summaryrefslogtreecommitdiff
path: root/libs/ARMComputeEx/src/core/CL/cl_kernels/binary_logical_op.cl
blob: bea61f53eb5545ecba47825be34244ea9d0515c0 (plain)
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
/*
 * 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"

#ifndef VEC_SIZE
#define VEC_SIZE 1
#endif

#if defined(OP_CODE) && defined(DATA_TYPE)
/** returns truth value of the two input tensors for BINARY LOGICAL OP.
 * where BINARY LOGICAL OP can be AND, OR.
 *
 * @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=uchar
 * @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)
 */
__kernel void binary_logical_op(
    TENSOR3D_DECLARATION(input1),
    TENSOR3D_DECLARATION(input2),
    TENSOR3D_DECLARATION(output))
{
    Tensor3D input1  = CONVERT_TO_TENSOR3D_STRUCT(input1);
    Tensor3D input2  = CONVERT_TO_TENSOR3D_STRUCT(input2);
    Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output);

    #if OP_CODE == 1 // LOGICAL AND
     VSTORE(VEC_SIZE)
     (CONVERT(VLOAD(VEC_SIZE)
	     (0, (__global DATA_TYPE *)input1.ptr) && VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input2.ptr),
             VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)), 0, (__global DATA_TYPE *)output.ptr);

    #elif OP_CODE == 2 // LOGICAL OR
     VSTORE(VEC_SIZE)
     (CONVERT(VLOAD(VEC_SIZE)
	     (0, (__global DATA_TYPE *)input1.ptr) || VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input2.ptr),
             VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)), 0, (__global DATA_TYPE *)output.ptr);

    #else // OP NOT SUPPORTED
     return

    #endif
}
#endif //if defined(OP_CODE) && defined(DATA_TYPE)