text: # Copyright 2020 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.
  # ============================================================================
  from mindspore import Tensor
  from mindspore.ops import operations as P
  import mindspore.nn as nn
  from mindspore.common.api import ms_function
  import numpy as np
  import mindspore.context as context
  context.set_context(device_target="Ascend")
  class Net(nn.Cell):
      def __init__(self):
          super(Net, self).__init__()
          self.npu_get_float_status = P.NPUGetFloatStatus()
  
      @ms_function
      def construct(self, x1):
          return self.npu_get_float_status(x1)
  
  x1 = np.random.randn(8).astype(np.float32)
  
  def test_net():
      npu_get_float_status = Net()
      output = npu_get_float_status(Tensor(x1))
      print(x1)
      print(output.asnumpy())
  
  