KleidiAI Coverage Report


Directory: ./
File: kai/ukernels/matmul/pack/kai_rhs_pack_kxn_x16p32x1b_x16_x16_neon.c
Date: 2025-10-20 13:18:31
Coverage Exec Excl Total
Lines: 100.0% 28 12 40
Functions: 100.0% 7 0 7
Branches: -% 0 24 24

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 #if (!defined(__aarch64__)) && !defined(_M_ARM64)
8 #error This file must be compiled for AArch64.
9 #else // Architectural features check.
10
11 #include "kai_rhs_pack_kxn_x16p32x1b_x16_x16_neon.h"
12
13 #include <stddef.h>
14 #include <stdint.h>
15
16 #include "kai/kai_common.h"
17
18 enum {
19 NR = 32,
20 KR = 1,
21 };
22
23 typedef struct {
24 const void* bias_ptr;
25 size_t width;
26 size_t height;
27 size_t in_stride;
28 size_t out_stride;
29 const void* in;
30 void* out;
31 } KernelArgs;
32
33 static const size_t kai_num_bytes_input = sizeof(uint16_t);
34 static const size_t kai_num_bytes_output = sizeof(uint16_t);
35 static const size_t kai_num_bytes_bias = sizeof(uint16_t);
36
37 void kai_kernel_rhs_pack_kxn_x16p32x1b_x16_x16_neon(const KernelArgs* args_ptr);
38
39 374 size_t kai_get_n_step_rhs_pack_kxn_x16p32x1b_x16_x16_neon(void) {
40 374 return NR;
41 }
42
43 34 size_t kai_get_rhs_offset_rhs_pack_kxn_x16p32x1b_x16_x16_neon(size_t n_idx) {
44 KAI_ASSUME(n_idx % kai_get_n_step_rhs_pack_kxn_x16p32x1b_x16_x16_neon() == 0);
45
46 34 return n_idx * kai_num_bytes_input;
47 }
48
49 34 size_t kai_get_bias_offset_rhs_pack_kxn_x16p32x1b_x16_x16_neon(size_t n_idx) {
50 34 return n_idx * kai_num_bytes_bias;
51 }
52
53 102 size_t kai_get_rhs_packed_stride_rhs_pack_kxn_x16p32x1b_x16_x16_neon(size_t k) {
54 204 return kai_get_n_step_rhs_pack_kxn_x16p32x1b_x16_x16_neon() *
55 102 (kai_num_bytes_bias + kai_roundup(k, KR) * kai_num_bytes_output);
56 }
57
58 68 size_t kai_get_rhs_packed_offset_rhs_pack_kxn_x16p32x1b_x16_x16_neon(size_t n_idx, size_t k) {
59 KAI_ASSUME(n_idx % kai_get_n_step_rhs_pack_kxn_x16p32x1b_x16_x16_neon() == 0);
60
61 68 const size_t block_idx = n_idx / kai_get_n_step_rhs_pack_kxn_x16p32x1b_x16_x16_neon();
62 136 return block_idx * kai_get_rhs_packed_stride_rhs_pack_kxn_x16p32x1b_x16_x16_neon(k);
63 68 }
64
65 34 size_t kai_get_rhs_packed_size_rhs_pack_kxn_x16p32x1b_x16_x16_neon(size_t n, size_t k) {
66 34 const size_t n_nr_blocks = kai_roundup(n, kai_get_n_step_rhs_pack_kxn_x16p32x1b_x16_x16_neon());
67 68 return kai_get_rhs_packed_offset_rhs_pack_kxn_x16p32x1b_x16_x16_neon(n_nr_blocks, k);
68 34 }
69
70 34 void kai_run_rhs_pack_kxn_x16p32x1b_x16_x16_neon(
71 size_t num_groups, size_t n, size_t k, size_t nr, size_t kr, size_t sr, size_t rhs_stride_row, const void* rhs,
72 const void* bias, const void* scale, void* rhs_packed, size_t extra_bytes, const void* params) {
73 KAI_ASSUME(num_groups == 1);
74 KAI_ASSUME(nr == kai_get_n_step_rhs_pack_kxn_x16p32x1b_x16_x16_neon());
75 KAI_ASSUME(kr == KR);
76 KAI_ASSUME(sr == 1);
77 KAI_ASSUME(rhs != NULL);
78 KAI_ASSUME(bias != NULL);
79 KAI_ASSUME(scale == NULL);
80 KAI_ASSUME(rhs_packed != NULL);
81 KAI_ASSUME(extra_bytes == 0);
82 KAI_ASSUME(params == NULL);
83
84 34 KernelArgs args;
85 34 args.bias_ptr = bias;
86 34 args.height = k;
87 34 args.width = n;
88 34 args.in = rhs;
89 34 args.out = rhs_packed;
90 34 args.in_stride = rhs_stride_row;
91 34 args.out_stride = kai_get_rhs_packed_stride_rhs_pack_kxn_x16p32x1b_x16_x16_neon(args.height);
92
93 34 kai_kernel_rhs_pack_kxn_x16p32x1b_x16_x16_neon(&args);
94 34 }
95
96 #endif // Architectural features check.
97