# 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 TestSlice(TestCase):
   def npu_op_exec(self, input1, offset, sizes):
        output = torch.npu_slice(input1, offset, sizes)
        output = output.to("cpu")
        output = output.numpy()
        return output

   def test_slice_int32(self, device):
        input    = torch.tensor([[1,2,3,4,5], [6,7,8,9,10]]).npu()
        exoutput = torch.tensor([[1,2],[6,7]])
        output   = self.npu_op_exec(input, [0, 0], [2, 2])
        self.assertRtolEqual(exoutput.numpy(), output) 

instantiate_device_type_tests(TestSlice, globals(), except_for="cpu")
if __name__ == "__main__":
    run_tests()
