PaddleClas/tools/eval.py

75 lines
2.3 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 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__, '..')))
import program
from ppcls.data import Reader
from ppcls.utils.config import get_config
from ppcls.utils.save_load import init_model
from ppcls.utils import logger
import paddle
from paddle.distributed import ParallelEnv
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):
config = get_config(args.config, overrides=args.override, show=True)
# assign place
use_gpu = config.get("use_gpu", True)
if use_gpu:
gpu_id = ParallelEnv().dev_id
place = paddle.CUDAPlace(gpu_id)
else:
place = paddle.CPUPlace()
paddle.disable_static(place)
strategy = paddle.distributed.init_parallel_env()
net = program.create_model(config.ARCHITECTURE, config.classes_num)
net = paddle.DataParallel(net, strategy)
init_model(config, net, optimizer=None)
valid_dataloader = program.create_dataloader()
valid_reader = Reader(config, 'valid')()
valid_dataloader.set_sample_list_generator(valid_reader, place)
net.eval()
top1_acc = program.run(valid_dataloader, config, net, None, 0, 'valid')
if __name__ == '__main__':
args = parse_args()
main(args)