text: # Copyright 2019-2021 Huawei Technologies Co., Ltd
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  # http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  # ============================================================================
  import numpy as np
  import pytest
  
  import mindspore.context as context
  import mindspore.nn as nn
  from mindspore import Tensor
  from mindspore.ops import operations as P
  
  class SqueezeNet(nn.Cell):
      def __init__(self):
          super(SqueezeNet, self).__init__()
          self.squeeze = P.Squeeze()
  
      def construct(self, tensor):
          return self.squeeze(tensor)
  
  
  def squeeze(nptype):
      context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
  
      np.random.seed(0)
      x = np.random.randn(1, 16, 1, 1).astype(nptype)
      net = SqueezeNet()
      output = net(Tensor(x))
      assert np.all(output.asnumpy() == x.squeeze())
  
  @pytest.mark.level0
  @pytest.mark.platform_x86_gpu_training
  @pytest.mark.env_onecard
  def test_squeeze_bool():
      squeeze(np.bool)
  
  @pytest.mark.level0
  @pytest.mark.platform_x86_gpu_training
  @pytest.mark.env_onecard
  def test_squeeze_uint8():
      squeeze(np.uint8)
  
  @pytest.mark.level0
  @pytest.mark.platform_x86_gpu_training
  @pytest.mark.env_onecard
  def test_squeeze_uint16():
      squeeze(np.uint16)
  
  @pytest.mark.level0
  @pytest.mark.platform_x86_gpu_training
  @pytest.mark.env_onecard
  def test_squeeze_uint32():
      squeeze(np.uint32)
  
  @pytest.mark.level0
  @pytest.mark.platform_x86_gpu_training
  @pytest.mark.env_onecard
  def test_squeeze_int8():
      squeeze(np.int8)
  
  @pytest.mark.level0
  @pytest.mark.platform_x86_gpu_training
  @pytest.mark.env_onecard
  def test_squeeze_int16():
      squeeze(np.int16)
  
  @pytest.mark.level0
  @pytest.mark.platform_x86_gpu_training
  @pytest.mark.env_onecard
  def test_squeeze_int32():
      squeeze(np.int32)
  
  @pytest.mark.level0
  @pytest.mark.platform_x86_gpu_training
  @pytest.mark.env_onecard
  def test_squeeze_int64():
      squeeze(np.int64)
  
  @pytest.mark.level0
  @pytest.mark.platform_x86_gpu_training
  @pytest.mark.env_onecard
  def test_squeeze_float16():
      squeeze(np.float16)
  
  @pytest.mark.level0
  @pytest.mark.platform_x86_gpu_training
  @pytest.mark.env_onecard
  def test_squeeze_float32():
      squeeze(np.float32)
  
  @pytest.mark.level0
  @pytest.mark.platform_x86_gpu_training
  @pytest.mark.env_onecard
  def test_squeeze_float64():
      squeeze(np.float64)
  