using Microsoft.VisualStudio.TestTools.UnitTesting; using Tensorflow.NumPy; using System; using Tensorflow; using static Tensorflow.Binding; namespace TensorFlowNET.UnitTest.FunctionalOpsTest { /// /// https://www.tensorflow.org/api_docs/python/tf/scan /// [TestClass] public class ScanTestCase : GraphModeTestBase { [TestMethod, Ignore("need UpdateEdge API")] public void ScanForward() { var fn = new Func((a, x) => tf.add(a, x)); var sess = tf.Session().as_default(); var input = tf.placeholder(TF_DataType.TF_INT32, new Shape(6)); var scan = functional_ops.scan(fn, input); var result = sess.run(scan, (input, np.array(1, 2, 3, 4, 5, 6))); Assert.AreEqual(result, np.array(1, 3, 6, 10, 15, 21)); } [TestMethod, Ignore("need UpdateEdge API")] public void ScanReverse() { var fn = new Func((a, x) => tf.add(a, x)); var sess = tf.Session().as_default(); var input = tf.placeholder(TF_DataType.TF_INT32, new Shape(6)); var scan = functional_ops.scan(fn, input, reverse: true); var result = sess.run(scan, (input, np.array(1, 2, 3, 4, 5, 6))); Assert.AreEqual(result, np.array(21, 20, 18, 15, 11, 6)); } } }