diff options
Diffstat (limited to 'tests/validation/CL/NormalizationLayer.cpp')
| -rw-r--r-- | tests/validation/CL/NormalizationLayer.cpp | 24 |
1 files changed, 12 insertions, 12 deletions
diff --git a/tests/validation/CL/NormalizationLayer.cpp b/tests/validation/CL/NormalizationLayer.cpp index a2dbaff272..e640e01079 100644 --- a/tests/validation/CL/NormalizationLayer.cpp +++ b/tests/validation/CL/NormalizationLayer.cpp @@ -71,19 +71,19 @@ TEST_SUITE(NormalizationLayer) // *INDENT-OFF* // clang-format off DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( - framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Mismatching data type input/output - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Mismatching shapes - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Even normalization - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Non implemented IN_MAP_2D - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Window shrink - TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 0), + framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type input/output + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching shapes + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Even normalization + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Non implemented IN_MAP_2D + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Window shrink + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), - framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16, 0), - TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32, 0), - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), - TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 0), + framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), + TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make("NormInfo", { NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), |