tensorflow:: אופס:: SparseSegmentMeanGrad
#include <math_ops.h>מחשב גרדיאנטים עבור SparseSegmentMean .
תַקצִיר
מחזירה טנסור "פלט" עם צורה זהה ל-grad, למעט ממד 0 שהערך שלו הוא output_dim0.
טיעונים:
- scope: אובייקט Scope
- grad: שיפוע מופץ לאופציה SparseSegmentMean .
- מדדים: מדדים שהועברו לאופציה המקבילה SparseSegmentMean .
- segment_ids: segment_ids הועברו לאופציה התואמת SparseSegmentMean .
- output_dim0: ממד 0 של "נתונים" הועבר ל- SparseSegmentMean op.
החזרות:
-
Output: טנסור הפלט.
בנאים והורסים | |
|---|---|
SparseSegmentMeanGrad (const :: tensorflow::Scope & scope, :: tensorflow::Input grad, :: tensorflow::Input indices, :: tensorflow::Input segment_ids, :: tensorflow::Input output_dim0) |
תכונות ציבוריות | |
|---|---|
operation | |
output | |
תפקידים ציבוריים | |
|---|---|
node () const | ::tensorflow::Node * |
operator::tensorflow::Input () const | |
operator::tensorflow::Output () const | |
תכונות ציבוריות
מִבצָע
Operation operation
תְפוּקָה
::tensorflow::Output output
תפקידים ציבוריים
SparseSegmentMeanGrad
SparseSegmentMeanGrad( const ::tensorflow::Scope & scope, ::tensorflow::Input grad, ::tensorflow::Input indices, ::tensorflow::Input segment_ids, ::tensorflow::Input output_dim0 )
צוֹמֶת
::tensorflow::Node * node() const
מפעיל::tensorflow::קלט
operator::tensorflow::Input() const
אופרטור::tensorflow::פלט
operator::tensorflow::Output() const
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: 2025-07-26 (שעון UTC).
[null,null,["עדכון אחרון: 2025-07-26 (שעון UTC)."],[],[],null,["# tensorflow::ops::SparseSegmentMeanGrad Class Reference\n\ntensorflow::ops::SparseSegmentMeanGrad\n======================================\n\n`#include \u003cmath_ops.h\u003e`\n\nComputes gradients for [SparseSegmentMean](/versions/r2.2/api_docs/cc/class/tensorflow/ops/sparse-segment-mean#classtensorflow_1_1ops_1_1_sparse_segment_mean).\n\nSummary\n-------\n\nReturns tensor \"output\" with same shape as grad, except for dimension 0 whose value is output_dim0.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- grad: gradient propagated to the [SparseSegmentMean](/versions/r2.2/api_docs/cc/class/tensorflow/ops/sparse-segment-mean#classtensorflow_1_1ops_1_1_sparse_segment_mean) op.\n- indices: indices passed to the corresponding [SparseSegmentMean](/versions/r2.2/api_docs/cc/class/tensorflow/ops/sparse-segment-mean#classtensorflow_1_1ops_1_1_sparse_segment_mean) op.\n- segment_ids: segment_ids passed to the corresponding [SparseSegmentMean](/versions/r2.2/api_docs/cc/class/tensorflow/ops/sparse-segment-mean#classtensorflow_1_1ops_1_1_sparse_segment_mean) op.\n- output_dim0: dimension 0 of \"data\" passed to [SparseSegmentMean](/versions/r2.2/api_docs/cc/class/tensorflow/ops/sparse-segment-mean#classtensorflow_1_1ops_1_1_sparse_segment_mean) op.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The output tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [SparseSegmentMeanGrad](#classtensorflow_1_1ops_1_1_sparse_segment_mean_grad_1a724e6fb571c6a87201d2ebaedea31c75)`(const ::`[tensorflow::Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` segment_ids, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` output_dim0)` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_sparse_segment_mean_grad_1a1b19a2a8b235c50a0b0ee9083e403840) | [Operation](/versions/r2.2/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_sparse_segment_mean_grad_1a613157f9b34acb9b3716eaf9a236c0ae) | `::`[tensorflow::Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|------------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_sparse_segment_mean_grad_1ad41fa0ddb89eea23700617f29726a908)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_sparse_segment_mean_grad_1a1845b498b15b73eadeb3d0f616238363)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_sparse_segment_mean_grad_1a7b68a6f6710687a2e2a2bcc5c6976bed)`() const ` | ` ` ` ` |\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### SparseSegmentMeanGrad\n\n```gdscript\n SparseSegmentMeanGrad(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input grad,\n ::tensorflow::Input indices,\n ::tensorflow::Input segment_ids,\n ::tensorflow::Input output_dim0\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```"]]