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| TEST_CASE (MemoryInjection, framework::DatasetMode::ALL) |
| Test case for memory injection in cpu::CpuWinogradConv2d. More...
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| TEST_CASE (MultipleExecutionWithConfigure, framework::DatasetMode::ALL) |
| Test case for memory injection in NEWinogradConvolutionLayer. More...
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| TEST_CASE (Quant8_Signed_Mult_gt_1, framework::DatasetMode::ALL) |
| Unit test for cpu::CpuFullyConnected with quantized multipler > 1. More...
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| DATA_TEST_CASE (Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), }), framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(315U, 271U), 1, DataType::F16), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), })), framework::dataset::make("BiasInfo",{ TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), })), framework::dataset::make("TransposeWeights",{ true, true, false, true, true, true })), framework::dataset::make("ReshapedWeights",{ false, false, false, false, false, false})), framework::dataset::make("Expected", { false, true, true, false, false, true })), input_info, weights_info, bias_info, output_info, transpose_weights, reshaped_weights, expected) |
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| FIXTURE_DATA_TEST_CASE (RunSmall, NEFullyConnectedLayerFixture< float >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make("DataType", DataType::F32)), EmptyActivationFunctionDataset)) |
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| FIXTURE_DATA_TEST_CASE (RunMixedDataLayout, NEFullyConnectedLayerMixedDataLayoutFixture< float >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(framework::dataset::make("Input", TensorShape(9U, 5U, 7U)), framework::dataset::make("Weights", TensorShape(315U, 271U))), framework::dataset::make("Biases", TensorShape(271U))), framework::dataset::make("Output", TensorShape(271U))), FullyConnectedParameters), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)))) |
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| FIXTURE_DATA_TEST_CASE (RunWithActivation, NEFullyConnectedLayerFixture< float >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::FullyConnectedLayerWithActivationDataset(), FullyConnectedParameters), framework::dataset::make("DataType", DataType::F32)), ActivationFunctionsDataset)) |
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| FIXTURE_DATA_TEST_CASE (RunLarge, NEFullyConnectedLayerFixture< float >, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make("DataType", DataType::F32)), EmptyActivationFunctionDataset)) |
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| FIXTURE_DATA_TEST_CASE (RunDynamicWeights, NEFullyConnectedLayerDynamicWeightsFixture< float >, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)))) |
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| FIXTURE_DATA_TEST_CASE (RunSmall, NEFullyConnectedLayerQuantizedFixture< uint8_t >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make("DataType", DataType::QASYMM8)), QuantizationData), EmptyActivationFunctionDataset)) |
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| FIXTURE_DATA_TEST_CASE (RunMixedDataLayout, NEFullyConnectedLayerQuantizedMixedDataLayoutFixture< uint8_t >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(framework::dataset::make("Input", TensorShape(9U, 5U, 7U)), framework::dataset::make("Weights", TensorShape(315U, 271U))), framework::dataset::make("Biases", TensorShape(271U))), framework::dataset::make("Output", TensorShape(271U))), FullyConnectedParameters), framework::dataset::make("DataType", DataType::QASYMM8)), QuantizationData), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)))) |
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| FIXTURE_DATA_TEST_CASE (RunWithActivation, NEFullyConnectedLayerQuantizedFixture< uint8_t >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::FullyConnectedLayerWithActivationDataset(), FullyConnectedParameters), framework::dataset::make("DataType", DataType::QASYMM8)), QuantizationData), ActivationFunctionsQuantizedDataset)) |
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| FIXTURE_DATA_TEST_CASE (RunLarge, NEFullyConnectedLayerQuantizedFixture< uint8_t >, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make("DataType", DataType::QASYMM8)), QuantizationData), EmptyActivationFunctionDataset)) |
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| FIXTURE_DATA_TEST_CASE (RunDynamicBias, NEFullyConnectedLayerDynamicBiasFixture< uint8_t >, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallFullyConnectedLayerDataset(), framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)))) |
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| FIXTURE_DATA_TEST_CASE (RunSmall, NEFullyConnectedLayerQuantizedFixture< int8_t >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), QuantizationData), EmptyActivationFunctionDataset)) |
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| FIXTURE_DATA_TEST_CASE (RunMixedDataLayout, NEFullyConnectedLayerQuantizedMixedDataLayoutFixture< int8_t >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(framework::dataset::make("Input", TensorShape(9U, 5U, 7U)), framework::dataset::make("Weights", TensorShape(315U, 271U))), framework::dataset::make("Biases", TensorShape(271U))), framework::dataset::make("Output", TensorShape(271U))), FullyConnectedParameters), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), QuantizationData), framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)))) |
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| FIXTURE_DATA_TEST_CASE (RunWithActivation, NEFullyConnectedLayerQuantizedFixture< int8_t >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::FullyConnectedLayerWithActivationDataset(), FullyConnectedParameters), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), QuantizationData), ActivationFunctionsQuantizedDataset)) |
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