diff options
Diffstat (limited to 'tests/validation/CL/DeconvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/CL/DeconvolutionLayer.cpp | 32 |
1 files changed, 9 insertions, 23 deletions
diff --git a/tests/validation/CL/DeconvolutionLayer.cpp b/tests/validation/CL/DeconvolutionLayer.cpp index db93bebde1..f8a677cb34 100644 --- a/tests/validation/CL/DeconvolutionLayer.cpp +++ b/tests/validation/CL/DeconvolutionLayer.cpp @@ -72,60 +72,46 @@ TEST_SUITE(DeconvolutionLayer) // *INDENT-OFF* // clang-format off -DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip( +DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid weights shape + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), // Non supported data type TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid bias shape TensorInfo(TensorShape(13U, 11U, 4U, 3U), 1, DataType::F32), // Window shrink - TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), // Inner border different from 0 TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 2U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 4U), 1, DataType::F32), - TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make("BiasInfo", { TensorInfo(TensorShape(1U), 1, DataType::F16), TensorInfo(TensorShape(1U), 1, DataType::F32), + TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), - TensorInfo(TensorShape(4U), 1, DataType::S32), - TensorInfo(TensorShape(4U), 1, DataType::S32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 9U, 1U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), - TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make("PadStrideInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), - PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 0, 0), + PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 0, 0), })), - framework::dataset::make("ax", { 0U, - 0U, - 0U, - 0U, - 0U, - })), - framework::dataset::make("ay", { 0U, - 0U, - 0U, - 0U, - 1U, - 0U, - })), - framework::dataset::make("Expected", { false, false, false, false, true, true })), - input_info, weights_info, bias_info, output_info, pad_info, ax, ay, expected) + framework::dataset::make("Expected", { false, false, false, false, false, true })), + input_info, weights_info, bias_info, output_info, pad_info, expected) { - bool is_valid = bool(CLDeconvolutionLayer::validate(&input_info.clone()->set_is_resizable(false), &weights_info.clone()->set_is_resizable(false), &bias_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), pad_info, ax, ay)); + bool is_valid = bool(CLDeconvolutionLayer::validate(&input_info.clone()->set_is_resizable(false), &weights_info.clone()->set_is_resizable(false), &bias_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), pad_info)); ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); } // clang-format on |