diff options
Diffstat (limited to 'tests/validation/CL/DirectConvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/CL/DirectConvolutionLayer.cpp | 11 |
1 files changed, 8 insertions, 3 deletions
diff --git a/tests/validation/CL/DirectConvolutionLayer.cpp b/tests/validation/CL/DirectConvolutionLayer.cpp index 4b747d64f7..e2e1b6abef 100644 --- a/tests/validation/CL/DirectConvolutionLayer.cpp +++ b/tests/validation/CL/DirectConvolutionLayer.cpp @@ -92,7 +92,8 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid biases size TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid biases dimensions TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid output size - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Window shrink + TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32, 0), }), framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16, 0), TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32, 0), @@ -104,6 +105,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), + TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32, 0), })), framework::dataset::make("BiasesInfo",{ TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), @@ -115,6 +117,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( TensorInfo(TensorShape(4U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), + TensorInfo(TensorShape(4U), 1, DataType::F32, 0), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), @@ -126,6 +129,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), + TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32, 0), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), @@ -137,11 +141,12 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), + PadStrideInfo(1, 1, 0, 0), })), - framework::dataset::make("Expected", { true, true, true, true, true, true, true, true, true, false })), + framework::dataset::make("Expected", { true, true, true, true, true, true, true, true, true, true, false })), input_info, weights_info, biases_info, output_info, conv_info, expected) { - bool is_error = bool(CLDirectConvolutionLayer::validate(&input_info, &weights_info, &biases_info, &output_info, conv_info)); + bool is_error = bool(CLDirectConvolutionLayer::validate(&input_info.clone()->set_is_resizable(false), &weights_info.clone()->set_is_resizable(false), &biases_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), conv_info)); ARM_COMPUTE_EXPECT(is_error == expected, framework::LogLevel::ERRORS); } // clang-format on |