(filename, epoch_axis=True)
return ret
Read cost data from hdf5 file. Generate x axis data for each cost line.

    Arguments:
        filename (str): Filename with hdf5 cost data
        epoch_axis (bool): whether to render epoch or minibatch as the integer step in the x axis

    Returns:
        list of tuples of (name, x data, y data)
Read cost data from hdf5 file. Generate x axis data for each cost line.
Read cost data from hdf5 file . Generate x axis data for each cost line .
def h5_cost_data(filename, epoch_axis=True):
    """
    Read cost data from hdf5 file. Generate x axis data for each cost line.

    Arguments:
        filename (str): Filename with hdf5 cost data
        epoch_axis (bool): whether to render epoch or minibatch as the integer step in the x axis

    Returns:
        list of tuples of (name, x data, y data)
    """
    ret = list()
    with h5py.File(filename, "r") as f:

        config, cost, time_markers = [f[x] for x in ['config', 'cost', 'time_markers']]
        total_epochs = config.attrs['total_epochs']
        total_minibatches = config.attrs['total_minibatches']
        minibatch_markers = time_markers['minibatch']

        for name, ydata in cost.items():
            y = ydata[...]
            if ydata.attrs['time_markers'] == 'epoch_freq':
                y_epoch_freq = ydata.attrs['epoch_freq']
                assert len(y) == total_epochs // y_epoch_freq
                x = create_epoch_x(len(y), y_epoch_freq, minibatch_markers, epoch_axis)

            elif ydata.attrs['time_markers'] == 'minibatch':
                assert len(y) == total_minibatches
                x = create_minibatch_x(total_minibatches, minibatch_markers, epoch_axis)

            else:
                raise TypeError('Unsupported data format for h5_cost_data')

            ret.append((name, x, y))

    return ret
def h5_cost_data ( filename , epoch_axis = True ) : ret = list ( ) with h5py . File ( filename , "r" ) as f : config , cost , time_markers = [ f [ x ] for x in [ 'config' , 'cost' , 'time_markers' ] ] total_epochs = config . attrs [ 'total_epochs' ] total_minibatches = config . attrs [ 'total_minibatches' ] minibatch_markers = time_markers [ 'minibatch' ] for name , ydata in cost . items ( ) : y = ydata [ ... ] if ydata . attrs [ 'time_markers' ] == 'epoch_freq' : y_epoch_freq = ydata . attrs [ 'epoch_freq' ] assert len ( y ) == total_epochs // y_epoch_freq x = create_epoch_x ( len ( y ) , y_epoch_freq , minibatch_markers , epoch_axis ) elif ydata . attrs [ 'time_markers' ] == 'minibatch' : assert len ( y ) == total_minibatches x = create_minibatch_x ( total_minibatches , minibatch_markers , epoch_axis ) else : raise TypeError ( 'Unsupported data format for h5_cost_data' ) ret . append ( ( name , x , y ) ) return ret