[−][src]Struct tch::nn::optimizer::Optimizer
Methods
impl Optimizer[src]
pub fn sgd(vs: &VarStore, lr: f64, s: Sgd) -> Optimizer[src]
pub fn adam(vs: &VarStore, lr: f64, a: Adam) -> Optimizer[src]
pub fn rms_prop(vs: &VarStore, lr: f64, r: RmsProp) -> Optimizer[src]
pub fn zero_grad(&self)[src]
pub fn clip_grad_value(&self, max: f64)[src]
Clips gradient value at some specified maximum value.
pub fn step(&self)[src]
pub fn backward_step(&self, loss: &Tensor)[src]
pub fn backward_step_clip(&self, loss: &Tensor, max: f64)[src]
pub fn set_lr(&mut self, lr: f64)[src]
Sets the optimizer learning rate.
pub fn set_momentum(&mut self, m: f64)[src]
Sets the optimizer momentum.
Auto Trait Implementations
Blanket Implementations
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U: From<T>, [src]
U: From<T>,
impl<T> From for T[src]
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type Error = Infallible
The type returned in the event of a conversion error.
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impl<T> Borrow for T where
T: ?Sized, [src]
T: ?Sized,
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U: TryFrom<T>, [src]
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