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#include <nn_ops.h> Conv3DBackpropInputV2 için isteğe bağlı öznitelik ayarlayıcılar.
Özet
Kamu işlevleri |
|---|
DataFormat (StringPiece x) | Giriş ve çıkış verilerinin veri formatı. |
Dilations (const gtl::ArraySlice< int > & x) | Uzunluk 5'in 1 boyutlu tensörü. |
Genel özellikler
Kamu işlevleri
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Son güncelleme tarihi: 2025-07-27 UTC.
[null,null,["Son güncelleme tarihi: 2025-07-27 UTC."],[],[],null,["# tensorflow::ops::Conv3DBackpropInputV2::Attrs Struct Reference\n\ntensorflow::ops::Conv3DBackpropInputV2::Attrs\n=============================================\n\n`#include \u003cnn_ops.h\u003e`\n\nOptional attribute setters for [Conv3DBackpropInputV2](/versions/r2.2/api_docs/cc/class/tensorflow/ops/conv3-d-backprop-input-v2#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2).\n\nSummary\n-------\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------------------------------------------------------|--------------------------|\n| [data_format_](#structtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1_1_attrs_1a8d95a755c2f08dff2053f4b5d47c24e7)` = \"NDHWC\"` | `StringPiece` |\n| [dilations_](#structtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1_1_attrs_1a970614d4b21cae7f373eb5d541996777)` = Default_dilations()` | `gtl::ArraySlice\u003c int \u003e` |\n\n| ### Public functions ||\n|------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [DataFormat](#structtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1_1_attrs_1a651034446294b318eb1278578f55c888)`(StringPiece x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r2.2/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) The data format of the input and output data. |\n| [Dilations](#structtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1_1_attrs_1a77ecbe76279fe0ae9c9fc9c8211a5981)`(const gtl::ArraySlice\u003c int \u003e & x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r2.2/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) 1-D tensor of length 5. |\n\nPublic attributes\n-----------------\n\n### data_format_\n\n```scdoc\nStringPiece tensorflow::ops::Conv3DBackpropInputV2::Attrs::data_format_ = \"NDHWC\"\n``` \n\n### dilations_\n\n```scdoc\ngtl::ArraySlice\u003c int \u003e tensorflow::ops::Conv3DBackpropInputV2::Attrs::dilations_ = Default_dilations()\n``` \n\nPublic functions\n----------------\n\n### DataFormat\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::Conv3DBackpropInputV2::Attrs::DataFormat(\n StringPiece x\n)\n``` \nThe data format of the input and output data.\n\nWith 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\nDefaults to \"NDHWC\" \n\n### Dilations\n\n```gdscript\nTF_MUST_USE_RESULT Attrs tensorflow::ops::Conv3DBackpropInputV2::Attrs::Dilations(\n const gtl::ArraySlice\u003c int \u003e & x\n)\n``` \n1-D tensor of length 5.\n\nThe 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\nDefaults to \\[1, 1, 1, 1, 1\\]"]]
