Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
API Tensorflow Inti
Ringkasan
Typedef |
---|
OutputList | typedef std::vector< Output > Tipe untuk mewakili keluaran operasi yang menghasilkan lebih dari satu keluaran, atau daftar tensor. |
Typedef
Daftar Keluaran
std::vector< Output > OutputList
Tipe untuk mewakili keluaran operasi yang menghasilkan lebih dari satu keluaran, atau daftar tensor.
Fungsi
BuatOutputWithScope
Status CreateOutputWithScope(
string op_name,
absl::Span< const ::tensorflow::Input > inputs,
const Scope & scope,
Output *output
)
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 2025-07-26 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-26 UTC."],[],[],null,["# Core Tensorflow API\n===================\n\nSummary\n-------\n\n| ### Typedefs ||\n|----------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------|\n| [OutputList](#group__core_1gab449e6a3abd500c2f4ea93f9e89ba96c) | typedef `std::vector\u003c Output \u003e` A type for representing the output of ops that produce more than one output, or a list of tensors. |\n\n| ### Functions ||\n|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------|\n| [CreateOutputWithScope](#group__core_1gaef88caf2b9d160822f9641a621dbb5c4)`(string op_name, absl::Span\u003c const ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` \u003e inputs, const Scope & scope, Output *output)` | `Status` |\n\n| ### Classes ||\n|-----------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ClientSession](/versions/r2.3/api_docs/cc/class/tensorflow/client-session) | A [ClientSession](/versions/r2.3/api_docs/cc/class/tensorflow/client-session#classtensorflow_1_1_client_session) object lets the caller drive the evaluation of the TensorFlow graph constructed with the C++ API. |\n| [tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input) | Represents a tensor value that can be used as an operand to an [Operation](/versions/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation). |\n| [tensorflow::InputList](/versions/r2.3/api_docs/cc/class/tensorflow/input-list) | A type for representing the input to ops that require a list of tensors. |\n| [tensorflow::Operation](/versions/r2.3/api_docs/cc/class/tensorflow/operation) | Represents a node in the computation graph. |\n| [tensorflow::Output](/versions/r2.3/api_docs/cc/class/tensorflow/output) | Represents a tensor value produced by an [Operation](/versions/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation). |\n| [tensorflow::Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope) | A [Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object represents a set of related TensorFlow ops that have the same properties such as a common name prefix. |\n| [tensorflow::TensorBuffer](/versions/r2.3/api_docs/cc/class/tensorflow/tensor-buffer) | |\n\nTypedefs\n--------\n\n### OutputList\n\n```text\nstd::vector\u003c Output \u003e OutputList\n``` \nA type for representing the output of ops that produce more than one output, or a list of tensors.\n\nFunctions\n---------\n\n### CreateOutputWithScope\n\n```gdscript\nStatus CreateOutputWithScope(\n string op_name,\n absl::Span\u003c const ::tensorflow::Input \u003e inputs,\n const Scope & scope,\n Output *output\n)\n```"]]