package torch

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package torch
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Module Torch.OptimizerSource

Sourcetype t
Sourcemodule Clip_grad : sig ... end
Sourceval adam : ?beta1:float -> ?beta2:float -> ?weight_decay:float -> Var_store.t -> learning_rate:float -> t
Sourceval rmsprop : ?alpha:float -> ?eps:float -> ?weight_decay:float -> ?momentum:float -> ?centered:bool -> Var_store.t -> learning_rate:float -> t
Sourceval sgd : ?momentum:float -> ?dampening:float -> ?weight_decay:float -> ?nesterov:bool -> Var_store.t -> learning_rate:float -> t
Sourceval step : ?clip_grad:Clip_grad.t -> t -> unit
Sourceval zero_grad : t -> unit
Sourceval backward_step : ?clip_grad:Clip_grad.t -> t -> loss:Tensor.t -> unit
Sourceval set_learning_rate : t -> learning_rate:float -> unit
Sourcemodule Linear_interpolation : sig ... end
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