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37 lines
1.4 KiB
37 lines
1.4 KiB
# 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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##############export checkpoint file into geir and onnx models#################
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python export.py
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"""
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import numpy as np
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import mindspore as ms
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from mindspore import Tensor
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from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
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from src.config import cifar_cfg as cfg
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from src.googlenet import GoogleNet
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if __name__ == '__main__':
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net = GoogleNet(num_classes=cfg.num_classes)
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param_dict = load_checkpoint(cfg.checkpoint_path)
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load_param_into_net(net, param_dict)
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input_arr = Tensor(np.random.uniform(0.0, 1.0, size=[1, 3, 224, 224]), ms.float32)
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export(net, input_arr, file_name=cfg.onnx_filename, file_format="ONNX")
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export(net, input_arr, file_name=cfg.geir_filename, file_format="GEIR")
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