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tensorplay.optim.adagrad
Classes
class Adagrad [source]
python
Adagrad(params, lr=0.01, lr_decay=0, weight_decay=0, initial_accumulator_value=0, eps=1e-10)Bases: Optimizer
Methods
__init__(self, params, lr=0.01, lr_decay=0, weight_decay=0, initial_accumulator_value=0, eps=1e-10) [source]
Initialize self. See help(type(self)) for accurate signature.
add_param_group(self, param_group) [source]
load_state_dict(self, state_dict) [source]
state_dict(self) [source]
step(self, closure=None) [source]
zero_grad(self, set_to_none=False) [source]
class Optimizer [source]
python
Optimizer(params, defaults)Base class for optimizers.
Args
- params (
iterable): an iterable ofTensors ordicts. Specifies what Tensors should be optimized. - defaults: (dict): a dict containing default values of optimization options (used when a parameter group doesn't specify them).
Methods
__init__(self, params, defaults) [source]
Initialize self. See help(type(self)) for accurate signature.