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텐서플로우:: 작전:: 양자화Relu6
#include <nn_ops.h>
양자화된 정류 선형 6 계산: min(max(features, 0), 6)
요약
인수:
- 범위: 범위 개체
- min_features: 가장 낮은 양자화된 값이 나타내는 부동 소수점 값입니다.
- max_features: 가장 높은 양자화된 값이 나타내는 부동 소수점 값입니다.
보고:
-
Output
활성화: "기능"과 동일한 출력 형태를 갖습니다. -
Output
min_activations: 가장 낮은 양자화된 값이 나타내는 부동 소수점 값입니다. -
Output
max_activations: 가장 높은 양자화된 값이 나타내는 부동 소수점 값입니다.
공개 속성
공공 기능
공개 정적 함수
출력 유형
Attrs OutType(
DataType x
)
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최종 업데이트: 2025-07-26(UTC)
[null,null,["최종 업데이트: 2025-07-26(UTC)"],[],[],null,["# tensorflow::ops::QuantizedRelu6 Class Reference\n\ntensorflow::ops::QuantizedRelu6\n===============================\n\n`#include \u003cnn_ops.h\u003e`\n\nComputes Quantized Rectified Linear 6: `min(max(features, 0), 6)`\n\nSummary\n-------\n\nArguments:\n\n- scope: A [Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- min_features: The float value that the lowest quantized value represents.\n- max_features: The float value that the highest quantized value represents.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) activations: Has the same output shape as \"features\".\n- [Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) min_activations: The float value that the lowest quantized value represents.\n- [Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) max_activations: The float value that the highest quantized value represents.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [QuantizedRelu6](#classtensorflow_1_1ops_1_1_quantized_relu6_1a878166661980db1eef4b8c9d50fc30bd)`(const ::`[tensorflow::Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` features, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` min_features, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` max_features)` ||\n| [QuantizedRelu6](#classtensorflow_1_1ops_1_1_quantized_relu6_1a0b98f095d6d5b347b4c2dcc3a01e8ec2)`(const ::`[tensorflow::Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` features, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` min_features, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` max_features, const `[QuantizedRelu6::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/quantized-relu6/attrs#structtensorflow_1_1ops_1_1_quantized_relu6_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|---------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [activations](#classtensorflow_1_1ops_1_1_quantized_relu6_1a0195a63b71b99cf501ef199e1268ff86) | `::`[tensorflow::Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [max_activations](#classtensorflow_1_1ops_1_1_quantized_relu6_1a6f102937d57571fa7694537be05d453b) | `::`[tensorflow::Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [min_activations](#classtensorflow_1_1ops_1_1_quantized_relu6_1a7f0565bd18f8a108c1bddef3b8fc547b) | `::`[tensorflow::Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_quantized_relu6_1a90c72f4f64dfe25a7764d19e04acda03) | [Operation](/versions/r2.0/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n\n| ### Public static functions ||\n|---------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------|\n| [OutType](#classtensorflow_1_1ops_1_1_quantized_relu6_1af73914317d242138de7fb5ac4d3faaa1)`(DataType x)` | [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/quantized-relu6/attrs#structtensorflow_1_1ops_1_1_quantized_relu6_1_1_attrs) |\n\n| ### Structs ||\n|------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::QuantizedRelu6::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/quantized-relu6/attrs) | Optional attribute setters for [QuantizedRelu6](/versions/r2.0/api_docs/cc/class/tensorflow/ops/quantized-relu6#classtensorflow_1_1ops_1_1_quantized_relu6). |\n\nPublic attributes\n-----------------\n\n### activations\n\n```text\n::tensorflow::Output activations\n``` \n\n### max_activations\n\n```scdoc\n::tensorflow::Output max_activations\n``` \n\n### min_activations\n\n```scdoc\n::tensorflow::Output min_activations\n``` \n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### QuantizedRelu6\n\n```gdscript\n QuantizedRelu6(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input features,\n ::tensorflow::Input min_features,\n ::tensorflow::Input max_features\n)\n``` \n\n### QuantizedRelu6\n\n```gdscript\n QuantizedRelu6(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input features,\n ::tensorflow::Input min_features,\n ::tensorflow::Input max_features,\n const QuantizedRelu6::Attrs & attrs\n)\n``` \n\nPublic static functions\n-----------------------\n\n### OutType\n\n```text\nAttrs OutType(\n DataType x\n)\n```"]]