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#include <nn_ops.h> Calcola il gradiente della dilatazione morfologica 2-D rispetto all'input.
Riepilogo
Argomenti:
- scope: un oggetto Scope
- input: 4-D con forma
[batch, in_height, in_width, depth] . - filtro: 3-D con forma
[filter_height, filter_width, depth] . - out_backprop: 4-D con forma
[batch, out_height, out_width, depth] . - passi: 1-D di lunghezza 4. Il passo della finestra scorrevole per ogni dimensione del tensore di input. Deve essere:
[1, stride_height, stride_width, 1] . - frequenze: 1-D di lunghezza 4. Il passo di ingresso per la dilatazione morfologica atroale. Deve essere:
[1, rate_height, rate_width, 1] . - riempimento: il tipo di algoritmo di riempimento da utilizzare.
Resi:
-
Output : 4-D con forma [batch, in_height, in_width, depth] .
Attributi pubblici
Funzioni pubbliche
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 2025-07-26 UTC.
[null,null,["Ultimo aggiornamento 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::Dilation2DBackpropInput Class Reference\n\ntensorflow::ops::Dilation2DBackpropInput\n========================================\n\n`#include \u003cnn_ops.h\u003e`\n\nComputes the gradient of morphological 2-D dilation with respect to 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 with shape `[batch, in_height, in_width, depth]`.\n- filter: 3-D with shape `[filter_height, filter_width, depth]`.\n- out_backprop: 4-D with shape `[batch, out_height, out_width, depth]`.\n- strides: 1-D of length 4. The stride of the sliding window for each dimension of the input tensor. Must be: `[1, stride_height, stride_width, 1]`.\n- rates: 1-D of length 4. The input stride for atrous morphological dilation. Must be: `[1, rate_height, rate_width, 1]`.\n- padding: The type of padding algorithm to use.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): 4-D with shape `[batch, in_height, in_width, depth]`.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [Dilation2DBackpropInput](#classtensorflow_1_1ops_1_1_dilation2_d_backprop_input_1a656665a13419870e177ca6b67a869f31)`(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, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` filter, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` out_backprop, const gtl::ArraySlice\u003c int \u003e & strides, const gtl::ArraySlice\u003c int \u003e & rates, StringPiece padding)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [in_backprop](#classtensorflow_1_1ops_1_1_dilation2_d_backprop_input_1a40353e552051aa8801ef9f9ad4efc15c) | `::`[tensorflow::Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_dilation2_d_backprop_input_1a02412d298e84e41cd1bd2a21b9a064f4) | [Operation](/versions/r2.2/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n\n| ### Public functions ||\n|--------------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_dilation2_d_backprop_input_1ab58e7a7ffead7f2dd0dcc062204f47f8)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_dilation2_d_backprop_input_1a4ad020555d5b8ffc10bdf49956232358)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_dilation2_d_backprop_input_1a8029c3562d2413ed5a8b249933690e32)`() const ` | ` ` ` ` |\n\nPublic attributes\n-----------------\n\n### in_backprop\n\n```scdoc\n::tensorflow::Output in_backprop\n``` \n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### Dilation2DBackpropInput\n\n```gdscript\n Dilation2DBackpropInput(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input filter,\n ::tensorflow::Input out_backprop,\n const gtl::ArraySlice\u003c int \u003e & strides,\n const gtl::ArraySlice\u003c int \u003e & rates,\n StringPiece padding\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```"]]
