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>
diff --git a/tests/datasets_new/ActivationLayerDataset.h b/tests/datasets_new/ActivationLayerDataset.h
new file mode 100644
index 0000000..02f5803
--- /dev/null
+++ b/tests/datasets_new/ActivationLayerDataset.h
@@ -0,0 +1,158 @@
+/*
+ * 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_ACTIVATION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_ACTIVATION_LAYER_DATASET
+
+#include "framework/datasets/Datasets.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class AlexNetActivationLayerDataset final : public
+ framework::dataset::CartesianProductDataset<framework::dataset::InitializerListDataset<TensorShape>, framework::dataset::SingletonDataset<ActivationLayerInfo>>
+{
+public:
+ AlexNetActivationLayerDataset()
+ : CartesianProductDataset
+ {
+ framework::dataset::make("Shape", {
+ TensorShape(55U, 55U, 96U), TensorShape(27U, 27U, 256U),
+ TensorShape(13U, 13U, 384U), TensorShape(13U, 13U, 256U),
+ TensorShape(4096U) }),
+ framework::dataset::make("Info", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))
+ }
+ {
+ }
+ AlexNetActivationLayerDataset(AlexNetActivationLayerDataset &&) = default;
+ ~AlexNetActivationLayerDataset() = default;
+};
+
+class LeNet5ActivationLayerDataset final : public
+ framework::dataset::CartesianProductDataset<framework::dataset::SingletonDataset<TensorShape>, framework::dataset::SingletonDataset<ActivationLayerInfo>>
+{
+public:
+ LeNet5ActivationLayerDataset()
+ : CartesianProductDataset
+ {
+ framework::dataset::make("Shape", TensorShape(500U)),
+ framework::dataset::make("Info", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))
+ }
+ {
+ }
+ LeNet5ActivationLayerDataset(LeNet5ActivationLayerDataset &&) = default;
+ ~LeNet5ActivationLayerDataset() = default;
+};
+
+class GoogLeNetActivationLayerDataset final : public
+ framework::dataset::CartesianProductDataset<framework::dataset::InitializerListDataset<TensorShape>, framework::dataset::SingletonDataset<ActivationLayerInfo>>
+{
+public:
+ GoogLeNetActivationLayerDataset()
+ : CartesianProductDataset
+ {
+ framework::dataset::make("Shape", { // conv1/relu_7x7
+ TensorShape(112U, 112U, 64U),
+ // conv2/relu_3x3_reduce
+ TensorShape(56U, 56U, 64U),
+ // conv2/relu_3x3
+ TensorShape(56U, 56U, 192U),
+ // inception_3a/relu_1x1, inception_3b/relu_pool_proj
+ TensorShape(28U, 28U, 64U),
+ // inception_3a/relu_3x3_reduce, inception_3b/relu_5x5
+ TensorShape(28U, 28U, 96U),
+ // inception_3a/relu_3x3, inception_3b/relu_1x1, inception_3b/relu_3x3_reduce
+ TensorShape(28U, 28U, 128U),
+ // inception_3a/relu_5x5_reduce
+ TensorShape(28U, 28U, 16U),
+ // inception_3a/relu_5x5, inception_3a/relu_pool_proj, inception_3b/relu_5x5_reduce
+ TensorShape(28U, 28U, 32U),
+ // inception_3b/relu_3x3
+ TensorShape(28U, 28U, 192U),
+ // inception_4a/relu_1x1
+ TensorShape(14U, 14U, 192U),
+ // inception_4a/relu_3x3_reduce
+ TensorShape(14U, 14U, 96U),
+ // inception_4a/relu_3x3
+ TensorShape(14U, 14U, 208U),
+ // inception_4a/relu_5x5_reduce
+ TensorShape(14U, 14U, 16U),
+ // inception_4a/relu_5x5
+ TensorShape(14U, 14U, 48U),
+ // inception_4a/relu_pool_proj, inception_4b/relu_5x5, inception_4b/relu_pool_proj, inception_4c/relu_5x5, inception_4c/relu_pool_proj, inception_4d/relu_5x5, inception_4d/relu_pool_proj
+ TensorShape(14U, 14U, 64U),
+ // inception_4b/relu_1x1, inception_4e/relu_3x3_reduce
+ TensorShape(14U, 14U, 160U),
+ // inception_4b/relu_3x3_reduce, inception_4d/relu_1x1
+ TensorShape(14U, 14U, 112U),
+ // inception_4b/relu_3x3
+ TensorShape(14U, 14U, 224U),
+ // inception_4b/relu_5x5_reduce, inception_4c/relu_5x5_reduce
+ TensorShape(14U, 14U, 24U),
+ // inception_4c/relu_1x1, inception_4c/relu_3x3_reduce, inception_4e/relu_5x5, inception_4e/relu_pool_proj
+ TensorShape(14U, 14U, 128U),
+ // inception_4c/relu_3x3, inception_4e/relu_1x1
+ TensorShape(14U, 14U, 256U),
+ // inception_4d/relu_3x3_reduce
+ TensorShape(14U, 14U, 144U),
+ // inception_4d/relu_3x3
+ TensorShape(14U, 14U, 288U),
+ // inception_4d/relu_5x5_reduce, inception_4e/relu_5x5_reduce
+ TensorShape(14U, 14U, 32U),
+ // inception_4e/relu_3x3
+ TensorShape(14U, 14U, 320U),
+ // inception_5a/relu_1x1
+ TensorShape(7U, 7U, 256U),
+ // inception_5a/relu_3x3_reduce
+ TensorShape(7U, 7U, 160U),
+ // inception_5a/relu_3x3
+ TensorShape(7U, 7U, 320U),
+ // inception_5a/relu_5x5_reduce
+ TensorShape(7U, 7U, 32U),
+ // inception_5a/relu_5x5, inception_5a/relu_pool_proj, inception_5b/relu_5x5, inception_5b/relu_pool_proj
+ TensorShape(7U, 7U, 128U),
+ // inception_5b/relu_1x1, inception_5b/relu_3x3
+ TensorShape(7U, 7U, 384U),
+ // inception_5b/relu_3x3_reduce
+ TensorShape(7U, 7U, 192U),
+ // inception_5b/relu_5x5_reduce
+ TensorShape(7U, 7U, 48U) }),
+ framework::dataset::make("Info", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))
+ }
+ {
+ }
+ GoogLeNetActivationLayerDataset(GoogLeNetActivationLayerDataset &&) = default;
+ ~GoogLeNetActivationLayerDataset() = default;
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_ACTIVATION_LAYER_DATASET */