blob: 79da7fe6b94e7bdf849a7b46ccb999a48f6dcde9 [file] [log] [blame]
/*
* Copyright (c) 2018-2020 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "helpers.h"
#if defined(DATA_TYPE) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(SRC_DEPTH) && defined(DST_DEPTH)
/** Perform a floor operation on an input tensor.
*
* @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float
* @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16
* @note Can only take floating point data types.
*
* @param[in] input_ptr Pointer to the source image. Supported data types: All
* @param[in] input_stride_x Stride of the source image in X dimension (in bytes)
* @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] input_stride_y Stride of the source image in Y dimension (in bytes)
* @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes)
* @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes)
* @param[in] input_offset_first_element_in_bytes The offset of the first element in the source image
* @param[out] output_ptr Pointer to the destination image. Supported data types: same as @p input_ptr
* @param[in] output_stride_x Stride of the destination image in X dimension (in bytes)
* @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] output_stride_y Stride of the destination image in Y dimension (in bytes)
* @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] output_stride_z Stride of the source tensor in Z dimension (in bytes)
* @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes)
* @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination image
*/
__kernel void tile(
TENSOR4D_DECLARATION(input),
TENSOR4D_DECLARATION(output))
{
Tensor4D output = CONVERT_TO_TENSOR4D_STRUCT(output, DST_DEPTH);
Tensor4D input = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input, SRC_DEPTH);
// For all coordinates but x, each tile copies from the input
const int y = get_global_id(1);
const int z = get_global_id(2) % DST_DEPTH;
const int batch = get_global_id(2) / DST_DEPTH;
#if defined(VEC_SIZE) && defined(OFFSET)
// If we are loading/storing multiple elements at time, we need to
// not exceed the input boundaries. The last threads need to backtrack
// of OFFSET elements. Those elements cumulates for previous tiles
const int id = (int)(get_global_id(0));
int x = id * VEC_SIZE;
// Shift x based on the previous offsets
const int tile_number = x / SRC_WIDTH;
x -= (tile_number) * OFFSET;
int x_input = x % SRC_WIDTH;
// Shift x based on being the last tile
const int last_tile = (int)(x_input + VEC_SIZE > SRC_WIDTH);
x -= last_tile * OFFSET;
x_input = x % SRC_WIDTH;
output.ptr -= (tile_number + last_tile) * OFFSET * output_stride_x;
// Update the input pointer
input.ptr = tensor4D_offset(&input, x_input, y % SRC_HEIGHT, z % SRC_DEPTH, batch % SRC_BATCHES);
// Copy the data
VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)
data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input.ptr);
VSTORE(VEC_SIZE)
(data, 0, (__global DATA_TYPE *)output.ptr);
#else // !defined(VEC_SIZE) || !defined(OFFSET)
const int x = get_global_id(0);
// Update the input pointer
input.ptr = tensor4D_offset(&input, x % SRC_WIDTH, y % SRC_HEIGHT, z % SRC_DEPTH, batch % SRC_BATCHES);
*((__global DATA_TYPE *)(output.ptr)) = *((__global DATA_TYPE *)(input.ptr));
#endif // defined(VEC_SIZE) && defined(OFFSET)
}
#endif // defined(DATA_TYPE) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(SRC_DEPTH) && defined(DST_DEPTH)