COMPMID-556: Add support to build arm64-v8.2-a for Android platform (clang compiler)
Change-Id: Ibb779dd3a8d10786da6d8f70590e654e14654d7b
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/95530
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
diff --git a/tests/validation/NEON/ActivationLayer.cpp b/tests/validation/NEON/ActivationLayer.cpp
index 0e32d60..b13cb59 100644
--- a/tests/validation/NEON/ActivationLayer.cpp
+++ b/tests/validation/NEON/ActivationLayer.cpp
@@ -78,9 +78,9 @@
/** CNN data types */
const auto CNNDataTypes = framework::dataset::make("DataType",
{
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
DataType::F16,
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
DataType::F32,
DataType::QS8,
DataType::QS16,
@@ -141,7 +141,7 @@
using NEActivationLayerFixture = ActivationValidationFixture<Tensor, Accessor, NEActivationLayer, T>;
TEST_SUITE(Float)
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEActivationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset),
framework::dataset::make("DataType",
@@ -158,7 +158,7 @@
validate(Accessor(_target), _reference, tolerance(_data_type, _function));
}
TEST_SUITE_END()
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, NEActivationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make("DataType",
diff --git a/tests/validation/NEON/ArithmeticAddition.cpp b/tests/validation/NEON/ArithmeticAddition.cpp
index 6bffd02..4431371 100644
--- a/tests/validation/NEON/ArithmeticAddition.cpp
+++ b/tests/validation/NEON/ArithmeticAddition.cpp
@@ -52,10 +52,10 @@
framework::dataset::make("DataType", DataType::QS8));
const auto ArithmeticAdditionQS16Dataset = combine(combine(framework::dataset::make("DataType", DataType::QS16), framework::dataset::make("DataType", DataType::QS16)),
framework::dataset::make("DataType", DataType::QS16));
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
const auto ArithmeticAdditionFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)),
framework::dataset::make("DataType", DataType::F16));
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
const auto ArithmeticAdditionFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("DataType", DataType::F32));
} // namespace
@@ -180,7 +180,7 @@
TEST_SUITE_END()
TEST_SUITE(Float)
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(F16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticAdditionFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ArithmeticAdditionFP16Dataset),
framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))
@@ -189,7 +189,7 @@
validate(Accessor(_target), _reference);
}
TEST_SUITE_END()
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE(F32)
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
diff --git a/tests/validation/NEON/ArithmeticSubtraction.cpp b/tests/validation/NEON/ArithmeticSubtraction.cpp
index fcd415b..0c2a7be 100644
--- a/tests/validation/NEON/ArithmeticSubtraction.cpp
+++ b/tests/validation/NEON/ArithmeticSubtraction.cpp
@@ -59,10 +59,10 @@
framework::dataset::make("DataType", DataType::QS8));
const auto ArithmeticSubtractionQS16Dataset = combine(combine(framework::dataset::make("DataType", DataType::QS16), framework::dataset::make("DataType", DataType::QS16)),
framework::dataset::make("DataType", DataType::QS16));
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
const auto ArithmeticSubtractionFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)),
framework::dataset::make("DataType", DataType::F16));
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
const auto ArithmeticSubtractionFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("DataType", DataType::F32));
} // namespace
@@ -254,7 +254,7 @@
TEST_SUITE_END()
TEST_SUITE(Float)
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEArithmeticSubtractionFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ArithmeticSubtractionFP16Dataset),
framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))
@@ -263,7 +263,7 @@
validate(Accessor(_target), _reference);
}
TEST_SUITE_END()
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE(FP32)
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
diff --git a/tests/validation/NEON/BatchNormalizationLayer.cpp b/tests/validation/NEON/BatchNormalizationLayer.cpp
index 163f71f..b401f55 100644
--- a/tests/validation/NEON/BatchNormalizationLayer.cpp
+++ b/tests/validation/NEON/BatchNormalizationLayer.cpp
@@ -44,9 +44,9 @@
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_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
constexpr AbsoluteTolerance<float> tolerance_f16(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
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
@@ -89,7 +89,7 @@
}
TEST_SUITE_END()
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(Float16)
FIXTURE_DATA_TEST_CASE(Random, NEBatchNormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(datasets::RandomBatchNormalizationLayerDataset(),
framework::dataset::make("DataType", DataType::F16)))
@@ -98,7 +98,7 @@
validate(Accessor(_target), _reference, tolerance_f16, 0);
}
TEST_SUITE_END()
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE(Quantized)
template <typename T>
diff --git a/tests/validation/NEON/ConvolutionLayer.cpp b/tests/validation/NEON/ConvolutionLayer.cpp
index 3003409..5e14a7c 100644
--- a/tests/validation/NEON/ConvolutionLayer.cpp
+++ b/tests/validation/NEON/ConvolutionLayer.cpp
@@ -44,17 +44,17 @@
namespace
{
const AbsoluteTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
const AbsoluteTolerance<float> tolerance_f16(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
const AbsoluteTolerance<float> tolerance_q(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for fixed point data types */
/** CNN data types */
const auto CNNDataTypes = framework::dataset::make("DataType",
{
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
DataType::F16,
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
DataType::F32,
DataType::QS8,
DataType::QS16,
@@ -104,7 +104,7 @@
using NEConvolutionLayerFixture = ConvolutionValidationFixture<Tensor, Accessor, NEConvolutionLayer, T>;
TEST_SUITE(Float)
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallConvolutionLayerDataset(),
framework::dataset::make("ReshapeWeights", { true, false })),
@@ -121,7 +121,7 @@
validate(Accessor(_target), _reference, tolerance_f16);
}
TEST_SUITE_END()
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallConvolutionLayerDataset(),
diff --git a/tests/validation/NEON/DepthConcatenateLayer.cpp b/tests/validation/NEON/DepthConcatenateLayer.cpp
index 6b0f311..9a0a34f 100644
--- a/tests/validation/NEON/DepthConcatenateLayer.cpp
+++ b/tests/validation/NEON/DepthConcatenateLayer.cpp
@@ -48,7 +48,7 @@
using NEDepthConcatenateLayerFixture = DepthConcatenateValidationFixture<Tensor, ITensor, Accessor, NEDepthConcatenate, T>;
TEST_SUITE(Float)
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConcatenateLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
DataType::F16)))
@@ -63,7 +63,7 @@
validate(Accessor(_target), _reference);
}
TEST_SUITE_END()
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConcatenateLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
diff --git a/tests/validation/NEON/DirectConvolutionLayer.cpp b/tests/validation/NEON/DirectConvolutionLayer.cpp
index 23c02cb..52e2b2c 100644
--- a/tests/validation/NEON/DirectConvolutionLayer.cpp
+++ b/tests/validation/NEON/DirectConvolutionLayer.cpp
@@ -43,9 +43,9 @@
namespace
{
constexpr AbsoluteTolerance<float> tolerance_qs(1.f); /**< Tolerance for fixed point tests */
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
constexpr AbsoluteTolerance<float> tolerance_fp16(0.01f); /**< Tolerance for half precision floating point tests */
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
constexpr AbsoluteTolerance<float> tolerance_fp32(0.001f); /**< Tolerance for floating point tests */
/** Direct convolution data set. */
@@ -97,7 +97,7 @@
using NEDirectConvolutionLayerFixture = DirectConvolutionValidationFixture<Tensor, Accessor, NEDirectConvolutionLayer, T>;
TEST_SUITE(Float)
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(Run, NEDirectConvolutionLayerFixture<half>, framework::DatasetMode::ALL, combine(data_f32, framework::dataset::make("DataType", DataType::F16)))
{
@@ -105,7 +105,7 @@
validate(Accessor(_target), _reference, tolerance_fp16);
}
TEST_SUITE_END()
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(Run, NEDirectConvolutionLayerFixture<float>, framework::DatasetMode::ALL, combine(data_f32, framework::dataset::make("DataType", DataType::F32)))
diff --git a/tests/validation/NEON/Flatten.cpp b/tests/validation/NEON/Flatten.cpp
index 72da22e..d80faf4 100644
--- a/tests/validation/NEON/Flatten.cpp
+++ b/tests/validation/NEON/Flatten.cpp
@@ -62,7 +62,7 @@
}
TEST_SUITE_END()
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEFlattenLayerFixture<half>, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::Small3DShapes(), datasets::Small4DShapes()),
framework::dataset::make("DataType", DataType::F16)))
@@ -77,7 +77,7 @@
validate(Accessor(_target), _reference);
}
TEST_SUITE_END()
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE_END()
TEST_SUITE(Quantized)
diff --git a/tests/validation/NEON/FullyConnectedLayer.cpp b/tests/validation/NEON/FullyConnectedLayer.cpp
index ec3422c..2ff432b 100644
--- a/tests/validation/NEON/FullyConnectedLayer.cpp
+++ b/tests/validation/NEON/FullyConnectedLayer.cpp
@@ -44,18 +44,18 @@
{
/** Tolerance for float operations */
constexpr RelativeTolerance<float> tolerance_f32(0.01f);
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
constexpr RelativeTolerance<float> tolerance_f16(0.01f);
-#endif /* ARM_COMPUTE_AARCH64_V8_2*/
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC*/
/** Tolerance for fixed point operations */
constexpr AbsoluteTolerance<float> tolerance_fixed_point(1.f);
/** CNN data types */
const auto CNNDataTypes = framework::dataset::make("DataType",
{
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
DataType::F16,
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
DataType::F32,
DataType::QS8,
DataType::QS16,
@@ -119,7 +119,7 @@
using NEFullyConnectedLayerFixture = FullyConnectedLayerValidationFixture<Tensor, Accessor, NEFullyConnectedLayer, T, true>;
TEST_SUITE(Float)
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEFullyConnectedLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(),
FullyConnectedParameters),
@@ -136,7 +136,7 @@
validate(Accessor(_target), _reference, tolerance_f16);
}
TEST_SUITE_END()
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, NEFullyConnectedLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters),
diff --git a/tests/validation/NEON/GEMM.cpp b/tests/validation/NEON/GEMM.cpp
index d5e3aee..129544e 100644
--- a/tests/validation/NEON/GEMM.cpp
+++ b/tests/validation/NEON/GEMM.cpp
@@ -49,9 +49,9 @@
/** CNN data types */
const auto CNNDataTypes = framework::dataset::make("DataType",
{
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
DataType::F16,
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
DataType::F32,
DataType::QS8,
DataType::QS16,
@@ -89,7 +89,7 @@
using NEGEMMFixture = GEMMValidationFixture<Tensor, Accessor, NEGEMM, T>;
TEST_SUITE(Float)
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMFixture<half>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallGEMMDataset(), framework::dataset::make("DataType", DataType::F16)))
{
@@ -103,7 +103,7 @@
validate(Accessor(_target), _reference, tolerance_f);
}
TEST_SUITE_END()
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallGEMMDataset(), framework::dataset::make("DataType", DataType::F32)))
diff --git a/tests/validation/NEON/HarrisCorners.cpp b/tests/validation/NEON/HarrisCorners.cpp
index 1ad32be..e5770e6 100644
--- a/tests/validation/NEON/HarrisCorners.cpp
+++ b/tests/validation/NEON/HarrisCorners.cpp
@@ -46,9 +46,9 @@
{
const auto use_fp16 = framework::dataset::make("UseFP16",
{
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
true,
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
false
});
diff --git a/tests/validation/NEON/Magnitude.cpp b/tests/validation/NEON/Magnitude.cpp
index cdc29a5..3b7562b 100644
--- a/tests/validation/NEON/Magnitude.cpp
+++ b/tests/validation/NEON/Magnitude.cpp
@@ -45,13 +45,13 @@
return AbsoluteTolerance<T>((MagnitudeType::L1NORM == magnitude_type) ? 0 : 1);
}
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
template <>
AbsoluteTolerance<half_float::half> tolerance(MagnitudeType magnitude_type)
{
return AbsoluteTolerance<half_float::half>((MagnitudeType::L1NORM == magnitude_type) ? half(0.0) : half(1.0));
}
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
} // namespace
@@ -105,7 +105,7 @@
}
TEST_SUITE_END() // S16
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(F16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEMagnitudeFixture<half_float::half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(), framework::dataset::make("Format",
Format::S16)),
@@ -116,7 +116,7 @@
validate(Accessor(_target), _reference, tolerance<half_float::half>(_magnitude_type));
}
TEST_SUITE_END() // F16
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE_END()
TEST_SUITE_END()
diff --git a/tests/validation/NEON/NormalizationLayer.cpp b/tests/validation/NEON/NormalizationLayer.cpp
index 2bc2681..e22922c 100644
--- a/tests/validation/NEON/NormalizationLayer.cpp
+++ b/tests/validation/NEON/NormalizationLayer.cpp
@@ -44,9 +44,9 @@
namespace
{
/** Tolerance for float operations */
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
constexpr AbsoluteTolerance<float> tolerance_f16(0.001f);
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
constexpr AbsoluteTolerance<float> tolerance_f32(0.00001f);
/** Tolerance for fixed point operations */
constexpr AbsoluteTolerance<int8_t> tolerance_qs8(2);
@@ -66,7 +66,7 @@
using NENormalizationLayerFixture = NormalizationValidationFixture<Tensor, Accessor, NENormalizationLayer, T>;
TEST_SUITE(Float)
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NENormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(NormalizationDataset, framework::dataset::make("DataType", DataType::F16)))
{
@@ -79,7 +79,7 @@
validate(Accessor(_target), _reference, tolerance_f16);
}
TEST_SUITE_END()
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, NENormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(NormalizationDataset, framework::dataset::make("DataType", DataType::F32)))
diff --git a/tests/validation/NEON/PixelWiseMultiplication.cpp b/tests/validation/NEON/PixelWiseMultiplication.cpp
index d713106..8d2ece5 100644
--- a/tests/validation/NEON/PixelWiseMultiplication.cpp
+++ b/tests/validation/NEON/PixelWiseMultiplication.cpp
@@ -186,7 +186,7 @@
TEST_SUITE_END() // S16toS16
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(F16toF16)
TEST_SUITE(Scale255)
@@ -194,7 +194,7 @@
TEST_SUITE_END() // Scale255
TEST_SUITE_END() // F16toF16
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE(F32toF32)
diff --git a/tests/validation/NEON/PoolingLayer.cpp b/tests/validation/NEON/PoolingLayer.cpp
index 1338462..78c3269 100644
--- a/tests/validation/NEON/PoolingLayer.cpp
+++ b/tests/validation/NEON/PoolingLayer.cpp
@@ -54,9 +54,9 @@
framework::dataset::make("ExcludePadding", { false }));
constexpr AbsoluteTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for float types */
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
constexpr AbsoluteTolerance<float> tolerance_f16(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for float types */
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
constexpr AbsoluteTolerance<float> tolerance_qs8(0); /**< Tolerance value for comparing reference's output against implementation's output for quantized input */
constexpr AbsoluteTolerance<float> tolerance_qs16(0); /**< Tolerance value for comparing reference's output against implementation's output for quantized input */
} // namespace
@@ -85,7 +85,7 @@
}
TEST_SUITE_END()
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayerFixture<half>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFP,
framework::dataset::make("DataType", DataType::F16))))
@@ -100,7 +100,7 @@
validate(Accessor(_target), _reference, tolerance_f16);
}
TEST_SUITE_END()
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE_END()
template <typename T>
diff --git a/tests/validation/NEON/SoftmaxLayer.cpp b/tests/validation/NEON/SoftmaxLayer.cpp
index fde5867..9d1795e 100644
--- a/tests/validation/NEON/SoftmaxLayer.cpp
+++ b/tests/validation/NEON/SoftmaxLayer.cpp
@@ -44,18 +44,18 @@
{
/** Tolerance for float operations */
constexpr AbsoluteTolerance<float> tolerance_f32(0.000001f);
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
constexpr AbsoluteTolerance<float> tolerance_f16(0.0001f);
-#endif /* ARM_COMPUTE_AARCH64_V8_2*/
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC*/
/** Tolerance for fixed point operations */
constexpr AbsoluteTolerance<int16_t> tolerance_fixed_point(2);
/** CNN data types */
const auto CNNDataTypes = framework::dataset::make("DataType",
{
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
DataType::F16,
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
DataType::F32,
DataType::QS8,
DataType::QS16,
@@ -97,7 +97,7 @@
using NESoftmaxLayerFixture = SoftmaxValidationFixture<Tensor, Accessor, NESoftmaxLayer, T>;
TEST_SUITE(Float)
-#ifdef ARM_COMPUTE_AARCH64_V8_2
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NESoftmaxLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16)))
{
@@ -110,7 +110,7 @@
validate(Accessor(_target), _reference, tolerance_f16);
}
TEST_SUITE_END()
-#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, NESoftmaxLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)))