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authorUsama Arif <usama.arif@arm.com>2019-05-14 17:10:40 +0100
committerUsama Arif <usama.arif@arm.com>2019-05-23 13:26:03 +0000
commit9e631c204444e7b095510c54819e944f9be8d342 (patch)
treea6ebd7168d206cf18c46e1ceef29365024751767 /tests/validation/NEON/DepthConvertLayer.cpp
parentdd0bf484a3a34dff17757b5e7a4b6be3b1682a29 (diff)
downloadComputeLibrary-9e631c204444e7b095510c54819e944f9be8d342.tar.gz
COMPMID-2252 NECast.
Change-Id: I7532aea6827a325eb8457132d4787ac527e93cd4 Signed-off-by: Usama Arif <usama.arif@arm.com> Reviewed-on: https://review.mlplatform.org/c/1149 Reviewed-by: Pablo Marquez <pablo.tello@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'tests/validation/NEON/DepthConvertLayer.cpp')
-rw-r--r--tests/validation/NEON/DepthConvertLayer.cpp486
1 files changed, 475 insertions, 11 deletions
diff --git a/tests/validation/NEON/DepthConvertLayer.cpp b/tests/validation/NEON/DepthConvertLayer.cpp
index cee7bdedc2..2592c5d5a1 100644
--- a/tests/validation/NEON/DepthConvertLayer.cpp
+++ b/tests/validation/NEON/DepthConvertLayer.cpp
@@ -46,15 +46,28 @@ namespace
/** Input data sets **/
const auto DepthConvertLayerQASYMM8toF16Dataset = combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::F16));
const auto DepthConvertLayerQASYMM8toF32Dataset = combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::F32));
+const auto DepthConvertLayerQASYMM8toS32Dataset = combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::S32));
const auto DepthConvertLayerU8toU16Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::U16));
const auto DepthConvertLayerU8toS16Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::S16));
const auto DepthConvertLayerU8toS32Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::S32));
+const auto DepthConvertLayerU8toF16Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::F16));
+const auto DepthConvertLayerU8toF32Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::F32));
const auto DepthConvertLayerU16toU8Dataset = combine(framework::dataset::make("DataType", DataType::U16), framework::dataset::make("DataType", DataType::U8));
const auto DepthConvertLayerU16toU32Dataset = combine(framework::dataset::make("DataType", DataType::U16), framework::dataset::make("DataType", DataType::U32));
const auto DepthConvertLayerS16toU8Dataset = combine(framework::dataset::make("DataType", DataType::S16), framework::dataset::make("DataType", DataType::U8));
const auto DepthConvertLayerS16toS32Dataset = combine(framework::dataset::make("DataType", DataType::S16), framework::dataset::make("DataType", DataType::S32));
+const auto DepthConvertLayerF16toU8Dataset = combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::U8));
const auto DepthConvertLayerF16toF32Dataset = combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F32));
+const auto DepthConvertLayerF16toS32Dataset = combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::S32));
const auto DepthConvertLayerF32toF16Dataset = combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F16));
+const auto DepthConvertLayerF32toS32Dataset = combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::S32));
+const auto DepthConvertLayerF32toU8Dataset = combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::U8));
+
+const auto DepthConvertLayerS32toF32Dataset = combine(framework::dataset::make("DataType", DataType::S32), framework::dataset::make("DataType", DataType::F32));
+const auto DepthConvertLayerS32toQASYMM8Dataset = combine(framework::dataset::make("DataType", DataType::S32), framework::dataset::make("DataType", DataType::QASYMM8));
+const auto DepthConvertLayerS32toF16Dataset = combine(framework::dataset::make("DataType", DataType::S32), framework::dataset::make("DataType", DataType::F16));
+const auto DepthConvertLayerS32toU8Dataset = combine(framework::dataset::make("DataType", DataType::S32), framework::dataset::make("DataType", DataType::U8));
+
const auto DepthConvertLayerF16toQASYMM8Dataset = combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::QASYMM8));
const auto DepthConvertLayerF32toQASYMM8Dataset = combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::QASYMM8));
const auto DepthConvertLayerShiftDatasetNightly = framework::dataset::make("Shift", 0, 7);
@@ -62,6 +75,8 @@ const auto DepthConvertLayerShiftDatasetPrecommit = framework::dataset::make("Sh
const auto DepthConvertLayerZeroShiftDataset = framework::dataset::make("Shift", 0);
constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1);
+constexpr AbsoluteTolerance<int32_t> tolerance_one_int32(1);
+constexpr AbsoluteTolerance<uint8_t> tolerance_one_uint8(1);
} // namespace
TEST_SUITE(NEON)
@@ -70,23 +85,15 @@ TEST_SUITE(DepthConvertLayer)
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
- framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), // Invalid data type combination
- TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Invalid data type combination
- TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U16), // Invalid data type combination
+ framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U16), // Invalid data type combination
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), // Invalid data type combination
- TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Invalid data type combination
- TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), // Invalid data type combination
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Mismatching shapes
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), // Invalid shift
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), // Valid
}),
- framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16),
- TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
+ framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
- TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
- TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
})),
framework::dataset::make("Policy",{ ConvertPolicy::WRAP,
@@ -99,7 +106,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
})),
framework::dataset::make("Shift",{ 1, 1, 1, 1, 1, 1, 8, 1,
})),
- framework::dataset::make("Expected", { false, false, false, false, false, false, false, true})),
+ framework::dataset::make("Expected", { false, false, false, false, true})),
input_info, output_info, policy, shift, expected)
{
ARM_COMPUTE_EXPECT(bool(NEDepthConvertLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), policy, shift)) == expected, framework::LogLevel::ERRORS);
@@ -127,6 +134,8 @@ template <typename T>
using NEDepthConvertLayerQuantizedToF16Fixture = DepthConvertLayerValidationQuantizedFixture<Tensor, Accessor, NEDepthConvertLayer, T, half>;
template <typename T>
using NEDepthConvertLayerQuantizedToF32Fixture = DepthConvertLayerValidationQuantizedFixture<Tensor, Accessor, NEDepthConvertLayer, T, float>;
+template <typename T>
+using NEDepthConvertLayerQuantizedToS32Fixture = DepthConvertLayerValidationQuantizedFixture<Tensor, Accessor, NEDepthConvertLayer, T, int32_t>;
TEST_SUITE(QASYMM8_to_F32)
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
@@ -171,6 +180,49 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerQuantizedToF32Fixture<uint8_
}
TEST_SUITE_END() // QASYMM8_to_F32
+TEST_SUITE(QASYMM8_to_S32)
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerZeroShiftDataset),
+ shape, policy, shift)
+{
+ // Create tensors
+ Tensor src = create_tensor<Tensor>(shape, DataType::QASYMM8, 1);
+ Tensor dst = create_tensor<Tensor>(shape, DataType::S32, 1);
+
+ // Create and Configure function
+ NEDepthConvertLayer depth_convert;
+ depth_convert.configure(&src, &dst, policy, shift);
+
+ // Validate valid region
+ const ValidRegion valid_region = shape_to_valid_region(shape);
+ validate(dst.info()->valid_region(), valid_region);
+
+ // Validate padding
+ const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding();
+ validate(src.info()->padding(), padding);
+ validate(dst.info()->padding(), padding);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerQuantizedToS32Fixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(),
+ DepthConvertLayerQASYMM8toS32Dataset),
+ framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE })),
+ DepthConvertLayerZeroShiftDataset),
+ framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
+{
+ // Validate output
+ validate(Accessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerQuantizedToS32Fixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(),
+ DepthConvertLayerQASYMM8toS32Dataset),
+ framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE })),
+ DepthConvertLayerZeroShiftDataset),
+ framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
+{
+ // Validate output
+ validate(Accessor(_target), _reference);
+}
+TEST_SUITE_END() // QASYMM8_to_S32
+
TEST_SUITE(U8_to_U16)
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
DepthConvertLayerShiftDatasetNightly),
@@ -290,6 +342,90 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToS32Fixture<uint8_t>, frame
}
TEST_SUITE_END() // U8_to_S32
+
+TEST_SUITE(U8_to_F32)
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerShiftDatasetNightly),
+ shape, policy, shift)
+{
+ // Create tensors
+ Tensor src = create_tensor<Tensor>(shape, DataType::U8, 1);
+ Tensor dst = create_tensor<Tensor>(shape, DataType::F32, 1);
+
+ // Create and Configure function
+ NEDepthConvertLayer depth_convert;
+ depth_convert.configure(&src, &dst, policy, shift);
+
+ // Validate valid region
+ const ValidRegion valid_region = shape_to_valid_region(shape);
+ validate(dst.info()->valid_region(), valid_region);
+
+ // Validate padding
+ const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding();
+ validate(src.info()->padding(), padding);
+ validate(dst.info()->padding(), padding);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToF32Fixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toF32Dataset),
+ framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerShiftDatasetPrecommit))
+{
+ // Validate output
+ validate(Accessor(_target), _reference);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToF32Fixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toF32Dataset),
+ framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerShiftDatasetNightly))
+{
+ // Validate output
+ validate(Accessor(_target), _reference);
+}
+TEST_SUITE_END() // U8_to_F32
+
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+TEST_SUITE(U8_to_F16)
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerShiftDatasetNightly),
+ shape, policy, shift)
+{
+ // Create tensors
+ Tensor src = create_tensor<Tensor>(shape, DataType::U8, 1);
+ Tensor dst = create_tensor<Tensor>(shape, DataType::F16, 1);
+
+ // Create and Configure function
+ NEDepthConvertLayer depth_convert;
+ depth_convert.configure(&src, &dst, policy, shift);
+
+ // Validate valid region
+ const ValidRegion valid_region = shape_to_valid_region(shape);
+ validate(dst.info()->valid_region(), valid_region);
+
+ // Validate padding
+ const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding();
+ validate(src.info()->padding(), padding);
+ validate(dst.info()->padding(), padding);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToF16Fixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerU8toF16Dataset),
+ framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerShiftDatasetPrecommit))
+{
+ // Validate output
+ validate(Accessor(_target), _reference);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToF16Fixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerU8toF16Dataset),
+ framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerShiftDatasetNightly))
+{
+ // Validate output
+ validate(Accessor(_target), _reference);
+}
+TEST_SUITE_END() // U8_to_F36
+#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+
+
TEST_SUITE(U16_to_U8)
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
DepthConvertLayerShiftDatasetNightly),
@@ -490,6 +626,48 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToQASYMM8Fixture<half>, fram
}
TEST_SUITE_END() // F16_to_QASYMM8
+
+TEST_SUITE(F16_to_U8)
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerZeroShiftDataset),
+ shape, policy, shift)
+{
+ // Create tensors
+ Tensor src = create_tensor<Tensor>(shape, DataType::F16, 1);
+ Tensor dst = create_tensor<Tensor>(shape, DataType::U8, 1);
+
+ // Create and Configure function
+ NEDepthConvertLayer depth_convert;
+ depth_convert.configure(&src, &dst, policy, shift);
+
+ // Validate valid region
+ const ValidRegion valid_region = shape_to_valid_region(shape);
+ validate(dst.info()->valid_region(), valid_region);
+
+ // Validate padding
+ const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding();
+ validate(src.info()->padding(), padding);
+ validate(dst.info()->padding(), padding);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToU8Fixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerF16toU8Dataset),
+ framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerZeroShiftDataset))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_one_uint8);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToU8Fixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerF16toU8Dataset),
+ framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerZeroShiftDataset))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_one_uint8);
+}
+TEST_SUITE_END() // F16_to_U8
+
+
+
TEST_SUITE(F16_to_F32)
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
DepthConvertLayerZeroShiftDataset),
@@ -529,6 +707,46 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToF32Fixture<half>, framewor
}
TEST_SUITE_END() // F16_to_F32
+TEST_SUITE(F16_to_S32)
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerZeroShiftDataset),
+ shape, policy, shift)
+{
+ // Create tensors
+ Tensor src = create_tensor<Tensor>(shape, DataType::F16, 1);
+ Tensor dst = create_tensor<Tensor>(shape, DataType::S32, 1);
+
+ // Create and Configure function
+ NEDepthConvertLayer depth_convert;
+ depth_convert.configure(&src, &dst, policy, shift);
+
+ // Validate valid region
+ const ValidRegion valid_region = shape_to_valid_region(shape);
+ validate(dst.info()->valid_region(), valid_region);
+
+ // Validate padding
+ const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding();
+ validate(src.info()->padding(), padding);
+ validate(dst.info()->padding(), padding);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToS32Fixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerF16toS32Dataset),
+ framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerZeroShiftDataset))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_one_int32);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToS32Fixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerF16toS32Dataset),
+ framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerZeroShiftDataset))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_one_int32);
+}
+
+TEST_SUITE_END() // F16_to_S32
+
TEST_SUITE(QASYMM8_to_F16)
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
DepthConvertLayerZeroShiftDataset),
@@ -610,8 +828,128 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToF16Fixture<float>, framewo
validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // F32_to_F16
+
+TEST_SUITE(S32_to_F16)
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerZeroShiftDataset),
+ shape, policy, shift)
+{
+ // Create tensors
+ Tensor src = create_tensor<Tensor>(shape, DataType::S32, 1);
+ Tensor dst = create_tensor<Tensor>(shape, DataType::F16, 1);
+
+ // Create and Configure function
+ NEDepthConvertLayer depth_convert;
+ depth_convert.configure(&src, &dst, policy, shift);
+
+ // Validate valid region
+ const ValidRegion valid_region = shape_to_valid_region(shape);
+ validate(dst.info()->valid_region(), valid_region);
+
+ // Validate padding
+ const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding();
+ validate(src.info()->padding(), padding);
+ validate(dst.info()->padding(), padding);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToF16Fixture<int32_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerS32toF16Dataset),
+ framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerZeroShiftDataset))
+{
+ // Validate output
+ validate(Accessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToF16Fixture<int32_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerS32toF16Dataset),
+ framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerZeroShiftDataset))
+{
+ // Validate output
+ validate(Accessor(_target), _reference);
+}
+TEST_SUITE_END() // S32_to_F16
+
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
+TEST_SUITE(F32_to_S32)
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerZeroShiftDataset),
+ shape, policy, shift)
+{
+ // Create tensors
+ Tensor src = create_tensor<Tensor>(shape, DataType::F32, 1);
+ Tensor dst = create_tensor<Tensor>(shape, DataType::S32, 1);
+
+ // Create and Configure function
+ NEDepthConvertLayer depth_convert;
+ depth_convert.configure(&src, &dst, policy, shift);
+
+ // Validate valid region
+ const ValidRegion valid_region = shape_to_valid_region(shape);
+ validate(dst.info()->valid_region(), valid_region);
+
+ // Validate padding
+ const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding();
+ validate(src.info()->padding(), padding);
+ validate(dst.info()->padding(), padding);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToS32Fixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerF32toS32Dataset),
+ framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerZeroShiftDataset))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_one_int32);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToS32Fixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerF32toS32Dataset),
+ framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerZeroShiftDataset))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_one_int32);
+}
+TEST_SUITE_END() // F32_to_S32
+
+TEST_SUITE(F32_to_U8)
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerZeroShiftDataset),
+ shape, policy, shift)
+{
+ // Create tensors
+ Tensor src = create_tensor<Tensor>(shape, DataType::F32, 1);
+ Tensor dst = create_tensor<Tensor>(shape, DataType::U8, 1);
+
+ // Create and Configure function
+ NEDepthConvertLayer depth_convert;
+ depth_convert.configure(&src, &dst, policy, shift);
+
+ // Validate valid region
+ const ValidRegion valid_region = shape_to_valid_region(shape);
+ validate(dst.info()->valid_region(), valid_region);
+
+ // Validate padding
+ const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding();
+ validate(src.info()->padding(), padding);
+ validate(dst.info()->padding(), padding);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToU8Fixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerF32toU8Dataset),
+ framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerZeroShiftDataset))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_one_int32);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToU8Fixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerF32toU8Dataset),
+ framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerZeroShiftDataset))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_one_int32);
+}
+TEST_SUITE_END() // F32_to_U8
+
+
+
TEST_SUITE(F32_to_QASYMM8)
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
DepthConvertLayerZeroShiftDataset),
@@ -654,6 +992,132 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToQASYMM8Fixture<float>, fra
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE_END() // F32_to_QASYMM8
+
+
+TEST_SUITE(S32_to_F32)
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerZeroShiftDataset),
+ shape, policy, shift)
+{
+ // Create tensors
+ Tensor src = create_tensor<Tensor>(shape, DataType::S32, 1);
+ Tensor dst = create_tensor<Tensor>(shape, DataType::F32, 1);
+
+ // Create and Configure function
+ NEDepthConvertLayer depth_convert;
+ depth_convert.configure(&src, &dst, policy, shift);
+
+ // Validate valid region
+ const ValidRegion valid_region = shape_to_valid_region(shape);
+ validate(dst.info()->valid_region(), valid_region);
+
+ // Validate padding
+ const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding();
+ validate(src.info()->padding(), padding);
+ validate(dst.info()->padding(), padding);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToF32Fixture<int32_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerS32toF32Dataset),
+ framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerZeroShiftDataset))
+{
+ // Validate output
+ validate(Accessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToF32Fixture<int32_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerS32toF32Dataset),
+ framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerZeroShiftDataset))
+{
+ // Validate output
+ validate(Accessor(_target), _reference);
+}
+TEST_SUITE_END() // S32_to_F32
+
+TEST_SUITE(S32_to_QASYMM8)
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerZeroShiftDataset),
+ shape, policy, shift)
+{
+ // Create tensors
+ Tensor src = create_tensor<Tensor>(shape, DataType::S32, 1);
+ Tensor dst = create_tensor<Tensor>(shape, DataType::QASYMM8, 1);
+
+ // Create and Configure function
+ NEDepthConvertLayer depth_convert;
+ depth_convert.configure(&src, &dst, policy, shift);
+
+ // Validate valid region
+ const ValidRegion valid_region = shape_to_valid_region(shape);
+ validate(dst.info()->valid_region(), valid_region);
+
+ // Validate padding
+ const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding();
+ validate(src.info()->padding(), padding);
+ validate(dst.info()->padding(), padding);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToQASYMM8Fixture<int32_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(),
+ DepthConvertLayerS32toQASYMM8Dataset),
+ framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE })),
+ DepthConvertLayerZeroShiftDataset),
+ framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_qasymm8);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToQASYMM8Fixture<int32_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(),
+ DepthConvertLayerS32toQASYMM8Dataset),
+ framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE })),
+ DepthConvertLayerZeroShiftDataset),
+ framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_qasymm8);
+}
+TEST_SUITE_END() // S32_to_QASYMM8
+
+TEST_SUITE(S32_to_U8)
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerZeroShiftDataset),
+ shape, policy, shift)
+{
+ // Create tensors
+ Tensor src = create_tensor<Tensor>(shape, DataType::S32, 1);
+ Tensor dst = create_tensor<Tensor>(shape, DataType::U8, 1);
+
+ // Create and Configure function
+ NEDepthConvertLayer depth_convert;
+ depth_convert.configure(&src, &dst, policy, shift);
+
+ // Validate valid region
+ const ValidRegion valid_region = shape_to_valid_region(shape);
+ validate(dst.info()->valid_region(), valid_region);
+
+ // Validate padding
+ const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding();
+ validate(src.info()->padding(), padding);
+ validate(dst.info()->padding(), padding);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertLayerToU8Fixture<int32_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertLayerS32toU8Dataset),
+ framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerZeroShiftDataset))
+{
+ // Validate output
+ validate(Accessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertLayerToU8Fixture<int32_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertLayerS32toU8Dataset),
+ framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
+ DepthConvertLayerZeroShiftDataset))
+{
+ // Validate output
+ validate(Accessor(_target), _reference);
+}
+TEST_SUITE_END() // S32_to_U8
+
+
+
+
TEST_SUITE_END() // DepthConvertLayer
TEST_SUITE_END() // NEON
} // namespace validation