1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
|
/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright (c) 2016-2018 ARM Limited.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "helpers.h"
#define SUB(x, y) (x) - (y)
#ifndef VEC_SIZE
#define VEC_SIZE 1
#endif
#if defined(OFFSET_IN1) && defined(OFFSET_IN2) && defined(SCALE_IN1) && defined(SCALE_IN2) && defined(DATA_TYPE_OUT)
#define VEC_FLOAT VEC_DATA_TYPE(float, VEC_SIZE)
#define VEC_INT VEC_DATA_TYPE(int, VEC_SIZE)
#define VEC_OUT VEC_DATA_TYPE(DATA_TYPE_OUT, VEC_SIZE)
/** Returns the truth value of comparison .
* @attention Offset and Scale of both input should be given as a preprocessor argument using -DOFFSET_IN1=int, -DOFFSET_IN2=int, -DSCALE_IN1=float and -DSCALE_IN2=float. e.g. -DOFFSET_IN1=1, -DOFFSET_IN2=0, -DSCALE_IN1=0.5, -DSCALE_IN2=0.5
* @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16
* @attention Operation type(code) specifying which operation to perform should be passed as preprocessor argument using
* -DOP_CODE = number. e.g. -DOP_CODE=1
*
* @param[in] input1_ptr Pointer to the source tensor. Supported data types: QASYMM8
* @param[in] input1_stride_x Stride of the source tensor in X dimension (in bytes)
* @param[in] input1_step_x input1_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] input1_stride_y Stride of the source tensor in Y dimension (in bytes)
* @param[in] input1_step_y input1_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] input1_stride_z Stride of the source tensor in Z dimension (in bytes)
* @param[in] input1_step_z input1_stride_z * number of elements along Z processed per workitem(in bytes)
* @param[in] input1_offset_first_element_in_bytes The offset of the first element in the source tensor
*
* @param[in] input2_ptr Pointer to the source tensor. Supported data types: QASYMM8
* @param[in] input2_stride_x Stride of the source tensor in X dimension (in bytes)
* @param[in] input2_step_x input2_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] input2_stride_y Stride of the source tensor in Y dimension (in bytes)
* @param[in] input2_step_y input2_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] input2_stride_z Stride of the source tensor in Z dimension (in bytes)
* @param[in] input2_step_z input2_stride_z * number of elements along Z processed per workitem(in bytes)
* @param[in] input2_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: QASYMM8
* @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
*/
__kernel void comparison_op_qasymm8(
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);
VEC_INT in_a = CONVERT(VLOAD(VEC_SIZE)(0, (__global uchar *)in1.ptr), VEC_INT);
VEC_INT in_b = CONVERT(VLOAD(VEC_SIZE)(0, (__global uchar *)in2.ptr), VEC_INT);
in_a = SUB(in_a, (VEC_INT)((int)OFFSET_IN1));
in_b = SUB(in_b, (VEC_INT)((int)OFFSET_IN2));
const VEC_FLOAT in1f32 = CONVERT(in_a, VEC_FLOAT) * (VEC_FLOAT)((float)SCALE_IN1);
const VEC_FLOAT in2f32 = CONVERT(in_b, VEC_FLOAT) * (VEC_FLOAT)((float)SCALE_IN2);
#if OPCODE == 1 //EQUAL QUANTIZED
VSTORE(VEC_SIZE)(CONVERT(in1f32 == in2f32, VEC_OUT), 0, (__global DATA_TYPE_OUT *)out.ptr);
#elif OPCODE == 2 //NOT EQUAL QUANTIZED
VSTORE(VEC_SIZE)(CONVERT(in1f32 != in2f32, VEC_OUT), 0, (__global DATA_TYPE_OUT *)out.ptr);
#else // OP NOT SUPPORTED
return;
#endif
}
#endif // defined(OFFSET_IN1) && defined(OFFSET_IN2) && defined(SCALE_IN1) && defined(SCALE_IN2) && defined(DATA_TYPE_OUT)
|