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tensorflow :: ops :: ResourceSparseApplyAdadelta

#include <training_ops.h>

var: Harus dari Variabel ().

Ringkasan

Argumen:

  • scope: Objek Scope
  • akumulasi: Harus dari Variabel ().
  • acc_update:: Harus dari Variable ().
  • 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 perselisihan.

Pengembalian:

Pembangun dan Penghancur

ResourceSparseApplyAdadelta (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)
ResourceSparseApplyAdadelta (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 ResourceSparseApplyAdadelta::Attrs & attrs)

Atribut publik

operation

Fungsi publik

operator::tensorflow::Operation () const

Fungsi statis publik

UseLocking (bool x)

Structs

tensorflow :: ops :: ResourceSparseApplyAdadelta :: Attrs

Penyetel atribut opsional untuk ResourceSparseApplyAdadelta .

Atribut publik

operasi

Operation operation

Fungsi publik

ResourceSparseApplyAdadelta

 ResourceSparseApplyAdadelta(
  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
)

ResourceSparseApplyAdadelta

 ResourceSparseApplyAdadelta(
  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 ResourceSparseApplyAdadelta::Attrs & attrs
)

operator :: tensorflow :: Operasi

 operator::tensorflow::Operation() const 

Fungsi statis publik

UseLocking

Attrs UseLocking(
  bool x
)