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#include <nn_ops.h>
Calcola i gradienti della convoluzione 3D rispetto all'input.
Riepilogo
Argomenti:
- scope: un oggetto Scope
- input_sizes: un vettore intero che rappresenta la forma tensore di
input
, dove input
è un tensore 5-D [batch, depth, rows, cols, in_channels]
. - filtro: Forma
[depth, rows, cols, in_channels, out_channels]
. in_channels
deve corrispondere tra input
e filter
. - out_backprop: segnale della forma Backprop
[batch, out_depth, out_rows, out_cols, out_channels]
. - 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].
- dilatazioni: tensore 1-D di lunghezza 5. Il fattore di dilatazione per ciascuna dimensione di
input
. Se impostato su k > 1, ci saranno k-1 celle saltate tra ciascun elemento filtro su quella dimensione. L'ordine delle dimensioni è determinato dal valore di data_format
, vedi sopra per i dettagli. Le dilatazioni delle dimensioni del lotto e della profondità devono essere pari a 1.
Resi:
-
Output
: il tensore di uscita.
Costruttori e distruttori |
---|
Conv3DBackpropInputV2 (const :: tensorflow::Scope & scope, :: tensorflow::Input input_sizes, :: tensorflow::Input filter, :: tensorflow::Input out_backprop, const gtl::ArraySlice< int > & strides, StringPiece padding)
|
Conv3DBackpropInputV2 (const :: tensorflow::Scope & scope, :: tensorflow::Input input_sizes, :: tensorflow::Input filter, :: tensorflow::Input out_backprop, const gtl::ArraySlice< int > & strides, StringPiece padding, const Conv3DBackpropInputV2::Attrs & attrs) |
Funzioni pubbliche statiche |
---|
DataFormat (StringPiece x) | |
Dilations (const gtl::ArraySlice< int > & x) | |
Attributi pubblici
Funzioni pubbliche
Funzioni pubbliche statiche
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::Conv3DBackpropInputV2 Class Reference\n\ntensorflow::ops::Conv3DBackpropInputV2\n======================================\n\n`#include \u003cnn_ops.h\u003e`\n\nComputes the gradients of 3-D convolution with respect to 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_sizes: An integer vector representing the tensor shape of `input`, where `input` is a 5-D `[batch, depth, rows, cols, in_channels]` tensor.\n- filter: Shape `[depth, rows, cols, in_channels, out_channels]`. `in_channels` must match between `input` and `filter`.\n- out_backprop: Backprop signal of shape `[batch, out_depth, out_rows, out_cols, out_channels]`.\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/conv3-d-backprop-input-v2/attrs#structtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_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- dilations: 1-D tensor of length 5. The dilation factor for each dimension of `input`. If set to k \\\u003e 1, there will be k-1 skipped cells between each filter element on that dimension. The dimension order is determined by the value of `data_format`, see above for details. Dilations in the batch and depth dimensions must be 1.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The output tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [Conv3DBackpropInputV2](#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1aaae19e097fea9d7fc6f815e20faaccd6)`(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_sizes, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` filter, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` out_backprop, const gtl::ArraySlice\u003c int \u003e & strides, StringPiece padding)` ||\n| [Conv3DBackpropInputV2](#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1a5c69778ddcd70862d70f7d3630d179c3)`(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_sizes, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` filter, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` out_backprop, const gtl::ArraySlice\u003c int \u003e & strides, StringPiece padding, const `[Conv3DBackpropInputV2::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/conv3-d-backprop-input-v2/attrs#structtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1a67a6ca650c6870d418f1fdd658f3fa6b) | [Operation](/versions/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1af0d983aaf022b911e25e9f0615b62c20) | `::`[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_conv3_d_backprop_input_v2_1adb36b7921921ed6c8a2684a8df5cc0ae)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1a0c617c40ac75a3540b1280f1e02147ed)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1a8b8868a10a3fac1cb6623b75a7bd556d)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [DataFormat](#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1a5a0f9e531569a6645dc6eb72894476c5)`(StringPiece x)` | [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/conv3-d-backprop-input-v2/attrs#structtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1_1_attrs) |\n| [Dilations](#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1a7c96359abb43990fc21d1cf52f468a1b)`(const gtl::ArraySlice\u003c int \u003e & x)` | [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/conv3-d-backprop-input-v2/attrs#structtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1_1_attrs) |\n\n| ### Structs ||\n|-----------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::Conv3DBackpropInputV2::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/conv3-d-backprop-input-v2/attrs) | Optional attribute setters for [Conv3DBackpropInputV2](/versions/r2.3/api_docs/cc/class/tensorflow/ops/conv3-d-backprop-input-v2#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2). |\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### Conv3DBackpropInputV2\n\n```gdscript\n Conv3DBackpropInputV2(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input_sizes,\n ::tensorflow::Input filter,\n ::tensorflow::Input out_backprop,\n const gtl::ArraySlice\u003c int \u003e & strides,\n StringPiece padding\n)\n``` \n\n### Conv3DBackpropInputV2\n\n```gdscript\n Conv3DBackpropInputV2(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input_sizes,\n ::tensorflow::Input filter,\n ::tensorflow::Input out_backprop,\n const gtl::ArraySlice\u003c int \u003e & strides,\n StringPiece padding,\n const Conv3DBackpropInputV2::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``` \n\n### Dilations\n\n```gdscript\nAttrs Dilations(\n const gtl::ArraySlice\u003c int \u003e & x\n)\n```"]]