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 18 19import mindspore.context as context 20import mindspore.nn as nn 21from mindspore import Tensor 22from mindspore.ops import operations as P 23 24context.set_context(mode=context.GRAPH_MODE, device_target='CPU') 25 26 27class StridedSlice(nn.Cell): 28 def __init__(self): 29 super(StridedSlice, self).__init__() 30 self.stridedslice = P.StridedSlice() 31 32 def construct(self, x): 33 return self.stridedslice(x, (2, 0, 0), (3, 2, 3), (1, 1, 1)) 34 35 36@pytest.mark.level0 37@pytest.mark.platform_x86_cpu 38@pytest.mark.env_onecard 39def test_slice(): 40 x = Tensor(np.array([[[1., 1., 1.], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]], [[5, 5, 5], [6, 7, 8]]]).astype(np.float32)) 41 stridedslice = StridedSlice() 42 output = stridedslice(x) 43 expect = [[[5., 5., 5.], 44 [6., 7., 8.]]] 45 assert (output.asnumpy() == expect).all() 46 47if __name__ == '__main__': 48 test_slice() 49