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 | |
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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 | |
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operation | |
out |
Fungsi publik | |
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node () const | ::tensorflow::Node * |
operator::tensorflow::Input () const | |
operator::tensorflow::Output () const |
Fungsi statis publik | |
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UseLocking (bool x) |
Structs | |
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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 )