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aliran tensor:: operasi:: SparseReduceMax
#include <sparse_ops.h> Menghitung jumlah maksimum elemen di seluruh dimensi SparseTensor.
Ringkasan
Operasi ini menggunakan SparseTensor dan merupakan mitra sparse dari tf.reduce_max() . Secara khusus, Operasi ini juga mengembalikan Tensor yang padat, bukan Tensor yang jarang.
Mengurangi sp_input sepanjang dimensi yang diberikan dalam reduction_axes . Kecuali jika keep_dims benar, peringkat tensor dikurangi 1 untuk setiap entri di reduction_axes . Jika keep_dims benar, dimensi yang dikurangi akan dipertahankan dengan panjang 1.
Jika reduction_axes tidak memiliki entri, semua dimensi dikurangi, dan tensor dengan satu elemen dikembalikan. Selain itu, sumbunya bisa negatif, yang diinterpretasikan sesuai dengan aturan pengindeksan dengan Python.
Argumen:
- ruang lingkup: Objek Lingkup
- masukan_indeks: 2-D. Matriks
N x R dengan indeks nilai tidak kosong dalam SparseTensor, mungkin tidak dalam urutan kanonik. - nilai_masukan: 1-D.
N nilai tidak kosong yang sesuai dengan input_indices . - bentuk_masukan: 1-D. Bentuk masukan SparseTensor.
- pengurangan_axes: 1-D. Panjangnya- vektor
K yang memuat sumbu reduksi.
Atribut opsional (lihat Attrs ):
- keep_dims: Jika benar, pertahankan dimensi yang diperkecil dengan panjang 1.
Pengembalian:
Atribut publik
Fungsi publik
simpul
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Keluaran
operator::tensorflow::Output() const
Fungsi statis publik
Pertahankan Redup
Attrs KeepDims(
bool x
)
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Terakhir diperbarui pada 2025-07-27 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-27 UTC."],[],[],null,["# tensorflow::ops::SparseReduceMax Class Reference\n\ntensorflow::ops::SparseReduceMax\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 particular, this Op also returns a dense [Tensor](/versions/r2.3/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) instead of a sparse one.\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/attrs#structtensorflow_1_1ops_1_1_sparse_reduce_max_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): `R-K`-D. The reduced [Tensor](/versions/r2.3/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor).\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [SparseReduceMax](#classtensorflow_1_1ops_1_1_sparse_reduce_max_1aeae496cfc74e42b24882c7d5148b23e0)`(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| [SparseReduceMax](#classtensorflow_1_1ops_1_1_sparse_reduce_max_1a451a0e2215cd3d4e69813f5405ae454f)`(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 `[SparseReduceMax::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/sparse-reduce-max/attrs#structtensorflow_1_1ops_1_1_sparse_reduce_max_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_sparse_reduce_max_1a90126f27d38e5eddd6614a6f5330b139) | [Operation](/versions/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_sparse_reduce_max_1ada3c0765be81f44a13f068c10a43cb34) | `::`[tensorflow::Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|-----------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_sparse_reduce_max_1a886a875c7b1cfc9b2f69ce45239582c3)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_sparse_reduce_max_1a99bf4a11aed55ac04ed9aadfe5f3c8f9)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_sparse_reduce_max_1a6687bcf1dca9bdb8019f8fcf46c00a17)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|--------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------|\n| [KeepDims](#classtensorflow_1_1ops_1_1_sparse_reduce_max_1adc6b4f1a804b4ca85bc40b2a677288ae)`(bool x)` | [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/sparse-reduce-max/attrs#structtensorflow_1_1ops_1_1_sparse_reduce_max_1_1_attrs) |\n\n| ### Structs ||\n|---------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::SparseReduceMax::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/sparse-reduce-max/attrs) | Optional attribute setters for [SparseReduceMax](/versions/r2.3/api_docs/cc/class/tensorflow/ops/sparse-reduce-max#classtensorflow_1_1ops_1_1_sparse_reduce_max). |\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### SparseReduceMax\n\n```gdscript\n SparseReduceMax(\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### SparseReduceMax\n\n```gdscript\n SparseReduceMax(\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 SparseReduceMax::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### KeepDims\n\n```text\nAttrs KeepDims(\n bool x\n)\n```"]]
