tensorflow :: ops :: ResourceSparseApplyAdagradDA

#include <training_ops.h>

Perbarui entri dalam '* var' dan '* akumulasi' sesuai dengan skema adagrad proksimal.

Ringkasan

Argumen:

• scope: Objek Scope
• var: Harus dari Variabel ().
• gradient_accumulator: Harus dari Variable ().
• gradient_squared_accumulator: Harus dari Variable ().
• grad: Gradien.
• indeks: Vektor indeks ke dalam dimensi pertama var dan akum.
• lr: Kecepatan pembelajaran. Harus skalar.
• l1: regularisasi L1. Harus skalar.
• l2: regularisasi L2. Harus skalar.
• global_step: Nomor langkah pelatihan. Harus skalar.

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
ResourceSparseApplyAdagradDA (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input gradient_accumulator, :: tensorflow::Input gradient_squared_accumulator, :: tensorflow::Input grad, :: tensorflow::Input indices, :: tensorflow::Input lr, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input global_step)
ResourceSparseApplyAdagradDA (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input gradient_accumulator, :: tensorflow::Input gradient_squared_accumulator, :: tensorflow::Input grad, :: tensorflow::Input indices, :: tensorflow::Input lr, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input global_step, const ResourceSparseApplyAdagradDA::Attrs & attrs)

Atribut publik
operation	Operation

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

Fungsi statis publik
UseLocking (bool x)	Attrs

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

Atribut publik

operasi

Operation operation

Fungsi publik

ResourceSparseApplyAdagradDA

 ResourceSparseApplyAdagradDA(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input gradient_accumulator,
  ::tensorflow::Input gradient_squared_accumulator,
  ::tensorflow::Input grad,
  ::tensorflow::Input indices,
  ::tensorflow::Input lr,
  ::tensorflow::Input l1,
  ::tensorflow::Input l2,
  ::tensorflow::Input global_step
)

ResourceSparseApplyAdagradDA

 ResourceSparseApplyAdagradDA(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input gradient_accumulator,
  ::tensorflow::Input gradient_squared_accumulator,
  ::tensorflow::Input grad,
  ::tensorflow::Input indices,
  ::tensorflow::Input lr,
  ::tensorflow::Input l1,
  ::tensorflow::Input l2,
  ::tensorflow::Input global_step,
  const ResourceSparseApplyAdagradDA::Attrs & attrs
)

operator :: tensorflow :: Operasi

 operator::tensorflow::Operation() const 

Fungsi statis publik

UseLocking

Attrs UseLocking(
  bool x
)

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