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/*
* 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/runtime/NEON/functions/NEFuseBatchNormalization.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/FuseBatchNormalizationFixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
AbsoluteTolerance<float> absolute_tolerance_f32(0.001f);
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
AbsoluteTolerance<float> absolute_tolerance_f16(0.2f);
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
} // namespace
template <typename T>
using NEFuseBatchNormalizationConvFixture = FuseBatchNormalizationFixture<Tensor, Accessor, NEFuseBatchNormalization, 4, T>;
template <typename T>
using NEFuseBatchNormalizationDWCFixture = FuseBatchNormalizationFixture<Tensor, Accessor, NEFuseBatchNormalization, 3, T>;
// *INDENT-OFF*
// clang-format off
/** Shapes to test - Precommit */
const auto shape_conv_values_precommit = concat(datasets::Small4DShapes(), datasets::Small3DShapes());
/** Shapes to test - Nightly */
const auto shape_conv_values_nightly = concat(datasets::Large4DShapes(), datasets::Large3DShapes());
/** Data layout to test */
const auto data_layout_values = framework::dataset::make("DataLayout", { DataLayout::NHWC, DataLayout::NCHW });
/** In-place flags to test */
const auto in_place_values = framework::dataset::make("InPlace", { true, false });
/** With bias flags to test */
const auto with_bias_values = framework::dataset::make("WithBias", { true, false });
/** With gamma flags to test */
const auto with_gamma_values = framework::dataset::make("WithGamma", { true, false });
/** With beta flags to test */
const auto with_beta_values = framework::dataset::make("WithBeta", { true, false });
TEST_SUITE(NEON)
TEST_SUITE(FuseBatchNormalization)
TEST_SUITE(Convolution)
TEST_SUITE(Float)
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, NEFuseBatchNormalizationConvFixture<float>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(combine(combine(
shape_conv_values_precommit,
framework::dataset::make("DataType", { DataType::F32 })),
data_layout_values),
in_place_values),
with_bias_values),
with_gamma_values),
with_beta_values))
{
// Validate outputs
validate(Accessor(_target_w), _reference_w, absolute_tolerance_f32);
validate(Accessor(_target_b), _reference_b, absolute_tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEFuseBatchNormalizationConvFixture<float>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(combine(combine(
shape_conv_values_nightly,
framework::dataset::make("DataType", { DataType::F32 })),
data_layout_values),
in_place_values),
with_bias_values),
with_gamma_values),
with_beta_values))
{
// Validate outputs
validate(Accessor(_target_w), _reference_w, absolute_tolerance_f32);
validate(Accessor(_target_b), _reference_b, absolute_tolerance_f32);
}
TEST_SUITE_END() // FP32
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEFuseBatchNormalizationConvFixture<half>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(combine(combine(
shape_conv_values_precommit,
framework::dataset::make("DataType", { DataType::F16 })),
data_layout_values),
in_place_values),
with_bias_values),
with_gamma_values),
with_beta_values))
{
// Validate outputs
validate(Accessor(_target_w), _reference_w, absolute_tolerance_f16);
validate(Accessor(_target_b), _reference_b, absolute_tolerance_f16);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEFuseBatchNormalizationConvFixture<half>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(combine(combine(
shape_conv_values_nightly,
framework::dataset::make("DataType", { DataType::F16 })),
data_layout_values),
in_place_values),
with_bias_values),
with_gamma_values),
with_beta_values))
{
// Validate outputs
validate(Accessor(_target_w), _reference_w, absolute_tolerance_f16);
validate(Accessor(_target_b), _reference_b, absolute_tolerance_f16);
}
TEST_SUITE_END() // FP16
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE_END() // Float
TEST_SUITE_END() // Convolution
TEST_SUITE(DepthwiseConvolution)
TEST_SUITE(Float)
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, NEFuseBatchNormalizationDWCFixture<float>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(combine(combine(
datasets::Small3DShapes(),
framework::dataset::make("DataType", { DataType::F32 })),
data_layout_values),
in_place_values),
with_bias_values),
with_gamma_values),
with_beta_values))
{
// Validate outputs
validate(Accessor(_target_w), _reference_w, absolute_tolerance_f32);
validate(Accessor(_target_b), _reference_b, absolute_tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEFuseBatchNormalizationDWCFixture<float>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(combine(combine(
datasets::Large3DShapes(),
framework::dataset::make("DataType", { DataType::F32 })),
data_layout_values),
in_place_values),
with_bias_values),
with_gamma_values),
with_beta_values))
{
// Validate outputs
validate(Accessor(_target_w), _reference_w, absolute_tolerance_f32);
validate(Accessor(_target_b), _reference_b, absolute_tolerance_f32);
}
TEST_SUITE_END() // FP32
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEFuseBatchNormalizationDWCFixture<half>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(combine(combine(
datasets::Small3DShapes(),
framework::dataset::make("DataType", { DataType::F16 })),
data_layout_values),
in_place_values),
with_bias_values),
with_gamma_values),
with_beta_values))
{
// Validate outputs
validate(Accessor(_target_w), _reference_w, absolute_tolerance_f16);
validate(Accessor(_target_b), _reference_b, absolute_tolerance_f16);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEFuseBatchNormalizationDWCFixture<half>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(combine(combine(
datasets::Large3DShapes(),
framework::dataset::make("DataType", { DataType::F16 })),
data_layout_values),
in_place_values),
with_bias_values),
with_gamma_values),
with_beta_values))
{
// Validate outputs
validate(Accessor(_target_w), _reference_w, absolute_tolerance_f16);
validate(Accessor(_target_b), _reference_b, absolute_tolerance_f16);
}
TEST_SUITE_END() // FP16
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE_END() // Float
TEST_SUITE_END() // DepthwiseConvolution
TEST_SUITE_END() // FuseBatchNormalization
TEST_SUITE_END() // NEON
} // namespace validation
} // namespace test
} // namespace arm_compute
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