diff options
Diffstat (limited to 'tests/validation/CL/PoolingLayer.cpp')
| -rw-r--r-- | tests/validation/CL/PoolingLayer.cpp | 32 |
1 files changed, 16 insertions, 16 deletions
diff --git a/tests/validation/CL/PoolingLayer.cpp b/tests/validation/CL/PoolingLayer.cpp index 0b8a11fe5d..133152219f 100644 --- a/tests/validation/CL/PoolingLayer.cpp +++ b/tests/validation/CL/PoolingLayer.cpp @@ -65,23 +65,23 @@ TEST_SUITE(PoolingLayer) // *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 - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Window shrink - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid pad/size combination - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid pad/size combination - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8, 0), // Invalid parameters - TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32, 0), // Non-rectangular Global Pooling - TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, 0), // Invalid output Global Pooling - TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, 0), + framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Window shrink + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid pad/size combination + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid pad/size combination + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), // Invalid parameters + TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32), // Non-rectangular Global Pooling + TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), // Invalid output Global Pooling + TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), }), - framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16, 0), - TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), - TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32, 0), - TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32, 0), - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8, 0), - TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32, 0), - TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32, 0), - TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32, 0), + framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), + TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), + TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), + TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32), + TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), })), framework::dataset::make("PoolInfo", { PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), |