COMPMID-2246: Implement NEBoundingBoxTransform.

Change-Id: I69faa21ccdc295f5369450a12e6e217d873349e3
Signed-off-by: Pablo Tello <pablo.tello@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1854
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>

1 files changed, 142 insertions, 0 deletions

diff --git a/tests/validation/NEON/BoundingBoxTransform.cpp b/tests/validation/NEON/BoundingBoxTransform.cpp
new file mode 100644
index 0000000000..070ea8b3ba
--- /dev/null
+++ b/tests/validation/NEON/BoundingBoxTransform.cpp
@@ -0,0 +1,142 @@
+/*
+ * Copyright (c) 2019 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/NEON/functions/NEBoundingBoxTransform.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "tests/Globals.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/datasets/ShapeDatasets.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/BoundingBoxTransformFixture.h"
+#include "utils/TypePrinter.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+RelativeTolerance<float> relative_tolerance_f32(0.01f);
+AbsoluteTolerance<float> absolute_tolerance_f32(0.001f);
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+RelativeTolerance<half>  relative_tolerance_f16(half(0.2));
+AbsoluteTolerance<float> absolute_tolerance_f16(half(0.02f));
+#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+
+// *INDENT-OFF*
+// clang-format off
+const auto BboxInfoDataset = framework::dataset::make("BboxInfo", { BoundingBoxTransformInfo(20U, 20U, 2U, true),
+                                                                    BoundingBoxTransformInfo(128U, 128U, 4U, true),
+                                                                    BoundingBoxTransformInfo(800U, 600U, 1U, false),
+                                                                    BoundingBoxTransformInfo(800U, 600U, 2U, true, { { 1.0, 0.5, 1.5, 2.0 } }),
+                                                                    BoundingBoxTransformInfo(800U, 600U, 4U, false, { { 1.0, 0.5, 1.5, 2.0 } }),
+                                                                    BoundingBoxTransformInfo(800U, 600U, 4U, false, { { 1.0, 0.5, 1.5, 2.0 } }, true)
+                                                                  });
+
+const auto DeltaDataset = framework::dataset::make("DeltasShape", { TensorShape(36U, 1U),
+                                                                    TensorShape(36U, 2U),
+                                                                    TensorShape(36U, 2U),
+                                                                    TensorShape(40U, 1U),
+                                                                    TensorShape(40U, 20U),
+                                                                    TensorShape(40U, 100U),
+                                                                    TensorShape(40U, 200U)
+                                                                  });
+// clang-format on
+// *INDENT-ON*
+} // namespace
+
+TEST_SUITE(NEON)
+TEST_SUITE(BBoxTransform)
+
+// *INDENT-OFF*
+// clang-format off
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
+               framework::dataset::make("BoxesInfo", { TensorInfo(TensorShape(4U, 128U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(5U, 128U), 1, DataType::F32), // Wrong number of box fields
+                                                       TensorInfo(TensorShape(4U, 128U), 1, DataType::F16), // Wrong data type
+                                                       TensorInfo(TensorShape(4U, 128U), 1, DataType::F32), // Wrong number of classes
+                                                       TensorInfo(TensorShape(4U, 128U), 1, DataType::F32),  // Deltas and predicted boxes have different dimensions
+                                                       TensorInfo(TensorShape(4U, 128U), 1, DataType::F32)}),  // Scaling is zero
+               framework::dataset::make("PredBoxesInfo",{ TensorInfo(TensorShape(128U, 128U), 1, DataType::F32),
+                                                          TensorInfo(TensorShape(128U, 128U), 1, DataType::F32),
+                                                          TensorInfo(TensorShape(127U, 128U), 1, DataType::F32),
+                                                          TensorInfo(TensorShape(128U, 100U), 1, DataType::F32),
+                                                          TensorInfo(TensorShape(128U, 100U), 1, DataType::F32),
+                                                          TensorInfo(TensorShape(128U, 128U), 1, DataType::F32)})),
+               framework::dataset::make("DeltasInfo", { TensorInfo(TensorShape(128U, 128U), 1, DataType::F32),
+                                                        TensorInfo(TensorShape(128U, 128U), 1, DataType::F32),
+                                                        TensorInfo(TensorShape(127U, 128U), 1, DataType::F32),
+                                                        TensorInfo(TensorShape(128U, 100U), 1, DataType::F32),
+                                                        TensorInfo(TensorShape(128U, 128U), 1, DataType::F32),
+                                                        TensorInfo(TensorShape(128U, 128U), 1, DataType::F32)})),
+               framework::dataset::make("BoundingBoxTransofmInfo", { BoundingBoxTransformInfo(800.f, 600.f, 1.f),
+                                                                     BoundingBoxTransformInfo(800.f, 600.f, 1.f),
+                                                                     BoundingBoxTransformInfo(800.f, 600.f, 1.f),
+                                                                     BoundingBoxTransformInfo(800.f, 600.f, 1.f),
+                                                                     BoundingBoxTransformInfo(800.f, 600.f, 0.f)})),
+               framework::dataset::make("Expected", { true, false, false, false, false, false})),
+               boxes_info, pred_boxes_info, deltas_info, bbox_info, expected)
+{
+    ARM_COMPUTE_EXPECT(bool(NEBoundingBoxTransform::validate(&boxes_info.clone()->set_is_resizable(true), &pred_boxes_info.clone()->set_is_resizable(true), &deltas_info.clone()->set_is_resizable(true), bbox_info)) == expected, framework::LogLevel::ERRORS);
+}
+// clang-format on
+// *INDENT-ON*
+
+template <typename T>
+using NEBoundingBoxTransformFixture = BoundingBoxTransformFixture<Tensor, Accessor, NEBoundingBoxTransform, T>;
+
+TEST_SUITE(Float)
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(BoundingBox, NEBoundingBoxTransformFixture<float>, framework::DatasetMode::ALL,
+                       combine(combine(DeltaDataset, BboxInfoDataset), framework::dataset::make("DataType", { DataType::F32 })))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, relative_tolerance_f32, 0.f, absolute_tolerance_f32);
+}
+TEST_SUITE_END() // FP32
+
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(BoundingBox, NEBoundingBoxTransformFixture<half>, framework::DatasetMode::ALL,
+                       combine(combine(DeltaDataset, BboxInfoDataset), framework::dataset::make("DataType", { DataType::F16 })))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, relative_tolerance_f16, 0.03f, absolute_tolerance_f16);
+}
+TEST_SUITE_END() // FP16
+#endif           // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+
+TEST_SUITE_END() // Float
+
+TEST_SUITE_END() // BBoxTransform
+TEST_SUITE_END() // NEON
+} // namespace validation
+} // namespace test
+} // namespace arm_compute