tensorflow :: ops :: ResourceApplyProximalAdagrad
#include <training_ops.h>
Perbarui '* var' dan '* akumulasi' sesuai dengan FOBOS dengan kecepatan pembelajaran Adagrad.
Ringkasan
akumulasi + = grad * grad prox_v = var - lr * grad * (1 / sqrt (akum)) var = tanda (prox_v) / (1 + lr * l2) * max {| prox_v | -lr * l1,0}
Argumen:
- scope: Objek Scope
- var: Harus dari Variabel ().
- akumulasi: Harus dari Variabel ().
- lr: Faktor penskalaan. Harus skalar.
- l1: regularisasi L1. Harus skalar.
- l2: regularisasi L2. 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 | |
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ResourceApplyProximalAdagrad (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input accum, :: tensorflow::Input lr, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input grad) | |
ResourceApplyProximalAdagrad (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input accum, :: tensorflow::Input lr, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input grad, const ResourceApplyProximalAdagrad::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) |
Structs | |
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tensorflow :: ops :: ResourceApplyProximalAdagrad :: Attrs | Penyetel atribut opsional untuk ResourceApplyProximalAdagrad . |
Atribut publik
operasi
Operation operation
Fungsi publik
ResourceApplyProximalAdagrad
ResourceApplyProximalAdagrad( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input accum, ::tensorflow::Input lr, ::tensorflow::Input l1, ::tensorflow::Input l2, ::tensorflow::Input grad )
ResourceApplyProximalAdagrad
ResourceApplyProximalAdagrad( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input accum, ::tensorflow::Input lr, ::tensorflow::Input l1, ::tensorflow::Input l2, ::tensorflow::Input grad, const ResourceApplyProximalAdagrad::Attrs & attrs )
operator :: tensorflow :: Operasi
operator::tensorflow::Operation() const
Fungsi statis publik
UseLocking
Attrs UseLocking( bool x )