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diff --git a/tests/validation/GLES_COMPUTE/BatchNormalizationLayer.cpp b/tests/validation/GLES_COMPUTE/BatchNormalizationLayer.cpp
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--- a/tests/validation/GLES_COMPUTE/BatchNormalizationLayer.cpp
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-/*
- * Copyright (c) 2017-2019 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/GLES_COMPUTE/GCTensor.h"
-#include "arm_compute/runtime/GLES_COMPUTE/GCTensorAllocator.h"
-#include "arm_compute/runtime/GLES_COMPUTE/functions/GCBatchNormalizationLayer.h"
-#include "tests/GLES_COMPUTE/GCAccessor.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/Helpers.h"
-#include "tests/validation/Validation.h"
-#include "tests/validation/fixtures/BatchNormalizationLayerFixture.h"
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-namespace
-{
-constexpr AbsoluteTolerance<float> tolerance_f(0.00001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
-constexpr AbsoluteTolerance<float> tolerance_f16(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */
-const auto act_infos = framework::dataset::make("ActivationInfo",
-{
- ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
- ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f),
- ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 8.f, 2.f),
-});
-
-const auto data_GB = combine(framework::dataset::make("UseGamma", { false, true }),
- framework::dataset::make("UseBeta", { false, true }));
-const auto data_f16 = combine(combine(combine(data_GB, act_infos), framework::dataset::make("DataType", DataType::F16)),
- framework::dataset::make("DataLayout", { DataLayout::NCHW }));
-const auto data_f32 = combine(combine(combine(data_GB, act_infos), framework::dataset::make("DataType", DataType::F32)),
- framework::dataset::make("DataLayout", { DataLayout::NCHW }));
-} // namespace
-
-TEST_SUITE(GC)
-TEST_SUITE(BatchNormalizationLayer)
-
-template <typename T>
-using GCBatchNormalizationLayerFixture = BatchNormalizationLayerValidationFixture<GCTensor, GCAccessor, GCBatchNormalizationLayer, T>;
-
-DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallRandomBatchNormalizationLayerDataset(),
- data_GB),
- framework::dataset::make("DataType", { DataType::F32 })),
- framework::dataset::make("DataLayout", { DataLayout::NCHW })),
- shape0, shape1, epsilon, use_beta, use_gamma, dt, data_layout)
-{
- TensorShape src_dst_shapes = shape0;
- if(data_layout == DataLayout::NHWC)
- {
- permute(src_dst_shapes, PermutationVector(2U, 0U, 1U));
- }
-
- // Create tensors
- GCTensor src = create_tensor<GCTensor>(src_dst_shapes, dt, 1, QuantizationInfo(), data_layout);
- GCTensor dst = create_tensor<GCTensor>(src_dst_shapes, dt, 1, QuantizationInfo(), data_layout);
- GCTensor mean = create_tensor<GCTensor>(shape1, dt, 1);
- GCTensor var = create_tensor<GCTensor>(shape1, dt, 1);
- GCTensor beta = create_tensor<GCTensor>(shape1, dt, 1);
- GCTensor gamma = create_tensor<GCTensor>(shape1, dt, 1);
-
- // Create and Configure function
- GCBatchNormalizationLayer norm;
- GCTensor *beta_ptr = use_beta ? &beta : nullptr;
- GCTensor *gamma_ptr = use_gamma ? &gamma : nullptr;
- norm.configure(&src, &dst, &mean, &var, beta_ptr, gamma_ptr, epsilon);
-
- // Validate valid region
- const ValidRegion valid_region = shape_to_valid_region(src_dst_shapes);
- validate(dst.info()->valid_region(), valid_region);
-}
-
-TEST_SUITE(Float)
-TEST_SUITE(FP16)
-FIXTURE_DATA_TEST_CASE(Random, GCBatchNormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallRandomBatchNormalizationLayerDataset(), data_f16))
-{
- // Validate output
- validate(GCAccessor(_target), _reference, tolerance_f16, 0);
-}
-TEST_SUITE_END()
-
-TEST_SUITE(FP32)
-FIXTURE_DATA_TEST_CASE(Random, GCBatchNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::LargeRandomBatchNormalizationLayerDataset(), data_f32))
-{
- // Validate output
- validate(GCAccessor(_target), _reference, tolerance_f, 0);
-}
-TEST_SUITE_END()
-TEST_SUITE_END()
-
-TEST_SUITE_END()
-TEST_SUITE_END()
-} // namespace validation
-} // namespace test
-} // namespace arm_compute