Uses of Class
org.tensorflow.framework.GraphDef

Packages that use GraphDef

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.custom
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.image
org.nd4j.linalg.api.ops.impl.indexaccum.custom
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.reduce
org.nd4j.linalg.api.ops.impl.scalar
org.nd4j.linalg.api.ops.impl.scatter
org.nd4j.linalg.api.ops.impl.shape
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.custom
org.nd4j.linalg.api.ops.impl.transforms.dtype
org.nd4j.linalg.api.ops.impl.transforms.strict
org.nd4j.linalg.api.ops.persistence
org.nd4j.linalg.api.ops.random.custom
org.nd4j.linalg.api.ops.random.impl
org.tensorflow.distruntime
org.tensorflow.framework

Uses of GraphDef in org.nd4j.autodiff.functions

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

Modifier and Type	Method	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 GraphDef

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

Uses of GraphDef in org.nd4j.autodiff.samediff

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

Modifier and Type	Method	Description
static SameDiff	SameDiff.importFrozenTF(GraphDef graphDef)	See SameDiff.importFrozenTF(File)

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

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

Modifier and Type	Method	Description
static INDArray	TFGraphMapper.getArrayFrom(NodeDef nodeDef, GraphDef graph)	Deprecated.
static NodeDef	TFGraphMapper.getNodeWithNameFromGraph(GraphDef graph, String name)	Deprecated.
static SameDiff	TFGraphMapper.importGraph(@NonNull GraphDef tfGraph)	Import a TensorFlow model from a GraphDef
static SameDiff	TFGraphMapper.importGraph(@NonNull GraphDef tfGraph, Map<String,TFImportOverride> importOverride, TFOpImportFilter opFilter)	Import a TensorFlow model from a GraphDef, with optional import overrides
static void	TFGraphMapper.initFunctionFromProperties(String mappedTfName, DifferentialFunction on, Map<String,AttrValue> attributesForNode, NodeDef node, GraphDef graph)	Deprecated. To be removed

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

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

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

Uses of GraphDef in org.nd4j.linalg.api.ops.custom

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

Modifier and Type	Method	Description
void	BitCast.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	FakeQuantWithMinMaxVarsPerChannel.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	FusedBatchNorm.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	LinearSolve.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Lu.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	TriangularSolve.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

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

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

Modifier and Type	Method	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 GraphDef in org.nd4j.linalg.api.ops.impl.controlflow

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

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

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

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

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

Uses of GraphDef in org.nd4j.linalg.api.ops.impl.image

Methods in org.nd4j.linalg.api.ops.impl.image with parameters of type GraphDef

Modifier and Type	Method	Description
void	CropAndResize.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	ExtractImagePatches.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	ResizeArea.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	ResizeBicubic.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	ResizeBilinear.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	ResizeNearestNeighbor.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

Uses of GraphDef in org.nd4j.linalg.api.ops.impl.indexaccum.custom

Methods in org.nd4j.linalg.api.ops.impl.indexaccum.custom with parameters of type GraphDef

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

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

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

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

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

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

Modifier and Type	Method	Description
void	AvgPooling2D.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	BatchNorm.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	Conv3D.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	DeConv2DTF.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	DeConv3DTF.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	DepthwiseConv2D.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	MaxPooling2D.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	MaxPoolWithArgmax.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	Pooling3D.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	SpaceToDepth.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

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

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

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

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

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

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

Uses of GraphDef in org.nd4j.linalg.api.ops.impl.reduce

Methods in org.nd4j.linalg.api.ops.impl.reduce with parameters of type GraphDef

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

Uses of GraphDef in org.nd4j.linalg.api.ops.impl.scalar

Methods in org.nd4j.linalg.api.ops.impl.scalar with parameters of type GraphDef

Modifier and Type	Method	Description
void	LeakyReLU.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Relu6.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

Uses of GraphDef in org.nd4j.linalg.api.ops.impl.scatter

Methods in org.nd4j.linalg.api.ops.impl.scatter with parameters of type GraphDef

Modifier and Type	Method	Description
void	ScatterAdd.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	ScatterDiv.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	ScatterMax.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	ScatterMin.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	ScatterMul.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	ScatterNd.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	ScatterNdAdd.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	ScatterNdSub.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	ScatterNdUpdate.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	ScatterSub.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	ScatterUpdate.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

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

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

Modifier and Type	Method	Description
void	ApplyGradientDescent.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Concat.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	Create.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	DiagPart.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	Flatten2D.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	Linspace.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	MergeMax.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	MergeSum.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	OnesAs.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	ParallelStack.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	Reshape.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	SetShape.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	ShapeN.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Size.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	SplitV.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	Stack.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	Tile.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	Unstack.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	ZerosLike.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

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

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

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

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

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

Modifier and Type	Method	Description
void	BinCount.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	CheckNumerics.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Cholesky.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	NthElement.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Pad.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

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

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

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

Uses of GraphDef in org.nd4j.linalg.api.ops.impl.transforms.custom

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

Modifier and Type	Method	Description
void	Assign.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	CumSum.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	DynamicPartition.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	FakeQuantWithMinMaxArgs.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	FakeQuantWithMinMaxVars.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	InTopK.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	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	ReverseV2.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	TopK.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	Unique.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
void	UniqueWithCounts.initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)

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

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

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

Uses of GraphDef in org.nd4j.linalg.api.ops.impl.transforms.strict

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

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

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

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

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

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

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

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

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

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

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

Uses of GraphDef in org.tensorflow.distruntime

Methods in org.tensorflow.distruntime that return GraphDef

Modifier and Type	Method	Description
GraphDef	CreateSessionRequest.Builder.getGraphDef()	The initial graph definition.
GraphDef	CreateSessionRequest.getGraphDef()	The initial graph definition.
GraphDef	CreateSessionRequestOrBuilder.getGraphDef()	The initial graph definition.
GraphDef	ExtendSessionRequest.Builder.getGraphDef()	REQUIRED: The nodes to be added to the session's graph.
GraphDef	ExtendSessionRequest.getGraphDef()	REQUIRED: The nodes to be added to the session's graph.
GraphDef	ExtendSessionRequestOrBuilder.getGraphDef()	REQUIRED: The nodes to be added to the session's graph.
GraphDef	RegisterGraphRequest.Builder.getGraphDef()	"graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.
GraphDef	RegisterGraphRequest.getGraphDef()	"graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.
GraphDef	RegisterGraphRequestOrBuilder.getGraphDef()	"graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.
GraphDef	RunGraphResponse.Builder.getPartitionGraph(int index)	repeated .tensorflow.GraphDef partition_graph = 4;
GraphDef	RunGraphResponse.getPartitionGraph(int index)	repeated .tensorflow.GraphDef partition_graph = 4;
GraphDef	RunGraphResponseOrBuilder.getPartitionGraph(int index)	repeated .tensorflow.GraphDef partition_graph = 4;

Methods in org.tensorflow.distruntime that return types with arguments of type GraphDef

Modifier and Type	Method	Description
List<GraphDef>	RunGraphResponse.Builder.getPartitionGraphList()	repeated .tensorflow.GraphDef partition_graph = 4;
List<GraphDef>	RunGraphResponse.getPartitionGraphList()	repeated .tensorflow.GraphDef partition_graph = 4;
List<GraphDef>	RunGraphResponseOrBuilder.getPartitionGraphList()	repeated .tensorflow.GraphDef partition_graph = 4;

Methods in org.tensorflow.distruntime with parameters of type GraphDef

Modifier and Type	Method	Description
RunGraphResponse.Builder	RunGraphResponse.Builder.addPartitionGraph(int index, GraphDef value)	repeated .tensorflow.GraphDef partition_graph = 4;
RunGraphResponse.Builder	RunGraphResponse.Builder.addPartitionGraph(GraphDef value)	repeated .tensorflow.GraphDef partition_graph = 4;
CreateSessionRequest.Builder	CreateSessionRequest.Builder.mergeGraphDef(GraphDef value)	The initial graph definition.
ExtendSessionRequest.Builder	ExtendSessionRequest.Builder.mergeGraphDef(GraphDef value)	REQUIRED: The nodes to be added to the session's graph.
RegisterGraphRequest.Builder	RegisterGraphRequest.Builder.mergeGraphDef(GraphDef value)	"graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.
CreateSessionRequest.Builder	CreateSessionRequest.Builder.setGraphDef(GraphDef value)	The initial graph definition.
ExtendSessionRequest.Builder	ExtendSessionRequest.Builder.setGraphDef(GraphDef value)	REQUIRED: The nodes to be added to the session's graph.
RegisterGraphRequest.Builder	RegisterGraphRequest.Builder.setGraphDef(GraphDef value)	"graph_def" has the subgraph of nodes for this worker, with each node having its device_name filled in.
RunGraphResponse.Builder	RunGraphResponse.Builder.setPartitionGraph(int index, GraphDef value)	repeated .tensorflow.GraphDef partition_graph = 4;

Method parameters in org.tensorflow.distruntime with type arguments of type GraphDef

Modifier and Type	Method	Description
RunGraphResponse.Builder	RunGraphResponse.Builder.addAllPartitionGraph(Iterable<? extends GraphDef> values)	repeated .tensorflow.GraphDef partition_graph = 4;

Uses of GraphDef in org.tensorflow.framework

Methods in org.tensorflow.framework that return GraphDef

Modifier and Type	Method	Description
GraphDef	GraphDef.Builder.build()
GraphDef	GraphDef.Builder.buildPartial()
static GraphDef	GraphDef.getDefaultInstance()
GraphDef	GraphDef.Builder.getDefaultInstanceForType()
GraphDef	GraphDef.getDefaultInstanceForType()
GraphDef	MetaGraphDef.Builder.getGraphDef()	GraphDef.
GraphDef	MetaGraphDef.getGraphDef()	GraphDef.
GraphDef	MetaGraphDefOrBuilder.getGraphDef()	GraphDef.
GraphDef	RunMetadata.Builder.getPartitionGraphs(int index)	Graphs of the partitions executed by executors.
GraphDef	RunMetadata.getPartitionGraphs(int index)	Graphs of the partitions executed by executors.
GraphDef	RunMetadataOrBuilder.getPartitionGraphs(int index)	Graphs of the partitions executed by executors.
GraphDef	RemoteFusedGraphExecuteInfo.Builder.getRemoteGraph()	Definition of remote graph
GraphDef	RemoteFusedGraphExecuteInfo.getRemoteGraph()	Definition of remote graph
GraphDef	RemoteFusedGraphExecuteInfoOrBuilder.getRemoteGraph()	Definition of remote graph
static GraphDef	GraphDef.parseDelimitedFrom(InputStream input)
static GraphDef	GraphDef.parseDelimitedFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static GraphDef	GraphDef.parseFrom(byte[] data)
static GraphDef	GraphDef.parseFrom(byte[] data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static GraphDef	GraphDef.parseFrom(InputStream input)
static GraphDef	GraphDef.parseFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static GraphDef	GraphDef.parseFrom(ByteBuffer data)
static GraphDef	GraphDef.parseFrom(ByteBuffer data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static GraphDef	GraphDef.parseFrom(org.nd4j.shade.protobuf.ByteString data)
static GraphDef	GraphDef.parseFrom(org.nd4j.shade.protobuf.ByteString data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static GraphDef	GraphDef.parseFrom(org.nd4j.shade.protobuf.CodedInputStream input)
static GraphDef	GraphDef.parseFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)

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

Modifier and Type	Method	Description
org.nd4j.shade.protobuf.Parser<GraphDef>	GraphDef.getParserForType()
List<GraphDef>	RunMetadata.Builder.getPartitionGraphsList()	Graphs of the partitions executed by executors.
List<GraphDef>	RunMetadata.getPartitionGraphsList()	Graphs of the partitions executed by executors.
List<GraphDef>	RunMetadataOrBuilder.getPartitionGraphsList()	Graphs of the partitions executed by executors.
static org.nd4j.shade.protobuf.Parser<GraphDef>	GraphDef.parser()

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

Modifier and Type	Method	Description
RunMetadata.Builder	RunMetadata.Builder.addPartitionGraphs(int index, GraphDef value)	Graphs of the partitions executed by executors.
RunMetadata.Builder	RunMetadata.Builder.addPartitionGraphs(GraphDef value)	Graphs of the partitions executed by executors.
GraphDef.Builder	GraphDef.Builder.mergeFrom(GraphDef other)
MetaGraphDef.Builder	MetaGraphDef.Builder.mergeGraphDef(GraphDef value)	GraphDef.
RemoteFusedGraphExecuteInfo.Builder	RemoteFusedGraphExecuteInfo.Builder.mergeRemoteGraph(GraphDef value)	Definition of remote graph
static GraphDef.Builder	GraphDef.newBuilder(GraphDef prototype)
MetaGraphDef.Builder	MetaGraphDef.Builder.setGraphDef(GraphDef value)	GraphDef.
RunMetadata.Builder	RunMetadata.Builder.setPartitionGraphs(int index, GraphDef value)	Graphs of the partitions executed by executors.
RemoteFusedGraphExecuteInfo.Builder	RemoteFusedGraphExecuteInfo.Builder.setRemoteGraph(GraphDef value)	Definition of remote graph

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

Modifier and Type	Method	Description
RunMetadata.Builder	RunMetadata.Builder.addAllPartitionGraphs(Iterable<? extends GraphDef> values)	Graphs of the partitions executed by executors.