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- # 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"""
-
- import numpy as np
- from src.model_utils.config import config
- from src.model_utils.device_adapter import get_device_id
- from src.model_utils.moxing_adapter import moxing_wrapper
- from src.maskrcnn.mask_rcnn_r50 import MaskRcnn_Infer
- from mindspore import Tensor, context, load_checkpoint, load_param_into_net, export
-
-
- if not config.enable_modelarts:
- config.ckpt_file = config.ckpt_file_local
-
- context.set_context(mode=context.GRAPH_MODE, device_target=config.device_target)
- if config.device_target == "Ascend":
- context.set_context(device_id=get_device_id())
-
- def modelarts_process():
- pass
-
- @moxing_wrapper(pre_process=modelarts_process)
- def export_maskrcnn():
- """ export_maskrcnn """
- config.test_batch_size = config.batch_size
- net = MaskRcnn_Infer(config=config)
- param_dict = load_checkpoint(config.ckpt_file)
-
- param_dict_new = {}
- for key, value in param_dict.items():
- param_dict_new["network." + key] = value
-
- load_param_into_net(net, param_dict_new)
- net.set_train(False)
-
- img = Tensor(np.zeros([config.batch_size, 3, config.img_height, config.img_width], np.float16))
- img_metas = Tensor(np.zeros([config.batch_size, 4], np.float16))
-
- input_data = [img, img_metas]
- export(net, *input_data, file_name=config.file_name, file_format=config.file_format)
-
- if __name__ == '__main__':
- export_maskrcnn()
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