forked from mindspore-Ecosystem/mindspore
49 lines
2.0 KiB
Python
49 lines
2.0 KiB
Python
# Copyright 2020 Huawei Technologies Co., Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ============================================================================
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"""
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mobilenetv3 export mindir.
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"""
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import argparse
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import numpy as np
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from mindspore import context, Tensor, load_checkpoint, load_param_into_net, export
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from src.config import config_gpu
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from src.config import config_cpu
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from src.mobilenetV3 import mobilenet_v3_large
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parser = argparse.ArgumentParser(description='Image classification')
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parser.add_argument('--checkpoint_path', type=str, required=True, help='Checkpoint file path')
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parser.add_argument('--device_target', type=str, default="GPU", help='run device_target')
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args_opt = parser.parse_args()
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if __name__ == '__main__':
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cfg = None
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if args_opt.device_target == "GPU":
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cfg = config_gpu
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context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
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elif args_opt.device_target == "CPU":
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cfg = config_cpu
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context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
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else:
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raise ValueError("Unsupported device_target.")
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net = mobilenet_v3_large(num_classes=cfg.num_classes, activation="Softmax")
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param_dict = load_checkpoint(args_opt.checkpoint_path)
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load_param_into_net(net, param_dict)
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input_shp = [1, 3, cfg.image_height, cfg.image_width]
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input_array = Tensor(np.random.uniform(-1.0, 1.0, size=input_shp).astype(np.float32))
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export(net, input_array, file_name=cfg.export_file, file_format=cfg.export_format)
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