tensorflow::ops::QuantizedRelu
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#include <nn_ops.h>
Computes Quantized Rectified Linear: max(features, 0)
Summary
Arguments:
- scope: A Scope object
- min_features: The float value that the lowest quantized value represents.
- max_features: The float value that the highest quantized value represents.
Returns:
Output activations: Has the same output shape as "features".Output min_activations: The float value that the lowest quantized value represents.Output max_activations: The float value that the highest quantized value represents.
Public static functions
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OutType(DataType x)
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Public attributes
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Last updated 2020-04-20 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-04-20 UTC."],[],[],null,["# tensorflow::ops::QuantizedRelu Class Reference\n\ntensorflow::ops::QuantizedRelu\n==============================\n\n`#include \u003cnn_ops.h\u003e`\n\nComputes Quantized Rectified Linear: `max(features, 0)`\n\nSummary\n-------\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/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/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) activations: Has the same output shape as \"features\".\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) min_activations: The float value that the lowest quantized value represents.\n- [Output](/versions/r1.15/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| [QuantizedRelu](#classtensorflow_1_1ops_1_1_quantized_relu_1a5e0ded07ba3f7153a1fd2e8c4c9c0216)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` features, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` min_features, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` max_features)` ||\n| [QuantizedRelu](#classtensorflow_1_1ops_1_1_quantized_relu_1a0ab4441e9d7f69037c5025e86c8f788f)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` features, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` min_features, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` max_features, const `[QuantizedRelu::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/quantized-relu/attrs#structtensorflow_1_1ops_1_1_quantized_relu_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [activations](#classtensorflow_1_1ops_1_1_quantized_relu_1a02d03a3b17e4effc4ecfacc918af94aa) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [max_activations](#classtensorflow_1_1ops_1_1_quantized_relu_1a4d8de642f5ac09db0028d525ac65ac20) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [min_activations](#classtensorflow_1_1ops_1_1_quantized_relu_1a284154376c40954f461a7f12337dda9c) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_quantized_relu_1a43b2894a63c8973dff9ba7300efed1c7) | [Operation](/versions/r1.15/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_1aea716e4dc2073aaa2cf530fa34709491)`(DataType x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/quantized-relu/attrs#structtensorflow_1_1ops_1_1_quantized_relu_1_1_attrs) |\n\n| ### Structs ||\n|-----------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::QuantizedRelu::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/quantized-relu/attrs) | Optional attribute setters for [QuantizedRelu](/versions/r1.15/api_docs/cc/class/tensorflow/ops/quantized-relu#classtensorflow_1_1ops_1_1_quantized_relu). |\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### QuantizedRelu\n\n```gdscript\n QuantizedRelu(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input features,\n ::tensorflow::Input min_features,\n ::tensorflow::Input max_features\n)\n``` \n\n### QuantizedRelu\n\n```gdscript\n QuantizedRelu(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input features,\n ::tensorflow::Input min_features,\n ::tensorflow::Input max_features,\n const QuantizedRelu::Attrs & attrs\n)\n``` \n\nPublic static functions\n-----------------------\n\n### OutType\n\n```text\nAttrs OutType(\n DataType x\n)\n```"]]
