public void TestMethod2()
{
const int X = 0;
const int A = 1;
const int B = 2;
string[] classes = new string[] { "@", "A", "B" };
Tensor a = new Tensor(null, new[] { 3, 3 });
a.Set(new float[]
{
0.2f, 0.5f, 0.3f,
0.1f, 0.7f, 0.2f,
0.1f, 0.3f, 0.6f
});
CTCBeamSearch loss = new CTCBeamSearch(classes);
IList <(string[], float)> results = loss.BeamSearch(a);
float normalizer =
path(A, A, B) +
path(A, B, B) +
path(A, B, X) +
path(A, X, B) +
path(X, A, B);
float path(int v1, int v2, int v3)
{
return(a[(0 * 3) + v1] *
a[(1 * 3) + v2] *
a[(2 * 3) + v3]);
}
}
public void TestMethod0()
{
const int X = 0;
const int A = 1;
string[] classes = new string[] { "@", "A" };
Tensor a = new Tensor(null, new[] { 2, 2 });
a.Set(new float[]
{
0.2f, 0.5f,
0.1f, 0.7f
});
CTCBeamSearch loss = new CTCBeamSearch(classes);
IList <(string[], float)> results = loss.BeamSearch(a);
float normalizer =
path(A, A) +
path(A, X) +
path(X, A);
float path(int v1, int v2)
{
return(a[(0 * 2) + v1] *
a[(1 * 2) + v2]);
}
}
public void TestMethod3()
{
const int X = 0;
const int A = 1;
const int B = 2;
string[] classes = new string[] { "@", "A", "B" };
Tensor a = new Tensor(null, new[] { 4, 3 });
a.Set(new float[]
{
0.2f, 0.5f, 0.3f,
0.1f, 0.7f, 0.2f,
0.1f, 0.3f, 0.6f,
0.05f, 0.15f, 0.8f,
});
float normalizer =
path(A, A, A, B) +
path(A, A, B, B) +
path(A, A, B, X) +
path(A, A, X, B) +
path(A, B, B, B) +
path(A, B, B, X) +
////path(A, B, X, B) +
path(A, B, X, X) +
////path(A, X, A, B) +
path(A, X, B, B) +
path(A, X, B, X) +
path(A, X, X, B) +
path(X, A, A, B) +
path(X, A, B, B) +
path(X, A, B, X) +
path(X, A, X, B) +
path(X, X, A, B);
float path(int v1, int v2, int v3, int v4)
{
float res = a[(0 * 3) + v1] *
a[(1 * 3) + v2] *
a[(2 * 3) + v3] *
a[(3 * 3) + v4];
Console.WriteLine(res);
return(res);
}
Charset charset = new Charset("AB", 1, 2);
CTCBeamSearch loss = new CTCBeamSearch(classes, charset);
IList <(string[], float)> results = loss.BeamSearch(a);
}
