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텐서플로우:: 작전:: 누산기테이크그라디언트
#include <data_flow_ops.h> 주어진 ConditionalAccumulator 에서 평균 기울기를 추출합니다.
요약
충분한(즉, num_required보다 많은) 기울기가 누적될 때까지 op가 차단됩니다. 누산기가 이미 num_required보다 많은 기울기를 집계한 경우 누적된 기울기의 평균을 반환합니다. 또한 누산기에 기록된 global_step을 1씩 자동으로 증가시키고 집계를 0으로 재설정합니다.
인수:
- 범위: 범위 개체
- 핸들: 누산기에 대한 핸들입니다.
- num_required: 집계를 반환하기 전에 필요한 그라데이션 수입니다.
- dtype: 누적 기울기의 데이터 유형입니다. 어큐뮬레이터의 유형과 일치해야 합니다.
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: 2025-07-26(UTC)
[null,null,["최종 업데이트: 2025-07-26(UTC)"],[],[],null,["# tensorflow::ops::AccumulatorTakeGradient Class Reference\n\ntensorflow::ops::AccumulatorTakeGradient\n========================================\n\n`#include \u003cdata_flow_ops.h\u003e`\n\nExtracts the average gradient in the given [ConditionalAccumulator](/versions/r2.0/api_docs/cc/class/tensorflow/ops/conditional-accumulator#classtensorflow_1_1ops_1_1_conditional_accumulator).\n\nSummary\n-------\n\nThe op blocks until sufficient (i.e., more than num_required) gradients have been accumulated. If the accumulator has already aggregated more than num_required gradients, it returns the average of the accumulated gradients. Also automatically increments the recorded global_step in the accumulator by 1, and resets the aggregate to 0.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- handle: The handle to an accumulator.\n- num_required: Number of gradients required before we return an aggregate.\n- dtype: The data type of accumulated gradients. Needs to correspond to the type of the accumulator.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The average of the accumulated gradients.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [AccumulatorTakeGradient](#classtensorflow_1_1ops_1_1_accumulator_take_gradient_1aa27a3882d95f8195f213544f6fd29377)`(const ::`[tensorflow::Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` handle, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` num_required, DataType dtype)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [average](#classtensorflow_1_1ops_1_1_accumulator_take_gradient_1acc0ea8ac4a347e3dfdfc93275381e25b) | `::`[tensorflow::Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_accumulator_take_gradient_1a4ded4bd0ecb0059a992e4df09f133072) | [Operation](/versions/r2.0/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n\n| ### Public functions ||\n|-------------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_accumulator_take_gradient_1a45091b659ff109f115c9cd566637eee5)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_accumulator_take_gradient_1a86cb9d0b71e04162e4177239a36ca5dc)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_accumulator_take_gradient_1a9fd3cd7a27d7feb9205fc5e965479885)`() const ` | ` ` ` ` |\n\nPublic attributes\n-----------------\n\n### average\n\n```text\n::tensorflow::Output average\n``` \n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### AccumulatorTakeGradient\n\n```gdscript\n AccumulatorTakeGradient(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input handle,\n ::tensorflow::Input num_required,\n DataType dtype\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```"]]
