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-rw-r--r--tests/validation/NEON/PadLayer.cpp148
1 files changed, 79 insertions, 69 deletions
diff --git a/tests/validation/NEON/PadLayer.cpp b/tests/validation/NEON/PadLayer.cpp
index 90d3ae98d8..5049347f27 100644
--- a/tests/validation/NEON/PadLayer.cpp
+++ b/tests/validation/NEON/PadLayer.cpp
@@ -42,12 +42,14 @@ namespace validation
{
namespace
{
-const auto PaddingSizesDataset = framework::dataset::make("PaddingSize", { PaddingList{ { 0, 0 } },
+const auto PaddingSizesDataset = framework::dataset::make("PaddingSize",
+{
+ PaddingList{ { 0, 0 } },
PaddingList{ { 1, 1 } },
PaddingList{ { 1, 1 }, { 2, 2 } },
- PaddingList{ { 1, 1 }, { 1, 1 }, { 1, 1 }, { 1, 1 } },
- PaddingList{ { 0, 0 }, { 1, 0 }, { 0, 1 }, { 1, 2 } },
- PaddingList{ { 0, 0 }, { 0, 0 }, { 0, 0 }, { 1, 1 } }
+ PaddingList{ { 1, 1 }, { 1, 1 }, { 1, 1 } },
+ PaddingList{ { 0, 0 }, { 1, 0 }, { 0, 1 } },
+ PaddingList{ { 0, 1 }, { 1, 0 }, { 0, 1 } },
});
} // namespace
@@ -57,33 +59,62 @@ TEST_SUITE(PadLayer)
// *INDENT-OFF*
// clang-format off
-DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
- framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type input/output
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32)
- }),
- framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16),
- TensorInfo(TensorShape(28U, 11U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(29U, 17U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(29U, 15U, 4U, 3U), 1, DataType::F32),
- TensorInfo(TensorShape(27U, 14U, 3U, 4U), 1, DataType::F32),
- TensorInfo(TensorShape(32U, 13U, 2U, 3U), 1, DataType::F32)
- })),
- framework::dataset::make("PaddingSize", { PaddingList{{0, 0}},
- PaddingList{{1, 1}},
- PaddingList{{1, 1}, {2, 2}},
- PaddingList{{1,1}, {1,1}, {1,1}, {1,1}},
- PaddingList{{0,0}, {1,0}, {0,1}, {1,2}},
- PaddingList{{0,0}, {0,0}, {0,0}, {1,1}}
- })),
- framework::dataset::make("Expected", { false, false, true, true, true, true })),
- input_info, output_info, padding, expected)
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
+ framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type input/output
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type input/output
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32)
+ }),
+ framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16),
+ TensorInfo(TensorShape(28U, 11U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(29U, 17U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(29U, 15U, 4U, 3U), 1, DataType::F32),
+ TensorInfo(TensorShape(27U, 14U, 3U, 4U), 1, DataType::F32),
+ TensorInfo(TensorShape(32U, 13U, 2U, 3U), 1, DataType::F32),
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16),
+ TensorInfo(TensorShape(28U, 11U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(29U, 17U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(29U, 15U, 4U, 3U), 1, DataType::F32),
+ TensorInfo(TensorShape(27U, 14U, 3U, 4U), 1, DataType::F32),
+ TensorInfo(TensorShape(32U, 13U, 2U, 3U), 1, DataType::F32)
+ })),
+ framework::dataset::make("PaddingSize", { PaddingList{{0, 0}},
+ PaddingList{{1, 1}},
+ PaddingList{{1, 1}, {2, 2}},
+ PaddingList{{1,1}, {1,1}, {1,1}, {1,1}},
+ PaddingList{{0,0}, {1,0}, {0,1}, {1,2}},
+ PaddingList{{0,0}, {0,0}, {0,0}, {1,1}},
+ PaddingList{{0, 0}},
+ PaddingList{{1, 1}},
+ PaddingList{{1, 1}, {2, 2}},
+ PaddingList{{1,1}, {1,1}, {1,1}, {1,1}},
+ PaddingList{{0,0}, {1,0}, {0,1}, {1,2}},
+ PaddingList{{0,0}, {0,0}, {0,0}, {1,1}}
+ })),
+ framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT,
+ PaddingMode::CONSTANT,
+ PaddingMode::CONSTANT,
+ PaddingMode::CONSTANT,
+ PaddingMode::CONSTANT,
+ PaddingMode::CONSTANT,
+ PaddingMode::REFLECT,
+ PaddingMode::REFLECT,
+ PaddingMode::REFLECT,
+ PaddingMode::REFLECT,
+ PaddingMode::REFLECT,
+ PaddingMode::SYMMETRIC })),
+ framework::dataset::make("Expected", { false, false, true, true, true, true, false, false, true, false, false, true })),
+ input_info, output_info, padding, mode, expected)
{
- Status s = NEPadLayer::validate(&input_info.clone()->set_is_resizable(true), &output_info.clone()->set_is_resizable(true), padding);
- ARM_COMPUTE_EXPECT(bool(s) == expected, framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(bool(NEPadLayer::validate(&input_info.clone()->set_is_resizable(true), &output_info.clone()->set_is_resizable(true), padding, PixelValue(), mode)) == expected, framework::LogLevel::ERRORS);
}
// clang-format on
@@ -96,17 +127,17 @@ TEST_SUITE(Float)
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, NEPaddingFixture<float>, framework::DatasetMode::ALL,
- combine(
- combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::F32 })),
- PaddingSizesDataset))
+ combine(combine(combine(datasets::Small3DShapes(), framework::dataset::make("DataType", { DataType::F32 })),
+ PaddingSizesDataset),
+ framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT })))
{
// Validate output
validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEPaddingFixture<float>, framework::DatasetMode::NIGHTLY,
- combine(
- combine(datasets::LargeShapes(), framework::dataset::make("DataType", { DataType::F32 })),
- PaddingSizesDataset))
+ combine(combine(combine(datasets::Large3DShapes(), framework::dataset::make("DataType", { DataType::F32 })),
+ PaddingSizesDataset),
+ framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT, PaddingMode::SYMMETRIC })))
{
// Validate output
validate(Accessor(_target), _reference);
@@ -116,17 +147,17 @@ TEST_SUITE_END() // FP32
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEPaddingFixture<half>, framework::DatasetMode::ALL,
- combine(
- combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::F16 })),
- PaddingSizesDataset))
+ combine(combine(combine(datasets::Small3DShapes(), framework::dataset::make("DataType", { DataType::F16 })),
+ PaddingSizesDataset),
+ framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT })))
{
// Validate output
validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEPaddingFixture<half>, framework::DatasetMode::NIGHTLY,
- combine(
- combine(datasets::LargeShapes(), framework::dataset::make("DataType", { DataType::F16 })),
- PaddingSizesDataset))
+ combine(combine(combine(datasets::Large3DShapes(), framework::dataset::make("DataType", { DataType::F16 })),
+ PaddingSizesDataset),
+ framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT, PaddingMode::SYMMETRIC })))
{
// Validate output
validate(Accessor(_target), _reference);
@@ -135,41 +166,20 @@ TEST_SUITE_END() // FP16
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE_END() // Float
-TEST_SUITE(Integer)
-TEST_SUITE(S8)
-FIXTURE_DATA_TEST_CASE(RunSmall, NEPaddingFixture<int8_t>, framework::DatasetMode::ALL,
- combine(
- combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::S8 })),
- PaddingSizesDataset))
-{
- // Validate output
- validate(Accessor(_target), _reference);
-}
-FIXTURE_DATA_TEST_CASE(RunLarge, NEPaddingFixture<int8_t>, framework::DatasetMode::NIGHTLY,
- combine(
- combine(datasets::LargeShapes(), framework::dataset::make("DataType", { DataType::S8 })),
- PaddingSizesDataset))
-{
- // Validate output
- validate(Accessor(_target), _reference);
-}
-TEST_SUITE_END() // S8
-TEST_SUITE_END() // Integer
-
TEST_SUITE(Quantized)
TEST_SUITE(QASYMM8)
FIXTURE_DATA_TEST_CASE(RunSmall, NEPaddingFixture<uint8_t>, framework::DatasetMode::ALL,
- combine(
- combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::QASYMM8 })),
- PaddingSizesDataset))
+ combine(combine(combine(datasets::Small3DShapes(), framework::dataset::make("DataType", { DataType::QASYMM8 })),
+ PaddingSizesDataset),
+ framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT })))
{
// Validate output
validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEPaddingFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
- combine(
- combine(datasets::LargeShapes(), framework::dataset::make("DataType", { DataType::QASYMM8 })),
- PaddingSizesDataset))
+ combine(combine(combine(datasets::Large3DShapes(), framework::dataset::make("DataType", { DataType::QASYMM8 })),
+ PaddingSizesDataset),
+ framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT, PaddingMode::SYMMETRIC })))
{
// Validate output
validate(Accessor(_target), _reference);
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-15 04:35:08 +0000