1# Copyright 2020 Huawei Technologies Co., Ltd 2# 3# Licensed under the Apache License, Version 2.0 (the "License"); 4# you may not use this file except in compliance with the License. 5# You may obtain a copy of the License at 6# 7# http://www.apache.org/licenses/LICENSE-2.0 8# 9# Unless required by applicable law or agreed to in writing, software 10# distributed under the License is distributed on an "AS IS" BASIS, 11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12# See the License for the specific language governing permissions and 13# limitations under the License. 14# ============================================================================ 15import numpy as np 16from resnet_torch import resnet50 17 18from mindspore import Tensor 19from mindspore.train.serialization import context, export 20 21context.set_context(mode=context.GRAPH_MODE, device_target="Ascend") 22 23 24def test_resnet50_export(batch_size=1, num_classes=5): 25 input_np = np.random.uniform(0.0, 1.0, size=[batch_size, 3, 224, 224]).astype(np.float32) 26 net = resnet50(batch_size, num_classes) 27 export(net, Tensor(input_np), file_name="./me_resnet50.pb", file_format="AIR") 28