Java Code Examples for org.nd4j.imports.graphmapper.tf.TFGraphMapper#getArrayFrom()
The following examples show how to use
org.nd4j.imports.graphmapper.tf.TFGraphMapper#getArrayFrom() .
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Example 1
Source File: SplitV.java From deeplearning4j with Apache License 2.0 | 5 votes |
@Override public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) { val splitDim = TFGraphMapper.getArrayFrom(TFGraphMapper.getNodeWithNameFromGraph(graph,nodeDef.getInput(0)),graph); if(splitDim != null) { this.splitDim = splitDim.getInt(0); addIArgument(splitDim.getInt(0)); } val numSplits = (int) attributesForNode.get("num_split").getI(); this.numSplit = numSplits; //addIArgument(numSplits); //libnd4j op doesn't used/need it for execution }
Example 2
Source File: Split.java From deeplearning4j with Apache License 2.0 | 5 votes |
@Override public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) { val numSplits = (int) attributesForNode.get("num_split").getI(); this.numSplit = numSplits; addIArgument(numSplits); val splitDim = TFGraphMapper.getArrayFrom(TFGraphMapper.getNodeWithNameFromGraph(graph,nodeDef.getInput(0)),graph); if(splitDim != null) { this.splitDim = splitDim.getInt(0); addIArgument(splitDim.getInt(0)); } }
Example 3
Source File: BaseTensorOp.java From deeplearning4j with Apache License 2.0 | 5 votes |
@Override public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) { val inputOne = nodeDef.getInput(1); val varFor = initWith.getVariable(inputOne); val nodeWithIndex = TFGraphMapper.getNodeWithNameFromGraph(graph,inputOne); val var = TFGraphMapper.getArrayFrom(nodeWithIndex,graph); if(var != null) { val idx = var.getInt(0); addIArgument(idx); } }