DeserializeSparse
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Deserialisasi objek `SparseTensor`.
Input `serialized_sparse` harus berbentuk `[?, ?, ..., ?, 3]` dengan dimensi terakhir menyimpan objek `SparseTensor` yang diserialkan dan N dimensi lainnya (N >= 0) berhubungan dengan satu batch. Peringkat objek `SparseTensor` asli semuanya harus cocok. Saat `SparseTensor` terakhir dibuat, peringkatnya adalah peringkat objek `SparseTensor` yang masuk ditambah N; tensor renggang telah digabungkan sepanjang dimensi baru, satu untuk setiap kumpulan.
Nilai bentuk objek `SparseTensor` keluaran untuk dimensi asli adalah nilai maksimal seluruh nilai bentuk objek `SparseTensor` masukan untuk dimensi terkait. Dimensi baru sesuai dengan ukuran batch.
Indeks objek `SparseTensor` masukan diasumsikan diurutkan dalam urutan leksikografis standar. Jika tidak demikian, setelah langkah ini jalankan `SparseReorder` untuk memulihkan pengurutan indeks.
Misalnya, jika input serial adalah matriks `[2 x 3]` yang mewakili dua objek `SparseTensor` asli:
indeks = [ 0] [10] [20] nilai = [1, 2, 3] bentuk = [50]
Dan
indeks = [ 2] [10] nilai = [4, 5] bentuk = [30]
maka `SparseTensor` terakhir yang dideserialisasi akan menjadi:
indeks = [0 0] [0 10] [0 20] [1 2] [1 10] nilai = [1, 2, 3, 4, 5] bentuk = [2 50]
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: "DeserializeSparse"
Metode Publik
public static DeserializeSparse <U> buat ( Lingkup lingkup, Operan <? extends TType > serializedSparse, Kelas<U> dtype)
Metode pabrik untuk membuat kelas yang membungkus operasi DeserializeSparse baru.
Parameter
| cakupan | ruang lingkup saat ini |
|---|
| berseriSparse | Objek `SparseTensor` yang diserialkan. Dimensi terakhir harus memiliki 3 kolom. |
|---|
| tipe | `dtype` dari objek `SparseTensor` yang diserialkan. |
|---|
Kembali
- contoh baru dari DeserializeSparse
Output publik <U> sparseValues ()
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,["# DeserializeSparse\n\npublic final class **DeserializeSparse** \nDeserialize \\`SparseTensor\\` objects.\n\n\nThe input \\`serialized_sparse\\` must have the shape \\`\\[?, ?, ..., ?, 3\\]\\` where\nthe last dimension stores serialized \\`SparseTensor\\` objects and the other N\ndimensions (N \\\u003e= 0) correspond to a batch. The ranks of the original\n\\`SparseTensor\\` objects must all match. When the final \\`SparseTensor\\` is\ncreated, its rank is the rank of the incoming \\`SparseTensor\\` objects plus N;\nthe sparse tensors have been concatenated along new dimensions, one for each\nbatch.\n\n\nThe output \\`SparseTensor\\` object's shape values for the original dimensions\nare the max across the input \\`SparseTensor\\` objects' shape values for the\ncorresponding dimensions. The new dimensions match the size of the batch.\n\n\nThe input \\`SparseTensor\\` objects' indices are assumed ordered in\nstandard lexicographic order. If this is not the case, after this\nstep run \\`SparseReorder\\` to restore index ordering.\n\n\nFor example, if the serialized input is a \\`\\[2 x 3\\]\\` matrix representing two\noriginal \\`SparseTensor\\` objects:\n\n\nindex = \\[ 0\\]\n\\[10\\]\n\\[20\\]\nvalues = \\[1, 2, 3\\]\nshape = \\[50\\]\n\n\nand\n\n\nindex = \\[ 2\\]\n\\[10\\]\nvalues = \\[4, 5\\]\nshape = \\[30\\]\n\n\nthen the final deserialized \\`SparseTensor\\` will be:\n\n\nindex = \\[0 0\\]\n\\[0 10\\]\n\\[0 20\\]\n\\[1 2\\]\n\\[1 10\\]\nvalues = \\[1, 2, 3, 4, 5\\]\nshape = \\[2 50\\]\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n### Constants\n\n|--------|----------------------------------------------------------------------------------|---------------------------------------------------------|\n| String | [OP_NAME](/jvm/api_docs/java/org/tensorflow/op/sparse/DeserializeSparse#OP_NAME) | The name of this op, as known by TensorFlow core engine |\n\n### Public Methods\n\n|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| static \\\u003cU extends [TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e [DeserializeSparse](/jvm/api_docs/java/org/tensorflow/op/sparse/DeserializeSparse)\\\u003cU\\\u003e | [create](/jvm/api_docs/java/org/tensorflow/op/sparse/DeserializeSparse#create(org.tensorflow.op.Scope, org.tensorflow.Operand\u003c? extends org.tensorflow.types.family.TType\u003e, java.lang.Class\u003cU\u003e))([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 serializedSparse, Class\\\u003cU\\\u003e dtype) Factory method to create a class wrapping a new DeserializeSparse operation. |\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003c[TInt64](/jvm/api_docs/java/org/tensorflow/types/TInt64)\\\u003e | [sparseIndices](/jvm/api_docs/java/org/tensorflow/op/sparse/DeserializeSparse#sparseIndices())() |\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003c[TInt64](/jvm/api_docs/java/org/tensorflow/types/TInt64)\\\u003e | [sparseShape](/jvm/api_docs/java/org/tensorflow/op/sparse/DeserializeSparse#sparseShape())() |\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cU\\\u003e | [sparseValues](/jvm/api_docs/java/org/tensorflow/op/sparse/DeserializeSparse#sparseValues())() |\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: \"DeserializeSparse\"\n\nPublic Methods\n--------------\n\n#### public static [DeserializeSparse](/jvm/api_docs/java/org/tensorflow/op/sparse/DeserializeSparse)\\\u003cU\\\u003e\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 serializedSparse, Class\\\u003cU\\\u003e dtype)\n\nFactory method to create a class wrapping a new DeserializeSparse operation. \n\n##### Parameters\n\n| scope | current scope |\n| serializedSparse | The serialized \\`SparseTensor\\` objects. The last dimension must have 3 columns. |\n| dtype | The \\`dtype\\` of the serialized \\`SparseTensor\\` objects. |\n|------------------|----------------------------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of DeserializeSparse \n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003c[TInt64](/jvm/api_docs/java/org/tensorflow/types/TInt64)\\\u003e\n**sparseIndices**\n()\n\n\u003cbr /\u003e\n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003c[TInt64](/jvm/api_docs/java/org/tensorflow/types/TInt64)\\\u003e\n**sparseShape**\n()\n\n\u003cbr /\u003e\n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cU\\\u003e\n**sparseValues**\n()\n\n\u003cbr /\u003e"]]
