xref: /aosp_15_r20/external/ComputeLibrary/src/cpu/kernels/pool2d/neon/list.h (revision c217d954acce2dbc11938adb493fc0abd69584f3)
1 /*
2  * Copyright (c) 2021 Arm Limited.
3  *
4  * SPDX-License-Identifier: MIT
5  *
6  * Permission is hereby granted, free of charge, to any person obtaining a copy
7  * of this software and associated documentation files (the "Software"), to
8  * deal in the Software without restriction, including without limitation the
9  * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10  * sell copies of the Software, and to permit persons to whom the Software is
11  * furnished to do so, subject to the following conditions:
12  *
13  * The above copyright notice and this permission notice shall be included in all
14  * copies or substantial portions of the Software.
15  *
16  * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17  * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18  * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19  * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20  * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21  * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22  * SOFTWARE.
23  */
24 #ifndef SRC_CORE_NEON_KERNELS_POOLING_LIST_H
25 #define SRC_CORE_NEON_KERNELS_POOLING_LIST_H
26 
27 #include "arm_compute/core/Types.h"
28 #include "arm_compute/core/utils/misc/Traits.h"
29 #include "src/core/NEON/wrapper/wrapper.h"
30 #include "src/cpu/kernels/pool2d/neon/quantized.h"
31 #include <arm_neon.h>
32 
33 namespace arm_compute
34 {
35 namespace cpu
36 {
37 #define DECLARE_POOLING_KERNEL(func_name) \
38     void func_name(const ITensor *src0, ITensor *dst0, ITensor *dst1, PoolingLayerInfo &, const Window &window_src, const Window &window)
39 
40 DECLARE_POOLING_KERNEL(poolingMxN_qasymm8_neon_nhwc);
41 DECLARE_POOLING_KERNEL(poolingMxN_qasymm8_signed_neon_nhwc);
42 DECLARE_POOLING_KERNEL(poolingMxN_fp16_neon_nhwc);
43 DECLARE_POOLING_KERNEL(poolingMxN_fp32_neon_nhwc);
44 
45 #if defined(ENABLE_NCHW_KERNELS)
46 
47 #if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS)
48 DECLARE_POOLING_KERNEL(pooling2_fp16_neon_nchw);
49 DECLARE_POOLING_KERNEL(pooling3_fp16_neon_nchw);
50 DECLARE_POOLING_KERNEL(poolingMxN_fp16_neon_nchw);
51 #endif /* defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) */
52 
53 DECLARE_POOLING_KERNEL(pooling2_fp32_neon_nchw);
54 DECLARE_POOLING_KERNEL(pooling3_fp32_neon_nchw);
55 DECLARE_POOLING_KERNEL(pooling7_fp32_neon_nchw);
56 DECLARE_POOLING_KERNEL(poolingMxN_fp32_neon_nchw);
57 #endif /* defined(ENABLE_NCHW_KERNELS) */
58 
59 #undef DECLARE_POOLING_KERNEL
60 
61 template <typename T>
offset_no_padding(uint32_t padded_offset,const Coordinates & id,const ITensorInfo & info,int pool_stride_x,int pool_stride_y,DataLayout data_layout)62 inline uint32_t offset_no_padding(uint32_t padded_offset, const Coordinates &id, const ITensorInfo &info, int pool_stride_x, int pool_stride_y, DataLayout data_layout)
63 {
64     const int pad_left    = info.padding().left;
65     const int pad_right   = info.padding().right;
66     const int pad_top     = info.padding().top;
67     const int pad_bottom  = info.padding().bottom;
68     const int in_stride_y = static_cast<int>(info.strides_in_bytes().y());
69     const int in_stride_w = static_cast<int>(info.strides_in_bytes()[3]);
70     const int pad_horiz   = pad_left + pad_right;
71     const int pad_vert    = pad_top + pad_bottom;
72 
73     if(data_layout == DataLayout::NCHW)
74     {
75         const uint32_t offset_base = padded_offset
76                                      - sizeof(T) * pad_horiz * id.y() * pool_stride_y                                            /* subtract padding elems per row */
77                                      - pad_top * sizeof(T)                                                                       /* top padding */
78                                      - sizeof(T) * pad_horiz * info.tensor_shape()[1] * id.z() - pad_vert * in_stride_y * id.z() /* for each Z plane there are height*pad_right padding elems */
79                                      - in_stride_w * id[3];
80 
81         return offset_base;
82     }
83     else
84     {
85         const uint32_t offset_base = padded_offset
86                                      - sizeof(T) * pad_horiz * id.y() * pool_stride_x                          // subtract padding elems per row
87                                      - pad_top * sizeof(T)                                                     // top padding
88                                      - sizeof(T) * pad_horiz * info.tensor_shape()[1] * id.z() * pool_stride_y // for each Z plane there are width*pad_right padding elems
89                                      - in_stride_w * id[3];
90 
91         return offset_base;
92     }
93 }
94 } // namespace cpu
95 } // namespace arm_compute
96 
97 #endif // SRC_CORE_NEON_KERNELS_POOLING_LIST_H