def _build_optimizers(self):
opts = self._optimizers
if not opts:
raise ValueError('No optimizers provided.')
if len(opts) == 1:
opts = tuple([opts[0]] * 2)
self._p_optimizer = utils.get_optimizer(opts[0][0])(lr=opts[0][1])
self._ae_optimizer = utils.get_optimizer(opts[1][0])(lr=opts[1][1])
def _build_optimizers(self):
opts = self._optimizers
if len(opts) == 1:
opts = tuple([opts[0]] * 3)
elif len(opts) < 3:
raise ValueError('Bad optimizers %s.' % opts)
self._q_optimizer = utils.get_optimizer(opts[0][0])(lr=opts[0][1])
self._p_optimizer = utils.get_optimizer(opts[1][0])(lr=opts[1][1])
self._a_optimizer = utils.get_optimizer(opts[2][0])(lr=opts[2][1])
if len(self._weight_decays) == 1:
self._weight_decays = tuple([self._weight_decays[0]] * 3)
def _build_optimizers(self): opt = self._optimizers[0] opt_fn = utils.get_optimizer(opt[0]) self._optimizer = opt_fn(lr=opt[1])
