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텐서플로우:: 작전:: 최대 풀
#include <nn_ops.h>
입력에 대해 최대 풀링을 수행합니다.
요약
인수:
- 범위: 범위 개체
- 입력: 풀 오버에 대한 4D 입력입니다.
- ksize: 입력 텐서의 각 차원에 대한 창 크기입니다.
- strides: 입력 텐서의 각 차원에 대한 슬라이딩 윈도우의 보폭입니다.
- padding: 사용할 패딩 알고리즘 유형입니다.
선택적 속성( Attrs
참조):
- data_format: 입력 및 출력 데이터의 데이터 형식을 지정합니다. 기본 형식인 "NHWC"를 사용하면 데이터가 [batch, in_height, in_width, in_channels] 순서로 저장됩니다. 또는 형식은 [batch, in_channels, in_height, in_width]의 데이터 저장 순서인 "NCHW"일 수 있습니다.
보고:
공개 속성
공공 기능
최대 풀
MaxPool(
const ::tensorflow::Scope & scope,
::tensorflow::Input input,
const gtl::ArraySlice< int > & ksize,
const gtl::ArraySlice< int > & strides,
StringPiece padding
)
마디
::tensorflow::Node * node() const
operator::tensorflow::Input() const
연산자::텐서플로우::출력
operator::tensorflow::Output() const
공개 정적 함수
Attrs DataFormat(
StringPiece x
)
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최종 업데이트: 2025-07-27(UTC)
[null,null,["최종 업데이트: 2025-07-27(UTC)"],[],[],null,["# tensorflow::ops::MaxPool Class Reference\n\ntensorflow::ops::MaxPool\n========================\n\n`#include \u003cnn_ops.h\u003e`\n\nPerforms max pooling on the input.\n\nSummary\n-------\n\nArguments:\n\n- scope: A [Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- input: 4-D input to pool over.\n- ksize: The size of the window for each dimension of the input tensor.\n- strides: The stride of the sliding window for each dimension of the input tensor.\n- padding: The type of padding algorithm to use.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/max-pool/attrs#structtensorflow_1_1ops_1_1_max_pool_1_1_attrs)):\n\n- data_format: Specify the data format of the input and output data. With the default format \"NHWC\", the data is stored in the order of: \\[batch, in_height, in_width, in_channels\\]. Alternatively, the format could be \"NCHW\", the data storage order of: \\[batch, in_channels, in_height, in_width\\].\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The max pooled output tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [MaxPool](#classtensorflow_1_1ops_1_1_max_pool_1a85c264b2e8ed1e7031e9e4692ea8af7c)`(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)` input, const gtl::ArraySlice\u003c int \u003e & ksize, const gtl::ArraySlice\u003c int \u003e & strides, StringPiece padding)` ||\n| [MaxPool](#classtensorflow_1_1ops_1_1_max_pool_1acb5b1aa4ace59a30fba3bc4181dbc4ff)`(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)` input, const gtl::ArraySlice\u003c int \u003e & ksize, const gtl::ArraySlice\u003c int \u003e & strides, StringPiece padding, const `[MaxPool::Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/max-pool/attrs#structtensorflow_1_1ops_1_1_max_pool_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_max_pool_1aa2739bb33bb12350d02960466baf596e) | [Operation](/versions/r2.2/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_max_pool_1aad19527c00a49d78119e18772098c1b3) | `::`[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_max_pool_1af4523c29c71806e2dbd3c1137bc875b9)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_max_pool_1a9a8f1258cb38b51df4ba77452dd41eff)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_max_pool_1a6ff803d407d19f2e5c2048399a781ee6)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|--------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------|\n| [DataFormat](#classtensorflow_1_1ops_1_1_max_pool_1a0849cb3a4a5b5191cae18dc8825701ef)`(StringPiece x)` | [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/max-pool/attrs#structtensorflow_1_1ops_1_1_max_pool_1_1_attrs) |\n\n| ### Structs ||\n|----------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::MaxPool::Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/max-pool/attrs) | Optional attribute setters for [MaxPool](/versions/r2.2/api_docs/cc/class/tensorflow/ops/max-pool#classtensorflow_1_1ops_1_1_max_pool). |\n\nPublic attributes\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### MaxPool\n\n```gdscript\n MaxPool(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n const gtl::ArraySlice\u003c int \u003e & ksize,\n const gtl::ArraySlice\u003c int \u003e & strides,\n StringPiece padding\n)\n``` \n\n### MaxPool\n\n```gdscript\n MaxPool(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n const gtl::ArraySlice\u003c int \u003e & ksize,\n const gtl::ArraySlice\u003c int \u003e & strides,\n StringPiece padding,\n const MaxPool::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### DataFormat\n\n```text\nAttrs DataFormat(\n StringPiece x\n)\n```"]]