Modifier and Type | Method and Description |
---|---|
DifferentialFunction |
DifferentialFunction.dup()
Duplicate this function
|
Modifier and Type | Method and Description |
---|---|
DifferentialFunction |
SameDiff.getOpById(@NonNull String id)
Get the function by the
DifferentialFunction#getOwnName() |
DifferentialFunction |
SameDiff.getVariableOutputOp(String variableName)
Get the differential function (if any) that this variable is the output for
|
DifferentialFunction[] |
SameDiff.ops()
Get an array of differential functions that have been defined for this SameDiff instance
|
Modifier and Type | Method and Description |
---|---|
void |
SameDiff.addArgsFor(SDVariable[] variables,
DifferentialFunction function)
Adds incoming arguments for the specified differential function to the graph
|
void |
SameDiff.addArgsFor(String[] variables,
DifferentialFunction function)
Adds incoming arguments for the specified differential function to the graph
|
void |
SameDiff.addOutgoingFor(SDVariable[] variables,
DifferentialFunction function)
Adds outgoing arguments to the graph for the specified DifferentialFunction
Also checks for input arguments and updates the graph adding an appropriate edge when the full graph is declared.
|
void |
SameDiff.addOutgoingFor(String[] varNames,
DifferentialFunction function)
Adds outgoing arguments to the graph for the specified DifferentialFunction
Also checks for input arguments and updates the graph adding an appropriate edge when the full graph is declared.
|
SDVariable[] |
SameDiff.generateOutputVariableForOp(DifferentialFunction function)
Generate the variables based on the given input op
and return the output variable names.
|
SDVariable[] |
SameDiff.generateOutputVariableForOp(DifferentialFunction function,
String baseName,
boolean isImport)
Generate the variables based on the given input op and return the output variable names.
|
String[] |
SameDiff.getInputsForOp(@NonNull DifferentialFunction function)
Returns the name(s) of the inputs for the given function
|
SDVariable[] |
SameDiff.getInputVariablesForOp(DifferentialFunction function)
Get the input variable(s) for the specified differential function
|
String[] |
SameDiff.getOutputsForOp(DifferentialFunction function)
Returns the name(s) of the outputs for the given function
|
SDVariable[] |
SameDiff.getOutputVariablesForOp(DifferentialFunction function)
Get the output variable(s) for the specified differential function
|
boolean |
SameDiff.hasArgs(DifferentialFunction function)
Returns true if this function already has defined arguments
|
void |
SameDiff.putOpForId(String id,
DifferentialFunction function)
Put the function for the given id
|
void |
SameDiff.removeArgFromOp(String varName,
DifferentialFunction function)
Remove an argument for a function.
|
void |
SameDiff.replaceArgFor(int i,
@NonNull SDVariable newArg,
@NonNull DifferentialFunction function)
Replaces the argument at i with newArg for function
Does not use (or remove) ArgumentInterceptor stuff
|
Modifier and Type | Field and Description |
---|---|
protected DifferentialFunction |
SameDiffOp.op |
Modifier and Type | Method and Description |
---|---|
DifferentialFunction |
SameDiffOp.getOp() |
Modifier and Type | Method and Description |
---|---|
INDArray[] |
InferenceSession.doExec(DifferentialFunction op,
OpContext opContext,
FrameIter outputFrameIter,
Set<AbstractSession.VarId> opInputs,
Set<AbstractSession.VarId> allIterInputs,
Set<String> constAndPhInputs) |
INDArray[] |
InferenceSession.getOutputsHelperTensorArrayOps(DifferentialFunction op,
FrameIter outputFrameIter,
Set<AbstractSession.VarId> opInputs,
Set<AbstractSession.VarId> allIterInputs)
Forward pass for TensorArray ops
|
void |
SameDiffOp.setOp(DifferentialFunction op) |
Constructor and Description |
---|
SameDiffOp(String name,
DifferentialFunction op,
List<String> inputsToOp,
List<String> outputsOfOp,
List<String> controlDeps,
List<String> varControlDeps,
List<String> controlDepFor) |
Modifier and Type | Method and Description |
---|---|
static DifferentialFunction |
FlatBuffersMapper.cloneViaSerialize(SameDiff sd,
DifferentialFunction df) |
static DifferentialFunction |
FlatBuffersMapper.cloneViaSerialize(SameDiff sd,
DifferentialFunction df,
Map<String,Integer> nameToIdxMap) |
static DifferentialFunction |
FlatBuffersMapper.fromFlatNode(FlatNode fn) |
Modifier and Type | Method and Description |
---|---|
static int |
FlatBuffersMapper.asFlatNode(@NonNull SameDiff sameDiff,
@NonNull DifferentialFunction node,
@NonNull com.google.flatbuffers.FlatBufferBuilder bufferBuilder,
List<SDVariable> variables,
Map<String,Integer> reverseMap,
Map<String,Integer> forwardMap,
Map<String,Integer> framesMap,
AtomicInteger idCounter,
Integer id) |
static DifferentialFunction |
FlatBuffersMapper.cloneViaSerialize(SameDiff sd,
DifferentialFunction df) |
static DifferentialFunction |
FlatBuffersMapper.cloneViaSerialize(SameDiff sd,
DifferentialFunction df,
Map<String,Integer> nameToIdxMap) |
Modifier and Type | Field and Description |
---|---|
protected DifferentialFunction |
SubGraph.rootNode |
Modifier and Type | Field and Description |
---|---|
protected List<DifferentialFunction> |
SubGraph.childNodes |
Modifier and Type | Method and Description |
---|---|
List<DifferentialFunction> |
SubGraph.allFunctionsInSubgraph() |
Modifier and Type | Method and Description |
---|---|
SubGraph |
SubGraphPredicate.getSubGraph(SameDiff sd,
DifferentialFunction rootFn)
Get the SubGraph that matches the predicate
|
boolean |
SubGraph.inSubgraph(DifferentialFunction df) |
boolean |
SubGraphPredicate.matches(SameDiff sameDiff,
DifferentialFunction rootFn)
Determine if the subgraph, starting with the root function, matches the predicate
|
abstract boolean |
OpPredicate.matches(SameDiff sameDiff,
DifferentialFunction function) |
Modifier and Type | Method and Description |
---|---|
static void |
SameDiffUtils.validateDifferentialFunctionSameDiff(SameDiff sameDiff,
SDVariable function,
DifferentialFunction op) |
Modifier and Type | Method and Description |
---|---|
DifferentialFunction |
DifferentialFunctionClassHolder.getInstance(String name) |
DifferentialFunction |
DifferentialFunctionClassHolder.getOpWithOnnxName(String onnxName) |
DifferentialFunction |
DifferentialFunctionClassHolder.getOpWithTensorflowName(String tensorflowName)
Get the
|
Modifier and Type | Method and Description |
---|---|
static Map<String,DifferentialFunction> |
ImportClassMapping.getOnnxOpMappingFunctions() |
static Map<String,DifferentialFunction> |
ImportClassMapping.getOpNameMapping() |
Map<String,DifferentialFunction> |
DifferentialFunctionClassHolder.getTensorFlowNames() |
static Map<String,DifferentialFunction> |
ImportClassMapping.getTFOpMappingFunctions() |
Modifier and Type | Method and Description |
---|---|
Map<String,Field> |
DifferentialFunctionClassHolder.getFieldsForFunction(DifferentialFunction function)
Get the fields for a given
DifferentialFunction |
Modifier and Type | Method and Description |
---|---|
void |
AttributeAdapter.mapAttributeFor(Object inputAttributeValue,
Field fieldFor,
DifferentialFunction on)
Map the attribute using the specified field
on the specified function on
adapting the given input type to
the type of the field for the specified function.
|
Modifier and Type | Method and Description |
---|---|
void |
SizeThresholdIntArrayIntIndexAdapter.mapAttributeFor(Object inputAttributeValue,
Field fieldFor,
DifferentialFunction on) |
void |
IntArrayIntIndexAdapter.mapAttributeFor(Object inputAttributeValue,
Field fieldFor,
DifferentialFunction on) |
void |
NDArrayShapeAdapter.mapAttributeFor(Object inputAttributeValue,
Field fieldFor,
DifferentialFunction on) |
void |
ConditionalFieldValueIntIndexArrayAdapter.mapAttributeFor(Object inputAttributeValue,
Field fieldFor,
DifferentialFunction on) |
void |
BooleanAdapter.mapAttributeFor(Object inputAttributeValue,
Field fieldFor,
DifferentialFunction on) |
void |
ConditionalFieldValueNDArrayShapeAdapter.mapAttributeFor(Object inputAttributeValue,
Field fieldFor,
DifferentialFunction on) |
void |
DataTypeAdapter.mapAttributeFor(Object inputAttributeValue,
Field fieldFor,
DifferentialFunction on) |
void |
StringEqualsAdapter.mapAttributeFor(Object inputAttributeValue,
Field fieldFor,
DifferentialFunction on) |
void |
StringNotEqualsAdapter.mapAttributeFor(Object inputAttributeValue,
Field fieldFor,
DifferentialFunction on) |
Modifier and Type | Method and Description |
---|---|
static void |
TFGraphMapper.initFunctionFromProperties(String mappedTfName,
DifferentialFunction on,
Map<String,AttrValue> attributesForNode,
NodeDef node,
GraphDef graph)
Deprecated.
To be removed
|
Modifier and Type | Class and Description |
---|---|
class |
BaseBroadcastBoolOp |
class |
BaseBroadcastOp |
class |
BaseIndexAccumulation |
class |
BaseOp |
class |
BaseReduceBoolOp |
class |
BaseReduceFloatOp |
class |
BaseReduceLongOp |
class |
BaseReduceOp |
class |
BaseReduceSameOp |
class |
BaseScalarBoolOp |
class |
BaseScalarOp |
class |
BaseTransformAnyOp |
class |
BaseTransformBoolOp |
class |
BaseTransformFloatOp |
class |
BaseTransformOp |
class |
BaseTransformSameOp |
class |
BaseTransformStrictOp |
class |
DynamicCustomOp |
class |
NoOp |
Modifier and Type | Class and Description |
---|---|
class |
CompatSparseToDense |
class |
CompatStringSplit |
Modifier and Type | Class and Description |
---|---|
class |
DecodeBitmap |
class |
DecodeThreshold |
class |
EncodeBitmap |
class |
EncodeThreshold |
Modifier and Type | Class and Description |
---|---|
class |
AdjustContrast |
class |
AdjustHue |
class |
AdjustSaturation |
class |
BarnesEdgeForces |
class |
BarnesHutGains |
class |
BarnesHutSymmetrize |
class |
BetaInc |
class |
BitCast |
class |
CompareAndBitpack |
class |
Digamma |
class |
DivideNoNan |
class |
DrawBoundingBoxes |
class |
FakeQuantWithMinMaxVarsPerChannel |
class |
Flatten |
class |
FusedBatchNorm |
class |
HsvToRgb |
class |
Igamma |
class |
Igammac |
class |
KnnMinDistance |
class |
Lgamma |
class |
LinearSolve |
class |
Logdet |
class |
Lstsq |
class |
Lu |
class |
MatrixBandPart |
class |
Polygamma |
class |
RandomCrop |
class |
RgbToGrayscale |
class |
RgbToHsv |
class |
RgbToYiq |
class |
RgbToYuv |
class |
Roll |
class |
SpTreeCell |
class |
ToggleBits |
class |
Tri |
class |
TriangularSolve |
class |
Triu |
class |
TriuBp |
class |
YiqToRgb |
class |
YuvToRgb |
Modifier and Type | Class and Description |
---|---|
class |
BiasAdd
Bias addition gradient operation.
|
class |
BiasAddGrad |
class |
BroadcastAddOp |
class |
BroadcastAMax |
class |
BroadcastAMin |
class |
BroadcastCopyOp |
class |
BroadcastDivOp |
class |
BroadcastGradientArgs |
class |
BroadcastMax |
class |
BroadcastMin |
class |
BroadcastMulOp |
class |
BroadcastRDivOp |
class |
BroadcastRSubOp |
class |
BroadcastSubOp |
class |
BroadcastTo |
Modifier and Type | Class and Description |
---|---|
class |
BroadcastEqualTo |
class |
BroadcastGreaterThan |
class |
BroadcastGreaterThanOrEqual |
class |
BroadcastLessThan |
class |
BroadcastLessThanOrEqual |
class |
BroadcastNotEqual |
Modifier and Type | Class and Description |
---|---|
class |
Select |
class |
Where |
class |
WhereNumpy |
Modifier and Type | Class and Description |
---|---|
class |
BaseCompatOp |
class |
Enter |
class |
Exit |
class |
LoopCond |
class |
Merge |
class |
NextIteration |
class |
StopGradient |
class |
Switch |
class |
While |
Modifier and Type | Class and Description |
---|---|
class |
BaseGridOp |
class |
FreeGridOp |
Modifier and Type | Class and Description |
---|---|
class |
CropAndResize |
class |
ExtractImagePatches |
class |
ImageResize |
class |
NonMaxSuppression |
class |
NonMaxSuppressionV3 |
class |
NonMaxSuppressionWithOverlaps |
class |
ResizeArea |
class |
ResizeBicubic |
class |
ResizeBilinear |
class |
ResizeNearestNeighbor |
Modifier and Type | Class and Description |
---|---|
class |
FirstIndex |
class |
LastIndex |
Modifier and Type | Class and Description |
---|---|
class |
ArgAmax |
class |
ArgAmin |
class |
ArgMax |
class |
ArgMin |
Modifier and Type | Class and Description |
---|---|
class |
ExternalErrorsFunction |
Modifier and Type | Class and Description |
---|---|
class |
GRU |
class |
GRUBp |
class |
GRUCell |
class |
LSTMBlock |
class |
LSTMBlockCell |
class |
LSTMCell |
class |
LSTMLayer |
class |
LSTMLayerBp |
class |
SRU |
class |
SRUCell |
Modifier and Type | Class and Description |
---|---|
class |
AbsoluteDifferenceLoss |
class |
BaseLoss |
class |
CosineDistanceLoss |
class |
CtcLoss |
class |
HingeLoss |
class |
HuberLoss |
class |
L2Loss
L2 loss op wrapper
|
class |
LogLoss |
class |
LogPoissonLoss |
class |
MeanPairwiseSquaredErrorLoss
Mean Pairwise Squared Error Loss
|
class |
MeanSquaredErrorLoss |
class |
SigmoidCrossEntropyLoss |
class |
SoftmaxCrossEntropyLoss |
class |
SoftmaxCrossEntropyWithLogitsLoss |
class |
SparseSoftmaxCrossEntropyLossWithLogits |
class |
WeightedCrossEntropyLoss |
Modifier and Type | Class and Description |
---|---|
class |
AbsoluteDifferenceLossBp |
class |
BaseLossBp |
class |
CosineDistanceLossBp |
class |
CtcLossBp |
class |
HingeLossBp |
class |
HuberLossBp |
class |
LogLossBp |
class |
LogPoissonLossBp |
class |
MeanPairwiseSquaredErrorLossBp |
class |
MeanSquaredErrorLossBp |
class |
SigmoidCrossEntropyLossBp |
class |
SoftmaxCrossEntropyLossBp |
class |
SoftmaxCrossEntropyWithLogitsLossBp |
class |
SparseSoftmaxCrossEntropyLossWithLogitsBp |
Modifier and Type | Class and Description |
---|---|
class |
BaseMetaOp |
class |
InvertedPredicateMetaOp |
class |
PostulateMetaOp |
class |
PredicateMetaOp |
class |
ReduceMetaOp |
Modifier and Type | Class and Description |
---|---|
class |
CbowRound |
class |
SkipGramRound |
Modifier and Type | Class and Description |
---|---|
class |
HashCode |
class |
Mmul |
class |
MmulBp |
class |
Moments |
class |
NormalizeMoments |
class |
SufficientStatistics |
class |
TensorMmul
TensorMmul
|
class |
TensorMmulBp |
class |
ZeroFraction |
Modifier and Type | Class and Description |
---|---|
class |
All |
class |
Any |
class |
IsInf |
class |
IsNaN |
Modifier and Type | Class and Description |
---|---|
class |
BaseReductionBp |
class |
CumProdBp |
class |
CumSumBp |
class |
DotBp |
class |
MaxBp |
class |
MeanBp |
class |
MinBp |
class |
Norm1Bp |
class |
Norm2Bp |
class |
NormMaxBp |
class |
PowBp |
class |
ProdBp |
class |
SquaredNormBp |
class |
StandardDeviationBp |
class |
SumBp |
class |
VarianceBp |
Modifier and Type | Class and Description |
---|---|
class |
BaseDynamicCustomBoolReduction |
class |
BaseDynamicCustomIndexReduction |
class |
BaseDynamicCustomLongReduction |
class |
BaseDynamicCustomReduction
Base class for reduction.
|
class |
BatchMmul |
class |
LogSumExp |
Modifier and Type | Class and Description |
---|---|
class |
AMean |
class |
Entropy |
class |
LogEntropy |
class |
Mean |
class |
Norm1
Sum of absolute values
|
class |
Norm2 |
class |
NormMax
The max absolute value
|
class |
ShannonEntropy |
class |
SquaredNorm |
Modifier and Type | Class and Description |
---|---|
class |
CountNonZero |
class |
CountZero |
class |
MatchCondition |
Modifier and Type | Class and Description |
---|---|
class |
AMax |
class |
AMin |
class |
ASum |
class |
Max |
class |
Min |
class |
Prod |
class |
Sum |
Modifier and Type | Class and Description |
---|---|
class |
BaseReduce3Op |
class |
CosineDistance |
class |
CosineSimilarity |
class |
Dot |
class |
EqualsWithEps |
class |
EuclideanDistance |
class |
HammingDistance |
class |
JaccardDistance |
class |
ManhattanDistance |
Modifier and Type | Class and Description |
---|---|
class |
LeakyReLU |
class |
LogX |
class |
Pow |
class |
PowDerivative |
class |
PRelu
Parameterized ReLU op
|
class |
RectifiedLinear |
class |
RectifiedLinearDerivative |
class |
Relu6 |
class |
ReplaceNans |
class |
ScalarAdd |
class |
ScalarDivision |
class |
ScalarFMod |
class |
ScalarMax |
class |
ScalarMin |
class |
ScalarMultiplication |
class |
ScalarRemainder |
class |
ScalarReverseDivision |
class |
ScalarReverseSubtraction |
class |
ScalarSet |
class |
ScalarSubtraction |
class |
Step |
Modifier and Type | Class and Description |
---|---|
class |
ScalarAnd
Return a binary (0 or 1)
when greater than a number
|
class |
ScalarEps
Return a binary (0 or 1) when greater than a number
|
class |
ScalarEquals
Return a binary (0 or 1) when greater than a number
|
class |
ScalarGreaterThan
Return a binary (0 or 1) when greater than a number
|
class |
ScalarGreaterThanOrEqual
Return a binary (0 or 1) when greater than or equal to a number
|
class |
ScalarLessThan
Return a binary (0 or 1) when less than a number
|
class |
ScalarLessThanOrEqual
Return a binary (0 or 1) when less than
or equal to a number
|
class |
ScalarNot
Return a binary (0 or 1)
when greater than a number
|
class |
ScalarNotEquals
Return a binary (0 or 1)
when greater than a number
|
class |
ScalarOr
Return a binary (0 or 1)
when greater than a number
|
class |
ScalarSetValue |
class |
ScalarXor
Return a binary (0 or 1)
when greater than a number
|
Modifier and Type | Class and Description |
---|---|
class |
ScatterAdd |
class |
ScatterDiv |
class |
ScatterMax |
class |
ScatterMin |
class |
ScatterMul |
class |
ScatterNd |
class |
ScatterNdAdd |
class |
ScatterNdSub |
class |
ScatterNdUpdate |
class |
ScatterSub |
class |
ScatterUpdate |
Modifier and Type | Class and Description |
---|---|
class |
ApplyGradientDescent |
class |
BroadcastDynamicShape |
class |
Concat |
class |
ConfusionMatrix |
class |
Create |
class |
Cross |
class |
Diag |
class |
DiagPart |
class |
ExpandDims |
class |
Eye |
class |
Flatten2D |
class |
Gather
Gather op
|
class |
GatherNd
GatherND op
|
class |
MergeAvg |
class |
MergeMax |
class |
MergeMaxIndex |
class |
MergeSum |
class |
MeshGrid |
class |
OneHot |
class |
OnesAs |
class |
OnesLike |
class |
ParallelStack |
class |
Permute |
class |
Rank |
class |
ReductionShape |
class |
Repeat |
class |
Reshape |
class |
SequenceMask |
class |
SetShape
Returns the shape of the input array.
|
class |
Shape
Returns the shape of the input array.
|
class |
ShapeN |
class |
Size |
class |
SizeAt |
class |
Slice |
class |
Split
Split op
|
class |
SplitV
SplitV op
|
class |
Squeeze |
class |
Stack |
class |
StridedSlice |
class |
Tile |
class |
Transpose |
class |
Unstack |
class |
ZerosLike |
Modifier and Type | Class and Description |
---|---|
class |
ConcatBp |
class |
MergeAvgBp |
class |
MergeMaxBp |
class |
SliceBp |
class |
StridedSliceBp |
class |
TileBp |
Modifier and Type | Class and Description |
---|---|
class |
BaseTensorOp |
class |
EmbeddingLookup |
class |
TensorArray |
class |
TensorArrayConcat |
class |
TensorArrayGather |
class |
TensorArrayRead |
class |
TensorArrayScatter |
class |
TensorArraySize |
class |
TensorArraySplit |
class |
TensorArrayWrite |
Modifier and Type | Class and Description |
---|---|
class |
StandardDeviation |
class |
Variance |
Modifier and Type | Class and Description |
---|---|
class |
Angle |
class |
Assert |
class |
BaseDynamicTransformOp |
class |
BinCount |
class |
CheckNumerics |
class |
Cholesky |
class |
Histogram |
class |
HistogramFixedWidth |
class |
IdentityN |
class |
MaxOut |
class |
NthElement |
class |
Pad |
class |
ReluLayer |
Modifier and Type | Class and Description |
---|---|
class |
Assign |
class |
IsMax
[1, 2, 3, 1] -> [0, 0, 1, 0]
|
Modifier and Type | Class and Description |
---|---|
class |
BooleanNot |
class |
IsFinite |
class |
MatchConditionTransform |
Modifier and Type | Class and Description |
---|---|
class |
ClipByAvgNorm |
class |
ClipByNorm |
class |
ClipByNormBp |
class |
ClipByValue |
Modifier and Type | Class and Description |
---|---|
class |
CompareAndReplace |
class |
CompareAndSet |
class |
Eps |
Modifier and Type | Class and Description |
---|---|
class |
SegmentMax |
class |
SegmentMean |
class |
SegmentMin |
class |
SegmentProd |
class |
SegmentSum |
Modifier and Type | Class and Description |
---|---|
class |
Cast |
class |
MinMaxDataType
Returns the min or max (0 or 1 in int arguments)
for a given data type.
|
Modifier and Type | Class and Description |
---|---|
class |
RSqrt |
class |
Sqrt |
Modifier and Type | Class and Description |
---|---|
class |
CubeBp |
class |
CubeDerivative
Deprecated.
|
class |
DynamicPartitionBp |
class |
EluBp |
class |
GradientBackwardsMarker |
class |
HardSigmoidBp |
class |
HardSigmoidDerivative
Deprecated.
|
class |
HardTanhBp |
class |
HardTanhDerivative
Deprecated.
|
class |
LeakyReLUBp |
class |
LeakyReLUDerivative |
class |
LogSoftMaxDerivative |
class |
PReluBp |
class |
RationalTanhBp |
class |
RationalTanhDerivative
Deprecated.
|
class |
RectifiedTanhBp |
class |
RectifiedTanhDerivative
Deprecated.
|
class |
Relu6Derivative |
class |
SeluBp |
class |
SELUDerivative
Deprecated.
|
class |
SoftmaxBp |
class |
SoftPlusBp |
class |
SoftSignBp |
class |
SoftSignDerivative
Deprecated.
|
class |
ThresholdReluBp |
Modifier and Type | Class and Description |
---|---|
class |
BinaryMinimalRelativeError |
class |
BinaryRelativeError |
class |
RelativeError |
class |
Set
Set
|
Modifier and Type | Class and Description |
---|---|
class |
AddOp
Addition operation
|
class |
Axpy |
class |
CopyOp |
class |
DivOp
Division operation
|
class |
FloorDivOp |
class |
FloorModOp |
class |
FModOp |
class |
MergeAddOp |
class |
ModOp |
class |
MulOp |
class |
PowPairwise |
class |
RDivOp
Reverse Division operation
|
class |
RealDivOp
RealDivision operation
|
class |
RemainderOp |
class |
RSubOp |
class |
SquaredDifferenceOp |
class |
SubOp |
class |
TruncateDivOp |
Modifier and Type | Class and Description |
---|---|
class |
AddBpOp |
class |
BaseArithmeticBackpropOp |
class |
DivBpOp |
class |
FloorDivBpOp |
class |
FloorModBpOp |
class |
MergeAddBp |
class |
ModBpOp |
class |
MulBpOp |
class |
RDivBpOp |
class |
RSubBpOp |
class |
SquaredDifferenceBpOp |
class |
SubBpOp |
Modifier and Type | Class and Description |
---|---|
class |
And |
class |
Not |
class |
Or |
class |
Xor |
Modifier and Type | Class and Description |
---|---|
class |
Abs |
class |
Ceil |
class |
Cube |
class |
Floor |
class |
Identity |
class |
Negative |
class |
OneMinus
1 - input
|
class |
Reciprocal |
class |
Round |
class |
Sign |
class |
Square |
class |
TimesOneMinus |
Modifier and Type | Class and Description |
---|---|
class |
UnsortedSegmentMax |
class |
UnsortedSegmentMean |
class |
UnsortedSegmentMin |
class |
UnsortedSegmentProd |
class |
UnsortedSegmentSqrtN |
class |
UnsortedSegmentSum |
Modifier and Type | Class and Description |
---|---|
class |
SegmentMaxBp |
class |
SegmentMeanBp |
class |
SegmentMinBp |
class |
SegmentProdBp |
class |
SegmentSumBp |
class |
UnsortedSegmentMaxBp |
class |
UnsortedSegmentMeanBp |
class |
UnsortedSegmentMinBp |
class |
UnsortedSegmentProdBp |
class |
UnsortedSegmentSqrtNBp |
class |
UnsortedSegmentSumBp |
Modifier and Type | Class and Description |
---|---|
class |
ACos |
class |
ACosh |
class |
ASin |
class |
ASinh |
class |
ATan |
class |
ATanh |
class |
Cos |
class |
Cosh |
class |
ELU |
class |
Erf |
class |
Erfc |
class |
Exp |
class |
Expm1 |
class |
GELU |
class |
GELUDerivative
GELU derivative
|
class |
HardSigmoid |
class |
HardTanh |
class |
Log |
class |
Log1p |
class |
LogSigmoid |
class |
Mish |
class |
MishDerivative |
class |
PreciseGELU |
class |
PreciseGELUDerivative
GELU derivative
|
class |
RationalTanh |
class |
RectifiedTanh |
class |
Rint |
class |
SELU |
class |
SetRange |
class |
Sigmoid |
class |
SigmoidDerivative
Deprecated.
|
class |
Sin |
class |
Sinh |
class |
SoftPlus |
class |
SoftSign |
class |
Stabilize |
class |
Swish |
class |
SwishDerivative
Swish derivative
|
class |
Tan |
class |
TanDerivative |
class |
Tanh |
class |
TanhDerivative
Deprecated.
|
Modifier and Type | Class and Description |
---|---|
class |
AdaBeliefUpdater |
class |
AdaDeltaUpdater |
class |
AdaGradUpdater |
class |
AdaMaxUpdater |
class |
AdamUpdater |
class |
AmsGradUpdater |
class |
NadamUpdater |
class |
NesterovsUpdater |
class |
RmsPropUpdater |
class |
SgdUpdater |
Modifier and Type | Class and Description |
---|---|
class |
RestoreV2 |
class |
SaveV2 |
Modifier and Type | Class and Description |
---|---|
class |
BaseRandomOp |
Modifier and Type | Class and Description |
---|---|
class |
RandomStandardNormal |
Modifier and Type | Class and Description |
---|---|
class |
DistributionUniform |
class |
RandomBernoulli |
class |
RandomExponential |
class |
RandomGamma |
class |
RandomNormal |
class |
RandomPoisson |
class |
RandomShuffle |
Modifier and Type | Class and Description |
---|---|
class |
AlphaDropOut |
class |
BernoulliDistribution |
class |
BinomialDistribution |
class |
BinomialDistributionEx |
class |
Choice |
class |
DropOut |
class |
DropOutInverted |
class |
GaussianDistribution |
class |
Linspace |
class |
LogNormalDistribution |
class |
ProbablisticMerge |
class |
Range |
class |
TruncatedNormalDistribution |
class |
UniformDistribution |
Modifier and Type | Class and Description |
---|---|
class |
PrintAffinity |
class |
PrintVariable |
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