[][src]Struct tensorflow_proto::tensorflow::tpu::BoundedAdagradParameters

pub struct BoundedAdagradParameters {
    pub update_accumulator_first: bool,
    pub max_var_update: f32,
    pub max_accumulator: f32,
}

Algorithm in http://www.jmlr.org/papers/volume12/duchi11a/duchi11a.pdf.

Fields

update_accumulator_first: bool

Whether to use the updated or the old value of the accumulator when computing the effective learning rate. When update_accumulator_first is set to True, the updated value of the accumulator is used.

max_var_update: f32

The max_var_update value to use. Set value to 0 (default) to disable using max_var_update to clip the gradient.

max_accumulator: f32

The maximum value of the accumulator. Set max_accumulator to 0 (default) to disable using max_accumulator to clip the accumulator.

Trait Implementations

impl Clone for BoundedAdagradParameters[src]

impl Debug for BoundedAdagradParameters[src]

impl Default for BoundedAdagradParameters[src]

impl Message for BoundedAdagradParameters[src]

impl PartialEq<BoundedAdagradParameters> for BoundedAdagradParameters[src]

impl StructuralPartialEq for BoundedAdagradParameters[src]

Auto Trait Implementations

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impl<T> From<T> for T[src]

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type Owned = T

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type Error = <U as TryFrom<T>>::Error

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