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tensoreflusso:: ops:: MatMul
#include <math_ops.h>
Moltiplicare la matrice "a" per la matrice "b".
Riepilogo
Gli input devono essere matrici bidimensionali e la dimensione interna di "a" (dopo essere stata trasposta se transpose_a è vera) deve corrispondere alla dimensione esterna di "b" (dopo essere stata trasposta se transposed_b è vero).
Nota : l'implementazione predefinita del kernel per MatMul sulle GPU utilizza cublas.
Argomenti:
Attributi facoltativi (vedi Attrs
):
- transpose_a: se vero, "a" viene trasposto prima della moltiplicazione.
- transpose_b: se vero, "b" viene trasposto prima della moltiplicazione.
Resi:
-
Output
: il tensore del prodotto.
Attributi pubblici
Funzioni pubbliche
nodo
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operatore::tensorflow::Output
operator::tensorflow::Output() const
Funzioni pubbliche statiche
TrasporreA
Attrs TransposeA(
bool x
)
TrasporreB
Attrs TransposeB(
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 2025-07-27 UTC.
[null,null,["Ultimo aggiornamento 2025-07-27 UTC."],[],[],null,["# tensorflow::ops::MatMul Class Reference\n\ntensorflow::ops::MatMul\n=======================\n\n`#include \u003cmath_ops.h\u003e`\n\n[Multiply](/versions/r2.3/api_docs/cc/class/tensorflow/ops/multiply#classtensorflow_1_1ops_1_1_multiply) the matrix \"a\" by the matrix \"b\".\n\nSummary\n-------\n\nThe inputs must be two-dimensional matrices and the inner dimension of \"a\" (after being transposed if transpose_a is true) must match the outer dimension of \"b\" (after being transposed if transposed_b is true).\n\n*Note* : The default kernel implementation for [MatMul](/versions/r2.3/api_docs/cc/class/tensorflow/ops/mat-mul#classtensorflow_1_1ops_1_1_mat_mul) on GPUs uses cublas.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/mat-mul/attrs#structtensorflow_1_1ops_1_1_mat_mul_1_1_attrs)):\n\n- transpose_a: If true, \"a\" is transposed before multiplication.\n- transpose_b: If true, \"b\" is transposed before multiplication.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The product tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [MatMul](#classtensorflow_1_1ops_1_1_mat_mul_1ab83040fb6ae9e56138c0f69b00760209)`(const ::`[tensorflow::Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` a, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` b)` ||\n| [MatMul](#classtensorflow_1_1ops_1_1_mat_mul_1a34177e68c8f4fa1f1813814ce67d891c)`(const ::`[tensorflow::Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` a, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` b, const `[MatMul::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/mat-mul/attrs#structtensorflow_1_1ops_1_1_mat_mul_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_mat_mul_1ab873d083b82c9aa9485a303d40b97eb4) | [Operation](/versions/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [product](#classtensorflow_1_1ops_1_1_mat_mul_1ab034be60cd7ec86407eb741bdfc5f379) | `::`[tensorflow::Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|-------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_mat_mul_1a0336cd912c0b25144c3d9b57a626debf)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_mat_mul_1abd3e6b08fb374614d203378c1dfaec97)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_mat_mul_1a9882a2914eeb6bb488bf990e3240f05a)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------|\n| [TransposeA](#classtensorflow_1_1ops_1_1_mat_mul_1adde997ec4038167a5e5e31ad805e2651)`(bool x)` | [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/mat-mul/attrs#structtensorflow_1_1ops_1_1_mat_mul_1_1_attrs) |\n| [TransposeB](#classtensorflow_1_1ops_1_1_mat_mul_1a94996492e8e4ff12164accf93c28dabd)`(bool x)` | [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/mat-mul/attrs#structtensorflow_1_1ops_1_1_mat_mul_1_1_attrs) |\n\n| ### Structs ||\n|--------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::MatMul::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/mat-mul/attrs) | Optional attribute setters for [MatMul](/versions/r2.3/api_docs/cc/class/tensorflow/ops/mat-mul#classtensorflow_1_1ops_1_1_mat_mul). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### product\n\n```text\n::tensorflow::Output product\n``` \n\nPublic functions\n----------------\n\n### MatMul\n\n```gdscript\n MatMul(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input a,\n ::tensorflow::Input b\n)\n``` \n\n### MatMul\n\n```gdscript\n MatMul(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input a,\n ::tensorflow::Input b,\n const MatMul::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### TransposeA\n\n```text\nAttrs TransposeA(\n bool x\n)\n``` \n\n### TransposeB\n\n```text\nAttrs TransposeB(\n bool x\n)\n```"]]