1 files changed, 0 insertions, 99 deletions
diff --git a/tests/validation_old/dataset/NormalizationLayerDataset.h b/tests/validation_old/dataset/NormalizationLayerDataset.h
deleted file mode 100644
index 489d1e0af2..0000000000
--- a/tests/validation_old/dataset/NormalizationLayerDataset.h
+++ /dev/null
@@ -1,99 +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_NORMALIZATION_LAYER_DATASET_H__
-#define __ARM_COMPUTE_TEST_DATASET_NORMALIZATION_LAYER_DATASET_H__
-
-#include "utils/TypePrinter.h"
-
-#include "arm_compute/core/TensorShape.h"
-#include "arm_compute/core/Types.h"
-#include "tests/validation_old/dataset/GenericDataset.h"
-
-#include <sstream>
-#include <type_traits>
-
-#ifdef BOOST
-#include "tests/validation_old/boost_wrapper.h"
-#endif /* BOOST */
-
-namespace arm_compute
-{
-namespace test
-{
-class NormalizationLayerDataObject
-{
-public:
-    operator std::string() const
-    {
-        std::stringstream ss;
-        ss << "NormalizationLayer";
-        ss << "_I" << shape;
-        ss << "_F_" << info.type();
-        ss << "_S_" << info.norm_size();
-        return ss.str();
-    }
-
-public:
-    TensorShape            shape;
-    NormalizationLayerInfo info;
-};
-
-template <unsigned int Size>
-using NormalizationLayerDataset = GenericDataset<NormalizationLayerDataObject, Size>;
-
-class GoogLeNetNormalizationLayerDataset final : public NormalizationLayerDataset<2>
-{
-public:
-    GoogLeNetNormalizationLayerDataset()
-        : GenericDataset
-    {
-        // conv2/norm2
-        NormalizationLayerDataObject{ TensorShape(56U, 56U, 192U), NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f) },
-        // pool1/norm1
-        NormalizationLayerDataObject{ TensorShape(56U, 56U, 64U), NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f) }
-    }
-    {
-    }
-
-    ~GoogLeNetNormalizationLayerDataset() = default;
-};
-
-class AlexNetNormalizationLayerDataset final : public NormalizationLayerDataset<2>
-{
-public:
-    AlexNetNormalizationLayerDataset()
-        : GenericDataset
-    {
-        NormalizationLayerDataObject{ TensorShape(55U, 55U, 96U), NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f) },
-        NormalizationLayerDataObject{ TensorShape(27U, 27U, 256U), NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f) },
-    }
-    {
-    }
-
-    ~AlexNetNormalizationLayerDataset() = default;
-};
-
-} // namespace test
-} // namespace arm_compute
-#endif /* __ARM_COMPUTE_TEST_DATASET_NORMALIZATION_LAYER_DATASET_H__ */