COMPMID-1539 Implement YOLOLayer on CL

Change-Id: I332c0703e1399fca0c5b724529b54a28f49c88da
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/146842
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>

2 files changed, 128 insertions, 8 deletions

diff --git a/tests/validation/CL/ActivationLayer.cpp b/tests/validation/CL/ActivationLayer.cpp
index d91f7082b4..8a6d5ad88a 100644
--- a/tests/validation/CL/ActivationLayer.cpp
+++ b/tests/validation/CL/ActivationLayer.cpp
@@ -202,14 +202,7 @@ TEST_SUITE_END()
 template <typename T>
 using CLActivationLayerQuantizedFixture = ActivationValidationQuantizedFixture<CLTensor, CLAccessor, CLActivationLayer, T>;
 
-/** Input data sets. */
-const auto QuantizedActivationFunctionsDataset = framework::dataset::make("ActivationFunction", { ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU,
-                                                                                                  ActivationLayerInfo::ActivationFunction::RELU,
-                                                                                                  ActivationLayerInfo::ActivationFunction::LOGISTIC,
-                                                                                                  ActivationLayerInfo::ActivationFunction::BOUNDED_RELU
-                                                                                                });
-
-const auto QuantizedActivationDataset = combine(combine(framework::dataset::make("InPlace", { false, true }), QuantizedActivationFunctionsDataset),
+const auto QuantizedActivationDataset = combine(combine(framework::dataset::make("InPlace", { false, true }), datasets::ActivationFunctionsQuantized()),
                                                 framework::dataset::make("AlphaBeta", { 0.5f, 1.f }));
 
 TEST_SUITE(Quantized)
diff --git a/tests/validation/CL/YOLOLayer.cpp b/tests/validation/CL/YOLOLayer.cpp
new file mode 100644
index 0000000000..d8e6e54246
--- /dev/null
+++ b/tests/validation/CL/YOLOLayer.cpp
@@ -0,0 +1,127 @@
+/*
+ * 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/CLYOLOLayer.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/YOLOLayerFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+/** Define tolerance of the yolo 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:
+            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:
+            return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.01f : 0.00001f);
+        case ActivationLayerInfo::ActivationFunction::TANH:
+            return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.001f : 0.00001f);
+        default:
+            return AbsoluteTolerance<float>(epsilon);
+    }
+}
+
+/** Floating point data sets. */
+const auto YOLODataset = combine(combine(combine(combine(framework::dataset::make("InPlace", { false, true }), datasets::ActivationFunctions()),
+                                                 framework::dataset::make("AlphaBeta", { 0.5f, 1.f })),
+                                         framework::dataset::make("Classes", 40)),
+                                 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }));
+} // namespace
+
+TEST_SUITE(CL)
+TEST_SUITE(YOLOLayer)
+
+template <typename T>
+using CLYOLOLayerFixture = YOLOValidationFixture<CLTensor, CLAccessor, CLYOLOLayer, T>;
+
+TEST_SUITE(Float)
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLYOLOLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make("DataType",
+                                                                                                       DataType::F32)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance(_function, _data_type));
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge, CLYOLOLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make("DataType",
+                                                                                                     DataType::F32)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance(_function, _data_type));
+}
+TEST_SUITE_END() // FP32
+
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLYOLOLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make("DataType",
+                                                                                                      DataType::F16)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance(_function, _data_type));
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLYOLOLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make("DataType",
+                                                                                                    DataType::F16)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance(_function, _data_type));
+}
+TEST_SUITE_END() // FP16
+TEST_SUITE_END() // Float
+
+TEST_SUITE_END() // YOLOLayer
+TEST_SUITE_END() // CL
+} // namespace validation
+} // namespace test
+} // namespace arm_compute