TensorFlow.NET/src/TensorFlowNET.Keras/Losses/MeanSquaredError.cs

using System;
using System.Collections.Generic;
using System.Text;
using static Tensorflow.Binding;
using static Tensorflow.KerasApi;

namespace Tensorflow.Keras.Losses
{
    public class MeanSquaredError : LossFunctionWrapper, ILossFunc
    {
        public MeanSquaredError(
            string reduction = ReductionV2.AUTO,
            string name = "mean_squared_error") :
            base(reduction: reduction, 
                name: name)
        {
        }

        public override Tensor Apply(Tensor y_true = null, Tensor y_pred =null, bool from_logits = false, int axis = -1)
        {
            Tensor y_pred_dispatch = ops.convert_to_tensor(y_pred);
            Tensor y_true_cast = gen_math_ops.cast(y_true, y_pred_dispatch.dtype);
            return  gen_math_ops.mean(gen_math_ops.squared_difference(y_pred_dispatch, y_true_cast), axis: -1);
        }
    }
}