tensorflow :: ops :: SparseApplyAdadelta

#include <training_ops.h>

var: Harus dari Variabel ().

Ringkasan

Argumen:

• scope: Objek Scope
• akumulasi: Harus dari Variabel ().
• akum_update:: Harus dari Variabel ().
• lr: Kecepatan pembelajaran. Harus skalar.
• rho: Faktor pembusukan. Harus skalar.
• epsilon: Faktor konstanta. Harus skalar.
• grad: Gradien.
• indeks: Vektor indeks ke dalam dimensi pertama var dan akum.

Atribut opsional (lihat Attrs ):

• use_locking: Jika True, pembaruan tensor var dan akumulator akan dilindungi oleh kunci; jika tidak, perilakunya tidak ditentukan, tetapi mungkin menunjukkan lebih sedikit pertentangan.

Pengembalian:

• Output : Sama seperti "var".

Pembuat dan Penghancur
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	Operation
out	:: tensorflow::Output

Fungsi publik
node () const	::tensorflow::Node *
operator::tensorflow::Input () const
operator::tensorflow::Output () const

Fungsi statis publik
UseLocking (bool x)	Attrs

Structs
tensorflow :: ops :: SparseApplyAdadelta :: Attrs	Penyetel atribut opsional untuk SparseApplyAdadelta .

Atribut publik

operasi

Operation operation

di luar

::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 :: Keluaran

 operator::tensorflow::Output() const 

Fungsi statis publik

UseLocking

Attrs UseLocking(
  bool x
)