meta.client, meta.bucket_name, meta.file_path
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@staticmethod
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def unpack_boto3_nosave_meta(meta):
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return meta.client, meta.bucket_name, meta.file_path
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class LocalMetaInfo:
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"""Local meta info for save/load etc."""
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def __init__(self, file_path: str) -> None:
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self.file_path = file_path
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self.async_upload_fn = None
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self.is_async = False
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@staticmethod
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def unpack_local_save_meta(meta):
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return (meta.file_path,)
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@staticmethod
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def unpack_local_nosave_meta(meta):
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return (meta.file_path,)
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def unpack_save_meta(meta: Union[Boto3MetaInfo, LocalMetaInfo]):
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if isinstance(meta, Boto3MetaInfo):
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return Boto3MetaInfo.unpack_boto3_save_meta(meta)
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elif isinstance(meta, LocalMetaInfo):
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return LocalMetaInfo.unpack_local_save_meta(meta)
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else:
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raise ValueError(f"unkonwn meta info: {type(meta)}")
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def unpack_nosave_meta(meta: Union[Boto3MetaInfo, LocalMetaInfo]):
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if isinstance(meta, Boto3MetaInfo):
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return Boto3MetaInfo.unpack_boto3_nosave_meta(meta)
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elif isinstance(meta, LocalMetaInfo):
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return LocalMetaInfo.unpack_local_nosave_meta(meta)
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else:
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raise ValueError(f"unkonwn meta info: {type(meta)}")
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def compute_file_md5_by_chunk(file_name: str):
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hash_md5 = hashlib.md5()
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with open(file_name, "rb") as f:
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for chunk in iter(lambda: f.read(4096), b""):
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hash_md5.update(chunk)
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return hash_md5.hexdigest()
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def try_get_storage_backend(path: str):
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sre = path.split(":", maxsplit=1)
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if len(sre) == 1:
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if path.startswith("s3:"):
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backend = "boto3"
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if gpc.is_rank_for_log():
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logger.warning(f"path: '{path}' not start with backend prefix, guess it is the backend of boto3.")
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else:
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backend = "local"
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if gpc.is_rank_for_log():
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logger.warning(f"path: '{path}' not start with backend prefix, guess it is the backend of local.")
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return backend, sre
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else:
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return sre[0], sre[1] # (backend_prefix, splited_path)
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class Boto3Client(StorageClient):
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"""
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Boto3Client
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"""
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def __init__(
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self,
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s3_endpoint_url: str,
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use_threads: int = True,
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multipart_chunksize=8 * MB,
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max_concurrency: int = 10,
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multipart_threshold=100 * MB,
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) -> None:
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"""S3 object/file storage management class
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Args:
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s3_access_keys_id (str): S3 access key ID.
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s3_secret_access_key (str): S3 secret access key.
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use_threads (bool, optional): Whether to enable multipart. Defaults to True.
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multipart_chunksize (_type_, optional): Defaults to 8*MB.
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max_concurrency (int, optional): Defaults to 10.
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Raises:
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RuntimeError: Connection failures caused by misconfiguration or network problems.
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"""
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super().__init__(boto3)
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self.botocore = botocore
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try:
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s3_access_key_id = os.environ["S3_ACCESS_KEY_ID"]
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s3_secret_access_key = os.environ["S3_SECRET_ACCESS_KEY_ID"]
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except KeyError as exc:
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raise RuntimeError(
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"Please set boto3 bucket 'S3_ACCESS_KEY_ID' and 'S3_SECRET_ACCESS_KEY_ID' using environment variable!"
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) from exc
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self.client = self.handler.client(
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"s3",
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"",
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use_ssl=False,
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verify=False,
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endpoint_url=s3_endpoint_url,
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aws_access_key_id=s3_access_key_id,
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aws_secret_access_key=s3_secret_access_key,
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)
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self.config = self.handler.s3.transfer.TransferConfig(
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multipart_threshold=multipart_threshold,
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max_concurrency=max_concurrency,
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multipart_chunksize=multipart_chunksize,
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use_threads=use_threads,
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)
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@staticmethod
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def sync_upload_fileobj(handler, bucket_name: str, fp: str, saved_obj=None, **kwargs):
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assert saved_obj is not None, "saved_obj is None!"
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try:
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with io.BytesIO() as f:
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torch.save(saved_obj, f, **kwargs)
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f.seek(0)
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handler.client.upload_fileobj(f, bucket_name, fp, Config=handler.config)
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except handler.botocore.exceptions.EndpointConnectionError as exc:
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raise RuntimeError(
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f"Boto3 Network Error: Please Check your Internet Connection in {socket.gethostname()}"
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) from exc
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@staticmethod
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def load(handler, bucket_name: str, fp: str, **kwargs) -> Dict:
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"""
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Args:
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fp (str): Path to save, eg. s3://opennlplab/model_weights/xxx/ddd.pt
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"""
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try:
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with io.BytesIO() as f:
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handler.client.download_fileobj(bucket_name, fp, f, Config=handler.config)
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f.seek(0)
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states = torch.load(f, **kwargs)
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except handler.botocore.exceptions.EndpointConnectionError as exc:
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raise RuntimeError(
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f"Boto3 Network Error: Please Check your Internet Connection in {socket.gethostname()}"
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) from exc
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return states
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@staticmethod
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def assert_fp_exists(handler, bucket_name: str, fp: str): # pylint: disable=W0613
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assert len(list(handler.client.list_objects(Bucket=bucket_name, Prefix=fp)["Contents"])) > 0, fp
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@staticmethod
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def is_fp_exists(handler, bucket_name: str, fp: str): # pylint: disable=W0613
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re = handler.client.list_objects(Bucket=bucket_name, Prefix=fp)
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if "Contents" in re:
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return len(list(re["Contents"])) > 0
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else:
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return False
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@staticmethod
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def get_fns(handler, bucket_name: str, fp: str):
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"""
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Ref: https://stackoverflow.com/questions/54314563/
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how-to-get-more-than-1000-objects-from-s3-by-using-list-objects-v2
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"""
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if Boto3Client.is_fp_exists(handler, bucket_name, fp):
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paginator = handler.client.get_paginator("list_objects_v2")
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pages = paginator.paginate(Bucket=bucket_name, Prefix=fp)
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folder_name_list = []
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for page in pages:
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if "Contents" in page:
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for obj in page["Contents"]:
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pth: str = obj["Key"]
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folder_name_list.append(pth.split(fp, maxsplit=1)[1].strip("/").split("/", maxsplit=1)[0])
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return list(set(folder_name_list))
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else:
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if gpc.is_rank_for_log():
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logger.warning(f"'{fp}' not found!")
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return None
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@staticmethod
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def async_upload_fileobj(handler, bucket_name: str, fp: str, local_nvme_path: str):
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try:
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with open(local_nvme_path, "rb") as f:
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handler.client.upload_fileobj(f, bucket_name, fp, Config=handler.config)
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except handler.botocore.exceptions.EndpointConnectionError as exc:
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raise RuntimeError(
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f"Boto3 Network Error: Please Check your Internet Connection in {socket.gethostname()}"
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) from exc
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except Exception as e:
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raise e
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@staticmethod
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def delete_obj(handler, fp: str):
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raise NotImplementedError("boto3 not support delete_obj")
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class LocalClient(StorageClient):
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"""
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Storage Client for local NFS.
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"""
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def __init__(self, *args, **kwargs) -> None: # pylint: disable=W0613
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super().__init__(None)
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@staticmethod
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def sync_upload_fileobj(fp: str, saved_obj=None, **kwargs):
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assert saved_obj is not None
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fp_dirname = os.path.dirname(fp)
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if not os.path.exists(fp_dirname):
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os.makedirs(fp_dirname, exist_ok=True)
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torch.save(saved_obj, fp, **kwargs)
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@staticmethod
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def load(load_path: str, **kwargs):
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assert os.path.exists(load_path), f"{load_path} is not found!"
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with open(load_path, "rb") as f:
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states = torch.load(f, **kwargs)
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return states
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@staticmethod
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def assert_fp_exists(folder):
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assert os.path.exists(folder), folder
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@staticmethod
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def get_fns(folder):
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if not os.path.exists(folder):
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if gpc.is_rank_for_log():
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logger.warning(f"'{folder}' not found!")
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return None
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else:
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return os.listdir(folder)
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@staticmethod
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def delete_obj(fp: str):
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if not os.path.isdir(fp):
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os.remove(fp)
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def get_tmp_file_name(tmp_local_folder: str, fp: str):
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"""
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It should be noted that all our temporary files will be stored in the same folder,
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so the file name passed upstream must be unique.
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"""
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base_path = os.path.join(tmp_local_folder, fp.split("/")[-1])
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current_time = datetime.now().strftime("%b%d_%H-%M-%S")
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pid = os.getpid()
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# step = self.step_counter
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return "-".join([base_path, current_time, str(pid)]) + ".tmpfile" # , str(step)
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def get_boto3_meta(fp: str, tmp_local_folder: str, is_async: bool) -> Boto3MetaInfo:
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assert fp.startswith("s3://"), f"Path '{fp}' is not a boto3 url"
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parts = fp.lstrip("s3://").split(os.path.sep)
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match = boto3_url_re.match(parts[0])
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assert match is not None, f"url '{fp}' is not a valid boto3 url"
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bucket_name, endpoint = match.group(1), match.group(2)
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endpoint = "http://" + endpoint + ":80"
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if is_async:
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tmp_step_file = get_tmp_file_name(tmp_local_folder, fp)
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else:
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tmp_step_file = None
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return Boto3MetaInfo(
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is_async=is_async,
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handler=None,
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bucket_name=bucket_name,
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endpoint=endpoint,
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file_path=os.path.sep.join(parts[1:]),
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async_upload_fn=Boto3Client.async_upload_fileobj,
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local_nvme_path=tmp_step_file,
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)
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def get_local_meta(fp: str) -> LocalMetaInfo:
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assert not fp.startswith("s3://"), f"Path '{fp}' is not a local path"
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return LocalMetaInfo(fp)
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def get_mount_point_free_size(path: str):
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"""
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Returns the remaining space of the temporary storage mount point as a percentage.
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Args:
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path (str): temporary storage folder path.
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Raises:
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FileNotFoundError: If the temporary storage folder does not exist,
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an error will be reported。
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"""
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if os.path.exists(path):
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st = os.statvfs(path)
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# f_bavail: Number of free blocks for unprivileged users.
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# f_bsize: Filesystem block size.
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# return unit is TB.
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return st.f_bavail * st.f_bsize / (1024**3)
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def check_tmp_folder_accessibility(tmp_local_folder: str):
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"""
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Check access permissions for temporary storage.
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"""
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ret = True
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if os.path.exists(tmp_local_folder):
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ret &= os.access(tmp_local_folder, os.W_OK)
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ret &= os.access(tmp_local_folder, os.R_OK)
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if ret is False:
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error_str = f'{socket.gethostname()} dose not have read and write permissions on {tmp_local_folder}"'
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raise RuntimeError(error_str)
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class StorageManager(metaclass=SingletonMeta):
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"""
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Storage Manager for saving or loading checkpoint.
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TODO: add a thread to poll the asynchronous storage state.
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"""
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BACKEND_TYPE = {"boto3", "local"}
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BACKEND_INIT_METHOD = {
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"boto3": Boto3Client,
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"local": LocalClient,
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}
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CLI_DICT = {}
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def __init__(self, enable_save, tmp_local_folder="/dev/shm/test/", async_mode=True, n_async_workers=8) -> None:
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self._exception_list = []
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self._to_be_del_files = []
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self._async_stack = []
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self.upload_count = 0
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self.tmp_local_folder = tmp_local_folder
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self.async_mode = async_mode
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self.has_warning = False
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self._async_loop = None
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self._thread_pool = None
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self.latest_save_folder = None
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self.latest_save_step = 0
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self.async_task_peeding = False
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if enable_save and self.async_mode:
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self._async_loop = asyncio.new_event_loop()
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self._thread_pool = concurrent.futures.ThreadPoolExecutor(max_workers=n_async_workers)
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check_tmp_folder_accessibility(os.path.dirname(self.tmp_local_folder))
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# Try to create tmp folder
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try:
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os.makedirs(self.tmp_local_folder, exist_ok=True)
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os.chmod(self.tmp_local_folder, stat.S_IRWXU | stat.S_IRWXG | stat.S_IRWXO)
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except FileExistsError:
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pass
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# In case it is a directory created by other users, we check the permissions again.
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check_tmp_folder_accessibility(self.tmp_local_folder)
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# Try to clean tmp folder's empty folder.
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self.try_delete_tmpfile(self.tmp_local_folder)
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# Avaliable storeage space check.
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free_size = get_mount_point_free_size(self.tmp_local_folder)
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if free_size < 0.1:
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logger.error(f'tmp_local_folder only have "{free_size}" GB free space, less then 100 GB!')
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raise RuntimeError(f"Insufficient temporary storage space on {socket.gethostname()}")
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def _get_client(self, path: str, async_mode: bool = False) -> Union[Boto3MetaInfo, LocalMetaInfo]:
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"""
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example:
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local:/path/to/checkpoint
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boto3:s3://model_weights/0331/120bi
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Args:
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path (str): _description_
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"""
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backend, path = try_get_storage_backend(path)
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init_args = (None,)
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if backend == "local":
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meta_info = get_local_meta(path)
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backend_key = backend
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elif backend == "boto3":
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meta_info = get_boto3_meta(path, self.tmp_local_folder, async_mode)
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backend_key = backend + ":" + meta_info.endpoint
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init_args = (meta_info.endpoint,)
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if (
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"http_proxy" in os.environ
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or "https_proxy" in os.environ
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or "HTTP_PROXY" in os.environ
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or "HTTPS_PROXY" in os.environ
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):
|
|
if not self.has_warning:
|
|
logger.warning(
|
|
"HTTP/HTTPS proxy is detected when using boto3, incorrectly setting \
|
|
the proxy may make boto3 unavailable or affect performance."
|
|
)
|
|
self.has_warning = True
|
|
|
|
assert backend in StorageManager.BACKEND_TYPE, f"Unkown backend: {backend}"
|
|
|
|
# boto3 backend need special treatment.
|
|
if backend_key not in StorageManager.CLI_DICT:
|
|
StorageManager.CLI_DICT.update({backend_key: StorageManager.BACKEND_INIT_METHOD[backend](*init_args)})
|
|
|
|
meta_info.client = StorageManager.CLI_DICT[backend_key]
|
|
|
|
return meta_info
|
|
|
|
def assert_fp_exists(self, folder) -> None:
|
|
meta = self._get_client(path=folder)
|
|
meta.client.assert_fp_exists(*unpack_nosave_meta(meta))
|
|
|
|
def get_fns(self, folder) -> List[str]:
|
|
meta = self._get_client(path=folder)
|
|
return meta.client.get_fns(*unpack_nosave_meta(meta))
|
|
|
|
def save(self, save_path: str, to_save_obj: Any, async_upload=None, **kwargs):
|
|
|
|
if async_upload is None:
|
|
async_upload = self.async_mode
|
|
|
|
if not save_path.startswith("boto3:"):
|
|
async_upload = False
|
|
|
|
meta = self._get_client(save_path, async_upload)
|
|
|
|
if async_upload:
|
|
assert (
|
|
self.tmp_local_folder
|
|
), "StorageManager is not setted tmp_local_folder, so async save cannot be performed."
|
|
tmp_step_file = meta.local_nvme_path
|
|
self._to_be_del_files.append(tmp_step_file)
|
|
with open(tmp_step_file, "wb") as f:
|
|
torch.save(to_save_obj, f, pickle_protocol=pickle.HIGHEST_PROTOCOL)
|
|
self.async_executor(meta.async_upload_fn, *unpack_save_meta(meta))
|
|
os.chmod(tmp_step_file, stat.S_IRWXU | stat.S_IRWXG | stat.S_IRWXO)
|
|
self.async_task_peeding = True
|
|
else:
|
|
meta.client.sync_upload_fileobj(*unpack_save_meta(meta), saved_obj=to_save_obj, **kwargs)
|
|
self.upload_count += 1
|
|
|
|
def load(self, load_path: str, **kwargs) -> Any:
|
|
self.wait()
|
|
meta = self._get_client(path=load_path)
|
|
return meta.client.load(*unpack_nosave_meta(meta), **kwargs)
|
|
|
|
def delete_obj(self, fp: str):
|
|
meta = self._get_client(path=fp)
|
|
meta.client.delete_obj(*unpack_nosave_meta(meta))
|
|
|
|
def _del_tmp_folder(self):
|
|
for fp in self._to_be_del_files:
|
|
try:
|
|
os.remove(fp)
|
|
except FileNotFoundError:
|
|
pass
|
|
except SystemError as e:
|
|
logger.error(f'delete file: {fp}, failed for reason:"{e}"')
|
|
else:
|
|
pass
|
|
|
|
def try_delete_tmpfile(self, tmp_dir: str):
|
|
"""Delete temporary files in tmp_dir."""
|
|
|
|
for filename in os.listdir(tmp_dir):
|
|
if filename.endswith(".tmpfile"):
|
|
file_path = os.path.join(tmp_dir, filename)
|
|
try:
|
|
os.remove(file_path)
|
|
logger.info(f"Delete tmpfile: {file_path}")
|
|
except OSError:
|
|
# Ignore deletion errors
|
|
pass
|
|
|
|
async def _sync_tasks(self) -> Awaitable[None]:
|
|
if self._async_stack:
|
|
await asyncio.wait(self._async_stack, return_when=ALL_COMPLETED)
|
|
count = 0
|
|
while self._async_stack:
|
|
t = self._async_stack[0]
|
|
try:
|
|
e = t.exception()
|
|
if e:
|
|
self._exception_list.append((e, count))
|
|
logger.error(f"File:{self._to_be_del_files[count]}, upload failed for {e}")
|
|
# raise e
|
|
count += 1
|
|
self._async_stack.pop(0)
|
|
except InvalidStateError:
|
|
# Not finished. https://docs.python.org/3/library/asyncio-task.html#asyncio.Task.exception
|
|
pass
|
|
|
|
def async_executor(self, fn: Callable, *args, **kwargs) -> None:
|
|
"""
|
|
Overview:
|
|
Execute task in background, then apppend the future instance in _async_stack.
|
|
Arguments:
|
|
- fn (:obj:`Callable`): Synchronization fuction.
|
|
"""
|
|
if not self._async_loop:
|
|
raise RuntimeError("Event loop was not initialized, please call this function in async or parallel mode")
|
|
t = self._async_loop.run_in_executor(self._thread_pool, fn, *args, **kwargs)
|
|
self._async_stack.append(t)
|
|
|
|
def wait(self) -> bool:
|
|
"""Wait for async operations to complete."""
|
|
|
|
if not self.async_mode:
|
|
return
|
|
|
|
if not self.async_task_peeding:
|
|
return
|
|
|
|
if self._async_loop:
|
|
self._async_loop.run_until_complete(self._sync_tasks())
|
|
|
|
if self._exception_list:
|
|
for error_msg, file_id in self._exception_list:
|
|
logger.error(
|
|
f"Node:{socket.gethostname()}, Error: Checkpoint {self._to_be_del_files[file_id]} "
|
|
f"failed on step {self.upload_count}: {error_msg}"
|
|
)
|
|
|
|
# TODO: Re-upload in sync mode
|
|
raise RuntimeError(
|
|
f"Failed to upload {self._to_be_del_files[file_id]} " f"on step {self.upload_count}: {error_msg}"
|
|
)
|
|
|
|
self._del_tmp_folder()
|
|
self._exception_list.clear()
|
|
self._to_be_del_files.clear()
|
|
self.async_task_peeding = False
|
|
|
|
if gpc.is_rank_for_log():
|
|
self.upload_count += 1
|
|
if self.async_mode and self.latest_save_folder:
|
|
self.save(
|
|
os.path.join(self.latest_save_folder, f"{self.latest_save_step}.step"),
|
|
to_save_obj=dict({"step": self.latest_save_step}),
|
|
async_upload=False,
|
|
)
|
|
self.latest_save_folder = None
|
|
|
|
|
|
storage_manager: StorageManager = None
|
|
|
|
|
|
def init_storage_manager(enable_save_ckpt, async_upload_tmp_folder, async_upload):
|
|
global storage_manager
|
|
storage_manager = StorageManager(
|
|
enable_save_ckpt,
|
|
tmp_local_folder=async_upload_tmp_folder,
|
|
async_mode=async_upload,
|
|
)
|
|
|
|
|
|
def get_storage_manager():
|
|
assert storage_manager is not None, "storage_manager has not been init!"
|
|
return storage_manager
|
|
|
|
|
|
def wait_async_upload_finish():
|
|
dist.barrier()
|
|
storage_manager.wait()
|