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# ============================================================================ 15import numpy as np 16import pytest 17import mindspore.context as context 18import mindspore.nn as nn 19from mindspore import Tensor 20from mindspore.ops import operations as P 21 22 23class Net(nn.Cell): 24 def __init__(self, axis): 25 super(Net, self).__init__() 26 self.squeeze = P.Squeeze(axis) 27 28 def construct(self, x): 29 return self.squeeze(x) 30 31 32def get_output(x, axis=(), enable_graph_kernel=False): 33 context.set_context(enable_graph_kernel=enable_graph_kernel) 34 net = Net(axis) 35 output = net(x) 36 return output 37 38 39def test_squeeze(shape, dtype, axis=()): 40 x = Tensor(np.random.normal(0, 10, shape).astype(dtype)) 41 expect = get_output(x, axis, False) 42 output = get_output(x, axis, True) 43 assert np.allclose(expect.asnumpy(), output.asnumpy(), 0.0001, 0.0001) 44 45 46@pytest.mark.level0 47@pytest.mark.platform_x86_gpu_training 48@pytest.mark.env_onecard 49def test_squeeze_gpu(): 50 context.set_context(mode=context.GRAPH_MODE, device_target="GPU") 51 test_squeeze((1, 16, 1, 1), np.int32) 52 test_squeeze((1, 16, 1, 1), np.float32, (0, 2)) 53