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/*
* Copyright (c) 2017 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/Types.h"
#include "arm_compute/runtime/CL/CLFunctions.h"
#include "arm_compute/runtime/CL/CLScheduler.h"
#include "arm_compute/runtime/CL/CLTuner.h"
#include "utils/Utils.h"
using namespace arm_compute;
using namespace utils;
void main_cl_sgemm(int argc, const char **argv)
{
NPYLoader npy0, npy1, npy2;
CLImage src0, src1, src2, dst;
int alpha = 1, beta = 0;
CLTuner tuner;
CLScheduler::get().default_init(&tuner);
std::ifstream stream;
if(argc > 1)
{
stream.open(argv[1], std::fstream::in);
}
if(argc < 3 || (argc < 4 && stream.bad()))
{
// Print help
std::cout << "Usage: 1) ./build/cl_sgemm input_matrix_1.npy input_matrix_2.npy [input_matrix_3.npy] [alpha = 1] [beta = 0]\n";
std::cout << " 2) ./build/cl_sgemm M N K [alpha = 1] [beta = 0]\n\n";
std::cout << "Too few or no input_matrices provided, creating random 5x7, 3x5 and 3x7 matrices\n\n";
src0.allocator()->init(TensorInfo(5, 7, Format::F32));
src1.allocator()->init(TensorInfo(3, 5, Format::F32));
src2.allocator()->init(TensorInfo(3, 7, Format::F32));
}
else
{
if(stream.good()) /* case file1.npy file2.npy [file3.npy] [alpha = 1] [beta = 0] */
{
npy0.open(argv[1]);
npy0.init_tensor(src0, Format::F32);
npy1.open(argv[2]);
npy1.init_tensor(src1, Format::F32);
if(argc > 3)
{
stream.close();
stream.clear();
stream.open(argv[3], std::fstream::in);
if(stream.good()) /* case with third file */
{
npy2.open(argv[3]);
npy2.init_tensor(src2, Format::F32);
if(argc > 4)
{
alpha = strtol(argv[4], nullptr, 10);
if(argc > 5)
{
beta = strtol(argv[5], nullptr, 10);
}
}
}
else /* case without third file */
{
alpha = strtol(argv[3], nullptr, 10);
if(argc > 4)
{
beta = strtol(argv[4], nullptr, 10);
}
}
}
}
else /* case M N K [alpha = 1] [beta = 0] */
{
size_t M = strtol(argv[1], nullptr, 10);
size_t N = strtol(argv[2], nullptr, 10);
size_t K = strtol(argv[3], nullptr, 10);
src0.allocator()->init(TensorInfo(K, M, Format::F32));
src1.allocator()->init(TensorInfo(N, K, Format::F32));
src2.allocator()->init(TensorInfo(N, M, Format::F32));
if(argc > 4)
{
alpha = strtol(argv[4], nullptr, 10);
if(argc > 5)
{
beta = strtol(argv[5], nullptr, 10);
}
}
}
}
init_sgemm_output(dst, src0, src1, Format::F32);
// Configure function
CLGEMM sgemm;
sgemm.configure(&src0, &src1, (src2.info()->total_size() > 0) ? &src2 : nullptr, &dst, alpha, beta);
// Allocate all the images
src0.allocator()->allocate();
src1.allocator()->allocate();
dst.allocator()->allocate();
// Fill the input images with either the data provided or random data
if(npy0.is_open())
{
npy0.fill_tensor(src0);
npy1.fill_tensor(src1);
if(npy2.is_open())
{
src2.allocator()->allocate();
npy2.fill_tensor(src2);
}
}
else
{
src2.allocator()->allocate();
fill_random_tensor(src0, -1.f, 1.f);
fill_random_tensor(src1, -1.f, 1.f);
fill_random_tensor(src2, -1.f, 1.f);
}
// Dummy run for CLTuner
sgemm.run();
auto start = std::chrono::high_resolution_clock::now();
// Execute the function
sgemm.run();
// Make sure all the OpenCL jobs are done executing:
CLScheduler::get().sync();
auto stop = std::chrono::high_resolution_clock::now();
if(!npy0.is_open()) /* If the inputs were not files, print the results */
{
std::cout << "\nMatrix 1:" << std::endl;
src0.map(true);
src0.print(std::cout, IOFormatInfo());
src0.unmap();
std::cout << "Matrix 2:" << std::endl;
src1.map(true);
src1.print(std::cout, IOFormatInfo());
src1.unmap();
std::cout << "Matrix 3:" << std::endl;
src2.map(true);
src2.print(std::cout, IOFormatInfo());
src2.unmap();
std::cout << "Alpha:" << alpha << "\n\n";
std::cout << "Beta:" << beta << "\n\n";
std::cout << "Output Matrix:" << std::endl;
dst.map(true);
dst.print(std::cout, IOFormatInfo());
dst.unmap();
}
else /* Save to .npy file */
{
save_to_npy(dst, "sgemm_out.npy", npy0.is_fortran());
}
auto delta = std::chrono::duration_cast<std::chrono::microseconds>(stop - start);
std::cout << "Time elapsed: " << delta.count() << "us." << std::endl;
}
/** Main program for sgemm test
*
* @param[in] argc Number of arguments
* @param[in] argv Arguments ( [optional] Matrix A, [optional] Matrix B, [optional] Matrix C, [optional] alpha, [optional] beta )
*/
int main(int argc, const char **argv)
{
return utils::run_example(argc, argv, main_cl_sgemm);
}
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