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, 247 insertions, 0 deletions

diff --git a/tests/validation/CL/ActivationLayer.cpp b/tests/validation/CL/ActivationLayer.cpp
new file mode 100644
index 0000000000..097fb638f9
--- /dev/null
+++ b/tests/validation/CL/ActivationLayer.cpp
@@ -0,0 +1,247 @@
+/*
+ * 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.
+ */
+#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/CLActivationLayer.h"
+#include "tests/CL/CLAccessor.h"
+#include "tests/PaddingCalculator.h"
+#include "tests/datasets/ActivationFunctionsDataset.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/ActivationLayerFixture.h"
+#include "tests/validation/half.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+/** Define tolerance of the activation layer.
+ *
+ * @param[in] activation The activation function used.
+ * @param[in] data_type  Data type.
+ *
+ * @return Tolerance depending on the activation function.
+ */
+AbsoluteTolerance<float> tolerance(ActivationLayerInfo::ActivationFunction activation, DataType data_type)
+{
+    constexpr float epsilon = 1e-6f;
+
+    switch(activation)
+    {
+        case ActivationLayerInfo::ActivationFunction::LINEAR:
+            return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.2f : epsilon);
+        case ActivationLayerInfo::ActivationFunction::SQUARE:
+            return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.1f : epsilon);
+        case ActivationLayerInfo::ActivationFunction::LOGISTIC:
+            if(is_data_type_fixed_point(data_type))
+            {
+                return AbsoluteTolerance<float>(5.f);
+            }
+            else
+            {
+                return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.001f : epsilon);
+            }
+        case ActivationLayerInfo::ActivationFunction::LEAKY_RELU:
+            return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.00001f : epsilon);
+        case ActivationLayerInfo::ActivationFunction::SOFT_RELU:
+        case ActivationLayerInfo::ActivationFunction::SQRT:
+            if(is_data_type_fixed_point(data_type))
+            {
+                return AbsoluteTolerance<float>(5.f);
+            }
+            else
+            {
+                return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.01f : 0.00001f);
+            }
+        case ActivationLayerInfo::ActivationFunction::TANH:
+            if(is_data_type_fixed_point(data_type))
+            {
+                return AbsoluteTolerance<float>(5.f);
+            }
+            else
+            {
+                return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.001f : 0.00001f);
+            }
+        default:
+            return AbsoluteTolerance<float>(epsilon);
+    }
+}
+
+/** CNN data types */
+const auto CNNDataTypes = framework::dataset::make("DataType",
+{
+    DataType::F16,
+    DataType::F32,
+    DataType::QS8,
+    DataType::QS16,
+});
+
+/** Input data sets. */
+const auto ActivationDataset = combine(combine(framework::dataset::make("InPlace", { false, true }), datasets::ActivationFunctions()), framework::dataset::make("AlphaBeta", { 0.5f, 1.f }));
+} // namespace
+
+TEST_SUITE(CL)
+TEST_SUITE(ActivationLayer)
+
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), CNNDataTypes), framework::dataset::make("InPlace", { false, true })),
+               shape, data_type, in_place)
+{
+    // Set fixed point position data type allowed
+    const int fixed_point_position = is_data_type_fixed_point(data_type) ? 3 : 0;
+
+    // Create tensors
+    CLTensor src = create_tensor<CLTensor>(shape, data_type, 1, fixed_point_position);
+    CLTensor dst = create_tensor<CLTensor>(shape, data_type, 1, fixed_point_position);
+
+    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+    ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+    // Create and configure function
+    CLActivationLayer act_layer;
+
+    if(in_place)
+    {
+        act_layer.configure(&src, nullptr, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::ABS));
+    }
+    else
+    {
+        act_layer.configure(&src, &dst, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::ABS));
+    }
+
+    // Validate valid region
+    const ValidRegion valid_region = shape_to_valid_region(shape);
+    validate(src.info()->valid_region(), valid_region);
+
+    if(!in_place)
+    {
+        validate(dst.info()->valid_region(), valid_region);
+    }
+
+    // Validate padding
+    const int         step    = 16 / arm_compute::data_size_from_type(data_type);
+    const PaddingSize padding = PaddingCalculator(shape.x(), step).required_padding();
+    validate(src.info()->padding(), padding);
+
+    if(!in_place)
+    {
+        validate(dst.info()->padding(), padding);
+    }
+}
+
+template <typename T>
+using CLActivationLayerFixture = ActivationValidationFixture<CLTensor, CLAccessor, CLActivationLayer, T>;
+
+TEST_SUITE(Float)
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerFixture<half_float::half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset),
+                                                                                                                        framework::dataset::make("DataType",
+                                                                                                                                DataType::F16)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance(_function, _data_type));
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLActivationLayerFixture<half_float::half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset),
+                                                                                                                      framework::dataset::make("DataType",
+                                                                                                                              DataType::F16)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance(_function, _data_type));
+}
+TEST_SUITE_END()
+
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make("DataType",
+                                                                                                             DataType::F32)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance(_function, _data_type));
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLActivationLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make("DataType",
+                                                                                                           DataType::F32)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance(_function, _data_type));
+}
+TEST_SUITE_END()
+TEST_SUITE_END()
+
+template <typename T>
+using CLActivationLayerFixedPointFixture = ActivationValidationFixedPointFixture<CLTensor, CLAccessor, CLActivationLayer, T>;
+
+TEST_SUITE(Quantized)
+TEST_SUITE(QS8)
+// We test for fixed point precision [3,5] because [1,2] and [6,7] ranges cause
+// overflowing issues in most of the transcendentals functions.
+FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerFixedPointFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), ActivationDataset),
+                                                                                                                        framework::dataset::make("DataType",
+                                                                                                                                DataType::QS8)),
+                                                                                                                        framework::dataset::make("FractionalBits", 3, 6)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance(_function, _data_type));
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLActivationLayerFixedPointFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), ActivationDataset),
+                                                                                                                      framework::dataset::make("DataType",
+                                                                                                                              DataType::QS8)),
+                                                                                                                      framework::dataset::make("FractionalBits", 3, 6)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance(_function, _data_type));
+}
+TEST_SUITE_END()
+
+TEST_SUITE(QS16)
+// Testing for fixed point position [1,14) as reciprocal limits the maximum fixed point position to 14
+FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerFixedPointFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), ActivationDataset),
+                       framework::dataset::make("DataType",
+                                                DataType::QS16)),
+                       framework::dataset::make("FractionalBits", 1, 14)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance(_function, _data_type));
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLActivationLayerFixedPointFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), ActivationDataset),
+                                                                                                                       framework::dataset::make("DataType",
+                                                                                                                               DataType::QS16)),
+                                                                                                                       framework::dataset::make("FractionalBits", 1, 14)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance(_function, _data_type));
+}
+TEST_SUITE_END()
+TEST_SUITE_END()
+
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace validation
+} // namespace test
+} // namespace arm_compute