tensorflow :: ops :: QuantizeV2 :: Attrs
#include <array_ops.h>
Opcjonalne ustawienia atrybutów dla QuantizeV2 .
streszczenie
Atrybuty publiczne | |
---|---|
axis_ = -1 | int64 |
ensure_minimum_range_ = 0.01f | float |
mode_ = "MIN_COMBINED" | StringPiece |
narrow_range_ = false | bool |
round_mode_ = "HALF_AWAY_FROM_ZERO" | StringPiece |
Funkcje publiczne | |
---|---|
Axis (int64 x) | TF_MUST_USE_RESULT Attrs Domyślnie -1. |
EnsureMinimumRange (float x) | TF_MUST_USE_RESULT Attrs Domyślnie 0,01. |
Mode (StringPiece x) | TF_MUST_USE_RESULT Attrs Domyślnie „MIN_COMBINED”. |
NarrowRange (bool x) | TF_MUST_USE_RESULT Attrs Domyślnie false. |
RoundMode (StringPiece x) | TF_MUST_USE_RESULT Attrs Domyślnie „HALF_AWAY_FROM_ZERO”. |
Atrybuty publiczne
oś_
int64 tensorflow::ops::QuantizeV2::Attrs::axis_ = -1
zapewnić_minimum_range_
float tensorflow::ops::QuantizeV2::Attrs::ensure_minimum_range_ = 0.01f
tryb_
StringPiece tensorflow::ops::QuantizeV2::Attrs::mode_ = "MIN_COMBINED"
wąski zakres_
bool tensorflow::ops::QuantizeV2::Attrs::narrow_range_ = false
round_mode_
StringPiece tensorflow::ops::QuantizeV2::Attrs::round_mode_ = "HALF_AWAY_FROM_ZERO"
Funkcje publiczne
ZapewnijMinimumRange
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeV2::Attrs::EnsureMinimumRange( float x )
Domyślnie 0,01.
Tryb
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeV2::Attrs::Mode( StringPiece x )
Domyślnie „MIN_COMBINED”.
Wąski zakres
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeV2::Attrs::NarrowRange( bool x )
Domyślnie false.
RoundMode
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeV2::Attrs::RoundMode( StringPiece x )
Domyślnie „HALF_AWAY_FROM_ZERO”.