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tensor akışı:: işlem:: SparseReduceMaxSparse
#include <sparse_ops.h> Bir SparseTensor'un boyutları boyunca maksimum öğe sayısını hesaplar.
Özet
Bu Op bir SparseTensor alır ve tf.reduce_max() işlevinin seyrek karşılığıdır. SparseReduceMax'ın aksine, bu Op bir SparseTensor döndürür.
reduction_axes verilen boyutlar boyunca sp_input azaltır. keep_dims doğru olmadığı sürece tensörün sırası, reduction_axes içindeki her giriş için 1 azaltılır. keep_dims doğruysa küçültülmüş boyutlar uzunluk 1 ile korunur.
reduction_axes hiçbir girişi yoksa, tüm boyutlar azaltılır ve tek öğeli bir tensör döndürülür. Ek olarak eksenler negatif olabilir ve bunlar Python'daki indeksleme kurallarına göre yorumlanır.
Argümanlar:
- kapsam: Bir Kapsam nesnesi
- girdi_indeksleri: 2-B. Bir SparseTensor'da boş olmayan değerlerin indekslerini içeren
N x R matrisi, muhtemelen kanonik sıralamada değildir. - giriş_değerleri: 1-D.
input_indices öğesine karşılık gelen N boş olmayan değer. - giriş_şekli: 1-D. SparseTensor girişinin şekli.
- redüksiyon_eksenleri: 1-D. İndirgeme eksenlerini içeren uzunluk-
K vektörü.
İsteğe bağlı özellikler (bkz. Attrs ):
- keep_dims: Doğruysa, uzunluğu 1 olan azaltılmış boyutları koruyun.
İade:
Genel özellikler
Kamu işlevleri
Genel statik işlevler
KeepDims
Attrs KeepDims(
bool 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: 2025-07-27 UTC.
[null,null,["Son güncelleme tarihi: 2025-07-27 UTC."],[],[],null,["# tensorflow::ops::SparseReduceMaxSparse Class Reference\n\ntensorflow::ops::SparseReduceMaxSparse\n======================================\n\n`#include \u003csparse_ops.h\u003e`\n\nComputes the max of elements across dimensions of a SparseTensor.\n\nSummary\n-------\n\nThis Op takes a SparseTensor and is the sparse counterpart to `tf.reduce_max()`. In contrast to [SparseReduceMax](/versions/r2.3/api_docs/cc/class/tensorflow/ops/sparse-reduce-max#classtensorflow_1_1ops_1_1_sparse_reduce_max), this Op returns a SparseTensor.\n\nReduces `sp_input` along the dimensions given in `reduction_axes`. Unless `keep_dims` is true, the rank of the tensor is reduced by 1 for each entry in `reduction_axes`. If `keep_dims` is true, the reduced dimensions are retained with length 1.\n\nIf `reduction_axes` has no entries, all dimensions are reduced, and a tensor with a single element is returned. Additionally, the axes can be negative, which are interpreted according to the indexing rules in Python.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- input_indices: 2-D. `N x R` matrix with the indices of non-empty values in a SparseTensor, possibly not in canonical ordering.\n- input_values: 1-D. `N` non-empty values corresponding to `input_indices`.\n- input_shape: 1-D. Shape of the input SparseTensor.\n- reduction_axes: 1-D. Length-`K` vector containing the reduction axes.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/sparse-reduce-max-sparse/attrs#structtensorflow_1_1ops_1_1_sparse_reduce_max_sparse_1_1_attrs)):\n\n- keep_dims: If true, retain reduced dimensions with length 1.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) output_indices\n- [Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) output_values\n- [Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) output_shape\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [SparseReduceMaxSparse](#classtensorflow_1_1ops_1_1_sparse_reduce_max_sparse_1ae40de34c616688e6749e3d54974d7419)`(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)` input_indices, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input_values, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input_shape, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` reduction_axes)` ||\n| [SparseReduceMaxSparse](#classtensorflow_1_1ops_1_1_sparse_reduce_max_sparse_1af854c14b3b0fa34f774983ea8a52a416)`(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)` input_indices, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input_values, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input_shape, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` reduction_axes, const `[SparseReduceMaxSparse::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/sparse-reduce-max-sparse/attrs#structtensorflow_1_1ops_1_1_sparse_reduce_max_sparse_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_sparse_reduce_max_sparse_1aa6cec252b1244bc6accbfdc68ffbc161) | [Operation](/versions/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output_indices](#classtensorflow_1_1ops_1_1_sparse_reduce_max_sparse_1a2135d88c64b5f47d76d060420eb7b3a8) | `::`[tensorflow::Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [output_shape](#classtensorflow_1_1ops_1_1_sparse_reduce_max_sparse_1a7ad897b2ce5a45a370c12f6f3c6209c3) | `::`[tensorflow::Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [output_values](#classtensorflow_1_1ops_1_1_sparse_reduce_max_sparse_1a2717637e81e732d547f2d1071c69b29f) | `::`[tensorflow::Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public static functions ||\n|---------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [KeepDims](#classtensorflow_1_1ops_1_1_sparse_reduce_max_sparse_1a89cffc8d5e0c99499f3404400168d979)`(bool x)` | [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/sparse-reduce-max-sparse/attrs#structtensorflow_1_1ops_1_1_sparse_reduce_max_sparse_1_1_attrs) |\n\n| ### Structs ||\n|----------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::SparseReduceMaxSparse::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/sparse-reduce-max-sparse/attrs) | Optional attribute setters for [SparseReduceMaxSparse](/versions/r2.3/api_docs/cc/class/tensorflow/ops/sparse-reduce-max-sparse#classtensorflow_1_1ops_1_1_sparse_reduce_max_sparse). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### output_indices\n\n```scdoc\n::tensorflow::Output output_indices\n``` \n\n### output_shape\n\n```scdoc\n::tensorflow::Output output_shape\n``` \n\n### output_values\n\n```scdoc\n::tensorflow::Output output_values\n``` \n\nPublic functions\n----------------\n\n### SparseReduceMaxSparse\n\n```gdscript\n SparseReduceMaxSparse(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input_indices,\n ::tensorflow::Input input_values,\n ::tensorflow::Input input_shape,\n ::tensorflow::Input reduction_axes\n)\n``` \n\n### SparseReduceMaxSparse\n\n```gdscript\n SparseReduceMaxSparse(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input_indices,\n ::tensorflow::Input input_values,\n ::tensorflow::Input input_shape,\n ::tensorflow::Input reduction_axes,\n const SparseReduceMaxSparse::Attrs & attrs\n)\n``` \n\nPublic static functions\n-----------------------\n\n### KeepDims\n\n```text\nAttrs KeepDims(\n bool x\n)\n```"]]
