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 16import numpy as np 17import pytest 18import mindspore.context as context 19import mindspore.nn as nn 20from mindspore import Tensor 21from mindspore.ops import operations as P 22from mindspore.common import dtype as mstype 23 24context.set_context(mode=context.GRAPH_MODE, device_target="GPU") 25 26 27class Net(nn.Cell): 28 def __init__(self, fill_mode=0): 29 super(Net, self).__init__() 30 self.det_triangle = P.DetTriangle(fill_mode=fill_mode) 31 32 def construct(self, x): 33 return self.det_triangle(x) 34 35@pytest.mark.level2 36@pytest.mark.platform_x86_gpu_training 37@pytest.mark.env_onecard 38def test_net_1D(): 39 fill_mode = 0 40 input_x = np.array([[1, 0, 0], [2, 3, 0], [4, 5, 6]]).astype(np.float32) 41 net = Net(fill_mode=fill_mode) 42 tx = Tensor(input_x, mstype.float32) 43 output = net(tx) 44 assert output == 18 45