InfeedEnqueue
컬렉션을 사용해 정리하기
내 환경설정을 기준으로 콘텐츠를 저장하고 분류하세요.
단일 Tensor 값을 계산에 제공하는 연산입니다.
상수
끈 | OP_NAME | TensorFlow 핵심 엔진에서 알려진 이 작업의 이름 |
상속된 메서드
java.lang.Object 클래스에서 부울 | 같음 (개체 arg0) |
마지막 수업<?> | getClass () |
정수 | 해시 코드 () |
최종 무효 | 알림 () |
최종 무효 | 통지모두 () |
끈 | toString () |
최종 무효 | 대기 (long arg0, int arg1) |
최종 무효 | 기다리세요 (긴 arg0) |
최종 무효 | 기다리다 () |
상수
공개 정적 최종 문자열 OP_NAME
TensorFlow 핵심 엔진에서 알려진 이 작업의 이름
상수 값: "InfeedEnqueue"
공개 방법
새로운 InfeedEnqueue 작업을 래핑하는 클래스를 생성하는 팩토리 메서드입니다.
매개변수
범위 | 현재 범위 |
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입력 | 인피드 메커니즘을 사용하여 제공되는 텐서입니다. |
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옵션 | 선택적 속성 값을 전달합니다. |
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매개변수
장치서수 | 사용할 TPU 기기입니다. Op가 TPU 기기에서 실행 중인 경우 -1이어야 하고, Op가 CPU 기기에서 실행 중인 경우 >= 0이어야 합니다. |
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매개변수
공들여 나열한 것 | 요청된 레이아웃을 마이너에서 메이저 순서로 보유하는 벡터입니다. 레이아웃 속성이 전달되었지만 해당 값이 모두 -1인 경우 레이아웃은 인피드 작업에 의해 계산됩니다. |
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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: 2025-07-26(UTC)
[null,null,["최종 업데이트: 2025-07-26(UTC)"],[],[],null,["# InfeedEnqueue\n\npublic final class **InfeedEnqueue** \nAn op which feeds a single Tensor value into the computation. \n\n### Nested Classes\n\n|-------|---|---|-------------------------------------------------------------------------------------------------|\n| class | [InfeedEnqueue.Options](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueue.Options) || Optional attributes for [InfeedEnqueue](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueue) |\n\n### Constants\n\n|--------|---------------------------------------------------------------------------|---------------------------------------------------------|\n| String | [OP_NAME](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueue#OP_NAME) | The name of this op, as known by TensorFlow core engine |\n\n### Public Methods\n\n|------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| static [InfeedEnqueue](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueue) | [create](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueue#create(org.tensorflow.op.Scope, org.tensorflow.Operand\u003c? extends org.tensorflow.types.family.TType\u003e, org.tensorflow.op.tpu.InfeedEnqueue.Options...))([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c? extends [TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e input, [Options...](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueue.Options) options) Factory method to create a class wrapping a new InfeedEnqueue operation. |\n| static [InfeedEnqueue.Options](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueue.Options) | [deviceOrdinal](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueue#deviceOrdinal(java.lang.Long))(Long deviceOrdinal) |\n| static [InfeedEnqueue.Options](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueue.Options) | [layout](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueue#layout(java.util.List\u003cjava.lang.Long\u003e))(List\\\u003cLong\\\u003e layout) |\n| static [InfeedEnqueue.Options](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueue.Options) | [shape](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueue#shape(org.tensorflow.ndarray.Shape))([Shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shape) shape) |\n\n### Inherited Methods\n\nFrom class [org.tensorflow.op.RawOp](/jvm/api_docs/java/org/tensorflow/op/RawOp) \n\n|----------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| final boolean | [equals](/jvm/api_docs/java/org/tensorflow/op/RawOp#equals(java.lang.Object))(Object obj) |\n| final int | [hashCode](/jvm/api_docs/java/org/tensorflow/op/RawOp#hashCode())() |\n| [Operation](/jvm/api_docs/java/org/tensorflow/Operation) | [op](/jvm/api_docs/java/org/tensorflow/op/RawOp#op())() Return this unit of computation as a single [Operation](/jvm/api_docs/java/org/tensorflow/Operation). |\n| final String | [toString](/jvm/api_docs/java/org/tensorflow/op/RawOp#toString())() |\n\nFrom class java.lang.Object \n\n|------------------|---------------------------|\n| boolean | equals(Object arg0) |\n| final Class\\\u003c?\\\u003e | getClass() |\n| int | hashCode() |\n| final void | notify() |\n| final void | notifyAll() |\n| String | toString() |\n| final void | wait(long arg0, int arg1) |\n| final void | wait(long arg0) |\n| final void | wait() |\n\nFrom interface [org.tensorflow.op.Op](/jvm/api_docs/java/org/tensorflow/op/Op) \n\n|-----------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract [ExecutionEnvironment](/jvm/api_docs/java/org/tensorflow/ExecutionEnvironment) | [env](/jvm/api_docs/java/org/tensorflow/op/Op#env())() Return the execution environment this op was created in. |\n| abstract [Operation](/jvm/api_docs/java/org/tensorflow/Operation) | [op](/jvm/api_docs/java/org/tensorflow/op/Op#op())() Return this unit of computation as a single [Operation](/jvm/api_docs/java/org/tensorflow/Operation). |\n\nConstants\n---------\n\n#### public static final String\n**OP_NAME**\n\nThe name of this op, as known by TensorFlow core engine \nConstant Value: \"InfeedEnqueue\"\n\nPublic Methods\n--------------\n\n#### public static [InfeedEnqueue](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueue)\n**create**\n([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c? extends [TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e input, [Options...](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueue.Options) options)\n\nFactory method to create a class wrapping a new InfeedEnqueue operation. \n\n##### Parameters\n\n| scope | current scope |\n| input | A tensor that will be provided using the infeed mechanism. |\n| options | carries optional attributes values |\n|---------|------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of InfeedEnqueue \n\n#### public static [InfeedEnqueue.Options](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueue.Options)\n**deviceOrdinal**\n(Long deviceOrdinal)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| deviceOrdinal | The TPU device to use. This should be -1 when the Op is running on a TPU device, and \\\u003e= 0 when the Op is running on the CPU device. |\n|---------------|--------------------------------------------------------------------------------------------------------------------------------------|\n\n#### public static [InfeedEnqueue.Options](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueue.Options)\n**layout**\n(List\\\u003cLong\\\u003e layout)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| layout | A vector holding the requested layout in minor-to-major sequence. If a layout attribute is passed, but its values are all -1, the layout will be computed by the infeed operation. |\n|--------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n\n#### public static [InfeedEnqueue.Options](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueue.Options)\n**shape**\n([Shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shape) shape)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| shape | The shape of the tensor. |\n|-------|--------------------------|"]]