public static Tensor GetEvalFunction(NeuralNetworkEvalFunction lossFunction, Tensor labels, Tensor calculatedOutputs)
{
switch (lossFunction)
{
case NeuralNetworkEvalFunction.sigmoid_cross_entropy_with_logits: return(tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(labels, calculatedOutputs)));
case NeuralNetworkEvalFunction.softmax_cross_entropy_with_logits: return(tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(labels, calculatedOutputs)));
case NeuralNetworkEvalFunction.softmax_cross_entropy_with_logits_v2: return(tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits_v2(labels, calculatedOutputs)));
case NeuralNetworkEvalFunction.ClassificationError: return(NetworkBuilder.ClassificationError(calculatedOutputs, labels));
case NeuralNetworkEvalFunction.MeanSquaredError: return(MeanSquaredError(labels, calculatedOutputs));
case NeuralNetworkEvalFunction.MeanAbsoluteError: return(NetworkBuilder.MeanAbsoluteError(calculatedOutputs, labels));
case NeuralNetworkEvalFunction.MeanAbsolutePercentageError: return(NetworkBuilder.MeanAbsolutePercentageError(calculatedOutputs, labels));
default:
throw new InvalidOperationException("Unexpected " + lossFunction);
}
}