Uses of Class
org.tensorflow.framework.NodeDef

Packages that use NodeDef

Package	Description
org.nd4j.autodiff.functions
org.nd4j.autodiff.samediff
org.nd4j.imports.graphmapper.tf
org.nd4j.linalg.api.ops
org.nd4j.linalg.api.ops.impl.accum
org.nd4j.linalg.api.ops.impl.broadcast
org.nd4j.linalg.api.ops.impl.controlflow
org.nd4j.linalg.api.ops.impl.controlflow.compat
org.nd4j.linalg.api.ops.impl.layers
org.nd4j.linalg.api.ops.impl.layers.convolution
org.nd4j.linalg.api.ops.impl.layers.recurrent
org.nd4j.linalg.api.ops.impl.loss
org.nd4j.linalg.api.ops.impl.shape
org.nd4j.linalg.api.ops.impl.shape.bp
org.nd4j.linalg.api.ops.impl.shape.tensorops
org.nd4j.linalg.api.ops.impl.transforms
org.nd4j.linalg.api.ops.impl.transforms.clip
org.nd4j.linalg.api.ops.impl.transforms.dtype
org.nd4j.linalg.api.ops.impl.transforms.temp
org.nd4j.linalg.api.ops.persistence
org.nd4j.linalg.api.ops.random.custom
org.nd4j.linalg.api.ops.random.impl
org.nd4j.linalg.lossfunctions.impl
org.tensorflow.framework

Uses of NodeDef in org.nd4j.autodiff.functions

Methods in org.nd4j.autodiff.functions with parameters of type NodeDef

Modifier and Type	Method and Description
abstract void	DifferentialFunction.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph) Initialize the function from the given NodeDef

Constructors in org.nd4j.autodiff.functions with parameters of type NodeDef

Constructor and Description
DifferentialFunction(SameDiff sameDiff, NodeDef nodeDef, Map<String,AttrValue> attributesForNode, GraphDef graph) Initialize the function from the given NodeDef

Uses of NodeDef in org.nd4j.autodiff.samediff

Methods in org.nd4j.autodiff.samediff with parameters of type NodeDef

Modifier and Type	Method and Description
void	SDVariable.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

Uses of NodeDef in org.nd4j.imports.graphmapper.tf

Methods in org.nd4j.imports.graphmapper.tf that return NodeDef

Modifier and Type	Method and Description
NodeDef	TFGraphMapper.getNodeWithNameFromGraph(GraphDef graph, String name)

Methods in org.nd4j.imports.graphmapper.tf that return types with arguments of type NodeDef

Modifier and Type	Method and Description
List<NodeDef>	TFGraphMapper.getNodeList(GraphDef graphDef)
Map<String,NodeDef>	TFGraphMapper.variablesForGraph(GraphDef graphDef)

Methods in org.nd4j.imports.graphmapper.tf with parameters of type NodeDef

Modifier and Type	Method and Description
boolean	TFGraphMapper.alreadySeen(NodeDef nodeDef)
DataBuffer.Type	TFGraphMapper.dataTypeForTensor(NodeDef tensorProto)
INDArray	TFGraphMapper.getArrayFrom(NodeDef nodeDef, GraphDef graph)
Map<String,AttrValue>	TFGraphMapper.getAttrMap(NodeDef nodeDef)
String	TFGraphMapper.getAttrValueFromNode(NodeDef nodeDef, String key)
String	TFGraphMapper.getInputFromNode(NodeDef node, int index)
String	TFGraphMapper.getName(NodeDef nodeDef)
INDArray	TFGraphMapper.getNDArrayFromTensor(String tensorName, NodeDef node, GraphDef graph)
String	TFGraphMapper.getOpType(NodeDef nodeDef)
long[]	TFGraphMapper.getShape(NodeDef nodeDef)
long[]	TFGraphMapper.getShapeFromTensor(NodeDef tensorProto)
String	TFGraphMapper.getTargetMappingForOp(DifferentialFunction function, NodeDef node)
boolean	TFGraphMapper.hasShape(NodeDef nodeDef)
protected void	TFGraphMapper.importCondition(String conditionName, NodeDef tfNode, ImportState<GraphDef,NodeDef> importState)
void	TFGraphMapper.initFunctionFromProperties(DifferentialFunction on, Map<String,AttrValue> attributesForNode, NodeDef node, GraphDef graph) Calls TFGraphMapper.initFunctionFromProperties(DifferentialFunction, Map, NodeDef, GraphDef) using DifferentialFunction.tensorflowName()
void	TFGraphMapper.initFunctionFromProperties(String mappedTfName, DifferentialFunction on, Map<String,AttrValue> attributesForNode, NodeDef node, GraphDef graph) Init a function's attributes
boolean	TFGraphMapper.isConstant(NodeDef nodeDef)
boolean	TFGraphMapper.isOpIgnoreException(NodeDef node)
boolean	TFGraphMapper.isPlaceHolder(NodeDef nodeDef)
boolean	TFGraphMapper.isPlaceHolderNode(NodeDef node) Returns true if the given node is a place holder
boolean	TFGraphMapper.isVariableNode(NodeDef nodeDef)
void	TFGraphMapper.mapNodeType(NodeDef tfNode, ImportState<GraphDef,NodeDef> importState)
void	TFGraphMapper.mapProperty(String name, DifferentialFunction on, NodeDef node, GraphDef graph, SameDiff sameDiff, Map<String,Map<String,PropertyMapping>> propertyMappingsForFunction)
IfImportState	TFGraphMapper.nodesForIf(NodeDef from, GraphDef graph) Returns the node for an if statement
int	TFGraphMapper.numInputsFor(NodeDef nodeDef)
boolean	TFGraphMapper.shouldSkip(NodeDef opType)
String	TFGraphMapper.translateToSameDiffName(String name, NodeDef node)
boolean	TFGraphMapper.unknownTypeNodeImportable(NodeDef tensorProto)

Method parameters in org.nd4j.imports.graphmapper.tf with type arguments of type NodeDef

Modifier and Type	Method and Description
protected void	TFGraphMapper.importCondition(String conditionName, NodeDef tfNode, ImportState<GraphDef,NodeDef> importState)
void	TFGraphMapper.mapNodeType(NodeDef tfNode, ImportState<GraphDef,NodeDef> importState)

Uses of NodeDef in org.nd4j.linalg.api.ops

Methods in org.nd4j.linalg.api.ops with parameters of type NodeDef

Modifier and Type	Method and Description
protected boolean	BaseAccumulation.hasReductionIndices(NodeDef nodeDef)
void	NoOp.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	DynamicCustomOp.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	BaseAccumulation.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	BaseOp.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	BaseBroadcastOp.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

Uses of NodeDef in org.nd4j.linalg.api.ops.impl.accum

Methods in org.nd4j.linalg.api.ops.impl.accum with parameters of type NodeDef

Modifier and Type	Method and Description
void	Mmul.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Moments.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	CumProd.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	TensorMmul.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	CumSum.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	NormalizeMoments.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

Uses of NodeDef in org.nd4j.linalg.api.ops.impl.broadcast

Methods in org.nd4j.linalg.api.ops.impl.broadcast with parameters of type NodeDef

Modifier and Type	Method and Description
void	BiasAdd.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	BroadcastTo.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

Uses of NodeDef in org.nd4j.linalg.api.ops.impl.controlflow

Methods in org.nd4j.linalg.api.ops.impl.controlflow with parameters of type NodeDef

Modifier and Type	Method and Description
void	If.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Select.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	While.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

Uses of NodeDef in org.nd4j.linalg.api.ops.impl.controlflow.compat

Methods in org.nd4j.linalg.api.ops.impl.controlflow.compat with parameters of type NodeDef

Modifier and Type	Method and Description
void	Enter.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	NextIteration.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	BaseCompatOp.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Merge.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Exit.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Switch.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	LoopCond.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

Uses of NodeDef in org.nd4j.linalg.api.ops.impl.layers

Methods in org.nd4j.linalg.api.ops.impl.layers with parameters of type NodeDef

Modifier and Type	Method and Description
void	Linear.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

Uses of NodeDef in org.nd4j.linalg.api.ops.impl.layers.convolution

Methods in org.nd4j.linalg.api.ops.impl.layers.convolution with parameters of type NodeDef

Modifier and Type	Method and Description
void	AvgPooling2D.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	SpaceToDepth.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Conv2D.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	DeConv2DTF.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	LocalResponseNormalization.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Pooling2D.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	DeConv2D.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	MaxPooling2D.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Conv1D.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	DepthwiseConv2D.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	DepthToSpace.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Conv3D.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Pooling3D.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	BatchNorm.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

Uses of NodeDef in org.nd4j.linalg.api.ops.impl.layers.recurrent

Methods in org.nd4j.linalg.api.ops.impl.layers.recurrent with parameters of type NodeDef

Modifier and Type	Method and Description
void	SRUCell.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	SRU.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	LSTMCell.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	GRUCell.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

Uses of NodeDef in org.nd4j.linalg.api.ops.impl.loss

Methods in org.nd4j.linalg.api.ops.impl.loss with parameters of type NodeDef

Modifier and Type	Method and Description
void	SparseSoftmaxCrossEntropyLossWithLogits.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	SoftmaxCrossEntropyLoss.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	SigmoidCrossEntropyLoss.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	SoftmaxCrossEntropyWithLogitsLoss.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

Uses of NodeDef in org.nd4j.linalg.api.ops.impl.shape

Methods in org.nd4j.linalg.api.ops.impl.shape with parameters of type NodeDef

Modifier and Type	Method and Description
void	MergeSum.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Slice.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Diag.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	MergeMax.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	ParallelStack.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Unstack.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	DiagPart.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	OnesLike.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	ApplyGradientDescent.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Shape.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Repeat.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Stack.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Tile.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Reshape.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	SplitV.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	ExpandDims.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Rank.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	MergeAvg.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Split.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	ConfusionMatrix.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	OneHot.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Squeeze.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	StridedSlice.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	ZerosLike.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Transpose.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Gather.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	SequenceMask.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Concat.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

Uses of NodeDef in org.nd4j.linalg.api.ops.impl.shape.bp

Methods in org.nd4j.linalg.api.ops.impl.shape.bp with parameters of type NodeDef

Modifier and Type	Method and Description
void	ConcatBp.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

Uses of NodeDef in org.nd4j.linalg.api.ops.impl.shape.tensorops

Methods in org.nd4j.linalg.api.ops.impl.shape.tensorops with parameters of type NodeDef

Modifier and Type	Method and Description
void	TensorArrayV3.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	BaseTensorOp.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	TensorSizeV3.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

Uses of NodeDef in org.nd4j.linalg.api.ops.impl.transforms

Methods in org.nd4j.linalg.api.ops.impl.transforms with parameters of type NodeDef

Modifier and Type	Method and Description
void	ParallelConcat.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	ReverseSequence.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	MirrorPad.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	RectifiedTanh.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	BinCount.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	DynamicStitch.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Pow.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Pad.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Assign.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	InTopK.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Dilation2D.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Svd.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Fill.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	DynamicPartition.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	HistogramFixedWidth.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	TopK.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

Uses of NodeDef in org.nd4j.linalg.api.ops.impl.transforms.clip

Methods in org.nd4j.linalg.api.ops.impl.transforms.clip with parameters of type NodeDef

Modifier and Type	Method and Description
void	ClipByValue.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	ClipByNorm.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

Uses of NodeDef in org.nd4j.linalg.api.ops.impl.transforms.dtype

Methods in org.nd4j.linalg.api.ops.impl.transforms.dtype with parameters of type NodeDef

Modifier and Type	Method and Description
void	Cast.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

Uses of NodeDef in org.nd4j.linalg.api.ops.impl.transforms.temp

Methods in org.nd4j.linalg.api.ops.impl.transforms.temp with parameters of type NodeDef

Modifier and Type	Method and Description
void	ExternalErrorsFunction.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

Uses of NodeDef in org.nd4j.linalg.api.ops.persistence

Methods in org.nd4j.linalg.api.ops.persistence with parameters of type NodeDef

Modifier and Type	Method and Description
void	SaveV2.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	RestoreV2.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

Uses of NodeDef in org.nd4j.linalg.api.ops.random.custom

Methods in org.nd4j.linalg.api.ops.random.custom with parameters of type NodeDef

Modifier and Type	Method and Description
void	DistributionUniform.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

Uses of NodeDef in org.nd4j.linalg.api.ops.random.impl

Methods in org.nd4j.linalg.api.ops.random.impl with parameters of type NodeDef

Modifier and Type	Method and Description
void	Range.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	DropOutInverted.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

Uses of NodeDef in org.nd4j.linalg.lossfunctions.impl

Methods in org.nd4j.linalg.lossfunctions.impl with parameters of type NodeDef

Modifier and Type	Method and Description
void	LossMultiLabel.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	LossMCXENT.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	LossMixtureDensity.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	LossKLD.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	LossSquaredHinge.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	LossCosineProximity.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	LossHinge.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	LossL1.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	LossBinaryXENT.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	LossMAPE.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	LossMSE.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	LossFMeasure.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	LossPoisson.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	LossMAE.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	LossMSLE.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	LossL2.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

Uses of NodeDef in org.tensorflow.framework

Methods in org.tensorflow.framework that return NodeDef

Modifier and Type	Method and Description
NodeDef	NodeDef.Builder.build()
NodeDef	NodeDef.Builder.buildPartial()
static NodeDef	NodeDef.getDefaultInstance()
NodeDef	NodeDef.getDefaultInstanceForType()
NodeDef	NodeDef.Builder.getDefaultInstanceForType()
NodeDef	GraphDefOrBuilder.getNode(int index) repeated .tensorflow.NodeDef node = 1;
NodeDef	GraphDef.getNode(int index) repeated .tensorflow.NodeDef node = 1;
NodeDef	GraphDef.Builder.getNode(int index) repeated .tensorflow.NodeDef node = 1;
NodeDef	FunctionDefOrBuilder.getNodeDef(int index) By convention, "op" in node_def is resolved by consulting with a user-defined library first.
NodeDef	FunctionDef.getNodeDef(int index) By convention, "op" in node_def is resolved by consulting with a user-defined library first.
NodeDef	FunctionDef.Builder.getNodeDef(int index) By convention, "op" in node_def is resolved by consulting with a user-defined library first.
static NodeDef	NodeDef.parseDelimitedFrom(InputStream input)
static NodeDef	NodeDef.parseDelimitedFrom(InputStream input, com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry)
static NodeDef	NodeDef.parseFrom(byte[] data)
static NodeDef	NodeDef.parseFrom(byte[] data, com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry)
static NodeDef	NodeDef.parseFrom(ByteBuffer data)
static NodeDef	NodeDef.parseFrom(ByteBuffer data, com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry)
static NodeDef	NodeDef.parseFrom(com.github.os72.protobuf351.ByteString data)
static NodeDef	NodeDef.parseFrom(com.github.os72.protobuf351.ByteString data, com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry)
static NodeDef	NodeDef.parseFrom(com.github.os72.protobuf351.CodedInputStream input)
static NodeDef	NodeDef.parseFrom(com.github.os72.protobuf351.CodedInputStream input, com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry)
static NodeDef	NodeDef.parseFrom(InputStream input)
static NodeDef	NodeDef.parseFrom(InputStream input, com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry)

Methods in org.tensorflow.framework that return types with arguments of type NodeDef

Modifier and Type	Method and Description
List<NodeDef>	FunctionDefOrBuilder.getNodeDefList() By convention, "op" in node_def is resolved by consulting with a user-defined library first.
List<NodeDef>	FunctionDef.getNodeDefList() By convention, "op" in node_def is resolved by consulting with a user-defined library first.
List<NodeDef>	FunctionDef.Builder.getNodeDefList() By convention, "op" in node_def is resolved by consulting with a user-defined library first.
List<NodeDef>	GraphDefOrBuilder.getNodeList() repeated .tensorflow.NodeDef node = 1;
List<NodeDef>	GraphDef.getNodeList() repeated .tensorflow.NodeDef node = 1;
List<NodeDef>	GraphDef.Builder.getNodeList() repeated .tensorflow.NodeDef node = 1;
com.github.os72.protobuf351.Parser<NodeDef>	NodeDef.getParserForType()
static com.github.os72.protobuf351.Parser<NodeDef>	NodeDef.parser()

Methods in org.tensorflow.framework with parameters of type NodeDef

Modifier and Type	Method and Description
GraphDef.Builder	GraphDef.Builder.addNode(int index, NodeDef value) repeated .tensorflow.NodeDef node = 1;
GraphDef.Builder	GraphDef.Builder.addNode(NodeDef value) repeated .tensorflow.NodeDef node = 1;
FunctionDef.Builder	FunctionDef.Builder.addNodeDef(int index, NodeDef value) By convention, "op" in node_def is resolved by consulting with a user-defined library first.
FunctionDef.Builder	FunctionDef.Builder.addNodeDef(NodeDef value) By convention, "op" in node_def is resolved by consulting with a user-defined library first.
NodeDef.Builder	NodeDef.Builder.mergeFrom(NodeDef other)
static NodeDef.Builder	NodeDef.newBuilder(NodeDef prototype)
GraphDef.Builder	GraphDef.Builder.setNode(int index, NodeDef value) repeated .tensorflow.NodeDef node = 1;
FunctionDef.Builder	FunctionDef.Builder.setNodeDef(int index, NodeDef value) By convention, "op" in node_def is resolved by consulting with a user-defined library first.

Method parameters in org.tensorflow.framework with type arguments of type NodeDef

Modifier and Type	Method and Description
GraphDef.Builder	GraphDef.Builder.addAllNode(Iterable<? extends NodeDef> values) repeated .tensorflow.NodeDef node = 1;
FunctionDef.Builder	FunctionDef.Builder.addAllNodeDef(Iterable<? extends NodeDef> values) By convention, "op" in node_def is resolved by consulting with a user-defined library first.