Mantenha tudo organizado com as coleções
Salve e categorize o conteúdo com base nas suas preferências.
fluxo tensor:: ops:: QuantizedInstanceNorm:: Atributos
#include <array_ops.h> Configuradores de atributos opcionais para QuantizedInstanceNorm .
Resumo
Funções públicas |
|---|
GivenYMax (float x) | Saída em y_max se output_range_given for True. |
GivenYMin (float x) | Saída em y_min se output_range_given for True. |
MinSeparation (float x) | |
OutputRangeGiven (bool x) | Se for True, given_y_min e given_y_min e given_y_max serão usadas como intervalo de saída. |
VarianceEpsilon (float x) | Um pequeno número flutuante para evitar a divisão por 0. |
Atributos públicos
dado_y_max_
float tensorflow::ops::QuantizedInstanceNorm::Attrs::given_y_max_ = 0.0f
dado_y_min_
float tensorflow::ops::QuantizedInstanceNorm::Attrs::given_y_min_ = 0.0f
min_separação_
float tensorflow::ops::QuantizedInstanceNorm::Attrs::min_separation_ = 0.001f
intervalo_de saída_dado_
bool tensorflow::ops::QuantizedInstanceNorm::Attrs::output_range_given_ = false
variação_épsilon_
float tensorflow::ops::QuantizedInstanceNorm::Attrs::variance_epsilon_ = 1e-05f
Funções públicas
DadoYMax
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::GivenYMax(
float x
)
Saída em y_max se output_range_given for True.
O padrão é 0
DadoYMin
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::GivenYMin(
float x
)
Saída em y_min se output_range_given for True.
O padrão é 0
Separação mínima
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::MinSeparation(
float x
)
Valor mínimo de y_max - y_min
O padrão é 0,001
OutputRangeGiven
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::OutputRangeGiven(
bool x
)
Se for True, given_y_min e given_y_min e given_y_max serão usadas como intervalo de saída.
Caso contrário, a implementação calcula o intervalo de saída.
O padrão é falso
VariânciaEpsilon
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::VarianceEpsilon(
float x
)
Um pequeno número flutuante para evitar a divisão por 0.
O padrão é 1e-05
Exceto em caso de indicação contrária, o conteúdo desta página é licenciado de acordo com a Licença de atribuição 4.0 do Creative Commons, e as amostras de código são licenciadas de acordo com a Licença Apache 2.0. Para mais detalhes, consulte as políticas do site do Google Developers. Java é uma marca registrada da Oracle e/ou afiliadas.
Última atualização 2025-07-25 UTC.
[null,null,["Última atualização 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"]]
