1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
*
* 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.
*/
#include "kernels/Slice.h"
#include "kernels/TestUtils.h"
namespace luci_interpreter
{
namespace kernels
{
namespace
{
using namespace testing;
template <typename T> class SliceTest : public ::testing::Test
{
};
using DataTypes = ::testing::Types<float, uint8_t>;
TYPED_TEST_CASE(SliceTest, DataTypes);
TYPED_TEST(SliceTest, SimpleTest)
{
std::vector<TypeParam> input_data{1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6};
Shape input_shape{3, 2, 3, 1};
std::vector<int32_t> begin_data{1, 0, 0, 0};
Shape begin_shape{4};
std::vector<int32_t> size_data{2, 1, -1, 1};
Shape size_shape{4};
std::vector<TypeParam> output_data{3, 3, 3, 5, 5, 5};
std::vector<int32_t> output_shape{2, 1, 3, 1};
Tensor input_tensor = makeInputTensor<getElementType<TypeParam>()>(input_shape, input_data);
Tensor begin_tensor = makeInputTensor<DataType::S32>(begin_shape, begin_data);
Tensor size_tensor = makeInputTensor<DataType::S32>(size_shape, size_data);
Tensor output_tensor = makeOutputTensor(getElementType<TypeParam>());
Slice kernel(&input_tensor, &begin_tensor, &size_tensor, &output_tensor);
kernel.configure();
kernel.execute();
EXPECT_THAT(extractTensorData<TypeParam>(output_tensor),
::testing::ElementsAreArray(output_data));
EXPECT_THAT(extractTensorShape(output_tensor), ::testing::ElementsAreArray(output_shape));
}
} // namespace
} // namespace kernels
} // namespace luci_interpreter
|
