| AllowForceBackward(int nBottomIdx) | MyCaffe.layers.EuclideanLossLayer< T > | virtual |
| AutoTopBlobs | MyCaffe.layers.LossLayer< T > | |
| backward(BlobCollection< T > colTop, List< bool > rgbPropagateDown, BlobCollection< T > colBottom) | MyCaffe.layers.EuclideanLossLayer< T > | protectedvirtual |
| Backward(BlobCollection< T > colTop, List< bool > rgbPropagateDown, BlobCollection< T > colBottom) | MyCaffe.layers.Layer< T > | |
| backward_timing | MyCaffe.layers.Layer< T > | |
| backward_timing_average | MyCaffe.layers.Layer< T > | |
| blobs | MyCaffe.layers.Layer< T > | |
| callLossEvent(Blob< T > blob) | MyCaffe.layers.LossLayer< T > | protected |
| check_nan(Blob< T > b) | MyCaffe.layers.Layer< T > | protected |
| CheckBlobCounts(BlobCollection< T > colBottom, BlobCollection< T > colTop) | MyCaffe.layers.Layer< T > | protected |
| compareShapes(BlobCollection< T > colBottom, BlobCollection< T > colTop) | MyCaffe.layers.Layer< T > | protected |
| ConnectLoss(LossLayer< T > layer) | MyCaffe.layers.Layer< T > | virtual |
| convert(BlobCollection< T > col) | MyCaffe.layers.Layer< T > | protected |
| convert(double df) | MyCaffe.layers.Layer< T > | protected |
| convert(float f) | MyCaffe.layers.Layer< T > | protected |
| convert(double[] rg) | MyCaffe.layers.Layer< T > | protected |
| convert(float[] rg) | MyCaffe.layers.Layer< T > | protected |
| convert_to_full(int nCount, long hMem) | MyCaffe.layers.Layer< T > | protected |
| convertD(T df) | MyCaffe.layers.Layer< T > | protected |
| convertD(T[] rg) | MyCaffe.layers.Layer< T > | protected |
| convertF(T df) | MyCaffe.layers.Layer< T > | protected |
| convertF(T[] rg) | MyCaffe.layers.Layer< T > | protected |
| convertLayerParam(LayerParameter pChild, LayerParameter pParent) | MyCaffe.layers.Layer< T > | protected |
| ConvertToBase(BlobCollection< T > col) | MyCaffe.layers.Layer< T > | |
| Create(CudaDnn< T > cuda, Log log, LayerParameter p, CancelEvent evtCancel, IXDatabaseBase db=null, TransferInput trxinput=null) | MyCaffe.layers.Layer< T > | static |
| dispose() | MyCaffe.layers.EuclideanLossLayer< T > | protectedvirtual |
| MyCaffe::layers::LossLayer.dispose(ref Layer< T > l) | MyCaffe.layers.Layer< T > | protected |
| MyCaffe::layers::LossLayer.dispose(ref Blob< T > b) | MyCaffe.layers.Layer< T > | protected |
| MyCaffe::layers::LossLayer.dispose(ref BlobCollection< T > rg, bool bSetToNull=true) | MyCaffe.layers.Layer< T > | protected |
| Dispose() | MyCaffe.layers.Layer< T > | |
| EqualNumBottomTopBlobs | MyCaffe.layers.Layer< T > | |
| EuclideanLossLayer(CudaDnn< T > cuda, Log log, LayerParameter p) | MyCaffe.layers.EuclideanLossLayer< T > | |
| ExactNumBottomBlobs | MyCaffe.layers.LossLayer< T > | |
| ExactNumTopBlobs | MyCaffe.layers.LossLayer< T > | |
| forward(BlobCollection< T > colBottom, BlobCollection< T > colTop) | MyCaffe.layers.EuclideanLossLayer< T > | protectedvirtual |
| Forward(BlobCollection< T > colBottom, BlobCollection< T > colTop) | MyCaffe.layers.Layer< T > | |
| forward_timing | MyCaffe.layers.Layer< T > | |
| forward_timing_average | MyCaffe.layers.Layer< T > | |
| get_normalizer(LossParameter.NormalizationMode normalization_mode, int nValidCount) | MyCaffe.layers.LossLayer< T > | protectedvirtual |
| getCurrentIteration() | MyCaffe.layers.Layer< T > | protected |
| GetNormalizer(LossParameter.NormalizationMode normalization_mode, int nOuterNum, int nInnerNum, int nValidCount) | MyCaffe.layers.LossLayer< T > | |
| getWorkspace() | MyCaffe.layers.Layer< T > | protectedvirtual |
| internal_blobs | MyCaffe.layers.Layer< T > | |
| kLOG_THRESHOLD | MyCaffe.layers.LossLayer< T > | static |
| Layer(CudaDnn< T > cuda, Log log, LayerParameter p) | MyCaffe.layers.Layer< T > | |
| layer_param | MyCaffe.layers.Layer< T > | |
| LayerSetUp(BlobCollection< T > colBottom, BlobCollection< T > colTop) | MyCaffe.layers.EuclideanLossLayer< T > | virtual |
| loss(int nTopIdx) | MyCaffe.layers.Layer< T > | |
| LossLayer(CudaDnn< T > cuda, Log log, LayerParameter p) | MyCaffe.layers.LossLayer< T > | |
| m_bConvertBottom | MyCaffe.layers.Layer< T > | protected |
| m_bConvertTopOnBwd | MyCaffe.layers.Layer< T > | protected |
| m_bConvertTopOnFwd | MyCaffe.layers.Layer< T > | protected |
| m_bEnablePassthrough | MyCaffe.layers.Layer< T > | protected |
| m_bIgnoreLabels | MyCaffe.layers.LossLayer< T > | protected |
| m_bNetReshapeRequest | MyCaffe.layers.Layer< T > | protected |
| m_bReshapeOnForwardNeeded | MyCaffe.layers.Layer< T > | protected |
| m_bUseHalfSize | MyCaffe.layers.Layer< T > | protected |
| m_colBlobs | MyCaffe.layers.Layer< T > | protected |
| m_colInternalBlobs | MyCaffe.layers.Layer< T > | protected |
| m_cuda | MyCaffe.layers.Layer< T > | protected |
| m_log | MyCaffe.layers.Layer< T > | protected |
| m_nInnerNum | MyCaffe.layers.LossLayer< T > | protected |
| m_normalization | MyCaffe.layers.LossLayer< T > | protected |
| m_nOuterNum | MyCaffe.layers.LossLayer< T > | protected |
| m_param | MyCaffe.layers.Layer< T > | protected |
| m_parentLayerType | MyCaffe.layers.Layer< T > | protected |
| m_phase | MyCaffe.layers.Layer< T > | protected |
| m_rgbParamPropagateDown | MyCaffe.layers.Layer< T > | protected |
| m_rgLoss | MyCaffe.layers.Layer< T > | protected |
| m_tOne | MyCaffe.layers.Layer< T > | protected |
| m_type | MyCaffe.layers.Layer< T > | protected |
| m_tZero | MyCaffe.layers.Layer< T > | protected |
| MaxBottomBlobs | MyCaffe.layers.Layer< T > | |
| MaxTopBlobs | MyCaffe.layers.Layer< T > | |
| MinBottomBlobs | MyCaffe.layers.Layer< T > | |
| MinTopBlobs | MyCaffe.layers.Layer< T > | |
| OnDebug | MyCaffe.layers.Layer< T > | |
| OnGetIteration | MyCaffe.layers.Layer< T > | |
| OnGetWorkspace | MyCaffe.layers.Layer< T > | |
| OnLoss | MyCaffe.layers.LossLayer< T > | |
| OnSetWorkspace | MyCaffe.layers.Layer< T > | |
| param_propagate_down(int nParamIdx) | MyCaffe.layers.Layer< T > | |
| parent_layer_type | MyCaffe.layers.Layer< T > | |
| PostProcessFullOutput(Blob< T > blobSoftmax) | MyCaffe.layers.Layer< T > | virtual |
| PostProcessLogitsOutput(int nCurIdx, Blob< T > blobLogits, Layer< T > softmax, int nAxis, int nK=1) | MyCaffe.layers.Layer< T > | virtual |
| PostProcessOutput(Blob< T > blobSofmtax, int nK=1) | MyCaffe.layers.Layer< T > | virtual |
| PostProcessOutput(int nIdx) | MyCaffe.layers.Layer< T > | virtual |
| PreProcessInput(PropertySet customInput, out int nSeqLen, BlobCollection< T > colBottom=null) | MyCaffe.layers.Layer< T > | virtual |
| PreProcessInput(string strEncInput, int? nDecInput, BlobCollection< T > colBottom) | MyCaffe.layers.Layer< T > | virtual |
| ReInitializeParameters(WEIGHT_TARGET target) | MyCaffe.layers.Layer< T > | virtual |
| ResetOnDebug(EventHandler< GetWorkBlobArgs< T > > fn) | MyCaffe.layers.Layer< T > | virtual |
| Reshape(BlobCollection< T > colBottom, BlobCollection< T > colTop) | MyCaffe.layers.EuclideanLossLayer< T > | virtual |
| reshapeNeeded(BlobCollection< T > colBottom, BlobCollection< T > colTop, bool bReset=true) | MyCaffe.layers.Layer< T > | protectedvirtual |
| set_loss(int nTopIdx, double dfLoss) | MyCaffe.layers.Layer< T > | |
| set_param_propagate_down(int nParamIdx, bool bPropagate) | MyCaffe.layers.Layer< T > | |
| SetEnablePassthrough(bool bEnable) | MyCaffe.layers.Layer< T > | |
| SetLossWeights(BlobCollection< T > colTop) | MyCaffe.layers.Layer< T > | protected |
| SetNetParameterUsed(NetParameter np) | MyCaffe.layers.Layer< T > | virtual |
| SetNetReshapeRequest() | MyCaffe.layers.Layer< T > | |
| SetOnDebug(EventHandler< GetWorkBlobArgs< T > > fn) | MyCaffe.layers.Layer< T > | virtual |
| SetPhase(Phase phase) | MyCaffe.layers.Layer< T > | |
| setShapes(BlobCollection< T > colBottom, BlobCollection< T > colTop) | MyCaffe.layers.Layer< T > | protected |
| Setup(BlobCollection< T > colBottom, BlobCollection< T > colTop) | MyCaffe.layers.Layer< T > | |
| setup_internal_blobs(BlobCollection< T > col) | MyCaffe.layers.Layer< T > | protectedvirtual |
| setWorkspace(ulong lSizeInBytes) | MyCaffe.layers.Layer< T > | protectedvirtual |
| shareLayerBlob(Blob< T > b, List< int > rgMinShape) | MyCaffe.layers.Layer< T > | protected |
| shareLayerBlobs(Layer< T > layer) | MyCaffe.layers.Layer< T > | protected |
| shareParameter(Blob< T > b, List< int > rgMinShape, bool bAllowEndsWithComparison=false) | MyCaffe.layers.Layer< T > | protected |
| size_at(Blob< T > b) | MyCaffe.layers.Layer< T > | protected |
| SupportsPostProcessing | MyCaffe.layers.Layer< T > | |
| SupportsPostProcessingFullOutput | MyCaffe.layers.Layer< T > | |
| SupportsPostProcessingLogits | MyCaffe.layers.Layer< T > | |
| SupportsPreProcessing | MyCaffe.layers.Layer< T > | |
| type | MyCaffe.layers.Layer< T > | |
| val_at(T[] rg, int nIdx) | MyCaffe.layers.Layer< T > | protected |
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