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 });*/ } } }