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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_TEST_BENCHMARK_CL_GEMM_H__
+#define __ARM_COMPUTE_TEST_BENCHMARK_CL_GEMM_H__
+
+#include "TensorLibrary.h"
+#include "Utils.h"
+#include "dataset/GEMMDataset.h"
+
+#include <memory>
+
+using namespace arm_compute;
+using namespace arm_compute::test;
+using namespace arm_compute::test::benchmark;
+
+namespace arm_compute
+{
+namespace test
+{
+namespace benchmark
+{
+// FIXME: Merge with NEON/GEMM.h into common/GEMM.h after adding F16 support to NEON GEMM and QS8 support to CL GEMM
+template <typename DataSet, typename TensorType, typename Accessor, typename Function, DataType data_type>
+class GEMM : public ::benchmark::Fixture
+{
+public:
+ void SetUp(::benchmark::State &state) override
+ {
+ ARM_COMPUTE_ERROR_ON_MSG(data_type != DataType::F16 && data_type != DataType::F32, "Unsupported data type for GEMM operation");
+
+ profiler.add(std::make_shared<WallClockTimer>());
+
+ const GEMMDataObject gemm_obj = *(DataSet().begin() + state.range(0));
+
+ TensorShape shape_a = gemm_obj.shape_a;
+ TensorShape shape_b = gemm_obj.shape_b;
+ TensorShape shape_c = gemm_obj.shape_c;
+ TensorShape shape_d = gemm_obj.shape_d;
+
+ // Create tensors
+ a = create_tensor(shape_a, data_type);
+ b = create_tensor(shape_b, data_type);
+ c = create_tensor(shape_c, data_type);
+ d = create_tensor(shape_d, data_type);
+
+ // Create and configure function
+ gemm_layer = std::unique_ptr<Function>(new Function());
+ gemm_layer->configure(&a, &b, &c, &d, gemm_obj.alpha, gemm_obj.beta);
+
+ // Allocate tensors
+ a.allocator()->allocate();
+ b.allocator()->allocate();
+ c.allocator()->allocate();
+ d.allocator()->allocate();
+ }
+
+ void TearDown(::benchmark::State &state) override
+ {
+ gemm_layer.reset();
+
+ a.allocator()->free();
+ b.allocator()->free();
+ c.allocator()->free();
+ d.allocator()->free();
+
+ profiler.submit(state);
+ }
+
+ std::unique_ptr<Function> gemm_layer{ nullptr };
+ Profiler profiler{};
+
+private:
+ TensorType a{};
+ TensorType b{};
+ TensorType c{};
+ TensorType d{};
+};
+} // namespace benchmark
+} // namespace test
+} // namespace arm_compute
+#endif //__ARM_COMPUTE_TEST_BENCHMARK_CL_GEMM_H__