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Georgios Pinitasc0b6f762020-11-02 01:37:17 +00001/*
Sang-Hoon Park4f7693d2021-05-12 13:59:10 +01002 * Copyright (c) 2018-2021 Arm Limited.
Georgios Pinitasc0b6f762020-11-02 01:37:17 +00003 *
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
28namespace 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 */
48struct 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