tensorflow:: אופס:: QuantizedReluX
#include <nn_ops.h>
מחשבת X Quantized Rectified Linear: min(max(features, 0), max_value)
תַקצִיר
טיעונים:
- scope: אובייקט Scope
- min_features: הערך הצף שהערך הקוונטי הנמוך ביותר מייצג.
- max_features: הערך הצף שהערך הקוונטי הגבוה ביותר מייצג.
החזרות:
- הפעלות
Output
: בעלת צורת פלט זהה ל"תכונות". -
Output
min_activations: הערך הצף שהערך המקוונטי הנמוך ביותר מייצג. -
Output
max_activations: הערך הצף שהערך המקוונטי הגבוה ביותר מייצג.
בנאים והורסים | |
---|---|
QuantizedReluX (const :: tensorflow::Scope & scope, :: tensorflow::Input features, :: tensorflow::Input max_value, :: tensorflow::Input min_features, :: tensorflow::Input max_features) | |
QuantizedReluX (const :: tensorflow::Scope & scope, :: tensorflow::Input features, :: tensorflow::Input max_value, :: tensorflow::Input min_features, :: tensorflow::Input max_features, const QuantizedReluX::Attrs & attrs) |
תכונות ציבוריות | |
---|---|
activations | |
max_activations | |
min_activations | |
operation |
פונקציות סטטיות ציבוריות | |
---|---|
OutType (DataType x) |
מבנים | |
---|---|
tensorflow:: ops:: QuantizedReluX:: Attrs | קובעי תכונות אופציונליים עבור QuantizedReluX . |
תכונות ציבוריות
הפעלות
::tensorflow::Output activations
max_activations
::tensorflow::Output max_activations
min_activations
::tensorflow::Output min_activations
מִבצָע
Operation operation
תפקידים ציבוריים
QuantizedReluX
QuantizedReluX( const ::tensorflow::Scope & scope, ::tensorflow::Input features, ::tensorflow::Input max_value, ::tensorflow::Input min_features, ::tensorflow::Input max_features )
QuantizedReluX
QuantizedReluX( const ::tensorflow::Scope & scope, ::tensorflow::Input features, ::tensorflow::Input max_value, ::tensorflow::Input min_features, ::tensorflow::Input max_features, const QuantizedReluX::Attrs & attrs )
פונקציות סטטיות ציבוריות
OutType
Attrs OutType( DataType x )
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עדכון אחרון: 2025-07-27 (שעון UTC).
[null,null,["עדכון אחרון: 2025-07-27 (שעון UTC)."],[],[],null,["# tensorflow::ops::QuantizedReluX Class Reference\n\ntensorflow::ops::QuantizedReluX\n===============================\n\n`#include \u003cnn_ops.h\u003e`\n\nComputes Quantized Rectified Linear X: `min(max(features, 0), max_value)`\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| [QuantizedReluX](#classtensorflow_1_1ops_1_1_quantized_relu_x_1a5509eb6445753af1e18a06d139885f02)`(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)` max_value, ::`[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| [QuantizedReluX](#classtensorflow_1_1ops_1_1_quantized_relu_x_1afed49bee2c994cad34ec5c1462161fa8)`(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)` max_value, ::`[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 `[QuantizedReluX::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/quantized-relu-x/attrs#structtensorflow_1_1ops_1_1_quantized_relu_x_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [activations](#classtensorflow_1_1ops_1_1_quantized_relu_x_1a594fb96f49dbedf8a3810caf4886bc3e) | `::`[tensorflow::Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [max_activations](#classtensorflow_1_1ops_1_1_quantized_relu_x_1a609f233b7ea6a001d77cadd7ff184561) | `::`[tensorflow::Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [min_activations](#classtensorflow_1_1ops_1_1_quantized_relu_x_1a3165bc8619ed4997ca3592545cbfa209) | `::`[tensorflow::Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_quantized_relu_x_1a87f9e55b0b58742fc7c2d2a819b66c18) | [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_relu_x_1aab024e89293405d30cf1c3e18034a56c)`(DataType x)` | [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/quantized-relu-x/attrs#structtensorflow_1_1ops_1_1_quantized_relu_x_1_1_attrs) |\n\n| ### Structs ||\n|-------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::QuantizedReluX::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/quantized-relu-x/attrs) | Optional attribute setters for [QuantizedReluX](/versions/r2.0/api_docs/cc/class/tensorflow/ops/quantized-relu-x#classtensorflow_1_1ops_1_1_quantized_relu_x). |\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### QuantizedReluX\n\n```gdscript\n QuantizedReluX(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input features,\n ::tensorflow::Input max_value,\n ::tensorflow::Input min_features,\n ::tensorflow::Input max_features\n)\n``` \n\n### QuantizedReluX\n\n```gdscript\n QuantizedReluX(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input features,\n ::tensorflow::Input max_value,\n ::tensorflow::Input min_features,\n ::tensorflow::Input max_features,\n const QuantizedReluX::Attrs & attrs\n)\n``` \n\nPublic static functions\n-----------------------\n\n### OutType\n\n```text\nAttrs OutType(\n DataType x\n)\n```"]]