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tensorflow :: operaciones :: QuantizeV2 :: Atributos
#include <array_ops.h> Configuradores de atributos opcionales para QuantizeV2 .
Resumen
Funciones publicas |
|---|
Axis (int64 x) | El valor predeterminado es -1. |
EnsureMinimumRange (float x) | El valor predeterminado es 0.01. |
Mode (StringPiece x) | El valor predeterminado es "MIN_COMBINED". |
NarrowRange (bool x) | El valor predeterminado es falso. |
RoundMode (StringPiece x) | El valor predeterminado es "HALF_AWAY_FROM_ZERO". |
Atributos públicos
eje_
int64 tensorflow::ops::QuantizeV2::Attrs::axis_ = -1
asegurar_minimum_range_
float tensorflow::ops::QuantizeV2::Attrs::ensure_minimum_range_ = 0.01f
modo_
StringPiece tensorflow::ops::QuantizeV2::Attrs::mode_ = "MIN_COMBINED"
rango estrecho_
bool tensorflow::ops::QuantizeV2::Attrs::narrow_range_ = false
round_mode_
StringPiece tensorflow::ops::QuantizeV2::Attrs::round_mode_ = "HALF_AWAY_FROM_ZERO"
Funciones publicas
Eje
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeV2::Attrs::Axis(
int64 x
)
El valor predeterminado es -1.
GarantizarRango Mínimo
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeV2::Attrs::EnsureMinimumRange(
float x
)
El valor predeterminado es 0.01.
Modo
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeV2::Attrs::Mode(
StringPiece x
)
El valor predeterminado es "MIN_COMBINED".
Rango estrecho
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeV2::Attrs::NarrowRange(
bool x
)
El valor predeterminado es falso.
RoundMode
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeV2::Attrs::RoundMode(
StringPiece x
)
El valor predeterminado es "HALF_AWAY_FROM_ZERO".
Salvo que se indique lo contrario, el contenido de esta página está sujeto a la licencia Atribución 4.0 de Creative Commons, y los ejemplos de código están sujetos a la licencia Apache 2.0. Para obtener más información, consulta las políticas del sitio de Google Developers. Java es una marca registrada de Oracle o sus afiliados.
Última actualización: 2020-04-20 (UTC)
[null,null,["Última actualización: 2020-04-20 (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\"."]]
