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tensorflow :: ops :: ApplyAdam

#include <training_ops.h>

Perbarui '* var' sesuai dengan algoritma Adam.

Ringkasan

$$lr_t := {learning_rate} * {1 - beta_2^t} / (1 - beta_1^t)$$ $$m_t := beta_1 * m_{t-1} + (1 - beta_1) * g$$ $$v_t := beta_2 * v_{t-1} + (1 - beta_2) * g * g$$ $$variable := variable - lr_t * m_t / ({v_t} + )$$

Argumen:

  • scope: Objek Scope
  • var: Harus dari Variabel ().
  • m: Harus dari Variabel ().
  • v: Harus dari Variabel ().
  • beta1_power: Harus skalar.
  • beta2_power: Harus skalar.
  • lr: Faktor penskalaan. Harus skalar.
  • beta1: Faktor momentum. Harus skalar.
  • beta2: Faktor momentum. Harus skalar.
  • epsilon: Istilah punggungan. Harus skalar.
  • grad: Gradien.

Atribut opsional (lihat Attrs ):

  • use_locking: Jika True , pembaruan tensor var, m, dan v akan dilindungi oleh kunci; jika tidak, perilakunya tidak ditentukan, tetapi mungkin menunjukkan lebih sedikit perselisihan.
  • use_nesterov: Jika True , gunakan pembaruan nesterov.

Pengembalian:

  • Output : Sama seperti "var".

Pembuat dan Penghancur

ApplyAdam (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input m, :: tensorflow::Input v, :: tensorflow::Input beta1_power, :: tensorflow::Input beta2_power, :: tensorflow::Input lr, :: tensorflow::Input beta1, :: tensorflow::Input beta2, :: tensorflow::Input epsilon, :: tensorflow::Input grad)
ApplyAdam (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input m, :: tensorflow::Input v, :: tensorflow::Input beta1_power, :: tensorflow::Input beta2_power, :: tensorflow::Input lr, :: tensorflow::Input beta1, :: tensorflow::Input beta2, :: tensorflow::Input epsilon, :: tensorflow::Input grad, const ApplyAdam::Attrs & attrs)

Atribut publik

operation
out

Fungsi publik

node () const
::tensorflow::Node *
operator::tensorflow::Input () const
operator::tensorflow::Output () const

Fungsi statis publik

UseLocking (bool x)
UseNesterov (bool x)

Structs

tensorflow :: ops :: ApplyAdam :: Attrs

Penyetel atribut opsional untuk ApplyAdam .

Atribut publik

operasi

Operation operation

keluar

::tensorflow::Output out

Fungsi publik

ApplyAdam

 ApplyAdam(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input m,
  ::tensorflow::Input v,
  ::tensorflow::Input beta1_power,
  ::tensorflow::Input beta2_power,
  ::tensorflow::Input lr,
  ::tensorflow::Input beta1,
  ::tensorflow::Input beta2,
  ::tensorflow::Input epsilon,
  ::tensorflow::Input grad
)

ApplyAdam

 ApplyAdam(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input m,
  ::tensorflow::Input v,
  ::tensorflow::Input beta1_power,
  ::tensorflow::Input beta2_power,
  ::tensorflow::Input lr,
  ::tensorflow::Input beta1,
  ::tensorflow::Input beta2,
  ::tensorflow::Input epsilon,
  ::tensorflow::Input grad,
  const ApplyAdam::Attrs & attrs
)

simpul

::tensorflow::Node * node() const 

operator :: tensorflow :: Input

 operator::tensorflow::Input() const 

operator :: tensorflow :: Keluaran

 operator::tensorflow::Output() const 
.dll

Fungsi statis publik

UseLocking

Attrs UseLocking(
  bool x
)

UseNesterov

Attrs UseNesterov(
  bool x
)