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| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2017-11-03 19:01:44 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
| commit | f9d3a0a12ede4db89348fd924274c9acc6809bb2 (patch) | |
| tree | 73080e4a230c4db248d6f9e16181eab09c8168dc /tests/validation/CL/BatchNormalizationLayer.cpp | |
| parent | d6afedc775220f17317f1835a4d18b72a54525de (diff) | |
| download | ComputeLibrary-f9d3a0a12ede4db89348fd924274c9acc6809bb2.tar.gz | |
COMPMID-617: Add validation functions.
Added validation routines to the following kernels.
-CLActivationLayer
-CLBatchNormalizationLayer
-CLArithmeticAddition
-CLArithmeticSubtraction
-CLPixelwiseMultiplication
Change-Id: I0f3a03154f9e392279f715af656683cd0ad4cef5
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/94595
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'tests/validation/CL/BatchNormalizationLayer.cpp')
| -rw-r--r-- | tests/validation/CL/BatchNormalizationLayer.cpp | 37 |
1 files changed, 37 insertions, 0 deletions
diff --git a/tests/validation/CL/BatchNormalizationLayer.cpp b/tests/validation/CL/BatchNormalizationLayer.cpp index 69f8d7b635..c29a400402 100644 --- a/tests/validation/CL/BatchNormalizationLayer.cpp +++ b/tests/validation/CL/BatchNormalizationLayer.cpp @@ -78,6 +78,43 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Ran validate(dst.info()->valid_region(), valid_region); } +// *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), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data types + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data types + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid mean/var/beta/gamma shape + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2), // Mismatching fixed point position + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2), + }), + framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 3), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2), + })), + framework::dataset::make("MVBGInfo",{ TensorInfo(TensorShape(2U), 1, DataType::F32), + TensorInfo(TensorShape(2U), 1, DataType::F16), + TensorInfo(TensorShape(2U), 1, DataType::F32), + TensorInfo(TensorShape(5U), 1, DataType::F32), + TensorInfo(TensorShape(2U), 1, DataType::QS8, 2), + TensorInfo(TensorShape(2U), 1, DataType::QS8, 2), + })), + framework::dataset::make("Expected", { false, true, true, true, true, false})), + input_info, output_info, mvbg_info, expected) +{ + auto mean_info = mvbg_info; + auto var_info = mvbg_info; + auto beta_info = mvbg_info; + auto gamma_info = mvbg_info; + bool has_error = bool(CLBatchNormalizationLayer::validate(&input_info, &output_info, &mean_info, &var_info, &beta_info, &gamma_info, 1.f)); + ARM_COMPUTE_EXPECT(has_error == expected, framework::LogLevel::ERRORS); +} +// clang-format on +// *INDENT-ON* + TEST_SUITE(Float) TEST_SUITE(FP32) FIXTURE_DATA_TEST_CASE(Random, CLBatchNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::RandomBatchNormalizationLayerDataset(), |