aliran tensor:: operasi:: ResourceApplyFtrl

#include <training_ops.h>

Perbarui '*var' sesuai dengan skema Ftrl-proksimal.

Ringkasan

accum_new = accum + grad * grad linear += grad - (accum_new^(-lr_power) - accum^(-lr_power)) / lr * var kuadrat = 1,0 / (accum_new^(lr_power) * lr) + 2 * l2 var = (tanda(linier) * l1 - linier) / kuadrat jika |linier| > l1 lain 0,0 akumulasi = akumulasi_baru

Argumen:

  • ruang lingkup: Objek Lingkup
  • var: Harus dari Variabel().
  • accum: Harus dari Variabel().
  • linier: Harus dari Variabel().
  • lulusan: Gradien.
  • lr: Faktor penskalaan. Pasti skalar.
  • l1: Regulariasi L1. Pasti skalar.
  • l2: Regulariasi L2. Pasti skalar.
  • lr_power: Faktor penskalaan. Pasti skalar.

Atribut opsional (lihat Attrs ):

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

Pengembalian:

Konstruktor dan Destruktor

ResourceApplyFtrl (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input accum, :: tensorflow::Input linear, :: tensorflow::Input grad, :: tensorflow::Input lr, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input lr_power)
ResourceApplyFtrl (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input accum, :: tensorflow::Input linear, :: tensorflow::Input grad, :: tensorflow::Input lr, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input lr_power, const ResourceApplyFtrl::Attrs & attrs)

Atribut publik

operation

Fungsi publik

operator::tensorflow::Operation () const

Fungsi statis publik

UseLocking (bool x)

Struktur

tensorflow:: ops:: ResourceApplyFtrl:: Attrs

Penyetel atribut opsional untuk ResourceApplyFtrl .

Atribut publik

operasi 

Operation operation

Fungsi publik

ResourceApplyFtrl 

 ResourceApplyFtrl(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input accum,
  ::tensorflow::Input linear,
  ::tensorflow::Input grad,
  ::tensorflow::Input lr,
  ::tensorflow::Input l1,
  ::tensorflow::Input l2,
  ::tensorflow::Input lr_power
)

ResourceApplyFtrl 

 ResourceApplyFtrl(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input accum,
  ::tensorflow::Input linear,
  ::tensorflow::Input grad,
  ::tensorflow::Input lr,
  ::tensorflow::Input l1,
  ::tensorflow::Input l2,
  ::tensorflow::Input lr_power,
  const ResourceApplyFtrl::Attrs & attrs
)

operator::tensorflow::Operasi 

 operator::tensorflow::Operation() const

Fungsi statis publik

Gunakan Penguncian 

Attrs UseLocking(
  bool x
)