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| author | Pablo Tello <pablo.tello@arm.com> | 2017-07-03 16:25:09 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-09-17 14:15:39 +0100 |
| commit | df24618b53cffed1c574e11e9fd4ba7740f8c009 (patch) | |
| tree | 1f1145bca27c5dd0ca63538c2e8cdadd2b0a03cf /tests/validation/NEON/NormalizationLayer.cpp | |
| parent | d1b0ecc206e3858327503888c4a46842ec1808e9 (diff) | |
| download | ComputeLibrary-df24618b53cffed1c574e11e9fd4ba7740f8c009.tar.gz | |
COMPMID-421: Added FP16 suppot to NENormalizationLayer and NEPixelWiseMultiplication.
Change-Id: If174f8071502fc5cc94b27cd44a9b1d5e451a9e2
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/79553
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@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 | 25 |
1 files changed, 25 insertions, 0 deletions
diff --git a/tests/validation/NEON/NormalizationLayer.cpp b/tests/validation/NEON/NormalizationLayer.cpp index a8ba7dac55..60c2646b77 100644 --- a/tests/validation/NEON/NormalizationLayer.cpp +++ b/tests/validation/NEON/NormalizationLayer.cpp @@ -52,6 +52,8 @@ float normalization_layer_tolerance(DataType dt) { case DataType::QS8: return 2.0f; + case DataType::F16: + return 0.001f; case DataType::F32: return 1e-05; default: @@ -108,6 +110,29 @@ Tensor compute_normalization_layer(const TensorShape &shape, DataType dt, Normal BOOST_AUTO_TEST_SUITE(NEON) BOOST_AUTO_TEST_SUITE(NormalizationLayer) +#ifdef ARM_COMPUTE_ENABLE_FP16 +BOOST_AUTO_TEST_SUITE(Float16) +BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) +BOOST_DATA_TEST_CASE(RunSmall, + SmallShapes() * DataType::F16 *NormalizationTypes() * boost::unit_test::data::xrange(3, 9, 2) * boost::unit_test::data::make({ 0.5f, 1.0f, 2.0f }), + shape, dt, norm_type, norm_size, beta) +{ + // Provide normalization layer information + NormalizationLayerInfo norm_info(norm_type, norm_size, 5, beta); + + // Compute function + Tensor dst = compute_normalization_layer(shape, dt, norm_info); + + // Compute reference + RawTensor ref_dst = Reference::compute_reference_normalization_layer(shape, dt, norm_info); + + // Validate output + validate(NEAccessor(dst), ref_dst, normalization_layer_tolerance(DataType::F16)); +} + +BOOST_AUTO_TEST_SUITE_END() +#endif /* ARM_COMPUTE_ENABLE_FP16 */ + BOOST_AUTO_TEST_SUITE(Float) BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) BOOST_DATA_TEST_CASE(RunSmall, |