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#include <nn_ops.h> Conv2DBackpropInput için isteğe bağlı öznitelik ayarlayıcılar.
Özet
Kamu işlevleri |
|---|
DataFormat (StringPiece x) | Giriş ve çıkış verilerinin veri formatını belirtin. |
Dilations (const gtl::ArraySlice< int > & x) | 1-D uzunluk tensörü 4. |
ExplicitPaddings (const gtl::ArraySlice< int > & x) | padding "EXPLICIT" ise, açık dolgu miktarlarının listesi. |
UseCudnnOnGpu (bool x) | Varsayılan olarak true'dur. |
Genel özellikler
Kamu işlevleri
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Son güncelleme tarihi: 2025-07-25 UTC.
[null,null,["Son güncelleme tarihi: 2025-07-25 UTC."],[],[],null,["# tensorflow::ops::Conv2DBackpropInput::Attrs Struct Reference\n\ntensorflow::ops::Conv2DBackpropInput::Attrs\n===========================================\n\n`#include \u003cnn_ops.h\u003e`\n\nOptional attribute setters for [Conv2DBackpropInput](/versions/r2.0/api_docs/cc/class/tensorflow/ops/conv2-d-backprop-input#classtensorflow_1_1ops_1_1_conv2_d_backprop_input).\n\nSummary\n-------\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------------------------------------------------------|--------------------------|\n| [data_format_](#structtensorflow_1_1ops_1_1_conv2_d_backprop_input_1_1_attrs_1a0c1c7f7d2cbf215df9dc979b0fc2f1b2)` = \"NHWC\"` | `StringPiece` |\n| [dilations_](#structtensorflow_1_1ops_1_1_conv2_d_backprop_input_1_1_attrs_1ae1d90c85a264053bf6ace3e7c8998ee3)` = Default_dilations()` | `gtl::ArraySlice\u003c int \u003e` |\n| [explicit_paddings_](#structtensorflow_1_1ops_1_1_conv2_d_backprop_input_1_1_attrs_1a56d59dc45e96f03d6289660936e4f78a)` = {}` | `gtl::ArraySlice\u003c int \u003e` |\n| [use_cudnn_on_gpu_](#structtensorflow_1_1ops_1_1_conv2_d_backprop_input_1_1_attrs_1aeda7580c5db6f5c41aa8c2e447e5cc66)` = true` | `bool` |\n\n| ### Public functions ||\n|----------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [DataFormat](#structtensorflow_1_1ops_1_1_conv2_d_backprop_input_1_1_attrs_1a6c39cb6a5daf9fab2fe4861667e94c8c)`(StringPiece x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/conv2-d-backprop-input/attrs#structtensorflow_1_1ops_1_1_conv2_d_backprop_input_1_1_attrs) Specify the data format of the input and output data. |\n| [Dilations](#structtensorflow_1_1ops_1_1_conv2_d_backprop_input_1_1_attrs_1a46e0bc68887b3aa0ab727f45de1e2a1b)`(const gtl::ArraySlice\u003c int \u003e & x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/conv2-d-backprop-input/attrs#structtensorflow_1_1ops_1_1_conv2_d_backprop_input_1_1_attrs) 1-D tensor of length 4. |\n| [ExplicitPaddings](#structtensorflow_1_1ops_1_1_conv2_d_backprop_input_1_1_attrs_1a4b187401b5a1bd9344fb0e8a9b7a2363)`(const gtl::ArraySlice\u003c int \u003e & x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/conv2-d-backprop-input/attrs#structtensorflow_1_1ops_1_1_conv2_d_backprop_input_1_1_attrs) If `padding` is `\"EXPLICIT\"`, the list of explicit padding amounts. |\n| [UseCudnnOnGpu](#structtensorflow_1_1ops_1_1_conv2_d_backprop_input_1_1_attrs_1a7aff147907d16ee4db66d8e6a6782cf0)`(bool x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/conv2-d-backprop-input/attrs#structtensorflow_1_1ops_1_1_conv2_d_backprop_input_1_1_attrs) Defaults to true. |\n\nPublic attributes\n-----------------\n\n### data_format_\n\n```scdoc\nStringPiece tensorflow::ops::Conv2DBackpropInput::Attrs::data_format_ = \"NHWC\"\n``` \n\n### dilations_\n\n```scdoc\ngtl::ArraySlice\u003c int \u003e tensorflow::ops::Conv2DBackpropInput::Attrs::dilations_ = Default_dilations()\n``` \n\n### explicit_paddings_\n\n```scdoc\ngtl::ArraySlice\u003c int \u003e tensorflow::ops::Conv2DBackpropInput::Attrs::explicit_paddings_ = {}\n``` \n\n### use_cudnn_on_gpu_\n\n```scdoc\nbool tensorflow::ops::Conv2DBackpropInput::Attrs::use_cudnn_on_gpu_ = true\n``` \n\nPublic functions\n----------------\n\n### DataFormat\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::Conv2DBackpropInput::Attrs::DataFormat(\n StringPiece x\n)\n``` \nSpecify the data format of the input and output data.\n\nWith 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\nDefaults to \"NHWC\" \n\n### Dilations\n\n```gdscript\nTF_MUST_USE_RESULT Attrs tensorflow::ops::Conv2DBackpropInput::Attrs::Dilations(\n const gtl::ArraySlice\u003c int \u003e & x\n)\n``` \n1-D tensor of length 4.\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\\] \n\n### ExplicitPaddings\n\n```gdscript\nTF_MUST_USE_RESULT Attrs tensorflow::ops::Conv2DBackpropInput::Attrs::ExplicitPaddings(\n const gtl::ArraySlice\u003c int \u003e & x\n)\n``` \nIf `padding` is `\"EXPLICIT\"`, the list of explicit padding amounts.\n\nFor the ith dimension, the amount of padding inserted before and after the dimension is `explicit_paddings[2 * i]` and `explicit_paddings[2 * i + 1]`, respectively. If `padding` is not `\"EXPLICIT\"`, `explicit_paddings` must be empty.\n\nDefaults to \\[\\] \n\n### UseCudnnOnGpu\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::Conv2DBackpropInput::Attrs::UseCudnnOnGpu(\n bool x\n)\n``` \nDefaults to true."]]
