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| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2017-11-14 15:32:57 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
| commit | 30902ed3befd225cb3a6915223d0941949b8d265 (patch) | |
| tree | 6f701094ae52e8e4dc41b993febbff404e660c82 /tests/validation/CL/DirectConvolutionLayer.cpp | |
| parent | 77f0f879f8a9371e50fb1c5b2b5f7252b839883c (diff) | |
| download | ComputeLibrary-30902ed3befd225cb3a6915223d0941949b8d265.tar.gz | |
COMPMID-617: Add validation methods to ML CL functions.
Adds validation support to:
- CLDirectConvolution
- CLNormalizationLayer
- CLSoftmaxLayer
Change-Id: I9bd1e925e6db057c799169405f82ed21d20b87ee
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/95939
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Diffstat (limited to 'tests/validation/CL/DirectConvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/CL/DirectConvolutionLayer.cpp | 67 |
1 files changed, 67 insertions, 0 deletions
diff --git a/tests/validation/CL/DirectConvolutionLayer.cpp b/tests/validation/CL/DirectConvolutionLayer.cpp index 2986369d9b..08d53d5af3 100644 --- a/tests/validation/CL/DirectConvolutionLayer.cpp +++ b/tests/validation/CL/DirectConvolutionLayer.cpp @@ -79,6 +79,73 @@ TEST_SUITE(DirectConvolutionLayer) //TODO(COMPMID-415): Configuration tests? +// *INDENT-OFF* +// clang-format off +DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, 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 + TensorInfo(TensorShape(27U, 13U, 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), + 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), + TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), + })), + 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), + 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), + 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), + TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), + })), + framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), + PadStrideInfo(1, 1, 0, 0), + PadStrideInfo(1, 1, 0, 0), + PadStrideInfo(1, 1, 0, 0), + PadStrideInfo(1, 1, 0, 0), + PadStrideInfo(3, 3, 0, 0), + 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 })), + 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)); + ARM_COMPUTE_EXPECT(is_error == expected, framework::LogLevel::ERRORS); +} +// clang-format on +// *INDENT-ON* + template <typename T> using CLDirectConvolutionLayerFixture = DirectConvolutionValidationFixture<CLTensor, CLAccessor, CLDirectConvolutionLayer, T>; |