tensorflow:: אופס:: SparseReduceSum
#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() . בפרט, האופ הזה גם מחזיר Tensor צפוף במקום דליל.
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 | |
|---|---|
SparseReduceSum (const :: tensorflow::Scope & scope, :: tensorflow::Input input_indices, :: tensorflow::Input input_values, :: tensorflow::Input input_shape, :: tensorflow::Input reduction_axes) | |
SparseReduceSum (const :: tensorflow::Scope & scope, :: tensorflow::Input input_indices, :: tensorflow::Input input_values, :: tensorflow::Input input_shape, :: tensorflow::Input reduction_axes, const SparseReduceSum::Attrs & attrs) |
תכונות ציבוריות | |
|---|---|
operation | |
output | |
תפקידים ציבוריים | |
|---|---|
node () const | ::tensorflow::Node * |
operator::tensorflow::Input () const | |
operator::tensorflow::Output () const | |
פונקציות סטטיות ציבוריות | |
|---|---|
KeepDims (bool x) | |
מבנים | |
|---|---|
| tensorflow:: ops:: SparseReduceSum:: Attrs | קובעי תכונות אופציונליים עבור SparseReduceSum . |
תכונות ציבוריות
מִבצָע
Operation operation
תְפוּקָה
::tensorflow::Output output
תפקידים ציבוריים
SparseReduceSum
SparseReduceSum( const ::tensorflow::Scope & scope, ::tensorflow::Input input_indices, ::tensorflow::Input input_values, ::tensorflow::Input input_shape, ::tensorflow::Input reduction_axes )
SparseReduceSum
SparseReduceSum( const ::tensorflow::Scope & scope, ::tensorflow::Input input_indices, ::tensorflow::Input input_values, ::tensorflow::Input input_shape, ::tensorflow::Input reduction_axes, const SparseReduceSum::Attrs & attrs )
צוֹמֶת
::tensorflow::Node * node() const
מפעיל::tensorflow::קלט
operator::tensorflow::Input() const
אופרטור::tensorflow::פלט
operator::tensorflow::Output() const
פונקציות סטטיות ציבוריות
KeepDims
Attrs KeepDims( bool x )
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עדכון אחרון: 2025-07-25 (שעון UTC).
[null,null,["עדכון אחרון: 2025-07-25 (שעון UTC)."],[],[],null,["# tensorflow::ops::SparseReduceSum Class Reference\n\ntensorflow::ops::SparseReduceSum\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 particular, this Op also returns a dense [Tensor](/versions/r1.15/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/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/attrs#structtensorflow_1_1ops_1_1_sparse_reduce_sum_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): `R-K`-D. The reduced [Tensor](/versions/r1.15/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor).\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [SparseReduceSum](#classtensorflow_1_1ops_1_1_sparse_reduce_sum_1a31f677c3b19d0710fb02fab6474e8f18)`(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| [SparseReduceSum](#classtensorflow_1_1ops_1_1_sparse_reduce_sum_1a8d3151db2dd2eaf6a347aed70d3bb7ec)`(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 `[SparseReduceSum::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/sparse-reduce-sum/attrs#structtensorflow_1_1ops_1_1_sparse_reduce_sum_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_sparse_reduce_sum_1a4d9aa91a20be8c1e507dbbaf92bc5fee) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_sparse_reduce_sum_1a7e00bc9e8f78ba705bbdcb0c00ccafb4) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|-----------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_sparse_reduce_sum_1a61bca8cf985cd2ede755ad70f8a24159)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_sparse_reduce_sum_1a07a158d5f8094c296f78a42957ca9618)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_sparse_reduce_sum_1a49009e1c5d20e23d3069807f419177ac)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|--------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------|\n| [KeepDims](#classtensorflow_1_1ops_1_1_sparse_reduce_sum_1a673e06d6ba6fee5fe24fa8044a62ca1c)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/sparse-reduce-sum/attrs#structtensorflow_1_1ops_1_1_sparse_reduce_sum_1_1_attrs) |\n\n| ### Structs ||\n|----------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::SparseReduceSum::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/sparse-reduce-sum/attrs) | Optional attribute setters for [SparseReduceSum](/versions/r1.15/api_docs/cc/class/tensorflow/ops/sparse-reduce-sum#classtensorflow_1_1ops_1_1_sparse_reduce_sum). |\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### SparseReduceSum\n\n```gdscript\n SparseReduceSum(\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### SparseReduceSum\n\n```gdscript\n SparseReduceSum(\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 SparseReduceSum::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```"]]