text: # Copyright (c) 2020, Huawei Technologies.All rights reserved.
  #
  # Licensed under the BSD 3-Clause License  (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  # https://opensource.org/licenses/BSD-3-Clause
  #
  # 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 torch
  import numpy as np
  from common_device_type import dtypes, instantiate_device_type_tests
  from util_test import create_common_tensor
  from common_utils import TestCase, run_tests
  
  
  class TestStrideAdd(TestCase):
     def npu_op_exec(self, input1, input2, offset1, offset2, c1_len):
          output = torch.npu_stride_add(input1, input2, offset1, offset2, c1_len)
          output = output.to("cpu")
          output = output.numpy()
  
          return output
  
     def test_StrideAdd(self, device):
          input1  = torch.tensor([[[[[1.]]]]]).npu()
          input2  = input1
          exoutput = torch.tensor([[[[[2.]]],[[[0.]]],[[[0.]]],[[[0.]]],[[[0.]]],[[[0.]]],[[[0.]]],[[[0.]]],
  		 [[[0.]]],[[[0.]]],[[[0.]]],[[[0.]]],[[[0.]]],[[[0.]]],[[[0.]]],[[[0.]]]]])
          output  = self.npu_op_exec(input1, input2, 0, 0, 1) 
          self.assertRtolEqual(exoutput.numpy(), output)
  
  instantiate_device_type_tests(TestStrideAdd, globals(), except_for="cpu")
  if __name__ == "__main__":
      run_tests()