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20.11
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20.11
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#include "../Graph.hpp"#include "../Network.hpp"#include "../NetworkQuantizerUtils.hpp"#include "../OverrideInputRangeVisitor.hpp"#include "../RangeTracker.hpp"#include "../../armnnQuantizer/CommandLineProcessor.hpp"#include <armnn/INetwork.hpp>#include <armnn/LayerVisitorBase.hpp>#include <armnn/Tensor.hpp>#include <armnn/Types.hpp>#include <armnn/utility/IgnoreUnused.hpp>#include <armnn/utility/PolymorphicDowncast.hpp>#include <armnnQuantizer/INetworkQuantizer.hpp>#include <QuantizeHelper.hpp>#include <boost/test/unit_test.hpp>#include <unordered_map>Go to the source code of this file.
Namespaces | |
| armnn | |
| Copyright (c) 2020 ARM Limited. | |
Typedefs | |
| using | MinMaxRange = std::pair< float, float > |
| using | MinMaxRanges = std::vector< MinMaxRange > |
| using | MinMaxRangeMap = std::unordered_map< LayerGuid, MinMaxRanges > |
Functions | |
| void | VisitLayersTopologically (const INetwork *inputNetwork, ILayerVisitor &visitor) |
| BOOST_AUTO_TEST_CASE (QuantizeAddition) | |
| INetworkPtr | CreateNetworkWithActivationLayer (const ActivationDescriptor &descriptor, const TensorShape &shape) |
| INetworkPtr | CreateNetworkWithInputOutputLayers () |
| TensorInfo | GetInputTensorInfo (const Network *network) |
| BOOST_AUTO_TEST_CASE (InputOutputLayerDynamicQuant) | |
| BOOST_AUTO_TEST_CASE (QuantizeAbsActivation) | |
| BOOST_AUTO_TEST_CASE (QuantizeLinearActivation) | |
| BOOST_AUTO_TEST_CASE (QuantizeReLuActivation) | |
| BOOST_AUTO_TEST_CASE (QuantizeSoftReLuActivation) | |
| BOOST_AUTO_TEST_CASE (QuantizeBoundedReluActivation) | |
| BOOST_AUTO_TEST_CASE (QuantizeTanHActivation) | |
| BOOST_AUTO_TEST_CASE (QuantizeLeakyReLuActivation) | |
| BOOST_AUTO_TEST_CASE (QuantizeELuActivation) | |
| BOOST_AUTO_TEST_CASE (QuantizeHardSwishActivation) | |
| BOOST_AUTO_TEST_CASE (QuantizeBatchNorm) | |
| BOOST_AUTO_TEST_CASE (QuantizeDepthToSpace) | |
| BOOST_AUTO_TEST_CASE (OverrideInputRangeEmptyNetwork) | |
| BOOST_AUTO_TEST_CASE (OverrideInputRangeNoInputLayers) | |
| BOOST_AUTO_TEST_CASE (OverrideInputRangeInputLayers) | |
| INetworkPtr | CreateNetworkWithFullyConnectedLayer (const bool biasEnabled, const TensorShape &inputShape, const TensorShape &outputShape) |
| void | ValidateFullyConnectedLayer (const bool biasEnabled) |
| BOOST_AUTO_TEST_CASE (QuantizeFill) | |
| BOOST_AUTO_TEST_CASE (QuantizeFullyConnected) | |
| BOOST_AUTO_TEST_CASE (QuantizeFullyConnectedBiasEnabled) | |
| void | TestQuantizeConvolution2d (bool useBiases) |
| BOOST_AUTO_TEST_CASE (QuantizeConvolution2d) | |
| BOOST_AUTO_TEST_CASE (QuantizeConvolution2dWithBiases) | |
| void | TestQuantizeDepthwiseConvolution2d (bool useBiases) |
| BOOST_AUTO_TEST_CASE (QuantizeDepthwiseConvolution2d) | |
| BOOST_AUTO_TEST_CASE (QuantizeDepthwiseConvolution2dWithBiases) | |
| BOOST_AUTO_TEST_CASE (QuantizeInstanceNormalization) | |
| BOOST_AUTO_TEST_CASE (QuantizeLogSoftmax) | |
| INetworkPtr | CreateNetworkWithSoftmaxLayer (const SoftmaxDescriptor &descriptor, const TensorShape &shape) |
| BOOST_AUTO_TEST_CASE (QuantizeSoftmax) | |
| BOOST_AUTO_TEST_CASE (QuantizeStandIn) | |
| IConnectableLayer * | CreateStartOfLeakyReluNetwork (INetwork *network, const TensorInfo &info) |
| void | CompleteLeakyReluNetwork (INetwork *network, IConnectableLayer *activation, IConnectableLayer *layerUnderTest, const TensorInfo &info) |
| BOOST_AUTO_TEST_CASE (QuantizePermute) | |
| BOOST_AUTO_TEST_CASE (QuantizeSpaceToBatch) | |
| BOOST_AUTO_TEST_CASE (QuantizeSpaceToDepth) | |
| BOOST_AUTO_TEST_CASE (QuantizePooling2d) | |
| BOOST_AUTO_TEST_CASE (QuantizeConstant) | |
| BOOST_AUTO_TEST_CASE (QuantizeArgMinMax) | |
| BOOST_AUTO_TEST_CASE (QuantizeComparison) | |
| BOOST_AUTO_TEST_CASE (QuantizeConcat) | |
| BOOST_AUTO_TEST_CASE (QuantizeReshape) | |
| BOOST_AUTO_TEST_CASE (QuantizeSplitter) | |
| BOOST_AUTO_TEST_CASE (QuantizeResize) | |
| BOOST_AUTO_TEST_CASE (QuantizeStridedSlice) | |
| BOOST_AUTO_TEST_CASE (QuantizeBatchToSpace) | |
| BOOST_AUTO_TEST_CASE (QuantizePrelu) | |
| void | TestQuantizeTransposeConvolution2d (bool useBiases) |
| BOOST_AUTO_TEST_CASE (QuantizeTransposeConvolution2d) | |
| BOOST_AUTO_TEST_CASE (QuantizeTransposeConvolution2dWithBiases) | |
| BOOST_AUTO_TEST_CASE (QuantizeStack) | |
| BOOST_AUTO_TEST_CASE (QuantizeSlice) | |
| std::vector< uint8_t > | SetupQuantize (float value) |
| BOOST_AUTO_TEST_CASE (QuantizeInf) | |
| BOOST_AUTO_TEST_CASE (QuantizeNegativeInf) | |
| void | PreserveTypeTestImpl (const DataType &dataType) |
| BOOST_AUTO_TEST_CASE (PreserveTypeFloat32) | |
| BOOST_AUTO_TEST_CASE (PreserveTypeQAsymmU8) | |
| BOOST_AUTO_TEST_CASE (PreserveTypeQsymm8) | |
| BOOST_AUTO_TEST_CASE (PreserveTypeQsymm16) | |
| BOOST_AUTO_TEST_CASE (TestConnectionPreservationAfterDynamicQuant) | |
Variables | |
| const float | g_AsymmU8QuantizationBase = 255.0f |
| const float | g_AsymmS8QuantizationBase = 255.0f |
| const float | g_SymmS8QuantizationBase = 127.0f |
| const float | g_SymmS16QuantizationBase = 32767.0f |
| const float | g_TestTolerance = 0.000001f |
1.8.13