Koleksiyonlar ile düzeninizi koruyun
İçeriği tercihlerinize göre kaydedin ve kategorilere ayırın.
tensor akışı:: işlem:: V2'yi topla #include <array_ops.h> indices göre params eksen axis dilimler toplayın .
Özet indices herhangi bir boyutta (genellikle 0-D veya 1-D) bir tamsayı tensörü olmalıdır. Shape params.shape[:axis] + indices.shape + params.shape[axis + 1:] ile bir çıktı tensörü üretir; burada:
# Scalar indices (output is rank(params) - 1).
output[a_0, ..., a_n, b_0, ..., b_n] =
params[a_0, ..., a_n, indices, b_0, ..., b_n]
# Vector indices ( output is rank ( params )).
output [ a_0, ..., a_n, i, b_0, ..., b_n ] =
params [ a_0, ..., a_n, indices[i ] , b_0 , ..., b_n ]
# Higher rank indices (output is rank(params) + rank(indices) - 1).
output[a_0, ..., a_n, i, ..., j, b_0, ... b_n] =
params[a_0, ..., a_n, indices[i, ..., j], b_0, ..., b_n]
CPU'da sınır dışı bir dizin bulunursa bir hata döndürüleceğini unutmayın. GPU'da, sınırların dışında bir dizin bulunursa karşılık gelen çıkış değerinde 0 saklanır.
Ayrıca bkz. tf.batch_gather ve tf.gather_nd .
Argümanlar:
kapsam: Bir Kapsam nesnesi params: Değerlerin toplanacağı tensör. En azından sıra axis + 1 olmalıdır. endeksler: Endeks tensörü. [0, params.shape[axis]) aralığında olmalıdır. eksen: params indices toplanacağı eksen. Varsayılan olarak ilk boyuta ayarlanır. Negatif indeksleri destekler. İade:
Output params.shape[:axis] + indices.shape + params.shape[axis + 1:] ile indices tarafından verilen indekslerden toplanan params elde edilen değerler. Genel özellikler Kamu işlevleri düğüm
:: tensorflow :: Node * node () const
operator :: tensorflow :: Input () const
operatör::tensorflow::Çıktı
operator :: tensorflow :: Output () const
Genel statik işlevler Toplu Karartmalar
Attrs BatchDims(
int64 x
)
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Son güncelleme tarihi: 2025-07-26 UTC.
[null,null,["Son güncelleme tarihi: 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::GatherV2 Class Reference\n\ntensorflow::ops::GatherV2\n=========================\n\n`#include \u003carray_ops.h\u003e`\n\n[Gather](/versions/r2.1/api_docs/cc/class/tensorflow/ops/gather#classtensorflow_1_1ops_1_1_gather) slices from `params` axis `axis` according to `indices`.\n\nSummary\n-------\n\n`indices` must be an integer tensor of any dimension (usually 0-D or 1-D). Produces an output tensor with shape `params.shape[:axis] + indices.shape + params.shape[axis + 1:]` where:\n\n\n```scdoc\n # Scalar indices (output is rank(params) - 1).\n output[a_0, ..., a_n, b_0, ..., b_n] =\n params[a_0, ..., a_n, indices, b_0, ..., b_n]\n```\n\n\u003cbr /\u003e\n\n\n```transact-sql\n # Vector indices (output is rank(params)).\n output[a_0, ..., a_n, i, b_0, ..., b_n] =\n params[a_0, ..., a_n, indices[i], b_0, ..., b_n]\n```\n\n\u003cbr /\u003e\n\n\n```scdoc\n # Higher rank indices (output is rank(params) + rank(indices) - 1).\n output[a_0, ..., a_n, i, ..., j, b_0, ... b_n] =\n params[a_0, ..., a_n, indices[i, ..., j], b_0, ..., b_n]\n```\n\n\u003cbr /\u003e\n\n\n\u003cbr /\u003e\n\nNote that on CPU, if an out of bound index is found, an error is returned. On GPU, if an out of bound index is found, a 0 is stored in the corresponding output value.\n\nSee also `tf.batch_gather` and `tf.gather_nd`.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- params: The tensor from which to gather values. Must be at least rank `axis + 1`.\n- indices: Index tensor. Must be in range `[0, params.shape[axis])`.\n- axis: The axis in `params` to gather `indices` from. Defaults to the first dimension. Supports negative indexes.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): Values from `params` gathered from indices given by `indices`, with shape `params.shape[:axis] + indices.shape + params.shape[axis + 1:]`.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [GatherV2](#classtensorflow_1_1ops_1_1_gather_v2_1afff9f85abc36b6134f07ac9264e6b6b7)`(const ::`[tensorflow::Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` params, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` axis)` ||\n| [GatherV2](#classtensorflow_1_1ops_1_1_gather_v2_1a8f8e2e0c5f4693b13f8a2c747ff77d8b)`(const ::`[tensorflow::Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` params, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` axis, const `[GatherV2::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/gather-v2/attrs#structtensorflow_1_1ops_1_1_gather_v2_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|---------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_gather_v2_1acada34664fa1ed40763d7823796966d3) | [Operation](/versions/r2.1/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_gather_v2_1a8d4dd95b0f18afade1621c680ecdac1a) | `::`[tensorflow::Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|---------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_gather_v2_1abc465824a7b865f5bdfa41eb624a1bb7)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_gather_v2_1a967966fdcae665e9578c3e9512e18b4c)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_gather_v2_1a5f58668891b9a0ae4a460fe84c7b4d5c)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|--------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------|\n| [BatchDims](#classtensorflow_1_1ops_1_1_gather_v2_1a96a2555cae1e27560651b09777fece7c)`(int64 x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/gather-v2/attrs#structtensorflow_1_1ops_1_1_gather_v2_1_1_attrs) |\n\n| ### Structs ||\n|------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::GatherV2::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/gather-v2/attrs) | Optional attribute setters for [GatherV2](/versions/r2.1/api_docs/cc/class/tensorflow/ops/gather-v2#classtensorflow_1_1ops_1_1_gather_v2). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### output\n\n```text\n::tensorflow::Output output\n``` \n\nPublic functions\n----------------\n\n### GatherV2\n\n```gdscript\n GatherV2(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input params,\n ::tensorflow::Input indices,\n ::tensorflow::Input axis\n)\n``` \n\n### GatherV2\n\n```gdscript\n GatherV2(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input params,\n ::tensorflow::Input indices,\n ::tensorflow::Input axis,\n const GatherV2::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### BatchDims\n\n```text\nAttrs BatchDims(\n int64 x\n)\n```"]]
