ColossalAI/colossalai/logging/logger.py
Wang Binluo eea37da6fa
[fp8] Merge feature/fp8_comm to main branch of Colossalai (#6016)
* add SimPO

* fix dataloader

* remove debug code

* add orpo

* fix style

* fix colossalai, transformers version

* fix colossalai, transformers version

* fix colossalai, transformers version

* fix torch colossalai version

* update transformers version

* [shardformer] DeepseekMoE support (#5871)

* [Feature] deepseek moe expert parallel implement

* [misc] fix typo, remove redundant file (#5867)

* [misc] fix typo

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

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* [Feature] deepseek support & unit test

* [misc] remove debug code & useless print

* [misc] fix typos (#5872)

* [Feature] remove modeling file, use auto config. (#5884)

* [misc] fix typos

* [Feature] deepseek support via auto model, remove modeling file

* [misc] delete useless file

* [misc] fix typos

* [Deepseek] remove redundant code (#5888)

* [misc] fix typos

* [Feature] deepseek support via auto model, remove modeling file

* [misc] delete useless file

* [misc] fix typos

* [misc] remove redundant code

* [Feature/deepseek] resolve comment. (#5889)

* [misc] fix typos

* [Feature] deepseek support via auto model, remove modeling file

* [misc] delete useless file

* [misc] fix typos

* [misc] remove redundant code

* [misc] mv module replacement into if branch

* [misc] add some warning message and modify some code in unit test

* [misc] fix typos

---------

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* [Hoxfix] Fix CUDA_DEVICE_MAX_CONNECTIONS for comm overlap

Co-authored-by: Edenzzzz <wtan45@wisc.edu>

* [Feat] Diffusion Model(PixArtAlpha/StableDiffusion3) Support (#5838)

* Diffusion Model Inference support

* Stable Diffusion 3 Support

* pixartalpha support

* [HotFix] CI,import,requirements-test for #5838 (#5892)

* [Hot Fix] CI,import,requirements-test

---------

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* [Feature] Enable PP + SP for llama (#5868)

* fix cross-PP-stage position id length diff bug

* fix typo

* fix typo

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* use a one cross entropy func for all shardformer models

---------

Co-authored-by: Edenzzzz <wtan45@wisc.edu>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* [ShardFormer] Add Ulysses Sequence Parallelism support for Command-R, Qwen2 and ChatGLM (#5897)

* add benchmark for sft, dpo, simpo, orpo. Add benchmarking result. Support lora with gradient checkpoint

* fix style

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* fix eval

* hotfix citation

* [zero] support all-gather overlap (#5898)

* [zero] support all-gather overlap

* [zero] add overlap all-gather flag

* [misc] fix typo

* [zero] update api

* fix orpo cross entropy loss

* [Auto Parallel]: Speed up intra-op plan generation by 44% (#5446)

* Remove unnecessary calls to deepcopy

* Build DimSpec's difference dict only once

This change considerably speeds up construction speed of DimSpec objects. The difference_dict is the same for each DimSpec object, so a single copy of it is enough.

* Fix documentation of DimSpec's difference method

* [ShardFormer] fix qwen2 sp (#5903)

* [compatibility] support torch 2.2 (#5875)

* Support Pytorch 2.2.2

* keep build_on_pr file and update .compatibility

* fix object_to_tensor usage when torch>=2.3.0 (#5820)

* [misc] support torch2.3 (#5893)

* [misc] support torch2.3

* [devops] update compatibility ci

* [devops] update compatibility ci

* [devops] add debug

* [devops] add debug

* [devops] add debug

* [devops] add debug

* [devops] remove debug

* [devops] remove debug

* [release] update version (#5912)

* [plugin] support all-gather overlap for hybrid parallel (#5919)

* [plugin] fixed all-gather overlap support for hybrid parallel

* add kto

* fix style, add kto data sample

* [Examples] Add lazy init to OPT and GPT examples (#5924)

Co-authored-by: Edenzzzz <wtan45@wisc.edu>

* [ColossalChat] Hotfix for ColossalChat (#5910)

* add ignore and tiny llama

* fix path issue

* run style

* fix issue

* update bash

* add ignore and tiny llama

* fix path issue

* run style

* fix issue

* update bash

* fix ddp issue

* add Qwen 1.5 32B

* refactor tokenization

* [FIX BUG] UnboundLocalError: cannot access local variable 'default_conversation' where it is not associated with a value (#5931)

* cannot access local variable 'default_conversation' where it is not associated with a value

set default value for 'default_conversation'

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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---------

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* fix test data

* refactor evaluation

* remove real data path

* remove real data path

* Add n_fused as an input from native_module (#5894)

* [FIX BUG] convert env param to int in (#5934)

* [Hotfix] Fix ZeRO typo #5936

Co-authored-by: Edenzzzz <wtan45@wisc.edu>

* [Feature] Add a switch to control whether the model checkpoint needs to be saved after each epoch ends (#5941)

* Add a switch to control whether the model checkpoint needs to be saved after each epoch ends

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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---------

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* fix style

* fix style

* fix style

* [shardformer] hotfix attn mask (#5945)

* [shardformer] hotfix attn mask (#5947)

* [Feat] Distrifusion Acceleration Support for Diffusion Inference (#5895)

* Distrifusion Support source

* comp comm overlap optimization

* sd3 benchmark

* pixart distrifusion bug fix

* sd3 bug fix and benchmark

* generation bug fix

* naming fix

* add docstring, fix counter and shape error

* add reference

* readme and requirement

* [zero] hotfix update master params (#5951)

* [release] update version (#5952)

* [Chat] Fix lora (#5946)

* fix merging

* remove filepath

* fix style

* Update README.md (#5958)

* [hotfix] Remove unused plan section (#5957)

* remove readme

* fix readme

* update

* [test] add mixtral for sequence classification

* [test] add mixtral transformer test

* [moe] fix plugin

* [test] mixtra pp shard test

* [chore] handle non member group

* [zero] solve hang

* [test] pass mixtral shardformer test

* [moe] implement transit between non moe tp and ep

* [zero] solve hang

* [misc] solve booster hang by rename the variable

* solve hang when parallel mode = pp + dp

* [moe] implement submesh initialization

* [moe] add mixtral dp grad scaling when not all experts are activated

* [chore] manually revert unintended commit

* [chore] trivial fix

* [chore] arg pass & remove drop token

* [test] add mixtral modelling test

* [moe] implement tp

* [moe] test deepseek

* [moe] clean legacy code

* [Feature] MoE Ulysses Support (#5918)

* moe sp support

* moe sp bug solve

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

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* [chore] minor fix

* [moe] init moe plugin comm setting with sp

* moe sp + ep bug fix

* [moe] finalize test (no pp)

* [moe] full test for deepseek and mixtral (pp + sp to fix)

* [chore] minor fix after rebase

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* [chore] solve moe ckpt test failure and some other arg pass failure

* [moe] remove ops

* [test] fix test: test_zero1_2

* [bug] fix: somehow logger hangs the program

* [moe] deepseek moe sp support

* [test] add check

* [deepseek] replace attn (a workaround for bug in transformers)

* [misc] skip redunant test

* [misc] remove debug/print code

* [moe] refactor mesh assignment

* Revert "[moe] implement submesh initialization"

This reverts commit 2f9bce6686.

* [chore] change moe_pg_mesh to private

* [misc] remove incompatible test config

* [misc] fix ci failure: change default value to false in moe plugin

* [misc] remove useless condition

* [chore] docstring

* [moe] remove force_overlap_comm flag and add warning instead

* [doc] add MoeHybridParallelPlugin docstring

* [moe] solve dp axis issue

* [chore] remove redundant test case, print string & reduce test tokens

* [feat] Dist Loader for Eval (#5950)

* support auto distributed data loader

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* support auto distributed data loader

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* fix tp error

* remove unused parameters

* remove unused

* update inference

* update docs

* update inference

---------

Co-authored-by: Michelle <qianranma8@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* [lora] lora support hybrid parallel plugin (#5956)

* lora support hybrid plugin

* fix

* fix

* fix

* fix

* Support overall loss, update KTO logging

* [Docs] clarify launch port

Co-authored-by: Edenzzzz <wtan45@wisc.edu>

* [Hotfix] README link (#5966)

* update ignore

* update readme

* run style

* update readme

* [Hotfix] Avoid fused RMSnorm import error without apex (#5985)

Co-authored-by: Edenzzzz <wtan45@wisc.edu>

* [Chat] fix readme (#5989)

* fix readme

* fix readme, tokenization fully tested

* fix readme, tokenization fully tested

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* fix sync condition (#6000)

* [plugin] add cast inputs option for zero (#6003)

* [pre-commit.ci] pre-commit autoupdate (#5995)

updates:
- [github.com/psf/black-pre-commit-mirror: 24.4.2 → 24.8.0](https://github.com/psf/black-pre-commit-mirror/compare/24.4.2...24.8.0)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* [misc] Bypass the huggingface bug to solve the mask mismatch problem (#5991)

* [Feature] Zigzag Ring attention (#5905)

* halfway

* fix cross-PP-stage position id length diff bug

* fix typo

* fix typo

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* unified cross entropy func for all shardformer models

* remove redundant lines

* add basic ring attn; debug cross entropy

* fwd bwd logic complete

* fwd bwd logic complete; add experimental triton rescale

* precision tests passed

* precision tests passed

* fix typos and remove misc files

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* add sp_mode to benchmark; fix varlen interface

* update softmax_lse shape by new interface

* change tester name

* remove buffer clone; support packed seq layout

* add varlen tests

* fix typo

* all tests passed

* add dkv_group; fix mask

* remove debug statements

---------

Co-authored-by: Edenzzzz <wtan45@wisc.edu>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* [misc] update compatibility (#6008)

* [misc] update compatibility

* [misc] update requirements

* [devops] disable requirements cache

* [test] fix torch ddp test

* [test] fix rerun on address in use

* [test] fix lazy init

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* fix the merge

* fix the merge

* overlap kv comm with output rescale (#6017)

Co-authored-by: Edenzzzz <wtan45@wisc.edu>

* fix the merge

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* fix the merge

* fix

* fix

* fix the merge

* fix

* [misc] Use dist logger in plugins (#6011)

* use dist logger in plugins

* remove trash

* print on rank 0

---------

Co-authored-by: Edenzzzz <wtan45@wisc.edu>

* fix

* fix

* fix

* fix

* fix the merge

* fix

* fix

* fix

* fix

---------

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Co-authored-by: Haze188 <haze188@qq.com>
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Co-authored-by: Runyu Lu <77330637+LRY89757@users.noreply.github.com>
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Co-authored-by: Insu Jang <insujang@umich.edu>
Co-authored-by: Gao, Ruiyuan <905370712@qq.com>
Co-authored-by: hxwang <wang1570@e.ntu.edu.sg>
Co-authored-by: Michelle <qianranma8@gmail.com>
Co-authored-by: root <root@notebook-8f919155-6035-47b4-9c6f-1be133b9e2c9-0.notebook-8f919155-6035-47b4-9c6f-1be133b9e2c9.colossal-ai.svc.cluster.local>
2024-08-22 09:21:34 +08:00

179 lines
6.0 KiB
Python

#!/usr/bin/env python
# -*- encoding: utf-8 -*-
import inspect
import logging
from pathlib import Path
from typing import List, Union
import torch.distributed as dist
class DistributedLogger:
"""This is a distributed event logger class essentially based on :class:`logging`.
Args:
name (str): The name of the logger.
Note:
The parallel_mode used in ``info``, ``warning``, ``debug`` and ``error``
should be concluded in ``ParallelMode``. More details about ``ParallelMode`` could be found
in `parallel_mode <https://github.com/hpcaitech/ColossalAI/blob/main/colossalai/context/parallel_mode.py>`_.
"""
__instances = dict()
@staticmethod
def get_instance(name: str):
"""Get the unique single logger instance based on name.
Args:
name (str): The name of the logger.
Returns:
DistributedLogger: A DistributedLogger object
"""
if name in DistributedLogger.__instances:
return DistributedLogger.__instances[name]
else:
logger = DistributedLogger(name=name)
return logger
def __init__(self, name):
if name in DistributedLogger.__instances:
raise Exception(
"Logger with the same name has been created, you should use colossalai.logging.get_dist_logger"
)
else:
handler = None
formatter = logging.Formatter("colossalai - %(name)s - %(levelname)s: %(message)s")
try:
from rich.logging import RichHandler
handler = RichHandler(show_path=False, markup=True, rich_tracebacks=True)
handler.setFormatter(formatter)
except ImportError:
handler = logging.StreamHandler()
handler.setFormatter(formatter)
self._name = name
self._logger = logging.getLogger(name)
self._logger.setLevel(logging.INFO)
if handler is not None:
self._logger.addHandler(handler)
self._logger.propagate = False
DistributedLogger.__instances[name] = self
@property
def rank(self):
return dist.get_rank() if dist.is_initialized() else 0
@staticmethod
def __get_call_info():
stack = inspect.stack()
# stack[1] gives previous function ('info' in our case)
# stack[2] gives before previous function and so on
fn = stack[2][1]
ln = stack[2][2]
func = stack[2][3]
return fn, ln, func
@staticmethod
def _check_valid_logging_level(level: str):
assert level in ["INFO", "DEBUG", "WARNING", "ERROR"], "found invalid logging level"
def set_level(self, level: str) -> None:
"""Set the logging level
Args:
level (str): Can only be INFO, DEBUG, WARNING and ERROR.
"""
self._check_valid_logging_level(level)
self._logger.setLevel(getattr(logging, level))
def log_to_file(self, path: Union[str, Path], mode: str = "a", level: str = "INFO", suffix: str = None) -> None:
"""Save the logs to file
Args:
path (A string or pathlib.Path object): The file to save the log.
mode (str): The mode to write log into the file.
level (str): Can only be INFO, DEBUG, WARNING and ERROR.
suffix (str): The suffix string of log's name.
"""
assert isinstance(path, (str, Path)), f"expected argument path to be type str or Path, but got {type(path)}"
self._check_valid_logging_level(level)
if isinstance(path, str):
path = Path(path)
# create log directory
path.mkdir(parents=True, exist_ok=True)
if suffix is not None:
log_file_name = f"rank_{self.rank}_{suffix}.log"
else:
log_file_name = f"rank_{self.rank}.log"
path = path.joinpath(log_file_name)
# add file handler
file_handler = logging.FileHandler(path, mode)
file_handler.setLevel(getattr(logging, level))
formatter = logging.Formatter("colossalai - %(name)s - %(levelname)s: %(message)s")
file_handler.setFormatter(formatter)
self._logger.addHandler(file_handler)
def _log(self, level, message: str, ranks: List[int] = None) -> None:
if ranks is None:
getattr(self._logger, level)(message)
else:
if self.rank in ranks:
getattr(self._logger, level)(message)
def info(self, message: str, ranks: List[int] = None) -> None:
"""Log an info message.
Args:
message (str): The message to be logged.
ranks (List[int]): List of parallel ranks.
"""
message_prefix = "{}:{} {}".format(*self.__get_call_info())
self._log("info", message_prefix, ranks)
self._log("info", message, ranks)
def warning(self, message: str, ranks: List[int] = None) -> None:
"""Log a warning message.
Args:
message (str): The message to be logged.
ranks (List[int]): List of parallel ranks.
"""
message_prefix = "{}:{} {}".format(*self.__get_call_info())
self._log("warning", message_prefix, ranks)
self._log("warning", message, ranks)
def debug(self, message: str, ranks: List[int] = None) -> None:
"""Log a debug message.
Args:
message (str): The message to be logged.
ranks (List[int]): List of parallel ranks.
"""
message_prefix = "{}:{} {}".format(*self.__get_call_info())
self._log("debug", message_prefix, ranks)
self._log("debug", message, ranks)
def error(self, message: str, ranks: List[int] = None) -> None:
"""Log an error message.
Args:
message (str): The message to be logged.
ranks (List[int]): List of parallel ranks.
"""
message_prefix = "{}:{} {}".format(*self.__get_call_info())
self._log("error", message_prefix, ranks)
self._log("error", message, ranks)