diff options
Diffstat (limited to 'tests/validation/CL')
-rw-r--r-- | tests/validation/CL/BatchToSpaceLayer.cpp | 19 |
1 files changed, 15 insertions, 4 deletions
diff --git a/tests/validation/CL/BatchToSpaceLayer.cpp b/tests/validation/CL/BatchToSpaceLayer.cpp index e36663e73d..30b7817f40 100644 --- a/tests/validation/CL/BatchToSpaceLayer.cpp +++ b/tests/validation/CL/BatchToSpaceLayer.cpp @@ -52,21 +52,28 @@ using CLBatchToSpaceLayerFixture = BatchToSpaceLayerValidationFixture<CLTensor, // clang-format off DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(16U, 8U, 2U, 16U), 1, DataType::F32), // blockx != blocky && blockx > blocky + TensorInfo(TensorShape(16U, 8U, 2U, 16U), 1, DataType::F32), // blockx != blocky && blocky > blockx TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), // Mismatching data types TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), // Wrong data type block shape TensorInfo(TensorShape(32U, 13U, 2U, 2U, 4U), 1, DataType::F32), // Wrong tensor shape }), framework::dataset::make("BlockShapeInfo",{ TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), + TensorInfo(TensorShape(2U, 4U), 1, DataType::S32), + TensorInfo(TensorShape(4U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(64U, 16U, 2U, 1U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 32U, 2U, 1U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), })), - framework::dataset::make("Expected", { true, false, false, false})), + framework::dataset::make("Expected", { true, true,true, false, false, false})), input_info, block_shape_info, output_info, expected) { bool has_error = bool(CLBatchToSpaceLayer::validate(&input_info.clone()->set_is_resizable(false), &block_shape_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))); @@ -74,18 +81,22 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( } DATA_TEST_CASE(ValidateStatic, framework::DatasetMode::ALL, zip(zip(zip(zip( framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(16U, 8U, 2U, 16U), 1, DataType::F32), // blockx != blocky && blockx > blocky + TensorInfo(TensorShape(16U, 8U, 2U, 16U), 1, DataType::F32), // blockx != blocky && blocky > blockx TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), // Mismatching data types TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), // Negative block shapes TensorInfo(TensorShape(32U, 16U, 2U, 4U, 4U), 1, DataType::F32), // Wrong tensor shape }), - framework::dataset::make("BlockShapeX", { 2, 2, 2, 2 })), - framework::dataset::make("BlockShapeY", { 2, 2, -2, 2 })), + framework::dataset::make("BlockShapeX", { 2, 4, 2, 2, 2, 2 })), + framework::dataset::make("BlockShapeY", { 2, 2, 4, 2, -2, 2 })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), + TensorInfo(TensorShape(64U, 16U, 2U, 1U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 32U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F16), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 1U), 1, DataType::F32), })), - framework::dataset::make("Expected", { true, false, false, false})), + framework::dataset::make("Expected", { true, true,true, false, false, false})), input_info, block_shape_x, block_shape_y, output_info, expected) { bool has_error = bool(CLBatchToSpaceLayer::validate(&input_info.clone()->set_is_resizable(false), block_shape_x, block_shape_y, &output_info.clone()->set_is_resizable(false))); |