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
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
|
/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
*
* 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.
*/
/*
* Copyright (c) 2017 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"
#ifndef VEC_SIZE
#define VEC_SIZE 1
#endif
#if defined(DATA_TYPE) && defined(DEPTH_OUT) && defined(NUM_DIMS)
/** Perform embedding_lookup of input tensor
*
* @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g.
* -DDATA_TYPE=short
* @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g.
* -DVEC_SIZE=16
* @attention Output tensor depth should be given as a preprocessor argument using
* -DDEPTH_OUT=depth. e.g. -DDEPTH_OUT=16
* @attention Number of input dimensions are passed as a preprocessor argument using
* -DNUM_DIMS=size, e.g. -DNUM_DIMS=4
*
* @param[in] input_ptr Pointer to the source tensor. Supported data
* types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
* @param[in] input_stride_x Stride of the source tensor in X dimension (in
* bytes)
* @param[in] input_step_x input_stride_x * number of elements along X
* processed per workitem(in bytes)
* @param[in] input_stride_y Stride of the source tensor in Y dimension (in
* bytes)
* @param[in] input_step_y input_stride_y * number of elements along Y
* processed per workitem(in bytes)
* @param[in] input_stride_z Stride of the source tensor in Z dimension (in
* bytes)
* @param[in] input_step_z input_stride_z * number of elements along Z
* processed per workitem(in bytes)
* @param[in] input_offset_first_element_in_bytes The offset of the first element in the source
* tensor
* @param[in] input_stride_w Stride of the source tensor in W dimension (in
* bytes)
* @param[in] input_step_w output_stride_w * number of elements along W
* processed per workitem(in bytes)
* @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 source 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_stride_w Stride of the source tensor in W dimension (in
* bytes)
* @param[in] output_step_w output_stride_w * number of elements along W
* processed per workitem(in bytes)
* @param[in] output_offset_first_element_in_bytes The offset of the first element in the
* destination tensor
* @param[in] lookups_ptr Pointer to the lookups vector. Supported data
* types: S32
* @param[in] lookups_stride_x Stride of the lookups vector in X dimension (in
* bytes)
* @param[in] lookups_step_x lookups_stride_x * number of elements along X
* processed per workitem(in bytes)
* @param[in] lookups_offset_first_element_in_bytes The offset of the first element in the lookups
* vector
*/
__kernel void embedding_lookup(TENSOR4D_DECLARATION(input), TENSOR4D_DECLARATION(output),
VECTOR_DECLARATION(lookups))
{
Tensor4D out = CONVERT_TO_TENSOR4D_STRUCT(output, DEPTH_OUT);
Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input, DEPTH_OUT);
Vector lups = CONVERT_TO_VECTOR_STRUCT_NO_STEP(lookups);
// lookup ids for based on the tensor dimensions
int lup_id[4] = {0};
lup_id[0] =
(NUM_DIMS == 1) ? *((__global int *)vector_offset(&lups, get_global_id(0))) : get_global_id(0);
lup_id[1] =
(NUM_DIMS == 2) ? *((__global int *)vector_offset(&lups, get_global_id(1))) : get_global_id(1);
lup_id[2] = (NUM_DIMS == 3) ? *((__global int *)vector_offset(&lups, get_global_id(2)))
: get_global_id(2) % DEPTH_OUT;
lup_id[3] = (NUM_DIMS == 4)
? *((__global int *)vector_offset(&lups, get_global_id(2) / DEPTH_OUT))
: get_global_id(2) / DEPTH_OUT;
in.ptr += input_offset_first_element_in_bytes + lup_id[0] * input_step_x +
lup_id[1] * input_step_y + lup_id[2] * input_step_z + lup_id[3] * input_step_w;
VSTORE(VEC_SIZE)
(CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)in.ptr), VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)), 0,
(__global DATA_TYPE *)out.ptr);
}
#endif // defined(DATA_TYPE) && defined(DEPTH_OUT) && defined(NUM_DIMS)
|
