(self, callback_data, model, epoch, label)
Helper function that checks if there exists a loss with a given label at a certain
        epoch index.  Depends on a LossCallback to have previously computed the loss and
        stored in callback_data.  Does not actually do any computation.

        Arguments:
            callback_data (HDF5 dataset): shared data between callbacks
            model (Model): model object
            epoch (int): epoch index to check
            label (str): label under which to find cached loss in callback_data

        Returns:
            dict containing loss cost value, timing information, and display information
Helper function that checks if there exists a loss with a given label at a certain
        epoch index.  Depends on a LossCallback to have previously computed the loss and
        stored in callback_data.  Does not actually do any computation.
Helper function that checks if there exists a loss with a given label at a certain epoch index . Depends on a LossCallback to have previously computed the loss and stored in callback_data . Does not actually do any computation .
def _get_cached_epoch_loss(self, callback_data, model, epoch, label):
        """
        Helper function that checks if there exists a loss with a given label at a certain
        epoch index.  Depends on a LossCallback to have previously computed the loss and
        stored in callback_data.  Does not actually do any computation.

        Arguments:
            callback_data (HDF5 dataset): shared data between callbacks
            model (Model): model object
            epoch (int): epoch index to check
            label (str): label under which to find cached loss in callback_data

        Returns:
            dict containing loss cost value, timing information, and display information
        """

        if self.costnm is None:
            self.costnm = "Loss"  # default costname to display if we can't resolve cost function
            if model.cost and hasattr(model.cost, 'costfunc'):
                self.costnm = model.cost.costfunc.__class__.__name__ + " " + self.costnm
        cost_key = 'cost/' + label
        time_key = 'time/' + label
        if cost_key not in callback_data:
            return None
        eval_freq = callback_data[cost_key].attrs['epoch_freq']
        if (epoch + 1) % eval_freq == 0:
            return dict(cost=callback_data[cost_key][epoch // eval_freq],
                        time=callback_data[time_key][epoch // eval_freq],
                        costnm=self.costnm)
def _get_cached_epoch_loss ( self , callback_data , model , epoch , label ) : if self . costnm is None : self . costnm = "Loss" # default costname to display if we can't resolve cost function if model . cost and hasattr ( model . cost , 'costfunc' ) : self . costnm = model . cost . costfunc . __class__ . __name__ + " " + self . costnm cost_key = 'cost/' + label time_key = 'time/' + label if cost_key not in callback_data : return None eval_freq = callback_data [ cost_key ] . attrs [ 'epoch_freq' ] if ( epoch + 1 ) % eval_freq == 0 : return dict ( cost = callback_data [ cost_key ] [ epoch // eval_freq ] , time = callback_data [ time_key ] [ epoch // eval_freq ] , costnm = self . costnm )