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| DATA_TEST_CASE (Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo",{TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::QASYMM8, 0), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32, 0), TensorInfo(TensorShape(50U, 32U, 8U), 1, DataType::QASYMM8, 0),}), framework::dataset::make("WeightsInfo",{TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(5U, 5U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::QASYMM8, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8, 0),})), framework::dataset::make("BiasesInfo",{TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::S32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U), 1, DataType::F32, 0), TensorInfo(TensorShape(24U), 1, DataType::S32, 0),})), framework::dataset::make("OutputInfo",{TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8, 0), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(48U, 30U, 24U), 1, DataType::QASYMM8, 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(4, 1, 0, 0), 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(1, 1, 0, 0),})), framework::dataset::make("DepthMultiplier",{1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 3,})), framework::dataset::make("ActivationInfo",{ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),})), framework::dataset::make("Expected",{false, false, false, false, false, false, false, false, false, false, true, true})), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, act_info, expected) |
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| DATA_TEST_CASE (ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo",{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8, 0),}), framework::dataset::make("WeightsInfo",{TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8, 0),})), framework::dataset::make("BiasesInfo",{TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U), 1, DataType::F32, 0), TensorInfo(TensorShape(24U), 1, DataType::S32, 0),})), framework::dataset::make("OutputInfo",{TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8, 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(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 0),})), framework::dataset::make("DepthMultiplier",{1, 1, 3, 1, 1, 1, 2, 3,})), framework::dataset::make("Expected",{false, false, false, false, false, false, true, true})), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, expected) |
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| FIXTURE_DATA_TEST_CASE (RunSmall, CLDepthwiseConvolutionLayerFixture3x3< half >, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()), depth_multipliers), framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("DataLayout", DataLayout::NCHW))) |
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| FIXTURE_DATA_TEST_CASE (RunLarge, CLDepthwiseConvolutionLayerFixture3x3< half >, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("DataLayout", DataLayout::NCHW))) |
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| FIXTURE_DATA_TEST_CASE (RunSmall, CLDepthwiseConvolutionLayerFixture< half >, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("DataLayout", DataLayout::NCHW))) |
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| FIXTURE_DATA_TEST_CASE (RunLarge, CLDepthwiseConvolutionLayerFixture< half >, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("DataLayout", DataLayout::NCHW))) |
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| FIXTURE_DATA_TEST_CASE (RunSmall, CLDepthwiseConvolutionLayerFixture3x3< float >, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()), depth_multipliers), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("DataLayout", DataLayout::NCHW))) |
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| FIXTURE_DATA_TEST_CASE (RunLarge, CLDepthwiseConvolutionLayerFixture3x3< float >, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("DataLayout", DataLayout::NCHW))) |
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| FIXTURE_DATA_TEST_CASE (RunSmall, CLDepthwiseConvolutionLayerFixture< float >, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("DataLayout", DataLayout::NCHW))) |
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| FIXTURE_DATA_TEST_CASE (RunLarge, CLDepthwiseConvolutionLayerFixture< float >, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("DataLayout", DataLayout::NCHW))) |
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| FIXTURE_DATA_TEST_CASE (RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture< uint8_t >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("QuantizationInfo",{QuantizationInfo(0.5f, 10)})), framework::dataset::make("DataLayout", DataLayout::NCHW))) |
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| FIXTURE_DATA_TEST_CASE (RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture< uint8_t >, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("QuantizationInfo",{QuantizationInfo(0.5f, 10)})), framework::dataset::make("DataLayout", DataLayout::NCHW))) |
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| FIXTURE_DATA_TEST_CASE (RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture3x3< uint8_t >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make("DepthMultiplier", 1)), framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("QuantizationInfo",{QuantizationInfo(0.5f, 10)})), framework::dataset::make("DataLayout",{DataLayout::NCHW, DataLayout::NHWC}))) |
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| FIXTURE_DATA_TEST_CASE (RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture3x3< uint8_t >, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make("DepthMultiplier", 1)), framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("QuantizationInfo",{QuantizationInfo(0.5f, 10)})), framework::dataset::make("DataLayout",{DataLayout::NCHW, DataLayout::NHWC}))) |
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