COMPMID-1734: Implement CLSelect

Change-Id: I49b2e8b4200c9ed654736d9451e4ab9c073b4b10

4 files changed, 537 insertions, 0 deletions

diff --git a/tests/validation/CL/Select.cpp b/tests/validation/CL/Select.cpp
new file mode 100644
index 0000000000..e3159caa93
--- /dev/null
+++ b/tests/validation/CL/Select.cpp
@@ -0,0 +1,262 @@
+/*
+ * 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/CLSelect.h"
+#include "tests/CL/CLAccessor.h"
+#include "tests/PaddingCalculator.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/SelectFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+auto configuration_dataset = combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()),
+                                     framework::dataset::make("has_same_rank", { false, true }));
+auto run_small_dataset = combine(datasets::SmallShapes(), framework::dataset::make("has_same_rank", { false, true }));
+auto run_large_dataset = combine(datasets::LargeShapes(), framework::dataset::make("has_same_rank", { false, true }));
+
+} // namespace
+TEST_SUITE(CL)
+TEST_SUITE(Select)
+
+// *INDENT-OFF*
+// clang-format off
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
+        framework::dataset::make("CInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), // Invalid condition datatype
+                                            TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Invalid output datatype
+                                            TensorInfo(TensorShape(13U), 1, DataType::U8),          // Invalid c shape
+                                            TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Mismatching shapes
+                                            TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
+                                            TensorInfo(TensorShape(2U), 1, DataType::U8),
+        }),
+        framework::dataset::make("XInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
+                                           TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
+                                           TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
+                                           TensorInfo(TensorShape(32U, 10U, 2U), 1, DataType::F32),
+                                           TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
+                                           TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
+        })),
+        framework::dataset::make("YInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
+                                           TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
+                                           TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
+                                           TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
+                                           TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
+                                           TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
+        })),
+        framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
+                                                TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8),
+                                                TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
+                                                TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
+                                                TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
+                                                TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
+        })),
+        framework::dataset::make("Expected", { false, false, false, false, true, true})),
+        c_info, x_info, y_info, output_info, expected)
+{
+    Status s = CLSelect::validate(&c_info.clone()->set_is_resizable(false),
+                                  &x_info.clone()->set_is_resizable(false),
+                                  &y_info.clone()->set_is_resizable(false),
+                                  &output_info.clone()->set_is_resizable(false));
+    ARM_COMPUTE_EXPECT(bool(s) == expected, framework::LogLevel::ERRORS);
+}
+// clang-format on
+// *INDENT-ON*
+
+template <typename T>
+using CLSelectFixture = SelectValidationFixture<CLTensor, CLAccessor, CLSelect, T>;
+
+TEST_SUITE(Float)
+TEST_SUITE(F16)
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, configuration_dataset,
+               shape, same_rank)
+{
+    const DataType dt = DataType::F16;
+
+    // Create tensors
+    CLTensor ref_c = create_tensor<CLTensor>(detail::select_condition_shape(shape, same_rank), DataType::U8);
+    CLTensor ref_x = create_tensor<CLTensor>(shape, dt);
+    CLTensor ref_y = create_tensor<CLTensor>(shape, dt);
+    CLTensor dst   = create_tensor<CLTensor>(shape, dt);
+
+    // Create and Configure function
+    CLSelect select;
+    select.configure(&ref_c, &ref_x, &ref_y, &dst);
+
+    // Validate valid region
+    const ValidRegion valid_region = shape_to_valid_region(shape);
+    validate(dst.info()->valid_region(), valid_region);
+
+    // Validate padding
+    const int         step    = 16 / arm_compute::data_size_from_type(dt);
+    const PaddingSize padding = PaddingCalculator(shape.x(), step).required_padding();
+    if(same_rank)
+    {
+        validate(ref_c.info()->padding(), padding);
+    }
+    validate(ref_x.info()->padding(), padding);
+    validate(ref_y.info()->padding(), padding);
+    validate(dst.info()->padding(), padding);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall,
+                       CLSelectFixture<half>,
+                       framework::DatasetMode::PRECOMMIT,
+                       combine(run_small_dataset, framework::dataset::make("DataType", DataType::F16)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge,
+                       CLSelectFixture<half>,
+                       framework::DatasetMode::NIGHTLY,
+                       combine(run_large_dataset, framework::dataset::make("DataType", DataType::F16)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END() // F16
+
+TEST_SUITE(FP32)
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, configuration_dataset,
+               shape, same_rank)
+{
+    const DataType dt = DataType::F32;
+
+    // Create tensors
+    CLTensor ref_c = create_tensor<CLTensor>(detail::select_condition_shape(shape, same_rank), DataType::U8);
+    CLTensor ref_x = create_tensor<CLTensor>(shape, dt);
+    CLTensor ref_y = create_tensor<CLTensor>(shape, dt);
+    CLTensor dst   = create_tensor<CLTensor>(shape, dt);
+
+    // Create and Configure function
+    CLSelect select;
+    select.configure(&ref_c, &ref_x, &ref_y, &dst);
+
+    // Validate valid region
+    const ValidRegion valid_region = shape_to_valid_region(shape);
+    validate(dst.info()->valid_region(), valid_region);
+
+    // Validate padding
+    const int         step    = 16 / arm_compute::data_size_from_type(dt);
+    const PaddingSize padding = PaddingCalculator(shape.x(), step).required_padding();
+    if(same_rank)
+    {
+        validate(ref_c.info()->padding(), padding);
+    }
+    validate(ref_x.info()->padding(), padding);
+    validate(ref_y.info()->padding(), padding);
+    validate(dst.info()->padding(), padding);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall,
+                       CLSelectFixture<float>,
+                       framework::DatasetMode::PRECOMMIT,
+                       combine(run_small_dataset, framework::dataset::make("DataType", DataType::F32)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge,
+                       CLSelectFixture<float>,
+                       framework::DatasetMode::NIGHTLY,
+                       combine(run_large_dataset, framework::dataset::make("DataType", DataType::F32)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END() // F32
+TEST_SUITE_END() // Float
+
+TEST_SUITE(Quantized)
+TEST_SUITE(QASYMM8)
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, configuration_dataset,
+               shape, same_rank)
+{
+    const DataType dt = DataType::QASYMM8;
+
+    // Create tensors
+    CLTensor ref_c = create_tensor<CLTensor>(detail::select_condition_shape(shape, same_rank), DataType::U8);
+    CLTensor ref_x = create_tensor<CLTensor>(shape, dt);
+    CLTensor ref_y = create_tensor<CLTensor>(shape, dt);
+    CLTensor dst   = create_tensor<CLTensor>(shape, dt);
+
+    // Create and Configure function
+    CLSelect select;
+    select.configure(&ref_c, &ref_x, &ref_y, &dst);
+
+    // Validate valid region
+    const ValidRegion valid_region = shape_to_valid_region(shape);
+    validate(dst.info()->valid_region(), valid_region);
+
+    // Validate padding
+    const int         step    = 16 / arm_compute::data_size_from_type(dt);
+    const PaddingSize padding = PaddingCalculator(shape.x(), step).required_padding();
+    if(same_rank)
+    {
+        validate(ref_c.info()->padding(), padding);
+    }
+    validate(ref_x.info()->padding(), padding);
+    validate(ref_y.info()->padding(), padding);
+    validate(dst.info()->padding(), padding);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall,
+                       CLSelectFixture<uint8_t>,
+                       framework::DatasetMode::PRECOMMIT,
+                       combine(run_small_dataset, framework::dataset::make("DataType", DataType::QASYMM8)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge,
+                       CLSelectFixture<uint8_t>,
+                       framework::DatasetMode::NIGHTLY,
+                       combine(run_large_dataset, framework::dataset::make("DataType", DataType::QASYMM8)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END() // QASYMM8
+TEST_SUITE_END() // Quantized
+
+TEST_SUITE_END() // Select
+TEST_SUITE_END() // CL
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
\ No newline at end of file
diff --git a/tests/validation/fixtures/SelectFixture.h b/tests/validation/fixtures/SelectFixture.h
new file mode 100644
index 0000000000..2ddc97a6cf
--- /dev/null
+++ b/tests/validation/fixtures/SelectFixture.h
@@ -0,0 +1,148 @@
+/*
+ * 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_SELECT_FIXTURE
+#define ARM_COMPUTE_TEST_SELECT_FIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.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/reference/Select.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace detail
+{
+/** Get the expected shape of the condition tensor
+ *
+ * @param shape               Shape of the other input tensor to select
+ * @param has_same_same_rank  Boolean that flags if the condition has the same rank with the other tensors
+ *
+ * @return the expected condition shape
+ */
+inline TensorShape select_condition_shape(TensorShape shape, bool has_same_same_rank)
+{
+    TensorShape condition_shape = shape;
+    if(!has_same_same_rank)
+    {
+        condition_shape = TensorShape(shape[shape.num_dimensions() - 1]);
+    }
+    return condition_shape;
+}
+} // namespace detail
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class SelectValidationFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, bool has_same_same_rank, DataType data_type)
+    {
+        TensorShape condition_shape = detail::select_condition_shape(shape, has_same_same_rank);
+
+        _target    = compute_target(shape, condition_shape, data_type);
+        _reference = compute_reference(shape, condition_shape, data_type);
+    }
+
+protected:
+    template <typename U>
+    void fill(U &&tensor, int i)
+    {
+        library->fill_tensor_uniform(tensor, i);
+    }
+    template <typename U>
+    void fill_bool(U &&tensor, int i)
+    {
+        ARM_COMPUTE_ERROR_ON(tensor.data_type() != DataType::U8);
+        library->fill_tensor_uniform(tensor, i, static_cast<uint8_t>(0), static_cast<uint8_t>(1));
+    }
+
+    TensorType compute_target(const TensorShape &shape, const TensorShape &condition_shape, DataType data_type)
+    {
+        // Create tensors
+        TensorType c_t   = create_tensor<TensorType>(condition_shape, DataType::U8);
+        TensorType x_t   = create_tensor<TensorType>(shape, data_type);
+        TensorType y_t   = create_tensor<TensorType>(shape, data_type);
+        TensorType dst_t = create_tensor<TensorType>(shape, data_type);
+
+        // Create and configure function
+        FunctionType select;
+        select.configure(&c_t, &x_t, &y_t, &dst_t);
+
+        ARM_COMPUTE_EXPECT(c_t.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(x_t.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(y_t.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(dst_t.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Allocate tensors
+        c_t.allocator()->allocate();
+        x_t.allocator()->allocate();
+        y_t.allocator()->allocate();
+        dst_t.allocator()->allocate();
+
+        ARM_COMPUTE_EXPECT(!c_t.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!x_t.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!y_t.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!dst_t.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Fill tensors
+        fill_bool(AccessorType(c_t), 0);
+        fill(AccessorType(x_t), 1);
+        fill(AccessorType(y_t), 2);
+
+        // Compute function
+        select.run();
+
+        return dst_t;
+    }
+
+    SimpleTensor<T> compute_reference(const TensorShape &shape, const TensorShape &condition_shape, DataType data_type)
+    {
+        // Create reference
+        SimpleTensor<uint8_t> ref_c{ condition_shape, DataType::U8 };
+        SimpleTensor<T>       ref_x{ shape, data_type };
+        SimpleTensor<T>       ref_y{ shape, data_type };
+
+        // Fill reference
+        fill_bool(ref_c, 0);
+        fill(ref_x, 1);
+        fill(ref_y, 2);
+
+        return reference::select<T>(ref_c, ref_x, ref_y);
+    }
+
+    TensorType      _target{};
+    SimpleTensor<T> _reference{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_SELECT_FIXTURE */
diff --git a/tests/validation/reference/Select.cpp b/tests/validation/reference/Select.cpp
new file mode 100644
index 0000000000..91b6b66c42
--- /dev/null
+++ b/tests/validation/reference/Select.cpp
@@ -0,0 +1,84 @@
+/*
+ * 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 "Select.h"
+
+#include "arm_compute/core/Types.h"
+#include "tests/validation/Helpers.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> select(const SimpleTensor<uint8_t> &c, const SimpleTensor<T> &x, const SimpleTensor<T> &y)
+{
+    // Check if condition has the same rank as c
+    const bool is_same_rank = (c.shape().num_dimensions() == x.shape().num_dimensions());
+
+    // Check shapes
+    ARM_COMPUTE_ERROR_ON(x.shape() != y.shape());
+    ARM_COMPUTE_ERROR_ON(is_same_rank && (x.shape() != c.shape()));
+    ARM_COMPUTE_ERROR_ON(!is_same_rank && (c.shape().num_dimensions() > 1) && (c.shape().x() != x.shape()[x.shape().num_dimensions() - 1]));
+
+    // Create reference
+    SimpleTensor<T> dst{ x.shape(), x.data_type(), 1 };
+
+    // Run select core
+    if(is_same_rank)
+    {
+        for(int i = 0; i < x.num_elements(); ++i)
+        {
+            dst[i] = c[i] > 0 ? x[i] : y[i];
+        }
+    }
+    else
+    {
+        T *output_ptr = dst.data();
+
+        const int outer_size = c.num_elements();
+        const int inner_size = x.num_elements() / outer_size;
+        size_t    offset     = 0;
+
+        for(int i = 0; i < outer_size; ++i)
+        {
+            const T *input_ptr = c[i] > 0 ? x.data() : y.data();
+            memcpy(output_ptr + offset, input_ptr + offset, inner_size * sizeof(T));
+            offset += inner_size;
+        }
+    }
+
+    return dst;
+}
+
+template SimpleTensor<uint8_t> select(const SimpleTensor<uint8_t> &c, const SimpleTensor<uint8_t> &x, const SimpleTensor<uint8_t> &y);
+template SimpleTensor<half> select(const SimpleTensor<uint8_t> &c, const SimpleTensor<half> &x, const SimpleTensor<half> &y);
+template SimpleTensor<float> select(const SimpleTensor<uint8_t> &c, const SimpleTensor<float> &x, const SimpleTensor<float> &y);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/reference/Select.h b/tests/validation/reference/Select.h
new file mode 100644
index 0000000000..394f36748d
--- /dev/null
+++ b/tests/validation/reference/Select.h
@@ -0,0 +1,43 @@
+/*
+ * 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_SELECT_H__
+#define __ARM_COMPUTE_TEST_SELECT_H__
+
+#include "tests/SimpleTensor.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> select(const SimpleTensor<uint8_t> &c, const SimpleTensor<T> &x, const SimpleTensor<T> &y);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_SELECT_H__ */