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
94
95
96
97
98
|
/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright (c) 2017 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"
/** Perform gather
*
* @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short
*
* @param[in] input1_ptr Pointer to the first source tensor. Supported data types: U8/S32/F32
* @param[in] input1_stride_x Stride of the first source tensor in X dimension (in bytes)
* @param[in] input1_step_x input_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] input1_stride_y Stride of the first source tensor in Y dimension (in bytes)
* @param[in] input1_step_y input_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] input1_stride_z Stride of the first source tensor in Z dimension (in bytes)
* @param[in] input1_step_z input_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 first source tensor
* @param[in] input2_ptr Pointer to the first source tensor. Supported data types: U32
* @param[in] input2_stride_x Stride of the first source tensor in X dimension (in bytes)
* @param[in] input2_step_x input_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] input2_offset_first_element_in_bytes The offset of the first element in the first source tensor
* @param[out] output_ptr Pointer to the destination tensor. Supported data types: same as @p input_ptr
* @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 gather(IMAGE_DECLARATION(input1),
VECTOR_DECLARATION(input2),
IMAGE_DECLARATION(output))
{
Image in1 = CONVERT_TO_IMAGE_STRUCT_NO_STEP(input1);
Vector in2 = CONVERT_TO_VECTOR_STRUCT(input2);
Image out = CONVERT_TO_IMAGE_STRUCT_NO_STEP(output);
VEC_DATA_TYPE(DATA_TYPE_IN2, 2)
in2_data = CONVERT(vload2(0, (__global DATA_TYPE_IN2 *)in2.ptr), VEC_DATA_TYPE(DATA_TYPE_IN2, 2));
//TODO: performance tuning for memcopy
int index = in2_data.s0;
int stride=input1_stride_y/input1_stride_x;
for(int i=0; i<stride; i++){
*((__global DATA_TYPE_OUT *)offset(&out, i,get_global_id(0)))=*((__global DATA_TYPE_IN1 *)offset(&in1, i,index));
}
}
__kernel void gather_1d_out(IMAGE_DECLARATION(input1),
VECTOR_DECLARATION(input2),
VECTOR_DECLARATION(output))
{
Image in1 = CONVERT_TO_IMAGE_STRUCT_NO_STEP(input1);
Vector in2 = CONVERT_TO_VECTOR_STRUCT(input2);
Vector out = CONVERT_TO_VECTOR_STRUCT_NO_STEP(output);
VEC_DATA_TYPE(DATA_TYPE_IN2, 2)
in2_data = CONVERT(vload2(0, (__global DATA_TYPE_IN2 *)in2.ptr), VEC_DATA_TYPE(DATA_TYPE_IN2, 2));
//TODO: performance tuning for memcopy
int index = in2_data.s0;
int stride=input1_stride_y/input1_stride_x;
for(int i=0; i<stride; i++){
*((__global DATA_TYPE_OUT *)vector_offset(&out, i+get_global_id(0)))=*((__global DATA_TYPE_IN1 *)offset(&in1, i, index));
}
}
__kernel void gather_1d(VECTOR_DECLARATION(input1),
VECTOR_DECLARATION(input2),
VECTOR_DECLARATION(output))
{
Vector in1 = CONVERT_TO_VECTOR_STRUCT_NO_STEP(input1);
Vector in2 = CONVERT_TO_VECTOR_STRUCT(input2);
Vector out = CONVERT_TO_VECTOR_STRUCT_NO_STEP(output);
VEC_DATA_TYPE(DATA_TYPE_IN2, 2)
in2_data = CONVERT(vload2(0, (__global DATA_TYPE_IN2 *)in2.ptr), VEC_DATA_TYPE(DATA_TYPE_IN2, 2));
//TODO: performance tuning for memcopy
int index = in2_data.s0;
*((__global DATA_TYPE_OUT *)vector_offset(&out, get_global_id(0)))=*((__global DATA_TYPE_IN1 *)vector_offset(&in1, index));
}
|
