COMPMID-1462 SSD support: Create CL PriorBox

Change-Id: I5bf5d751ec7c02d96c26a769f49d03ea23a248b7

5 files changed, 551 insertions, 0 deletions

diff --git a/tests/datasets/PriorBoxLayerDataset.h b/tests/datasets/PriorBoxLayerDataset.h
new file mode 100644
index 0000000000..22a0d97057
--- /dev/null
+++ b/tests/datasets/PriorBoxLayerDataset.h
@@ -0,0 +1,134 @@
+/*
+ * Copyright (c) 2018 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_PRIORBOX_LAYER_DATASET
+#define ARM_COMPUTE_TEST_PRIORBOX_LAYER_DATASET
+
+#include "utils/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class PriorBoxLayerDataset
+{
+public:
+    using type = std::tuple<TensorShape, PriorBoxLayerInfo>;
+
+    struct iterator
+    {
+        iterator(std::vector<TensorShape>::const_iterator       src_it,
+                 std::vector<PriorBoxLayerInfo>::const_iterator infos_it)
+            : _src_it{ std::move(src_it) },
+              _infos_it{ std::move(infos_it) }
+        {
+        }
+
+        std::string description() const
+        {
+            std::stringstream description;
+            description << "In=" << *_src_it << ":";
+            description << "Info=" << *_infos_it << ":";
+            return description.str();
+        }
+
+        PriorBoxLayerDataset::type operator*() const
+        {
+            return std::make_tuple(*_src_it, *_infos_it);
+        }
+
+        iterator &operator++()
+        {
+            ++_src_it;
+            ++_infos_it;
+
+            return *this;
+        }
+
+    private:
+        std::vector<TensorShape>::const_iterator       _src_it;
+        std::vector<PriorBoxLayerInfo>::const_iterator _infos_it;
+    };
+
+    iterator begin() const
+    {
+        return iterator(_src_shapes.begin(), _infos.begin());
+    }
+
+    int size() const
+    {
+        return std::min(_src_shapes.size(), _infos.size());
+    }
+
+    void add_config(TensorShape src, PriorBoxLayerInfo info)
+    {
+        _src_shapes.emplace_back(std::move(src));
+        _infos.emplace_back(std::move(info));
+    }
+
+protected:
+    PriorBoxLayerDataset()                        = default;
+    PriorBoxLayerDataset(PriorBoxLayerDataset &&) = default;
+
+private:
+    std::vector<TensorShape>       _src_shapes{};
+    std::vector<PriorBoxLayerInfo> _infos{};
+};
+
+class SmallPriorBoxLayerDataset final : public PriorBoxLayerDataset
+{
+public:
+    SmallPriorBoxLayerDataset()
+    {
+        std::vector<float> min_val      = { 30.f };
+        std::vector<float> var          = { 0.1, 0.1, 0.2, 0.2 };
+        std::vector<float> max_val      = { 60.f };
+        std::vector<float> aspect_ratio = { 2.f };
+        std::array<float, 2> steps = { 8.f, 8.f };
+
+        add_config(TensorShape(4U, 4U), PriorBoxLayerInfo(min_val, var, 0.5f, true, false, max_val, aspect_ratio, Coordinates2D{ 8, 8 }, steps));
+    }
+};
+
+class LargePriorBoxLayerDataset final : public PriorBoxLayerDataset
+{
+public:
+    LargePriorBoxLayerDataset()
+    {
+        std::vector<float> min_val      = { 30.f };
+        std::vector<float> var          = { 0.1, 0.1, 0.2, 0.2 };
+        std::vector<float> max_val      = { 60.f };
+        std::vector<float> aspect_ratio = { 2.f };
+        std::array<float, 2> steps = { 8.f, 8.f };
+        add_config(TensorShape(150U, 245U, 4U, 12U), PriorBoxLayerInfo(min_val, var, 0.5f, true, false, max_val, aspect_ratio, Coordinates2D{ 8, 8 }, steps));
+    }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_PRIORBOX_LAYER_DATASET */
diff --git a/tests/validation/CL/PriorBoxLayer.cpp b/tests/validation/CL/PriorBoxLayer.cpp
new file mode 100644
index 0000000000..79776b5bcd
--- /dev/null
+++ b/tests/validation/CL/PriorBoxLayer.cpp
@@ -0,0 +1,103 @@
+/*
+ * Copyright (c) 2018 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 "arm_compute/core/Types.h"
+#include "arm_compute/runtime/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/CLTensorAllocator.h"
+#include "arm_compute/runtime/CL/functions/CLPriorBoxLayer.h"
+#include "tests/CL/CLAccessor.h"
+#include "tests/PaddingCalculator.h"
+#include "tests/datasets/PriorBoxLayerDataset.h"
+#include "tests/datasets/ShapeDatasets.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+#include "tests/validation/Helpers.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/PriorBoxLayerFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+constexpr AbsoluteTolerance<float> tolerance_f32(0.00001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
+} // namespace
+
+TEST_SUITE(CL)
+TEST_SUITE(PriorBoxLayer)
+
+template <typename T>
+using CLPriorBoxLayerFixture = PriorBoxLayerValidationFixture<CLTensor, CLAccessor, CLPriorBoxLayer, T>;
+
+// *INDENT-OFF*
+// clang-format off
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
+               framework::dataset::make("Input1Info", { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32),    // Window shrink
+                                                     }),
+               framework::dataset::make("Input2Info", { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32),
+                                                     })),
+               framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(1200U, 2U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(1000U, 2U), 1, DataType::F32),
+                                                     })),
+               framework::dataset::make("PriorBoxInfo",{ PriorBoxLayerInfo(std::vector<float>(1), std::vector<float>(1), 0, true, true, std::vector<float>(1), std::vector<float>(1), Coordinates2D{8, 8}, std::array<float, 2>()),
+                                                         PriorBoxLayerInfo(std::vector<float>(1), std::vector<float>(1), 0, true, true, std::vector<float>(1), std::vector<float>(1), Coordinates2D{8, 8}, std::array<float, 2>()),
+                                                     })),
+               framework::dataset::make("Expected", { true, false})),
+               input1_info, input2_info, output_info, info, expected)
+{
+    bool has_error = bool(CLPriorBoxLayer::validate(&input1_info.clone()->set_is_resizable(false), &input2_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), info));
+    ARM_COMPUTE_EXPECT(has_error == expected, framework::LogLevel::ERRORS);
+}
+// clang-format on
+// *INDENT-ON*
+
+TEST_SUITE(Float)
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLPriorBoxLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallPriorBoxLayerDataset(),
+                                                                                                                   framework::dataset::make("DataType", DataType::F32)),
+                                                                                                           framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance_f32, 0);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLPriorBoxLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargePriorBoxLayerDataset(),
+                                                                                                                 framework::dataset::make("DataType", DataType::F32)),
+                                                                                                         framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance_f32, 0);
+}
+TEST_SUITE_END() // Float
+TEST_SUITE_END() // FP32
+
+TEST_SUITE_END() // PriorBoxLayer
+TEST_SUITE_END() // CL
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/fixtures/PriorBoxLayerFixture.h b/tests/validation/fixtures/PriorBoxLayerFixture.h
new file mode 100644
index 0000000000..dd7a49ee1f
--- /dev/null
+++ b/tests/validation/fixtures/PriorBoxLayerFixture.h
@@ -0,0 +1,112 @@
+/*
+ * Copyright (c) 2018 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_PRIOR_BOX_LAYER_FIXTURE
+#define ARM_COMPUTE_TEST_PRIOR_BOX_LAYER_FIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "tests/AssetsLibrary.h"
+#include "tests/Globals.h"
+#include "tests/IAccessor.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Fixture.h"
+#include "tests/validation/Helpers.h"
+#include "tests/validation/reference/PriorBoxLayer.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class PriorBoxLayerValidationFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape input_shape, PriorBoxLayerInfo info, DataType data_type, DataLayout data_layout)
+    {
+        TensorInfo        input_info(input_shape, 1, data_type);
+        const TensorShape output_shape = misc::shape_calculator::compute_prior_box_shape(input_info, info);
+        _data_type                     = data_type;
+
+        _target    = compute_target(input_shape, output_shape, info, data_type, data_layout);
+        _reference = compute_reference(input_shape, output_shape, info, data_type);
+    }
+
+protected:
+    TensorType compute_target(TensorShape input_shape, TensorShape output_shape, PriorBoxLayerInfo info, DataType data_type, DataLayout data_layout)
+    {
+        if(data_layout == DataLayout::NHWC)
+        {
+            permute(input_shape, PermutationVector(2U, 0U, 1U));
+            permute(output_shape, PermutationVector(2U, 0U, 1U));
+        }
+
+        // Create tensors
+        TensorType src1 = create_tensor<TensorType>(input_shape, data_type, 1, QuantizationInfo(), data_layout);
+        TensorType src2 = create_tensor<TensorType>(input_shape, data_type, 1, QuantizationInfo(), data_layout);
+        TensorType dst  = create_tensor<TensorType>(output_shape, data_type, 1, QuantizationInfo(), data_layout);
+
+        // Create and configure function
+        FunctionType prior_box;
+        prior_box.configure(&src1, &src2, &dst, info);
+
+        ARM_COMPUTE_EXPECT(src1.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(src2.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Allocate tensors
+        src1.allocator()->allocate();
+        src2.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        ARM_COMPUTE_EXPECT(!src1.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!src2.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Compute function
+        prior_box.run();
+
+        return dst;
+    }
+
+    SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &output_shape, PriorBoxLayerInfo info, DataType data_type)
+    {
+        // Create reference
+        SimpleTensor<T> input1{ input_shape, data_type, 1 };
+        SimpleTensor<T> input2{ input_shape, data_type, 1 };
+
+        return reference::prior_box_layer(input1, input2, info, output_shape);
+    }
+
+    TensorType      _target{};
+    SimpleTensor<T> _reference{};
+    DataType        _data_type{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_PRIOR_BOX_LAYER_FIXTURE */
diff --git a/tests/validation/reference/PriorBoxLayer.cpp b/tests/validation/reference/PriorBoxLayer.cpp
new file mode 100644
index 0000000000..0fd4a8aa48
--- /dev/null
+++ b/tests/validation/reference/PriorBoxLayer.cpp
@@ -0,0 +1,158 @@
+/*
+ * Copyright (c) 2018 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 "PriorBoxLayer.h"
+
+#include "ActivationLayer.h"
+
+#include "tests/validation/Helpers.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> prior_box_layer(const SimpleTensor<T> &src1, const SimpleTensor<T> &src2, const PriorBoxLayerInfo &info, const TensorShape &output_shape)
+{
+    const auto layer_width  = static_cast<int>(src1.shape()[0]);
+    const auto layer_height = static_cast<int>(src1.shape()[1]);
+
+    int img_width  = info.img_size().x;
+    int img_height = info.img_size().y;
+    if(img_width == 0 || img_height == 0)
+    {
+        img_width  = static_cast<int>(src2.shape()[0]);
+        img_height = static_cast<int>(src2.shape()[1]);
+    }
+
+    float step_x = info.steps()[0];
+    float step_y = info.steps()[1];
+    if(step_x == 0.f || step_y == 0.f)
+    {
+        step_x = static_cast<float>(img_width) / layer_width;
+        step_x = static_cast<float>(img_height) / layer_height;
+    }
+
+    // Calculate number of aspect ratios
+    const int num_priors     = info.aspect_ratios().size() * info.min_sizes().size() + info.max_sizes().size();
+    const int total_elements = layer_width * layer_height * num_priors * 4;
+
+    SimpleTensor<T> result(output_shape, src1.data_type());
+
+    int idx = 0;
+    for(int y = 0; y < layer_height; ++y)
+    {
+        for(int x = 0; x < layer_width; ++x)
+        {
+            const float center_x = (x + info.offset()) * step_x;
+            const float center_y = (y + info.offset()) * step_y;
+            float       box_width;
+            float       box_height;
+            for(unsigned int i = 0; i < info.min_sizes().size(); ++i)
+            {
+                const float min_size = info.min_sizes().at(i);
+                box_width            = min_size;
+                box_height           = min_size;
+                // (xmin, ymin, xmax, ymax)
+                result[idx++] = (center_x - box_width / 2.f) / img_width;
+                result[idx++] = (center_y - box_height / 2.f) / img_height;
+                result[idx++] = (center_x + box_width / 2.f) / img_width;
+                result[idx++] = (center_y + box_height / 2.f) / img_height;
+
+                if(!info.max_sizes().empty())
+                {
+                    const float max_size = info.max_sizes().at(i);
+                    box_width            = sqrt(min_size * max_size);
+                    box_height           = box_width;
+
+                    // (xmin, ymin, xmax, ymax)
+                    result[idx++] = (center_x - box_width / 2.f) / img_width;
+                    result[idx++] = (center_y - box_height / 2.f) / img_height;
+                    result[idx++] = (center_x + box_width / 2.f) / img_width;
+                    result[idx++] = (center_y + box_height / 2.f) / img_height;
+                }
+
+                // rest of priors
+                for(auto ar : info.aspect_ratios())
+                {
+                    if(fabs(ar - 1.) < 1e-6)
+                    {
+                        continue;
+                    }
+
+                    box_width  = min_size * sqrt(ar);
+                    box_height = min_size / sqrt(ar);
+
+                    // (xmin, ymin, xmax, ymax)
+                    result[idx++] = (center_x - box_width / 2.f) / img_width;
+                    result[idx++] = (center_y - box_height / 2.f) / img_height;
+                    result[idx++] = (center_x + box_width / 2.f) / img_width;
+                    result[idx++] = (center_y + box_height / 2.f) / img_height;
+                }
+            }
+        }
+    }
+
+    // clip the coordinates
+    if(info.clip())
+    {
+        for(int i = 0; i < total_elements; ++i)
+        {
+            result[i] = std::min<T>(std::max<T>(result[i], 0.f), 1.f);
+        }
+    }
+
+    // set the variance.
+    if(info.variances().size() == 1)
+    {
+        std::fill_n(result.data() + idx, total_elements, info.variances().at(0));
+    }
+    else
+    {
+        for(int h = 0; h < layer_height; ++h)
+        {
+            for(int w = 0; w < layer_width; ++w)
+            {
+                for(int i = 0; i < num_priors; ++i)
+                {
+                    for(int j = 0; j < 4; ++j)
+                    {
+                        result[idx++] = info.variances().at(j);
+                    }
+                }
+            }
+        }
+    }
+
+    return result;
+}
+template SimpleTensor<float> prior_box_layer(const SimpleTensor<float> &src1, const SimpleTensor<float> &src2, const PriorBoxLayerInfo &info, const TensorShape &output_shape);
+
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/reference/PriorBoxLayer.h b/tests/validation/reference/PriorBoxLayer.h
new file mode 100644
index 0000000000..25e567f59a
--- /dev/null
+++ b/tests/validation/reference/PriorBoxLayer.h
@@ -0,0 +1,44 @@
+/*
+ * Copyright (c) 2018 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_PRIOR_BOX_LAYER_H__
+#define __ARM_COMPUTE_TEST_PRIOR_BOX_LAYER_H__
+
+#include "tests/SimpleTensor.h"
+#include "tests/validation/Helpers.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> prior_box_layer(const SimpleTensor<T> &src1, const SimpleTensor<T> &src2, const PriorBoxLayerInfo &info, const TensorShape &output_shape);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_PRIOR_BOX_LAYER_H__ */