KleidiAI Coverage Report


Directory: ./
File: test/reference/dwconv.hpp
Date: 2025-10-20 13:18:31
Coverage Exec Excl Total
Lines: 66.7% 6 0 9
Functions: 50.0% 1 0 2
Branches: 0.0% 0 0 6

Line Branch Exec Source
1 //
2 // SPDX-FileCopyrightText: Copyright 2025 Arm Limited and/or its affiliates <open-source-office@arm.com>
3 //
4 // SPDX-License-Identifier: Apache-2.0
5 //
6
7 #pragma once
8 #include <cstddef>
9
10 #include "test/common/buffer.hpp"
11 #include "test/common/data_type.hpp"
12 #include "test/common/memory.hpp"
13
14 namespace kai::test {
15
16 struct Padding2D {
17 size_t left;
18 size_t right;
19 size_t top;
20 size_t bottom;
21
22 struct Hash {
23 120 size_t operator()(const Padding2D pad) const {
24 120 return //
25 240 (std::hash<size_t>{}(pad.left) << 0) ^ //
26 240 (std::hash<size_t>{}(pad.right) << 1) ^ //
27 240 (std::hash<size_t>{}(pad.top) << 2) ^ //
28 120 (std::hash<size_t>{}(pad.bottom) << 3);
29 }
30 };
31
32 private:
33 friend bool operator==(const Padding2D& lhs, const Padding2D& rhs) {
34 return //
35 lhs.left == rhs.left && lhs.right == rhs.right && lhs.top == rhs.top && lhs.bottom == rhs.bottom;
36 }
37
38 friend std::ostream& operator<<(std::ostream& os, const Padding2D& pad);
39 };
40
41 void PrintTo(const Padding2D& pad, std::ostream* os);
42
43 /// Depthwise Convolution function
44 ///
45 /// @tparam T Data type.
46 ///
47 /// @param[in] batches Batch dimension of feature map.
48 /// @param[in] in_height height of feature map.
49 /// @param[in] in_width width of feature map.
50 /// @param[in] channels Number of channels in feature map.
51 /// @param[in] filter_height Height dimension in filter.
52 /// @param[in] filter_width Width of convolution filter.
53 /// @param[in] feature_map Ptr to start of feature map.
54 /// @param[in] weights Ptr to start of weights buffer/tensor.
55 /// @param[in] bias Ptr to start of bias buffer.
56 /// @param[in] pad Padding object.
57 ///
58 /// @return The result data buffer.
59 template <typename T>
60 Buffer depthwise_reference(
61 const size_t batches, const size_t in_height, const size_t in_width, const size_t channels,
62 const size_t filter_height, const size_t filter_width, const void* feature_map, const void* weights,
63 const void* bias, const Padding2D& pad);
64
65 } // namespace kai::test
66