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텐서플로우:: 작전:: MatMul
#include <math_ops.h>
행렬 "a"에 행렬 "b" 를 곱합니다 .
요약
입력은 2차원 행렬이어야 하며 "a"의 내부 차원(transpose_a가 true인 경우 전치된 후)은 "b"의 외부 차원(transposed_b가 true인 경우 전치된 후)과 일치해야 합니다.
참고 : GPU에서 MatMul 의 기본 커널 구현은 cublas를 사용합니다.
인수:
선택적 속성( Attrs
참조):
- transpose_a: true인 경우 곱하기 전에 "a"가 전치됩니다.
- transpose_b: true인 경우 곱하기 전에 "b"가 전치됩니다.
보고:
공개 속성
공공 기능
마디
::tensorflow::Node * node() const
operator::tensorflow::Input() const
연산자::텐서플로우::출력
operator::tensorflow::Output() const
공개 정적 함수
조옮김A
Attrs TransposeA(
bool x
)
조옮김B
Attrs TransposeB(
bool x
)
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최종 업데이트: 2025-07-27(UTC)
[null,null,["최종 업데이트: 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```"]]