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tensorflow::ops::QuantizedAvgPool
#include <nn_ops.h>
Produces the average pool of the input tensor for quantized types.
Summary
Args:
- scope: A Scope object
- input: 4-D with shape
[batch, height, width, channels].
- min_input: The float value that the lowest quantized input value represents.
- max_input: The float value that the highest quantized input value represents.
- ksize: The size of the window for each dimension of the input tensor. The length must be 4 to match the number of dimensions of the input.
- strides: The stride of the sliding window for each dimension of the input tensor. The length must be 4 to match the number of dimensions of the input.
- padding: The type of padding algorithm to use.
Returns:
Output outputOutput min_output: The float value that the lowest quantized output value represents.Output max_output: The float value that the highest quantized output value represents.
Public attributes
Public functions
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Last updated 2021-11-15 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2021-11-15 UTC."],[],[],null,["# tensorflow::ops::QuantizedAvgPool Class Reference\n\ntensorflow::ops::QuantizedAvgPool\n=================================\n\n`#include \u003cnn_ops.h\u003e`\n\nProduces the average pool of the input tensor for quantized types.\n\nSummary\n-------\n\nArgs:\n\n- scope: A [Scope](/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- input: 4-D with shape `[batch, height, width, channels]`.\n- min_input: The float value that the lowest quantized input value represents.\n- max_input: The float value that the highest quantized input value represents.\n- ksize: The size of the window for each dimension of the input tensor. The length must be 4 to match the number of dimensions of the input.\n- strides: The stride of the sliding window for each dimension of the input tensor. The length must be 4 to match the number of dimensions of the input.\n- padding: The type of padding algorithm to use.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) output\n- [Output](/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) min_output: The float value that the lowest quantized output value represents.\n- [Output](/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) max_output: The float value that the highest quantized output value represents.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [QuantizedAvgPool](#classtensorflow_1_1ops_1_1_quantized_avg_pool_1a0823ca0ce083dff45fb61cbe18b80e5e)`(const ::`[tensorflow::Scope](/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input, ::`[tensorflow::Input](/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` min_input, ::`[tensorflow::Input](/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` max_input, const gtl::ArraySlice\u003c int \u003e & ksize, const gtl::ArraySlice\u003c int \u003e & strides, StringPiece padding)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------|\n| [max_output](#classtensorflow_1_1ops_1_1_quantized_avg_pool_1a10d8a56c7b4c34bbe566ca787e2ebc87) | `::`[tensorflow::Output](/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [min_output](#classtensorflow_1_1ops_1_1_quantized_avg_pool_1a6724f4314e0b43a958cf6b78bd096510) | `::`[tensorflow::Output](/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_quantized_avg_pool_1a49a59391821a67d191168d947cd36055) | [Operation](/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_quantized_avg_pool_1a117cc564ad5019e8659a3a3714cb3411) | `::`[tensorflow::Output](/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\nPublic attributes\n-----------------\n\n### max_output\n\n```scdoc\n::tensorflow::Output max_output\n``` \n\n### min_output\n\n```scdoc\n::tensorflow::Output min_output\n``` \n\n### operation\n\n```text\nOperation operation\n``` \n\n### output\n\n```text\n::tensorflow::Output output\n``` \n\nPublic functions\n----------------\n\n### QuantizedAvgPool\n\n```gdscript\n QuantizedAvgPool(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input min_input,\n ::tensorflow::Input max_input,\n const gtl::ArraySlice\u003c int \u003e & ksize,\n const gtl::ArraySlice\u003c int \u003e & strides,\n StringPiece padding\n)\n```"]]
