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| author | Michalis Spyrou <michalis.spyrou@arm.com> | 2017-11-30 14:25:57 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:42:17 +0000 |
| commit | afa5d817b1d083837cd7ea30d32f845d82620c12 (patch) | |
| tree | 1ca2a27ab7108b7137b96fc1547a8b5ac5d9c8f7 /tests/validation/NEON/NormalizationLayer.cpp | |
| parent | 631c41a4e3645a948b0f597caa77e8fa91ca0efc (diff) | |
| download | ComputeLibrary-afa5d817b1d083837cd7ea30d32f845d82620c12.tar.gz | |
COMPMID-617 Add validation methods to Kernels
- NEActivationLayer
- NESoftmax
- NEDirectConvolutionLayer
- NENormalizationLayer
- NEPoolingLayer
Change-Id: Ib279f1c1b7f9247679b0d6593aed7393da8fe87b
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/111335
Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'tests/validation/NEON/NormalizationLayer.cpp')
| -rw-r--r-- | tests/validation/NEON/NormalizationLayer.cpp | 36 |
1 files changed, 36 insertions, 0 deletions
diff --git a/tests/validation/NEON/NormalizationLayer.cpp b/tests/validation/NEON/NormalizationLayer.cpp index 3afa52cb4c..4d504a8972 100644 --- a/tests/validation/NEON/NormalizationLayer.cpp +++ b/tests/validation/NEON/NormalizationLayer.cpp @@ -66,6 +66,42 @@ TEST_SUITE(NormalizationLayer) //TODO(COMPMID-415): Missing configuration? +// *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::QS8, 4), // Mismatching fixed point position + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Window shrink + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 0), + }), + 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::QS8, 3), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 0), + })), + framework::dataset::make("NormInfo", { NormalizationLayerInfo(NormType::IN_MAP_1D, 5), + NormalizationLayerInfo(NormType::IN_MAP_1D, 5), + NormalizationLayerInfo(NormType::IN_MAP_1D, 4), + NormalizationLayerInfo(NormType::IN_MAP_2D, 5), + NormalizationLayerInfo(NormType::IN_MAP_1D, 5), + NormalizationLayerInfo(NormType::IN_MAP_1D, 5), + NormalizationLayerInfo(NormType::CROSS_MAP, 1), + })), + framework::dataset::make("Expected", { false, false, false, false, false, false, true })), + input_info, output_info, norm_info, expected) +{ + bool is_valid = bool(NENormalizationLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), norm_info)); + ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); +} +// clang-format on +// *INDENT-ON* + template <typename T> using NENormalizationLayerFixture = NormalizationValidationFixture<Tensor, Accessor, NENormalizationLayer, T>; |