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Gian Marco Iodice781cba72020-06-19 16:56:57 +01001/*
Gian Marco Iodice3cce35d2022-12-30 16:07:45 +00002 * Copyright (c) 2020-2021, 2023 Arm Limited.
Gian Marco Iodice781cba72020-06-19 16:56:57 +01003 *
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
25#ifndef ARM_COMPUTE_CL_CLUTILS_H
26#define ARM_COMPUTE_CL_CLUTILS_H
27
28#include "arm_compute/core/CL/OpenCL.h"
SiCongLi1af54162021-10-06 15:25:57 +010029#include "arm_compute/core/experimental/IPostOp.h"
Gian Marco Iodice781cba72020-06-19 16:56:57 +010030
31namespace arm_compute
32{
33class TensorShape;
SiCongLi1af54162021-10-06 15:25:57 +010034class CLBuildOptions;
35class ITensorInfo;
Gian Marco Iodice781cba72020-06-19 16:56:57 +010036
Gian Marco Iodice3cce35d2022-12-30 16:07:45 +000037/** OpenCL Image2D types */
38enum class CLImage2DType
39{
40 ReadOnly,
41 WriteOnly
42};
43
Gian Marco Iodice781cba72020-06-19 16:56:57 +010044/** Create a cl::Image2D object from an OpenCL buffer
45 *
46 * @note The following conditions are required to create a OpenCL image object from OpenCL buffer,
47 * -# The platform should support the OpenCL cl_khr_image2d_from_buffer extension
48 * -# The stride Y for the input1 should satisfy the OpenCL pitch alignment requirement
49 * -# input width should be less or equal to (CL_DEVICE_IMAGE2D_MAX_WIDTH * 4)
50 * -# input height should be less or equal to CL_DEVICE_IMAGE2D_MAX_HEIGHT
51 *
52 * It is user responsibility to ensure the above conditions are satisfied since no checks are performed within this function
53 *
54 * @param[in] ctx cl::Context object
55 * @param[in] buffer cl::Buffer object from which the OpenCL image2d object is created
56 * @param[in] shape2d 2D tensor shape
Gian Marco Iodice6f931342020-09-15 14:17:41 +010057 * @param[in] data_type DataType to use. Only supported: F32,F16
Gian Marco Iodice781cba72020-06-19 16:56:57 +010058 * @param[in] image_row_pitch Image row pitch (a.k.a. stride Y) to be used in the image2d object
Gian Marco Iodice3cce35d2022-12-30 16:07:45 +000059 * @param[in] image_type Image 2D type (@ref CLImage2DType)
Gian Marco Iodice781cba72020-06-19 16:56:57 +010060 *
61 * @return cl::Image2D object
62 */
Gian Marco Iodice3cce35d2022-12-30 16:07:45 +000063cl::Image2D create_image2d_from_buffer(const cl::Context &ctx, const cl::Buffer &buffer, const TensorShape &shape2d, DataType data_type, size_t image_row_pitch, CLImage2DType image_type);
Gian Marco Iodice781cba72020-06-19 16:56:57 +010064
SiCongLi1af54162021-10-06 15:25:57 +010065namespace experimental
66{
67/** @name (EXPERIMENTAL_POST_OPS)
68 * @{
69 */
70
71/** Manage validation, building and configurations of PostOp CL kernels */
72class PostOpCLKernelUtils final
73{
74public:
75 /** CL kernel name postfix for post ops */
76 using NamePostfix = std::string;
77 /** CL kernels that supports post ops assign each post op to a 'slot', in accordance with the postfix
78 * For example, for a kernel with postfix '_act_prelu_eltwiseadd', there are 3 slots
79 * slot 1: (unary) activation, slot 2: pRelu, slot 3: elementwise addition
80 *
81 * Some kernels may allow some slots to be optional, to support multiple combinations of post op sequences.
82 * In such cases, we need to explicitly set up a mapping between each post op and the slots for that kernel.
83 * For example, suppose we have 2 kernels with postfixes: _eltwiseadd_prelu, _act_eltwiseadd_act_prelu, where the activations in the
84 * second kernel are optional. Say we want to support an eltwise addition, followed by a prelu (sequence { eltwiseadd, prelu }).
85 * Now we can choose which one of the 2 kernels to use, since they both support this post op sequence.
86 * We can either:
87 * 1. assign the elementwise to slot 1 and prelu to slot 2 of kernel 1
88 * { { Eltwise_Add, PRelu } -> {"_eltwise_act", {1, 2} } } or
89 * 2. assign the elementwise to slot 2 and prelu to slot 4 of kernel 1
90 * { { Eltwise_Add, PRelu } -> {"_act_eltwiseadd_act_prelu", {2, 4} } }
91 */
92 using Slots = std::vector<unsigned int>;
93 using Config = std::map<PostOpTypeSequence, std::tuple<NamePostfix, Slots>>;
94
95public:
96 explicit PostOpCLKernelUtils(const Config &config);
97
98 /** Check if post op argument tensor shapes are compliant
99 * All post ops must not alter the shape of the original dst tensor (even after broadcasting)
100 *
101 * @param[in] dst Dst tensor to apply the post ops to
102 * @param[in] post_ops Post ops
103 *
104 * @return true if shapes are compliant and false otherwise
105 */
106 static bool are_post_op_shapes_compliant(const ITensorInfo *dst, const experimental::PostOpList<ITensorInfo *> &post_ops);
107 /** Check if the post op sequence is supported in the current configuration
108 *
109 * @param[in] post_ops Post ops
110 *
111 * @return true if the post op sequence is supported and false otherwise
112 */
113 bool is_post_op_sequence_supported(const PostOpList<ITensorInfo *> &post_ops) const;
114 /** Helper function to set PostOp related build options
115 * @note Convention
116 * 1. Each post op "slot" is prefixed with "P<slot number>", followed by the usual parameters for that post op.
117 * E.g. If the first slot is an activation, we need to pass 3 definitions in this way:
118 * -P1_ACTIVATION_TYPE=... -P1_ACTIVATION_A_VAL=... -P1_ACTIVATION_B_VAL=...
119 *
120 * 2. For multi-ary post ops, to pass the position of the previous op's dest tensor,
121 * we append "_X_POS_<pos>" to the post op type.
122 * E.g. for a single post op add(dst, x), where dst is the result of the main op.
123 * In this case, the position of the previous op's dest is 0, so we pass
124 * -P1_ELTWISE_OP=ADD_X_POS_0
125 *
126 * @param[out] built_opts OpenCL kernel build options
127 * @param[in] post_ops Post ops
128 *
129 */
130 void set_post_ops_cl_build_options(CLBuildOptions &built_opts, const PostOpList<ITensorInfo *> &post_ops) const;
131 /** Helper function to set PostOp kernel name
132 *
133 * @param[out] kernel_name OpenCL kernel name
134 * @param[in] post_ops Post ops
135 *
136 */
137 void set_post_ops_cl_kernel_name(std::string &kernel_name, const PostOpList<ITensorInfo *> &post_ops) const;
138
139private:
140 Config _supported_config{};
141};
142/** @} */ // end of group (EXPERIMENTAL_POST_OPS)
143
144} // namespace experimental
145
Gian Marco Iodice781cba72020-06-19 16:56:57 +0100146} // arm_compute
147
148#endif /* ARM_COMPUTE_CL_CLUTILS_H */