public void tf_softmax_test()
{
using (var K = new TensorFlowBackend())
{
double[,] a = new double[, ] {
{ -4, 2 }, { 0.02, 0.3 }
};
var ta = K.variable(array: (Array)a, name: "example_var", dtype: DataType.Double);
var tr = K.softmax(ta);
double[,] r = (double[, ])tr.eval();
AssertEx.AreEqual(new double[, ] {
{ 0.0024726231566347748, 0.99752737684336534 },
{ 0.430453776060771, 0.56954622393922893 }
}, r, 1e-8);
AssertEx.AreEqual(r.GetRow(0), Accord.Math.Special.Softmax(a.GetRow(0)), 1e-8);
AssertEx.AreEqual(r.GetRow(1), Accord.Math.Special.Softmax(a.GetRow(1)), 1e-8);
}
}