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) 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"
#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)
|
