Recv
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Menerima tensor bernama dari komputasi XLA lain. Membungkus XLA Recv
operator didokumentasikan di https://www.tensorflow.org/ Performance/xla/operation_semantics#recv .
Konstanta
| Rangkaian | OP_NAME | Nama operasi ini dikenal dengan mesin inti TensorFlow |
Metode Publik
| Keluaran <T> | |
| statis <T memperluas TType > Recv <T> | buat ( Lingkup lingkup, Kelas<T> dtype, String tensorName, Bentuk bentuk) Metode pabrik untuk membuat kelas yang membungkus operasi Recv baru. |
| Keluaran <T> | tensor () Tensor yang akan diterima. |
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: "XlaRecv"
Metode Publik
Keluaran publik <T> sebagai Keluaran ()
Mengembalikan pegangan simbolis tensor.
Masukan ke operasi TensorFlow adalah keluaran dari operasi TensorFlow lainnya. Metode ini digunakan untuk mendapatkan pegangan simbolis yang mewakili perhitungan input.
public static Recv <T> buat ( Lingkup lingkup, Kelas<T> dtype, String tensorName, Bentuk bentuk)
Metode pabrik untuk membuat kelas yang membungkus operasi Recv baru.
Parameter
| cakupan | ruang lingkup saat ini |
|---|
| tipe | Jenis tensornya. |
|---|
| TensorNama | Kunci string yang mengidentifikasi saluran. |
|---|
| membentuk | Bentuk tensornya. |
|---|
Tensor Keluaran publik <T> ()
Tensor yang akan diterima.
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,["# Recv\n\npublic final class **Recv** \nReceives the named tensor from another XLA computation. Wraps the XLA Recv\n\n\noperator documented at\nhttps://www.tensorflow.org/performance/xla/operation_semantics#recv .\n\n\u003cbr /\u003e\n\n### Constants\n\n|--------|------------------------------------------------------------------|---------------------------------------------------------|\n| String | [OP_NAME](/jvm/api_docs/java/org/tensorflow/op/xla/Recv#OP_NAME) | The name of this op, as known by TensorFlow core engine |\n\n### Public Methods\n\n|-----------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [asOutput](/jvm/api_docs/java/org/tensorflow/op/xla/Recv#asOutput())() Returns the symbolic handle of the tensor. |\n| static \\\u003cT extends [TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e [Recv](/jvm/api_docs/java/org/tensorflow/op/xla/Recv)\\\u003cT\\\u003e | [create](/jvm/api_docs/java/org/tensorflow/op/xla/Recv#create(org.tensorflow.op.Scope, java.lang.Class\u003cT\u003e, java.lang.String, org.tensorflow.ndarray.Shape))([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, Class\\\u003cT\\\u003e dtype, String tensorName, [Shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shape) shape) Factory method to create a class wrapping a new Recv operation. |\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [tensor](/jvm/api_docs/java/org/tensorflow/op/xla/Recv#tensor())() The tensor to receive. |\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\nFrom interface [org.tensorflow.Operand](/jvm/api_docs/java/org/tensorflow/Operand) \n\n|-------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [asOutput](/jvm/api_docs/java/org/tensorflow/Operand#asOutput())() Returns the symbolic handle of the tensor. |\n| abstract T | [asTensor](/jvm/api_docs/java/org/tensorflow/Operand#asTensor())() Returns the tensor at this operand. |\n| abstract [Shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shape) | [shape](/jvm/api_docs/java/org/tensorflow/Operand#shape())() Returns the (possibly partially known) shape of the tensor referred to by the [Output](/jvm/api_docs/java/org/tensorflow/Output) of this operand. |\n| abstract Class\\\u003cT\\\u003e | [type](/jvm/api_docs/java/org/tensorflow/Operand#type())() Returns the tensor type of this operand |\n\nFrom interface [org.tensorflow.ndarray.Shaped](/jvm/api_docs/java/org/tensorflow/ndarray/Shaped) \n\n|-------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract int | [rank](/jvm/api_docs/java/org/tensorflow/ndarray/Shaped#rank())() |\n| abstract [Shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shape) | [shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shaped#shape())() |\n| abstract long | [size](/jvm/api_docs/java/org/tensorflow/ndarray/Shaped#size())() Computes and returns the total size of this container, in number of values. |\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: \"XlaRecv\"\n\nPublic Methods\n--------------\n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**asOutput**\n()\n\nReturns the symbolic handle of the tensor.\n\nInputs to TensorFlow operations are outputs of another TensorFlow operation. This method is\nused to obtain a symbolic handle that represents the computation of the input.\n\n\u003cbr /\u003e\n\n#### public static [Recv](/jvm/api_docs/java/org/tensorflow/op/xla/Recv)\\\u003cT\\\u003e\n**create**\n([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, Class\\\u003cT\\\u003e dtype, String tensorName, [Shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shape) shape)\n\nFactory method to create a class wrapping a new Recv operation. \n\n##### Parameters\n\n| scope | current scope |\n| dtype | The type of the tensor. |\n| tensorName | A string key that identifies the channel. |\n| shape | The shape of the tensor. |\n|------------|-------------------------------------------|\n\n##### Returns\n\n- a new instance of Recv \n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**tensor**\n()\n\nThe tensor to receive."]]
