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

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
read cost data from hdf5 file .