249 lines
9.2 KiB
C++
249 lines
9.2 KiB
C++
/*
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* Copyright (c) 2019-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_CL /* Needed by Utils.cpp to handle OpenCL exceptions properly */
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#error "This example needs to be built with -DARM_COMPUTE_CL"
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#endif /* ARM_COMPUTE_CL */
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#include "CommonGemmExampleOptions.h"
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#include "arm_compute/core/Helpers.h"
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#include "arm_compute/core/KernelDescriptors.h"
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#include "arm_compute/core/Types.h"
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#include "arm_compute/core/utils/misc/ShapeCalculator.h"
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#include "arm_compute/runtime/CL/CLScheduler.h"
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#include "arm_compute/runtime/CL/CLTuner.h"
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#include "src/core/CL/kernels/CLGEMMMatrixMultiplyNativeKernel.h"
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#include "tests/CL/Helper.h"
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#include "utils/Utils.h"
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#include "utils/command_line/CommandLineOptions.h"
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#include "utils/command_line/CommandLineParser.h"
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#include <cstdlib>
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using namespace arm_compute;
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using namespace utils;
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using namespace arm_compute::misc::shape_calculator;
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using namespace gemm_tuner;
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namespace
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{
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/** Structure holding all tunable gemm configs specific to this example/strategy */
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struct GemmConfigs
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{
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size_t m0{ 4 }; /**< Number of rows processed by the matrix multiplication */
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size_t n0{ 4 }; /**< Number of columns processed by the matrix multiplication */
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size_t k0{ 4 }; /**< Number of partial accumulations performed by the matrix multiplication */
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};
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/** Formatted output of the GemmConfigs type
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*
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* @param[out] os Output stream.
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* @param[in] configs Tunable configurations to output
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*
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* @return Modified output stream.
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*/
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::std::ostream &operator<<(::std::ostream &os, const GemmConfigs &configs)
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{
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std::string false_str = std::string("false");
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std::string true_str = std::string("true");
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os << "m0 : " << configs.m0 << std::endl;
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os << "n0 : " << configs.n0 << std::endl;
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os << "k0 : " << configs.k0 << std::endl;
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return os;
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}
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/** Command line options for gemm configs */
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class GemmConfigOptions
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{
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public:
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/** Constructor
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*
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* @param[in,out] parser A parser on which "parse()" hasn't been called yet.
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*/
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GemmConfigOptions(CommandLineParser &parser)
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: m0(parser.add_positional_option<SimpleOption<size_t>>("m0", 4)),
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n0(parser.add_positional_option<SimpleOption<size_t>>("n0", 4)),
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k0(parser.add_positional_option<SimpleOption<size_t>>("k0", 4))
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{
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m0->set_help("Number of rows processed by the matrix multiplication");
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n0->set_help("Number of columns processed by the matrix multiplication");
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k0->set_help("Number of partial accumulations performed by the matrix multiplication");
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}
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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GemmConfigOptions(const GemmConfigOptions &) = delete;
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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GemmConfigOptions &operator=(const GemmConfigOptions &) = delete;
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/** Allow instances of this class to be moved */
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GemmConfigOptions(GemmConfigOptions &&) = default;
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/** Allow instances of this class to be moved */
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GemmConfigOptions &operator=(GemmConfigOptions &&) = default;
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/** Default destructor */
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~GemmConfigOptions() = default;
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SimpleOption<size_t> *m0; /**< Number of rows processed by the matrix multiplication option */
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SimpleOption<size_t> *n0; /**< Number of columns processed by the matrix multiplication option */
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SimpleOption<size_t> *k0; /**< Number of partial accumulations performed by the matrix multiplication option */
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};
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/** Consumes the gemm configuration options and creates a structure containing all information
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*
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* @param[in] options Options to consume
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*
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* @return Structure containing the gemm configurations
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*/
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GemmConfigs consume_gemm_configs(const GemmConfigOptions &options)
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{
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GemmConfigs configs;
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configs.m0 = options.m0->value();
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configs.n0 = options.n0->value();
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configs.k0 = options.k0->value();
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return configs;
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}
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} // namespace
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// Create function for CLGEMMMatrixMultiplyNativeKernel
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using CLGEMMMatrixMultiplyNative = test::CLSynthetizeFunction<CLGEMMMatrixMultiplyNativeKernel>;
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class CLGEMMMatrixMultiplyNativeExample : public Example
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{
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public:
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bool do_setup(int argc, char **argv) override
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{
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// Default parameters
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const float alpha = 1.0f;
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const float beta = 0.0f;
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const ActivationLayerInfo act_info = ActivationLayerInfo();
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CommonGemmExampleParams params;
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GemmConfigs configs;
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// Set up command line parser and options
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CommandLineParser parser;
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CommonGemmExampleOptions param_options(parser);
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GemmConfigOptions config_options(parser);
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// Parse command line options
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parser.parse(argc, argv);
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if(param_options.help->is_set() && param_options.help->value())
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{
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// Print help message
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parser.print_help(argv[0]);
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return false;
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}
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if(!parser.validate())
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{
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// Invalid arguments. Use default parameters and configs
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std::cerr << "Invalid arguments." << std::endl;
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parser.print_help(argv[0]);
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std::cerr << "Falling back to default parameters and configs" << std::endl;
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}
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else
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{
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// Get parameters and configs from command-line options
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params = consume_common_gemm_example_parameters(param_options);
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configs = consume_gemm_configs(config_options);
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}
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// Print gemm parameters and configurations
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std::cout << "Gemm parameters:" << std::endl;
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std::cout << params << std::endl;
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std::cout << "Gemm configurations:" << std::endl;
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std::cout << configs << std::endl;
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CLScheduler::get().default_init(&tuner);
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lhs.allocator()->init(TensorInfo(TensorShape(params.K, params.M, params.B), 1, params.data_type));
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rhs.allocator()->init(TensorInfo(TensorShape(params.N, params.K, params.B), 1, params.data_type));
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bias.allocator()->init(TensorInfo(TensorShape(params.N, 1, params.B), 1, params.data_type));
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GEMMLHSMatrixInfo lhs_info;
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lhs_info.m0 = configs.m0;
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lhs_info.k0 = configs.k0;
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GEMMRHSMatrixInfo rhs_info;
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rhs_info.n0 = configs.n0;
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rhs_info.k0 = configs.k0;
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GEMMKernelInfo kernel_info;
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kernel_info.m = params.M;
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kernel_info.n = params.N;
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kernel_info.k = params.K;
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kernel_info.depth_output_gemm3d = 0;
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kernel_info.reinterpret_input_as_3d = false;
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kernel_info.broadcast_bias = true;
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kernel_info.activation_info = act_info;
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// Validate argments
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Status status{};
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status = gemm.validate((&lhs)->info(), (&rhs)->info(), (&bias)->info(), (&dst)->info(), alpha, beta, lhs_info, rhs_info, kernel_info);
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if(!status)
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{
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// Unsupported arguments
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std::cerr << "Unsupported arguments." << std::endl;
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std::cerr << "Check documentation for supported/unsupported combinations" << std::endl;
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return false;
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}
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// Configure function
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gemm.configure(&lhs, &rhs, &bias, &dst, alpha, beta, lhs_info, rhs_info, kernel_info);
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// Allocate tensors
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lhs.allocator()->allocate();
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rhs.allocator()->allocate();
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bias.allocator()->allocate();
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dst.allocator()->allocate();
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return true;
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}
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void do_run() override
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{
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// Execute the function
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gemm.run();
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// Make sure all the OpenCL jobs are done executing:
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CLScheduler::get().sync();
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}
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void do_teardown() override
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{
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}
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private:
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CLTensor lhs{};
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CLTensor rhs{};
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CLTensor bias{};
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CLTensor dst{};
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CLTuner tuner{};
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CLGEMMMatrixMultiplyNative gemm{};
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};
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/** Main program for gemm native test
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*
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* @param[in] argc Number of arguments
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* @param[in] argv Arguments ( [optional] M, [optional] N, [optional] K, [optional] B, [optional] m0, [optional] n0, [optional] k0 )
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*/
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int main(int argc, char **argv)
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{
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return run_example<CLGEMMMatrixMultiplyNativeExample>(argc, argv);
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}
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