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#include <nn_ops.h>
Mengembalikan indeks dimensi dalam format data tujuan sesuai dengan yang ada di dalamnya.
Ringkasan
format data sumber.
Argumen:
- ruang lingkup: Objek Lingkup
- x: Tensor dengan setiap elemen sebagai indeks dimensi dalam format data sumber. Harus berada dalam kisaran [-4, 4).
Atribut opsional (lihat Attrs
):
- src_format: format data sumber.
- dst_format : format data tujuan.
Pengembalian:
-
Output
: Tensor dengan setiap elemen sebagai indeks dimensi dalam format data tujuan.
Atribut publik
Fungsi publik
Fungsi statis publik
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-07-27 UTC.
[null,null,["Terakhir diperbarui pada 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```"]]