1# Copyright 2021 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 22 23 24class Net(nn.Cell): 25 def __init__(self): 26 super(Net, self).__init__() 27 self.slice = P.Slice() 28 29 def construct(self, x, begin, size): 30 return self.slice(x, begin, size) 31 32 33def get_output(x, begin, size, enable_graph_kernel=False): 34 context.set_context(enable_graph_kernel=enable_graph_kernel) 35 net = Net() 36 output = net(x, begin, size) 37 return output 38 39 40def test_slice(): 41 in1 = np.array([[[1, -1, 1], [2, -2, 2]], [[3, -3, 3], [4, -4, 4]], [[5, -5, 5], [6, -6, 6]]]).astype(np.float32) 42 x1 = Tensor(in1) 43 begin1 = (0, 1, 0) 44 size1 = (2, 1, 3) 45 expect = get_output(x1, begin1, size1, False) 46 output = get_output(x1, begin1, size1, True) 47 assert np.allclose(expect.asnumpy(), output.asnumpy(), 0.0001, 0.0001) 48 49 50@pytest.mark.level0 51@pytest.mark.platform_x86_gpu_training 52@pytest.mark.env_onecard 53def test_slice_gpu(): 54 context.set_context(mode=context.GRAPH_MODE, device_target="GPU") 55 test_slice() 56