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aliran tensor:: operasi:: TensorArrayBaca
#include <data_flow_ops.h> Membaca elemen dari TensorArray menjadi value keluaran.
Ringkasan
Argumen:
- ruang lingkup: Objek Lingkup
- handle: Pegangan untuk TensorArray .
- flow_in: Skalar float yang menerapkan rangkaian operasi yang tepat.
- dtype: Jenis elemen yang dikembalikan.
Pengembalian:
Atribut publik
Fungsi publik
simpul
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Keluaran
operator::tensorflow::Output() const
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Terakhir diperbarui pada 2025-07-27 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-27 UTC."],[],[],null,["# tensorflow::ops::TensorArrayRead Class Reference\n\ntensorflow::ops::TensorArrayRead\n================================\n\n`#include \u003cdata_flow_ops.h\u003e`\n\nRead an element from the [TensorArray](/versions/r2.3/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array) into output `value`.\n\nSummary\n-------\n\nArguments:\n\n- scope: A [Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- handle: The handle to a [TensorArray](/versions/r2.3/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array).\n- flow_in: A float scalar that enforces proper chaining of operations.\n- dtype: The type of the elem that is returned.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The tensor that is read from the [TensorArray](/versions/r2.3/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array).\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [TensorArrayRead](#classtensorflow_1_1ops_1_1_tensor_array_read_1a26e7ba60509d23e4d4d195b93a9c3f5a)`(const ::`[tensorflow::Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` handle, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` index, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` flow_in, DataType dtype)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_tensor_array_read_1a7112b6b89fbb3e0c537d278b009ed05f) | [Operation](/versions/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [value](#classtensorflow_1_1ops_1_1_tensor_array_read_1a305497dfad1df9182c6a3909cc76d3a3) | `::`[tensorflow::Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|-----------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_tensor_array_read_1ace4670accbff377b307fc1c371979f26)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_tensor_array_read_1a75072de1b69985d0c110c4b679f1db63)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_tensor_array_read_1af52ff2572ce57e72dc01a14ec537b034)`() const ` | ` ` ` ` |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### value\n\n```text\n::tensorflow::Output value\n``` \n\nPublic functions\n----------------\n\n### TensorArrayRead\n\n```gdscript\n TensorArrayRead(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input handle,\n ::tensorflow::Input index,\n ::tensorflow::Input flow_in,\n DataType dtype\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```"]]
