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/*
* Copyright (c) 2019 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/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.h"
#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/CLFunctions.h"
#include "arm_compute/runtime/CL/CLScheduler.h"
#include "arm_compute/runtime/CL/CLTuner.h"
#include "tests/CL/Helper.h"
#include "utils/Utils.h"
#include <cstdlib>
using namespace arm_compute;
using namespace utils;
using namespace arm_compute::misc::shape_calculator;
namespace
{
/** Structure holding all the common gemm example parameters */
struct CommonGemmExampleParams
{
size_t M{ 100 };
size_t N{ 100 };
size_t K{ 50 };
size_t B{ 1 };
};
/** Formatted output of the CommonGemmExampleParams type
*
* @param[out] os Output stream.
* @param[in] common_params Common parameters to output
*
* @return Modified output stream.
*/
::std::ostream &operator<<(::std::ostream &os, const CommonGemmExampleParams &common_params)
{
os << "M : " << common_params.M << std::endl;
os << "N : " << common_params.N << std::endl;
os << "K : " << common_params.K << std::endl;
os << "B : " << common_params.B << std::endl;
return os;
}
/** Structure holding all tunable gemm configs specific to this example/strategy */
struct GemmConfigs
{
size_t m0{ 4 };
size_t n0{ 4 };
size_t k0{ 4 };
size_t h0{ 1 };
bool interleave_rhs{ true };
bool transpose_rhs{ true };
};
/** 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 << "h0 : " << configs.h0 << 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;
}
} // namespace
// Create function for CLGEMMMatrixMultiplyReshapedOnlyRHSKernel
using CLGEMMMatrixMultiplyReshapedOnlyRHS = test::CLSynthetizeFunction<CLGEMMMatrixMultiplyReshapedOnlyRHSKernel>;
class CLGEMMMatrixMultiplyReshapedOnlyRHSExample : public Example
{
public:
bool do_setup(int argc, char **argv) override
{
// Default parameters
const DataType data_type = DataType::F32;
const float alpha = 1.0f;
const float beta = 0.0f;
const ActivationLayerInfo act_info = ActivationLayerInfo();
CommonGemmExampleParams params;
GemmConfigs configs;
if(argc < 9 || argc > 11)
{
// Print help
// Use default parameters
std::cerr << "Usage: ./build/cl_gemm_reshaped_rhs_only M N K B m0 n0 k0 h0 [interleave_rhs = 1] [transpose_rhs = 1]\n\n";
std::cerr << "Falling back to default parameters and configs" << std::endl;
}
else
{
// Set parameters from command line arguments
params.M = strtol(argv[1], nullptr, 10);
params.N = strtol(argv[2], nullptr, 10);
params.K = strtol(argv[3], nullptr, 10);
params.B = strtol(argv[4], nullptr, 10);
configs.m0 = strtol(argv[5], nullptr, 10);
configs.n0 = strtol(argv[6], nullptr, 10);
configs.k0 = strtol(argv[7], nullptr, 10);
configs.h0 = strtol(argv[8], nullptr, 10);
if(argc > 9)
{
configs.interleave_rhs = strtol(argv[9], nullptr, 10) == 1;
}
if(argc > 10)
{
configs.transpose_rhs = strtol(argv[10], nullptr, 10) == 1;
}
}
std::cerr << "Gemm parameters:" << std::endl;
std::cerr << params << std::endl;
std::cerr << "Gemm configurations:" << std::endl;
std::cerr << configs << std::endl;
CLScheduler::get().default_init(&tuner);
lhs.allocator()->init(TensorInfo(TensorShape(params.K, params.M, params.B), 1, data_type));
rhs.allocator()->init(TensorInfo(TensorShape(params.N, params.K, params.B), 1, data_type));
bias.allocator()->init(TensorInfo(TensorShape(params.N, params.M, params.B), 1, data_type));
init_sgemm_output(dst, lhs, rhs, data_type);
GEMMLHSMatrixInfo lhs_info;
lhs_info.m0 = configs.m0;
lhs_info.k0 = configs.k0;
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;
GEMMKernelInfo kernel_info;
kernel_info.m = params.M;
kernel_info.n = params.N;
kernel_info.k = params.K;
kernel_info.depth_output_gemm3d = 0;
kernel_info.reinterpret_input_as_3d = false;
kernel_info.broadcast_bias = true;
kernel_info.activation_info = act_info;
// Initialise rhs_reshaped tensor info
auto_init_if_empty(*rhs_reshaped.info(), rhs.info()->clone()->set_tensor_shape(compute_rhs_reshaped_shape(*rhs.info(), rhs_info)));
// Configure function
gemm.configure(&lhs, &rhs_reshaped, &bias, &dst, alpha, beta, lhs_info, rhs_info, kernel_info);
// Allocate tensors
lhs.allocator()->allocate();
rhs.allocator()->allocate();
rhs_reshaped.allocator()->allocate();
bias.allocator()->allocate();
dst.allocator()->allocate();
return true;
}
void do_run() override
{
// Execute the function
gemm.run();
// Make sure all the OpenCL jobs are done executing:
CLScheduler::get().sync();
}
void do_teardown() override
{
}
private:
CLTensor lhs{};
CLTensor rhs{};
CLTensor rhs_reshaped{};
CLTensor bias{};
CLTensor dst{};
CLTuner tuner{};
CLGEMMMatrixMultiplyReshapedOnlyRHS gemm{};
};
/** Main program for gemm reshaped rhs only test
*
* @param[in] argc Number of arguments
* @param[in] argv Arguments ( M, N, K, B, m0, n0, k0, h0, [optional] interleave_rhs, [optional] transpose_rhs )
*/
int main(int argc, char **argv)
{
return utils::run_example<CLGEMMMatrixMultiplyReshapedOnlyRHSExample>(argc, argv);
}
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