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tensoreflusso:: ops:: StringSplitV2
#include <string_ops.h>
Dividere gli elementi di source
in base a sep
in uno SparseTensor
.
Riepilogo
Sia N la dimensione della sorgente (tipicamente N sarà la dimensione del batch). Dividi ogni elemento di source
in base a sep
e restituisci uno SparseTensor
contenente i token divisi. I token vuoti vengono ignorati.
Ad esempio, N = 2, source[0] è 'hello world' e source[1] è 'ab c', quindi l'output sarà
st.indices = [0, 0;
0, 1;
1, 0;
1, 1;
1, 2]
st.shape = [2, 3]
st.values = ['hello', 'world', 'a', 'b', 'c']
Se viene fornito sep
, i delimitatori consecutivi non vengono raggruppati insieme e vengono considerati delimitare stringhe vuote. Ad esempio, source di "1\<\>2\<\>\<\>3"
e sep di "\<\>"
restituiscono ["1", "2", "", "3"]
. Se sep
è None o una stringa vuota, gli spazi consecutivi vengono considerati come un singolo separatore e il risultato non conterrà stringhe vuote all'inizio o alla fine se la stringa ha spazi iniziali o finali.
Nota che il comportamento sopra menzionato corrisponde a str.split di Python.
Argomenti:
- scope: un oggetto Scope
- input:
Tensor
di stringa 1-D
, le stringhe da dividere. - sep: stringa
0-D
Tensor
, il carattere delimitatore.
Attributi facoltativi (vedi Attrs
):
- maxsplit: un
int
. Se maxsplit > 0
, limite della suddivisione del risultato.
Resi:
Funzioni pubbliche statiche |
---|
Maxsplit (int64 x) | |
Attributi pubblici
Funzioni pubbliche
Funzioni pubbliche statiche
Divisione massima
Attrs Maxsplit(
int64 x
)
Salvo quando diversamente specificato, i contenuti di questa pagina sono concessi in base alla licenza Creative Commons Attribution 4.0, mentre gli esempi di codice sono concessi in base alla licenza Apache 2.0. Per ulteriori dettagli, consulta le norme del sito di Google Developers. Java è un marchio registrato di Oracle e/o delle sue consociate.
Ultimo aggiornamento 2025-07-26 UTC.
[null,null,["Ultimo aggiornamento 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::StringSplitV2 Class Reference\n\ntensorflow::ops::StringSplitV2\n==============================\n\n`#include \u003cstring_ops.h\u003e`\n\nSplit elements of `source` based on `sep` into a `SparseTensor`.\n\nSummary\n-------\n\nLet N be the size of source (typically N will be the batch size). Split each element of `source` based on `sep` and return a `SparseTensor` containing the split tokens. [Empty](/versions/r2.2/api_docs/cc/class/tensorflow/ops/empty#classtensorflow_1_1ops_1_1_empty) tokens are ignored.\n\nFor example, N = 2, source\\[0\\] is 'hello world' and source\\[1\\] is 'a b c', then the output will be \n\n```text\nst.indices = [0, 0;\n 0, 1;\n 1, 0;\n 1, 1;\n 1, 2]\nst.shape = [2, 3]\nst.values = ['hello', 'world', 'a', 'b', 'c']\n```\n\n\u003cbr /\u003e\n\nIf `sep` is given, consecutive delimiters are not grouped together and are deemed to delimit empty strings. For example, source of `\"1\\\u003c\\\u003e2\\\u003c\\\u003e\\\u003c\\\u003e3\"` and sep of `\"\\\u003c\\\u003e\"` returns `[\"1\", \"2\", \"\", \"3\"]`. If `sep` is None or an empty string, consecutive whitespace are regarded as a single separator, and the result will contain no empty strings at the startor end if the string has leading or trailing whitespace.\n\nNote that the above mentioned behavior matches python's str.split.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- input: `1-D` string [Tensor](/versions/r2.2/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor), the strings to split.\n- sep: `0-D` string [Tensor](/versions/r2.2/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor), the delimiter character.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/string-split-v2/attrs#structtensorflow_1_1ops_1_1_string_split_v2_1_1_attrs)):\n\n- maxsplit: An `int`. If `maxsplit \u003e 0`, limit of the split of the result.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) indices\n- [Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) values\n- [Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) shape\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [StringSplitV2](#classtensorflow_1_1ops_1_1_string_split_v2_1acbea51cb12f95ef6cae1972ae134e7ac)`(const ::`[tensorflow::Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` sep)` ||\n| [StringSplitV2](#classtensorflow_1_1ops_1_1_string_split_v2_1a63b63775de3ac1b5830b860233d56cbc)`(const ::`[tensorflow::Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` sep, const `[StringSplitV2::Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/string-split-v2/attrs#structtensorflow_1_1ops_1_1_string_split_v2_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|---------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [indices](#classtensorflow_1_1ops_1_1_string_split_v2_1afd84236fdcaab70d550ed4c31069c70b) | `::`[tensorflow::Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_string_split_v2_1a58af1d625de74aabfd6fbf24fc8f5000) | [Operation](/versions/r2.2/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [shape](#classtensorflow_1_1ops_1_1_string_split_v2_1af40d55ff0d2df1679c54c1d41e13dccf) | `::`[tensorflow::Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [values](#classtensorflow_1_1ops_1_1_string_split_v2_1a06c7c35d77269fee3efbc2f4a6987c30) | `::`[tensorflow::Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public static functions ||\n|-------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------|\n| [Maxsplit](#classtensorflow_1_1ops_1_1_string_split_v2_1a33e93526de570b25c067a8a35545e5b2)`(int64 x)` | [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/string-split-v2/attrs#structtensorflow_1_1ops_1_1_string_split_v2_1_1_attrs) |\n\n| ### Structs ||\n|-----------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::StringSplitV2::Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/string-split-v2/attrs) | Optional attribute setters for [StringSplitV2](/versions/r2.2/api_docs/cc/class/tensorflow/ops/string-split-v2#classtensorflow_1_1ops_1_1_string_split_v2). |\n\nPublic attributes\n-----------------\n\n### indices\n\n```text\n::tensorflow::Output indices\n``` \n\n### operation\n\n```text\nOperation operation\n``` \n\n### shape\n\n```text\n::tensorflow::Output shape\n``` \n\n### values\n\n```text\n::tensorflow::Output values\n``` \n\nPublic functions\n----------------\n\n### StringSplitV2\n\n```gdscript\n StringSplitV2(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input sep\n)\n``` \n\n### StringSplitV2\n\n```gdscript\n StringSplitV2(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input sep,\n const StringSplitV2::Attrs & attrs\n)\n``` \n\nPublic static functions\n-----------------------\n\n### Maxsplit\n\n```text\nAttrs Maxsplit(\n int64 x\n)\n```"]]