# 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 DPN
suggest run as python export.py --file_name [filename] --file_format [file format] --checkpoint_path [ckpt path]
"""
import argparse
import numpy as np
from mindspore import Tensor, context
from mindspore.train.serialization import export, load_checkpoint
from src.resnet import resnet152 as resnet
from src.config import config5 as config

parser = argparse.ArgumentParser(description="resnet152 export ")
parser.add_argument("--device_id", type=int, default=0, help="Device id")
parser.add_argument("--ckpt_file", type=str, required=True, help="checkpoint file path")
parser.add_argument("--dataset", type=str, default="imagenet2012", help="Dataset, either cifar10 or imagenet2012")
parser.add_argument("--width", type=int, default=224, help="input width")
parser.add_argument("--height", type=int, default=224, help="input height")
parser.add_argument("--file_name", type=str, default='resnet152', help="output file name")
parser.add_argument("--file_format", type=str, choices=['AIR', 'ONNX', 'MINDIR'], default='AIR', help="Device id")
parser.add_argument("--device_target", type=str, choices=['Ascend', 'GPU', 'CPU'], default='Ascend', help="target")
args = parser.parse_args()

context.set_context(mode=context.GRAPH_MODE, device_target=args.device_target)

if __name__ == "__main__":
    target = args.device_target
    if target != "GPU":
        context.set_context(device_id=args.device_id)
    # define net
    network = resnet(class_num=config.class_num)
    param_dict = load_checkpoint(args.ckpt_file, net=network)
    network.set_train(False)
    input_data = Tensor(np.zeros([1, 3, args.height, args.width]).astype(np.float32))
    export(network, input_data, file_name=args.file_name, file_format=args.file_format)

# 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 DPN
suggest run as python export.py --file_name [filename] --file_format [file format] --checkpoint_path [ckpt path]
"""
import argparse
import numpy as np
from mindspore import Tensor, context
from mindspore.train.serialization import export, load_checkpoint
from src.resnet import resnet152 as resnet
from src.config import config5 as config

parser = argparse.ArgumentParser(description="resnet152 export ")
parser.add_argument("--device_id", type=int, default=0, help="Device id")
parser.add_argument("--ckpt_file", type=str, required=True, help="checkpoint file path")
parser.add_argument("--dataset", type=str, default="imagenet2012", help="Dataset, either cifar10 or imagenet2012")
parser.add_argument("--width", type=int, default=224, help="input width")
parser.add_argument("--height", type=int, default=224, help="input height")
parser.add_argument("--file_name", type=str, default='resnet152', help="output file name")
parser.add_argument("--file_format", type=str, choices=['AIR', 'ONNX', 'MINDIR'], default='AIR', help="Device id")
parser.add_argument("--device_target", type=str, choices=['Ascend', 'GPU', 'CPU'], default='Ascend', help="target")
args = parser.parse_args()

context.set_context(mode=context.GRAPH_MODE, device_target=args.device_target)

if __name__ == "__main__":
    target = args.device_target
    if target != "GPU":
        context.set_context(device_id=args.device_id)
    # define net
    network = resnet(class_num=config.class_num)
    param_dict = load_checkpoint(args.ckpt_file, net=network)
    network.set_train(False)
    input_data = Tensor(np.zeros([1, 3, args.height, args.width]).astype(np.float32))
    export(network, input_data, file_name=args.file_name, file_format=args.file_format)

# 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 DPN suggest run as python export.py --file_name [filename] --file_format [file format] --checkpoint_path [ckpt path] # define net