tensorflow::ops::ResourceApplyAddSign

#include <training_ops.h>

Perbarui '*var' sesuai dengan pembaruan AddSign.

Ringkasan

m_t <- beta1 * m_{t-1} + (1 - beta1) * g update <- (alpha + sign_decay * sign(g) * sign(m)) * g variable <- variable - lr_t * update

Argumen:

  • Cakupan: Objek Cakupan
  • var: Seharusnya berasal dari Variable().
  • m: Seharusnya berasal dari Variabel().
  • lr: Faktor skala. Harus berupa besaran skalar.
  • alpha: Harus berupa skalar.
  • sign_decay: Harus berupa skalar.
  • beta: Harus berupa skalar.
  • grad: Gradien.

Atribut opsional (lihat Attrs ):

  • use_locking: Jika True , pembaruan tensor var dan m dilindungi oleh kunci; jika tidak, perilakunya tidak terdefinisi, tetapi mungkin menunjukkan lebih sedikit persaingan.

Mengembalikan:

Konstruktor dan Destruktor

ResourceApplyAddSign (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input m, :: tensorflow::Input lr, :: tensorflow::Input alpha, :: tensorflow::Input sign_decay, :: tensorflow::Input beta, :: tensorflow::Input grad)
ResourceApplyAddSign (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input m, :: tensorflow::Input lr, :: tensorflow::Input alpha, :: tensorflow::Input sign_decay, :: tensorflow::Input beta, :: tensorflow::Input grad, const ResourceApplyAddSign::Attrs & attrs)

Atribut publik

operation

Fungsi publik

operator::tensorflow::Operation () const

Fungsi statis publik

UseLocking (bool x)

Struktur

tensorflow::ops::ResourceApplyAddSign::Attrs

Pengaturan atribut opsional untuk ResourceApplyAddSign .

Atribut publik

operasi 

Operation operation

Fungsi publik

Sumber DayaTerapkanTambahTanda 

 ResourceApplyAddSign(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input m,
  ::tensorflow::Input lr,
  ::tensorflow::Input alpha,
  ::tensorflow::Input sign_decay,
  ::tensorflow::Input beta,
  ::tensorflow::Input grad
)

Sumber DayaTerapkanTambahTanda 

 ResourceApplyAddSign(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input m,
  ::tensorflow::Input lr,
  ::tensorflow::Input alpha,
  ::tensorflow::Input sign_decay,
  ::tensorflow::Input beta,
  ::tensorflow::Input grad,
  const ResourceApplyAddSign::Attrs & attrs
)

operator::tensorflow::Operasi 

 operator::tensorflow::Operation() const

Fungsi statis publik

GunakanPenguncian 

Attrs UseLocking(
  bool x
)