RaggedRange
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Simpan dan kategorikan konten berdasarkan preferensi Anda.
Mengembalikan `RaggedTensor` yang berisi rangkaian angka tertentu.
Mengembalikan `RaggedTensor` `hasil` yang terdiri dari `rt_dense_values` dan `rt_nested_splits`, sehingga `hasil[i] = rentang(mulai[i], batas[i], delta[i])`.
(rt_nested_splits, rt_dense_values) = ragged_range(
starts=[2, 5, 8], limits=[3, 5, 12], deltas=1)
result = tf.ragged.from_row_splits(rt_dense_values, rt_nested_splits)
print(result)
<tf.RaggedTensor [[2], [], [8, 9, 10, 11]] >
Tensor masukan `mulai`, `batas`, dan `delta` dapat berupa skalar atau vektor. Semua masukan vektor harus memiliki ukuran yang sama. Masukan skalar disiarkan agar sesuai dengan ukuran masukan vektor.
Konstanta
Rangkaian | OP_NAME | Nama operasi ini dikenal dengan mesin inti TensorFlow |
Metode Publik
statis <T meluas TNumber > RaggedRange < TInt64 , T> | buat ( Lingkup lingkup , Operan <T> dimulai, Batas Operan <T>, Operan <T> delta) Metode pabrik untuk membuat kelas yang membungkus operasi RaggedRange baru menggunakan tipe keluaran default. |
statis <U memperluas TNomber , T memperluas TNomber > RaggedRange <U, T> | buat ( Lingkup lingkup , Operan <T> dimulai, Batas Operan <T>, Operan <T> delta, Kelas<U> Tsplits) Metode pabrik untuk membuat kelas yang membungkus operasi RaggedRange baru. |
Keluaran <T> | rtDenseValues () `flat_values` untuk `RaggedTensor` yang dikembalikan. |
Keluaran <U> | rtNestedSplit () `row_splits` untuk `RaggedTensor` yang dikembalikan. |
Metode Warisan
Dari kelas java.lang.Object boolean | sama dengan (Objek arg0) |
Kelas terakhir<?> | dapatkan Kelas () |
ke dalam | Kode hash () |
kekosongan terakhir | beri tahu () |
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: "RaggedRange"
Metode Publik
Metode pabrik untuk membuat kelas yang membungkus operasi RaggedRange baru menggunakan tipe keluaran default.
Parameter
cakupan | ruang lingkup saat ini |
---|
dimulai | Awal dari setiap rentang. |
---|
batas | Batasan setiap rentang. |
---|
delta | Delta dari setiap rentang. |
---|
Kembali
- contoh baru dari RaggedRange
public static RaggedRange <U, T> buat ( Lingkup lingkup , Operan <T> dimulai, batas Operan <T>, Delta Operan <T>, Kelas<U> Tsplits)
Metode pabrik untuk membuat kelas yang membungkus operasi RaggedRange baru.
Parameter
cakupan | ruang lingkup saat ini |
---|
dimulai | Awal dari setiap rentang. |
---|
batas | Batasan setiap rentang. |
---|
delta | Delta dari setiap rentang. |
---|
Kembali
- contoh baru dari RaggedRange
Keluaran publik <T> rtDenseValues ()
`flat_values` untuk `RaggedTensor` yang dikembalikan.
Keluaran publik <U> rtNestedSplits ()
`row_splits` untuk `RaggedTensor` yang dikembalikan.
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,["# RaggedRange\n\npublic final class **RaggedRange** \nReturns a \\`RaggedTensor\\` containing the specified sequences of numbers.\n\n\nReturns a \\`RaggedTensor\\` \\`result\\` composed from \\`rt_dense_values\\` and\n\\`rt_nested_splits\\`, such that\n\\`result\\[i\\] = range(starts\\[i\\], limits\\[i\\], deltas\\[i\\])\\`. \n\n (rt_nested_splits, rt_dense_values) = ragged_range(\n starts=[2, 5, 8], limits=[3, 5, 12], deltas=1)\n result = tf.ragged.from_row_splits(rt_dense_values, rt_nested_splits)\n print(result)\n \u003ctf.RaggedTensor [[2], [], [8, 9, 10, 11]] \u003e\n \nThe input tensors \\`starts\\`, \\`limits\\`, and \\`deltas\\` may be scalars or vectors. The vector inputs must all have the same size. Scalar inputs are broadcast to match the size of the vector inputs.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n### Constants\n\n|--------|----------------------------------------------------------------------------|---------------------------------------------------------|\n| String | [OP_NAME](/jvm/api_docs/java/org/tensorflow/op/ragged/RaggedRange#OP_NAME) | The name of this op, as known by TensorFlow core engine |\n\n### Public Methods\n\n|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| static \\\u003cT extends [TNumber](/jvm/api_docs/java/org/tensorflow/types/family/TNumber)\\\u003e [RaggedRange](/jvm/api_docs/java/org/tensorflow/op/ragged/RaggedRange)\\\u003c[TInt64](/jvm/api_docs/java/org/tensorflow/types/TInt64), T\\\u003e | [create](/jvm/api_docs/java/org/tensorflow/op/ragged/RaggedRange#create(org.tensorflow.op.Scope, org.tensorflow.Operand\u003cT\u003e, org.tensorflow.Operand\u003cT\u003e, org.tensorflow.Operand\u003cT\u003e))([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e starts, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e limits, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e deltas) Factory method to create a class wrapping a new RaggedRange operation using default output types. |\n| static \\\u003cU extends [TNumber](/jvm/api_docs/java/org/tensorflow/types/family/TNumber), T extends [TNumber](/jvm/api_docs/java/org/tensorflow/types/family/TNumber)\\\u003e [RaggedRange](/jvm/api_docs/java/org/tensorflow/op/ragged/RaggedRange)\\\u003cU, T\\\u003e | [create](/jvm/api_docs/java/org/tensorflow/op/ragged/RaggedRange#create(org.tensorflow.op.Scope, org.tensorflow.Operand\u003cT\u003e, org.tensorflow.Operand\u003cT\u003e, org.tensorflow.Operand\u003cT\u003e, java.lang.Class\u003cU\u003e))([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e starts, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e limits, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e deltas, Class\\\u003cU\\\u003e Tsplits) Factory method to create a class wrapping a new RaggedRange operation. |\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [rtDenseValues](/jvm/api_docs/java/org/tensorflow/op/ragged/RaggedRange#rtDenseValues())() The \\`flat_values\\` for the returned \\`RaggedTensor\\`. |\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cU\\\u003e | [rtNestedSplits](/jvm/api_docs/java/org/tensorflow/op/ragged/RaggedRange#rtNestedSplits())() The \\`row_splits\\` for the returned \\`RaggedTensor\\`. |\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: \"RaggedRange\"\n\nPublic Methods\n--------------\n\n#### public static [RaggedRange](/jvm/api_docs/java/org/tensorflow/op/ragged/RaggedRange)\\\u003c[TInt64](/jvm/api_docs/java/org/tensorflow/types/TInt64), T\\\u003e\n**create**\n([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e starts, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e limits, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e deltas)\n\nFactory method to create a class wrapping a new RaggedRange operation using default output types. \n\n##### Parameters\n\n| scope | current scope |\n| starts | The starts of each range. |\n| limits | The limits of each range. |\n| deltas | The deltas of each range. |\n|--------|---------------------------|\n\n##### Returns\n\n- a new instance of RaggedRange \n\n#### public static [RaggedRange](/jvm/api_docs/java/org/tensorflow/op/ragged/RaggedRange)\\\u003cU, T\\\u003e\n**create**\n([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e starts, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e limits, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e deltas, Class\\\u003cU\\\u003e Tsplits)\n\nFactory method to create a class wrapping a new RaggedRange operation. \n\n##### Parameters\n\n| scope | current scope |\n| starts | The starts of each range. |\n| limits | The limits of each range. |\n| deltas | The deltas of each range. |\n|--------|---------------------------|\n\n##### Returns\n\n- a new instance of RaggedRange \n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**rtDenseValues**\n()\n\nThe \\`flat_values\\` for the returned \\`RaggedTensor\\`. \n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cU\\\u003e\n**rtNestedSplits**\n()\n\nThe \\`row_splits\\` for the returned \\`RaggedTensor\\`."]]