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+/*
+ * Copyright (c) 2017-2018 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 "tests/AssetsLibrary.h"
+#include "tests/CL/CLAccessor.h"
+#include "tests/Globals.h"
+#include "tests/IAccessor.h"
+#include "tests/SimpleTensor.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/reference/GEMM.h"
+
+#include "ValidateExample.h"
+
+#include "utils/Utils.h"
+
+#include <cstdlib>
+
+using namespace arm_compute;
+using namespace utils;
+using namespace arm_compute::test;
+using namespace arm_compute::test::validation;
+
+RelativeTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for floating point data types */
+constexpr float tolerance_num = 0.02f; /**< Tolerance number */
+
+class CLSGEMMValidateExample : public ValidateExample
+{
+public:
+ void do_setup(int argc, char **argv) override
+ {
+ alpha = 1.0f;
+ beta = 0.0f;
+
+ CLScheduler::get().default_init(&tuner);
+ if(argc < 3)
+ {
+ // Print help
+ std::cout << "Usage: " << argv[0] << " M N K [alpha = 1.0f] [beta = 0.0f]\n\n";
+ std::cout << "Too few or no input_matrices provided. Using M=7, N=3, K=5, alpha=1.0f and beta=0.0f\n\n";
+ }
+ else
+ {
+ M = strtol(argv[1], nullptr, 10);
+ N = strtol(argv[2], nullptr, 10);
+ K = strtol(argv[3], nullptr, 10);
+ }
+
+ src0.allocator()->init(TensorInfo(TensorShape(K, M), 1, DataType::F32));
+ src1.allocator()->init(TensorInfo(TensorShape(N, K), 1, DataType::F32));
+ src2.allocator()->init(TensorInfo(TensorShape(N, M), 1, DataType::F32));
+
+ if(argc > 4)
+ {
+ alpha = strtof(argv[4], nullptr);
+
+ if(argc > 5)
+ {
+ beta = strtof(argv[5], nullptr);
+ }
+ }
+
+ init_sgemm_output(dst, src0, src1, DataType::F32);
+
+ // Configure function
+ 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
+ src2.allocator()->allocate();
+
+ fill(CLAccessor(src0), 0);
+ fill(CLAccessor(src1), 1);
+ fill(CLAccessor(src2), 2);
+ }
+ void print_parameters(framework::Printer &printer) override
+ {
+ printer.print_entry("M", support::cpp11::to_string(M));
+ printer.print_entry("N", support::cpp11::to_string(N));
+ printer.print_entry("K", support::cpp11::to_string(K));
+ }
+ void do_validate() override
+ {
+ SimpleTensor<float> ref_src0 = { TensorShape(K, M), DataType::F32, 1 };
+ SimpleTensor<float> ref_src1 = { TensorShape(N, K), DataType::F32, 1 };
+ SimpleTensor<float> ref_src2 = { TensorShape(N, M), DataType::F32, 1 };
+
+ fill(ref_src0, 0);
+ fill(ref_src1, 1);
+ fill(ref_src2, 2);
+
+ SimpleTensor<float> ref_dst = reference::gemm<float>(ref_src0, ref_src1, ref_src2, alpha, beta);
+ validate(CLAccessor(dst), ref_dst, tolerance_f32, tolerance_num);
+ }
+ void do_run() override
+ {
+ // Execute the function
+ sgemm.run();
+
+ // Make sure all the OpenCL jobs are done executing:
+ CLScheduler::get().sync();
+ }
+
+private:
+ template <typename U>
+ void fill(U &&tensor, int i)
+ {
+ switch(tensor.data_type())
+ {
+ case DataType::F16:
+ case DataType::F32:
+ {
+ std::uniform_real_distribution<> distribution(-1.0f, 1.0f);
+ library->fill(tensor, distribution, i);
+ break;
+ }
+ default:
+ library->fill_tensor_uniform(tensor, i);
+ }
+ }
+ size_t M{ 7 }, N{ 3 }, K{ 5 };
+ CLTensor src0{}, src1{}, src2{}, dst{};
+ CLGEMM sgemm{};
+ CLTuner tuner{};
+ float alpha{}, beta{};
+};
+
+/** 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, char **argv)
+{
+ return utils::run_example<CLSGEMMValidateExample>(argc, argv);
+}