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tensoreflusso:: ops:: QuantizzaV2:: Attr
#include <array_ops.h> Setter di attributi opzionali per QuantizeV2 .
Riepilogo
Funzioni pubbliche |
|---|
Axis (int64 x) | Il valore predefinito è -1. |
EnsureMinimumRange (float x) | Il valore predefinito è 0,01. |
Mode (StringPiece x) | Il valore predefinito è "MIN_COMBINED". |
NarrowRange (bool x) | Il valore predefinito è falso. |
RoundMode (StringPiece x) | Il valore predefinito è "HALF_AWAY_FROM_ZERO". |
Attributi pubblici
asse_
int64 tensorflow::ops::QuantizeV2::Attrs::axis_ = -1
garantire_intervallo_minimo_
float tensorflow::ops::QuantizeV2::Attrs::ensure_minimum_range_ = 0.01f
modalità_
StringPiece tensorflow::ops::QuantizeV2::Attrs::mode_ = "MIN_COMBINED"
intervallo_ristretto_
bool tensorflow::ops::QuantizeV2::Attrs::narrow_range_ = false
round_mode_
StringPiece tensorflow::ops::QuantizeV2::Attrs::round_mode_ = "HALF_AWAY_FROM_ZERO"
Funzioni pubbliche
Asse
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeV2::Attrs::Axis(
int64 x
)
Il valore predefinito è -1.
GuaranteeIntervallo minimo
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeV2::Attrs::EnsureMinimumRange(
float x
)
Il valore predefinito è 0,01.
Modalità
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeV2::Attrs::Mode(
StringPiece x
)
Il valore predefinito è "MIN_COMBINED".
Raggio ristretto
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeV2::Attrs::NarrowRange(
bool x
)
Il valore predefinito è falso.
Modalità rotonda
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeV2::Attrs::RoundMode(
StringPiece x
)
Il valore predefinito è "HALF_AWAY_FROM_ZERO".
Salvo quando diversamente specificato, i contenuti di questa pagina sono concessi in base alla licenza Creative Commons Attribution 4.0, mentre gli esempi di codice sono concessi in base alla licenza Apache 2.0. Per ulteriori dettagli, consulta le norme del sito di Google Developers. Java è un marchio registrato di Oracle e/o delle sue consociate.
Ultimo aggiornamento 2025-07-26 UTC.
[null,null,["Ultimo aggiornamento 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::QuantizeV2::Attrs Struct Reference\n\ntensorflow::ops::QuantizeV2::Attrs\n==================================\n\n`#include \u003carray_ops.h\u003e`\n\nOptional attribute setters for [QuantizeV2](/versions/r2.2/api_docs/cc/class/tensorflow/ops/quantize-v2#classtensorflow_1_1ops_1_1_quantize_v2).\n\nSummary\n-------\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------------------------------------------|---------------|\n| [axis_](#structtensorflow_1_1ops_1_1_quantize_v2_1_1_attrs_1ae9f5b29be1f64c52ea5184db06ae2130)` = -1` | `int64` |\n| [ensure_minimum_range_](#structtensorflow_1_1ops_1_1_quantize_v2_1_1_attrs_1a117b1ce5619f8626455dd09aeacc9951)` = 0.01f` | `float` |\n| [mode_](#structtensorflow_1_1ops_1_1_quantize_v2_1_1_attrs_1ab20601b9886b94ef53207b77823b692d)` = \"MIN_COMBINED\"` | `StringPiece` |\n| [narrow_range_](#structtensorflow_1_1ops_1_1_quantize_v2_1_1_attrs_1a47d043300e82e57a1cc66aaca8dd5de8)` = false` | `bool` |\n| [round_mode_](#structtensorflow_1_1ops_1_1_quantize_v2_1_1_attrs_1addb56b3ebcd0dfa9331d7506c05d8a47)` = \"HALF_AWAY_FROM_ZERO\"` | `StringPiece` |\n\n| ### Public functions ||\n|------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Axis](#structtensorflow_1_1ops_1_1_quantize_v2_1_1_attrs_1addef3a92617cd81a59416eba93e7afb7)`(int64 x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/quantize-v2/attrs#structtensorflow_1_1ops_1_1_quantize_v2_1_1_attrs) Defaults to -1. |\n| [EnsureMinimumRange](#structtensorflow_1_1ops_1_1_quantize_v2_1_1_attrs_1a36e31baf86669cdfd75cb17f51919c0d)`(float x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/quantize-v2/attrs#structtensorflow_1_1ops_1_1_quantize_v2_1_1_attrs) Defaults to 0.01. |\n| [Mode](#structtensorflow_1_1ops_1_1_quantize_v2_1_1_attrs_1a7f0adbc174ddea06f065e004f4a1f02d)`(StringPiece x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/quantize-v2/attrs#structtensorflow_1_1ops_1_1_quantize_v2_1_1_attrs) Defaults to \"MIN_COMBINED\". |\n| [NarrowRange](#structtensorflow_1_1ops_1_1_quantize_v2_1_1_attrs_1a0bfae591c360021497e670bf197b2fb5)`(bool x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/quantize-v2/attrs#structtensorflow_1_1ops_1_1_quantize_v2_1_1_attrs) Defaults to false. |\n| [RoundMode](#structtensorflow_1_1ops_1_1_quantize_v2_1_1_attrs_1a76bb96c1bb8564f95f1a430c7df5b606)`(StringPiece x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/quantize-v2/attrs#structtensorflow_1_1ops_1_1_quantize_v2_1_1_attrs) Defaults to \"HALF_AWAY_FROM_ZERO\". |\n\nPublic attributes\n-----------------\n\n### axis_\n\n```scdoc\nint64 tensorflow::ops::QuantizeV2::Attrs::axis_ = -1\n``` \n\n### ensure_minimum_range_\n\n```scdoc\nfloat tensorflow::ops::QuantizeV2::Attrs::ensure_minimum_range_ = 0.01f\n``` \n\n### mode_\n\n```scdoc\nStringPiece tensorflow::ops::QuantizeV2::Attrs::mode_ = \"MIN_COMBINED\"\n``` \n\n### narrow_range_\n\n```scdoc\nbool tensorflow::ops::QuantizeV2::Attrs::narrow_range_ = false\n``` \n\n### round_mode_\n\n```scdoc\nStringPiece tensorflow::ops::QuantizeV2::Attrs::round_mode_ = \"HALF_AWAY_FROM_ZERO\"\n``` \n\nPublic functions\n----------------\n\n### Axis\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeV2::Attrs::Axis(\n int64 x\n)\n``` \nDefaults to -1. \n\n### EnsureMinimumRange\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeV2::Attrs::EnsureMinimumRange(\n float x\n)\n``` \nDefaults to 0.01. \n\n### Mode\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeV2::Attrs::Mode(\n StringPiece x\n)\n``` \nDefaults to \"MIN_COMBINED\". \n\n### NarrowRange\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeV2::Attrs::NarrowRange(\n bool x\n)\n``` \nDefaults to false. \n\n### RoundMode\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeV2::Attrs::RoundMode(\n StringPiece x\n)\n``` \nDefaults to \"HALF_AWAY_FROM_ZERO\"."]]
