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MyCaffe
1.12.2.41
Deep learning software for Windows C# programmers.
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MyCaffe
1.12.2.41
Deep learning software for Windows C# programmers.
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This is the complete list of members for MyCaffe.common.Blob< T >, including all inherited members.
| add_scalar(double dfVal) | MyCaffe.common.Blob< T > | |
| asum_data() | MyCaffe.common.Blob< T > | |
| asum_diff() | MyCaffe.common.Blob< T > | |
| AsyncGpuPush(long hStream) | MyCaffe.common.Blob< T > | |
| Blob(CudaDnn< T > cuda, Log log, bool bIncludeDiff=true, bool bUseHalfSize=false) | MyCaffe.common.Blob< T > | |
| Blob(CudaDnn< T > cuda, Log log, int nNum, int nChannels, int nHeight, int nWidth, bool bIncludeDiff=true, bool bUseHalfSize=false) | MyCaffe.common.Blob< T > | |
| Blob(CudaDnn< T > cuda, Log log, List< int > rgShape, bool bIncludeDiff=true, bool bUseHalfSize=false) | MyCaffe.common.Blob< T > | |
| Blob(CudaDnn< T > cuda, Log log, int[] rgShape, bool bIncludeDiff=true, bool bUseHalfSize=false) | MyCaffe.common.Blob< T > | |
| Blob(CudaDnn< T > cuda, Log log, Blob< T > b, bool bUseHalfSize=false) | MyCaffe.common.Blob< T > | |
| Blob(CudaDnn< T > cuda, Log log, SimpleDatum d, bool bCopyData=false, bool bIncludeDiff=true, bool bUseHalfSize=false) | MyCaffe.common.Blob< T > | |
| Blob(CudaDnn< T > cuda, Log log, BlobProto bp, bool bUseHalfSize=false) | MyCaffe.common.Blob< T > | |
| Blob(Blob< T > blob, long lCount, long lOffset) | MyCaffe.common.Blob< T > | |
| CanonicalAxisIndex(int nIdx) | MyCaffe.common.Blob< T > | |
| channels | MyCaffe.common.Blob< T > | |
| Clone() | MyCaffe.common.Blob< T > | |
| Compare(Blob< T > other, Blob< T > work, bool bDiff=false, double dfTol=1e-8, bool bZeroCheck=true, bool bFullCompare=false, bool bDetectNans=true, bool bForceOtherData=false) | MyCaffe.common.Blob< T > | |
| Compare(CudaDnn< double > cuda, Blob< T > other, Blob< double > work, bool bDiff=false, double dfTol=1e-8) | MyCaffe.common.Blob< T > | |
| CompareEx(Blob< T > other, Blob< T > work, out double dfMin, out double dfMax, bool bDiff=false, double dfTol=1e-8, bool bZeroCheck=true, bool bFullCompare=false, bool bDetectNans=true, bool bForceOtherData=false) | MyCaffe.common.Blob< T > | |
| CompareShape(List< int > rgShape, bool bCompareCpuDataLen=false) | MyCaffe.common.Blob< T > | |
| CompareShape(int[] rgShape, bool bCompareCpuDataLen=false) | MyCaffe.common.Blob< T > | |
| ConvertToBase(long hWorkMem, ulong lWorkSize, bool bData, bool bDiff) | MyCaffe.common.Blob< T > | |
| ConvertToHalf(long hWorkMem, ulong lWorkSize, bool bData, bool bDiff) | MyCaffe.common.Blob< T > | |
| CopyFrom(Blob< T > src, int nSrcOffset, int nDstOffset, int nCount, bool bCopyData, bool bCopyDiff) | MyCaffe.common.Blob< T > | |
| CopyFrom(Blob< T > src, bool bCopyDiff=false, bool bReshape=false, long hDstHostBuffer=0, bool bIgnoreShape=false) | MyCaffe.common.Blob< T > | |
| CopyFrom(Blob< T > blobSrc, int nChannelFrom, int nChannelTo, bool bCopyDiff=false) | MyCaffe.common.Blob< T > | |
| CopyFromAndPad(Blob< T > src, double dfPad=0, bool bCopyDiff=false) | MyCaffe.common.Blob< T > | |
| CopyFromAndTransposeHeightWidth(Blob< T > blobSrc, bool bCopyDiff=false, bool bUseCuda=true) | MyCaffe.common.Blob< T > | |
| CopyParameters(Blob< T > b) | MyCaffe.common.Blob< T > | |
| count() | MyCaffe.common.Blob< T > | |
| count(int nStartIdx, int nEndIdx) | MyCaffe.common.Blob< T > | |
| count(int nStartIdx) | MyCaffe.common.Blob< T > | |
| cpu_data | MyCaffe.common.Blob< T > | |
| cpu_diff | MyCaffe.common.Blob< T > | |
| Cuda | MyCaffe.common.Blob< T > | |
| data | MyCaffe.common.Blob< T > | |
| data_at(int n, int c, int h, int w) | MyCaffe.common.Blob< T > | |
| data_at(List< int > rgIdx) | MyCaffe.common.Blob< T > | |
| diff | MyCaffe.common.Blob< T > | |
| diff_at(int n, int c, int h, int w) | MyCaffe.common.Blob< T > | |
| diff_at(List< int > rgIdx) | MyCaffe.common.Blob< T > | |
| DiffExists | MyCaffe.common.Blob< T > | |
| Dispose(bool bDisposing) | MyCaffe.common.Blob< T > | protectedvirtual |
| Dispose() | MyCaffe.common.Blob< T > | |
| freeze_learning | MyCaffe.common.Blob< T > | |
| FromByteArray(CudaDnn< T > cuda, Log log, byte[] rg) | MyCaffe.common.Blob< T > | static |
| FromProto(BlobProto bp, bool bReshape=true) | MyCaffe.common.Blob< T > | |
| GetConversionWorkSize(bool bUseHalfSize) | MyCaffe.common.Blob< T > | |
| GetData(int nIdx) | MyCaffe.common.Blob< T > | |
| GetDiff(int nIdx) | MyCaffe.common.Blob< T > | |
| GetMaxData(out long lPos) | MyCaffe.common.Blob< T > | |
| GetMaxDiff(out long lPos) | MyCaffe.common.Blob< T > | |
| GetMinData(out long lPos) | MyCaffe.common.Blob< T > | |
| GetMinDiff(out long lPos) | MyCaffe.common.Blob< T > | |
| GetParameter(string strName) | MyCaffe.common.Blob< T > | |
| gpu_data | MyCaffe.common.Blob< T > | |
| gpu_diff | MyCaffe.common.Blob< T > | |
| gpu_shape | MyCaffe.common.Blob< T > | |
| HalfSize | MyCaffe.common.Blob< T > | |
| height | MyCaffe.common.Blob< T > | |
| LegacyShape(int nIdx) | MyCaffe.common.Blob< T > | |
| Load(CudaDnn< T > cuda, Log log, BinaryReader br, bool bData, bool bDiff) | MyCaffe.common.Blob< T > | static |
| LoadBinary(CudaDnn< T > cuda, Log log, string strFile, bool bData, bool bDiff) | MyCaffe.common.Blob< T > | static |
| LoadFromNumpy(string strFile, bool bLoadDiff=false, bool bLoadDataOnly=false, Log log=null, int nMax=int.MaxValue) | MyCaffe.common.Blob< T > | |
| LoadFromNumpy(string strFile, Log log=null, int nMax=int.MaxValue, int nStartIdx=0, int nCount=int.MaxValue) | MyCaffe.common.Blob< T > | static |
| Log | MyCaffe.common.Blob< T > | |
| MathAdd(Blob< T > blobA, T fScale) | MyCaffe.common.Blob< T > | |
| MathDiv(T fScale) | MyCaffe.common.Blob< T > | |
| MathSub(Blob< T > blobA) | MyCaffe.common.Blob< T > | |
| MatMul(Blob< T > blobA, Blob< T > blobB, bool bReshape=false, bool bTransA=false, bool bTransB=false, double dfScale=1.0, bool bADiff=false, bool bBDiff=false, bool bCDiff=false) | MyCaffe.common.Blob< T > | |
| MatMulGrad(Blob< T > blobA, Blob< T > blobB, Blob< T > blobWork, double dfScale=1.0) | MyCaffe.common.Blob< T > | |
| MAX_BLOB_AXES | MyCaffe.common.Blob< T > | static |
| max_data | MyCaffe.common.Blob< T > | |
| max_diff | MyCaffe.common.Blob< T > | |
| mean(float[] rgDf=null, bool bDiff=false) | MyCaffe.common.Blob< T > | |
| min_data | MyCaffe.common.Blob< T > | |
| min_diff | MyCaffe.common.Blob< T > | |
| minmax_data(Blob< T > work, bool bDetectNans=false, bool bUseChunks=false) | MyCaffe.common.Blob< T > | |
| minmax_diff(Blob< T > work, bool bDetectNans=false, bool bUseChunks=false) | MyCaffe.common.Blob< T > | |
| MinusOne | MyCaffe.common.Blob< T > | static |
| mutable_cpu_data | MyCaffe.common.Blob< T > | |
| mutable_cpu_diff | MyCaffe.common.Blob< T > | |
| mutable_gpu_data | MyCaffe.common.Blob< T > | |
| mutable_gpu_diff | MyCaffe.common.Blob< T > | |
| Name | MyCaffe.common.Blob< T > | |
| NormalizeData(double? dfMean=null, double? dfStd=null) | MyCaffe.common.Blob< T > | |
| num | MyCaffe.common.Blob< T > | |
| num_axes | MyCaffe.common.Blob< T > | |
| num_true_axes | MyCaffe.common.Blob< T > | |
| offset(int n, int c=0, int h=0, int w=0) | MyCaffe.common.Blob< T > | |
| offset(List< int > rgIdx) | MyCaffe.common.Blob< T > | |
| One | MyCaffe.common.Blob< T > | static |
| Padded | MyCaffe.common.Blob< T > | |
| Percentile(Blob< T > blobY, double dfPercentile) | MyCaffe.common.Blob< T > | |
| Reshape(int nNum, int nChannels, int nHeight, int nWidth, bool? bUseHalfSize=null) | MyCaffe.common.Blob< T > | |
| Reshape(List< int > rgShape, bool? bUseHalfSize=null) | MyCaffe.common.Blob< T > | |
| Reshape(int[] rgShape, bool? bUseHalfSize=null) | MyCaffe.common.Blob< T > | |
| Reshape(BlobShape shape, bool? bUseHalfSize=null) | MyCaffe.common.Blob< T > | |
| reshape_when_sharing | MyCaffe.common.Blob< T > | |
| ReshapeLike(Blob< T > b, bool? bUseHalfSize=null) | MyCaffe.common.Blob< T > | |
| Resize(List< int > rgShape) | MyCaffe.common.Blob< T > | |
| Save(BinaryWriter bw, bool bData, bool bDiff, bool bIncludeName=true) | MyCaffe.common.Blob< T > | |
| SaveBinary(string strFile, bool bData, bool bDiff, bool bIncludeName=true) | MyCaffe.common.Blob< T > | |
| SaveToImage(string strFile, bool bNonZeroExistOnly=true, bool bSaveDiff=false, Dictionary< float, Color > rgSpecialValues=null) | MyCaffe.common.Blob< T > | |
| SaveToNumpy(string strFile, bool bSaveDiff=false) | MyCaffe.common.Blob< T > | |
| SaveToNumpy(string strFile, float[] rgData, int[] rgShape) | MyCaffe.common.Blob< T > | static |
| SaveToNumpy(string strFile, int[] rgData, int[] rgShape) | MyCaffe.common.Blob< T > | static |
| SaveToNumpy(string strFile, long[] rgData, int[] rgShape) | MyCaffe.common.Blob< T > | static |
| scale_data(double df) | MyCaffe.common.Blob< T > | |
| scale_data(T fScaleFactor) | MyCaffe.common.Blob< T > | |
| scale_diff(double df) | MyCaffe.common.Blob< T > | |
| scale_diff(T fScaleFactor) | MyCaffe.common.Blob< T > | |
| scale_to_range(double dfMin, double dfMax) | MyCaffe.common.Blob< T > | |
| SetCPUData(T[] rg) | MyCaffe.common.Blob< T > | |
| SetData(T[] rgData, int nCount=-1, bool bSetCount=true) | MyCaffe.common.Blob< T > | |
| SetData(T fVal, int nIdx=-1) | MyCaffe.common.Blob< T > | |
| SetData(double dfVal, int nIdx=-1) | MyCaffe.common.Blob< T > | |
| SetData(double dfVal, int nStartIdx, int nCount) | MyCaffe.common.Blob< T > | |
| SetData(SimpleDatum d, bool bReshape, bool bCopyData=true) | MyCaffe.common.Blob< T > | |
| SetDiff(double dfVal, int nIdx=-1) | MyCaffe.common.Blob< T > | |
| SetDiff(double dfVal, int nStartIdx, int nCount) | MyCaffe.common.Blob< T > | |
| SetDiff(T[] rgDiff, int nCount=-1, bool bSetCount=true) | MyCaffe.common.Blob< T > | |
| SetParameter(string strName, double dfVal) | MyCaffe.common.Blob< T > | |
| SetPixel(int nX, int nY, byte R, byte G, byte B, TransformationParameter.COLOR_ORDER order=TransformationParameter.COLOR_ORDER.RGB) | MyCaffe.common.Blob< T > | |
| SetPixel(int nX, int nY, Tuple< T, T, T > pixel, bool bReturnOriginal=false, TransformationParameter.COLOR_ORDER order=TransformationParameter.COLOR_ORDER.RGB, int nOffset=0) | MyCaffe.common.Blob< T > | |
| shape() | MyCaffe.common.Blob< T > | |
| shape(int nIdx) | MyCaffe.common.Blob< T > | |
| shape_string | MyCaffe.common.Blob< T > | |
| ShapeEquals(BlobProto bp) | MyCaffe.common.Blob< T > | |
| Share(Blob< T > b) | MyCaffe.common.Blob< T > | |
| ShareData(Blob< T > b) | MyCaffe.common.Blob< T > | |
| ShareDiff(Blob< T > b) | MyCaffe.common.Blob< T > | |
| snapshot_requested | MyCaffe.common.Blob< T > | |
| std(double? dfMean=null, float[] rgDf=null) | MyCaffe.common.Blob< T > | |
| sum(float[] rgDf=null, bool bDiff=false) | MyCaffe.common.Blob< T > | |
| sumsq_data() | MyCaffe.common.Blob< T > | |
| sumsq_diff() | MyCaffe.common.Blob< T > | |
| Tag | MyCaffe.common.Blob< T > | |
| ToByteArray() | MyCaffe.common.Blob< T > | |
| ToDatum() | MyCaffe.common.Blob< T > | |
| ToProto(bool bWriteDiff=false) | MyCaffe.common.Blob< T > | |
| ToSizeString() | MyCaffe.common.Blob< T > | |
| ToString() | MyCaffe.common.Blob< T > | |
| ToString(int nMax, bool bDiff=false) | MyCaffe.common.Blob< T > | |
| type | MyCaffe.common.Blob< T > | |
| Unsqueeze(int nNumAxes) | MyCaffe.common.Blob< T > | |
| Update() | MyCaffe.common.Blob< T > | |
| update_cpu_data() | MyCaffe.common.Blob< T > | |
| update_cpu_diff() | MyCaffe.common.Blob< T > | |
| ValidateData(Blob< T > work, bool bDiff=false) | MyCaffe.common.Blob< T > | |
| width | MyCaffe.common.Blob< T > | |
| Zero | MyCaffe.common.Blob< T > | static |
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