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Diffstat (limited to 'tests/validation/CL/RNNLayer.cpp')
-rw-r--r--tests/validation/CL/RNNLayer.cpp84
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),
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-10 20:36:09 +0000