From d8044bd095f08f7a91924bf6afd9cfe95e80ef58 Mon Sep 17 00:00:00 2001 From: jzg Date: Sun, 27 Sep 2020 15:17:01 +0800 Subject: [PATCH] add export.py to deeplabv3 --- model_zoo/official/cv/deeplabv3/export.py | 45 +++++++++++++++++++++++ 1 file changed, 45 insertions(+) create mode 100644 model_zoo/official/cv/deeplabv3/export.py diff --git a/model_zoo/official/cv/deeplabv3/export.py b/model_zoo/official/cv/deeplabv3/export.py new file mode 100644 index 0000000000..bcac7b125e --- /dev/null +++ b/model_zoo/official/cv/deeplabv3/export.py @@ -0,0 +1,45 @@ +# 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 AIR file.""" +import argparse +import numpy as np + +from mindspore import Tensor +from mindspore import context +from mindspore.train.serialization import load_checkpoint, load_param_into_net +from mindspore.train.serialization import export + +from src.nets import net_factory + +context.set_context(mode=context.GRAPH_MODE, save_graphs=False) + +if __name__ == '__main__': + parser = argparse.ArgumentParser(description='checkpoint export') + parser.add_argument('--checkpoint', type=str.lower, default='', help='checkpoint of deeplabv3 (Default: None)') + parser.add_argument('--model', type=str.lower, default='deeplab_v3_s8', choices=['deeplab_v3_s16', 'deeplab_v3_s8'], + help='Select model structure (Default: deeplab_v3_s8)') + parser.add_argument('--num_classes', type=int, default=21, help='the number of classes (Default: 21)') + args = parser.parse_args() + + if args.model == 'deeplab_v3_s16': + network = net_factory.nets_map['deeplab_v3_s16']('eval', args.num_classes, 16, True) + else: + network = net_factory.nets_map['deeplab_v3_s8']('eval', args.num_classes, 8, True) + param_dict = load_checkpoint(args.checkpoint) + + # load the parameter into net + load_param_into_net(network, param_dict) + input_data = np.random.uniform(0.0, 1.0, size=[32, 3, 513, 513]).astype(np.float32) + export(network, Tensor(input_data), file_name=args.model+'-300_11.air', file_format='AIR')