distance = Nd4j.getExecutioner().execAndReturn(new EuclideanDistance(point,node.point)).getFinalResult().doubleValue() | distance = Nd4j.getExecutioner().execAndReturn(new EuclideanDistance(currentPoint,node.point,minDistance)).getFinalResult().floatValue() | Nd4j.getExecutioner().execAndReturn(new EuclideanDistance(point,node.point)).getFinalResult().doubleValue() | Nd4j.getExecutioner().execAndReturn(new EuclideanDistance(currentPoint,node.point,minDistance)).getFinalResult().floatValue() | deeplearning4j | f31661e13b31a26e7d84e3b0fb51464ea7b57401 | org.deeplearning4j.clustering.kdtree.KDTree | | | v0 | Nd4j.getExecutioner() |
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v1 | node.point |
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| | v0 | Nd4j.getExecutioner() |
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v1 | node.point |
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| AssignedTo | False |