digraph "singa::FeedForwardNet"
{
  edge [fontname="Helvetica",fontsize="10",labelfontname="Helvetica",labelfontsize="10"];
  node [fontname="Helvetica",fontsize="10",shape=record];
  Node1 [label="singa::FeedForwardNet",height=0.2,width=0.4,color="black", fillcolor="grey75", style="filled", fontcolor="black"];
  Node2 -> Node1 [dir="back",color="darkorchid3",fontsize="10",style="dashed",label=" layers_" ,fontname="Helvetica"];
  Node2 [label="vector\< std::shared\l_ptr\< singa::Layer \> \>",height=0.2,width=0.4,color="grey75", fillcolor="white", style="filled"];
  Node3 -> Node1 [dir="back",color="darkorchid3",fontsize="10",style="dashed",label=" loss_" ,fontname="Helvetica"];
  Node3 [label="singa::Loss",height=0.2,width=0.4,color="black", fillcolor="white", style="filled",URL="$classsinga_1_1Loss.html",tooltip="The base loss class, which declares the APIs for computing the objective score (loss) for a pair of p..."];
  Node4 -> Node1 [dir="back",color="darkorchid3",fontsize="10",style="dashed",label=" device_" ,fontname="Helvetica"];
  Node4 [label="singa::Device",height=0.2,width=0.4,color="black", fillcolor="white", style="filled",URL="$classsinga_1_1Device.html",tooltip="Allocate memory and execute Tensor operations. "];
  Node5 -> Node4 [dir="back",color="darkorchid3",fontsize="10",style="dashed",label=" ctx_" ,fontname="Helvetica"];
  Node5 [label="singa::_Context",height=0.2,width=0.4,color="black", fillcolor="white", style="filled",URL="$structsinga_1_1__Context.html"];
  Node6 -> Node1 [dir="back",color="darkorchid3",fontsize="10",style="dashed",label=" metric_" ,fontname="Helvetica"];
  Node6 [label="singa::Metric",height=0.2,width=0.4,color="black", fillcolor="white", style="filled",URL="$classsinga_1_1Metric.html",tooltip="The base metric class, which declares the APIs for computing the performance evaluation metrics given..."];
}