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# ============================================================================ 15 16"""Resnet test.""" 17 18import numpy as np 19 20import mindspore.context as context 21from mindspore import Tensor 22from mindspore.common.api import _cell_graph_executor 23from .resnet_example import resnet50 24from ..train_step_wrap import train_step_with_loss_warp 25 26context.set_context(mode=context.GRAPH_MODE) 27 28 29def test_train_step(): 30 net = train_step_with_loss_warp(resnet50()) 31 net.set_train() 32 inp = Tensor(np.ones([1, 3, 224, 224], np.float32)) 33 label = Tensor(np.zeros([1, 10], np.float32)) 34 _cell_graph_executor.compile(net, inp, label) 35