Move to xautodl

This commit is contained in:
D-X-Y 2021-05-18 14:08:00 +00:00
parent 98fadf8086
commit 94a149b33f
149 changed files with 94 additions and 21 deletions

3
.gitmodules vendored
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[submodule ".latent-data/NATS-Bench"]
path = .latent-data/NATS-Bench
url = git@github.com:D-X-Y/NATS-Bench.git
[submodule ".latent-data/NAS-Bench-201"]
path = .latent-data/NAS-Bench-201
url = git@github.com:D-X-Y/NAS-Bench-201.git

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Subproject commit 8558547969c131f75af2725869ff1ece98e98f23

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- [2019.01.31] [13e908f] GDAS codes were publicly released.
- [2020.07.01] [a45808b] Upgrade NAS-API to the 2.0 version.
- [2020.09.16] [7052265] Create NATS-BENCH.
- [2020.10.15] [446262a] Update NATS-BENCH to version 1.0
- [2020.12.20] [dae387a] Update NATS-BENCH to version 1.1
- [2020.10.15] [446262a](https://github.com/D-X-Y/AutoDL-Projects/tree/446262a) Update NATS-BENCH to version 1.0
- [2020.12.20] [dae387a](https://github.com/D-X-Y/AutoDL-Projects/tree/dae387a) Update NATS-BENCH to version 1.1
- [2021.05.18] [98fadf8](https://github.com/D-X-Y/AutoDL-Projects/tree/98fadf8086727f6311d477d0e4f2d5bb7e41ca59) Before moving to `xautodl`

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## 准备工作
请使用`3.6`以上的`Python`更多的Python包参见[requirements.txt](docs/requirements.txt).
请使用`3.6`以上的`Python`更多的Python包参见[requirements.txt](requirements.txt).
请下载并且解压缩`CIFAR`和`ImageNet`到`$TORCH_HOME`.

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nats_bench>=1.4
torchvision
torch
# Optional
opencv
torchvision
nats_bench>=1.4
nas_201_api

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@ -10,23 +10,25 @@ from tqdm import tqdm
from copy import deepcopy
from pathlib import Path
lib_dir = (Path(__file__).parent / ".." / ".." / "lib").resolve()
if str(lib_dir) not in sys.path:
sys.path.insert(0, str(lib_dir))
from procedures import prepare_seed, prepare_logger, save_checkpoint, copy_checkpoint
from log_utils import time_string
from log_utils import AverageMeter, convert_secs2time
from xautodl.procedures import (
prepare_seed,
prepare_logger,
save_checkpoint,
copy_checkpoint,
)
from xautodl.log_utils import time_string
from xautodl.log_utils import AverageMeter, convert_secs2time
from utils import split_str2indexes
from xautodl.utils import split_str2indexes
from procedures.advanced_main import basic_train_fn, basic_eval_fn
from procedures.metric_utils import SaveMetric, MSEMetric, ComposeMetric
from datasets.synthetic_core import get_synthetic_env, EnvSampler
from models.xcore import get_model
from xlayers import super_core, trunc_normal_
from xautodl.procedures.advanced_main import basic_train_fn, basic_eval_fn
from xautodl.procedures.metric_utils import SaveMetric, MSEMetric, ComposeMetric
from xautodl.datasets.synthetic_core import get_synthetic_env, EnvSampler
from xautodl.models.xcore import get_model
from xautodl.xlayers import super_core, trunc_normal_
from lfna_utils import lfna_setup, train_model, TimeData
from lfna_meta_model import LFNA_Meta
from xautodl.lfna_utils import lfna_setup, train_model, TimeData
from xautodl.lfna_meta_model import LFNA_Meta
def epoch_train(loader, meta_model, base_model, optimizer, criterion, device, logger):

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lib Symbolic link
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xautodl

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setup.py Normal file
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#####################################################
# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2021.05 #
#####################################################
"""The setup function for pypi."""
# The following is to make nats_bench avaliable on Python Package Index (PyPI)
#
# conda install -c conda-forge twine # Use twine to upload nats_bench to pypi
#
# python setup.py sdist bdist_wheel
# python setup.py --help-commands
# twine check dist/*
#
# twine upload --repository-url https://test.pypi.org/legacy/ dist/*
# twine upload dist/*
# https://pypi.org/project/xautodl
#
# TODO(xuanyidong): upload it to conda
#
# [2021.05.18] v1.0
import os
from setuptools import setup
NAME = "xautodl"
REQUIRES_PYTHON = ">=3.6"
DESCRIPTION = "Automated Deep Learning Package"
VERSION = "0.9.9"
def read(fname="README.md"):
with open(os.path.join(os.path.dirname(__file__), fname), encoding="utf-8") as cfile:
return cfile.read()
# What packages are required for this module to be executed?
REQUIRED = ["numpy>=1.16.5,<=1.19.5"]
setup(
name=NAME,
version=VERSION,
author="Xuanyi Dong",
author_email="dongxuanyi888@gmail.com",
description=DESCRIPTION,
license="MIT Licence",
keywords="NAS Dataset API DeepLearning",
url="https://github.com/D-X-Y/AutoDL-Projects",
packages=["xautodl"],
install_requires=REQUIRED,
python_requires=REQUIRES_PYTHON,
long_description=read("README.md"),
long_description_content_type="text/markdown",
classifiers=[
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Topic :: Database",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"License :: OSI Approved :: MIT License",
],
)

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xautodl/__init__.py Normal file
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#####################################################
# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2021.05 #
#####################################################
# An Automated Deep Learning Package to support #
# research activities. #
#####################################################

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