mindspore/model_zoo/official/cv/inceptionv4/export.py

# Copyright 2020 Huawei Technologies Co., Ltd
#
# 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.
# ============================================================================
"""
##############export checkpoint file into air and onnx models#################
"""
import argparse
import numpy as np

import mindspore as ms
from mindspore import Tensor
from mindspore.train.serialization import load_checkpoint, load_param_into_net, export

from src.config import config_ascend as config
from src.inceptionv4 import Inceptionv4

def parse_args():
    '''parse_args'''
    parser = argparse.ArgumentParser(description='checkpoint export')
    parser.add_argument('--model_name', type=str, default='inceptionV4.air', help='convert model name of inceptionv4')
    parser.add_argument('--format', type=str, default='AIR', help='convert model name of inceptionv4')
    parser.add_argument('--checkpoint', type=str, default='', help='checkpoint of inceptionv4')
    _args_opt = parser.parse_args()
    return _args_opt

if __name__ == '__main__':

    args_opt = parse_args()

    net = Inceptionv4(classes=config.num_classes)
    param_dict = load_checkpoint(args_opt.checkpoint)
    load_param_into_net(net, param_dict)

    input_arr = Tensor(np.random.uniform(0.0, 1.0, size=[1, 3, 299, 299]), ms.float32)
    export(net, input_arr, file_name=args_opt.model_name, file_format=args_opt.format)