| DATA_TEST_CASE (Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U, 4U), 1U, DataType::F32, DataLayout::NDHWC), TensorInfo(TensorShape(27U, 13U, 2U, 4U), 1U, DataType::F32, DataLayout::NDHWC), TensorInfo(TensorShape(27U, 13U, 2U, 4U), 1U, DataType::F32, DataLayout::NDHWC), TensorInfo(TensorShape(27U, 13U, 2U, 4U), 1U, DataType::F32, DataLayout::NHWC), TensorInfo(TensorShape(27U, 13U, 2U, 4U), 1U, DataType::F32, DataLayout::NDHWC), TensorInfo(TensorShape(27U, 13U, 2U, 4U), 1U, DataType::F32, DataLayout::NDHWC), TensorInfo(TensorShape(27U, 13U, 2U, 4U), 1U, DataType::F32, DataLayout::NDHWC), TensorInfo(TensorShape(27U, 13U, 2U, 4U), 1U, DataType::U32, DataLayout::NDHWC), }), framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(4U, 3U, 3U, 3U, 2U), 1U, DataType::F16), TensorInfo(TensorShape(4U, 3U, 3U, 3U, 3U), 1U, DataType::F32), TensorInfo(TensorShape(4U, 3U, 3U, 3U, 2U, 3U), 1U, DataType::F32), TensorInfo(TensorShape(4U, 3U, 3U, 3U, 2U), 1U, DataType::F32), TensorInfo(TensorShape(4U, 3U, 3U, 3U, 2U), 1U, DataType::F32), TensorInfo(TensorShape(4U, 3U, 3U, 3U, 2U), 1U, DataType::F32), TensorInfo(TensorShape(4U, 3U, 3U, 3U, 2U), 1U, DataType::F32), TensorInfo(TensorShape(4U, 3U, 3U, 3U, 2U), 1U, DataType::U32), })), framework::dataset::make("BiasesInfo",{ TensorInfo(TensorShape(4U), 1U, DataType::F32), TensorInfo(TensorShape(4U), 1U, DataType::F32), TensorInfo(TensorShape(4U), 1U, DataType::F32), TensorInfo(TensorShape(4U), 1U, DataType::F32), TensorInfo(TensorShape(3U), 1U, DataType::F32), TensorInfo(TensorShape(4U, 2U), 1U, DataType::F32), TensorInfo(TensorShape(4U), 1U, DataType::F32), TensorInfo(TensorShape(4U), 1U, DataType::F32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 4U), 1U, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1U, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1U, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1U, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1U, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1U, DataType::F32), TensorInfo(TensorShape(26U, 11U, 4U), 1U, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1U, DataType::U32), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false})), input_info, weights_info, biases_info, output_info, expected) |
| FIXTURE_DATA_TEST_CASE (RunSmall, NEDirectConvolution3DQuantizedFixture< uint8_t >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputShape", { TensorShape(7U, 5U, 3U, 13U, 3U), TensorShape(15U, 7U, 11U, 7U), TensorShape(19U, 5U, 16U, 4U), TensorShape(13U, 5U, 17U, 2U) }), framework::dataset::make("StrideX", { 1, 3, 2, 1 })), framework::dataset::make("StrideY", { 2, 1, 3, 1 })), framework::dataset::make("StrideZ", { 3, 2, 1, 1 })), framework::dataset::make("PadX", { 0, 2, 1, 0 })), framework::dataset::make("PadY", { 1, 0, 2, 0 })), framework::dataset::make("PadZ", { 2, 1, 0, 0 })), framework::dataset::make("KernelWidth", { 3, 7, 5, 1 })), framework::dataset::make("KernelHeight", { 5, 3, 7, 1 })), framework::dataset::make("KernelDepth", { 7, 5, 3, 1 })), framework::dataset::make("NumKernels", { 5, 3, 1, 11 })), framework::dataset::make("HasBias", { true, true, true, false })), framework::dataset::make("Activation", ActivationLayerInfo())), framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("DataLayout", DataLayout::NDHWC)), framework::dataset::make("SrcQuantizationInfo", QuantizationInfo(0.1f, 10))), framework::dataset::make("WeightsQuantizationInfo", QuantizationInfo(0.3f, 20))), framework::dataset::make("DstQuantizationInfo", QuantizationInfo(0.2f, 5)))) |
| combine (combine(combine(combine(combine(combine(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputShape", { TensorShape(7U, 5U, 3U, 13U, 3U), TensorShape(15U, 7U, 11U, 7U), TensorShape(19U, 5U, 16U, 4U), TensorShape(13U, 5U, 17U, 2U) }), framework::dataset::make("StrideX", { 1, 3, 2, 1 })), framework::dataset::make("StrideY", { 2, 1, 3, 1 })), framework::dataset::make("StrideZ", { 3, 2, 1, 1 })), framework::dataset::make("PadX", { 0, 2, 1, 0 })), framework::dataset::make("PadY", { 1, 0, 2, 0 })), framework::dataset::make("PadZ", { 2, 1, 0, 0 })), framework::dataset::make("KernelWidth", { 3, 7, 5, 1 })), framework::dataset::make("KernelHeight", { 5, 3, 7, 1 })), framework::dataset::make("KernelDepth", { 7, 5, 3, 1 })), framework::dataset::make("NumKernels", { 5, 3, 1, 11 })), framework::dataset::make("HasBias", { true, true, true, false })), framework::dataset::make("Activation", ActivationLayerInfo())), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), framework::dataset::make("DataLayout", DataLayout::NDHWC)), framework::dataset::make("SrcQuantizationInfo", QuantizationInfo(0.1f, 10))), framework::dataset::make("WeightsQuantizationInfo", QuantizationInfo(0.3f, 20))), framework::dataset::make("DstQuantizationInfo", QuantizationInfo(0.2f, 5)))) |