def load_ndarray_label(name):
 assert (name in ['ule'])
 common_path = os.path.join(preprocess('${PYLEARN2_DATA_PATH}'), 'UTLC', 'filetensor', (name + '_'))
 (trname, vname, tename) = [((common_path + subset) + '.tf') for subset in ['trainl', 'validl', 'testl']]
 trainl = load_filetensor(trname)
 validl = load_filetensor(vname)
 testl = load_filetensor(tename)
 return (trainl, validl, testl)

def load_ndarray_label ( name ) : assert ( name in [ 'ule' ] ) common_path = os . path . join ( preprocess ( '${PYLEARN2_DATA_PATH}' ) , 'UTLC' , 'filetensor' , ( name + '_' ) ) ( trname , vname , tename ) = [ ( ( common_path + subset ) + '.tf' ) for subset in [ 'trainl' , 'validl' , 'testl' ] ] trainl = load_filetensor ( trname ) validl = load_filetensor ( vname ) testl = load_filetensor ( tename ) return ( trainl , validl , testl )
load the train .