public void ParameterDict()
{
var a = new torch.nn.Parameter(new[] { 0.5 });
var b = new torch.nn.Parameter(new[] { 0.3 });
var dict = new torch.nn.ParameterDict(
("a", a),
("b", b)
);
Assert.AreEqual(a.repr, dict["a"].repr);
Assert.AreNotEqual(a.repr, dict["b"].repr);
Assert.AreEqual(b.repr, dict["b"].repr);
Assert.Throws <PythonException>(() =>
{
var x = dict["nothing"];
});
var items = dict.items().ToArray();
Assert.AreEqual(2, items.Length);
Assert.AreEqual("a", items[0].Item1);
Assert.AreEqual("b", items[1].Item1);
Assert.AreEqual("Parameter containing:\ntensor([0.5000], dtype=torch.float64, requires_grad=True)", items[0].Item2.repr);
Assert.AreEqual("Parameter containing:\ntensor([0.3000], dtype=torch.float64, requires_grad=True)", items[1].Item2.repr);
Assert.AreEqual("a, b", string.Join(", ", dict.keys()));
Assert.AreEqual("Parameter containing:\ntensor([0.5000], dtype=torch.float64, requires_grad=True)|Parameter containing:\ntensor([0.3000], dtype=torch.float64, requires_grad=True)", string.Join("|", dict.values().Select(v => v.repr)));
Assert.AreEqual("a, b", string.Join(", ", dict.Select(x => x.Item1)));
Assert.AreEqual("Parameter containing:\ntensor([0.5000], dtype=torch.float64, requires_grad=True)|Parameter containing:\ntensor([0.3000], dtype=torch.float64, requires_grad=True)", string.Join("|", dict.Select(x => x.Item2.repr)));
Assert.AreEqual("Parameter containing:\ntensor([0.5000], dtype=torch.float64, requires_grad=True)", dict.pop("a").repr);
Assert.AreEqual(1, dict.items().Count());
dict.clear();
Assert.AreEqual(0, dict.items().Count());
dict.update(("a", a), ("b", b));
Assert.AreEqual(2, dict.items().Count());
Assert.AreEqual(2, dict.len());
}
public void ParameterTest()
{
var Parameter = torch.dynamic_self.GetAttr("nn").GetAttr("Parameter");
Console.WriteLine(Parameter.ToString());
var x = torch.tensor(new double[] { 1, 2, 3 });
var p = Parameter(x.PyObject, requires_grad: false);
var p1 = (torch.self.GetAttr("nn") as PyObject).InvokeMethod("Parameter", new PyTuple(new PyObject[] { x.PyObject }), Py.kw("requires_grad", new PyObject(Runtime.PyTrue)));
Console.WriteLine(p.ToString());
Console.WriteLine(p1.ToString());
//
var p2 = new torch.nn.Parameter(x, true);
Assert.AreEqual(p1.ToString(), p2.ToString());
}
public void ParameterList()
{
var a = new torch.nn.Parameter(new[] { 0.5 });
var b = new torch.nn.Parameter(new[] { 0.3 });
var list = new torch.nn.ParameterList(a, b);
Assert.AreEqual(a.repr, list[0].repr);
Assert.AreNotEqual(a.repr, list[1].repr);
Assert.AreEqual(b.repr, list[1].repr);
Assert.Throws <PythonException>(() =>
{
var x = list[2];
});
Assert.AreEqual(2, list.Count());
Assert.AreEqual("Parameter containing:\ntensor([0.5000], dtype=torch.float64, requires_grad=True)", list[0].repr);
Assert.AreEqual("Parameter containing:\ntensor([0.3000], dtype=torch.float64, requires_grad=True)", list[1].repr);
Assert.AreEqual("Parameter containing:\ntensor([0.5000], dtype=torch.float64, requires_grad=True)|Parameter containing:\ntensor([0.3000], dtype=torch.float64, requires_grad=True)", string.Join("|", list.Select(v => v.repr)));
list.extend(b);
Assert.AreEqual(3, list.Count());
list.append(a);
Assert.AreEqual(4, list.Count());
Assert.AreEqual(4, list.len());
Assert.AreEqual(new[] { a, b, b, a }.Select(x => x.repr).ToArray(), list.Select(x => x.repr).ToArray());
}
