def zero_grad(self, set_to_none: bool = False): r"""Sets the gradients of all optimized :class:`torch.Tensor` s to zero. Arguments: set_to_none (bool): instead of setting to zero, set the grads to None. This is will in general have lower memory footprint, and can modestly ...
We've discussed with @albanD, let's do this! We hope that even though optimizer would produce slightly different updates, convergence behavior won't change, as has been the case for people who started using set_to_none=True 👍 1 Contributor milesial commented Jan 20, 2023 Can we do...
classSGD(Optimizer):#将所有优化参数的值作为默认值传递给父类的defaultsdef__init__(self,params,lr=required,momentum=0,dampening=0,weight_decay=0,nesterov=False,*,maximize=False,foreach:Optional[bool]=None,differentiable=False):defaults=dict(lr=lr,momentum=momentum,dampening=dampening,weight_decay=wei...
if set_to_none: param.grad = None else: if param.grad.grad_fn is not None: param.grad.detach_() else: param.grad.requires_grad_(False) param.grad.zero_()def _multi_tensor_copy_this_to_that(this, that, overflow_buf=None):
value can be set to 1 or None. **kwargs: optional keyword args to be passed to construct the logger. Returns: VisdomLogger """logger = VisdomLogger(**kwargs) _setup_logging(logger, trainer, optimizers, evaluators, log_every_iters)returnlogger ...
if keyword_to_lr_mult is not None: for keyword, mult in keyword_to_lr_mult.items(): if keyword in key: apply_lr *= mult print('multiply lr of {} by {}'.format(key, mult)) break if 'compactor' in key: use_momentum = resrep_config.compactor_momentum ...
class Optimizer(object): def __init__(self, params, defaults): torch._C._log_api_usage_once("python.optimizer") self.defaults = defaults # 1 保存优化器本身的参数,例如 if isinstance(params, torch.Tensor): raise TypeError("params argument given to the optimizer should be " "an iterable ...
elifisinstance(params,set): raiseTypeError('optimizer parameters need to be organized in ordered collections, but ' 'the ordering of tensors in sets will change between runs. Please use a list instead.') else: param_group['params']=list(params) ...
self.points =None 开发者ID:google,项目名称:compare-codecs,代码行数:18,代码来源:graph_metrics.py 示例3: test_OptimizeOverMultipleEncoders ▲点赞 6▼ # 需要导入模块: import optimizer [as 别名]# 或者: from optimizer importOptimizer[as 别名]deftest_OptimizeOverMultipleEncoders(self):"""Run the...
set_from_dict(cfg) opt_hps.set_from_dict(cfg) clm = model_class(None, model_hps, opt_hps, train=False, opt='nag') with open(params_file, 'rb') as fin: clm.from_file(fin) else: from srilm import LM from decoder_config import LM_ARPA_FILE print 'Loading %s...' % LM_ARPA_...