79 lines
2.4 KiB
Python
79 lines
2.4 KiB
Python
# copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
|
|
import paddle
|
|
from paddle.distributed import ParallelEnv
|
|
|
|
import argparse
|
|
import os
|
|
import sys
|
|
__dir__ = os.path.dirname(os.path.abspath(__file__))
|
|
sys.path.append(__dir__)
|
|
sys.path.append(os.path.abspath(os.path.join(__dir__, '..')))
|
|
|
|
from ppcls.utils import logger
|
|
from ppcls.utils.save_load import init_model
|
|
from ppcls.utils.config import get_config
|
|
from ppcls.data import Reader
|
|
import program
|
|
|
|
|
|
def parse_args():
|
|
parser = argparse.ArgumentParser("PaddleClas eval script")
|
|
parser.add_argument(
|
|
'-c',
|
|
'--config',
|
|
type=str,
|
|
default='./configs/eval.yaml',
|
|
help='config file path')
|
|
parser.add_argument(
|
|
'-o',
|
|
'--override',
|
|
action='append',
|
|
default=[],
|
|
help='config options to be overridden')
|
|
args = parser.parse_args()
|
|
return args
|
|
|
|
|
|
def main(args, return_dict={}):
|
|
config = get_config(args.config, overrides=args.override, show=True)
|
|
config.mode = "valid"
|
|
# assign place
|
|
use_gpu = config.get("use_gpu", True)
|
|
place = 'gpu:{}'.format(ParallelEnv().dev_id) if use_gpu else 'cpu'
|
|
place = paddle.set_device(place)
|
|
|
|
use_data_parallel = int(os.getenv("PADDLE_TRAINERS_NUM", 1)) != 1
|
|
config["use_data_parallel"] = use_data_parallel
|
|
|
|
net = program.create_model(config.ARCHITECTURE, config.classes_num)
|
|
if config["use_data_parallel"]:
|
|
strategy = paddle.distributed.init_parallel_env()
|
|
net = paddle.DataParallel(net, strategy)
|
|
|
|
init_model(config, net, optimizer=None)
|
|
valid_dataloader = Reader(config, 'valid', places=place)()
|
|
net.eval()
|
|
|
|
top1_acc = program.run(valid_dataloader, config, net, None, None, 0,
|
|
'valid')
|
|
return_dict["top1_acc"] = top1_acc
|
|
return top1_acc
|
|
|
|
|
|
if __name__ == '__main__':
|
|
args = parse_args()
|
|
main(args)
|