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-rw-r--r--tests/validation/NEON/ConvolutionLayer.cpp24
-rw-r--r--tests/validation/NEON/DeconvolutionLayer.cpp48
-rw-r--r--tests/validation/NEON/DilatedConvolutionLayer.cpp24
-rw-r--r--tests/validation/NEON/DirectConvolutionLayer.cpp72
-rw-r--r--tests/validation/NEON/GEMMLowp.cpp2
-rw-r--r--tests/validation/NEON/LocallyConnected.cpp64
-rw-r--r--tests/validation/NEON/NormalizationLayer.cpp24
-rw-r--r--tests/validation/NEON/PoolingLayer.cpp28
-rw-r--r--tests/validation/NEON/RNNLayer.cpp96
-rw-r--r--tests/validation/NEON/Scale.cpp20
10 files changed, 201 insertions, 201 deletions
diff --git a/tests/validation/NEON/ConvolutionLayer.cpp b/tests/validation/NEON/ConvolutionLayer.cpp
index 591d1424c8..1d82ff0712 100644
--- a/tests/validation/NEON/ConvolutionLayer.cpp
+++ b/tests/validation/NEON/ConvolutionLayer.cpp
@@ -75,20 +75,20 @@ TEST_SUITE(NEON)
TEST_SUITE(ConvolutionLayer)
DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(
- framework::dataset::make("InputInfo", { TensorInfo(TensorShape(18U, 18U, 32U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(23U, 27U, 32U, 4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32, 0)
+ framework::dataset::make("InputInfo", { TensorInfo(TensorShape(18U, 18U, 32U), 1, DataType::F32),
+ TensorInfo(TensorShape(23U, 27U, 32U, 4U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32),
+ TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32)
}),
- framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 32U, 21U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(5U, 5U, 32U, 21U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16, 0)
+ framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 32U, 21U), 1, DataType::F32),
+ TensorInfo(TensorShape(5U, 5U, 32U, 21U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32),
+ TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16)
})),
- framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(16U, 16U, 21U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(19U, 23U, 21U, 4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32, 0)
+ framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(16U, 16U, 21U), 1, DataType::F32),
+ TensorInfo(TensorShape(19U, 23U, 21U, 4U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32)
})),
framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0),
PadStrideInfo(1, 1, 0, 0),
diff --git a/tests/validation/NEON/DeconvolutionLayer.cpp b/tests/validation/NEON/DeconvolutionLayer.cpp
index 87d413f202..277953badb 100644
--- a/tests/validation/NEON/DeconvolutionLayer.cpp
+++ b/tests/validation/NEON/DeconvolutionLayer.cpp
@@ -100,33 +100,33 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, (combine(datasets::Sm
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(
- framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Mismatching data type
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid weights shape
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16, 4), // Non supported data type
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 11), // Invalid bias shape
- TensorInfo(TensorShape(13U, 11U, 4U, 3U), 1, DataType::F32, 0), // Window shrink
- TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32, 0),
+ framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid weights shape
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), // Non supported data type
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid bias shape
+ TensorInfo(TensorShape(13U, 11U, 4U, 3U), 1, DataType::F32), // Window shrink
+ TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32),
}),
- framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16, 0),
- TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16, 5),
- TensorInfo(TensorShape(3U, 2U, 2U, 2U), 1, DataType::F32, 11),
- TensorInfo(TensorShape(3U, 3U, 4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32, 0),
+ framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16),
+ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16),
+ TensorInfo(TensorShape(3U, 2U, 2U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 4U), 1, DataType::F32),
+ TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32),
})),
- framework::dataset::make("BiasInfo", { TensorInfo(TensorShape(1U), 1, DataType::F16, 0),
- TensorInfo(TensorShape(1U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(1U), 1, DataType::F32, 5),
- TensorInfo(TensorShape(25U, 11U), 1, DataType::F32, 11),
- TensorInfo(TensorShape(1U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(4U), 1, DataType::F32, 0),
+ framework::dataset::make("BiasInfo", { TensorInfo(TensorShape(1U), 1, DataType::F16),
+ TensorInfo(TensorShape(1U), 1, DataType::F32),
+ TensorInfo(TensorShape(1U), 1, DataType::F32),
+ TensorInfo(TensorShape(25U, 11U), 1, DataType::F32),
+ TensorInfo(TensorShape(1U), 1, DataType::F32),
+ TensorInfo(TensorShape(4U), 1, DataType::F32),
})),
- framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16, 0),
- TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 5),
- TensorInfo(TensorShape(13U, 13U, 2U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 9U, 1U, 3U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32, 0),
+ framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16),
+ TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(13U, 13U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 9U, 1U, 3U), 1, DataType::F32),
+ TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32),
})),
framework::dataset::make("PadStrideInfo", { PadStrideInfo(1, 1, 0, 0),
PadStrideInfo(1, 1, 0, 0),
diff --git a/tests/validation/NEON/DilatedConvolutionLayer.cpp b/tests/validation/NEON/DilatedConvolutionLayer.cpp
index 7cfffc0c2b..25b357ebed 100644
--- a/tests/validation/NEON/DilatedConvolutionLayer.cpp
+++ b/tests/validation/NEON/DilatedConvolutionLayer.cpp
@@ -64,20 +64,20 @@ TEST_SUITE(NEON)
TEST_SUITE(DilatedConvolutionLayer)
DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(
- framework::dataset::make("InputInfo", { TensorInfo(TensorShape(8U, 8U, 2U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32, 0)
+ framework::dataset::make("InputInfo", { TensorInfo(TensorShape(8U, 8U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32),
+ TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32)
}),
- framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16, 0)
+ framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32),
+ TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16)
})),
- framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(6U, 6U, 1U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32, 0)
+ framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(6U, 6U, 1U), 1, DataType::F32),
+ TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32)
})),
framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0),
PadStrideInfo(1, 1, 0, 0),
diff --git a/tests/validation/NEON/DirectConvolutionLayer.cpp b/tests/validation/NEON/DirectConvolutionLayer.cpp
index bf5b33c9a2..acd0e5d64b 100644
--- a/tests/validation/NEON/DirectConvolutionLayer.cpp
+++ b/tests/validation/NEON/DirectConvolutionLayer.cpp
@@ -80,45 +80,45 @@ TEST_SUITE(DirectConvolutionLayer)
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(
- framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Mismatching data type input/weights
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Mismatching input feature maps
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Unsupported kernel width
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Non-rectangular weights dimensions
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid weights dimensions
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid stride
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid biases size
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid biases dimensions
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid output size
+ framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type input/weights
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching input feature maps
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Unsupported kernel width
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Non-rectangular weights dimensions
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid weights dimensions
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid stride
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid biases size
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid biases dimensions
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid output size
}),
- framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16, 0),
- TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(9U, 9U, 2U, 4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0),
+ framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16),
+ TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32),
+ TensorInfo(TensorShape(9U, 9U, 2U, 4U), 1, DataType::F32),
+ TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32),
})),
- framework::dataset::make("BiasesInfo",{ TensorInfo(TensorShape(4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(3U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(4U, 2U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(4U), 1, DataType::F32, 0),
+ framework::dataset::make("BiasesInfo",{ TensorInfo(TensorShape(4U), 1, DataType::F32),
+ TensorInfo(TensorShape(4U), 1, DataType::F32),
+ TensorInfo(TensorShape(4U), 1, DataType::F32),
+ TensorInfo(TensorShape(4U), 1, DataType::F32),
+ TensorInfo(TensorShape(4U), 1, DataType::F32),
+ TensorInfo(TensorShape(4U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U), 1, DataType::F32),
+ TensorInfo(TensorShape(4U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(4U), 1, DataType::F32),
})),
- framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32, 0),
+ framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32),
+ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32),
+ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32),
+ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32),
+ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32),
+ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32),
+ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32),
+ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32),
+ TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32),
})),
framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0),
PadStrideInfo(1, 1, 0, 0),
diff --git a/tests/validation/NEON/GEMMLowp.cpp b/tests/validation/NEON/GEMMLowp.cpp
index eb350e1029..9eba3c85c1 100644
--- a/tests/validation/NEON/GEMMLowp.cpp
+++ b/tests/validation/NEON/GEMMLowp.cpp
@@ -102,7 +102,7 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, framework::dataset::c
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
framework::dataset::make("InputAInfo", { TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), // Input not a multiple of 4
- TensorInfo(TensorShape(21U, 13U), 1, DataType::S32, 2), // Mismatching data type
+ TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), // Mismatching data type
TensorInfo(TensorShape(20U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), // Invalid dimensions
TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), // Invalid dimensions
TensorInfo(TensorShape(16U, 32U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)),
diff --git a/tests/validation/NEON/LocallyConnected.cpp b/tests/validation/NEON/LocallyConnected.cpp
index 0c36ff6c85..bd0999df50 100644
--- a/tests/validation/NEON/LocallyConnected.cpp
+++ b/tests/validation/NEON/LocallyConnected.cpp
@@ -51,41 +51,41 @@ TEST_SUITE(LocallyConnected)
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(
- framework::dataset::make("InputInfo", { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Mismatching data type input/weights
- TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Mismatching data type input/bias
- TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Mismatching data type input/output
- TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Mismatching shape input/weights
- TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Mismatching shape input/bias
- TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Mismatching shape input/output
- TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Asymmetric padding
- TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0)
+ framework::dataset::make("InputInfo", { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/weights
+ TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/bias
+ TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/output
+ TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching shape input/weights
+ TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching shape input/bias
+ TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching shape input/output
+ TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Asymmetric padding
+ TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32)
}),
- framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F16, 0),
- TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(3U, 3U, 5U, 21U, 274U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32, 0)
+ framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F16),
+ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 274U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32)
})),
- framework::dataset::make("BiasInfo", { TensorInfo(TensorShape(21U, 275U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(21U, 275U), 1, DataType::F16, 0),
- TensorInfo(TensorShape(21U, 275U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(21U, 275U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(21U, 274U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(21U, 275U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(21U, 275U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(21U, 275U), 1, DataType::F32, 0)
+ framework::dataset::make("BiasInfo", { TensorInfo(TensorShape(21U, 275U), 1, DataType::F32),
+ TensorInfo(TensorShape(21U, 275U), 1, DataType::F16),
+ TensorInfo(TensorShape(21U, 275U), 1, DataType::F32),
+ TensorInfo(TensorShape(21U, 275U), 1, DataType::F32),
+ TensorInfo(TensorShape(21U, 274U), 1, DataType::F32),
+ TensorInfo(TensorShape(21U, 275U), 1, DataType::F32),
+ TensorInfo(TensorShape(21U, 275U), 1, DataType::F32),
+ TensorInfo(TensorShape(21U, 275U), 1, DataType::F32)
})),
- framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F16, 0),
- TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 25U, 22U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0)
+ framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F16),
+ TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 25U, 22U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32)
})),
framework::dataset::make("PadStride", { PadStrideInfo(2, 1, 0, 0),
PadStrideInfo(2, 1, 0, 0),
diff --git a/tests/validation/NEON/NormalizationLayer.cpp b/tests/validation/NEON/NormalizationLayer.cpp
index 02cca0b452..a4321000f5 100644
--- a/tests/validation/NEON/NormalizationLayer.cpp
+++ b/tests/validation/NEON/NormalizationLayer.cpp
@@ -66,19 +66,19 @@ TEST_SUITE(NormalizationLayer)
// *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, 0), // Mismatching data type input/output
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Mismatching shapes
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Even normalization
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Non implemented IN_MAP_2D
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Window shrink
- TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 0),
+ 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), // Even normalization
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Non implemented IN_MAP_2D
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Window shrink
+ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
}),
- framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16, 0),
- TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 0),
+ framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16),
+ TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32),
+ 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("NormInfo", { NormalizationLayerInfo(NormType::IN_MAP_1D, 5),
NormalizationLayerInfo(NormType::IN_MAP_1D, 5),
diff --git a/tests/validation/NEON/PoolingLayer.cpp b/tests/validation/NEON/PoolingLayer.cpp
index bbfca46ca9..336c066fa9 100644
--- a/tests/validation/NEON/PoolingLayer.cpp
+++ b/tests/validation/NEON/PoolingLayer.cpp
@@ -71,21 +71,21 @@ TEST_SUITE(PoolingLayer)
// *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, 0), // Mismatching data type
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Window shrink
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid pad/size combination
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid pad/size combination
- TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32, 0), // Non-rectangular Global Pooling
- TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, 0), // Invalid output Global Pooling
- TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, 0),
+ framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Window shrink
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid pad/size combination
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid pad/size combination
+ TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32), // Non-rectangular Global Pooling
+ TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), // Invalid output Global Pooling
+ TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32),
}),
- framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16, 0),
- TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0),
+ framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16),
+ TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32),
+ TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32),
+ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
})),
framework::dataset::make("PoolInfo", { PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)),
PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)),
diff --git a/tests/validation/NEON/RNNLayer.cpp b/tests/validation/NEON/RNNLayer.cpp
index 7aa3befd03..a5f84990f2 100644
--- a/tests/validation/NEON/RNNLayer.cpp
+++ b/tests/validation/NEON/RNNLayer.cpp
@@ -49,59 +49,59 @@ TEST_SUITE(RNNLayer)
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(
- framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U), 1, DataType::U8, 0), // Wrong data type
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Wrong input size
- TensorInfo(TensorShape(27U, 13U), 1, DataType::F32, 0), // Wrong weights size
- TensorInfo(TensorShape(27U, 13U), 1, DataType::F32, 0), // Wrong recurrent weights size
- TensorInfo(TensorShape(27U, 13U), 1, DataType::F32, 0), // Wrong bias size
- TensorInfo(TensorShape(27U, 13U), 1, DataType::F32, 0), // Wrong output size
- TensorInfo(TensorShape(27U, 13U), 1, DataType::F32, 0), // Wrong hidden output size
- TensorInfo(TensorShape(32U, 32U), 1, DataType::F32, 0),
+ framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U), 1, DataType::U8), // Wrong data type
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Wrong input size
+ TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Wrong weights size
+ TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Wrong recurrent weights size
+ TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Wrong bias size
+ TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Wrong output size
+ TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Wrong hidden output size
+ TensorInfo(TensorShape(32U, 32U), 1, DataType::F32),
}),
- framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(27U, 11U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(27U, 11U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(27U, 11U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(27U, 11U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(27U, 11U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(27U, 11U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(32U, 32U), 1, DataType::F32, 0),
+ framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(27U, 11U), 1, DataType::F32),
+ TensorInfo(TensorShape(27U, 11U), 1, DataType::F32),
+ TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(27U, 11U), 1, DataType::F32),
+ TensorInfo(TensorShape(27U, 11U), 1, DataType::F32),
+ TensorInfo(TensorShape(27U, 11U), 1, DataType::F32),
+ TensorInfo(TensorShape(27U, 11U), 1, DataType::F32),
+ TensorInfo(TensorShape(32U, 32U), 1, DataType::F32),
})),
- framework::dataset::make("RecurrentWeightsInfo", { TensorInfo(TensorShape(11U, 11U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 11U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 11U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 11U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 11U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 11U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(32U, 32U), 1, DataType::F32, 0),
+ framework::dataset::make("RecurrentWeightsInfo", { TensorInfo(TensorShape(11U, 11U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 11U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 11U), 1, DataType::F32),
+ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 11U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 11U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 11U), 1, DataType::F32),
+ TensorInfo(TensorShape(32U, 32U), 1, DataType::F32),
})),
- framework::dataset::make("BiasInfo", { TensorInfo(TensorShape(11U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(30U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(32U), 1, DataType::F32, 0),
+ framework::dataset::make("BiasInfo", { TensorInfo(TensorShape(11U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U), 1, DataType::F32),
+ TensorInfo(TensorShape(30U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U), 1, DataType::F32),
+ TensorInfo(TensorShape(32U), 1, DataType::F32),
})),
- framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(32U, 32U), 1, DataType::F32, 0),
+ framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),
+ TensorInfo(TensorShape(32U, 32U), 1, DataType::F32),
})),
- framework::dataset::make("HiddenStateInfo", { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(11U, 13U, 2U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(32U, 32U), 1, DataType::F32, 0),
+ framework::dataset::make("HiddenStateInfo", { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),
+ TensorInfo(TensorShape(11U, 13U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(32U, 32U), 1, DataType::F32),
})),
framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
diff --git a/tests/validation/NEON/Scale.cpp b/tests/validation/NEON/Scale.cpp
index 5f5cfdd808..0d4a86e372 100644
--- a/tests/validation/NEON/Scale.cpp
+++ b/tests/validation/NEON/Scale.cpp
@@ -77,17 +77,17 @@ TEST_SUITE(Scale)
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(
- framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8, 0), // Mismatching data type
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Unsupported sampling point
- TensorInfo(TensorShape(4U, 27U, 13U), 1, DataType::F32, 0), // Invalid policy
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Insufficient padding
- TensorInfo(TensorShape(4U, 27U, 13U), 1, DataType::F32, 0),
+ framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), // Mismatching data type
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Unsupported sampling point
+ TensorInfo(TensorShape(4U, 27U, 13U), 1, DataType::F32), // Invalid policy
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Insufficient padding
+ TensorInfo(TensorShape(4U, 27U, 13U), 1, DataType::F32),
}),
- framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(4U, 132U, 25U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32, 0),
- TensorInfo(TensorShape(4U, 132U, 25U), 1, DataType::F32, 0),
+ framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(4U, 132U, 25U), 1, DataType::F32),
+ TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(4U, 132U, 25U), 1, DataType::F32),
})),
framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR,
InterpolationPolicy::NEAREST_NEIGHBOR,
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-02 08:33:26 +0000