COMPMID-494: Port BatchNormalizationLayer to new validation

Change-Id: Ief5334dd1cf571d977acf4ce9e5f580c5c9ab433
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/88158
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Pablo Tello <pablo.tello@arm.com>

1 files changed, 133 insertions, 0 deletions

diff --git a/tests/validation/NEON/BatchNormalizationLayer.cpp b/tests/validation/NEON/BatchNormalizationLayer.cpp
new file mode 100644
index 0000000000..9ca26ebdaa
--- /dev/null
+++ b/tests/validation/NEON/BatchNormalizationLayer.cpp
@@ -0,0 +1,133 @@
+/*
+ * 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/NEON/functions/NEBatchNormalizationLayer.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/PaddingCalculator.h"
+#include "tests/datasets/RandomBatchNormalizationLayerDataset.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/BatchNormalizationLayerFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+constexpr AbsoluteTolerance<float> tolerance_f32(0.00001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
+#ifdef ARM_COMPUTE_ENABLE_FP16
+constexpr AbsoluteTolerance<float> tolerance_f16(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */
+#endif                                                   /* ARM_COMPUTE_ENABLE_FP16 */
+constexpr AbsoluteTolerance<float> tolerance_qs8(3.0f);  /**< Tolerance value for comparing reference's output against implementation's output for DataType::QS8 */
+constexpr AbsoluteTolerance<float> tolerance_qs16(6.0f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::QS16 */
+} // namespace
+
+TEST_SUITE(NEON)
+TEST_SUITE(BatchNormalizationLayer)
+
+template <typename T>
+using NEBatchNormalizationLayerFixture = BatchNormalizationLayerValidationFixture<Tensor, Accessor, NEBatchNormalizationLayer, T>;
+
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::RandomBatchNormalizationLayerDataset(), framework::dataset::make("DataType", { DataType::QS8, DataType::QS16, DataType::F32 })),
+               shape0, shape1, epsilon, dt)
+{
+    // Set fixed point position data type allowed
+    int fixed_point_position = (arm_compute::is_data_type_fixed_point(dt)) ? 3 : 0;
+
+    // Create tensors
+    Tensor src   = create_tensor<Tensor>(shape0, dt, 1, fixed_point_position);
+    Tensor dst   = create_tensor<Tensor>(shape0, dt, 1, fixed_point_position);
+    Tensor mean  = create_tensor<Tensor>(shape1, dt, 1, fixed_point_position);
+    Tensor var   = create_tensor<Tensor>(shape1, dt, 1, fixed_point_position);
+    Tensor beta  = create_tensor<Tensor>(shape1, dt, 1, fixed_point_position);
+    Tensor gamma = create_tensor<Tensor>(shape1, dt, 1, fixed_point_position);
+
+    // Create and Configure function
+    NEBatchNormalizationLayer norm;
+    norm.configure(&src, &dst, &mean, &var, &beta, &gamma, epsilon);
+
+    // Validate valid region
+    const ValidRegion valid_region = shape_to_valid_region(shape0);
+    validate(dst.info()->valid_region(), valid_region);
+}
+
+TEST_SUITE(Float)
+FIXTURE_DATA_TEST_CASE(Random, NEBatchNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::RandomBatchNormalizationLayerDataset(),
+                                                                                                                   framework::dataset::make("DataType", DataType::F32)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_f32, 0);
+}
+TEST_SUITE_END()
+
+#ifdef ARM_COMPUTE_ENABLE_FP16
+TEST_SUITE(Float16)
+FIXTURE_DATA_TEST_CASE(Random, NEBatchNormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(datasets::RandomBatchNormalizationLayerDataset(),
+                                                                                                                  framework::dataset::make("DataType", DataType::F16)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_f16, 0);
+}
+TEST_SUITE_END()
+#endif /* ARM_COMPUTE_ENABLE_FP16 */
+
+TEST_SUITE(Quantized)
+template <typename T>
+using NEBatchNormalizationLayerFixedPointFixture = BatchNormalizationLayerValidationFixedPointFixture<Tensor, Accessor, NEBatchNormalizationLayer, T>;
+
+TEST_SUITE(QS8)
+FIXTURE_DATA_TEST_CASE(Random, NEBatchNormalizationLayerFixedPointFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::RandomBatchNormalizationLayerDataset(),
+                       framework::dataset::make("DataType", DataType::QS8)),
+                       framework::dataset::make("FractionalBits", 1, 6)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_qs8, 0);
+}
+TEST_SUITE_END()
+
+TEST_SUITE(QS16)
+FIXTURE_DATA_TEST_CASE(Random, NEBatchNormalizationLayerFixedPointFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::RandomBatchNormalizationLayerDataset(),
+                       framework::dataset::make("DataType", DataType::QS16)),
+                       framework::dataset::make("FractionalBits", 1, 14)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_qs16, 0);
+}
+TEST_SUITE_END()
+
+TEST_SUITE_END()
+
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace validation
+} // namespace test
+} // namespace arm_compute