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#include "helpers.h" 25 26#if defined(DATA_TYPE) && defined(NUM_REVERSE_DIMS) 27 28#if NUM_REVERSE_DIMS > 4 29#error("Reversing more than 4 dimensions is not currently supported") 30#endif /* NUM_REVERSE_DIMS > 4 */ 31 32/** Performs reverse along the specified axis. 33 * 34 * @note The data type must be given as a preprocessor argument using -DDATA_TYPE=num. e.g. -DDATA_TYPE=uint 35 * @note The number of dimensions to reverse must be given as a preprocessor argument using -DNUM_REVERSE_DIMS=num, e.g. -DNUM_REVERSE_DIMS=3 36 * 37 * @param[in] src_ptr Pointer to the source tensor. Supported data types: All 38 * @param[in] src_stride_x Stride of the first source tensor in X dimension (in bytes) 39 * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) 40 * @param[in] src_stride_y Stride of the first source tensor in Y dimension (in bytes) 41 * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) 42 * @param[in] src_stride_z Stride of the first source tensor in Z dimension (in bytes) 43 * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) 44 * @param[in] src_stride_w Stride of the first source tensor in Z dimension (in bytes) 45 * @param[in] src_step_w src_stride_z * number of elements along Z processed per workitem(in bytes) 46 * @param[in] src_offset_first_element_in_bytes The offset of the first element in the first source tensor 47 * @param[in] axis_ptr Pointer to the source vector. Supported data types: U32 48 * @param[in] axis_stride_x Stride of the first source tensor in X dimension (in bytes) 49 * @param[in] axis_step_x src_stride_x * number of elements along X processed per workitem(in bytes) 50 * @param[in] axis_offset_first_element_in_bytes The offset of the first element in the first source tensor 51 * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr 52 * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) 53 * @param[in] dst_step_x output_stride_x * number of elements along X processed per workitem(in bytes) 54 * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) 55 * @param[in] dst_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) 56 * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) 57 * @param[in] dst_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) 58 * @param[in] dst_stride_w Stride of the destination tensor in Z dimension (in bytes) 59 * @param[in] dst_step_w output_stride_z * number of elements along Z processed per workitem(in bytes) 60 * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor 61 */ 62__kernel void reverse(TENSOR4D_DECLARATION(src), 63 VECTOR_DECLARATION(axis), 64 TENSOR4D_DECLARATION(dst), 65 const uint width, 66 const uint height, 67 const uint depth, 68 const uint batches) 69{ 70 Tensor4D src = CONVERT_TO_TENSOR4D_STRUCT(src, depth); 71 Vector axis = CONVERT_TO_VECTOR_STRUCT_NO_STEP(axis); 72 Tensor4D dst = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(dst, depth); 73 74 const uint x_in = get_global_id(0); 75 const uint y_in = get_global_id(1); 76 const uint z_in = get_global_id(2) % depth; 77 const uint w_in = get_global_id(2) / depth; 78 79 const uint4 dims = (uint4)(0, 1, 2, 3); 80 int4 to_reverse = (int4)(0, 0, 0, 0); 81#if NUM_REVERSE_DIMS == 1 82 const uint index = *((__global uint *)axis.ptr); 83 to_reverse = (uint4)index == dims; 84#elif NUM_REVERSE_DIMS == 2 85 const uint2 indices = vload2(0, (__global uint *)axis.ptr); 86 to_reverse = ((uint4)indices.s0 == dims) || ((uint4)indices.s1 == dims); 87#elif NUM_REVERSE_DIMS == 3 88 const uint2 indices01 = vload2(0, (__global uint *)axis.ptr); 89 const uint index2 = *((__global uint *)axis.ptr + 2); 90 to_reverse = ((uint4)indices01.s0 == dims) || ((uint4)indices01.s1 == dims) || ((uint4)index2 == dims); 91#else /* NUM_REVERSE_DIMS == 3 */ 92 const uint4 indices = vload4(0, (__global uint *)axis.ptr); 93 to_reverse = ((uint4)indices.s0 == dims) || ((uint4)indices.s1 == dims) || ((uint4)indices.s2 == dims) || ((uint4)indices.s3 == dims); 94#endif /* NUM_REVERSE_DIMS == 1 */ 95 const uint x_out = to_reverse.s0 ? width - x_in - 1 : x_in; 96 const uint y_out = to_reverse.s1 ? height - y_in - 1 : y_in; 97 const uint z_out = to_reverse.s2 ? depth - z_in - 1 : z_in; 98 const uint w_out = to_reverse.s3 ? batches - w_in - 1 : w_in; 99 100 *((__global DATA_TYPE *)tensor4D_offset(&dst, x_out, y_out, z_out, w_out)) = *((__global DATA_TYPE *)src.ptr); 101} 102#endif // defined(DATA_TYPE) && defined(NUM_REVERSE_DIMS) 103