text: # Copyright 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
  from mindspore import Tensor
  from mindspore.nn import Cell
  import mindspore.ops.operations as P
  
  
  class Net(Cell):
      def __init__(self):
          super(Net, self).__init__()
          self.addn = P.AddN()
  
      def construct(self, *args):
          return self.addn(*args)
  
  
  def get_output(*tensors):
      net = Net()
      output = net(tensors)
      return output
  
  
  def test_basic():
      np.random.seed(0)
      tensors = []
      expect = np.array([0], np.float32)
      for _ in range(10):
          t = np.random.normal(0, 1, [2, 3, 4, 3]).astype(np.float32)
          expect = t + expect
          tensors.append(Tensor(t))
  
      output = get_output(*tensors).asnumpy()
  
      assert np.allclose(expect, output, 1.e-4, 1.e-7)
  
  
  @pytest.mark.level0
  @pytest.mark.platform_x86_gpu_training
  @pytest.mark.env_onecard
  def test_basic_gpu():
      context.set_context(mode=context.GRAPH_MODE, device_target="GPU", enable_graph_kernel=True)
      test_basic()
  
  
  @pytest.mark.level0
  @pytest.mark.platform_arm_ascend_training
  @pytest.mark.platform_x86_ascend_training
  @pytest.mark.env_onecard
  def test_basic_ascend():
      context.set_context(mode=context.GRAPH_MODE, device_target="Ascend", enable_graph_kernel=True)
      test_basic()
  