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/*
* 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"
/** List of all the operations supported by this kernel.
* @note ADD and SUB operations, when executed on integers, support saturation */
#ifdef SATURATE
#define ADD(x, y) add_sat((x), (y))
#define SUB(x, y) sub_sat((x), (y))
#else /* SATURATE */
#define ADD(x, y) (x) + (y)
#define SUB(x, y) (x) - (y)
#endif /* SATURATE */
#define MAX(x, y) max(x, y)
#define MIN(x, y) min(x, y)
#define SQUARED_DIFF(x, y) (x - y) * (x - y)
#define DIV(x, y) (x / y)
#define POWER(x, y) pow(x, y)
#define PRELU(x, y) (select(y * x, x, x > (DATA_TYPE_OUT)0))
#define OP_FUN_NAME_STR(op) elementwise_operation_##op
#define OP_FUN_NAME(op) OP_FUN_NAME_STR(op)
#if defined(OP) && defined(DATA_TYPE_IN1) && defined(DATA_TYPE_IN2) && defined(DATA_TYPE_OUT) && defined(VEC_SIZE)
#if defined(ACTIVATION_TYPE)
#include "activation_float_helpers.h"
#endif // defined(ACTIVATION_TYPE)
/** This function executes an element-wise operation among two tensors.
*
* @attention The input and output data_types need to be passed at compile time using -DDATA_TYPE_IN1, -DDATA_TYPE_IN2 and -DDATA_TYPE_OUT:
* e.g. -DDATA_TYPE_IN1=uchar -DDATA_TYPE_IN2=uchar -DDATA_TYPE_OUT=short
* @attention To perform saturating operation -DSATURATE has to be passed to the compiler otherwise wrapping policy will be used.
* @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16
* @attention The element-wise operation to be executed has to be passed at compile time using -DOP (e.g., -DOP=ADD)
*
* @param[in] in1_ptr Pointer to the source tensor. Supported data types: U8/S16/F16/F32
* @param[in] in1_stride_x Stride of the source tensor in X dimension (in bytes)
* @param[in] in1_step_x in1_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] in1_stride_y Stride of the source tensor in Y dimension (in bytes)
* @param[in] in1_step_y in1_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] in1_stride_z Stride of the source tensor in Z dimension (in bytes)
* @param[in] in1_step_z in1_stride_z * number of elements along Z processed per workitem(in bytes)
* @param[in] in1_offset_first_element_in_bytes The offset of the first element in the source tensor
* @param[in] in2_ptr Pointer to the source tensor. Supported data types: U8/S16/F16/F32
* @param[in] in2_stride_x Stride of the source tensor in X dimension (in bytes)
* @param[in] in2_step_x in2_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] in2_stride_y Stride of the source tensor in Y dimension (in bytes)
* @param[in] in2_step_y in2_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] in2_stride_z Stride of the source tensor in Z dimension (in bytes)
* @param[in] in2_step_z in2_stride_z * number of elements along Z processed per workitem(in bytes)
* @param[in] in2_offset_first_element_in_bytes The offset of the first element in the source tensor
* @param[out] out_ptr Pointer to the destination tensor. Supported data types: U8 (only if both inputs are U8), S16/F16/F32
* @param[in] out_stride_x Stride of the destination tensor in X dimension (in bytes)
* @param[in] out_step_x out_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] out_stride_y Stride of the destination tensor in Y dimension (in bytes)
* @param[in] out_step_y out_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] out_stride_z Stride of the source tensor in Z dimension (in bytes)
* @param[in] out_step_z out_stride_z * number of elements along Z processed per workitem(in bytes)
* @param[in] out_offset_first_element_in_bytes The offset of the first element in the destination tensor
*/
__kernel void OP_FUN_NAME(OP)(
TENSOR3D_DECLARATION(in1),
TENSOR3D_DECLARATION(in2),
TENSOR3D_DECLARATION(out))
{
// Get pixels pointer
Tensor3D in1 = CONVERT_TO_TENSOR3D_STRUCT(in1);
Tensor3D in2 = CONVERT_TO_TENSOR3D_STRUCT(in2);
Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(out);
// Load values
VEC_DATA_TYPE(DATA_TYPE_OUT, VEC_SIZE)
in_a = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE_IN1 *)in1.ptr), VEC_DATA_TYPE(DATA_TYPE_OUT, VEC_SIZE));
VEC_DATA_TYPE(DATA_TYPE_OUT, VEC_SIZE)
in_b = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE_IN2 *)in2.ptr), VEC_DATA_TYPE(DATA_TYPE_OUT, VEC_SIZE));
// Calculate and store result
#if defined(ACTIVATION_TYPE)
VSTORE(VEC_SIZE)
(ACTIVATION(ACTIVATION_TYPE, DATA_TYPE_OUT, CONVERT(OP(in_a, in_b), VEC_DATA_TYPE(DATA_TYPE_OUT, VEC_SIZE)), A_VAL, B_VAL), 0, (__global DATA_TYPE_OUT *)out.ptr);
#else // defined(ACTIVATION_TYPE)
VSTORE(VEC_SIZE)
(OP(in_a, in_b), 0, (__global DATA_TYPE_OUT *)out.ptr);
#endif // defined(ACTIVATION_TYPE)
}
#endif /* defined(DATA_TYPE_IN1) && defined(DATA_TYPE_IN2) && defined(DATA_TYPE_OUT) && defined(VEC_SIZE) */
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