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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"
#define EQUAL(x, y) ((x) == (y))
#define NOTEQUAL(x, y) ((x) != (y))
#define GREATER(x, y) ((x) > (y))
#define GREATEREQUAL(x, y) ((x) >= (y))
#define LESS(x, y) ((x) < (y))
#define LESSEQUAL(x, y) ((x) <= (y))
#define DEFINE_KERNEL_STR(name) compare_##name
#define DEFINE_KERNEL(name) DEFINE_KERNEL_STR(name)
#define DEFINE_KERNEL_QUANTIZED_STR(name) compare_##name##_quantized
#define DEFINE_KERNEL_QUANTIZED(name) DEFINE_KERNEL_QUANTIZED_STR(name)
#if defined(DATA_TYPE) && defined(VEC_SIZE) && defined(OP) && defined(OP_NAME)
/** This function compares two tensors.
*
* @attention The inputs' data type need to be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float
* @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16
* @attention The comparison operation should be given as a preprocessor argument using -DOP=operation. e.g. -DOP=LESS
*
* @param[in] in1_ptr Pointer to the source tensor. Supported data types: All non-quantized data types.
* @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 DEFINE_KERNEL(OP_NAME)(
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, VEC_SIZE)
in_a = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)in1.ptr);
VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)
in_b = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)in2.ptr);
// Calculate and store result
VSTORE(VEC_SIZE)
(CONVERT(OP(in_a, in_b), VEC_DATA_TYPE(uchar, VEC_SIZE)), 0, (__global uchar *)out.ptr);
}
#endif /* defined(DATA_TYPE) && defined(VEC_SIZE) && defined(OP) && defined(OP_NAME) */
#if defined(OFFSET_IN1) && defined(OFFSET_IN2) && defined(SCALE_IN1) && defined(SCALE_IN2)
/** This function compares two quantized tensors.
*
* @note The inputs' data type need to be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=uchar
* @note The quantization offset of the first operand must be passed at compile time using -DOFFSET_IN1, i.e. -DOFFSET_IN1=10
* @note The quantization offset of the second operand must be passed at compile time using -DOFFSET_IN2, i.e. -DOFFSET_IN2=10
* @note The quantization scale of the first operand must be passed at compile time using -DSCALE_IN1, i.e. -DSCALE_IN1=10
* @note The quantization scale of the second operand must be passed at compile time using -DSCALE_IN2, i.e. -DSCALE_IN2=10
*
* @param[in] in1_ptr Pointer to the source tensor. Supported data types: All quantized data types.
* @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: same as @p in1_ptr
* @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: same as @p in1_ptr
* @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 DEFINE_KERNEL_QUANTIZED(OP_NAME)(
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);
int16 in_a = CONVERT(vload16(0, (__global DATA_TYPE *)in1.ptr), int16);
int16 in_b = CONVERT(vload16(0, (__global DATA_TYPE *)in2.ptr), int16);
in_a = in_a - (int16)((int)OFFSET_IN1);
in_b = in_b - (int16)((int)OFFSET_IN2);
const float16 in1f32 = convert_float16(in_a) * (float16)((float)SCALE_IN1);
const float16 in2f32 = convert_float16(in_b) * (float16)((float)SCALE_IN2);
const int16 res = OP(in1f32, in2f32);
// Store result
vstore16(convert_uchar16(res), 0, (__global uchar *)out.ptr);
}
#endif /* defined(OFFSET_IN1) && defined(OFFSET_IN2) && defined(SCALE_IN1) && defined(SCALE_IN2) */
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