TensorFlow.NET/test/TensorFlowNET.Keras.UnitTest/Layers/Layers.Cropping.Test.cs

using Microsoft.VisualStudio.TestTools.UnitTesting;
using Tensorflow;
using Tensorflow.NumPy;
using static Tensorflow.Binding;
using static Tensorflow.KerasApi;

namespace TensorFlowNET.Keras.UnitTest {
      [TestClass]
      public class LayersCroppingTest : EagerModeTestBase {
            [TestMethod]
            public void Cropping1D () {
                  Shape input_shape = (1, 5, 2);
                  var x = tf.zeros(input_shape);
                  var cropping_1d = keras.layers.Cropping1D(new[] { 1, 2 });
                  var y = cropping_1d.Apply(x);
                  Assert.AreEqual((1, 2, 2), y.shape);
            }

            [TestMethod]
            public void Cropping2D () {
                  Shape input_shape = (1, 5, 6, 1);
                  NDArray cropping = new NDArray(new[,] { { 1, 2 }, { 1, 3 } });
                  var x = tf.zeros(input_shape);
                  var cropping_2d = keras.layers.Cropping2D(cropping);
                  var y = cropping_2d.Apply(x);
                  Assert.AreEqual((1, 2, 2, 1), y.shape);
            }

            [TestMethod]
            public void Cropping3D () {
                  Shape input_shape = new Shape(1, 5, 6, 7, 1);
                  NDArray cropping = new NDArray(new[,] { { 1, 2 }, { 1, 3 }, { 1, 4 } });
                  var x = tf.zeros(input_shape);
                  var cropping_3d = keras.layers.Cropping3D(cropping);
                  var y = cropping_3d.Apply(x);
                  Assert.AreEqual(new Shape(1, 2, 2, 2, 1), y.shape);
            }
      }
}