diff options
Diffstat (limited to 'tests/validation/CL/RNNLayer.cpp')
-rw-r--r-- | tests/validation/CL/RNNLayer.cpp | 84 |
1 files changed, 42 insertions, 42 deletions
diff --git a/tests/validation/CL/RNNLayer.cpp b/tests/validation/CL/RNNLayer.cpp index 0af6f8ea00..9179c0955c 100644 --- a/tests/validation/CL/RNNLayer.cpp +++ b/tests/validation/CL/RNNLayer.cpp @@ -49,53 +49,53 @@ 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 + 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 }), - 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), + 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), })), - 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), + 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), })), - 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), + 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), })), - 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), + 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), })), - 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), + 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), })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |