diff options
Diffstat (limited to 'tests/validation/CL/DirectConvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/CL/DirectConvolutionLayer.cpp | 21 |
1 files changed, 19 insertions, 2 deletions
diff --git a/tests/validation/CL/DirectConvolutionLayer.cpp b/tests/validation/CL/DirectConvolutionLayer.cpp index b1457abc8b..94a436ac6f 100644 --- a/tests/validation/CL/DirectConvolutionLayer.cpp +++ b/tests/validation/CL/DirectConvolutionLayer.cpp @@ -66,8 +66,16 @@ const auto data_small = combine(datasets::SmallDirectConvolutionShapes(), com const auto data_small9x9 = combine(datasets::SmallDirectConvolutionShapes(), combine(data_strides_small, data_ksize_nine_small)); /** Direct convolution nightly data set. */ -const auto data_nightly = combine(data, framework::dataset::make("NumKernels", { 1, 4 })); -const auto data_nightly_9x9 = combine(data9x9, framework::dataset::make("NumKernels", { 1, 4 })); +const auto data_nightly = combine(data, framework::dataset::make("NumKernels", { 1, 4 })); +const auto data_nightly_9x9 = combine(data9x9, framework::dataset::make("NumKernels", { 1, 4 })); +const auto data_nightly_usecase = combine(framework::dataset::make("InputShape", { TensorShape{ 3U, 800U, 800U } }), + combine(framework::dataset::make("StrideX", { 1 }), + combine(framework::dataset::make("StrideY", { 1 }), + combine(framework::dataset::make("PadX", { 4 }), + combine(framework::dataset::make("PadY", { 4 }), + combine(framework::dataset::make("KernelSize", 9), + framework::dataset::make("NumKernels", { 16 }))))))); + /** Direct convolution precommit data set. */ const auto data_precommit = combine(data_small, framework::dataset::make("NumKernels", { 1 })); const auto data_precommit_9x9 = combine(data_small9x9, framework::dataset::make("NumKernels", { 1 })); @@ -223,6 +231,15 @@ FIXTURE_DATA_TEST_CASE(RunSmall9x9, CLDirectConvolutionLayerFixture<float>, fram { validate(CLAccessor(_target), _reference, tolerance_fp32); } + +FIXTURE_DATA_TEST_CASE(RunLargeUsecase, CLDirectConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data_nightly_usecase, framework::dataset::make("DataType", + DataType::F32)), + framework::dataset::make("ActivationInfo", { ActivationLayerInfo() })), + framework::dataset::make("DataLayout", { DataLayout::NHWC }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_fp32); +} TEST_SUITE_END() // FP32 TEST_SUITE(FP32_CustomDataset) |