tensorflow:: אופס:: SparseReduceSumSparse
#include <sparse_ops.h>מחשב את סכום האלמנטים על פני ממדים של SparseTensor.
תַקצִיר
אופ זה לוקח SparseTensor והוא המקביל הדליל ל- tf.reduce_sum() . בניגוד ל- SparseReduceSum , אופ זה מחזיר SparseTensor.
מפחית sp_input לאורך הממדים הניתנים ב- reduction_axes . אלא אם כן keep_dims נכון, דרגת הטנזור מופחתת ב-1 עבור כל ערך ב- reduction_axes . אם keep_dims נכון, הממדים המופחתים נשמרים עם אורך 1.
אם reduction_axes אין ערכים, כל הממדים מצטמצמים ומוחזר טנזור עם אלמנט בודד. בנוסף, הצירים יכולים להיות שליליים, המתפרשים לפי כללי האינדקס ב-Python.
טיעונים:
- scope: אובייקט Scope
- input_indexes: 2-D. מטריצת
N x Rעם המדדים של ערכים לא ריקים ב-SparseTensor, אולי לא בסדר קנוני. - input_values: 1-D.
Nערכים לא ריקים התואמים ל-input_indices. - input_shape: 1-D. צורת הקלט SparseTensor.
- הפחתה_צירים: 1-D. Length-
Kוקטור המכיל את צירי ההפחתה.
מאפיינים אופציונליים (ראה Attrs ):
- keep_dims: אם נכון, שמור על מידות מופחתות עם אורך 1.
החזרות:
בנאים והורסים | |
|---|---|
SparseReduceSumSparse (const :: tensorflow::Scope & scope, :: tensorflow::Input input_indices, :: tensorflow::Input input_values, :: tensorflow::Input input_shape, :: tensorflow::Input reduction_axes) | |
SparseReduceSumSparse (const :: tensorflow::Scope & scope, :: tensorflow::Input input_indices, :: tensorflow::Input input_values, :: tensorflow::Input input_shape, :: tensorflow::Input reduction_axes, const SparseReduceSumSparse::Attrs & attrs) |
תכונות ציבוריות | |
|---|---|
operation | |
output_indices | |
output_shape | |
output_values | |
פונקציות סטטיות ציבוריות | |
|---|---|
KeepDims (bool x) | |
מבנים | |
|---|---|
| tensorflow:: ops:: SparseReduceSumSparse:: Attrs | קובעי תכונות אופציונליים עבור SparseReduceSumSparse . |
תכונות ציבוריות
מִבצָע
Operation operation
output_indexe
::tensorflow::Output output_indices
output_shape
::tensorflow::Output output_shape
output_values
::tensorflow::Output output_values
תפקידים ציבוריים
SparseReduceSumSparse
SparseReduceSumSparse( const ::tensorflow::Scope & scope, ::tensorflow::Input input_indices, ::tensorflow::Input input_values, ::tensorflow::Input input_shape, ::tensorflow::Input reduction_axes )
SparseReduceSumSparse
SparseReduceSumSparse( const ::tensorflow::Scope & scope, ::tensorflow::Input input_indices, ::tensorflow::Input input_values, ::tensorflow::Input input_shape, ::tensorflow::Input reduction_axes, const SparseReduceSumSparse::Attrs & attrs )
פונקציות סטטיות ציבוריות
KeepDims
Attrs KeepDims( bool x )
אלא אם צוין אחרת, התוכן של דף זה הוא ברישיון Creative Commons Attribution 4.0 ודוגמאות הקוד הן ברישיון Apache 2.0. לפרטים, ניתן לעיין במדיניות האתר Google Developers. Java הוא סימן מסחרי רשום של חברת Oracle ו/או של השותפים העצמאיים שלה.
עדכון אחרון: 2025-07-25 (שעון UTC).
[null,null,["עדכון אחרון: 2025-07-25 (שעון UTC)."],[],[],null,["# tensorflow::ops::SparseReduceSumSparse Class Reference\n\ntensorflow::ops::SparseReduceSumSparse\n======================================\n\n`#include \u003csparse_ops.h\u003e`\n\nComputes the sum of elements across dimensions of a SparseTensor.\n\nSummary\n-------\n\nThis Op takes a SparseTensor and is the sparse counterpart to `tf.reduce_sum()`. In contrast to [SparseReduceSum](/versions/r1.15/api_docs/cc/class/tensorflow/ops/sparse-reduce-sum#classtensorflow_1_1ops_1_1_sparse_reduce_sum), 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/r1.15/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/r1.15/api_docs/cc/struct/tensorflow/ops/sparse-reduce-sum-sparse/attrs#structtensorflow_1_1ops_1_1_sparse_reduce_sum_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/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) output_indices\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) output_values\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) output_shape\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [SparseReduceSumSparse](#classtensorflow_1_1ops_1_1_sparse_reduce_sum_sparse_1a6f708aa542de1f8a78354e33cd93ba1f)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input_indices, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input_values, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input_shape, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` reduction_axes)` ||\n| [SparseReduceSumSparse](#classtensorflow_1_1ops_1_1_sparse_reduce_sum_sparse_1a3993e307a94ec2d2689f821a60717e99)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input_indices, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input_values, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input_shape, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` reduction_axes, const `[SparseReduceSumSparse::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/sparse-reduce-sum-sparse/attrs#structtensorflow_1_1ops_1_1_sparse_reduce_sum_sparse_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_sparse_reduce_sum_sparse_1a163cffc8414946a47057a91af8be0e12) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output_indices](#classtensorflow_1_1ops_1_1_sparse_reduce_sum_sparse_1a2c546e86ac344ff2cc261c06aac187f4) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [output_shape](#classtensorflow_1_1ops_1_1_sparse_reduce_sum_sparse_1ad3c4282b03471d1e02bba7e17a46fca6) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [output_values](#classtensorflow_1_1ops_1_1_sparse_reduce_sum_sparse_1a19b2438eeddfcd3e79017ecb5de54318) | `::`[tensorflow::Output](/versions/r1.15/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_sum_sparse_1a8dbe087349a7dd3db345a7abd6752c3d)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/sparse-reduce-sum-sparse/attrs#structtensorflow_1_1ops_1_1_sparse_reduce_sum_sparse_1_1_attrs) |\n\n| ### Structs ||\n|-----------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::SparseReduceSumSparse::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/sparse-reduce-sum-sparse/attrs) | Optional attribute setters for [SparseReduceSumSparse](/versions/r1.15/api_docs/cc/class/tensorflow/ops/sparse-reduce-sum-sparse#classtensorflow_1_1ops_1_1_sparse_reduce_sum_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### SparseReduceSumSparse\n\n```gdscript\n SparseReduceSumSparse(\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### SparseReduceSumSparse\n\n```gdscript\n SparseReduceSumSparse(\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 SparseReduceSumSparse::Attrs & attrs\n)\n``` \n\nPublic static functions\n-----------------------\n\n### KeepDims\n\n```text\nAttrs KeepDims(\n bool x\n)\n```"]]