dlengine is a trainning engine targeting to separating miscellaneous trainning things from modeling.
Project description
Introduction
dlengine is a trainning engine targeting to separating miscellaneous trainning things from modeling.
With dlengine, you can focuse on building model. dlengine takes care of logging, model saving and restoring, very efficient multi-gpu training for you.
dlengine contains features:
- very efficient multi-gpu training based on
DistributedDataParallel
- automatic logging
- automatic model saving and restoring
Usage
step 1. inheriting from DefaultTrainer
,overwrite neccesary methods build_model
, build_optimizer
, build_lr_scheduler
, build_train_loader
, build_test_loader
, build_evaluator
.
from dlengine.defaults import DefaultTrainer
class Trainer(DefaultTrainer):
def __init__(self, args):
super(Trainer, self).__init__(args, args.output_dir, "classifier", args.num_epoch, args.log_every_n_epoch)
@classmethod
def build_model(cls, args):
pass
@classmethod
def build_optimizer(cls, args, model):
pass
@classmethod
def build_lr_scheduler(cls, args, end_iter, optimizer):
pass
@classmethod
def build_train_loader(cls, args):
pass
@classmethod
def build_test_loader(cls, args):
pass
@classmethod
def build_evaluator(cls, args):
pass
step 2. call lanuch
function to start training
from dlengine.launch import launch
from dlengine.defaults import default_setup
def main(args):
default_setup(args.output_dir, "classifier", args)
trainer = Trainer(args)
return trainer.train()
if __name__ == "__main__":
args = parser.parse_args()
launch(
main,
num_gpus_per_machine=args.num_gpu,
dist_url="tcp://127.0.0.1:28662",
num_machines=1,
machine_rank=0,
args=(args,))
Installation
-
install package dependencies: pytorch and termcolor.
-
pip install dlengine
LICENSE
Copyright (c) 2021 The Python Packaging Authority
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file dlengine-0.1.0.tar.gz
.
File metadata
- Download URL: dlengine-0.1.0.tar.gz
- Upload date:
- Size: 43.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.0 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.6.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 10520a82e0a5c5ebc602fc3491af29dfb82ee247fe8005123834812bedbde9a1 |
|
MD5 | e3fca5e964b1bfe146f990adde0ab682 |
|
BLAKE2b-256 | e720cb4d7b3b8fd7389dc94b586b73d7fd1a2cc30066c28d50147ef64738bb49 |
File details
Details for the file dlengine-0.1.0-py3-none-any.whl
.
File metadata
- Download URL: dlengine-0.1.0-py3-none-any.whl
- Upload date:
- Size: 53.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.0 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.6.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a1efe479e815adb6f1a52f09962ab12e92213a7c06b6c2f574c91a9753960dcb |
|
MD5 | 287f2b2f742778fce8fdd006a8e2f37a |
|
BLAKE2b-256 | 93b218352d13a23ce4689d7950de61970eb6e3f12a01fc673069e83dd11a6ec7 |