public TFOutput Sampleb(TFGraph graph)
{
int seed = Global.Random.Next(0, int.MaxValue);
TFOutput eps = graph.Cast(graph.RandomNormal(graph.GetTensorShape(Mu_b), 0, 1, seed), TFDataType.Float);
TFOutput sigma_b = NNOperations.LogTrans(graph, Phi_b);
return(graph.Add(graph.Mul(eps, sigma_b), Mu_b));
}
public TFOutput Samplez(TFGraph graph, TFOutput act)
{
TFOutput mu = graph.Add(graph.MatMul(act, Mu_W), Mu_b);
TFOutput sigma = graph.Sqrt(graph.Add(graph.MatMul(graph.Square(act), graph.Square(NNOperations.LogTrans(graph, Phi_W))), graph.Square(NNOperations.LogTrans(graph, Phi_b))));
int seed = Global.Random.Next(0, int.MaxValue);
TFOutput eps = graph.Cast(graph.RandomNormal(new TFShape(Global.TFMAXBATCHSIZE, graph.GetShape(mu)[1]), 0, 1, seed), TFDataType.Float);
eps = graph.Slice(eps, graph.Const(new int[] { 0, 0 }), graph.Shape(mu));
return(graph.Add(graph.Mul(eps, sigma), mu));
}
