public LossesContainer(ILossFunc losses, string[] output_names = null)
: base(output_names)
{
_user_losses = losses;
_losses = losses;
_loss_metric = new Mean(name: "loss");
_built = false;
}
public void compile(ILossFunc loss, OptimizerV2 optimizer, string[] metrics)
{
this.optimizer = optimizer;
compiled_loss = new LossesContainer(loss, output_names: output_names);
compiled_metrics = new MetricsContainer(metrics, output_names: output_names);
int experimental_steps_per_execution = 1;
_configure_steps_per_execution(experimental_steps_per_execution);
// Initialize cache attrs.
_reset_compile_cache();
_is_compiled = true;
this.loss = loss;
}
public void compile(string optimizer, string loss, string[] metrics)
{
var _optimizer = optimizer switch
{
"rmsprop" => new RMSprop(new RMSpropArgs
{
}),
_ => throw new NotImplementedException("")
};
ILossFunc _loss = loss switch
{
"mse" => new MeanSquaredError(),
"mae" => new MeanAbsoluteError(),
_ => throw new NotImplementedException("")
};
compile(optimizer: _optimizer, loss: _loss, metrics: metrics);
}
}
}
public void compile(OptimizerV2 optimizer = null,
ILossFunc loss = null,
string[] metrics = null)
{
this.optimizer = optimizer ?? new RMSprop(new RMSpropArgs
{
});
this.loss = loss ?? new MeanSquaredError();
compiled_loss = new LossesContainer(loss, output_names: output_names);
compiled_metrics = new MetricsContainer(metrics, output_names: output_names);
int experimental_steps_per_execution = 1;
_configure_steps_per_execution(experimental_steps_per_execution);
// Initialize cache attrs.
_reset_compile_cache();
_is_compiled = true;
}
public void compile(string optimizerName, ILossFunc lossName)
{
throw new NotImplementedException("");
}
