diff options
Diffstat (limited to 'tests/validation/NEON/DirectConvolutionLayer.cpp')
-rw-r--r-- | tests/validation/NEON/DirectConvolutionLayer.cpp | 72 |
1 files changed, 36 insertions, 36 deletions
diff --git a/tests/validation/NEON/DirectConvolutionLayer.cpp b/tests/validation/NEON/DirectConvolutionLayer.cpp index bf5b33c9a2..acd0e5d64b 100644 --- a/tests/validation/NEON/DirectConvolutionLayer.cpp +++ b/tests/validation/NEON/DirectConvolutionLayer.cpp @@ -80,45 +80,45 @@ TEST_SUITE(DirectConvolutionLayer) // *INDENT-OFF* // clang-format off DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip( - framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Mismatching data type input/weights - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Mismatching input feature maps - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Unsupported kernel width - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Non-rectangular weights dimensions - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid weights dimensions - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid stride - 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 + framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type input/weights + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching input feature maps + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Unsupported kernel width + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Non-rectangular weights dimensions + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid weights dimensions + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid stride + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid biases size + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid biases dimensions + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid output size }), - framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16, 0), - TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32, 0), - TensorInfo(TensorShape(9U, 9U, 2U, 4U), 1, DataType::F32, 0), - TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32, 0), - TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 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(3U, 3U, 2U, 4U), 1, DataType::F32, 0), - TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), + framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16), + TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(9U, 9U, 2U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32), + TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), })), - framework::dataset::make("BiasesInfo",{ TensorInfo(TensorShape(4U), 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), - TensorInfo(TensorShape(4U), 1, DataType::F32, 0), - TensorInfo(TensorShape(4U), 1, DataType::F32, 0), - TensorInfo(TensorShape(3U), 1, DataType::F32, 0), - TensorInfo(TensorShape(4U, 2U), 1, DataType::F32, 0), - TensorInfo(TensorShape(4U), 1, DataType::F32, 0), + framework::dataset::make("BiasesInfo",{ TensorInfo(TensorShape(4U), 1, DataType::F32), + TensorInfo(TensorShape(4U), 1, DataType::F32), + TensorInfo(TensorShape(4U), 1, DataType::F32), + TensorInfo(TensorShape(4U), 1, DataType::F32), + TensorInfo(TensorShape(4U), 1, DataType::F32), + TensorInfo(TensorShape(4U), 1, DataType::F32), + TensorInfo(TensorShape(3U), 1, DataType::F32), + TensorInfo(TensorShape(4U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(4U), 1, DataType::F32), })), - framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), - TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), - TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), - TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), - TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), - TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), - TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), - TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), - TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32, 0), + framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), |