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/*
* 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"
#ifdef FIXED_POINT_POSITION
#include "fixed_point.h"
#define MAX_OP(x, y, type, size) MAX_OP_EXPAND(x, y, type, size)
#define ADD_OP(x, y, type, size) ADD_SAT_OP_EXPAND((x), (y), type, size)
#define SUB_OP(x, y, type, size) SUB_SAT_OP_EXPAND((x), (y), type, size)
#define DIV_OP(x, y, type, size) DIV_SAT_OP_EXPAND((x), (y), type, size, FIXED_POINT_POSITION)
#define EXP_OP(x, type, size) EXP_OP_EXPAND((x), type, size, FIXED_POINT_POSITION)
#define MIN_VAL_EXPAND(type) type##_MIN
#define MIN_VAL(type) MIN_VAL_EXPAND(type)
#define MINVAL MIN_VAL(DATA_TYPE)
#define SELECT_DATA_TYPE EXPAND(DATA_TYPE)
#else /* FIXED_POINT_POSITION */
#define MAX_OP(x, y, type, size) max((x), (y))
#define ADD_OP(x, y, type, size) ((x) + (y))
#define SUB_OP(x, y, type, size) ((x) - (y))
#define DIV_OP(x, y, type, size) ((x) / (y))
#define EXP_OP(x, type, size) exp((x))
#ifdef USE_F16
#define MINVAL -HALF_MAX
#define SELECT_DATA_TYPE short
#else /* USE_F16 */
#define MINVAL -FLT_MAX
#define SELECT_DATA_TYPE int
#endif /* USE_F16 */
#endif /* FIXED_POINT_POSITION */
__constant VEC_DATA_TYPE(DATA_TYPE, 16) type_min = (VEC_DATA_TYPE(DATA_TYPE, 16))(MINVAL);
__constant uint16 idx16 = (uint16)(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15);
/** Identifies the maximum value across the 1st dimension.
*
* @note Datatype must be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short
* @note Fixed point position must be given as a preprocessor argument using -DFIXED_POINT_POSITION=pos. e.g. DFIXED_POINT_POSITION=4
* @note In case the input is not multiple of 16 -DNON_MULTIPLE_OF_16 must be passed.
*
* @param[in] src_ptr Pointer to the source tensor slice. Supported data types: QS8/F16/F32
* @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes)
* @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes)
* @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor
* @param[out] dst_ptr Pointer to the destination tensor slice. Supported data types: same as @p src_ptr
* @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)
* @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)
* @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor
* @param[in] width Input image width
*/
__kernel void softmax_layer_max(
IMAGE_DECLARATION(src),
IMAGE_DECLARATION(dst),
uint width)
{
Image src = CONVERT_TO_IMAGE_STRUCT(src);
Image dst = CONVERT_TO_IMAGE_STRUCT(dst);
// Initialize local maximum
VEC_DATA_TYPE(DATA_TYPE, 16)
max_val = (VEC_DATA_TYPE(DATA_TYPE, 16))type_min;
// Calculate max of row
const uint width4 = width >> 4;
for(uint i = 0; i < width4; i++)
{
VEC_DATA_TYPE(DATA_TYPE, 16)
data = vload16(0, (__global DATA_TYPE *)offset(&src, i << 4, 0));
max_val = MAX_OP(data, max_val, DATA_TYPE, 16);
}
#ifdef NON_MULTIPLE_OF_16
// Handle non multiple of 16
VEC_DATA_TYPE(DATA_TYPE, 16)
data = vload16(0, (__global DATA_TYPE *)offset(&src, width4 << 4, 0));
VEC_DATA_TYPE(SELECT_DATA_TYPE, 16)
widx = CONVERT(((uint16)(width4 << 4) + idx16) < width, VEC_DATA_TYPE(SELECT_DATA_TYPE, 16));
max_val = MAX_OP(max_val, select(type_min, data, widx), DATA_TYPE, 16);
#endif /* NON_MULTIPLE_OF_16 */
// Perform max reduction
max_val.s01234567 = MAX_OP(max_val.s01234567, max_val.s89ABCDEF, DATA_TYPE, 8);
max_val.s0123 = MAX_OP(max_val.s0123, max_val.s4567, DATA_TYPE, 4);
max_val.s01 = MAX_OP(max_val.s01, max_val.s23, DATA_TYPE, 2);
max_val.s0 = MAX_OP(max_val.s0, max_val.s1, DATA_TYPE, 1);
// Store result
*((__global DATA_TYPE *)dst.ptr) = max_val.s0;
}
/** Shifts the values of the input tensor by the max calculated in softmax_layer_max kernel,
* then gets the exponent of each element as sums all elements across each row.
*
* @note Datatype must be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short
* @note Fixed point position must be given as a preprocessor argument using -DFIXED_POINT_POSITION=pos. e.g. DFIXED_POINT_POSITION=4
* @note In case the input is not multiple of 16 -DNON_MULTIPLE_OF_16 must be passed.
*
* @param[in] src_ptr Pointer to the source tensor slice. Supported data types: QS8/F16/F32
* @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes)
* @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes)
* @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor
* @param[in] max_ptr Pointer to the max values tensor slice. Supported data types: same as @p src_ptr
* @param[in] max_stride_x Stride of the max values tensor in X dimension (in bytes)
* @param[in] max_step_x max_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] max_stride_y Stride of the max values tensor in Y dimension (in bytes)
* @param[in] max_step_y max_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] max_offset_first_element_in_bytes The offset of the first element in the max values tensor
* @param[out] dst_ptr Pointer to the destination tensor slice. Supported data types: same as @p src_ptr
* @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)
* @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)
* @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor
* @param[out] sum_ptr Pointer to the sum values tensor slice. Supported data types: same as @p src_ptr
* @param[in] sum_stride_x Stride of the sum values 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 sum values 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 sum values tensor
* @param[in] width Input image width
*/
__kernel void softmax_layer_shift_exp_sum(
IMAGE_DECLARATION(src),
IMAGE_DECLARATION(max),
IMAGE_DECLARATION(dst),
IMAGE_DECLARATION(sum),
uint width)
{
Image src = CONVERT_TO_IMAGE_STRUCT(src);
Image dst = CONVERT_TO_IMAGE_STRUCT(dst);
Image max = CONVERT_TO_IMAGE_STRUCT(max);
Image sum = CONVERT_TO_IMAGE_STRUCT(sum);
// Load max value of 1D logits vector (row)
DATA_TYPE max_val = *((__global DATA_TYPE *)offset(&max, 0, 0));
// Set sum vector
VEC_DATA_TYPE(DATA_TYPE, 16)
sum1D = 0;
// Shift values, exp and sum
const uint width4 = width >> 4;
for(uint i = 0; i < width4; i++)
{
VEC_DATA_TYPE(DATA_TYPE, 16)
data = vload16(0, (__global DATA_TYPE *)offset(&src, i << 4, 0));
data = SUB_OP(data, max_val, DATA_TYPE, 16);
data = EXP_OP(data, DATA_TYPE, 16);
vstore16(data, 0, (__global DATA_TYPE *)offset(&dst, i << 4, 0));
sum1D = ADD_OP(sum1D, data, DATA_TYPE, 16);
}
#ifdef NON_MULTIPLE_OF_16
// Handle non multiple of 16
VEC_DATA_TYPE(DATA_TYPE, 16)
data = vload16(0, (__global DATA_TYPE *)offset(&src, width4 << 4, 0));
data = SUB_OP(data, max_val, DATA_TYPE, 16);
data = EXP_OP(data, DATA_TYPE, 16);
VEC_DATA_TYPE(SELECT_DATA_TYPE, 16)
widx = CONVERT(((uint16)(width4 << 4) + idx16) < width, VEC_DATA_TYPE(SELECT_DATA_TYPE, 16));
data = select(0, data, widx);
vstore16(data, 0, (__global DATA_TYPE *)offset(&dst, width4 << 4, 0));
sum1D = ADD_OP(sum1D, data, DATA_TYPE, 16);
#endif /* NON_MULTIPLE_OF_16 */
// Perform min/max reduction
sum1D.s01234567 = ADD_OP(sum1D.s01234567, sum1D.s89ABCDEF, DATA_TYPE, 8);
sum1D.s0123 = ADD_OP(sum1D.s0123, sum1D.s4567, DATA_TYPE, 4);
sum1D.s01 = ADD_OP(sum1D.s01, sum1D.s23, DATA_TYPE, 2);
sum1D.s0 = ADD_OP(sum1D.s0, sum1D.s1, DATA_TYPE, 1);
// Calculate and store result
*((__global DATA_TYPE *)sum.ptr) = sum1D.s0;
}
/** Divides all the values of the input tensor by the sum calculated from softmax_layer_shift_exp_sum kernel.
*
* @note Datatype must be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short
* @note Fixed point position must be given as a preprocessor argument using -DFIXED_POINT_POSITION=pos. e.g. DFIXED_POINT_POSITION=4
*
* @param[in] src_ptr Pointer to the source tensor slice. Supported data types: QS8/F16/F32
* @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes)
* @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes)
* @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor
* @param[in] sum_ptr Pointer to the sum values tensor slice. Supported data types: same as @p src_ptr
* @param[in] sum_stride_x Stride of the sum values 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 sum values 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 sum values tensor
* @param[out] dst_ptr Pointer to the destination tensor slice. Supported data types: same as @p src_ptr
* @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)
* @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)
* @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor
*/
__kernel void softmax_layer_norm(
IMAGE_DECLARATION(src),
IMAGE_DECLARATION(sum),
IMAGE_DECLARATION(dst))
{
Image src = CONVERT_TO_IMAGE_STRUCT(src);
Image dst = CONVERT_TO_IMAGE_STRUCT(dst);
Image sum = CONVERT_TO_IMAGE_STRUCT_NO_STEP(sum);
// Load max value of 1D logits vector (row)
DATA_TYPE sum_val = *((__global DATA_TYPE *)offset(&sum, 0, get_global_id(1)));
VEC_DATA_TYPE(DATA_TYPE, 16)
data = vload16(0, (__global DATA_TYPE *)offset(&src, 0, 0));
vstore16(DIV_OP(data, sum_val, DATA_TYPE, 16), 0, (__global DATA_TYPE *)offset(&dst, 0, 0));
}
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