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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.
- # ============================================================================
- """
- ##############export checkpoint file into air, onnx, mindir models#################
- python export.py
- """
- import argparse
- import numpy as np
-
- import mindspore as ms
- from mindspore import context, Tensor, load_checkpoint, load_param_into_net, export
- from src.fast_scnn import FastSCNN
-
-
- ## Params
- parser = argparse.ArgumentParser()
-
- parser.add_argument('--batch_size', default=1, type=int, help='batch size')
- parser.add_argument('--aux', action='store_true', default=True, help='Auxiliary loss')
- parser.add_argument("--image_height", type=int, default=768, help="Image height.")
- parser.add_argument("--image_width", type=int, default=768, help="Image width.")
- parser.add_argument("--ckpt_file", type=str, required=True, help="Checkpoint file path.")
- parser.add_argument("--file_name", type=str, default="fastscnn", help="output file name.")
- parser.add_argument("--file_format", type=str, choices=["AIR", "ONNX", "MINDIR"], default="AIR", help="file format")
- parser.add_argument('--device_target', type=str, default='Ascend'
- , help='device where the code will be implemented. (Default: Ascend)')
- parser.add_argument("--device_id", type=int, default=0, help="Device id")
-
- args_opt = parser.parse_args()
-
- context.set_context(mode=context.GRAPH_MODE, device_target=args_opt.device_target, device_id=args_opt.device_id)
-
- if __name__ == '__main__':
-
- net = FastSCNN(num_classes=19, aux=args_opt.aux)
-
- param_dict = load_checkpoint(args_opt.ckpt_file)
- load_param_into_net(net, param_dict)
-
- input_arr = Tensor(np.zeros([args_opt.batch_size, 3, \
- args_opt.image_height, args_opt.image_width]), ms.float32)
- export(net, input_arr, file_name=args_opt.file_name, file_format=args_opt.file_format)
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