aliran tensor:: operasi:: TerapkanAdam

#include <training_ops.h>

Perbarui '*var' sesuai dengan algoritma Adam.

Ringkasan

lrt:=learningrate∗1−betat2/(1−betat1)
mt:=beta1∗mt−1+(1−beta1)∗g
vt:=beta2∗vt−1+(1−beta2)∗g∗g
variable:=variable−lrt∗mt/(vt+)

Argumen:

  • ruang lingkup: Objek Lingkup
  • var: Harus dari Variabel().
  • m: Harus dari Variabel().
  • v: Harus dari Variabel().
  • beta1_power: Harus berupa skalar.
  • beta2_power: Harus berupa skalar.
  • lr: Faktor penskalaan. Pasti skalar.
  • beta1: Faktor momentum. Pasti skalar.
  • beta2: Faktor momentum. Pasti skalar.
  • epsilon: Istilah punggungan. Pasti skalar.
  • lulusan: Gradien.

Atribut opsional (lihat Attrs ):

  • use_locking: Jika True , pembaruan tensor var, m, dan v akan dilindungi oleh kunci; jika tidak, perilaku tersebut tidak terdefinisikan, namun mungkin menunjukkan lebih sedikit pertentangan.
  • use_nesterov: Jika True , gunakan pembaruan nesterov.

Pengembalian:

  • Output : Sama seperti "var".

Konstruktor dan Destruktor

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)

Struktur

tensorflow:: ops:: ApplyAdam:: Attrs

Penyetel atribut opsional untuk ApplyAdam .

Atribut publik

operasi 

Operation operation

keluar 

::tensorflow::Output out

Fungsi publik

TerapkanAdam 

 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
)

TerapkanAdam 

 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::Masukan 

 operator::tensorflow::Input() const

operator::tensorflow::Keluaran 

 operator::tensorflow::Output() const

Fungsi statis publik

Gunakan Penguncian 

Attrs UseLocking(
  bool x
)

GunakanNesterov 

Attrs UseNesterov(
  bool x
)