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
|
/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
* 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"
inline Tensor4D tensor4D_from_vector_no_step(const Vector *vector, int dim_x, int dim_y, int dim_z, int dim_w)
{
int stride_x = vector->stride_x;
int stride_y = stride_x * dim_x;
int stride_z = stride_y * dim_y;
int stride_w = stride_z * dim_z;
Tensor4D tensor =
{
.ptr = vector->ptr,
.offset_first_element_in_bytes = vector->offset_first_element_in_bytes,
.stride_x = stride_x,
.stride_y = stride_y,
.stride_z = stride_z,
.stride_w = stride_w,
};
return tensor;
}
/** Extracts a strided slice up to 4-dimensions
*
* @note Datatype should be given as a preprocessor argument using -DELEMENT_DATA_TYPE=type. e.g. -DELEMENT_DATA_TYPE=short
* @note The size of an element should be given as a preprocessor argument using -DELEMENT_SIZE=size. e.g. -DELEMENT_SIZE=2
*
* @param[in] input_ptr Pointer to the first source tensor. Supported data types: U8/S8/QS8/QASYMM8/U16/S16/QS16/U32/S32/F16/F32
* @param[in] input_stride_x Stride of the first 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_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_offset_first_element_in_bytes The offset of the first element in the destination tensor
* @param[in] dims_in The 4-dimensional dimension of the input. Supported data types: S32
* @param[in] dims_out The 4-dimensional dimension of the output. Supported data types: S32
* @param[in] starts The stride of X dimension of input tensor to be sliced. Supported data types: S32
* @param[in] strides The stride of Y dimension of input tensor to be sliced. Supported data types: S32
*/
__kernel void strided_slice(VECTOR_DECLARATION(input),
VECTOR_DECLARATION(output),
const int4 dims_in,
const int4 dims_out,
const int4 starts,
const int4 strides)
{
// TODO: Should be change to CONVERT_TO_TENSOR4D_STRUCT in order to reduce inference of the offset
Vector vec_out = CONVERT_TO_VECTOR_STRUCT_NO_STEP(output);
Vector vec_in = CONVERT_TO_VECTOR_STRUCT_NO_STEP(input);
// Implemenation
// Infer a Tensor4D from output Vector and output's dimensions info
// Infer a Tensor4D from input Vector and input's dimensions info
// Infer indices of output as 4D from the offset of output vector
// Infer indices of input as 4D from indices of output
// out(offset of output vector) = in(offset of input)
Tensor4D tensor_out = tensor4D_from_vector_no_step(&vec_out, dims_out.x, dims_out.y, dims_out.z, dims_out.w);
Tensor4D tensor_in = tensor4D_from_vector_no_step(&vec_in, dims_in.x, dims_in.y, dims_in.z, dims_in.w);
// Must be output_step_x == output_stride_x == an element's size
const int offset_out = get_global_id(0) * output_stride_x;
int4 indices_out =
{
get_global_id(0) % dims_out.x,
(offset_out / tensor_out.stride_y) % dims_out.y,
(offset_out / tensor_out.stride_z) % dims_out.z,
(offset_out / tensor_out.stride_w) % dims_out.w,
};
int4 indices_in =
{
starts.x + (strides.x * indices_out.x),
starts.y + (strides.y * indices_out.y),
starts.z + (strides.z * indices_out.z),
starts.w + (strides.w * indices_out.w),
};
*((__global ELEMENT_DATA_TYPE *)vector_offset(&vec_out, get_global_id(0))) = *((__global ELEMENT_DATA_TYPE *)tensor4D_offset(&tensor_in, indices_in.x, indices_in.y, indices_in.z, indices_in.w));
}
|
