autodl-projects/xautodl/nas_infer_model/__init__.py
2021-05-18 14:08:00 +00:00

32 lines
1.6 KiB
Python

#####################################################
# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2019.01 #
#####################################################
# I write this package to make AutoDL-Projects to be compatible with the old GDAS projects.
# Ideally, this package will be merged into lib/models/cell_infers in future.
# Currently, this package is used to reproduce the results in GDAS (Searching for A Robust Neural Architecture in Four GPU Hours, CVPR 2019).
##################################################
import os, torch
def obtain_nas_infer_model(config, extra_model_path=None):
if config.arch == 'dxys':
from .DXYs import CifarNet, ImageNet, Networks
from .DXYs import build_genotype_from_dict
if config.genotype is None:
if extra_model_path is not None and not os.path.isfile(extra_model_path):
raise ValueError('When genotype in confiig is None, extra_model_path must be set as a path instead of {:}'.format(extra_model_path))
xdata = torch.load(extra_model_path)
current_epoch = xdata['epoch']
genotype_dict = xdata['genotypes'][current_epoch-1]
genotype = build_genotype_from_dict(genotype_dict)
else:
genotype = Networks[config.genotype]
if config.dataset == 'cifar':
return CifarNet(config.ichannel, config.layers, config.stem_multi, config.auxiliary, genotype, config.class_num)
elif config.dataset == 'imagenet':
return ImageNet(config.ichannel, config.layers, config.auxiliary, genotype, config.class_num)
else: raise ValueError('invalid dataset : {:}'.format(config.dataset))
else:
raise ValueError('invalid nas arch type : {:}'.format(config.arch))