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tensor akışı:: işlem:: Tensör DizisiTopla
#include <data_flow_ops.h>
TensorArray'den belirli öğeleri çıkış value
toplayın .
Özet
indices
tarafından seçilen tüm öğeler aynı şekle sahip olmalıdır.
Argümanlar:
- kapsam: Bir Kapsam nesnesi
- tanıtıcı: TensorArray'in tanıtıcısı.
- indeksler: TensorArray'de tensör elemanlarının okunacağı konumlar.
- flow_in: İşlemlerin uygun şekilde zincirlenmesini zorlayan kayan noktalı bir skaler.
- dtype: Döndürülen öğenin türü.
İsteğe bağlı özellikler (bkz. Attrs
):
- element_shape: Eğer biliniyorsa, bir elementin beklenen şekli. TensorArray öğelerinin şekillerini doğrulamak için kullanılır. Bu şekil tam olarak belirtilmemişse sıfır boyutlu TensorArray'lerin toplanması bir hatadır.
İade:
Genel özellikler
Kamu işlevleri
düğüm
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operatör::tensorflow::Çıktı
operator::tensorflow::Output() const
Genel statik işlevler
Eleman Şekli
Attrs ElementShape(
PartialTensorShape x
)
Aksi belirtilmediği sürece bu sayfanın içeriği Creative Commons Atıf 4.0 Lisansı altında ve kod örnekleri Apache 2.0 Lisansı altında lisanslanmıştır. Ayrıntılı bilgi için Google Developers Site Politikaları'na göz atın. Java, Oracle ve/veya satış ortaklarının tescilli ticari markasıdır.
Son güncelleme tarihi: 2025-07-26 UTC.
[null,null,["Son güncelleme tarihi: 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::TensorArrayGather Class Reference\n\ntensorflow::ops::TensorArrayGather\n==================================\n\n`#include \u003cdata_flow_ops.h\u003e`\n\n[Gather](/versions/r2.0/api_docs/cc/class/tensorflow/ops/gather#classtensorflow_1_1ops_1_1_gather) specific elements from the [TensorArray](/versions/r2.0/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array) into output `value`.\n\nSummary\n-------\n\n[All](/versions/r2.0/api_docs/cc/class/tensorflow/ops/all#classtensorflow_1_1ops_1_1_all) elements selected by `indices` must have the same shape.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- handle: The handle to a [TensorArray](/versions/r2.0/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array).\n- indices: The locations in the [TensorArray](/versions/r2.0/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array) from which to read tensor elements.\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\nOptional attributes (see [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/tensor-array-gather/attrs#structtensorflow_1_1ops_1_1_tensor_array_gather_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\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): [All](/versions/r2.0/api_docs/cc/class/tensorflow/ops/all#classtensorflow_1_1ops_1_1_all) of the elements in the [TensorArray](/versions/r2.0/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array), concatenated along a new axis (the new dimension 0).\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [TensorArrayGather](#classtensorflow_1_1ops_1_1_tensor_array_gather_1a217eb2eb8236b837dd4c47f33e149eb5)`(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)` handle, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` flow_in, DataType dtype)` ||\n| [TensorArrayGather](#classtensorflow_1_1ops_1_1_tensor_array_gather_1acaf1d9394750550499a9d32ab5b6be2c)`(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)` handle, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` flow_in, DataType dtype, const `[TensorArrayGather::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/tensor-array-gather/attrs#structtensorflow_1_1ops_1_1_tensor_array_gather_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_tensor_array_gather_1a18cd26c5207c30afc37dc106c73c0862) | [Operation](/versions/r2.0/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [value](#classtensorflow_1_1ops_1_1_tensor_array_gather_1a2df8cf3f750a2eed7cb36b35f8f0ad1f) | `::`[tensorflow::Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|-------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_tensor_array_gather_1af03efcbaca9f1f8165d39cbf23acd99f)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_tensor_array_gather_1a4c95465b1cb37303cc4b7e3dad7ad411)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_tensor_array_gather_1a1d089d1cb6fab2fda60d0fe8b086e91d)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|----------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------|\n| [ElementShape](#classtensorflow_1_1ops_1_1_tensor_array_gather_1ad1d8054cb6b334d7903bda4be71a8ade)`(PartialTensorShape x)` | [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/tensor-array-gather/attrs#structtensorflow_1_1ops_1_1_tensor_array_gather_1_1_attrs) |\n\n| ### Structs ||\n|-------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::TensorArrayGather::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/tensor-array-gather/attrs) | Optional attribute setters for [TensorArrayGather](/versions/r2.0/api_docs/cc/class/tensorflow/ops/tensor-array-gather#classtensorflow_1_1ops_1_1_tensor_array_gather). |\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### TensorArrayGather\n\n```gdscript\n TensorArrayGather(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input handle,\n ::tensorflow::Input indices,\n ::tensorflow::Input flow_in,\n DataType dtype\n)\n``` \n\n### TensorArrayGather\n\n```gdscript\n TensorArrayGather(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input handle,\n ::tensorflow::Input indices,\n ::tensorflow::Input flow_in,\n DataType dtype,\n const TensorArrayGather::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### ElementShape\n\n```text\nAttrs ElementShape(\n PartialTensorShape x\n)\n```"]]