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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 file."""
-
- import argparse
- import numpy as np
- from mindspore import context, Tensor
- from mindspore.train.serialization import load_checkpoint, load_param_into_net
- from mindspore.train.serialization import export
- from src.model.generator import Generator
-
- parser = argparse.ArgumentParser(description="SRGAN export")
- parser.add_argument('--file_name', type=str, default='SRGAN', help='output file name prefix.')
- parser.add_argument('--file_format', type=str, choices=['AIR', 'ONNX', 'MINDIR'], default='AIR', \
- help='file format')
- parser.add_argument("--generator_path", type=str, default='./scripts/srgan0/src/ckpt/G_model_1000.ckpt')
- parser.add_argument("--device_id", type=int, default=0, help="device id, default: 0.")
-
- if __name__ == '__main__':
- args = parser.parse_args()
- context.set_context(mode=context.GRAPH_MODE, device_id=args.device_id)
- generator = Generator(4)
- params = load_checkpoint(args.generator_path)
- load_param_into_net(generator, params)
- generator.set_train(True)
- input_shp = [16, 3, 96, 96]
- input_array = Tensor(np.random.uniform(-1.0, 1.0, size=input_shp).astype(np.float32))
- G_file = f"{args.file_name}_model"
- export(generator, input_array, file_name=G_file, file_format=args.file_format)
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