using Microsoft.VisualStudio.TestTools.UnitTesting;
using static Tensorflow.Binding;
namespace TensorFlowNET.UnitTest.ManagedAPI
{
[TestClass]
public class LinalgTest : EagerModeTestBase
{
[TestMethod]
public void EyeTest()
{
var tensor = tf.linalg.eye(3);
Assert.AreEqual(tensor.shape, (3, 3));
Assert.AreEqual(0.0f, (double)tensor[2, 0]);
Assert.AreEqual(0.0f, (double)tensor[2, 1]);
Assert.AreEqual(1.0f, (double)tensor[2, 2]);
}
///
/// https://colab.research.google.com/github/biswajitsahoo1111/blog_notebooks/blob/master/Doing_Linear_Algebra_using_Tensorflow_2.ipynb#scrollTo=6xfOcTFBL3Up
///
[TestMethod]
public void LSTSQ()
{
var A_over = tf.constant(new float[,] { { 1, 2 }, { 2, 0.5f }, { 3, 1 }, { 4, 5.0f} });
var A_under = tf.constant(new float[,] { { 3, 1, 2, 5 }, { 7, 9, 1, 4.0f } });
var b_over = tf.constant(new float[] { 3, 4, 5, 6.0f }, shape: (4, 1));
var b_under = tf.constant(new float[] { 7.2f, -5.8f }, shape: (2, 1));
var x_over = tf.linalg.lstsq(A_over, b_over);
var x = tf.matmul(tf.linalg.inv(tf.matmul(A_over, A_over, transpose_a: true)), tf.matmul(A_over, b_over, transpose_a: true));
Assert.AreEqual(x_over.shape, (2, 1));
AssetSequenceEqual(x_over.ToArray(), x.ToArray());
var x_under = tf.linalg.lstsq(A_under, b_under);
var y = tf.matmul(A_under, tf.matmul(tf.linalg.inv(tf.matmul(A_under, A_under, transpose_b: true)), b_under), transpose_a: true);
Assert.AreEqual(x_under.shape, (4, 1));
AssetSequenceEqual(x_under.ToArray(), y.ToArray());
/*var x_over_reg = tf.linalg.lstsq(A_over, b_over, l2_regularizer: 2.0f);
var x_under_reg = tf.linalg.lstsq(A_under, b_under, l2_regularizer: 2.0f);
Assert.AreEqual(x_under_reg.shape, (4, 1));
AssetSequenceEqual(x_under_reg.ToArray(), new float[] { -0.04763567f, -1.214508f, 0.62748903f, 1.299031f });*/
}
}
}