aliran tensor:: operasi:: ResourceSparseApplyAdadelta
#include <training_ops.h>
var: Harus dari Variabel().
Ringkasan
Argumen:
- ruang lingkup: Objek Lingkup
- accum: Harus dari Variabel().
- accum_update: : Harus dari Variabel().
- lr: Kecepatan pembelajaran. Pasti skalar.
- rho : Faktor peluruhan. Pasti skalar.
- epsilon: Faktor konstan. Pasti skalar.
- lulusan: Gradien.
- indeks: Vektor indeks ke dalam dimensi pertama var dan accum.
Atribut opsional (lihat Attrs
):
- use_locking: Jika Benar, pembaruan tensor var dan accum akan dilindungi oleh kunci; jika tidak, perilaku tersebut tidak terdefinisikan, namun mungkin menunjukkan lebih sedikit pertentangan.
Pengembalian:
-
Operation
yang dibuat
Konstruktor dan Destruktor | |
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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 | |
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operation |
Fungsi publik | |
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operator::tensorflow::Operation () const |
Fungsi statis publik | |
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UseLocking (bool x) |
Struktur | |
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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
Gunakan Penguncian
Attrs UseLocking( bool x )