xref: /aosp_15_r20/external/ComputeLibrary/src/cpu/kernels/assembly/convolution_parameters.hpp (revision c217d954acce2dbc11938adb493fc0abd69584f3)
1 /*
2  * Copyright (c) 2018-2021 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 #pragma once
25 
26 #include <cstdint>
27 
28 namespace arm_gemm
29 {
30 /*
31  * Parameter set for "convolution" type GEMM.
32  *
33  * For a "convolution" GEMM, the GEMM parameters (M, K) are specified as if
34  * an im2row had been performed on the input tensor to generate the operand
35  * matrix, but instead this structure describes the convolution parameters
36  * such that this can be done on the fly.
37  *
38  * The parameters describe the convolution details - the notional shape of
39  * the input and output tensors, whether padding is to be applied, the size
40  * of the kernel and a constant value to be used for padding (needed for
41  * quantized tensors).
42  *
43  * The second part describes the layout of the input tensor in memory, which
44  * is assumed to be in NHWC format.  This consists of a base pointer and
45  * strides for columns, rows and batches.  'multis' are not supported for
46  * convolution type GEMMs.
47  */
48 struct ConvolutionParameters
49 {
50     int64_t input_width;
51     int64_t input_height;
52     int64_t input_channels;
53     int64_t kernel_width;
54     int64_t kernel_height;
55     int64_t output_width;
56     int64_t output_height;
57     int64_t output_stride_w;
58     int64_t output_stride_h;
59     //          output_channels not included as they do not affect the input.
60     int64_t padding_top;
61     int64_t padding_left;
62     float   padding_value;
63 };
64 
65 } // namespace arm_gemm
66