/*
 * Copyright (c) 2017 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"

/** Perform tensor reshape
 *
 * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short
 *
 * @param[in]  input_ptr                            Pointer to the first source tensor. Supported data types: U8/S8/QS8/U16/S16/QS16/U32/S32/F16/F32
 * @param[in]  input_stride_x                       Stride of the first 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 first 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 first 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 first source tensor
 * @param[out] output_ptr                           Pointer to the destination tensor. Supported data types: same as @p input_ptr
 * @param[in]  output_stride_x                      Stride of the destination 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 destination 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 destination 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 tensor
 * @param[in]  input_shape                          Input spatial shape
 * @param[in]  output_shape                         Output spatial shape
 */
__kernel void reshape_layer(TENSOR3D_DECLARATION(input),
                            TENSOR3D_DECLARATION(output),
                            int2 input_shape,
                            int2 output_shape)
{
    Tensor3D in  = CONVERT_TO_TENSOR3D_STRUCT(input);
    Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(output);

    int3 id = (int3)(get_global_id(0), get_global_id(1), get_global_id(2));

    // Linearize index
    int linear_idx = id.x + id.y * input_shape.x + id.z * input_shape.x * input_shape.y;

    // Translate to output
    int3 out_id;
    out_id.x = linear_idx % output_shape.x;
    out_id.y = (linear_idx / output_shape.x) % output_shape.y;
    out_id.z = linear_idx / (output_shape.x * output_shape.y);

    // Store result
    *((__global DATA_TYPE *)tensor3D_offset(&out, out_id.x, out_id.y, out_id.z)) = *((__global DATA_TYPE *)in.ptr);
}