blob: 457e9bf8f1ab0d5dbea5201da8a473b85ef8aefc [file] [log] [blame]
/*
* Copyright (c) 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"
/** Performs max unpooling function with pool size equal to 2.
*
* @note Datatype must be passed using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types are F16/F32
* @note The width of the output tensor must be passed using -DWIDTH_DST e.g. -DWIDTH_DST=24
* @note The height of the output tensor must be passed using -DHEIGHT_DST e.g. -DHEIGHT_DST=54
* @note The depth of the output tensor must be passed using -DDEPTH_DST e.g. -DDEPTH_DST=32
*
* @param[in] input_ptr Pointer to the source tensor. Supported data types: F16/F32
* @param[in] input_stride_x Stride of the source tensor 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 tensor 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 tensor
* @param[out] output_ptr Pointer to the output tensor. Supported data types: same as @p input_ptr
* @param[in] output_stride_x Stride of the output tensor 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 output tensor 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 output 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 output tensor
* @param[in] indices_ptr Pointer to the indices tensor. Supported data types: U32
* @param[in] indices_stride_x Stride of the indices tensor in X dimension (in bytes)
* @param[in] indices_step_x indices_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] indices_stride_y Stride of the indices tensor in Y dimension (in bytes)
* @param[in] indices_step_y indices_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] indices_stride_z Stride of the indices tensor in Z dimension (in bytes)
* @param[in] indices_step_z indices_stride_z * number of elements along Z processed per workitem(in bytes)
* @param[in] indices_offset_first_element_in_bytes The offset of the first element in the indices tensor
*/
__kernel void max_unpooling_layer_2(
TENSOR3D_DECLARATION(input),
TENSOR3D_DECLARATION(output),
TENSOR3D_DECLARATION(indices))
{
Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input);
Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT_NO_UPDATE_PTR(output);
Tensor3D indices = CONVERT_TO_TENSOR3D_STRUCT(indices);
unsigned int index = *((__global unsigned int *)indices.ptr);
DATA_TYPE value = *((__global DATA_TYPE *)input.ptr);
*((__global DATA_TYPE *)tensor3D_index2ptr(&output, WIDTH_DST, HEIGHT_DST, DEPTH_DST, index)) = value;
}