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| author | Giorgio Arena <giorgio.arena@arm.com> | 2017-11-27 15:50:10 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:41:36 +0000 |
| commit | 7062382af52ee9b79576a0a962b5f5b9088b3bae (patch) | |
| tree | 6b09e9aa31c1b85600c4f8f00fddae71a3202678 /tests/validation/CL/BatchNormalizationLayer.cpp | |
| parent | c000fb86c1462d9297d57ed4a5c92c210a869834 (diff) | |
| download | ComputeLibrary-7062382af52ee9b79576a0a962b5f5b9088b3bae.tar.gz | |
COMPMID-617 Add validation window to BatchNormalization, PixelwiseMultiplication, ArithmeticOps
Change-Id: I306bd23fcd9b7eb7a248dc762aae899b28300b90
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/110763
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>
Reviewed-by: Ioan-Cristian Szabo <ioan-cristian.szabo@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 | 40 |
1 files changed, 23 insertions, 17 deletions
diff --git a/tests/validation/CL/BatchNormalizationLayer.cpp b/tests/validation/CL/BatchNormalizationLayer.cpp index 6884131582..4976c1c1a6 100644 --- a/tests/validation/CL/BatchNormalizationLayer.cpp +++ b/tests/validation/CL/BatchNormalizationLayer.cpp @@ -81,35 +81,41 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Ran // *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("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Window shrink + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching data types + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching data types + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Invalid mean/var/beta/gamma shape + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), // Mismatching fixed point position + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), }), - framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), + framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 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), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), + TensorInfo(), })), framework::dataset::make("MVBGInfo",{ TensorInfo(TensorShape(2U), 1, DataType::F32), + 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), + TensorInfo(TensorShape(2U), 1, DataType::QS8, 2), })), - framework::dataset::make("Expected", { false, true, true, true, true, false})), + framework::dataset::make("Expected", { false, true, true, true, true, true, false, 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)); + const auto &mean_info = mvbg_info; + const auto &var_info = mvbg_info; + const auto &beta_info = mvbg_info; + const auto &gamma_info = mvbg_info; + bool has_error = bool(CLBatchNormalizationLayer::validate(&input_info.clone()->set_is_resizable(false), (output_info.total_size() == 0) ? nullptr : &output_info.clone()->set_is_resizable(false), &mean_info.clone()->set_is_resizable(false), &var_info.clone()->set_is_resizable(false), &beta_info.clone()->set_is_resizable(false), &gamma_info.clone()->set_is_resizable(false), 1.f)); ARM_COMPUTE_EXPECT(has_error == expected, framework::LogLevel::ERRORS); } // clang-format on |