tensorflow :: ops :: ResourceApplyAdagrad

#include <training_ops.h>

Perbarui '* var' sesuai dengan skema adagrad.

Ringkasan

akumulasi + = grad * grad var - = lr * grad * (1 / sqrt (akum))

Argumen:

• scope: Objek Scope
• var: Harus dari Variabel ().
• akumulasi: Harus dari Variabel ().
• lr: Faktor penskalaan. Harus skalar.
• grad: Gradien.

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 perselisihan.

Pengembalian:

• Operation dibuat

Pembuat dan Penghancur
ResourceApplyAdagrad (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input accum, :: tensorflow::Input lr, :: tensorflow::Input grad)
ResourceApplyAdagrad (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input accum, :: tensorflow::Input lr, :: tensorflow::Input grad, const ResourceApplyAdagrad::Attrs & attrs)

Atribut publik
operation	Operation

Fungsi publik
operator::tensorflow::Operation () const

Fungsi statis publik
UpdateSlots (bool x)	Attrs
UseLocking (bool x)	Attrs

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

Atribut publik

operasi

Operation operation

Fungsi publik

ResourceApplyAdagrad

 ResourceApplyAdagrad(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input accum,
  ::tensorflow::Input lr,
  ::tensorflow::Input grad
)

ResourceApplyAdagrad

 ResourceApplyAdagrad(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input accum,
  ::tensorflow::Input lr,
  ::tensorflow::Input grad,
  const ResourceApplyAdagrad::Attrs & attrs
)

.dll

operator :: tensorflow :: Operasi

 operator::tensorflow::Operation() const 

Fungsi statis publik

UpdateSlots

Attrs UpdateSlots(
  bool x
)

UseLocking

Attrs UseLocking(
  bool x
)