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#!/usr/bin/env python
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# -*- encoding: utf-8 -*-
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import inspect
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import sys
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from importlib.machinery import SourceFileLoader
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from pathlib import Path
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from colossalai.logging import get_dist_logger
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class Config(dict):
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"""This is a wrapper class for dict objects so that values of which can be
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accessed as attributes.
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:param config: The dict object to be wrapped
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:type config: dict
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"""
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def __init__(self, config: dict = None):
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if config is not None:
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for k, v in config.items():
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self._add_item(k, v)
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def __missing__(self, key):
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raise KeyError(key)
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def __getattr__(self, key):
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try:
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value = super(Config, self).__getitem__(key)
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return value
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except KeyError:
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raise AttributeError(key)
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def __setattr__(self, key, value):
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super(Config, self).__setitem__(key, value)
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def _add_item(self, key, value):
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if isinstance(value, dict):
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self.__setattr__(key, Config(value))
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else:
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self.__setattr__(key, value)
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def update(self, config):
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assert isinstance(config, (Config, dict)), 'can only update dictionary or Config objects.'
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for k, v in config.items():
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self._add_item(k, v)
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return self
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@staticmethod
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def from_file(filename: str):
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"""Reads a python file and constructs a corresponding :class:`Config` object.
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:param filename: Name of the file to construct the return object
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:type filename: str
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:raises AssertionError: Raises an AssertionError if the file does not exist, or the file
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is not .py file
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:return: A :class:`Config` object constructed with information in the file
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:rtype: :class:`Config`
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"""
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# check config path
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if isinstance(filename, str):
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filepath = Path(filename).absolute()
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elif isinstance(filename, Path):
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filepath = filename.absolute()
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assert filepath.exists(), f'{filename} is not found, please check your configuration path'
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# check extension
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extension = filepath.suffix
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assert extension == '.py', 'only .py files are supported'
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# import the config as module
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remove_path = False
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if filepath.parent not in sys.path:
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sys.path.insert(0, (filepath))
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remove_path = True
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module_name = filepath.stem
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source_file = SourceFileLoader(fullname=str(module_name), path=str(filepath))
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module = source_file.load_module()
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# load into config
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config = Config()
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for k, v in module.__dict__.items():
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if k.startswith('__') or inspect.ismodule(v) or inspect.isclass(v):
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continue
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else:
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config._add_item(k, v)
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logger = get_dist_logger()
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logger.debug('variables which starts with __, is a module or class declaration are omitted in config file')
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# remove module
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del sys.modules[module_name]
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if remove_path:
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sys.path.pop(0)
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return config
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Develop/experiments (#59)
* Add gradient accumulation, fix lr scheduler
* fix FP16 optimizer and adapted torch amp with tensor parallel (#18)
* fixed bugs in compatibility between torch amp and tensor parallel and performed some minor fixes
* fixed trainer
* Revert "fixed trainer"
This reverts commit 2e0b0b76990e8d4e337add483d878c0f61cf5097.
* improved consistency between trainer, engine and schedule (#23)
Co-authored-by: 1SAA <c2h214748@gmail.com>
* Split conv2d, class token, positional embedding in 2d, Fix random number in ddp
Fix convergence in cifar10, Imagenet1000
* Integrate 1d tensor parallel in Colossal-AI (#39)
* fixed 1D and 2D convergence (#38)
* optimized 2D operations
* fixed 1D ViT convergence problem
* Feature/ddp (#49)
* remove redundancy func in setup (#19) (#20)
* use env to control the language of doc (#24) (#25)
* Support TP-compatible Torch AMP and Update trainer API (#27)
* Add gradient accumulation, fix lr scheduler
* fix FP16 optimizer and adapted torch amp with tensor parallel (#18)
* fixed bugs in compatibility between torch amp and tensor parallel and performed some minor fixes
* fixed trainer
* Revert "fixed trainer"
This reverts commit 2e0b0b76990e8d4e337add483d878c0f61cf5097.
* improved consistency between trainer, engine and schedule (#23)
Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: ver217 <lhx0217@gmail.com>
* add an example of ViT-B/16 and remove w_norm clipping in LAMB (#29)
* add explanation for ViT example (#35) (#36)
* support torch ddp
* fix loss accumulation
* add log for ddp
* change seed
* modify timing hook
Co-authored-by: Frank Lee <somerlee.9@gmail.com>
Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
* Feature/pipeline (#40)
* remove redundancy func in setup (#19) (#20)
* use env to control the language of doc (#24) (#25)
* Support TP-compatible Torch AMP and Update trainer API (#27)
* Add gradient accumulation, fix lr scheduler
* fix FP16 optimizer and adapted torch amp with tensor parallel (#18)
* fixed bugs in compatibility between torch amp and tensor parallel and performed some minor fixes
* fixed trainer
* Revert "fixed trainer"
This reverts commit 2e0b0b76990e8d4e337add483d878c0f61cf5097.
* improved consistency between trainer, engine and schedule (#23)
Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: ver217 <lhx0217@gmail.com>
* add an example of ViT-B/16 and remove w_norm clipping in LAMB (#29)
* add explanation for ViT example (#35) (#36)
* optimize communication of pipeline parallel
* fix grad clip for pipeline
Co-authored-by: Frank Lee <somerlee.9@gmail.com>
Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
* optimized 3d layer to fix slow computation ; tested imagenet performance with 3d; reworked lr_scheduler config definition; fixed launch args; fixed some printing issues; simplified apis of 3d layers (#51)
* Update 2.5d layer code to get a similar accuracy on imagenet-1k dataset
* update api for better usability (#58)
update api for better usability
Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: ver217 <lhx0217@gmail.com>
Co-authored-by: puck_WCR <46049915+WANG-CR@users.noreply.github.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
Co-authored-by: アマデウス <kurisusnowdeng@users.noreply.github.com>
Co-authored-by: BoxiangW <45734921+BoxiangW@users.noreply.github.com>
3 years ago
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class ConfigException(Exception):
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pass
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