Mantieni tutto organizzato con le raccolte
Salva e classifica i contenuti in base alle tue preferenze.
tensoreflusso:: ops:: FakeQuantWithMinMaxArgsGradiente:: Attr
#include <array_ops.h> Setter di attributi facoltativi per FakeQuantWithMinMaxArgsGradient .
Riepilogo
Funzioni pubbliche |
|---|
Max (float x) | Il valore predefinito è 6. |
Min (float x) | Il valore predefinito è -6. |
NarrowRange (bool x) | Il valore predefinito è falso. |
NumBits (int64 x) | Il valore predefinito è 8. |
Attributi pubblici
massimo_
float tensorflow::ops::FakeQuantWithMinMaxArgsGradient::Attrs::max_ = 6.0f
min_
float tensorflow::ops::FakeQuantWithMinMaxArgsGradient::Attrs::min_ = -6.0f
intervallo_ristretto_
bool tensorflow::ops::FakeQuantWithMinMaxArgsGradient::Attrs::narrow_range_ = false
num_bit_
int64 tensorflow::ops::FakeQuantWithMinMaxArgsGradient::Attrs::num_bits_ = 8
Funzioni pubbliche
Massimo
TF_MUST_USE_RESULT Attrs tensorflow::ops::FakeQuantWithMinMaxArgsGradient::Attrs::Max(
float x
)
Il valore predefinito è 6.
minimo
TF_MUST_USE_RESULT Attrs tensorflow::ops::FakeQuantWithMinMaxArgsGradient::Attrs::Min(
float x
)
Il valore predefinito è -6.
Raggio ristretto
TF_MUST_USE_RESULT Attrs tensorflow::ops::FakeQuantWithMinMaxArgsGradient::Attrs::NarrowRange(
bool x
)
Il valore predefinito è falso.
NumBits
TF_MUST_USE_RESULT Attrs tensorflow::ops::FakeQuantWithMinMaxArgsGradient::Attrs::NumBits(
int64 x
)
Il valore predefinito è 8.
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::FakeQuantWithMinMaxArgsGradient::Attrs Struct Reference\n\ntensorflow::ops::FakeQuantWithMinMaxArgsGradient::Attrs\n=======================================================\n\n`#include \u003carray_ops.h\u003e`\n\nOptional attribute setters for [FakeQuantWithMinMaxArgsGradient](/versions/r2.2/api_docs/cc/class/tensorflow/ops/fake-quant-with-min-max-args-gradient#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient).\n\nSummary\n-------\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------------------------------------------------------|---------|\n| [max_](#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1_1_attrs_1a2946b59d8e6247c5ff79b4137c3a3d77)` = 6.0f` | `float` |\n| [min_](#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1_1_attrs_1aeeda11bffea42f79d8db21164ce05619)` = -6.0f` | `float` |\n| [narrow_range_](#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1_1_attrs_1a5dae68faf5fe587cedc739a970bf10d9)` = false` | `bool` |\n| [num_bits_](#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1_1_attrs_1a4914428b8dd7854ca67a165b254c45cf)` = 8` | `int64` |\n\n| ### Public functions ||\n|------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Max](#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1_1_attrs_1ac53fcc80cfb057ae0d66eafe0492e00b)`(float x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-args-gradient/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1_1_attrs) Defaults to 6. |\n| [Min](#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1_1_attrs_1a6e931015f464dc07eba994848b116ac6)`(float x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-args-gradient/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1_1_attrs) Defaults to -6. |\n| [NarrowRange](#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1_1_attrs_1a04d8916ac676cbb755d6e30be484421f)`(bool x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-args-gradient/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1_1_attrs) Defaults to false. |\n| [NumBits](#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1_1_attrs_1a6c2dd332ac497f6e8a814339a021f6ed)`(int64 x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-args-gradient/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1_1_attrs) Defaults to 8. |\n\nPublic attributes\n-----------------\n\n### max_\n\n```scdoc\nfloat tensorflow::ops::FakeQuantWithMinMaxArgsGradient::Attrs::max_ = 6.0f\n``` \n\n### min_\n\n```scdoc\nfloat tensorflow::ops::FakeQuantWithMinMaxArgsGradient::Attrs::min_ = -6.0f\n``` \n\n### narrow_range_\n\n```scdoc\nbool tensorflow::ops::FakeQuantWithMinMaxArgsGradient::Attrs::narrow_range_ = false\n``` \n\n### num_bits_\n\n```scdoc\nint64 tensorflow::ops::FakeQuantWithMinMaxArgsGradient::Attrs::num_bits_ = 8\n``` \n\nPublic functions\n----------------\n\n### Max\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::FakeQuantWithMinMaxArgsGradient::Attrs::Max(\n float x\n)\n``` \nDefaults to 6. \n\n### Min\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::FakeQuantWithMinMaxArgsGradient::Attrs::Min(\n float x\n)\n``` \nDefaults to -6. \n\n### NarrowRange\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::FakeQuantWithMinMaxArgsGradient::Attrs::NarrowRange(\n bool x\n)\n``` \nDefaults to false. \n\n### NumBits\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::FakeQuantWithMinMaxArgsGradient::Attrs::NumBits(\n int64 x\n)\n``` \nDefaults to 8."]]
