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/*
* Copyright (c) 2016-2021 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(VEC_SIZE_X) && defined(VEC_SIZE_LEFTOVER_X)
/** This kernel performs l2 normalization on x-axis
*
* @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float
* @note Vector size should be given as a preprocessor argument using -DVEC_SIZE_X=size. e.g. -DVEC_SIZE_X=16
* @note The leftover size in the X dimension shoud be given as preprocessor argument using -DVEC_SIZE_LEFTOVER_X is; x_dimension % VEC_SIZE_X. e.g. -DVEC_SIZE_LEFTOVER_X=1
*
* @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 X processed per workitem(in bytes)
* @param[in] input_offset_first_element_in_bytes The offset of the first element in the source tensor
* @param[in] sum_ptr Pointer to the source tensor. Supported data types: F16/F32
* @param[in] sum_stride_x Stride of the source tensor in X dimension (in bytes)
* @param[in] sum_step_x sum_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] sum_stride_y Stride of the source tensor in Y dimension (in bytes)
* @param[in] sum_step_y sum_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] sum_offset_first_element_in_bytes The offset of the first element in the 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_offset_first_element_in_bytes The offset of the first element in the destination tensor
* @param[in] epsilon Epsilon value
*/
__kernel void l2_normalize_x(
IMAGE_DECLARATION(input),
IMAGE_DECLARATION(sum),
IMAGE_DECLARATION(output),
DATA_TYPE epsilon)
{
// Offset computation
const uint x_offs = max((int)(get_global_id(0) * VEC_SIZE_X - (VEC_SIZE_X - VEC_SIZE_LEFTOVER_X) % VEC_SIZE_X), 0);
// Address computation
__global uchar *input_addr = input_ptr + input_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) + get_global_id(1) * input_stride_y;
__global uchar *sum_addr = sum_ptr + sum_offset_first_element_in_bytes + get_global_id(1) * sum_stride_y;
__global uchar *output_addr = output_ptr + output_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) + get_global_id(1) * output_stride_y;
VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X)
in = VLOAD(VEC_SIZE_X)(0, (__global DATA_TYPE *)input_addr);
VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X)
normalize_value = (VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X))rsqrt(fmax(*((__global DATA_TYPE *)sum_addr), epsilon));
const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X)
data0 = in * normalize_value;
STORE_VECTOR_SELECT(data, DATA_TYPE, output_addr, VEC_SIZE_X, VEC_SIZE_LEFTOVER_X, VEC_SIZE_LEFTOVER_X != 0 && get_global_id(0) == 0);
}
/** This kernel performs l2 normalization on y-axis.
*
* @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float
* @note Vector size should be given as a preprocessor argument using -DVEC_SIZE_X=size. e.g. -DVEC_SIZE_X=16
* @note The leftover size in the X dimension shoud be given as preprocessor argument using -DVEC_SIZE_LEFTOVER_X is; x_dimension % VEC_SIZE_X. e.g. -DVEC_SIZE_LEFTOVER_X=1
*
* @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 Y 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_offset_first_element_in_bytes The offset of the first element in the source tensor
* @param[in] sum_ptr Pointer to the source tensor. Supported data types: F16/F32
* @param[in] sum_stride_x Stride of the source tensor in X dimension (in bytes)
* @param[in] sum_step_x sum_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] sum_stride_y Stride of the source tensor in Y dimension (in bytes)
* @param[in] sum_step_y sum_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] sum_offset_first_element_in_bytes The offset of the first element in the 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_offset_first_element_in_bytes The offset of the first element in the destination tensor
* @param[in] epsilon Epsilon value
*/
__kernel void l2_normalize_y(
IMAGE_DECLARATION(input),
IMAGE_DECLARATION(sum),
IMAGE_DECLARATION(output),
DATA_TYPE epsilon)
{
// Offset computation
const uint x_offs = max((int)(get_global_id(0) * VEC_SIZE_X - (VEC_SIZE_X - VEC_SIZE_LEFTOVER_X) % VEC_SIZE_X), 0);
// Address computation
__global uchar *input_addr = input_ptr + input_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) + get_global_id(1) * input_stride_y;
__global uchar *sum_addr = sum_ptr + sum_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE);
__global uchar *output_addr = output_ptr + output_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) + get_global_id(1) * output_stride_y;
VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X)
in = VLOAD(VEC_SIZE_X)(0, (__global DATA_TYPE *)input_addr);
VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X)
sums = VLOAD(VEC_SIZE_X)(0, (__global DATA_TYPE *)sum_addr);
VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X)
normalize_value = (VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X))rsqrt(fmax(sums, epsilon));
const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X)
data0 = in * normalize_value;
STORE_VECTOR_SELECT(data, DATA_TYPE, output_addr, VEC_SIZE_X, VEC_SIZE_LEFTOVER_X, VEC_SIZE_LEFTOVER_X != 0 && get_global_id(0) == 0);
}
/** This kernel performs l2 normalization on z-axis.
*
* @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float
* @note Vector size should be given as a preprocessor argument using -DVEC_SIZE_X=size. e.g. -DVEC_SIZE_X=16
* @note The leftover size in the X dimension shoud be given as preprocessor argument using -DVEC_SIZE_LEFTOVER_X is; x_dimension % VEC_SIZE_X. e.g. -DVEC_SIZE_LEFTOVER_X=1
*
* @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 Y 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[in] sum_ptr Pointer to the source tensor. Supported data types: F16/F32
* @param[in] sum_stride_x Stride of the source tensor in X dimension (in bytes)
* @param[in] sum_step_x sum_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] sum_stride_y Stride of the source tensor in Y dimension (in bytes)
* @param[in] sum_step_y sum_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] sum_stride_z Stride of the source tensor in Z dimension (in bytes)
* @param[in] sum_step_z sum_stride_z * number of elements along Z processed per workitem(in bytes)
* @param[in] sum_offset_first_element_in_bytes The offset of the first element in the 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] epsilon Epsilon value
*/
__kernel void l2_normalize_z(
TENSOR3D_DECLARATION(input),
TENSOR3D_DECLARATION(sum),
TENSOR3D_DECLARATION(output),
DATA_TYPE epsilon)
{
// Offset computation
const uint x_offs = max((int)(get_global_id(0) * VEC_SIZE_X - (VEC_SIZE_X - VEC_SIZE_LEFTOVER_X) % VEC_SIZE_X), 0);
// Address computation
__global uchar *input_addr = input_ptr + input_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) + get_global_id(1) * input_stride_y + get_global_id(2) * input_stride_z;
__global uchar *sum_addr = sum_ptr + sum_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) + get_global_id(1) * sum_stride_y;
__global uchar *output_addr = output_ptr + output_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) + get_global_id(1) * output_stride_y + get_global_id(2) * output_stride_z;
VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X)
in = VLOAD(VEC_SIZE_X)(0, (__global DATA_TYPE *)input_addr);
VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X)
sums = VLOAD(VEC_SIZE_X)(0, (__global DATA_TYPE *)sum_addr);
VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X)
data0 = in * ((VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X))(rsqrt(fmax(sums, epsilon))));
STORE_VECTOR_SELECT(data, DATA_TYPE, output_addr, VEC_SIZE_X, VEC_SIZE_LEFTOVER_X, VEC_SIZE_LEFTOVER_X != 0 && get_global_id(0) == 0);
}
#endif // defined(VEC_SIZE_X) && defined(VEC_SIZE_LEFTOVER_X)
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