COMPMID-2386: Add support for CLMeanStdNormalizationLayer

Change-Id: I0323b2410b222fd08933da22de455e798a60a0b1
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1297
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 120 insertions, 0 deletions

diff --git a/tests/validation/CL/MeanStdDevNormalizationLayer.cpp b/tests/validation/CL/MeanStdDevNormalizationLayer.cpp
new file mode 100644
index 0000000000..714f100709
--- /dev/null
+++ b/tests/validation/CL/MeanStdDevNormalizationLayer.cpp
@@ -0,0 +1,120 @@
+/*
+ * 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/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/CLTensorAllocator.h"
+#include "arm_compute/runtime/CL/functions/CLMeanStdDevNormalizationLayer.h"
+#include "tests/CL/CLAccessor.h"
+#include "tests/PaddingCalculator.h"
+#include "tests/datasets/NormalizationTypesDataset.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/MeanStdDevNormalizationLayerFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+/** Tolerance for float operations */
+RelativeTolerance<half>  tolerance_f16(half(0.2f));
+RelativeTolerance<float> tolerance_f32(1e-8f);
+} // namespace
+
+TEST_SUITE(CL)
+TEST_SUITE(MeanStdDevNormalizationLayer)
+
+// *INDENT-OFF*
+// clang-format off
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
+               framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Mismatching data type input/output
+                                                       TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Mismatching shapes
+                                                       TensorInfo(TensorShape(32U, 13U), 1, DataType::F32),
+                                                     }),
+               framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U), 1, DataType::F16),
+                                                       TensorInfo(TensorShape(27U, 11U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(32U, 13U), 1, DataType::F32),
+                                                     })),
+               framework::dataset::make("Expected", { false, false, true })),
+               input_info, output_info, expected)
+{
+    ARM_COMPUTE_EXPECT(bool(CLMeanStdDevNormalizationLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS);
+}
+// clang-format on
+// *INDENT-ON*
+
+template <typename T>
+using CLMeanStdDevNormalizationLayerFixture = MeanStdDevNormalizationLayerValidationFixture<CLTensor, CLAccessor, CLMeanStdDevNormalizationLayer, T>;
+
+TEST_SUITE(Float)
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLMeanStdDevNormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(),
+                       framework::dataset::make("DataType", DataType::F16)),
+                       framework::dataset::make("InPlace", { false, true })),
+                       framework::dataset::make("Epsilon", { 1e-8 })))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance_f16);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLMeanStdDevNormalizationLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(),
+                                                                                                                       framework::dataset::make("DataType", DataType::F16)),
+                                                                                                                       framework::dataset::make("InPlace", { false, true })),
+                                                                                                                       framework::dataset::make("Epsilon", { 1e-8 })))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance_f16);
+}
+TEST_SUITE_END() // FP16
+
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLMeanStdDevNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(),
+                       framework::dataset::make("DataType", DataType::F32)),
+                       framework::dataset::make("InPlace", { false, true })),
+                       framework::dataset::make("Epsilon", { 1e-8 })))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance_f32);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLMeanStdDevNormalizationLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(),
+                                                                                                                        framework::dataset::make("DataType", DataType::F32)),
+                                                                                                                        framework::dataset::make("InPlace", { false, true })),
+                                                                                                                        framework::dataset::make("Epsilon", { 1e-8 })))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance_f32);
+}
+TEST_SUITE_END() // FP32
+TEST_SUITE_END() // Float
+
+TEST_SUITE_END() // MeanStdNormalizationLayer
+TEST_SUITE_END() // CL
+} // namespace validation
+} // namespace test
+} // namespace arm_compute