InfeedEnqueueTuple
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Memasukkan beberapa nilai Tensor ke dalam komputasi sebagai tupel XLA.
Konstanta
Rangkaian | OP_NAME | Nama operasi ini dikenal dengan mesin inti TensorFlow |
Metode Warisan
Dari kelas java.lang.Object boolean | sama dengan (Objek arg0) |
Kelas terakhir<?> | dapatkan Kelas () |
ke dalam | Kode hash () |
kekosongan terakhir | memberitahu () |
kekosongan terakhir | beri tahuSemua () |
Rangkaian | keString () |
kekosongan terakhir | tunggu (arg0 panjang, int arg1) |
kekosongan terakhir | tunggu (argumen panjang0) |
kekosongan terakhir | Tunggu () |
Konstanta
String akhir statis publik OP_NAME
Nama operasi ini dikenal dengan mesin inti TensorFlow
Nilai Konstan: "InfeedEnqueueTuple"
Metode Publik
Metode pabrik untuk membuat kelas yang membungkus operasi InfeedEnqueueTuple baru.
Parameter
cakupan | ruang lingkup saat ini |
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masukan | Daftar tensor yang akan diberikan menggunakan mekanisme infeed. |
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bentuk | Bentuk setiap tensor di `input`. |
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pilihan | membawa nilai atribut opsional |
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Kembali
- contoh baru dari InfeedEnqueueTuple
public static InfeedEnqueueTuple.Options deviceOrdinal (PerangkatOrdinal panjang)
Parameter
perangkatOrdinal | Perangkat TPU yang akan digunakan. Nilainya harus -1 saat Operasi dijalankan pada perangkat TPU, dan >= 0 saat Operasi dijalankan pada perangkat CPU. |
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tata letak InfeedEnqueueTuple.Options statis publik (tata letak Daftar<Panjang>)
Parameter
tata letak | Sebuah vektor yang menampung tata letak yang diminta dalam urutan minor hingga mayor untuk semua bentuk tuple, sesuai urutan kemunculan bentuk di input "bentuk". Elemen tata letak untuk sub-bentuk dapat diatur ke -1, dalam hal ini tata letak terkait akan dihitung dengan operasi pemasukan. |
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Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-07-26 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-26 UTC."],[],[],null,["# InfeedEnqueueTuple\n\npublic final class **InfeedEnqueueTuple** \nFeeds multiple Tensor values into the computation as an XLA tuple. \n\n### Nested Classes\n\n|-------|---|---|-----------------------------------------------------------------------------------------------------------|\n| class | [InfeedEnqueueTuple.Options](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueueTuple.Options) || Optional attributes for [InfeedEnqueueTuple](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueueTuple) |\n\n### Constants\n\n|--------|--------------------------------------------------------------------------------|---------------------------------------------------------|\n| String | [OP_NAME](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueueTuple#OP_NAME) | The name of this op, as known by TensorFlow core engine |\n\n### Public Methods\n\n|----------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| static [InfeedEnqueueTuple](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueueTuple) | [create](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueueTuple#create(org.tensorflow.op.Scope, java.lang.Iterable\u003corg.tensorflow.Operand\u003c?\u003e\u003e, java.util.List\u003corg.tensorflow.ndarray.Shape\u003e, org.tensorflow.op.tpu.InfeedEnqueueTuple.Options...))([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, Iterable\\\u003c[Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e\\\u003e inputs, List\\\u003c[Shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shape)\\\u003e shapes, [Options...](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueueTuple.Options) options) Factory method to create a class wrapping a new InfeedEnqueueTuple operation. |\n| static [InfeedEnqueueTuple.Options](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueueTuple.Options) | [deviceOrdinal](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueueTuple#deviceOrdinal(java.lang.Long))(Long deviceOrdinal) |\n| static [InfeedEnqueueTuple.Options](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueueTuple.Options) | [layouts](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueueTuple#layouts(java.util.List\u003cjava.lang.Long\u003e))(List\\\u003cLong\\\u003e layouts) |\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: \"InfeedEnqueueTuple\"\n\nPublic Methods\n--------------\n\n#### public static [InfeedEnqueueTuple](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueueTuple)\n**create**\n([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, Iterable\\\u003c[Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e\\\u003e inputs, List\\\u003c[Shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shape)\\\u003e shapes, [Options...](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueueTuple.Options) options)\n\nFactory method to create a class wrapping a new InfeedEnqueueTuple operation. \n\n##### Parameters\n\n| scope | current scope |\n| inputs | A list of tensors that will be provided using the infeed mechanism. |\n| shapes | The shapes of each tensor in \\`inputs\\`. |\n| options | carries optional attributes values |\n|---------|---------------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of InfeedEnqueueTuple \n\n#### public static [InfeedEnqueueTuple.Options](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueueTuple.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 [InfeedEnqueueTuple.Options](/jvm/api_docs/java/org/tensorflow/op/tpu/InfeedEnqueueTuple.Options)\n**layouts**\n(List\\\u003cLong\\\u003e layouts)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| layouts | A vector holding the requested layout in minor-to-major sequence for all the tuple shapes, in the order the shapes appear in the \"shapes\" input. The layout elements for a sub-shape can be set to -1, in which case the corresponding layout will be computed by the infeed operation. |\n|---------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|"]]