tensorflow::ops::ApplyAdagradDA

#include <training_ops.h>

Perbarui '*var' sesuai dengan skema adagrad proksimal.

Ringkasan

Argumen:

  • Cakupan: Objek Cakupan
  • var: Seharusnya berasal dari Variable().
  • gradient_accumulator: Harus berasal dari Variable().
  • gradient_squared_accumulator: Seharusnya berasal dari Variable().
  • grad: Gradien.
  • lr: Faktor skala. Harus berupa besaran skalar.
  • l1: Regularisasi L1. Harus berupa skalar.
  • l2: Regularisasi L2. Harus berupa skalar.
  • global_step: Nomor langkah pelatihan. Harus berupa skalar.

Atribut opsional (lihat Attrs ):

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

Mengembalikan:

Konstruktor dan Destruktor

ApplyAdagradDA (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input gradient_accumulator, :: tensorflow::Input gradient_squared_accumulator, :: tensorflow::Input grad, :: tensorflow::Input lr, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input global_step)
ApplyAdagradDA (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input gradient_accumulator, :: tensorflow::Input gradient_squared_accumulator, :: tensorflow::Input grad, :: tensorflow::Input lr, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input global_step, const ApplyAdagradDA::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)

Struktur

tensorflow::ops::ApplyAdagradDA::Attrs

Pengaturan atribut opsional untuk ApplyAdagradDA .

Atribut publik

operasi 

Operation operation

keluar 

::tensorflow::Output out

Fungsi publik

ApplyAdagradDA 

 ApplyAdagradDA(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input gradient_accumulator,
  ::tensorflow::Input gradient_squared_accumulator,
  ::tensorflow::Input grad,
  ::tensorflow::Input lr,
  ::tensorflow::Input l1,
  ::tensorflow::Input l2,
  ::tensorflow::Input global_step
)

ApplyAdagradDA 

 ApplyAdagradDA(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input gradient_accumulator,
  ::tensorflow::Input gradient_squared_accumulator,
  ::tensorflow::Input grad,
  ::tensorflow::Input lr,
  ::tensorflow::Input l1,
  ::tensorflow::Input l2,
  ::tensorflow::Input global_step,
  const ApplyAdagradDA::Attrs & attrs
)

simpul 

::tensorflow::Node * node() const

operator::tensorflow::Input 

 operator::tensorflow::Input() const

operator::tensorflow::Output 

 operator::tensorflow::Output() const

Fungsi statis publik

GunakanPenguncian 

Attrs UseLocking(
  bool x
)