if default is required and name not in param_group: raise ValueError("parameter group didn't specify a value of required optimization parameter " + name) else: param_group.setdefault(name, default) params = param_group['params'] if len(params) != len(set(params)): warnings.warn("optimize...
🐛 Describe the bug The doc of optim.SGD() doesn't say that the type of lr, momentum, weight_decay and dampening parameter are bool as shown below: Parameters ... lr (float, optional) – learning rate (default: 1e-3) momentum (float, optio...
首先定义了模型，然后定义了SGD优化器，并指定了学习率为0.1。接着，通过循环迭代数据集，计算损失函数...
__init__(self, params, lr=, momentum=0, dampening=0, weight_decay=0, nesterov=False) params (iterable): iterable of parameters to optimize or dicts defining parameter groups (params可以是可迭代的参数,或者一个定义参数组的字典,如上所示,字典的键值包括:params,lr,momentum,dampening,weight_decay,...
add_param_group(param_group):把参数放进优化器中,这在 Fine-tune 预训练网络时很有用,因为可以使冻结层可训练并随着训练的进行添加到优化器中。 load_state_dict(state_dict):把优化器的状态加载进去。 state_dict():返回优化器的状态,以dict的形式返回。 step(closure=None):优化一步参数。 zero_grad(set...
CLASS torch.optim.SGD(params, lr=<required parameter>, momentum=0, dampening=0, weight_decay=0, nesterov=False) 参数: params(iterable) – 优化器作用的模型参数。 lr(float) – learning rate,相当于是统一框架中的。 momentum(fl...
= betas[1] < 1.0: raise ValueError('Invalid beta parameter at index 1: {}'.format...
File:torch/distributed/algorithms/model_averaging/utils.py,Entity:average_parameters_or_parameter_groups,Line: 68,Description: One-line docstring should fit on one line with quotes (found 3) File:torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py,Entity:HierarchicalModelAverager,...
λ The parameter for the regularization term. For some loss functions, such as hinge loss, it guarantees strongly convexity. η Step length or learning rate for SGD w Variables for objective function. In machine learning, it is Analysis of WP-SGD The concept of WP-SGD has two main aspects...
__init__(self, params, lr=, momentum=0, dampening=0, weight_decay=0, nesterov=False)params (iterable): iterable of parameters to optimize or dicts defining parameter groups （params可以是可迭代的参数，或者⼀个定义参数组的字典，如上所⽰，字典的键值包括：params，lr，momentum，dampening，weigh...