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Çekirdek Tensorflow API'si
Özet
Tip tanımları |
|---|
OutputList | typedef std::vector< Output > Birden fazla çıktı üreten op'ların çıktısını veya tensör listesini temsil eden bir tür. |
Tip tanımları
Çıkış Listesi
std::vector< Output > OutputList
Birden fazla çıktı üreten op'ların çıktısını veya tensör listesini temsil eden bir tür.
Fonksiyonlar
CreateOutputWithScope
Status CreateOutputWithScope(
string op_name,
absl::Span< const ::tensorflow::Input > inputs,
const Scope & scope,
Output *output
)
operatör<<
std::ostream & operator<<(
std::ostream & os,
const Status & x
)
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Son güncelleme tarihi: 2025-07-26 UTC.
[null,null,["Son güncelleme tarihi: 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/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` \u003e inputs, const Scope & scope, Output *output)` | `Status` |\n| [operator\u003c\u003c](#group__core_1gab11ba3b5186118ae745aa50ee43a759f)`(std::ostream & os, const Status & x)` | `std::ostream &` |\n\n| ### Classes ||\n|------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ClientSession](/versions/r1.15/api_docs/cc/class/tensorflow/client-session) | A [ClientSession](/versions/r1.15/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/r1.15/api_docs/cc/class/tensorflow/input) | Represents a tensor value that can be used as an operand to an [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation). |\n| [tensorflow::InputList](/versions/r1.15/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/r1.15/api_docs/cc/class/tensorflow/operation) | Represents a node in the computation graph. |\n| [tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output) | Represents a tensor value produced by an [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation). |\n| [tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope) | A [Scope](/versions/r1.15/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::Status](/versions/r1.15/api_docs/cc/class/tensorflow/status) | Denotes success or failure of a call in Tensorflow. |\n| [tensorflow::TensorBuffer](/versions/r1.15/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``` \n\n### operator\\\u003c\\\u003c\n\n```gdscript\nstd::ostream & operator\u003c\u003c(\n std::ostream & os,\n const Status & x\n)\n```"]]
