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# Copyright 2021 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.
# ============================================================================
import os
import numpy as np
import mindspore as ms
from mindspore import context, Tensor
from mindspore.train.serialization import export, load_checkpoint
from src.yolo_tiny import YOLOV3_Tiny
from model_utils.config import config
def run_export():
devid = int(os.getenv('DEVICE_ID', '0'))
context.set_context(mode=context.GRAPH_MODE, device_target=config.device_target, device_id=devid)
network = YOLOV3_Tiny(training=False)
load_checkpoint(config.ckpt_file, network)
network.set_train(False)
shape = [config.batch_size, 3] + config.test_img_shape
input_data = Tensor(np.zeros(shape), ms.float32)
export(network, input_data, file_name=config.file_name, file_format=config.file_format)
if __name__ == "__main__":
run_export()
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