|
| TEST_CASE (NoBias, framework::DatasetMode::PRECOMMIT) |
| Check whether the configuration of a Direct Convolution layer with no bias leads to a successful execution. More...
|
|
| TEST_CASE (NonSquareKernel, framework::DatasetMode::PRECOMMIT) |
| Check whether the case of rectangle kernels i.e. More...
|
|
| FIXTURE_DATA_TEST_CASE (RunSmall, CLIndirectConvolutionLayerFixture< half >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputShape", { TensorShape(27U, 13U, 23U), TensorShape(19U, 5U, 16U, 4U), TensorShape(13U, 5U, 17U, 2U), TensorShape(32U, 37U, 13U) }), framework::dataset::make("StrideX", { 1, 3, 1, 1 })), framework::dataset::make("StrideY", { 1, 3, 2, 1 })), framework::dataset::make("PadX", { 1, 3, 0, 4 })), framework::dataset::make("PadY", { 1, 3, 0, 4 })), framework::dataset::make("KernelSize", { 3, 8, 1, 9 })), framework::dataset::make("NumKernels", { 17, 3, 1, 19 })), framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make("DataLayout", DataLayout::NHWC))) |
|
| FIXTURE_DATA_TEST_CASE (RunLarge, CLIndirectConvolutionLayerFixture< half >, framework::DatasetMode::NIGHTLY, combine(combine(combine(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputShape", { TensorShape(800U, 800U, 3U) }), framework::dataset::make("StrideX", { 1 })), framework::dataset::make("StrideY", { 1 })), framework::dataset::make("PadX", { 1 })), framework::dataset::make("PadY", { 1 })), framework::dataset::make("KernelSize", { 9 })), framework::dataset::make("NumKernels", { 3 })), framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::IDENTITY))), framework::dataset::make("DataLayout", DataLayout::NHWC))) |
|
| TEST_SUITE_END () FIXTURE_DATA_TEST_CASE(RunSmall = ActivationValidationQuantizedFixture<CLTensor, CLAccessor, CLActivationLayer, T> |
| [CLActivationLayer Test snippet] More...
|
|
| combine (combine(combine(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputShape", { TensorShape(27U, 13U, 23U), TensorShape(19U, 5U, 16U, 4U), TensorShape(13U, 5U, 17U, 2U), TensorShape(32U, 37U, 13U) }), framework::dataset::make("StrideX", { 1, 3, 1, 1 })), framework::dataset::make("StrideY", { 1, 3, 2, 1 })), framework::dataset::make("PadX", { 1, 3, 0, 4 })), framework::dataset::make("PadY", { 1, 3, 0, 4 })), framework::dataset::make("KernelSize", { 3, 8, 1, 9 })), framework::dataset::make("NumKernels", { 17, 3, 1, 19 })), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make("DataLayout", DataLayout::NHWC))) |
|
| FIXTURE_DATA_TEST_CASE (RunMixedDataLayout, CLIndirectConvolutionLayerMixedDataLayoutFixture< float >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputShape", { TensorShape(27U, 13U, 23U), TensorShape(19U, 5U, 16U, 4U), TensorShape(13U, 5U, 17U, 2U), TensorShape(32U, 37U, 13U) }), framework::dataset::make("StrideX", { 1 })), framework::dataset::make("StrideY", { 2 })), framework::dataset::make("PadX", { 1 })), framework::dataset::make("PadY", { 3 })), framework::dataset::make("KernelSize", { 3 })), framework::dataset::make("NumKernels", { 3 })), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))), framework::dataset::make("DataLayout", DataLayout::NHWC))) |
|
| FIXTURE_DATA_TEST_CASE (RunLarge, CLIndirectConvolutionLayerFixture< float >, framework::DatasetMode::NIGHTLY, combine(combine(combine(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputShape", { TensorShape(800U, 800U, 3U) }), framework::dataset::make("StrideX", { 1 })), framework::dataset::make("StrideY", { 1 })), framework::dataset::make("PadX", { 1 })), framework::dataset::make("PadY", { 1 })), framework::dataset::make("KernelSize", { 9 })), framework::dataset::make("NumKernels", { 3 })), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::IDENTITY))), framework::dataset::make("DataLayout", DataLayout::NHWC))) |
|