COMPMID-1137 OpenCL concatenate width

Change-Id: I40faba421281b1cf080fa6a825d04a4366cdaeb0
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/130700
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>

6 files changed, 497 insertions, 0 deletions

diff --git a/tests/validation/CL/WidthConcatenateLayer.cpp b/tests/validation/CL/WidthConcatenateLayer.cpp
new file mode 100644
index 0000000000..0ff95df957
--- /dev/null
+++ b/tests/validation/CL/WidthConcatenateLayer.cpp
@@ -0,0 +1,176 @@
+/*
+ * 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/CLWidthConcatenateLayer.h"
+#include "tests/CL/CLAccessor.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/Validation.h"
+#include "tests/validation/fixtures/WidthConcatenateLayerFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+TEST_SUITE(CL)
+TEST_SUITE(WidthConcatenateLayer)
+// *INDENT-OFF*
+// clang-format off
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
+              framework::dataset::make("InputInfo1", {  TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Mismatching data type input/output
+                                                        TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Mismatching y dimension
+                                                        TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Mismatching total width
+                                                        TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32, 0)
+              }),
+              framework::dataset::make("InputInfo2", {  TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32, 0),
+                                                        TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32, 0),
+                                                        TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32, 0),
+                                                        TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32, 0)
+              })),
+              framework::dataset::make("OutputInfo", {  TensorInfo(TensorShape(47U, 27U, 5U), 1, DataType::F16, 0),
+                                                        TensorInfo(TensorShape(75U, 12U, 5U), 1, DataType::F32, 0),
+                                                        TensorInfo(TensorShape(11U, 27U, 5U), 1, DataType::F32, 0),
+                                                        TensorInfo(TensorShape(32U, 27U, 5U), 1, DataType::F32, 0)
+              })),
+              framework::dataset::make("Expected", { false, false, false, true })),
+              input_info1, input_info2, output_info,expected)
+{
+    std::vector<TensorInfo> inputs_vector_info;
+    inputs_vector_info.emplace_back(std::move(input_info1));
+    inputs_vector_info.emplace_back(std::move(input_info2));
+
+    std::vector<ITensorInfo *> inputs_vector_info_raw;
+    for(auto &input : inputs_vector_info)
+    {
+        inputs_vector_info_raw.emplace_back(&input);
+    }
+
+    bool is_valid = bool(CLWidthConcatenateLayer::validate(inputs_vector_info_raw,
+                                                           &output_info.clone()->set_is_resizable(false)));
+    ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
+}
+// clang-format on
+// *INDENT-ON*
+
+TEST_CASE(Configuration, framework::DatasetMode::ALL)
+{
+    // Create tensors
+    CLTensor src1 = create_tensor<CLTensor>(TensorShape(128U, 32U, 32U), DataType::F32, 1);
+    CLTensor src2 = create_tensor<CLTensor>(TensorShape(32U, 32U, 32U), DataType::F32, 1);
+    CLTensor src3 = create_tensor<CLTensor>(TensorShape(15U, 32U, 32U), DataType::F32, 1);
+    CLTensor dst;
+
+    ARM_COMPUTE_EXPECT(src1.info()->is_resizable(), framework::LogLevel::ERRORS);
+    ARM_COMPUTE_EXPECT(src2.info()->is_resizable(), framework::LogLevel::ERRORS);
+    ARM_COMPUTE_EXPECT(src3.info()->is_resizable(), framework::LogLevel::ERRORS);
+    ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+    // Create and configure function
+    CLWidthConcatenateLayer concat_layer;
+
+    concat_layer.configure({ &src1, &src2, &src3 }, &dst);
+}
+
+template <typename T>
+using CLWidthConcatenateLayerFixture = WidthConcatenateLayerValidationFixture<CLTensor, ICLTensor, CLAccessor, CLWidthConcatenateLayer, T>;
+
+TEST_SUITE(Float)
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLWidthConcatenateLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
+                                                                                                                  DataType::F16)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLWidthConcatenateLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
+                                                                                                                DataType::F16)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END()
+
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLWidthConcatenateLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
+                                                                                                                   DataType::F32)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLWidthConcatenateLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(), framework::dataset::make("DataType",
+                                                                                                                 DataType::F32)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END()
+TEST_SUITE_END()
+
+TEST_SUITE(Quantized)
+TEST_SUITE(QS8)
+FIXTURE_DATA_TEST_CASE(RunTiny, CLWidthConcatenateLayerFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Tiny2DShapes(),
+                                                                                                                   framework::dataset::make("DataType",
+                                                                                                                           DataType::QS8)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunSmall, CLWidthConcatenateLayerFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(),
+                                                                                                                  framework::dataset::make("DataType",
+                                                                                                                          DataType::QS8)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END()
+
+TEST_SUITE(QS16)
+FIXTURE_DATA_TEST_CASE(RunTiny, CLWidthConcatenateLayerFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Tiny2DShapes(),
+                                                                                                                    framework::dataset::make("DataType",
+                                                                                                                            DataType::QS16)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunSmall, CLWidthConcatenateLayerFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(),
+                                                                                                                   framework::dataset::make("DataType",
+                                                                                                                           DataType::QS16)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END()
+TEST_SUITE_END()
+
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/Helpers.cpp b/tests/validation/Helpers.cpp
index 0707c6a247..25dc6c568d 100644
--- a/tests/validation/Helpers.cpp
+++ b/tests/validation/Helpers.cpp
@@ -98,6 +98,21 @@ TensorShape calculate_depth_concatenate_shape(const std::vector<TensorShape> &in
     return out_shape;
 }
 
+TensorShape calculate_width_concatenate_shape(const std::vector<TensorShape> &input_shapes)
+{
+    ARM_COMPUTE_ERROR_ON(input_shapes.empty());
+
+    TensorShape out_shape = input_shapes[0];
+
+    int width = std::accumulate(input_shapes.begin(), input_shapes.end(), 0, [](int sum, const TensorShape & shape)
+    {
+        return sum + shape.x();
+    });
+    out_shape.set(0, width);
+
+    return out_shape;
+}
+
 HarrisCornersParameters harris_corners_parameters()
 {
     HarrisCornersParameters params;
diff --git a/tests/validation/Helpers.h b/tests/validation/Helpers.h
index b5597090c6..d07803fb94 100644
--- a/tests/validation/Helpers.h
+++ b/tests/validation/Helpers.h
@@ -148,6 +148,14 @@ void fill_mask_from_pattern(uint8_t *mask, int cols, int rows, MatrixPattern pat
  */
 TensorShape calculate_depth_concatenate_shape(const std::vector<TensorShape> &input_shapes);
 
+/** Calculate output tensor shape give a vector of input tensor to concatenate
+ *
+ * @param[in] input_shapes Shapes of the tensors to concatenate across width.
+ *
+ * @return The shape of output concatenated tensor.
+ */
+TensorShape calculate_width_concatenate_shape(const std::vector<TensorShape> &input_shapes);
+
 /** Parameters of Harris Corners algorithm. */
 struct HarrisCornersParameters
 {
diff --git a/tests/validation/fixtures/WidthConcatenateLayerFixture.h b/tests/validation/fixtures/WidthConcatenateLayerFixture.h
new file mode 100644
index 0000000000..cf9b12eab6
--- /dev/null
+++ b/tests/validation/fixtures/WidthConcatenateLayerFixture.h
@@ -0,0 +1,160 @@
+/*
+ * 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_WIDTHCONCATENATE_LAYER_FIXTURE
+#define ARM_COMPUTE_TEST_WIDTHCONCATENATE_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/WidthConcatenateLayer.h"
+
+#include <random>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename ITensorType, typename AccessorType, typename FunctionType, typename T>
+class WidthConcatenateLayerValidationFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, DataType data_type)
+    {
+        // Create input shapes
+        std::mt19937                    gen(library->seed());
+        std::uniform_int_distribution<> num_dis(2, 4);
+        const int                       num_tensors = num_dis(gen);
+
+        std::vector<TensorShape>         shapes(num_tensors, shape);
+        std::bernoulli_distribution      mutate_dis(0.5f);
+        std::uniform_real_distribution<> change_dis(-0.25f, 0.f);
+
+        // Generate more shapes based on the input
+        for(auto &s : shapes)
+        {
+            // Randomly change the first dimension
+            if(mutate_dis(gen))
+            {
+                // Decrease the dimension by a small percentage. Don't increase
+                // as that could make tensor too large.
+                s.set(0, s[0] + 2 * static_cast<int>(s[0] * change_dis(gen)));
+            }
+        }
+
+        _target    = compute_target(shapes, data_type);
+        _reference = compute_reference(shapes, data_type);
+    }
+
+protected:
+    template <typename U>
+    void fill(U &&tensor, int i)
+    {
+        library->fill_tensor_uniform(tensor, i);
+    }
+
+    TensorType compute_target(std::vector<TensorShape> shapes, DataType data_type)
+    {
+        std::vector<TensorType>    srcs;
+        std::vector<ITensorType *> src_ptrs;
+
+        // Create tensors
+        srcs.reserve(shapes.size());
+
+        for(const auto &shape : shapes)
+        {
+            srcs.emplace_back(create_tensor<TensorType>(shape, data_type, 1, _fractional_bits));
+            src_ptrs.emplace_back(&srcs.back());
+        }
+
+        TensorShape dst_shape = misc::shape_calculator::calculate_width_concatenate_shape(src_ptrs);
+        TensorType  dst       = create_tensor<TensorType>(dst_shape, data_type, 1, _fractional_bits);
+
+        // Create and configure function
+        FunctionType width_concat;
+        width_concat.configure(src_ptrs, &dst);
+
+        for(auto &src : srcs)
+        {
+            ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        }
+
+        ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Allocate tensors
+        for(auto &src : srcs)
+        {
+            src.allocator()->allocate();
+            ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        }
+
+        dst.allocator()->allocate();
+        ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Fill tensors
+        int i = 0;
+        for(auto &src : srcs)
+        {
+            fill(AccessorType(src), i++);
+        }
+
+        // Compute function
+        width_concat.run();
+
+        return dst;
+    }
+
+    SimpleTensor<T> compute_reference(std::vector<TensorShape> shapes, DataType data_type)
+    {
+        std::vector<SimpleTensor<T>> srcs;
+
+        // Create and fill tensors
+        int i = 0;
+        for(const auto &shape : shapes)
+        {
+            srcs.emplace_back(shape, data_type, 1, _fractional_bits);
+            fill(srcs.back(), i++);
+        }
+
+        return reference::widthconcatenate_layer<T>(srcs);
+    }
+
+    TensorType      _target{};
+    SimpleTensor<T> _reference{};
+
+private:
+    int _fractional_bits{ 1 };
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_WIDTHCONCATENATE_LAYER_FIXTURE */
diff --git a/tests/validation/reference/WidthConcatenateLayer.cpp b/tests/validation/reference/WidthConcatenateLayer.cpp
new file mode 100644
index 0000000000..fe79b4a138
--- /dev/null
+++ b/tests/validation/reference/WidthConcatenateLayer.cpp
@@ -0,0 +1,93 @@
+/*
+ * 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 "WidthConcatenateLayer.h"
+
+#include "tests/validation/FixedPoint.h"
+#include "tests/validation/Helpers.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> widthconcatenate_layer(const std::vector<SimpleTensor<T>> &srcs)
+{
+    // Create reference
+    std::vector<TensorShape> shapes;
+
+    for(const auto &src : srcs)
+    {
+        shapes.emplace_back(src.shape());
+    }
+
+    DataType        dst_type  = srcs.empty() ? DataType::UNKNOWN : srcs[0].data_type();
+    TensorShape     dst_shape = calculate_width_concatenate_shape(shapes);
+    SimpleTensor<T> dst(dst_shape, dst_type);
+
+    // Compute reference
+    int       width_offset = 0;
+    const int width_out    = dst.shape().x();
+
+    // Set output tensor to 0
+    std::fill_n(dst.data(), dst.num_elements(), 0);
+
+    for(const auto &src : srcs)
+    {
+        ARM_COMPUTE_ERROR_ON(width_offset >= width_out);
+
+        const int width  = src.shape().x();
+        const int height = src.shape().y();
+        const int depth  = src.shape().z();
+
+        const T *src_ptr = src.data();
+        T       *dst_ptr = dst.data();
+
+        for(int d = 0; d < depth; ++d)
+        {
+            for(int r = 0; r < height; ++r)
+            {
+                int offset = d * height + r;
+                std::copy(src_ptr, src_ptr + width, dst_ptr + width_offset + offset * width_out);
+                src_ptr += width;
+            }
+        }
+
+        width_offset += width;
+    }
+
+    return dst;
+}
+
+template SimpleTensor<float> widthconcatenate_layer(const std::vector<SimpleTensor<float>> &srcs);
+template SimpleTensor<half> widthconcatenate_layer(const std::vector<SimpleTensor<half>> &srcs);
+template SimpleTensor<qint8_t> widthconcatenate_layer(const std::vector<SimpleTensor<qint8_t>> &srcs);
+template SimpleTensor<qint16_t> widthconcatenate_layer(const std::vector<SimpleTensor<qint16_t>> &srcs);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/reference/WidthConcatenateLayer.h b/tests/validation/reference/WidthConcatenateLayer.h
new file mode 100644
index 0000000000..237e72b947
--- /dev/null
+++ b/tests/validation/reference/WidthConcatenateLayer.h
@@ -0,0 +1,45 @@
+/*
+ * 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_WIDTHCONCATENATE_LAYER_H__
+#define __ARM_COMPUTE_TEST_WIDTHCONCATENATE_LAYER_H__
+
+#include "tests/SimpleTensor.h"
+
+#include <vector>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> widthconcatenate_layer(const std::vector<SimpleTensor<T>> &srcs);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_WIDTHCONCATENATE_LAYER_H__ */