diff options
Diffstat (limited to 'tests/validation/CL/LocallyConnected.cpp')
-rw-r--r-- | tests/validation/CL/LocallyConnected.cpp | 64 |
1 files changed, 32 insertions, 32 deletions
diff --git a/tests/validation/CL/LocallyConnected.cpp b/tests/validation/CL/LocallyConnected.cpp index d8f236cb12..5381072131 100644 --- a/tests/validation/CL/LocallyConnected.cpp +++ b/tests/validation/CL/LocallyConnected.cpp @@ -52,41 +52,41 @@ TEST_SUITE(LocallyConnected) // *INDENT-OFF* // clang-format off DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( - framework::dataset::make("InputInfo", { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Mismatching data type input/weights - TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Mismatching data type input/bias - TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Mismatching data type input/output - TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Mismatching shape input/weights - TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Mismatching shape input/bias - TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Mismatching shape input/output - TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Asymmetric padding - TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0) + framework::dataset::make("InputInfo", { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/weights + TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/bias + TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/output + TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching shape input/weights + TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching shape input/bias + TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching shape input/output + TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Asymmetric padding + TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32) }), - framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F16, 0), - TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32, 0), - TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32, 0), - TensorInfo(TensorShape(3U, 3U, 5U, 21U, 274U), 1, DataType::F32, 0), - TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32, 0), - TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32, 0), - TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32, 0), - TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32, 0) + framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F16), + TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), + TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), + TensorInfo(TensorShape(3U, 3U, 5U, 21U, 274U), 1, DataType::F32), + TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), + TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), + TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), + TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32) })), - framework::dataset::make("BiasInfo", { TensorInfo(TensorShape(21U, 275U), 1, DataType::F32, 0), - TensorInfo(TensorShape(21U, 275U), 1, DataType::F16, 0), - TensorInfo(TensorShape(21U, 275U), 1, DataType::F32, 0), - TensorInfo(TensorShape(21U, 275U), 1, DataType::F32, 0), - TensorInfo(TensorShape(21U, 274U), 1, DataType::F32, 0), - TensorInfo(TensorShape(21U, 275U), 1, DataType::F32, 0), - TensorInfo(TensorShape(21U, 275U), 1, DataType::F32, 0), - TensorInfo(TensorShape(21U, 275U), 1, DataType::F32, 0) + framework::dataset::make("BiasInfo", { TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), + TensorInfo(TensorShape(21U, 275U), 1, DataType::F16), + TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), + TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), + TensorInfo(TensorShape(21U, 274U), 1, DataType::F32), + TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), + TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), + TensorInfo(TensorShape(21U, 275U), 1, DataType::F32) })), - framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F16, 0), - TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U, 25U, 22U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0) + framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F16), + TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 25U, 22U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32) })), framework::dataset::make("PadStride", { PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), |