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tensoreflusso:: ops:: cumsum
#include <math_ops.h>
Calcola la somma cumulativa del tensore x
lungo axis
.
Riepilogo
Per impostazione predefinita, questa operazione esegue un cumsum inclusivo, il che significa che il primo elemento dell'input è identico al primo elemento dell'output:
tf.cumsum([a, b, c]) # => [a, a + b, a + b + c]
Impostando kwarg exclusive
su True
, viene invece eseguito un cumsum esclusivo:
tf.cumsum([a, b, c], exclusive=True) # => [0, a, a + b]
Impostando il kwarg reverse
su True
, il cumsum viene eseguito nella direzione opposta:
tf.cumsum([a, b, c], reverse=True) # => [a + b + c, b + c, c]
Questo è più efficiente rispetto all'utilizzo di operazioni tf.reverse
separate.
I kwarg reverse
ed exclusive
possono anche essere combinati:
tf.cumsum([a, b, c], exclusive=True, reverse=True) # => [b + c, c, 0]
Argomenti:
- scope: un oggetto Scope
- x: un
Tensor
. Deve essere uno dei seguenti tipi: float32
, float64
, int64
, int32
, uint8
, uint16
, int16
, int8
, complex64
, complex128
, qint8
, quint8
, qint32
, half
. - asse: un
Tensor
di tipo int32
(impostazione predefinita: 0). Deve essere compreso nell'intervallo [-rank(x), rank(x))
.
Attributi facoltativi (vedi Attrs
):
- esclusivo: se
True
, esegue il cumsum esclusivo. - reverse: A
bool
(default: False).
Resi:
Attributi pubblici
Funzioni pubbliche
nodo
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operatore::tensorflow::Output
operator::tensorflow::Output() const
Funzioni pubbliche statiche
Esclusivo
Attrs Exclusive(
bool x
)
Inversione
Attrs Reverse(
bool 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::Cumsum Class Reference\n\ntensorflow::ops::Cumsum\n=======================\n\n`#include \u003cmath_ops.h\u003e`\n\nCompute the cumulative sum of the tensor `x` along `axis`.\n\nSummary\n-------\n\nBy default, this op performs an inclusive cumsum, which means that the first element of the input is identical to the first element of the output:\n\n\n```text\ntf.cumsum([a, b, c]) # =\u003e [a, a + b, a + b + c]\n```\n\n\u003cbr /\u003e\n\nBy setting the `exclusive` kwarg to `True`, an exclusive cumsum is performed instead:\n\n\n```text\ntf.cumsum([a, b, c], exclusive=True) # =\u003e [0, a, a + b]\n```\n\n\u003cbr /\u003e\n\nBy setting the `reverse` kwarg to `True`, the cumsum is performed in the opposite direction:\n\n\n```text\ntf.cumsum([a, b, c], reverse=True) # =\u003e [a + b + c, b + c, c]\n```\n\n\u003cbr /\u003e\n\nThis is more efficient than using separate `tf.reverse` ops.\n\nThe `reverse` and `exclusive` kwargs can also be combined:\n\n\n```text\ntf.cumsum([a, b, c], exclusive=True, reverse=True) # =\u003e [b + c, c, 0]\n```\n\n\u003cbr /\u003e\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- x: A [Tensor](/versions/r1.15/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor). Must be one of the following types: `float32`, `float64`, `int64`, `int32`, `uint8`, `uint16`, `int16`, `int8`, `complex64`, `complex128`, `qint8`, `quint8`, `qint32`, `half`.\n- axis: A [Tensor](/versions/r1.15/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) of type `int32` (default: 0). Must be in the range `[-rank(x), rank(x))`.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/cumsum/attrs#structtensorflow_1_1ops_1_1_cumsum_1_1_attrs)):\n\n- exclusive: If `True`, perform exclusive cumsum.\n- reverse: A `bool` (default: False).\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The out tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [Cumsum](#classtensorflow_1_1ops_1_1_cumsum_1ac4bff34c1fffc1a64355bd97e38887d2)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` x, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` axis)` ||\n| [Cumsum](#classtensorflow_1_1ops_1_1_cumsum_1afe84204de0e7a885385374174240fcc3)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` x, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` axis, const `[Cumsum::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/cumsum/attrs#structtensorflow_1_1ops_1_1_cumsum_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_cumsum_1abe2a855b0b89aedaadef5b1ab2d495f6) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [out](#classtensorflow_1_1ops_1_1_cumsum_1aa1249678696c8bec40fc3737ff3af4b0) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_cumsum_1a638d380af05abb4f7dbdafb4d578e5c4)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_cumsum_1a433ea12bc76c446dca36009246b62bb4)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_cumsum_1a273a98f7b496769e405300dc1b76addd)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|----------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------|\n| [Exclusive](#classtensorflow_1_1ops_1_1_cumsum_1a405094be636726578ca6715ceeb29637)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/cumsum/attrs#structtensorflow_1_1ops_1_1_cumsum_1_1_attrs) |\n| [Reverse](#classtensorflow_1_1ops_1_1_cumsum_1affad4b03f430a883b021c21fafd4ddbf)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/cumsum/attrs#structtensorflow_1_1ops_1_1_cumsum_1_1_attrs) |\n\n| ### Structs ||\n|--------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::Cumsum::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/cumsum/attrs) | Optional attribute setters for [Cumsum](/versions/r1.15/api_docs/cc/class/tensorflow/ops/cumsum#classtensorflow_1_1ops_1_1_cumsum). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### out\n\n```text\n::tensorflow::Output out\n``` \n\nPublic functions\n----------------\n\n### Cumsum\n\n```gdscript\n Cumsum(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input x,\n ::tensorflow::Input axis\n)\n``` \n\n### Cumsum\n\n```gdscript\n Cumsum(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input x,\n ::tensorflow::Input axis,\n const Cumsum::Attrs & attrs\n)\n``` \n\n### node\n\n```gdscript\n::tensorflow::Node * node() const \n``` \n\n### operator::tensorflow::Input\n\n```gdscript\n operator::tensorflow::Input() const \n``` \n\n### operator::tensorflow::Output\n\n```gdscript\n operator::tensorflow::Output() const \n``` \n\nPublic static functions\n-----------------------\n\n### Exclusive\n\n```text\nAttrs Exclusive(\n bool x\n)\n``` \n\n### Reverse\n\n```text\nAttrs Reverse(\n bool x\n)\n```"]]