tensorflow :: ops :: FakeQuantWithMinMaxArgsGradient
#include <array_ops.h>
Hitung gradien untuk operasi FakeQuantWithMinMaxArgs .
Ringkasan
Argumen:
- scope: Objek Scope
- gradien: Gradien propagasi mundur di atas operasi FakeQuantWithMinMaxArgs .
- input: Nilai yang diteruskan sebagai input ke operasi FakeQuantWithMinMaxArgs .
Pengembalian:
-
Output
: Gradien yang dipropagasi mundur di bawah operasi FakeQuantWithMinMaxArgs :gradients * (inputs >= min && inputs <= max)
.
Pembuat dan Penghancur | |
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FakeQuantWithMinMaxArgsGradient (const :: tensorflow::Scope & scope, :: tensorflow::Input gradients, :: tensorflow::Input inputs) | |
FakeQuantWithMinMaxArgsGradient (const :: tensorflow::Scope & scope, :: tensorflow::Input gradients, :: tensorflow::Input inputs, const FakeQuantWithMinMaxArgsGradient::Attrs & attrs) |
Atribut publik | |
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backprops | |
operation |
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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Max (float x) | |
Min (float x) | |
NarrowRange (bool x) | |
NumBits (int64 x) |
Structs | |
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tensorflow :: ops :: FakeQuantWithMinMaxArgsGradient :: Attrs | Penyetel atribut opsional untuk FakeQuantWithMinMaxArgsGradient . |
Atribut publik
backprops
::tensorflow::Output backprops
operasi
Operation operation
Fungsi publik
FakeQuantWithMinMaxArgsGradient
FakeQuantWithMinMaxArgsGradient( const ::tensorflow::Scope & scope, ::tensorflow::Input gradients, ::tensorflow::Input inputs )
FakeQuantWithMinMaxArgsGradient
FakeQuantWithMinMaxArgsGradient( const ::tensorflow::Scope & scope, ::tensorflow::Input gradients, ::tensorflow::Input inputs, const FakeQuantWithMinMaxArgsGradient::Attrs & attrs )
simpul
::tensorflow::Node * node() const
operator :: tensorflow :: Input
operator::tensorflow::Input() const
operator :: tensorflow :: Keluaran
operator::tensorflow::Output() const
Fungsi statis publik
Max
Attrs Max( float x )
Min
Attrs Min( float x )
NarrowRange
Attrs NarrowRange( bool x )
NumBits
Attrs NumBits( int64 x )