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aliran tensor:: operasi:: Array Tensor
#include <data_flow_ops.h>
Serangkaian Tensor dengan ukuran tertentu.
Ringkasan
Tulis data melalui Tulis dan baca melalui Baca atau Kemas.
Argumen:
- ruang lingkup: Objek Lingkup
- size : Ukuran array.
- dtype: Jenis elemen pada tensor_array.
Atribut opsional (lihat Attrs
):
- element_shape: Bentuk elemen yang diharapkan, jika diketahui. Digunakan untuk memvalidasi bentuk elemen TensorArray . Jika bentuk ini tidak sepenuhnya ditentukan, mengumpulkan TensorArrays berukuran nol adalah sebuah kesalahan.
- Dynamic_size: Boolean yang menentukan apakah penulisan ke TensorArray diperbolehkan untuk memperbesar ukuran. Secara default, hal ini tidak diperbolehkan.
- clear_after_read: Jika benar (default), Tensor di TensorArray dihapus setelah dibaca. Ini menonaktifkan beberapa semantik baca tetapi memungkinkan pelepasan memori lebih awal.
- identik_element_shapes: Jika benar (defaultnya salah), maka semua elemen di TensorArray diharapkan memiliki bentuk yang identik. Hal ini memungkinkan perilaku tertentu, seperti memeriksa secara dinamis bentuk yang konsisten saat ditulis, dan mampu mengisi tensor nol dengan bentuk yang benar pada tumpukan meskipun atribut element_shape tidak sepenuhnya ditentukan.
- tensor_array_name: Mengganti nama yang digunakan untuk sumber daya tensor_array sementara. Nilai defaultnya adalah nama operasi ' TensorArray ' (yang dijamin unik).
Pengembalian:
Atribut publik
Fungsi publik
Fungsi statis publik
HapusSetelahBaca
Attrs ClearAfterRead(
bool x
)
Ukuran Dinamis
Attrs DynamicSize(
bool x
)
Bentuk Elemen
Attrs ElementShape(
PartialTensorShape x
)
Bentuk Elemen Identik
Attrs IdenticalElementShapes(
bool x
)
NamaArray Tensor
Attrs TensorArrayName(
StringPiece x
)
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,["# tensorflow::ops::TensorArray Class Reference\n\ntensorflow::ops::TensorArray\n============================\n\n`#include \u003cdata_flow_ops.h\u003e`\n\nAn array of Tensors of given size.\n\nSummary\n-------\n\nWrite data via Write and read via Read or Pack.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- size: The size of the array.\n- dtype: The type of the elements on the tensor_array.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/tensor-array/attrs#structtensorflow_1_1ops_1_1_tensor_array_1_1_attrs)):\n\n- element_shape: The expected shape of an element, if known. Used to validate the shapes of [TensorArray](/versions/r2.0/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array) elements. If this shape is not fully specified, gathering zero-size TensorArrays is an error.\n- dynamic_size: A boolean that determines whether writes to the [TensorArray](/versions/r2.0/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array) are allowed to grow the size. By default, this is not allowed.\n- clear_after_read: If true (default), Tensors in the [TensorArray](/versions/r2.0/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array) are cleared after being read. This disables multiple read semantics but allows early release of memory.\n- identical_element_shapes: If true (default is false), then all elements in the [TensorArray](/versions/r2.0/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array) will be expected to have have identical shapes. This allows certain behaviors, like dynamically checking for consistent shapes on write, and being able to fill in properly shaped zero tensors on stack even if the element_shape attribute is not fully defined.\n- tensor_array_name: Overrides the name used for the temporary tensor_array resource. Default value is the name of the '[TensorArray](/versions/r2.0/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array)' op (which is guaranteed unique).\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) handle: The handle to the [TensorArray](/versions/r2.0/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array).\n- [Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) flow: A scalar used to control gradient flow.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [TensorArray](#classtensorflow_1_1ops_1_1_tensor_array_1a17fb1bdb76e98f8c83ec1cf24af87f3d)`(const ::`[tensorflow::Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` size, DataType dtype)` ||\n| [TensorArray](#classtensorflow_1_1ops_1_1_tensor_array_1afede14d69c65d1efdc36f5ac00fc6351)`(const ::`[tensorflow::Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` size, DataType dtype, const `[TensorArray::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/tensor-array/attrs#structtensorflow_1_1ops_1_1_tensor_array_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [flow](#classtensorflow_1_1ops_1_1_tensor_array_1ac6f0c80567abf77dbae5528ef5257c3c) | `::`[tensorflow::Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [handle](#classtensorflow_1_1ops_1_1_tensor_array_1a238401c92769f36d04f2f3b2db163fdf) | `::`[tensorflow::Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_tensor_array_1a1b6149ac5da344ccb1561eefc5b0b25a) | [Operation](/versions/r2.0/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n\n| ### Public static functions ||\n|---------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------|\n| [ClearAfterRead](#classtensorflow_1_1ops_1_1_tensor_array_1ada85e1cd0c0611935f275655748441b6)`(bool x)` | [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/tensor-array/attrs#structtensorflow_1_1ops_1_1_tensor_array_1_1_attrs) |\n| [DynamicSize](#classtensorflow_1_1ops_1_1_tensor_array_1a3022cd4fccb5d056d0e670d51ad424b4)`(bool x)` | [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/tensor-array/attrs#structtensorflow_1_1ops_1_1_tensor_array_1_1_attrs) |\n| [ElementShape](#classtensorflow_1_1ops_1_1_tensor_array_1a4d87fc9eee4243549ee11e45bb697ba9)`(PartialTensorShape x)` | [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/tensor-array/attrs#structtensorflow_1_1ops_1_1_tensor_array_1_1_attrs) |\n| [IdenticalElementShapes](#classtensorflow_1_1ops_1_1_tensor_array_1a6e6597bdcb607f327ba2047f3dafa449)`(bool x)` | [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/tensor-array/attrs#structtensorflow_1_1ops_1_1_tensor_array_1_1_attrs) |\n| [TensorArrayName](#classtensorflow_1_1ops_1_1_tensor_array_1a26c71247662a164badad7ad3004f3409)`(StringPiece x)` | [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/tensor-array/attrs#structtensorflow_1_1ops_1_1_tensor_array_1_1_attrs) |\n\n| ### Structs ||\n|------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::TensorArray::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/tensor-array/attrs) | Optional attribute setters for [TensorArray](/versions/r2.0/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array). |\n\nPublic attributes\n-----------------\n\n### flow\n\n```text\n::tensorflow::Output flow\n``` \n\n### handle\n\n```text\n::tensorflow::Output handle\n``` \n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### TensorArray\n\n```gdscript\n TensorArray(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input size,\n DataType dtype\n)\n``` \n\n### TensorArray\n\n```gdscript\n TensorArray(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input size,\n DataType dtype,\n const TensorArray::Attrs & attrs\n)\n``` \n\nPublic static functions\n-----------------------\n\n### ClearAfterRead\n\n```text\nAttrs ClearAfterRead(\n bool x\n)\n``` \n\n### DynamicSize\n\n```text\nAttrs DynamicSize(\n bool x\n)\n``` \n\n### ElementShape\n\n```text\nAttrs ElementShape(\n PartialTensorShape x\n)\n``` \n\n### IdenticalElementShapes\n\n```text\nAttrs IdenticalElementShapes(\n bool x\n)\n``` \n\n### TensorArrayName\n\n```text\nAttrs TensorArrayName(\n StringPiece x\n)\n```"]]