COMPMID-415: Rename and move tests

The boost validation is now "standalone" in validation_old and builds as
arm_compute_validation_old. The new validation builds now as
arm_compute_validation.

Change-Id: Ib93ba848a25680ac60afb92b461d574a0757150d
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/86187
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

1 files changed, 0 insertions, 177 deletions

diff --git a/tests/dataset/ActivationLayerDataset.h b/tests/dataset/ActivationLayerDataset.h
deleted file mode 100644
index ef6f382f97..0000000000
--- a/tests/dataset/ActivationLayerDataset.h
+++ /dev/null
@@ -1,177 +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_DATASET_ACTIVATION_LAYER_DATASET_H__
-#define __ARM_COMPUTE_TEST_DATASET_ACTIVATION_LAYER_DATASET_H__
-
-#include "TypePrinter.h"
-
-#include "arm_compute/core/TensorShape.h"
-#include "arm_compute/core/Types.h"
-#include "dataset/GenericDataset.h"
-
-#include <sstream>
-#include <type_traits>
-
-#ifdef BOOST
-#include "boost_wrapper.h"
-#endif /* BOOST */
-
-namespace arm_compute
-{
-namespace test
-{
-class ActivationLayerDataObject
-{
-public:
-    operator std::string() const
-    {
-        std::stringstream ss;
-        ss << "ActivationLayer";
-        ss << "_I" << shape;
-        ss << "_F_" << info.activation();
-        return ss.str();
-    }
-
-public:
-    TensorShape         shape;
-    ActivationLayerInfo info;
-};
-
-template <unsigned int Size>
-using ActivationLayerDataset = GenericDataset<ActivationLayerDataObject, Size>;
-
-class AlexNetActivationLayerDataset final : public ActivationLayerDataset<5>
-{
-public:
-    AlexNetActivationLayerDataset()
-        : GenericDataset
-    {
-        ActivationLayerDataObject{ TensorShape(55U, 55U, 96U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        ActivationLayerDataObject{ TensorShape(27U, 27U, 256U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        ActivationLayerDataObject{ TensorShape(13U, 13U, 384U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        ActivationLayerDataObject{ TensorShape(13U, 13U, 256U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        ActivationLayerDataObject{ TensorShape(4096U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-    }
-    {
-    }
-
-    ~AlexNetActivationLayerDataset() = default;
-};
-
-class LeNet5ActivationLayerDataset final : public ActivationLayerDataset<1>
-{
-public:
-    LeNet5ActivationLayerDataset()
-        : GenericDataset
-    {
-        ActivationLayerDataObject{ TensorShape(500U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-    }
-    {
-    }
-
-    ~LeNet5ActivationLayerDataset() = default;
-};
-
-class GoogLeNetActivationLayerDataset final : public ActivationLayerDataset<33>
-{
-public:
-    GoogLeNetActivationLayerDataset()
-        : GenericDataset
-    {
-        // conv1/relu_7x7
-        ActivationLayerDataObject{ TensorShape(112U, 112U, 64U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // conv2/relu_3x3_reduce
-        ActivationLayerDataObject{ TensorShape(56U, 56U, 64U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // conv2/relu_3x3
-        ActivationLayerDataObject{ TensorShape(56U, 56U, 192U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_3a/relu_1x1, inception_3b/relu_pool_proj
-        ActivationLayerDataObject{ TensorShape(28U, 28U, 64U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_3a/relu_3x3_reduce, inception_3b/relu_5x5
-        ActivationLayerDataObject{ TensorShape(28U, 28U, 96U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_3a/relu_3x3, inception_3b/relu_1x1, inception_3b/relu_3x3_reduce
-        ActivationLayerDataObject{ TensorShape(28U, 28U, 128U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_3a/relu_5x5_reduce
-        ActivationLayerDataObject{ TensorShape(28U, 28U, 16U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_3a/relu_5x5, inception_3a/relu_pool_proj, inception_3b/relu_5x5_reduce
-        ActivationLayerDataObject{ TensorShape(28U, 28U, 32U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_3b/relu_3x3
-        ActivationLayerDataObject{ TensorShape(28U, 28U, 192U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_4a/relu_1x1
-        ActivationLayerDataObject{ TensorShape(14U, 14U, 192U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_4a/relu_3x3_reduce
-        ActivationLayerDataObject{ TensorShape(14U, 14U, 96U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_4a/relu_3x3
-        ActivationLayerDataObject{ TensorShape(14U, 14U, 208U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_4a/relu_5x5_reduce
-        ActivationLayerDataObject{ TensorShape(14U, 14U, 16U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_4a/relu_5x5
-        ActivationLayerDataObject{ TensorShape(14U, 14U, 48U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // 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
-        ActivationLayerDataObject{ TensorShape(14U, 14U, 64U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_4b/relu_1x1, inception_4e/relu_3x3_reduce
-        ActivationLayerDataObject{ TensorShape(14U, 14U, 160U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_4b/relu_3x3_reduce, inception_4d/relu_1x1
-        ActivationLayerDataObject{ TensorShape(14U, 14U, 112U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_4b/relu_3x3
-        ActivationLayerDataObject{ TensorShape(14U, 14U, 224U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_4b/relu_5x5_reduce, inception_4c/relu_5x5_reduce
-        ActivationLayerDataObject{ TensorShape(14U, 14U, 24U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_4c/relu_1x1, inception_4c/relu_3x3_reduce, inception_4e/relu_5x5, inception_4e/relu_pool_proj
-        ActivationLayerDataObject{ TensorShape(14U, 14U, 128U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_4c/relu_3x3, inception_4e/relu_1x1
-        ActivationLayerDataObject{ TensorShape(14U, 14U, 256U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_4d/relu_3x3_reduce
-        ActivationLayerDataObject{ TensorShape(14U, 14U, 144U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_4d/relu_3x3
-        ActivationLayerDataObject{ TensorShape(14U, 14U, 288U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_4d/relu_5x5_reduce, inception_4e/relu_5x5_reduce
-        ActivationLayerDataObject{ TensorShape(14U, 14U, 32U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_4e/relu_3x3
-        ActivationLayerDataObject{ TensorShape(14U, 14U, 320U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_5a/relu_1x1
-        ActivationLayerDataObject{ TensorShape(7U, 7U, 256U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_5a/relu_3x3_reduce
-        ActivationLayerDataObject{ TensorShape(7U, 7U, 160U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_5a/relu_3x3
-        ActivationLayerDataObject{ TensorShape(7U, 7U, 320U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_5a/relu_5x5_reduce
-        ActivationLayerDataObject{ TensorShape(7U, 7U, 32U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_5a/relu_5x5, inception_5a/relu_pool_proj, inception_5b/relu_5x5, inception_5b/relu_pool_proj
-        ActivationLayerDataObject{ TensorShape(7U, 7U, 128U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_5b/relu_1x1, inception_5b/relu_3x3
-        ActivationLayerDataObject{ TensorShape(7U, 7U, 384U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_5b/relu_3x3_reduce
-        ActivationLayerDataObject{ TensorShape(7U, 7U, 192U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) },
-        // inception_5b/relu_5x5_reduce
-        ActivationLayerDataObject{ TensorShape(7U, 7U, 48U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }
-    }
-    {
-    }
-
-    ~GoogLeNetActivationLayerDataset() = default;
-};
-
-} // namespace test
-} // namespace arm_compute
-#endif //__ARM_COMPUTE_TEST_DATASET_ACTIVATION_LAYER_DATASET_H__