|
- # 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, onnx, mindir models#################
- python export.py
- """
-
- import os
- # import sys
- # sys.path.append(os.path.join(os.getcwd(), 'utils'))
- from utils.config import config
-
- import numpy as np
- import mindspore as ms
- from mindspore import context, Tensor, load_checkpoint, load_param_into_net, export
- from src.alexnet import AlexNet
-
-
- if os.path.exists(config.data_path_local):
- ckpt_path = config.ckpt_path_local
- else:
- ckpt_path = os.path.join(config.data_path, 'checkpoint_alexnet-30_1562.ckpt')
-
- context.set_context(mode=context.GRAPH_MODE, device_target=config.device_target)
- if config.device_target == "Ascend":
- context.set_context(device_id=config.device_id)
-
- if __name__ == '__main__':
- net = AlexNet(num_classes=config.num_classes)
-
- param_dict = load_checkpoint(ckpt_path)
- load_param_into_net(net, param_dict)
-
- input_arr = Tensor(np.zeros([config.batch_size, 3, config.image_height, config.image_width]), ms.float32)
- export(net, input_arr, file_name=config.file_name, file_format=config.file_format)
|
