import torch
import numpy as np

import torch_npu

from torch_npu.testing.testcase import TestCase, run_tests
from torch_npu.testing.common_utils import create_common_tensor


class TestStrideAdd(TestCase):
    def npu_op_exec(self, input1, input2, offset1, offset2, c1_len):
        output = torch_npu.npu_stride_add(input1, input2, offset1, offset2, c1_len)
        output = output.to("cpu")
        output = output.numpy()

        return output

    def test_StrideAdd(self):
        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)


if __name__ == "__main__":
    run_tests()