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-rw-r--r--tests/benchmark/common/ActivationLayer.h92
-rw-r--r--tests/benchmark/common/ConvolutionLayer.h107
-rw-r--r--tests/benchmark/common/FullyConnectedLayer.h108
-rw-r--r--tests/benchmark/common/NormalizationLayer.h96
-rw-r--r--tests/benchmark/common/PoolingLayer.h95
5 files changed, 498 insertions, 0 deletions
diff --git a/tests/benchmark/common/ActivationLayer.h b/tests/benchmark/common/ActivationLayer.h
new file mode 100644
index 0000000000..7edfb6ef3c
--- /dev/null
+++ b/tests/benchmark/common/ActivationLayer.h
@@ -0,0 +1,92 @@
+/*
+ * 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(shape, dt, 1, fixed_point_position);
+ dst = create_tensor(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
new file mode 100644
index 0000000000..594c62c50e
--- /dev/null
+++ b/tests/benchmark/common/ConvolutionLayer.h
@@ -0,0 +1,107 @@
+/*
+ * 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(src_shape, dt, 1, fixed_point_position);
+ weights = create_tensor(conv_obj.weights_shape, dt, 1, fixed_point_position);
+ bias = create_tensor(conv_obj.bias_shape, dt, 1, fixed_point_position);
+ dst = create_tensor(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
new file mode 100644
index 0000000000..88adf83f2a
--- /dev/null
+++ b/tests/benchmark/common/FullyConnectedLayer.h
@@ -0,0 +1,108 @@
+/*
+ * 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(src_shape, dt, 1, fixed_point_position);
+ weights = create_tensor(fc_obj.weights_shape, dt, 1, fixed_point_position);
+ bias = create_tensor(fc_obj.bias_shape, dt, 1, fixed_point_position);
+ dst = create_tensor(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
new file mode 100644
index 0000000000..4593fb7df3
--- /dev/null
+++ b/tests/benchmark/common/NormalizationLayer.h
@@ -0,0 +1,96 @@
+/*
+ * 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(shape, dt, 1, fixed_point_position);
+ dst = create_tensor(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
new file mode 100644
index 0000000000..5bb332fd6b
--- /dev/null
+++ b/tests/benchmark/common/PoolingLayer.h
@@ -0,0 +1,95 @@
+/*
+ * 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(src_shape, dt, 1, fixed_point_position);
+ dst = create_tensor(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__
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-02 18:14:40 +0000