tensorflow::ops::SparseApplyAdadelta

#include <training_ops.h>

var: Seharusnya berasal dari Variable().

Ringkasan

Argumen:

  • Cakupan: Objek Cakupan
  • accum: Seharusnya berasal dari Variable().
  • accum_update: : Seharusnya berasal dari Variable().
  • lr: Tingkat pembelajaran. Harus berupa bilangan skalar.
  • rho: Faktor peluruhan. Harus berupa besaran skalar.
  • epsilon: Faktor konstanta. Harus berupa skalar.
  • grad: Gradien.
  • indeks: Sebuah vektor indeks ke dimensi pertama dari var dan accum.

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

SparseApplyAdadelta (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input accum, :: tensorflow::Input accum_update, :: tensorflow::Input lr, :: tensorflow::Input rho, :: tensorflow::Input epsilon, :: tensorflow::Input grad, :: tensorflow::Input indices)
SparseApplyAdadelta (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input accum, :: tensorflow::Input accum_update, :: tensorflow::Input lr, :: tensorflow::Input rho, :: tensorflow::Input epsilon, :: tensorflow::Input grad, :: tensorflow::Input indices, const SparseApplyAdadelta::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::SparseApplyAdadelta::Attrs

Pengaturan atribut opsional untuk SparseApplyAdadelta .

Atribut publik

operasi 

Operation operation

keluar 

::tensorflow::Output out

Fungsi publik

SparseApplyAdadelta 

 SparseApplyAdadelta(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input accum,
  ::tensorflow::Input accum_update,
  ::tensorflow::Input lr,
  ::tensorflow::Input rho,
  ::tensorflow::Input epsilon,
  ::tensorflow::Input grad,
  ::tensorflow::Input indices
)

SparseApplyAdadelta 

 SparseApplyAdadelta(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input accum,
  ::tensorflow::Input accum_update,
  ::tensorflow::Input lr,
  ::tensorflow::Input rho,
  ::tensorflow::Input epsilon,
  ::tensorflow::Input grad,
  ::tensorflow::Input indices,
  const SparseApplyAdadelta::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
)