diff options
| author | Vidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com> | 2018-07-04 09:34:00 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:10 +0000 |
| commit | 7485d5a62685cb745ab50e970adb722cb71557ac (patch) | |
| tree | ba01b99ca466c93edc9a3f8c1e34394ff84be060 /tests/validation/NEON/RNNLayer.cpp | |
| parent | 014333d73883c3872e458cedda5ccef586a7ccd4 (diff) | |
| download | ComputeLibrary-7485d5a62685cb745ab50e970adb722cb71557ac.tar.gz | |
COMPMID-970 : Remove QS8 / QS16 support
Removed fixed point related code.
Change-Id: I487acf138dace3b0450e0d72ca7071eaec254566
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/137678
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'tests/validation/NEON/RNNLayer.cpp')
| -rw-r--r-- | tests/validation/NEON/RNNLayer.cpp | 96 |
1 files changed, 48 insertions, 48 deletions
diff --git a/tests/validation/NEON/RNNLayer.cpp b/tests/validation/NEON/RNNLayer.cpp index 7aa3befd03..a5f84990f2 100644 --- a/tests/validation/NEON/RNNLayer.cpp +++ b/tests/validation/NEON/RNNLayer.cpp @@ -49,59 +49,59 @@ TEST_SUITE(RNNLayer) // *INDENT-OFF* // clang-format off DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip( - framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U), 1, DataType::U8, 0), // Wrong data type - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Wrong input size - TensorInfo(TensorShape(27U, 13U), 1, DataType::F32, 0), // Wrong weights size - TensorInfo(TensorShape(27U, 13U), 1, DataType::F32, 0), // Wrong recurrent weights size - TensorInfo(TensorShape(27U, 13U), 1, DataType::F32, 0), // Wrong bias size - TensorInfo(TensorShape(27U, 13U), 1, DataType::F32, 0), // Wrong output size - TensorInfo(TensorShape(27U, 13U), 1, DataType::F32, 0), // Wrong hidden output size - TensorInfo(TensorShape(32U, 32U), 1, DataType::F32, 0), + framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U), 1, DataType::U8), // Wrong data type + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Wrong input size + TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Wrong weights size + TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Wrong recurrent weights size + TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Wrong bias size + TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Wrong output size + TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Wrong hidden output size + TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), }), - framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(27U, 11U), 1, DataType::F32, 0), - TensorInfo(TensorShape(27U, 11U), 1, DataType::F32, 0), - TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32, 0), - TensorInfo(TensorShape(27U, 11U), 1, DataType::F32, 0), - TensorInfo(TensorShape(27U, 11U), 1, DataType::F32, 0), - TensorInfo(TensorShape(27U, 11U), 1, DataType::F32, 0), - TensorInfo(TensorShape(27U, 11U), 1, DataType::F32, 0), - TensorInfo(TensorShape(32U, 32U), 1, DataType::F32, 0), + framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), + TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), + TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), + TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), + TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), + TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), - framework::dataset::make("RecurrentWeightsInfo", { TensorInfo(TensorShape(11U, 11U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U, 11U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U, 11U), 1, DataType::F32, 0), - TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U, 11U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U, 11U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U, 11U), 1, DataType::F32, 0), - TensorInfo(TensorShape(32U, 32U), 1, DataType::F32, 0), + framework::dataset::make("RecurrentWeightsInfo", { TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), + TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), - framework::dataset::make("BiasInfo", { TensorInfo(TensorShape(11U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U), 1, DataType::F32, 0), - TensorInfo(TensorShape(30U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U), 1, DataType::F32, 0), - TensorInfo(TensorShape(32U), 1, DataType::F32, 0), + framework::dataset::make("BiasInfo", { TensorInfo(TensorShape(11U), 1, DataType::F32), + TensorInfo(TensorShape(11U), 1, DataType::F32), + TensorInfo(TensorShape(11U), 1, DataType::F32), + TensorInfo(TensorShape(11U), 1, DataType::F32), + TensorInfo(TensorShape(30U), 1, DataType::F32), + TensorInfo(TensorShape(11U), 1, DataType::F32), + TensorInfo(TensorShape(11U), 1, DataType::F32), + TensorInfo(TensorShape(32U), 1, DataType::F32), })), - framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), - TensorInfo(TensorShape(32U, 32U), 1, DataType::F32, 0), + framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), + TensorInfo(TensorShape(11U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), - framework::dataset::make("HiddenStateInfo", { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U, 13U, 2U), 1, DataType::F32, 0), - TensorInfo(TensorShape(32U, 32U), 1, DataType::F32, 0), + framework::dataset::make("HiddenStateInfo", { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |