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aliran tensor:: operasi:: Akumulator Bersyarat Jarang
#include <data_flow_ops.h>
Akumulator bersyarat untuk menggabungkan gradien renggang.
Ringkasan
Akumulator menerima gradien yang ditandai dengan langkah_lokal lebih besar atau sama dengan langkah_global terbaru yang diketahui oleh akumulator. Rata-rata dapat diambil dari akumulator, asalkan gradien yang cukup telah terakumulasi. Mengekstraksi rata-rata secara otomatis menyetel ulang agregat ke 0, dan menambah global_step yang dicatat oleh akumulator.
Argumen:
- ruang lingkup: Objek Lingkup
- dtype: Jenis nilai yang diakumulasikan.
- bentuk: Bentuk nilai.
Atribut opsional (lihat Attrs
):
- wadah: Jika tidak kosong, akumulator ini ditempatkan di wadah yang ditentukan. Jika tidak, wadah default akan digunakan.
- shared_name: Jika tidak kosong, akumulator ini akan dibagikan dengan nama tertentu di beberapa sesi.
Pengembalian:
-
Output
: Pegangan ke akumulator.
Atribut publik
Fungsi publik
Akumulator Bersyarat Jarang
SparseConditionalAccumulator(
const ::tensorflow::Scope & scope,
DataType dtype,
PartialTensorShape shape
)
simpul
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Keluaran
operator::tensorflow::Output() const
Fungsi statis publik
Wadah
Attrs Container(
StringPiece x
)
Tipe Pengurangan
Attrs ReductionType(
StringPiece x
)
Nama Bersama
Attrs SharedName(
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 2025-07-27 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-27 UTC."],[],[],null,["# tensorflow::ops::SparseConditionalAccumulator Class Reference\n\ntensorflow::ops::SparseConditionalAccumulator\n=============================================\n\n`#include \u003cdata_flow_ops.h\u003e`\n\nA conditional accumulator for aggregating sparse gradients.\n\nSummary\n-------\n\nThe accumulator accepts gradients marked with local_step greater or equal to the most recent global_step known to the accumulator. The average can be extracted from the accumulator, provided sufficient gradients have been accumulated. Extracting the average automatically resets the aggregate to 0, and increments the global_step recorded by the accumulator.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- dtype: The type of the value being accumulated.\n- shape: The shape of the values.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/sparse-conditional-accumulator/attrs#structtensorflow_1_1ops_1_1_sparse_conditional_accumulator_1_1_attrs)):\n\n- container: If non-empty, this accumulator is placed in the given container. Otherwise, a default container is used.\n- shared_name: If non-empty, this accumulator will be shared under the given name across multiple sessions.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The handle to the accumulator.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [SparseConditionalAccumulator](#classtensorflow_1_1ops_1_1_sparse_conditional_accumulator_1a4133d47c6e15c4a9aeefec18ecdcec8e)`(const ::`[tensorflow::Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, DataType dtype, PartialTensorShape shape)` ||\n| [SparseConditionalAccumulator](#classtensorflow_1_1ops_1_1_sparse_conditional_accumulator_1accae7d9bc21410b017b23f3274a9bb5c)`(const ::`[tensorflow::Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, DataType dtype, PartialTensorShape shape, const `[SparseConditionalAccumulator::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/sparse-conditional-accumulator/attrs#structtensorflow_1_1ops_1_1_sparse_conditional_accumulator_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [handle](#classtensorflow_1_1ops_1_1_sparse_conditional_accumulator_1ae254a334398940972605109db3c7954d) | `::`[tensorflow::Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_sparse_conditional_accumulator_1ad8d5c853cb09f54c21878ddca9b9f600) | [Operation](/versions/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n\n| ### Public functions ||\n|------------------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_sparse_conditional_accumulator_1aba524ddfd366dcef3f9dd99bcb7b5c7d)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_sparse_conditional_accumulator_1a5e355e5910304b5edd44ef6a51abd472)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_sparse_conditional_accumulator_1a39a61597615354b5d7b73dd9a23cdc8b)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|---------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Container](#classtensorflow_1_1ops_1_1_sparse_conditional_accumulator_1a1600abd8fa3fea5d2d36ccd67de401c7)`(StringPiece x)` | [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/sparse-conditional-accumulator/attrs#structtensorflow_1_1ops_1_1_sparse_conditional_accumulator_1_1_attrs) |\n| [ReductionType](#classtensorflow_1_1ops_1_1_sparse_conditional_accumulator_1a280e4c1312be92c2d72875d9cbb6bb80)`(StringPiece x)` | [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/sparse-conditional-accumulator/attrs#structtensorflow_1_1ops_1_1_sparse_conditional_accumulator_1_1_attrs) |\n| [SharedName](#classtensorflow_1_1ops_1_1_sparse_conditional_accumulator_1aa7defbdbb0837b0af6dc7fb714603e50)`(StringPiece x)` | [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/sparse-conditional-accumulator/attrs#structtensorflow_1_1ops_1_1_sparse_conditional_accumulator_1_1_attrs) |\n\n| ### Structs ||\n|-----------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::SparseConditionalAccumulator::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/sparse-conditional-accumulator/attrs) | Optional attribute setters for [SparseConditionalAccumulator](/versions/r2.3/api_docs/cc/class/tensorflow/ops/sparse-conditional-accumulator#classtensorflow_1_1ops_1_1_sparse_conditional_accumulator). |\n\nPublic attributes\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### SparseConditionalAccumulator\n\n```gdscript\n SparseConditionalAccumulator(\n const ::tensorflow::Scope & scope,\n DataType dtype,\n PartialTensorShape shape\n)\n``` \n\n### SparseConditionalAccumulator\n\n```gdscript\n SparseConditionalAccumulator(\n const ::tensorflow::Scope & scope,\n DataType dtype,\n PartialTensorShape shape,\n const SparseConditionalAccumulator::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### Container\n\n```text\nAttrs Container(\n StringPiece x\n)\n``` \n\n### ReductionType\n\n```text\nAttrs ReductionType(\n StringPiece x\n)\n``` \n\n### SharedName\n\n```text\nAttrs SharedName(\n StringPiece x\n)\n```"]]