Restez organisé à l'aide des collections
Enregistrez et classez les contenus selon vos préférences.
flux tensoriel : : opérations : : FakeQuantWithMinMaxArgs
#include <array_ops.h>
Fausse quantifier le tenseur « entrées », tapez float au tenseur « sorties » du même type.
Résumé
Attributs [min; max]
définit la plage de serrage pour les données inputs
. les valeurs inputs
sont quantifiées dans la plage de quantification ( [0; 2^num_bits - 1]
lorsque narrow_range
est fausse et [1; 2^num_bits - 1]
lorsqu'elle est vraie), puis déquantifiées et sorties sous forme de flotteurs dans [min; max]
intervalle. num_bits
est la largeur de bits de la quantification ; entre 2 et 16 ans inclus.
Avant la quantification, les valeurs min
et max
sont ajustées avec la logique suivante. Il est suggéré d'avoir min <= 0 <= max
. Si 0
n'est pas dans la plage de valeurs, le comportement peut être inattendu : Si 0 < min < max
: min_adj = 0
et max_adj = max - min
. Si min < max < 0
: min_adj = min - max
et max_adj = 0
. Si min <= 0 <= max
: scale = (max - min) / (2^num_bits - 1)
, min_adj = scale * round(min / scale)
et max_adj = max + min_adj - min
.
La quantification est appelée fausse puisque la sortie est toujours en virgule flottante.
Arguments :
Retours :
-
Output
: Le tenseur des sorties.
Attributs publics
Fonctions publiques
nœud
::tensorflow::Node * node() const
operator::tensorflow::Input() const
opérateur :: tensorflow :: Sortie
operator::tensorflow::Output() const
Fonctions statiques publiques
Max.
Attrs Max(
float x
)
Min.
Attrs Min(
float x
)
Plage étroite
Attrs NarrowRange(
bool x
)
Nombre de bits
Attrs NumBits(
int64 x
)
Sauf indication contraire, le contenu de cette page est régi par une licence Creative Commons Attribution 4.0, et les échantillons de code sont régis par une licence Apache 2.0. Pour en savoir plus, consultez les Règles du site Google Developers. Java est une marque déposée d'Oracle et/ou de ses sociétés affiliées.
Dernière mise à jour le 2025/07/26 (UTC).
[null,null,["Dernière mise à jour le 2025/07/26 (UTC)."],[],[],null,["# tensorflow::ops::FakeQuantWithMinMaxArgs Class Reference\n\ntensorflow::ops::FakeQuantWithMinMaxArgs\n========================================\n\n`#include \u003carray_ops.h\u003e`\n\nFake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same type.\n\nSummary\n-------\n\nAttributes `[min; max]` define the clamping range for the `inputs` data. `inputs` values are quantized into the quantization range (`[0; 2^num_bits - 1]` when `narrow_range` is false and `[1; 2^num_bits - 1]` when it is true) and then de-quantized and output as floats in `[min; max]` interval. `num_bits` is the bitwidth of the quantization; between 2 and 16, inclusive.\n\nBefore quantization, `min` and `max` values are adjusted with the following logic. It is suggested to have `min \u003c= 0 \u003c= max`. If `0` is not in the range of values, the behavior can be unexpected: If `0 \u003c min \u003c max`: `min_adj = 0` and `max_adj = max - min`. If `min \u003c max \u003c 0`: `min_adj = min - max` and `max_adj = 0`. If `min \u003c= 0 \u003c= max`: `scale = (max - min) / (2^num_bits - 1)`, `min_adj = scale * round(min / scale)` and `max_adj = max + min_adj - min`.\n\nQuantization is called fake since the output is still in floating point.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The outputs tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [FakeQuantWithMinMaxArgs](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1a85e03d1dc3cd4bc32cd221b7b9cf6d9a)`(const ::`[tensorflow::Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` inputs)` ||\n| [FakeQuantWithMinMaxArgs](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1a5a50c94e0d72103df198cd3f00bed13d)`(const ::`[tensorflow::Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` inputs, const `[FakeQuantWithMinMaxArgs::Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-args/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1a74ebb70c787d9ab49c7e4f6a25a1caba) | [Operation](/versions/r2.2/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [outputs](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1a9f9cb032ade7705f0b4a03b0ab94cb0c) | `::`[tensorflow::Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|----------------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1adf0a81f8d2e49f0bf4eb5859fac39168)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1a51cf8e44b3b26ce30a5016a440b99c69)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1a614548643c093eefd86990ce72baece3)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|----------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Max](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1a5e82983f6429be0078510aea65c1593b)`(float x)` | [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-args/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1_1_attrs) |\n| [Min](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1a3fd5bd826632651830791d26c59fb56f)`(float x)` | [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-args/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1_1_attrs) |\n| [NarrowRange](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1a9af5fd9211a71acf844cf8d911fde2ac)`(bool x)` | [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-args/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1_1_attrs) |\n| [NumBits](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1a80f557e9c790845a7e5c910bae0ef5fd)`(int64 x)` | [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-args/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1_1_attrs) |\n\n| ### Structs ||\n|----------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::FakeQuantWithMinMaxArgs::Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-args/attrs) | Optional attribute setters for [FakeQuantWithMinMaxArgs](/versions/r2.2/api_docs/cc/class/tensorflow/ops/fake-quant-with-min-max-args#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### outputs\n\n```text\n::tensorflow::Output outputs\n``` \n\nPublic functions\n----------------\n\n### FakeQuantWithMinMaxArgs\n\n```gdscript\n FakeQuantWithMinMaxArgs(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input inputs\n)\n``` \n\n### FakeQuantWithMinMaxArgs\n\n```gdscript\n FakeQuantWithMinMaxArgs(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input inputs,\n const FakeQuantWithMinMaxArgs::Attrs & attrs\n)\n``` \n\n### node\n\n```gdscript\n::tensorflow::Node * node() const \n``` \n\n### operator::tensorflow::Input\n\n```gdscript\n operator::tensorflow::Input() const \n``` \n\n### operator::tensorflow::Output\n\n```gdscript\n operator::tensorflow::Output() const \n``` \n\nPublic static functions\n-----------------------\n\n### Max\n\n```text\nAttrs Max(\n float x\n)\n``` \n\n### Min\n\n```text\nAttrs Min(\n float x\n)\n``` \n\n### NarrowRange\n\n```text\nAttrs NarrowRange(\n bool x\n)\n``` \n\n### NumBits\n\n```text\nAttrs NumBits(\n int64 x\n)\n```"]]