COMPMID-415: Port benchmark tests and remove google benchmark

Change-Id: I2f17720a4e974b2cc4481f2884d9f351e8f78b5f
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/79776
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

5 files changed, 0 insertions, 498 deletions

diff --git a/tests/benchmark/common/ActivationLayer.h b/tests/benchmark/common/ActivationLayer.h
deleted file mode 100644
index 8e22281025..0000000000
--- a/tests/benchmark/common/ActivationLayer.h
+++ /dev/null
@@ -1,92 +0,0 @@
-/*
- * 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_ACTIVATION_LAYER_H__
-#define __ARM_COMPUTE_TEST_BENCHMARK_ACTIVATION_LAYER_H__
-
-#include "TensorLibrary.h"
-#include "Utils.h"
-#include "dataset/ActivationLayerDataset.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
-{
-template <typename DataSet, typename TensorType, typename Accessor, typename Function, DataType dt = DataType::F32>
-class ActivationLayer : public ::benchmark::Fixture
-{
-public:
-    void SetUp(::benchmark::State &state) override
-    {
-        profiler.add(std::make_shared<WallClockTimer>());
-
-        const ActivationLayerDataObject act_obj = *(DataSet().begin() + state.range(0));
-
-        // Set batched in source and destination shapes
-        const unsigned int batches              = state.range(1);
-        const unsigned int fixed_point_position = 4;
-        TensorShape        shape                = act_obj.shape;
-        shape.set(shape.num_dimensions(), batches);
-
-        // Create tensors
-        src = create_tensor<TensorType>(shape, dt, 1, fixed_point_position);
-        dst = create_tensor<TensorType>(shape, dt, 1, fixed_point_position);
-
-        // Create and configure function
-        act_layer.configure(&src, &dst, act_obj.info);
-
-        // Allocate tensors
-        src.allocator()->allocate();
-        dst.allocator()->allocate();
-
-        // Fill tensors
-        library->fill_tensor_uniform(Accessor(src), 0);
-    }
-
-    void TearDown(::benchmark::State &state) override
-    {
-        src.allocator()->free();
-        dst.allocator()->free();
-
-        profiler.submit(state);
-    }
-
-    Function act_layer{};
-    Profiler profiler{};
-
-private:
-    TensorType src{};
-    TensorType dst{};
-};
-} // namespace benchmark
-} // namespace test
-} // namespace arm_compute
-#endif //__ARM_COMPUTE_TEST_BENCHMARK_ACTIVATION_LAYER_H__
diff --git a/tests/benchmark/common/ConvolutionLayer.h b/tests/benchmark/common/ConvolutionLayer.h
deleted file mode 100644
index a777a95bde..0000000000
--- a/tests/benchmark/common/ConvolutionLayer.h
+++ /dev/null
@@ -1,107 +0,0 @@
-/*
- * 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_CONVOLUTION_LAYER_H__
-#define __ARM_COMPUTE_TEST_BENCHMARK_CONVOLUTION_LAYER_H__
-
-#include "TensorLibrary.h"
-#include "Utils.h"
-#include "dataset/ConvolutionLayerDataset.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
-{
-template <typename DataSet, typename TensorType, typename Accessor, typename Function, DataType dt = DataType::F32>
-class ConvolutionLayer : public ::benchmark::Fixture
-{
-public:
-    void SetUp(::benchmark::State &state) override
-    {
-        profiler.add(std::make_shared<WallClockTimer>());
-
-        const ConvolutionLayerDataObject conv_obj = *(DataSet().begin() + state.range(0));
-
-        // Set batched in source and destination shapes
-        const unsigned int batches              = state.range(1);
-        const unsigned int fixed_point_position = 4;
-        TensorShape        src_shape            = conv_obj.src_shape;
-        TensorShape        dst_shape            = conv_obj.dst_shape;
-        src_shape.set(3 /* batch */, batches);
-        dst_shape.set(3 /* batch */, batches);
-
-        // Create tensors
-        src     = create_tensor<TensorType>(src_shape, dt, 1, fixed_point_position);
-        weights = create_tensor<TensorType>(conv_obj.weights_shape, dt, 1, fixed_point_position);
-        bias    = create_tensor<TensorType>(conv_obj.bias_shape, dt, 1, fixed_point_position);
-        dst     = create_tensor<TensorType>(dst_shape, dt, 1, fixed_point_position);
-
-        // Create and configure function
-        conv_layer = std::unique_ptr<Function>(new Function());
-        conv_layer->configure(&src, &weights, &bias, &dst, conv_obj.info);
-
-        // Allocate tensors
-        src.allocator()->allocate();
-        weights.allocator()->allocate();
-        bias.allocator()->allocate();
-        dst.allocator()->allocate();
-
-        // Fill tensors
-        library->fill_tensor_uniform(Accessor(src), 0);
-        library->fill_tensor_uniform(Accessor(weights), 1);
-        library->fill_tensor_uniform(Accessor(bias), 2);
-    }
-
-    void TearDown(::benchmark::State &state) override
-    {
-        conv_layer.reset();
-
-        src.allocator()->free();
-        weights.allocator()->free();
-        bias.allocator()->free();
-        dst.allocator()->free();
-
-        profiler.submit(state);
-    }
-
-    std::unique_ptr<Function> conv_layer{ nullptr };
-    Profiler                  profiler{};
-
-private:
-    TensorType src{};
-    TensorType weights{};
-    TensorType bias{};
-    TensorType dst{};
-};
-} // namespace benchmark
-} // namespace test
-} // namespace arm_compute
-#endif //__ARM_COMPUTE_TEST_BENCHMARK_CONVOLUTION_LAYER_H__
diff --git a/tests/benchmark/common/FullyConnectedLayer.h b/tests/benchmark/common/FullyConnectedLayer.h
deleted file mode 100644
index eeef1de28a..0000000000
--- a/tests/benchmark/common/FullyConnectedLayer.h
+++ /dev/null
@@ -1,108 +0,0 @@
-/*
- * 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_FULLYCONNECTED_LAYER_H__
-#define __ARM_COMPUTE_TEST_BENCHMARK_FULLYCONNECTED_LAYER_H__
-
-#include "TensorLibrary.h"
-#include "Utils.h"
-#include "dataset/ConvolutionLayerDataset.h"
-
-#include <memory>
-#include <string>
-
-using namespace arm_compute;
-using namespace arm_compute::test;
-using namespace arm_compute::test::benchmark;
-
-namespace arm_compute
-{
-namespace test
-{
-namespace benchmark
-{
-template <typename DataSet, typename TensorType, typename Accessor, typename Function, DataType dt = DataType::F32>
-class FullyConnectedLayer : public ::benchmark::Fixture
-{
-public:
-    void SetUp(::benchmark::State &state) override
-    {
-        profiler.add(std::make_shared<WallClockTimer>());
-
-        const FullyConnectedLayerDataObject fc_obj = *(DataSet().begin() + state.range(0));
-
-        // Set batched in source and destination shapes
-        const unsigned int batches              = state.range(1);
-        const unsigned int fixed_point_position = 4;
-        TensorShape        src_shape            = fc_obj.src_shape;
-        TensorShape        dst_shape            = fc_obj.dst_shape;
-        src_shape.set(src_shape.num_dimensions(), batches);
-        dst_shape.set(dst_shape.num_dimensions(), batches);
-
-        // Create tensors
-        src     = create_tensor<TensorType>(src_shape, dt, 1, fixed_point_position);
-        weights = create_tensor<TensorType>(fc_obj.weights_shape, dt, 1, fixed_point_position);
-        bias    = create_tensor<TensorType>(fc_obj.bias_shape, dt, 1, fixed_point_position);
-        dst     = create_tensor<TensorType>(dst_shape, dt, 1, fixed_point_position);
-
-        // Create and configure function
-        fc_layer = std::unique_ptr<Function>(new Function());
-        fc_layer->configure(&src, &weights, &bias, &dst);
-
-        // Allocate tensors
-        src.allocator()->allocate();
-        weights.allocator()->allocate();
-        bias.allocator()->allocate();
-        dst.allocator()->allocate();
-
-        // Fill tensors
-        library->fill_tensor_uniform(Accessor(src), 0);
-        library->fill_tensor_uniform(Accessor(weights), 1);
-        library->fill_tensor_uniform(Accessor(bias), 2);
-    }
-
-    void TearDown(::benchmark::State &state) override
-    {
-        fc_layer.reset();
-
-        src.allocator()->free();
-        weights.allocator()->free();
-        bias.allocator()->free();
-        dst.allocator()->free();
-
-        profiler.submit(state);
-    }
-
-    std::unique_ptr<Function> fc_layer{ nullptr };
-    Profiler                  profiler{};
-
-private:
-    TensorType src{};
-    TensorType weights{};
-    TensorType bias{};
-    TensorType dst{};
-};
-} // namespace benchmark
-} // namespace test
-} // namespace arm_compute
-#endif //__ARM_COMPUTE_TEST_BENCHMARK_FULLYCONNECTED_LAYER_H__
diff --git a/tests/benchmark/common/NormalizationLayer.h b/tests/benchmark/common/NormalizationLayer.h
deleted file mode 100644
index 580dca6c48..0000000000
--- a/tests/benchmark/common/NormalizationLayer.h
+++ /dev/null
@@ -1,96 +0,0 @@
-/*
- * 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_NORMALIZATION_LAYER_H__
-#define __ARM_COMPUTE_TEST_BENCHMARK_NORMALIZATION_LAYER_H__
-
-#include "TensorLibrary.h"
-#include "Utils.h"
-#include "dataset/NormalizationLayerDataset.h"
-
-#include <memory>
-#include <string>
-
-using namespace arm_compute;
-using namespace arm_compute::test;
-using namespace arm_compute::test::benchmark;
-
-namespace arm_compute
-{
-namespace test
-{
-namespace benchmark
-{
-template <typename DataSet, typename TensorType, typename Accessor, typename Function, DataType dt = DataType::F32>
-class NormalizationLayer : public ::benchmark::Fixture
-{
-public:
-    void SetUp(::benchmark::State &state) override
-    {
-        profiler.add(std::make_shared<WallClockTimer>());
-
-        const NormalizationLayerDataObject norm_obj = *(DataSet().begin() + state.range(0));
-
-        // Set batched in source and destination shapes
-        const unsigned int batches              = state.range(1);
-        const unsigned int fixed_point_position = 4;
-        TensorShape        shape                = norm_obj.shape;
-        shape.set(shape.num_dimensions(), batches);
-
-        // Create tensors
-        src = create_tensor<TensorType>(shape, dt, 1, fixed_point_position);
-        dst = create_tensor<TensorType>(shape, dt, 1, fixed_point_position);
-
-        // Create and configure function
-        norm_layer = std::unique_ptr<Function>(new Function());
-        norm_layer->configure(&src, &dst, norm_obj.info);
-
-        // Allocate tensors
-        src.allocator()->allocate();
-        dst.allocator()->allocate();
-
-        // Fill tensors
-        library->fill_tensor_uniform(Accessor(src), 0);
-    }
-
-    void TearDown(::benchmark::State &state) override
-    {
-        norm_layer.reset();
-
-        src.allocator()->free();
-        dst.allocator()->free();
-
-        profiler.submit(state);
-    }
-
-    std::unique_ptr<Function> norm_layer{ nullptr };
-    Profiler                  profiler{};
-
-private:
-    TensorType src{};
-    TensorType dst{};
-};
-} // namespace benchmark
-} // namespace test
-} // namespace arm_compute
-#endif //__ARM_COMPUTE_TEST_BENCHMARK_NORMALIZATION_LAYER_H__
diff --git a/tests/benchmark/common/PoolingLayer.h b/tests/benchmark/common/PoolingLayer.h
deleted file mode 100644
index 96ff905568..0000000000
--- a/tests/benchmark/common/PoolingLayer.h
+++ /dev/null
@@ -1,95 +0,0 @@
-/*
- * 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_POOLING_LAYER_H__
-#define __ARM_COMPUTE_TEST_BENCHMARK_POOLING_LAYER_H__
-
-#include "TensorLibrary.h"
-#include "Utils.h"
-#include "dataset/PoolingLayerDataset.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
-{
-template <typename DataSet, typename TensorType, typename Accessor, typename Function, DataType dt = DataType::F32>
-class PoolingLayer : public ::benchmark::Fixture
-{
-public:
-    void SetUp(::benchmark::State &state) override
-    {
-        profiler.add(std::make_shared<WallClockTimer>());
-
-        const PoolingLayerDataObject pool_obj = *(DataSet().begin() + state.range(0));
-
-        // Set batched in source and destination shapes
-        const unsigned int batches              = state.range(1);
-        const unsigned int fixed_point_position = 4;
-        TensorShape        src_shape            = pool_obj.src_shape;
-        TensorShape        dst_shape            = pool_obj.dst_shape;
-        src_shape.set(src_shape.num_dimensions(), batches);
-        dst_shape.set(dst_shape.num_dimensions(), batches);
-
-        // Create tensors
-        src = create_tensor<TensorType>(src_shape, dt, 1, fixed_point_position);
-        dst = create_tensor<TensorType>(dst_shape, dt, 1, fixed_point_position);
-
-        // Create and configure function
-        pool_layer.configure(&src, &dst, pool_obj.info);
-
-        // Allocate tensors
-        src.allocator()->allocate();
-        dst.allocator()->allocate();
-
-        // Fill tensors
-        library->fill_tensor_uniform(Accessor(src), 0);
-    }
-
-    void TearDown(::benchmark::State &state) override
-    {
-        // Free allocators
-        src.allocator()->free();
-        dst.allocator()->free();
-
-        profiler.submit(state);
-    }
-
-    Function pool_layer{};
-    Profiler profiler{};
-
-private:
-    TensorType src{};
-    TensorType dst{};
-};
-} // namespace benchmark
-} // namespace test
-} // namespace arm_compute
-#endif //__ARM_COMPUTE_TEST_BENCHMARK_POOLING_LAYER_H__