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| author | Pablo Tello <pablo.tello@arm.com> | 2017-06-28 10:05:29 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-09-17 14:15:39 +0100 |
| commit | dcdc85ef876e854749db58ecd60c37f64a627536 (patch) | |
| tree | 8af2006f14a8b32eb1aced14def96afab89c5981 /tests/validation/NEON/FullyConnectedLayer.cpp | |
| parent | fc95ed2b9900471922d93c963b263f1f506da167 (diff) | |
| download | ComputeLibrary-dcdc85ef876e854749db58ecd60c37f64a627536.tar.gz | |
COMPMID-421: Added F16 support in FC Layer.
Change-Id: I9c3ab51ae024be69c7b1d83803b1a8f60a0cdbfd
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/79326
Reviewed-by: Moritz Pflanzer <moritz.pflanzer@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'tests/validation/NEON/FullyConnectedLayer.cpp')
| -rw-r--r-- | tests/validation/NEON/FullyConnectedLayer.cpp | 24 |
1 files changed, 23 insertions, 1 deletions
diff --git a/tests/validation/NEON/FullyConnectedLayer.cpp b/tests/validation/NEON/FullyConnectedLayer.cpp index 87e0071007..fa962787d1 100644 --- a/tests/validation/NEON/FullyConnectedLayer.cpp +++ b/tests/validation/NEON/FullyConnectedLayer.cpp @@ -45,6 +45,9 @@ namespace { const float tolerance_f32 = 1e-03f; /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ const float tolerance_q = 1.0f; /**< Tolerance value for comparing reference's output against implementation's output for fixed point data types */ +#ifdef ARM_COMPUTE_ENABLE_FP16 +const float tolerance_f16 = 0.01f; /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ +#endif /*ARM_COMPUTE_ENABLE_FP16*/ Tensor compute_fully_connected_layer(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape, DataType dt, bool transpose_weights, int fixed_point_position) @@ -82,7 +85,7 @@ Tensor compute_fully_connected_layer(const TensorShape &input_shape, const Tenso BOOST_TEST(!dst.info()->is_resizable()); // Fill tensors - if(dt == DataType::F32) + if(dt == DataType::F16 || dt == DataType::F32) { std::uniform_real_distribution<> distribution(-1.0f, 1.0f); library->fill(NEAccessor(src), distribution, 0); @@ -153,6 +156,25 @@ BOOST_DATA_TEST_CASE(Configuration, validate(dst.info()->valid_region(), dst_valid_region); } +#ifdef ARM_COMPUTE_ENABLE_FP16 +BOOST_AUTO_TEST_SUITE(Float16) +BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) +BOOST_DATA_TEST_CASE(RunSmall, + SmallFullyConnectedLayerDataset() * boost::unit_test::data::make({ DataType::F16 }), + fc_set, dt) +{ + // Compute function + Tensor dst = compute_fully_connected_layer(fc_set.src_shape, fc_set.weights_shape, fc_set.bias_shape, fc_set.dst_shape, dt, fc_set.transpose_weights, 0); + + // Compute reference + RawTensor ref_dst = Reference::compute_reference_fully_connected_layer(fc_set.src_shape, fc_set.weights_shape, fc_set.bias_shape, fc_set.dst_shape, dt, fc_set.transpose_weights, 0); + + // Validate output + validate(NEAccessor(dst), ref_dst, tolerance_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, |