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""" test_parser_operator """ 16import pytest 17import numpy as np 18from mindspore import context 19from mindspore.nn import ReLU 20from mindspore.nn import Cell 21from mindspore.common.tensor import Tensor 22 23def setup_module(): 24 context.set_context(mode=context.PYNATIVE_MODE, device_target="Ascend") 25 26@pytest.mark.level0 27@pytest.mark.platform_arm_ascend_training 28@pytest.mark.platform_x86_ascend_training 29@pytest.mark.env_onecard 30def test_parser_operator_floor_div(): 31 class Net(Cell): 32 def __init__(self): 33 super(Net, self).__init__() 34 self.relu = ReLU() 35 36 def construct(self, x): 37 x = self.relu(x) 38 x = 3 // x 39 return x 40 41 input_np_x = np.array(2).astype(np.float32) 42 input_me_x = Tensor(input_np_x) 43 net = Net() 44 out_me = net(input_me_x) 45 46 assert np.allclose(out_me.asnumpy(), 3 // input_np_x, 0.001, 0.001) 47