examples/gemm_tuner/cl_gemmlowp_reshaped.cpp - platform/external/ComputeLibrary - Git at Google

 /*
  * Copyright (c) 2020-2021 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.
  */
 #ifndef ARM_COMPUTE_CL /* Needed by Utils.cpp to handle OpenCL exceptions properly */
 #error "This example needs to be built with -DARM_COMPUTE_CL"
 #endif /* ARM_COMPUTE_CL */

 #include "arm_compute/core/Helpers.h"
 #include "arm_compute/core/KernelDescriptors.h"
 #include "arm_compute/core/Types.h"
 #include "arm_compute/core/utils/misc/ShapeCalculator.h"
 #include "arm_compute/runtime/CL/CLScheduler.h"
 #include "arm_compute/runtime/CL/CLTuner.h"
 #include "examples/gemm_tuner/CommonGemmExampleOptions.h"
 #include "examples/gemm_tuner/GemmTunerHelpers.h"
 #include "src/gpu/cl/kernels/ClGemmLowpMatrixMultiplyReshapedKernel.h"
 #include "src/gpu/cl/kernels/ClGemmReshapeLhsMatrixKernel.h"
 #include "tests/CL/Helper.h"
 #include "utils/Utils.h"
 #include "utils/command_line/CommandLineOptions.h"
 #include "utils/command_line/CommandLineParser.h"

 #include <cstdlib>

 using namespace arm_compute;
 using namespace arm_compute::opencl::kernels;
 using namespace utils;
 using namespace arm_compute::misc::shape_calculator;
 using namespace gemm_tuner;

 namespace
 {
 /** Structure holding all tunable gemm configs specific to this example/strategy */
 struct GemmConfigs
 {
     size_t m0{ 4 };                /**< Number of rows processed by the matrix multiplication */
     size_t n0{ 4 };                /**< Number of columns processed by the matrix multiplication */
     size_t k0{ 4 };                /**< Number of partial accumulations performed by the matrix multiplication */
     size_t v0{ 1 };                /**< Number of vertical blocks of size (m0xk0) stored on the same output row */
     size_t h0{ 1 };                /**< Number of horizontal blocks of size (k0xn0) stored on the same output row */
     bool   interleave_lhs{ true }; /**< Interleave lhs matrix */
     bool   transpose_lhs{ true };  /**< Transpose lhs matrix. */
     bool   interleave_rhs{ true }; /**< Interleave rhs matrix */
     bool   transpose_rhs{ true };  /**< Transpose rhs matrix. */
 };

 /** Formatted output of the GemmConfigs type
  *
  * @param[out] os      Output stream.
  * @param[in]  configs Tunable configurations to output
  *
  * @return Modified output stream.
  */
 ::std::ostream &operator<<(::std::ostream &os, const GemmConfigs &configs)
 {
     std::string false_str = std::string("false");
     std::string true_str  = std::string("true");

     os << "m0 : " << configs.m0 << std::endl;
     os << "n0 : " << configs.n0 << std::endl;
     os << "k0 : " << configs.k0 << std::endl;
     os << "v0 : " << configs.v0 << std::endl;
     os << "h0 : " << configs.h0 << std::endl;
     os << "interleave_lhs : " << (configs.interleave_lhs ? true_str : false_str) << std::endl;
     os << "transpose_lhs : " << (configs.transpose_lhs ? true_str : false_str) << std::endl;
     os << "interleave_rhs : " << (configs.interleave_rhs ? true_str : false_str) << std::endl;
     os << "transpose_rhs : " << (configs.transpose_rhs ? true_str : false_str) << std::endl;
     return os;
 }

 /** Command line options for gemm configs */
 class GemmConfigOptions
 {
 public:
     /** Constructor
      *
      * @param[in,out] parser A parser on which "parse()" hasn't been called yet.
      */
     GemmConfigOptions(CommandLineParser &parser)
         : m0(parser.add_positional_option<SimpleOption<size_t>>("m0", 4)),
           n0(parser.add_positional_option<SimpleOption<size_t>>("n0", 4)),
           k0(parser.add_positional_option<SimpleOption<size_t>>("k0", 4)),
           v0(parser.add_positional_option<SimpleOption<size_t>>("v0", 1)),
           h0(parser.add_positional_option<SimpleOption<size_t>>("h0", 1)),
           interleave_lhs(parser.add_positional_option<SimpleOption<size_t>>("interleave_lhs", 1)),
           interleave_rhs(parser.add_positional_option<SimpleOption<size_t>>("interleave_rhs", 1)),
           transpose_rhs(parser.add_positional_option<SimpleOption<size_t>>("transpose_rhs", 1))
     {
         m0->set_help("Number of rows processed by the matrix multiplication");
         n0->set_help("Number of columns processed by the matrix multiplication");
         k0->set_help("Number of partial accumulations performed by the matrix multiplication");
         v0->set_help("Number of vertical blocks of size (m0xk0) stored on the same output row");
         h0->set_help("Number of horizontal blocks of size (k0xn0) stored on the same output row");
         interleave_lhs->set_help("Interleave lhs matrix (1) / Do not interleave lhs matrix (0)");
         interleave_rhs->set_help("Interleave rhs matrix (1) / Do not interleave rhs matrix (0)");
         // FIXME: Currently we only support 2 variants of the gemm reshaped kernels in which transpose_lhs and
         // transpose_rhs are the opposites of each other. In the future we may extend the kernels to include the other
         // 2 variants (both transposed and none transposed)
         transpose_rhs->set_help("Transpose rhs matrix but not lhs matrix (1) / Do not transpose rhs matrix but do transpose lhs matrix (0)");
     }
     /** Prevent instances of this class from being copied (As this class contains pointers) */
     GemmConfigOptions(const GemmConfigOptions &) = delete;
     /** Prevent instances of this class from being copied (As this class contains pointers) */
     GemmConfigOptions &operator=(const GemmConfigOptions &) = delete;
     /** Allow instances of this class to be moved */
     GemmConfigOptions(GemmConfigOptions &&) = default;
     /** Allow instances of this class to be moved */
     GemmConfigOptions &operator=(GemmConfigOptions &&) = default;
     /** Default destructor */
     ~GemmConfigOptions() = default;

     SimpleOption<size_t> *m0;             /**< Number of rows processed by the matrix multiplication option */
     SimpleOption<size_t> *n0;             /**< Number of columns processed by the matrix multiplication option */
     SimpleOption<size_t> *k0;             /**< Number of partial accumulations performed by the matrix multiplication option */
     SimpleOption<size_t> *v0;             /**< Number of vertical blocks of size (m0xk0) stored on the same output row option */
     SimpleOption<size_t> *h0;             /**< Number of horizontal blocks of size (k0xn0) stored on the same output row option */
     SimpleOption<size_t> *interleave_lhs; /**< Interleave lhs matrix option (1 enable; 0 disable) */
     SimpleOption<size_t> *interleave_rhs; /**< Interleave rhs matrix option (1 enable; 0 disable) */
     // FIXME: Currently we only support 2 variants of the gemm reshaped kernels in which transpose_lhs and
     // transpose_rhs are the opposites of each other. In the future we may extend the kernels to include the other
     // 2 variants (both transposed and none transposed)
     SimpleOption<size_t> *transpose_rhs; /**< Transpose rhs matrix option (1 enable; 0 disable). Also set the lhs matrix transpose option to the opposite. */
 };

 /** Consumes the gemm configuration options and creates a structure containing all information
  *
  * @param[in] options Options to consume
  *
  * @return Structure containing the gemm configurations
  */
 GemmConfigs consume_gemm_configs(const GemmConfigOptions &options)
 {
     GemmConfigs configs;
     configs.m0             = options.m0->value();
     configs.n0             = options.n0->value();
     configs.k0             = options.k0->value();
     configs.v0             = options.v0->value();
     configs.h0             = options.h0->value();
     configs.interleave_lhs = options.interleave_lhs->value() != 0;
     // FIXME: Currently we only support 2 variants of the gemm reshaped kernels in which transpose_lhs and
     // transpose_rhs are the opposites of each other. In the future we may extend the kernels to include the other
     // 2 variants (both transposed and none transposed)
     configs.transpose_lhs  = options.transpose_rhs->value() == 0;
     configs.interleave_rhs = options.interleave_rhs->value() != 0;
     configs.transpose_rhs  = options.transpose_rhs->value() != 0;
     return configs;
 }

 } // namespace

 using ClGemmReshapeLHSMatrix           = test::CLSynthetizeOperator<ClGemmReshapeLhsMatrixKernel>;
 using ClGemmLowpMatrixMultiplyReshaped = test::CLSynthetizeOperator<ClGemmLowpMatrixMultiplyReshapedKernel>;

 class CLGEMMLowpMatrixMultiplyReshapedExample : public Example
 {
 public:
     bool do_setup(int argc, char **argv) override
     {
         // Default parameters
         CommonGemmExampleParams params;
         GemmConfigs             configs;

         // Parse command line options
         CommandLineParser        parser;
         CommonGemmExampleOptions param_options(parser, DataType::QASYMM8);
         GemmConfigOptions        config_options(parser);

         parser.parse(argc, argv);
         if(param_options.help->is_set() && param_options.help->value())
         {
             parser.print_help(argv[0]);
             return false;
         }
         if(!parser.validate())
         {
             // Invalid arguments. Use default parameters and configs
             std::cerr << "Invalid arguments." << std::endl;
             parser.print_help(argv[0]);
             std::cerr << "Falling back to default parameters and configs" << std::endl;
         }
         else
         {
             params  = consume_common_gemm_example_parameters(param_options);
             configs = consume_gemm_configs(config_options);
         }

         std::cout << "Gemm parameters:" << std::endl;
         std::cout << params << std::endl;
         std::cout << "Gemm configurations:" << std::endl;
         std::cout << configs << std::endl;

         tuner.set_tuner_mode(params.tuner_mode);

         CLScheduler::get().default_init(&tuner);

         lhs.allocator()->init(TensorInfo(TensorShape(params.K, params.M, params.B), 1, params.data_type));
         rhs.allocator()->init(TensorInfo(TensorShape(params.N, params.K, params.B), 1, params.data_type));

         // Set arbitrary quantization information
         const QuantizationInfo q_info
         {
             0.012, 3
         };
         lhs.info()->set_quantization_info(q_info);
         rhs.info()->set_quantization_info(q_info);
         dst.info()->set_quantization_info(q_info);

         GEMMLHSMatrixInfo lhs_info;
         lhs_info.m0         = configs.m0;
         lhs_info.k0         = configs.k0;
         lhs_info.v0         = configs.v0;
         lhs_info.interleave = configs.interleave_lhs;
         lhs_info.transpose  = configs.transpose_lhs;

         GEMMRHSMatrixInfo rhs_info;
         rhs_info.n0                 = configs.n0;
         rhs_info.k0                 = configs.k0;
         rhs_info.h0                 = configs.h0;
         rhs_info.interleave         = configs.interleave_rhs;
         rhs_info.transpose          = configs.transpose_rhs;
         rhs_info.export_to_cl_image = false; // CL image not supported for quantized cases yet

         lhs_reshaped.allocator()->init(TensorInfo(compute_lhs_reshaped_shape(*lhs.info(), lhs_info), 1, params.data_type));
         rhs_reshaped.allocator()->init(TensorInfo(compute_rhs_reshaped_shape(*rhs.info(), rhs_info), 1, params.data_type));
         lhs_reshaped.info()->set_quantization_info(q_info);
         rhs_reshaped.info()->set_quantization_info(q_info);

         if(rhs_info.export_to_cl_image)
         {
             if(!examples::gemm_tuner_helpers::update_padding_for_cl_image(rhs_reshaped.info()))
             {
                 std::cerr << "cl_image is not supported on the device, disable export_to_cl_image" << std::endl;
                 return false;
             }
         }

         GEMMReshapeInfo gemm_info
         {
             static_cast<int>(params.M),
             static_cast<int>(params.N),
             static_cast<int>(params.K),
             static_cast<int>(configs.h0),
             static_cast<int>(configs.v0),
             0,
             false,
             true
         };

         // Validate argments
         if(!reshape_lhs.validate(lhs.info(), lhs_reshaped.info(), lhs_info, gemm_info.reinterpret_input_as_3d()))
         {
             std::cerr << "Invalid arguments for ClGemmReshapeLHSMatrixKernel." << std::endl;
             return false;
         }

         if(!gemm.validate(lhs_reshaped.info(), rhs_reshaped.info(), dst.info(), lhs_info, rhs_info, gemm_info))
         {
             std::cerr << "Invalid arguments for ClGemmLowpMatrixMultiplyReshapedKernel." << std::endl;
             return false;
         }

         // Configure functions
         reshape_lhs.configure(lhs.info(), lhs_reshaped.info(), lhs_info);

         gemm.configure(lhs_reshaped.info(), rhs_reshaped.info(), dst.info(), lhs_info, rhs_info, gemm_info);

         // Allocate tensors
         lhs.allocator()->allocate();
         rhs.allocator()->allocate();
         lhs_reshaped.allocator()->allocate();
         rhs_reshaped.allocator()->allocate();
         dst.allocator()->allocate();

         return true;
     }
     void do_run() override
     {
         ITensorPack reshape_lsh_pack({ { ACL_SRC, &lhs }, { ACL_DST, &lhs_reshaped } });
         reshape_lhs.run(reshape_lsh_pack);

         ITensorPack gemm_pack({ { ACL_SRC_0, &lhs_reshaped }, { ACL_SRC_1, &rhs_reshaped }, { ACL_DST, &dst } });
         gemm.run(gemm_pack);

         // Make sure all the OpenCL jobs are done executing:
         CLScheduler::get().sync();
     }

     void do_teardown() override
     {
     }

 private:
     CLTensor                         lhs{};
     CLTensor                         rhs{};
     CLTensor                         lhs_reshaped{};
     CLTensor                         rhs_reshaped{};
     CLTensor                         dst{};
     CLTuner                          tuner{};
     ClGemmReshapeLHSMatrix           reshape_lhs{};
     ClGemmLowpMatrixMultiplyReshaped gemm{};
 };

 /** Main test program for gemmlowp reshaped
  *
  * @param[in] argc Number of arguments
  * @param[in] argv Arguments ( [optional] M, [optional] N, [optional] K, [optional] B, [optional] m0, [optional] n0, [optional] k0, [optional] v0, [optional] h0, [optional] interleave_lhs, [optional] interleave_rhs, [optional] transpose_rhs )
  */
 int main(int argc, char **argv)
 {
     return run_example<CLGEMMLowpMatrixMultiplyReshapedExample>(argc, argv);
 }
	/*
	* Copyright (c) 2020-2021 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.
	*/
	#ifndef ARM_COMPUTE_CL /* Needed by Utils.cpp to handle OpenCL exceptions properly */
	#error "This example needs to be built with -DARM_COMPUTE_CL"
	#endif /* ARM_COMPUTE_CL */

	#include "arm_compute/core/Helpers.h"
	#include "arm_compute/core/KernelDescriptors.h"
	#include "arm_compute/core/Types.h"
	#include "arm_compute/core/utils/misc/ShapeCalculator.h"
	#include "arm_compute/runtime/CL/CLScheduler.h"
	#include "arm_compute/runtime/CL/CLTuner.h"
	#include "examples/gemm_tuner/CommonGemmExampleOptions.h"
	#include "examples/gemm_tuner/GemmTunerHelpers.h"
	#include "src/gpu/cl/kernels/ClGemmLowpMatrixMultiplyReshapedKernel.h"
	#include "src/gpu/cl/kernels/ClGemmReshapeLhsMatrixKernel.h"
	#include "tests/CL/Helper.h"
	#include "utils/Utils.h"
	#include "utils/command_line/CommandLineOptions.h"
	#include "utils/command_line/CommandLineParser.h"

	#include <cstdlib>

	using namespace arm_compute;
	using namespace arm_compute::opencl::kernels;
	using namespace utils;
	using namespace arm_compute::misc::shape_calculator;
	using namespace gemm_tuner;

	namespace
	{
	/** Structure holding all tunable gemm configs specific to this example/strategy */
	struct GemmConfigs
	{
	size_t m0{ 4 }; /*< Number of rows processed by the matrix multiplication /
	size_t n0{ 4 }; /*< Number of columns processed by the matrix multiplication /
	size_t k0{ 4 }; /*< Number of partial accumulations performed by the matrix multiplication /
	size_t v0{ 1 }; /*< Number of vertical blocks of size (m0xk0) stored on the same output row /
	size_t h0{ 1 }; /*< Number of horizontal blocks of size (k0xn0) stored on the same output row /
	bool interleave_lhs{ true }; /*< Interleave lhs matrix /
	bool transpose_lhs{ true }; /*< Transpose lhs matrix. /
	bool interleave_rhs{ true }; /*< Interleave rhs matrix /
	bool transpose_rhs{ true }; /*< Transpose rhs matrix. /
	};

	/** Formatted output of the GemmConfigs type
	*
	* @param[out] os Output stream.
	* @param[in] configs Tunable configurations to output
	*
	* @return Modified output stream.
	*/
	::std::ostream &operator<<(::std::ostream &os, const GemmConfigs &configs)
	{
	std::string false_str = std::string("false");
	std::string true_str = std::string("true");

	os << "m0 : " << configs.m0 << std::endl;
	os << "n0 : " << configs.n0 << std::endl;
	os << "k0 : " << configs.k0 << std::endl;
	os << "v0 : " << configs.v0 << std::endl;
	os << "h0 : " << configs.h0 << std::endl;
	os << "interleave_lhs : " << (configs.interleave_lhs ? true_str : false_str) << std::endl;
	os << "transpose_lhs : " << (configs.transpose_lhs ? true_str : false_str) << std::endl;
	os << "interleave_rhs : " << (configs.interleave_rhs ? true_str : false_str) << std::endl;
	os << "transpose_rhs : " << (configs.transpose_rhs ? true_str : false_str) << std::endl;
	return os;
	}

	/** Command line options for gemm configs */
	class GemmConfigOptions
	{
	public:
	/** Constructor
	*
	* @param[in,out] parser A parser on which "parse()" hasn't been called yet.
	*/
	GemmConfigOptions(CommandLineParser &parser)
	: m0(parser.add_positional_option<SimpleOption<size_t>>("m0", 4)),
	n0(parser.add_positional_option<SimpleOption<size_t>>("n0", 4)),
	k0(parser.add_positional_option<SimpleOption<size_t>>("k0", 4)),
	v0(parser.add_positional_option<SimpleOption<size_t>>("v0", 1)),
	h0(parser.add_positional_option<SimpleOption<size_t>>("h0", 1)),
	interleave_lhs(parser.add_positional_option<SimpleOption<size_t>>("interleave_lhs", 1)),
	interleave_rhs(parser.add_positional_option<SimpleOption<size_t>>("interleave_rhs", 1)),
	transpose_rhs(parser.add_positional_option<SimpleOption<size_t>>("transpose_rhs", 1))
	{
	m0->set_help("Number of rows processed by the matrix multiplication");
	n0->set_help("Number of columns processed by the matrix multiplication");
	k0->set_help("Number of partial accumulations performed by the matrix multiplication");
	v0->set_help("Number of vertical blocks of size (m0xk0) stored on the same output row");
	h0->set_help("Number of horizontal blocks of size (k0xn0) stored on the same output row");
	interleave_lhs->set_help("Interleave lhs matrix (1) / Do not interleave lhs matrix (0)");
	interleave_rhs->set_help("Interleave rhs matrix (1) / Do not interleave rhs matrix (0)");
	// FIXME: Currently we only support 2 variants of the gemm reshaped kernels in which transpose_lhs and
	// transpose_rhs are the opposites of each other. In the future we may extend the kernels to include the other
	// 2 variants (both transposed and none transposed)
	transpose_rhs->set_help("Transpose rhs matrix but not lhs matrix (1) / Do not transpose rhs matrix but do transpose lhs matrix (0)");
	}
	/** Prevent instances of this class from being copied (As this class contains pointers) */
	GemmConfigOptions(const GemmConfigOptions &) = delete;
	/** Prevent instances of this class from being copied (As this class contains pointers) */
	GemmConfigOptions &operator=(const GemmConfigOptions &) = delete;
	/** Allow instances of this class to be moved */
	GemmConfigOptions(GemmConfigOptions &&) = default;
	/** Allow instances of this class to be moved */
	GemmConfigOptions &operator=(GemmConfigOptions &&) = default;
	/** Default destructor */
	~GemmConfigOptions() = default;

	SimpleOption<size_t> m0; /< Number of rows processed by the matrix multiplication option /
	SimpleOption<size_t> n0; /< Number of columns processed by the matrix multiplication option /
	SimpleOption<size_t> k0; /< Number of partial accumulations performed by the matrix multiplication option /
	SimpleOption<size_t> v0; /< Number of vertical blocks of size (m0xk0) stored on the same output row option /
	SimpleOption<size_t> h0; /< Number of horizontal blocks of size (k0xn0) stored on the same output row option /
	SimpleOption<size_t> interleave_lhs; /< Interleave lhs matrix option (1 enable; 0 disable) /
	SimpleOption<size_t> interleave_rhs; /< Interleave rhs matrix option (1 enable; 0 disable) /
	// FIXME: Currently we only support 2 variants of the gemm reshaped kernels in which transpose_lhs and
	// transpose_rhs are the opposites of each other. In the future we may extend the kernels to include the other
	// 2 variants (both transposed and none transposed)
	SimpleOption<size_t> transpose_rhs; /< Transpose rhs matrix option (1 enable; 0 disable). Also set the lhs matrix transpose option to the opposite. /
	};

	/** Consumes the gemm configuration options and creates a structure containing all information
	*
	* @param[in] options Options to consume
	*
	* @return Structure containing the gemm configurations
	*/
	GemmConfigs consume_gemm_configs(const GemmConfigOptions &options)
	{
	GemmConfigs configs;
	configs.m0 = options.m0->value();
	configs.n0 = options.n0->value();
	configs.k0 = options.k0->value();
	configs.v0 = options.v0->value();
	configs.h0 = options.h0->value();
	configs.interleave_lhs = options.interleave_lhs->value() != 0;
	// FIXME: Currently we only support 2 variants of the gemm reshaped kernels in which transpose_lhs and
	// transpose_rhs are the opposites of each other. In the future we may extend the kernels to include the other
	// 2 variants (both transposed and none transposed)
	configs.transpose_lhs = options.transpose_rhs->value() == 0;
	configs.interleave_rhs = options.interleave_rhs->value() != 0;
	configs.transpose_rhs = options.transpose_rhs->value() != 0;
	return configs;
	}

	} // namespace

	using ClGemmReshapeLHSMatrix = test::CLSynthetizeOperator<ClGemmReshapeLhsMatrixKernel>;
	using ClGemmLowpMatrixMultiplyReshaped = test::CLSynthetizeOperator<ClGemmLowpMatrixMultiplyReshapedKernel>;

	class CLGEMMLowpMatrixMultiplyReshapedExample : public Example
	{
	public:
	bool do_setup(int argc, char **argv) override
	{
	// Default parameters
	CommonGemmExampleParams params;
	GemmConfigs configs;

	// Parse command line options
	CommandLineParser parser;
	CommonGemmExampleOptions param_options(parser, DataType::QASYMM8);
	GemmConfigOptions config_options(parser);

	parser.parse(argc, argv);
	if(param_options.help->is_set() && param_options.help->value())
	{
	parser.print_help(argv[0]);
	return false;
	}
	if(!parser.validate())
	{
	// Invalid arguments. Use default parameters and configs
	std::cerr << "Invalid arguments." << std::endl;
	parser.print_help(argv[0]);
	std::cerr << "Falling back to default parameters and configs" << std::endl;
	}
	else
	{
	params = consume_common_gemm_example_parameters(param_options);
	configs = consume_gemm_configs(config_options);
	}

	std::cout << "Gemm parameters:" << std::endl;
	std::cout << params << std::endl;
	std::cout << "Gemm configurations:" << std::endl;
	std::cout << configs << std::endl;

	tuner.set_tuner_mode(params.tuner_mode);

	CLScheduler::get().default_init(&tuner);

	lhs.allocator()->init(TensorInfo(TensorShape(params.K, params.M, params.B), 1, params.data_type));
	rhs.allocator()->init(TensorInfo(TensorShape(params.N, params.K, params.B), 1, params.data_type));

	// Set arbitrary quantization information
	const QuantizationInfo q_info
	{
	0.012, 3
	};
	lhs.info()->set_quantization_info(q_info);
	rhs.info()->set_quantization_info(q_info);
	dst.info()->set_quantization_info(q_info);

	GEMMLHSMatrixInfo lhs_info;
	lhs_info.m0 = configs.m0;
	lhs_info.k0 = configs.k0;
	lhs_info.v0 = configs.v0;
	lhs_info.interleave = configs.interleave_lhs;
	lhs_info.transpose = configs.transpose_lhs;

	GEMMRHSMatrixInfo rhs_info;
	rhs_info.n0 = configs.n0;
	rhs_info.k0 = configs.k0;
	rhs_info.h0 = configs.h0;
	rhs_info.interleave = configs.interleave_rhs;
	rhs_info.transpose = configs.transpose_rhs;
	rhs_info.export_to_cl_image = false; // CL image not supported for quantized cases yet

	lhs_reshaped.allocator()->init(TensorInfo(compute_lhs_reshaped_shape(*lhs.info(), lhs_info), 1, params.data_type));
	rhs_reshaped.allocator()->init(TensorInfo(compute_rhs_reshaped_shape(*rhs.info(), rhs_info), 1, params.data_type));
	lhs_reshaped.info()->set_quantization_info(q_info);
	rhs_reshaped.info()->set_quantization_info(q_info);

	if(rhs_info.export_to_cl_image)
	{
	if(!examples::gemm_tuner_helpers::update_padding_for_cl_image(rhs_reshaped.info()))
	{
	std::cerr << "cl_image is not supported on the device, disable export_to_cl_image" << std::endl;
	return false;
	}
	}

	GEMMReshapeInfo gemm_info
	{
	static_cast<int>(params.M),
	static_cast<int>(params.N),
	static_cast<int>(params.K),
	static_cast<int>(configs.h0),
	static_cast<int>(configs.v0),
	0,
	false,
	true
	};

	// Validate argments
	if(!reshape_lhs.validate(lhs.info(), lhs_reshaped.info(), lhs_info, gemm_info.reinterpret_input_as_3d()))
	{
	std::cerr << "Invalid arguments for ClGemmReshapeLHSMatrixKernel." << std::endl;
	return false;
	}

	if(!gemm.validate(lhs_reshaped.info(), rhs_reshaped.info(), dst.info(), lhs_info, rhs_info, gemm_info))
	{
	std::cerr << "Invalid arguments for ClGemmLowpMatrixMultiplyReshapedKernel." << std::endl;
	return false;
	}

	// Configure functions
	reshape_lhs.configure(lhs.info(), lhs_reshaped.info(), lhs_info);

	gemm.configure(lhs_reshaped.info(), rhs_reshaped.info(), dst.info(), lhs_info, rhs_info, gemm_info);

	// Allocate tensors
	lhs.allocator()->allocate();
	rhs.allocator()->allocate();
	lhs_reshaped.allocator()->allocate();
	rhs_reshaped.allocator()->allocate();
	dst.allocator()->allocate();

	return true;
	}
	void do_run() override
	{
	ITensorPack reshape_lsh_pack({ { ACL_SRC, &lhs }, { ACL_DST, &lhs_reshaped } });
	reshape_lhs.run(reshape_lsh_pack);

	ITensorPack gemm_pack({ { ACL_SRC_0, &lhs_reshaped }, { ACL_SRC_1, &rhs_reshaped }, { ACL_DST, &dst } });
	gemm.run(gemm_pack);

	// Make sure all the OpenCL jobs are done executing:
	CLScheduler::get().sync();
	}

	void do_teardown() override
	{
	}

	private:
	CLTensor lhs{};
	CLTensor rhs{};
	CLTensor lhs_reshaped{};
	CLTensor rhs_reshaped{};
	CLTensor dst{};
	CLTuner tuner{};
	ClGemmReshapeLHSMatrix reshape_lhs{};
	ClGemmLowpMatrixMultiplyReshaped gemm{};
	};

	/** Main test program for gemmlowp reshaped
	*
	* @param[in] argc Number of arguments
	* @param[in] argv Arguments ( [optional] M, [optional] N, [optional] K, [optional] B, [optional] m0, [optional] n0, [optional] k0, [optional] v0, [optional] h0, [optional] interleave_lhs, [optional] interleave_rhs, [optional] transpose_rhs )
	*/
	int main(int argc, char **argv)
	{
	return run_example<CLGEMMLowpMatrixMultiplyReshapedExample>(argc, argv);
	}