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>

1 files changed, 0 insertions, 238 deletions

diff --git a/tests/benchmark/NEON/ActivationLayer.cpp b/tests/benchmark/NEON/ActivationLayer.cpp
deleted file mode 100644
index 9ea675e515..0000000000
--- a/tests/benchmark/NEON/ActivationLayer.cpp
+++ /dev/null
@@ -1,238 +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.
- */
-#include "Globals.h"
-#include "NEON/NEAccessor.h"
-#include "TensorLibrary.h"
-#include "benchmark/Datasets.h"
-#include "benchmark/Profiler.h"
-#include "benchmark/WallClockTimer.h"
-
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/runtime/NEON/functions/NEActivationLayer.h"
-#include "arm_compute/runtime/Tensor.h"
-#include "arm_compute/runtime/TensorAllocator.h"
-
-#include "benchmark/benchmark_api.h"
-
-using namespace arm_compute;
-using namespace arm_compute::test;
-using namespace arm_compute::test::benchmark;
-using namespace arm_compute::test::neon;
-
-#include "benchmark/common/ActivationLayer.h"
-
-namespace
-{
-using ActivationLayerAlexNetF32 = ActivationLayer<AlexNetActivationLayerDataset, Tensor, NEAccessor, NEActivationLayer>;
-using ActivationLayerAlexNetQS8 = ActivationLayer<AlexNetActivationLayerDataset, Tensor, NEAccessor, NEActivationLayer, DataType::QS8>;
-using ActivationLayerLeNet5     = ActivationLayer<LeNet5ActivationLayerDataset, Tensor, NEAccessor, NEActivationLayer, DataType::F32>;
-using ActivationLayerGoogLeNet  = ActivationLayer<GoogLeNetActivationLayerDataset, Tensor, NEAccessor, NEActivationLayer, DataType::F32>;
-} // namespace
-
-// F32
-BENCHMARK_DEFINE_F(ActivationLayerAlexNetF32, neon_alexnet)
-(::benchmark::State &state)
-{
-    while(state.KeepRunning())
-    {
-        // Run function
-        profiler.start();
-        act_layer.run();
-        profiler.stop();
-    }
-}
-
-BENCHMARK_REGISTER_F(ActivationLayerAlexNetF32, neon_alexnet)
-->Threads(1)
-->Apply(DataSetArgBatched<AlexNetActivationLayerDataset, 0, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerAlexNetF32, neon_alexnet)
-->Threads(1)
-->Apply(DataSetArgBatched<AlexNetActivationLayerDataset, 1, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerAlexNetF32, neon_alexnet)
-->Threads(1)
-->Apply(DataSetArgBatched<AlexNetActivationLayerDataset, 2, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerAlexNetF32, neon_alexnet)
-->Threads(1)
-->Apply(DataSetArgBatched<AlexNetActivationLayerDataset, 3, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerAlexNetF32, neon_alexnet)
-->Threads(1)
-->Apply(DataSetArgBatched<AlexNetActivationLayerDataset, 4, 1, 4, 8>);
-
-// QS8
-BENCHMARK_DEFINE_F(ActivationLayerAlexNetQS8, neon_alexnet)
-(::benchmark::State &state)
-{
-    while(state.KeepRunning())
-    {
-        // Run function
-        profiler.start();
-        act_layer.run();
-        profiler.stop();
-    }
-}
-
-BENCHMARK_REGISTER_F(ActivationLayerAlexNetQS8, neon_alexnet)
-->Threads(1)
-->Apply(DataSetArgBatched<AlexNetActivationLayerDataset, 0, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerAlexNetQS8, neon_alexnet)
-->Threads(1)
-->Apply(DataSetArgBatched<AlexNetActivationLayerDataset, 1, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerAlexNetQS8, neon_alexnet)
-->Threads(1)
-->Apply(DataSetArgBatched<AlexNetActivationLayerDataset, 2, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerAlexNetQS8, neon_alexnet)
-->Threads(1)
-->Apply(DataSetArgBatched<AlexNetActivationLayerDataset, 3, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerAlexNetQS8, neon_alexnet)
-->Threads(1)
-->Apply(DataSetArgBatched<AlexNetActivationLayerDataset, 4, 1, 4, 8>);
-
-BENCHMARK_DEFINE_F(ActivationLayerLeNet5, neon_lenet5)
-(::benchmark::State &state)
-{
-    while(state.KeepRunning())
-    {
-        // Run function
-        profiler.start();
-        act_layer.run();
-        profiler.stop();
-    }
-}
-
-BENCHMARK_REGISTER_F(ActivationLayerLeNet5, neon_lenet5)
-->Threads(1)
-->Apply(DataSetArgBatched<LeNet5ActivationLayerDataset, 0, 1, 4, 8>);
-
-BENCHMARK_DEFINE_F(ActivationLayerGoogLeNet, neon_googlenet)
-(::benchmark::State &state)
-{
-    while(state.KeepRunning())
-    {
-        // Run function
-        profiler.start();
-        act_layer.run();
-        profiler.stop();
-    }
-}
-
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 0, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 1, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 2, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 3, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 4, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 5, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 6, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 7, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 8, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 9, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 10, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 11, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 12, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 13, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 14, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 15, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 16, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 17, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 18, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 19, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 20, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 21, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 22, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 23, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 24, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 25, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 26, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 27, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 28, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 29, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 30, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 31, 1, 4, 8>);
-BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, neon_googlenet)
-->Threads(1)
-->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 32, 1, 4, 8>);