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Anthony Barbier6ff3b192017-09-04 18:44:23 +01001/*
Michalis Spyroua9676112018-02-22 18:07:43 +00002 * Copyright (c) 2016-2018 ARM Limited.
Anthony Barbier6ff3b192017-09-04 18:44:23 +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#ifndef __ARM_COMPUTE_CLHELPERS_H__
25#define __ARM_COMPUTE_CLHELPERS_H__
26
Michele Di Giorgiob8fc60f2018-04-25 11:58:07 +010027#include "arm_compute/core/CL/CLTypes.h"
Anthony Barbier6ff3b192017-09-04 18:44:23 +010028#include "arm_compute/core/CL/OpenCL.h"
Michele Di Giorgiob8fc60f2018-04-25 11:58:07 +010029#include "arm_compute/core/GPUTarget.h"
Anthony Barbier6ff3b192017-09-04 18:44:23 +010030#include "arm_compute/core/Helpers.h"
Moritz Pflanzerd0ae8b82017-06-29 14:51:57 +010031#include "support/ToolchainSupport.h"
Anthony Barbier6ff3b192017-09-04 18:44:23 +010032
33#include <string>
34
35namespace arm_compute
36{
37enum class DataType;
Anthony Barbier6ff3b192017-09-04 18:44:23 +010038
39/** Max vector width of an OpenCL vector */
Anthony Barbier7068f992017-10-26 15:23:08 +010040static constexpr unsigned int max_cl_vector_width = 16;
Anthony Barbier6ff3b192017-09-04 18:44:23 +010041
42/** Translates a tensor data type to the appropriate OpenCL type.
43 *
44 * @param[in] dt @ref DataType to be translated to OpenCL type.
45 *
46 * @return The string specifying the OpenCL type to be used.
47 */
48std::string get_cl_type_from_data_type(const DataType &dt);
49
Giorgio Arena73023022018-09-04 14:55:55 +010050/** Translates a tensor data type to the appropriate OpenCL select type.
51 *
52 * @param[in] dt @ref DataType to be translated to OpenCL select type.
53 *
54 * @return The string specifying the OpenCL select type to be used.
55 */
56std::string get_cl_select_type_from_data_type(const DataType &dt);
57
SiCong Lic51b72f2017-07-28 14:46:20 +010058/** Get the size of a data type in number of bits.
59 *
60 * @param[in] dt @ref DataType.
61 *
62 * @return Number of bits in the data type specified.
63 */
64std::string get_data_size_from_data_type(const DataType &dt);
65
Georgios Pinitasac4e8732017-07-05 17:02:25 +010066/** Translates fixed point tensor data type to the underlying OpenCL type.
67 *
68 * @param[in] dt @ref DataType to be translated to OpenCL type.
69 *
70 * @return The string specifying the underlying OpenCL type to be used.
71 */
72std::string get_underlying_cl_type_from_data_type(const DataType &dt);
73
Anthony Barbier6ff3b192017-09-04 18:44:23 +010074/** Helper function to get the GPU target from CL device
75 *
76 * @param[in] device A CL device
77 *
78 * @return the GPU target
79 */
Anthony Barbierb6eb3532018-08-08 13:20:04 +010080GPUTarget get_target_from_device(const cl::Device &device);
Anthony Barbier6ff3b192017-09-04 18:44:23 +010081
steniu0134702472017-07-11 09:22:58 +010082/** Helper function to get the highest OpenCL version supported
83 *
84 * @param[in] device A CL device
85 *
86 * @return the highest OpenCL version supported
87 */
88CLVersion get_cl_version(const cl::Device &device);
Vidhya Sudhan Loganathaneb8a3992018-04-10 12:23:22 +010089
90/** Helper function to check whether a given extension is supported
91 *
92 * @param[in] device A CL device
93 * @param[in] extension_name Name of the extension to be checked
94 *
95 * @return True if the extension is supported
96 */
97bool device_supports_extension(const cl::Device &device, const char *extension_name);
98
Matthew Bentham6f31f8c2017-10-27 11:50:06 +010099/** Helper function to check whether the cl_khr_fp16 extension is supported
100 *
101 * @param[in] device A CL device
102 *
103 * @return True if the extension is supported
104 */
Anthony Barbierd727e852018-04-20 11:05:29 +0100105bool fp16_supported(const cl::Device &device);
steniu0134702472017-07-11 09:22:58 +0100106/** Helper function to check whether the arm_non_uniform_work_group_size extension is supported
107 *
108 * @param[in] device A CL device
109 *
110 * @return True if the extension is supported
111 */
Anthony Barbierd727e852018-04-20 11:05:29 +0100112bool arm_non_uniform_workgroup_supported(const cl::Device &device);
Michalis Spyroue03342e2018-01-15 14:39:13 +0000113/** Helper function to check whether the cl_arm_integer_dot_product_int8 extension is supported
114 *
115 * @param[in] device A CL device
116 *
117 * @return True if the extension is supported
118 */
119bool dot8_supported(const cl::Device &device);
Gian Marco Iodicef1c2bf02018-06-13 14:05:54 +0100120
Giorgio Arenaeff8d952018-07-02 15:29:57 +0100121/** Helper function to check whether the cl_arm_integer_dot_product_accumulate_int8 extension is supported
122 *
123 * @param[in] device A CL device
124 *
125 * @return True if the extension is supported
126 */
127bool dot8_acc_supported(const cl::Device &device);
128
Gian Marco Iodicef1c2bf02018-06-13 14:05:54 +0100129/** This function checks if the Winograd configuration (defined through the output tile, kernel size and the data layout) is supported on OpenCL
130 *
131 * @param[in] output_tile Output tile for the Winograd filtering algorithm
132 * @param[in] kernel_size Kernel size for the Winograd filtering algorithm
133 * @param[in] data_layout Data layout of the input tensor
134 *
135 * @return True if the configuration is supported
136 */
137bool cl_winograd_convolution_layer_supported(const Size2D &output_tile, const Size2D &kernel_size, DataLayout data_layout);
Anthony Barbier6ff3b192017-09-04 18:44:23 +0100138}
Anthony Barbierac69aa12017-07-03 17:39:37 +0100139#endif /* __ARM_COMPUTE_CLHELPERS_H__ */