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giuros01164a2722018-11-20 18:34:46 +00001/*
Usama Arif52c54f62019-05-14 10:22:36 +01002 * Copyright (c) 2018-2019 ARM Limited.
giuros01164a2722018-11-20 18:34:46 +00003 *
4 * SPDX-License-Identifier: MIT
5 *
6 * Permission is hereby granted, free of charge, to any person obtaining a copy
7 * of this software and associated documentation files (the "Software"), to
8 * deal in the Software without restriction, including without limitation the
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10 * sell copies of the Software, and to permit persons to whom the Software is
11 * furnished to do so, subject to the following conditions:
12 *
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
15 *
16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
24#include "helpers.h"
25
26/** List of all the operations supported by this kernel.
27 * @note ADD and SUB operations, when executed on integers, support saturation */
28#ifdef SATURATE
29#define ADD(x, y) add_sat((x), (y))
30#define SUB(x, y) sub_sat((x), (y))
31#else /* SATURATE */
32#define ADD(x, y) (x) + (y)
33#define SUB(x, y) (x) - (y)
34#endif /* SATURATE */
35
36#define MAX(x, y) max(x, y)
37#define MIN(x, y) min(x, y)
38#define SQUARED_DIFF(x, y) (x - y) * (x - y)
39#define DIV(x, y) (x / y)
Usama Arif52c54f62019-05-14 10:22:36 +010040#define POWER(x, y) pow(x, y)
giuros011e6e1b82019-05-14 16:12:53 +010041#define PRELU(x, y) (select(y * x, x, x > (DATA_TYPE_OUT)0))
giuros01164a2722018-11-20 18:34:46 +000042
43#define OP_FUN_NAME_STR(op) elementwise_operation_##op
44#define OP_FUN_NAME(op) OP_FUN_NAME_STR(op)
45
46#if defined(OP) && defined(DATA_TYPE_IN1) && defined(DATA_TYPE_IN2) && defined(DATA_TYPE_OUT) && defined(VEC_SIZE)
47/** This function executes an element-wise operation among two tensors.
48 *
49 * @attention The input and output data_types need to be passed at compile time using -DDATA_TYPE_IN1, -DDATA_TYPE_IN2 and -DDATA_TYPE_OUT:
50 * e.g. -DDATA_TYPE_IN1=uchar -DDATA_TYPE_IN2=uchar -DDATA_TYPE_OUT=short
51 * @attention To perform saturating operation -DSATURATE has to be passed to the compiler otherwise wrapping policy will be used.
52 * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16
53 * @attention The element-wise operation to be executed has to be passed at compile time using -DOP (e.g., -DOP=ADD)
54 *
55 * @param[in] in1_ptr Pointer to the source tensor. Supported data types: U8/S16/F16/F32
56 * @param[in] in1_stride_x Stride of the source tensor in X dimension (in bytes)
57 * @param[in] in1_step_x in1_stride_x * number of elements along X processed per workitem(in bytes)
58 * @param[in] in1_stride_y Stride of the source tensor in Y dimension (in bytes)
59 * @param[in] in1_step_y in1_stride_y * number of elements along Y processed per workitem(in bytes)
60 * @param[in] in1_stride_z Stride of the source tensor in Z dimension (in bytes)
61 * @param[in] in1_step_z in1_stride_z * number of elements along Z processed per workitem(in bytes)
62 * @param[in] in1_offset_first_element_in_bytes The offset of the first element in the source tensor
63 * @param[in] in2_ptr Pointer to the source tensor. Supported data types: U8/S16/F16/F32
64 * @param[in] in2_stride_x Stride of the source tensor in X dimension (in bytes)
65 * @param[in] in2_step_x in2_stride_x * number of elements along X processed per workitem(in bytes)
66 * @param[in] in2_stride_y Stride of the source tensor in Y dimension (in bytes)
67 * @param[in] in2_step_y in2_stride_y * number of elements along Y processed per workitem(in bytes)
68 * @param[in] in2_stride_z Stride of the source tensor in Z dimension (in bytes)
69 * @param[in] in2_step_z in2_stride_z * number of elements along Z processed per workitem(in bytes)
70 * @param[in] in2_offset_first_element_in_bytes The offset of the first element in the source tensor
71 * @param[out] out_ptr Pointer to the destination tensor. Supported data types: U8 (only if both inputs are U8), S16/F16/F32
72 * @param[in] out_stride_x Stride of the destination tensor in X dimension (in bytes)
73 * @param[in] out_step_x out_stride_x * number of elements along X processed per workitem(in bytes)
74 * @param[in] out_stride_y Stride of the destination tensor in Y dimension (in bytes)
75 * @param[in] out_step_y out_stride_y * number of elements along Y processed per workitem(in bytes)
76 * @param[in] out_stride_z Stride of the source tensor in Z dimension (in bytes)
77 * @param[in] out_step_z out_stride_z * number of elements along Z processed per workitem(in bytes)
78 * @param[in] out_offset_first_element_in_bytes The offset of the first element in the destination tensor
79 */
80__kernel void OP_FUN_NAME(OP)(
81 TENSOR3D_DECLARATION(in1),
82 TENSOR3D_DECLARATION(in2),
83 TENSOR3D_DECLARATION(out))
84{
85 // Get pixels pointer
86 Tensor3D in1 = CONVERT_TO_TENSOR3D_STRUCT(in1);
87 Tensor3D in2 = CONVERT_TO_TENSOR3D_STRUCT(in2);
88 Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(out);
89
90 // Load values
91 VEC_DATA_TYPE(DATA_TYPE_OUT, VEC_SIZE)
92 in_a = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE_IN1 *)in1.ptr), VEC_DATA_TYPE(DATA_TYPE_OUT, VEC_SIZE));
93 VEC_DATA_TYPE(DATA_TYPE_OUT, VEC_SIZE)
94 in_b = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE_IN2 *)in2.ptr), VEC_DATA_TYPE(DATA_TYPE_OUT, VEC_SIZE));
95
96 // Calculate and store result
97 VSTORE(VEC_SIZE)
98 (OP(in_a, in_b), 0, (__global DATA_TYPE_OUT *)out.ptr);
99}
100#endif /* defined(DATA_TYPE_IN1) && defined(DATA_TYPE_IN2) && defined(DATA_TYPE_OUT) && defined(VEC_SIZE) */