blob: 00f5189508e48938862c6bedf9ab444dd0aeb786 [file] [log] [blame]
Anthony Barbier6ff3b192017-09-04 18:44:23 +01001/*
2 * Copyright (c) 2017 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#include "helpers.h"
25
26/** This kernel concatenates the input tensor into the output tensor along the third dimension
27 *
28 * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32
29 * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes)
30 * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)
31 * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes)
32 * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)
33 * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor
34 * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: F32
35 * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)
36 * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)
37 * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)
38 * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)
39 * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor
40 * @param[in] offset The offset to the first valid element of the output tensor in bytes
41 */
42__kernel void concatenate_depth(
43 IMAGE_DECLARATION(src),
44 IMAGE_DECLARATION(dst),
45 unsigned int offset)
46{
47 Image src = CONVERT_TO_IMAGE_STRUCT(src);
48 Image dst = CONVERT_TO_IMAGE_STRUCT(dst);
49
50 float4 source_values = vload4(0, (__global float *)src.ptr);
51
52 vstore4(source_values, 0, (__global float *)(dst.ptr + offset));
53}