컬렉션을 사용해 정리하기
내 환경설정을 기준으로 콘텐츠를 저장하고 분류하세요.
텐서플로우:: 작전:: FakeQuantWithMinMaxArgsGradient
#include <array_ops.h>
FakeQuantWithMinMaxArgs 작업에 대한 기울기를 계산합니다.
요약
인수:
보고:
공개 속성
공공 기능
마디
::tensorflow::Node * node() const
operator::tensorflow::Input() const
연산자::텐서플로우::출력
operator::tensorflow::Output() const
공개 정적 함수
좁은 범위
Attrs NarrowRange(
bool x
)
NumBits
Attrs NumBits(
int64 x
)
달리 명시되지 않는 한 이 페이지의 콘텐츠에는 Creative Commons Attribution 4.0 라이선스에 따라 라이선스가 부여되며, 코드 샘플에는 Apache 2.0 라이선스에 따라 라이선스가 부여됩니다. 자세한 내용은 Google Developers 사이트 정책을 참조하세요. 자바는 Oracle 및/또는 Oracle 계열사의 등록 상표입니다.
최종 업데이트: 2025-07-25(UTC)
[null,null,["최종 업데이트: 2025-07-25(UTC)"],[],[],null,["# tensorflow::ops::FakeQuantWithMinMaxArgsGradient Class Reference\n\ntensorflow::ops::FakeQuantWithMinMaxArgsGradient\n================================================\n\n`#include \u003carray_ops.h\u003e`\n\nCompute gradients for a [FakeQuantWithMinMaxArgs](/versions/r2.1/api_docs/cc/class/tensorflow/ops/fake-quant-with-min-max-args#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args) operation.\n\nSummary\n-------\n\nArguments:\n\n- scope: A [Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- gradients: Backpropagated gradients above the [FakeQuantWithMinMaxArgs](/versions/r2.1/api_docs/cc/class/tensorflow/ops/fake-quant-with-min-max-args#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args) operation.\n- inputs: Values passed as inputs to the [FakeQuantWithMinMaxArgs](/versions/r2.1/api_docs/cc/class/tensorflow/ops/fake-quant-with-min-max-args#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args) operation.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): Backpropagated gradients below the [FakeQuantWithMinMaxArgs](/versions/r2.1/api_docs/cc/class/tensorflow/ops/fake-quant-with-min-max-args#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args) operation: `gradients * (inputs \u003e= min && inputs \u003c= max)`.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [FakeQuantWithMinMaxArgsGradient](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1aa93814dc39884eabcb7795a3a660dd41)`(const ::`[tensorflow::Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` gradients, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` inputs)` ||\n| [FakeQuantWithMinMaxArgsGradient](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1ada606f99c6ddc3dd650ef87b1c703a4a)`(const ::`[tensorflow::Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` gradients, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` inputs, const `[FakeQuantWithMinMaxArgsGradient::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-args-gradient/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [backprops](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1aabc243ded217d2349720a4b4057391ab) | `::`[tensorflow::Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1ae30d5d38310d4c2cc419c75f36a3f1a8) | [Operation](/versions/r2.1/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n\n| ### Public functions ||\n|-------------------------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1a14762cf991900719bc977361bde0e42a)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1aea7cfc96d8cd1b69e0851a9d28a94b48)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1a34f721af665c6914f264d535be4c6e75)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Max](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1a7f931daaa8cc9bde8743dba94990dbb6)`(float x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-args-gradient/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1_1_attrs) |\n| [Min](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1a369524b2414fbb328ecdc511ae07068b)`(float x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-args-gradient/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1_1_attrs) |\n| [NarrowRange](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1aa933d377485c32f11d17f43477f4d172)`(bool x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-args-gradient/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1_1_attrs) |\n| [NumBits](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1ad43d3560340fe56c700b8e10999ccef3)`(int64 x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-args-gradient/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient_1_1_attrs) |\n\n| ### Structs ||\n|---------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::FakeQuantWithMinMaxArgsGradient::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-args-gradient/attrs) | Optional attribute setters for [FakeQuantWithMinMaxArgsGradient](/versions/r2.1/api_docs/cc/class/tensorflow/ops/fake-quant-with-min-max-args-gradient#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_gradient). |\n\nPublic attributes\n-----------------\n\n### backprops\n\n```text\n::tensorflow::Output backprops\n``` \n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### FakeQuantWithMinMaxArgsGradient\n\n```gdscript\n FakeQuantWithMinMaxArgsGradient(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input gradients,\n ::tensorflow::Input inputs\n)\n``` \n\n### FakeQuantWithMinMaxArgsGradient\n\n```gdscript\n FakeQuantWithMinMaxArgsGradient(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input gradients,\n ::tensorflow::Input inputs,\n const FakeQuantWithMinMaxArgsGradient::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### Max\n\n```text\nAttrs Max(\n float x\n)\n``` \n\n### Min\n\n```text\nAttrs Min(\n float x\n)\n``` \n\n### NarrowRange\n\n```text\nAttrs NarrowRange(\n bool x\n)\n``` \n\n### NumBits\n\n```text\nAttrs NumBits(\n int64 x\n)\n```"]]