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tensoreflusso:: ops:: QuantizedInstanceNorm:: Attr
#include <array_ops.h> Setter di attributi facoltativi per QuantizedInstanceNorm .
Riepilogo
Funzioni pubbliche |
|---|
GivenYMax (float x) | Output in y_max se output_range_given è True. |
GivenYMin (float x) | Output in y_min se output_range_given è True. |
MinSeparation (float x) | Valore minimo di y_max - y_min |
OutputRangeGiven (bool x) | Se Vero, given_y_min , given_y_min e given_y_max vengono utilizzati come intervallo di output. |
VarianceEpsilon (float x) | Un piccolo numero float per evitare la divisione per 0. |
Attributi pubblici
dato_y_max_
float tensorflow::ops::QuantizedInstanceNorm::Attrs::given_y_max_ = 0.0f
dato_y_min_
float tensorflow::ops::QuantizedInstanceNorm::Attrs::given_y_min_ = 0.0f
min_separazione_
float tensorflow::ops::QuantizedInstanceNorm::Attrs::min_separation_ = 0.001f
intervallo_output_dato_
bool tensorflow::ops::QuantizedInstanceNorm::Attrs::output_range_given_ = false
varianza_epsilon_
float tensorflow::ops::QuantizedInstanceNorm::Attrs::variance_epsilon_ = 1e-05f
Funzioni pubbliche
DatoYMax
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::GivenYMax(
float x
)
Output in y_max se output_range_given è True.
Il valore predefinito è 0
DatoYMin
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::GivenYMin(
float x
)
Output in y_min se output_range_given è True.
Il valore predefinito è 0
MinSeparazione
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::MinSeparation(
float x
)
Valore minimo di y_max - y_min
Il valore predefinito è 0,001
Intervallo di output dato
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::OutputRangeGiven(
bool x
)
Se Vero, given_y_min , given_y_min e given_y_max vengono utilizzati come intervallo di output.
Altrimenti, l'implementazione calcola l'intervallo di output.
Il valore predefinito è falso
VarianzaEpsilon
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::VarianceEpsilon(
float x
)
Un piccolo numero float per evitare la divisione per 0.
Il valore predefinito è 1e-05
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 2025-07-25 UTC.
[null,null,["Ultimo aggiornamento 2025-07-25 UTC."],[],[],null,["# tensorflow::ops::QuantizedInstanceNorm::Attrs Struct Reference\n\ntensorflow::ops::QuantizedInstanceNorm::Attrs\n=============================================\n\n`#include \u003carray_ops.h\u003e`\n\nOptional attribute setters for [QuantizedInstanceNorm](/versions/r1.15/api_docs/cc/class/tensorflow/ops/quantized-instance-norm#classtensorflow_1_1ops_1_1_quantized_instance_norm).\n\nSummary\n-------\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------------------------------------------------------|---------|\n| [given_y_max_](#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs_1a143f0f1661df75a9345104b53d2a23a1)` = 0.0f` | `float` |\n| [given_y_min_](#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs_1a66a475c41d1d5351475d1b41f4c722b9)` = 0.0f` | `float` |\n| [min_separation_](#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs_1a02e61831bb492f7e82ab72cfdd164bcd)` = 0.001f` | `float` |\n| [output_range_given_](#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs_1a90012c405dc0d5545b200b2a7ca74651)` = false` | `bool` |\n| [variance_epsilon_](#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs_1a3eb30df9c538c1316ba64edd59220592)` = 1e-05f` | `float` |\n\n| ### Public functions ||\n|---------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [GivenYMax](#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs_1a553ab19eaa986e91efec9bcac303ae9b)`(float x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs) [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) in `y_max` if `output_range_given` is True. |\n| [GivenYMin](#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs_1a05f250f2de55e37648933a2b078bb1db)`(float x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs) [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) in `y_min` if `output_range_given` is True. |\n| [MinSeparation](#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs_1a990577e61d1a959e6b16f31deeef2ac3)`(float x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs) [Minimum](/versions/r1.15/api_docs/cc/class/tensorflow/ops/minimum#classtensorflow_1_1ops_1_1_minimum) value of `y_max - y_min` |\n| [OutputRangeGiven](#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs_1a7715dcb9ec54a1cd7e45f9a30d1bd226)`(bool x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs) If True, `given_y_min` and `given_y_min` and `given_y_max` are used as the output range. |\n| [VarianceEpsilon](#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs_1abee47b20aa34a84940f8449f1c4179b2)`(float x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs) A small float number to avoid dividing by 0. |\n\nPublic attributes\n-----------------\n\n### given_y_max_\n\n```scdoc\nfloat tensorflow::ops::QuantizedInstanceNorm::Attrs::given_y_max_ = 0.0f\n``` \n\n### given_y_min_\n\n```scdoc\nfloat tensorflow::ops::QuantizedInstanceNorm::Attrs::given_y_min_ = 0.0f\n``` \n\n### min_separation_\n\n```scdoc\nfloat tensorflow::ops::QuantizedInstanceNorm::Attrs::min_separation_ = 0.001f\n``` \n\n### output_range_given_\n\n```scdoc\nbool tensorflow::ops::QuantizedInstanceNorm::Attrs::output_range_given_ = false\n``` \n\n### variance_epsilon_\n\n```gdscript\nfloat tensorflow::ops::QuantizedInstanceNorm::Attrs::variance_epsilon_ = 1e-05f\n``` \n\nPublic functions\n----------------\n\n### GivenYMax\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::GivenYMax(\n float x\n)\n``` \n[Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) in `y_max` if `output_range_given` is True.\n\nDefaults to 0 \n\n### GivenYMin\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::GivenYMin(\n float x\n)\n``` \n[Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) in `y_min` if `output_range_given` is True.\n\nDefaults to 0 \n\n### MinSeparation\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::MinSeparation(\n float x\n)\n``` \n[Minimum](/versions/r1.15/api_docs/cc/class/tensorflow/ops/minimum#classtensorflow_1_1ops_1_1_minimum) value of `y_max - y_min`\n\nDefaults to 0.001 \n\n### OutputRangeGiven\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::OutputRangeGiven(\n bool x\n)\n``` \nIf True, `given_y_min` and `given_y_min` and `given_y_max` are used as the output range.\n\nOtherwise, the implementation computes the output range.\n\nDefaults to false \n\n### VarianceEpsilon\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::VarianceEpsilon(\n float x\n)\n``` \nA small float number to avoid dividing by 0.\n\nDefaults to 1e-05"]]
