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tensoreflusso:: ops:: MaxPool3D
#include <nn_ops.h> Esegue il pooling massimo 3D sull'input.
Riepilogo
Argomenti:
- scope: un oggetto Scope
- input: tensore della forma
[batch, depth, rows, cols, channels] su cui raggruppare. - ksize: tensore 1-D di lunghezza 5. La dimensione della finestra per ciascuna dimensione del tensore di input. Deve avere
ksize[0] = ksize[4] = 1 . - passi: tensore 1-D di lunghezza 5. Il passo della finestra scorrevole per ogni dimensione di
input . Deve avere strides[0] = strides[4] = 1 . - riempimento: il tipo di algoritmo di riempimento da utilizzare.
Attributi facoltativi (vedi Attrs ):
- data_format: il formato dei dati di input e output. Con il formato predefinito "NDHWC", i dati vengono archiviati nell'ordine di: [batch, in_profondità, in_altezza, in_larghezza, in_canali]. In alternativa, il formato potrebbe essere "NCDHW", l'ordine di archiviazione dei dati è: [batch, in_channels, in_ Depth, in_height, in_width].
Resi:
-
Output : il massimo tensore di output in pool.
Funzioni pubbliche statiche |
|---|
DataFormat (StringPiece x) | |
Attributi pubblici
Funzioni pubbliche
MaxPool3D
MaxPool3D(
const ::tensorflow::Scope & scope,
::tensorflow::Input input,
const gtl::ArraySlice< int > & ksize,
const gtl::ArraySlice< int > & strides,
StringPiece padding
)
nodo
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operatore::tensorflow::Output
operator::tensorflow::Output() const
Funzioni pubbliche statiche
Attrs DataFormat(
StringPiece x
)
Salvo quando diversamente specificato, i contenuti di questa pagina sono concessi in base alla licenza Creative Commons Attribution 4.0, mentre gli esempi di codice sono concessi in base alla licenza Apache 2.0. Per ulteriori dettagli, consulta le norme del sito di Google Developers. Java è un marchio registrato di Oracle e/o delle sue consociate.
Ultimo aggiornamento 2025-07-27 UTC.
[null,null,["Ultimo aggiornamento 2025-07-27 UTC."],[],[],null,["# tensorflow::ops::MaxPool3D Class Reference\n\ntensorflow::ops::MaxPool3D\n==========================\n\n`#include \u003cnn_ops.h\u003e`\n\nPerforms 3D max pooling on the input.\n\nSummary\n-------\n\nArguments:\n\n- scope: A [Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- input: Shape `[batch, depth, rows, cols, channels]` tensor to pool over.\n- ksize: 1-D tensor of length 5. The size of the window for each dimension of the input tensor. Must have `ksize[0] = ksize[4] = 1`.\n- strides: 1-D tensor of length 5. The stride of the sliding window for each dimension of `input`. Must have `strides[0] = strides[4] = 1`.\n- padding: The type of padding algorithm to use.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/max-pool3-d/attrs#structtensorflow_1_1ops_1_1_max_pool3_d_1_1_attrs)):\n\n- data_format: The data format of the input and output data. With the default format \"NDHWC\", the data is stored in the order of: \\[batch, in_depth, in_height, in_width, in_channels\\]. Alternatively, the format could be \"NCDHW\", the data storage order is: \\[batch, in_channels, in_depth, in_height, in_width\\].\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.3/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| [MaxPool3D](#classtensorflow_1_1ops_1_1_max_pool3_d_1aeb6586ec4fe23863dadcdf397955938c)`(const ::`[tensorflow::Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.3/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| [MaxPool3D](#classtensorflow_1_1ops_1_1_max_pool3_d_1a881d1a222223a16559edc5edc2dbb26a)`(const ::`[tensorflow::Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.3/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 `[MaxPool3D::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/max-pool3-d/attrs#structtensorflow_1_1ops_1_1_max_pool3_d_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_max_pool3_d_1a05a457fb3e2c711d36cbd33ee4cc870e) | [Operation](/versions/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_max_pool3_d_1a205fc0930f581dc28a140df0227f881d) | `::`[tensorflow::Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|-----------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_max_pool3_d_1a65dc0444be728bff9614929b11ee04a7)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_max_pool3_d_1a53f97b9d2f3e3cb1e294decc0c7db353)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_max_pool3_d_1ad647c73e65c2224bd258d40b817e3984)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-----------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|\n| [DataFormat](#classtensorflow_1_1ops_1_1_max_pool3_d_1adb9ab115eeca3aca6a708bdd6fc136a0)`(StringPiece x)` | [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/max-pool3-d/attrs#structtensorflow_1_1ops_1_1_max_pool3_d_1_1_attrs) |\n\n| ### Structs ||\n|---------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::MaxPool3D::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/max-pool3-d/attrs) | Optional attribute setters for [MaxPool3D](/versions/r2.3/api_docs/cc/class/tensorflow/ops/max-pool3-d#classtensorflow_1_1ops_1_1_max_pool3_d). |\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### MaxPool3D\n\n```gdscript\n MaxPool3D(\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### MaxPool3D\n\n```gdscript\n MaxPool3D(\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 MaxPool3D::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```"]]
