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텐서플로우:: 작전:: SparseSegmentMeanGrad
#include <math_ops.h>
SparseSegmentMean 에 대한 기울기를 계산합니다.
요약
값이 output_dim0인 차원 0을 제외하고 grad와 동일한 모양의 텐서 "출력"을 반환합니다.
인수:
보고:
공개 속성
공공 기능
마디
::tensorflow::Node * node() const
operator::tensorflow::Input() const
연산자::텐서플로우::출력
operator::tensorflow::Output() const
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최종 업데이트: 2025-07-27(UTC)
[null,null,["최종 업데이트: 2025-07-27(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/r2.3/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/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- grad: gradient propagated to the [SparseSegmentMean](/versions/r2.3/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/r2.3/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/r2.3/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/r2.3/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/r2.3/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/r2.3/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)` grad, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` segment_ids, ::`[tensorflow::Input](/versions/r2.3/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/r2.3/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/r2.3/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```"]]