Koleksiyonlar ile düzeninizi koruyun
İçeriği tercihlerinize göre kaydedin ve kategorilere ayırın.
#include <nn_ops.h>
Belirtilen hedef veri biçimindeki boyut dizinini döndürür.
Özet
kaynak veri formatı.
Argümanlar:
- kapsam: Bir Kapsam nesnesi
- x: Her öğenin kaynak veri formatında boyut dizini olduğu bir Tensör . [-4, 4) aralığında olmalıdır.
İsteğe bağlı özellikler (bkz. Attrs
):
- src_format: kaynak veri formatı.
- dst_format: hedef veri formatı.
İade:
-
Output
: Hedef veri formatında her öğenin boyut dizini olduğu bir Tensör .
Genel özellikler
Kamu işlevleri
Genel statik işlevler
Aksi belirtilmediği sürece bu sayfanın içeriği Creative Commons Atıf 4.0 Lisansı altında ve kod örnekleri Apache 2.0 Lisansı altında lisanslanmıştır. Ayrıntılı bilgi için Google Developers Site Politikaları'na göz atın. Java, Oracle ve/veya satış ortaklarının tescilli ticari markasıdır.
Son güncelleme tarihi: 2025-07-27 UTC.
[null,null,["Son güncelleme tarihi: 2025-07-27 UTC."],[],[],null,["# tensorflow::ops::DataFormatDimMap Class Reference\n\ntensorflow::ops::DataFormatDimMap\n=================================\n\n`#include \u003cnn_ops.h\u003e`\n\nReturns the dimension index in the destination data format given the one in.\n\nSummary\n-------\n\nthe source data format.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- x: A [Tensor](/versions/r2.2/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) with each element as a dimension index in source data format. Must be in the range \\[-4, 4).\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/data-format-dim-map/attrs#structtensorflow_1_1ops_1_1_data_format_dim_map_1_1_attrs)):\n\n- src_format: source data format.\n- dst_format: destination data format.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): A [Tensor](/versions/r2.2/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) with each element as a dimension index in destination data format.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [DataFormatDimMap](#classtensorflow_1_1ops_1_1_data_format_dim_map_1a940ff2efc55cc98716eff22bd5169e62)`(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)` x)` ||\n| [DataFormatDimMap](#classtensorflow_1_1ops_1_1_data_format_dim_map_1a777da26710837763c75921455aba5ddc)`(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)` x, const `[DataFormatDimMap::Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/data-format-dim-map/attrs#structtensorflow_1_1ops_1_1_data_format_dim_map_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_data_format_dim_map_1a35705e5ab8f763439369ba015fe6e6dd) | [Operation](/versions/r2.2/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [y](#classtensorflow_1_1ops_1_1_data_format_dim_map_1a238392a1475522186dd4349a086e7616) | `::`[tensorflow::Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|-------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_data_format_dim_map_1a7e7cb21492d0b95b81e81c35c464a2f7)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_data_format_dim_map_1a9f826ae3e4dcfde21a0f3d0be8f6dd7d)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_data_format_dim_map_1a4952830e7df82cbaf6d8cae075938f89)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------|\n| [DstFormat](#classtensorflow_1_1ops_1_1_data_format_dim_map_1a5df6304afeba4726500529df347ea2f5)`(StringPiece x)` | [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/data-format-dim-map/attrs#structtensorflow_1_1ops_1_1_data_format_dim_map_1_1_attrs) |\n| [SrcFormat](#classtensorflow_1_1ops_1_1_data_format_dim_map_1a7a5893b6eea8561444a973fc16dd7bd6)`(StringPiece x)` | [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/data-format-dim-map/attrs#structtensorflow_1_1ops_1_1_data_format_dim_map_1_1_attrs) |\n\n| ### Structs ||\n|------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::DataFormatDimMap::Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/data-format-dim-map/attrs) | Optional attribute setters for [DataFormatDimMap](/versions/r2.2/api_docs/cc/class/tensorflow/ops/data-format-dim-map#classtensorflow_1_1ops_1_1_data_format_dim_map). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### y\n\n```text\n::tensorflow::Output y\n``` \n\nPublic functions\n----------------\n\n### DataFormatDimMap\n\n```gdscript\n DataFormatDimMap(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input x\n)\n``` \n\n### DataFormatDimMap\n\n```gdscript\n DataFormatDimMap(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input x,\n const DataFormatDimMap::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### DstFormat\n\n```text\nAttrs DstFormat(\n StringPiece x\n)\n``` \n\n### SrcFormat\n\n```text\nAttrs SrcFormat(\n StringPiece x\n)\n```"]]