SparseReorder
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Menyusun ulang SparseTensor ke dalam pengurutan baris-mayor kanonik.
Perhatikan bahwa berdasarkan konvensi, semua operasi renggang mempertahankan urutan kanonik seiring bertambahnya jumlah dimensi. Satu-satunya waktu pemesanan dapat dilanggar adalah selama manipulasi manual indeks dan nilai vektor untuk menambahkan entri.
Penataan ulang tidak memengaruhi bentuk SparseTensor.
Jika tensor memiliki nilai rank `R` dan `N` yang tidak kosong, `input_indices` memiliki bentuk `[N, R]`, input_values memiliki panjang `N`, dan input_shape memiliki panjang `R`.
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: "SparseReorder"
Metode Publik
Metode pabrik untuk membuat kelas yang membungkus operasi SparseReorder baru.
Parameter
| cakupan | ruang lingkup saat ini |
|---|
| masukanIndeks | 2-D. Matriks `N x R` dengan indeks nilai tidak kosong dalam SparseTensor, mungkin tidak dalam urutan kanonik. |
|---|
| nilai masukan | 1-D. `N` nilai tidak kosong yang sesuai dengan `input_indices`. |
|---|
| bentuk masukan | 1-D. Bentuk masukan SparseTensor. |
|---|
Kembali
- contoh baru dari SparseReorder
Keluaran publik < TInt64 > Indeks keluaran ()
2-D. Matriks `N x R` dengan indeks yang sama dengan indeks_input, tetapi dalam urutan baris-mayor kanonik.
Keluaran publik <T> Nilai keluaran ()
1-D. `N` nilai tidak kosong yang sesuai dengan `output_indices`.
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 2025-07-27 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-27 UTC."],[],[],null,["# SparseReorder\n\npublic final class **SparseReorder** \nReorders a SparseTensor into the canonical, row-major ordering.\n\n\nNote that by convention, all sparse ops preserve the canonical ordering along\nincreasing dimension number. The only time ordering can be violated is during\nmanual manipulation of the indices and values vectors to add entries.\n\n\nReordering does not affect the shape of the SparseTensor.\n\n\nIf the tensor has rank \\`R\\` and \\`N\\` non-empty values, \\`input_indices\\` has\nshape \\`\\[N, R\\]\\`, input_values has length \\`N\\`, and input_shape has length \\`R\\`.\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/SparseReorder#OP_NAME) | The name of this op, as known by TensorFlow core engine |\n\n### Public Methods\n\n|--------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| static \\\u003cT extends [TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e [SparseReorder](/jvm/api_docs/java/org/tensorflow/op/sparse/SparseReorder)\\\u003cT\\\u003e | [create](/jvm/api_docs/java/org/tensorflow/op/sparse/SparseReorder#create(org.tensorflow.op.Scope, org.tensorflow.Operand\u003corg.tensorflow.types.TInt64\u003e, org.tensorflow.Operand\u003cT\u003e, org.tensorflow.Operand\u003corg.tensorflow.types.TInt64\u003e))([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TInt64](/jvm/api_docs/java/org/tensorflow/types/TInt64)\\\u003e inputIndices, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e inputValues, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TInt64](/jvm/api_docs/java/org/tensorflow/types/TInt64)\\\u003e inputShape) Factory method to create a class wrapping a new SparseReorder operation. |\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003c[TInt64](/jvm/api_docs/java/org/tensorflow/types/TInt64)\\\u003e | [outputIndices](/jvm/api_docs/java/org/tensorflow/op/sparse/SparseReorder#outputIndices())() 2-D. |\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [outputValues](/jvm/api_docs/java/org/tensorflow/op/sparse/SparseReorder#outputValues())() 1-D. |\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: \"SparseReorder\"\n\nPublic Methods\n--------------\n\n#### public static [SparseReorder](/jvm/api_docs/java/org/tensorflow/op/sparse/SparseReorder)\\\u003cT\\\u003e\n**create**\n([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TInt64](/jvm/api_docs/java/org/tensorflow/types/TInt64)\\\u003e inputIndices, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e inputValues, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TInt64](/jvm/api_docs/java/org/tensorflow/types/TInt64)\\\u003e inputShape)\n\nFactory method to create a class wrapping a new SparseReorder operation. \n\n##### Parameters\n\n| scope | current scope |\n| inputIndices | 2-D. \\`N x R\\` matrix with the indices of non-empty values in a SparseTensor, possibly not in canonical ordering. |\n| inputValues | 1-D. \\`N\\` non-empty values corresponding to \\`input_indices\\`. |\n| inputShape | 1-D. Shape of the input SparseTensor. |\n|--------------|-------------------------------------------------------------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of SparseReorder \n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003c[TInt64](/jvm/api_docs/java/org/tensorflow/types/TInt64)\\\u003e\n**outputIndices**\n()\n\n2-D. \\`N x R\\` matrix with the same indices as input_indices, but\nin canonical row-major ordering. \n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**outputValues**\n()\n\n1-D. \\`N\\` non-empty values corresponding to \\`output_indices\\`."]]
