SaveSlices
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Menyimpan potongan tensor masukan ke disk.
Ini seperti `Simpan` hanya saja tensor dapat dicantumkan dalam file yang disimpan sebagai bagian dari tensor yang lebih besar. `shapes_and_slices` menentukan bentuk tensor yang lebih besar dan irisan yang dicakup oleh tensor ini. `shapes_and_slices` harus memiliki elemen sebanyak `tensor_names`.
Elemen masukan `bentuk_dan_irisan` harus berupa:
- String kosong, dalam hal ini tensor yang sesuai disimpan secara normal.
- String dalam bentuk `dim0 dim1 ... dimN-1 slice-spec` dengan `dimI` adalah dimensi tensor yang lebih besar dan `slice-spec` menentukan bagian mana yang dicakup oleh tensor yang akan disimpan.
`slice-spec` itu sendiri adalah `:`-daftar yang dipisahkan: `slice0:slice1:...:sliceN-1` dengan masing-masing `sliceI` adalah:
- String `-` berarti irisan tersebut mencakup semua indeks dimensi ini
- `mulai,panjang` di mana `mulai` dan `panjang` adalah bilangan bulat. Dalam hal ini, irisan mencakup indeks `panjang` yang dimulai dari `mulai`.
Lihat juga `Simpan`.
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: "SaveSlices"
Metode Publik
Metode pabrik untuk membuat kelas yang membungkus operasi SaveSlices baru.
Parameter
| cakupan | ruang lingkup saat ini |
|---|
| nama file | Harus memiliki satu elemen. Nama file tempat kita menulis tensornya. |
|---|
| nama tensor | Bentuk `[N]`. Nama-nama tensor yang akan disimpan. |
|---|
| bentukDanIrisan | Bentuk `[N]`. Spesifikasi bentuk dan irisan yang digunakan saat menyimpan tensor. |
|---|
| data | Tensor `N` untuk disimpan. |
|---|
Kembali
- contoh baru dari SaveSlices
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,["# SaveSlices\n\npublic final class **SaveSlices** \nSaves input tensors slices to disk.\n\n\nThis is like \\`Save\\` except that tensors can be listed in the saved file as being\na slice of a larger tensor. \\`shapes_and_slices\\` specifies the shape of the\nlarger tensor and the slice that this tensor covers. \\`shapes_and_slices\\` must\nhave as many elements as \\`tensor_names\\`.\n\n\nElements of the \\`shapes_and_slices\\` input must either be:\n\n- The empty string, in which case the corresponding tensor is saved normally.\n- A string of the form \\`dim0 dim1 ... dimN-1 slice-spec\\` where the \\`dimI\\` are the dimensions of the larger tensor and \\`slice-spec\\` specifies what part is covered by the tensor to save.\n\n\\`slice-spec\\` itself is a \\`:\\`-separated list: \\`slice0:slice1:...:sliceN-1\\` where each \\`sliceI\\` is either:\n\n\u003c!-- --\u003e\n\n- The string \\`-\\` meaning that the slice covers all indices of this dimension\n- \\`start,length\\` where \\`start\\` and \\`length\\` are integers. In that case the slice covers \\`length\\` indices starting at \\`start\\`.\n\nSee also \\`Save\\`.\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/train/SaveSlices#OP_NAME) | The name of this op, as known by TensorFlow core engine |\n\n### Public Methods\n\n|----------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| static [SaveSlices](/jvm/api_docs/java/org/tensorflow/op/train/SaveSlices) | [create](/jvm/api_docs/java/org/tensorflow/op/train/SaveSlices#create(org.tensorflow.op.Scope, org.tensorflow.Operand\u003corg.tensorflow.types.TString\u003e, org.tensorflow.Operand\u003corg.tensorflow.types.TString\u003e, org.tensorflow.Operand\u003corg.tensorflow.types.TString\u003e, java.lang.Iterable\u003corg.tensorflow.Operand\u003c?\u003e\u003e))([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TString](/jvm/api_docs/java/org/tensorflow/types/TString)\\\u003e filename, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TString](/jvm/api_docs/java/org/tensorflow/types/TString)\\\u003e tensorNames, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TString](/jvm/api_docs/java/org/tensorflow/types/TString)\\\u003e shapesAndSlices, Iterable\\\u003c[Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e\\\u003e data) Factory method to create a class wrapping a new SaveSlices operation. |\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: \"SaveSlices\"\n\nPublic Methods\n--------------\n\n#### public static [SaveSlices](/jvm/api_docs/java/org/tensorflow/op/train/SaveSlices)\n**create**\n([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TString](/jvm/api_docs/java/org/tensorflow/types/TString)\\\u003e filename, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TString](/jvm/api_docs/java/org/tensorflow/types/TString)\\\u003e tensorNames, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TString](/jvm/api_docs/java/org/tensorflow/types/TString)\\\u003e shapesAndSlices, Iterable\\\u003c[Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e\\\u003e data)\n\nFactory method to create a class wrapping a new SaveSlices operation. \n\n##### Parameters\n\n| scope | current scope |\n| filename | Must have a single element. The name of the file to which we write the tensor. |\n| tensorNames | Shape \\`\\[N\\]\\`. The names of the tensors to be saved. |\n| shapesAndSlices | Shape \\`\\[N\\]\\`. The shapes and slice specifications to use when saving the tensors. |\n| data | \\`N\\` tensors to save. |\n|-----------------|--------------------------------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of SaveSlices"]]
