public void DenseLayer_CopyLayerForPredictionModel()
{
var batchSize = 1;
var random = new Random(232);
var neuronCount = 5;
var sut = new DenseLayer(neuronCount, Activation.Undefined);
sut.Initialize(5, 1, 1, batchSize, Initialization.GlorotUniform, random);
var layers = new List <ILayer>();
sut.CopyLayerForPredictionModel(layers);
var actual = (DenseLayer)layers.Single();
Assert.AreEqual(sut.Width, actual.Width);
Assert.AreEqual(sut.Height, actual.Height);
Assert.AreEqual(sut.Depth, actual.Depth);
MatrixAsserts.AreEqual(sut.Weights, actual.Weights);
MatrixAsserts.AreEqual(sut.Bias, actual.Bias);
Assert.AreEqual(sut.OutputActivations.RowCount, actual.OutputActivations.RowCount);
Assert.AreEqual(sut.OutputActivations.ColumnCount, actual.OutputActivations.ColumnCount);
}
