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aliran tensor:: operasi:: BatchMatMul
#include <math_ops.h>
Mengalikan irisan dua tensor secara berkelompok.
Ringkasan
Mengalikan semua irisan Tensor
x
dan y
(setiap irisan dapat dilihat sebagai elemen suatu kumpulan), dan menyusun hasil individual dalam satu tensor keluaran dengan ukuran kumpulan yang sama. Masing-masing irisan individual dapat digabungkan secara opsional (untuk menyatukan matriks berarti mengubah posisi dan mengkonjugasikannya) sebelum perkalian dengan menyetel tanda adj_x
atau adj_y
ke True
, yang secara default adalah False
.
Tensor input x
dan y
adalah 2-D atau lebih tinggi dengan bentuk [..., r_x, c_x]
dan [..., r_y, c_y]
.
Tensor keluarannya adalah 2-D atau lebih tinggi dengan bentuk [..., r_o, c_o]
, dengan:
r_o = c_x if adj_x else r_x
c_o = r_y if adj_y else c_y
Itu dihitung sebagai:
output[..., :, :] = matrix(x[..., :, :]) * matrix(y[..., :, :])
Argumen:
- ruang lingkup: Objek Lingkup
- x: 2-D atau lebih tinggi dengan bentuk
[..., r_x, c_x]
. - y: 2-D atau lebih tinggi dengan bentuk
[..., r_y, c_y]
.
Atribut opsional (lihat Attrs
):
- adj_x: Jika
True
, satukan irisan x
. Defaultnya adalah False
. - adj_y: Jika
True
, satukan irisan y
. Defaultnya adalah False
.
Pengembalian:
-
Output
: 3-D atau lebih tinggi dengan bentuk [..., r_o, c_o]
Fungsi statis publik |
---|
AdjX (bool x) | |
AdjY (bool x) | |
Atribut publik
Fungsi publik
simpul
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Keluaran
operator::tensorflow::Output() const
Fungsi statis publik
AdjX
Attrs AdjX(
bool x
)
AdjY
Attrs AdjY(
bool x
)
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,["# tensorflow::ops::BatchMatMul Class Reference\n\ntensorflow::ops::BatchMatMul\n============================\n\n`#include \u003cmath_ops.h\u003e`\n\nMultiplies slices of two tensors in batches.\n\nSummary\n-------\n\nMultiplies all slices of [Tensor](/versions/r1.15/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor)`x` and `y` (each slice can be viewed as an element of a batch), and arranges the individual results in a single output tensor of the same batch size. Each of the individual slices can optionally be adjointed (to adjoint a matrix means to transpose and conjugate it) before multiplication by setting the `adj_x` or `adj_y` flag to `True`, which are by default `False`.\n\nThe input tensors `x` and `y` are 2-D or higher with shape `[..., r_x, c_x]` and `[..., r_y, c_y]`.\n\nThe output tensor is 2-D or higher with shape `[..., r_o, c_o]`, where: \n\n```scdoc\nr_o = c_x if adj_x else r_x\nc_o = r_y if adj_y else c_y\n```\n\n\u003cbr /\u003e\n\nIt is computed as: \n\n```scdoc\noutput[..., :, :] = matrix(x[..., :, :]) * matrix(y[..., :, :])\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: 2-D or higher with shape `[..., r_x, c_x]`.\n- y: 2-D or higher with shape `[..., r_y, c_y]`.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/batch-mat-mul/attrs#structtensorflow_1_1ops_1_1_batch_mat_mul_1_1_attrs)):\n\n- adj_x: If `True`, adjoint the slices of `x`. Defaults to `False`.\n- adj_y: If `True`, adjoint the slices of `y`. Defaults to `False`.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): 3-D or higher with shape `[..., r_o, c_o]`\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [BatchMatMul](#classtensorflow_1_1ops_1_1_batch_mat_mul_1a951cabca8c8dbcf8b746969d80f2b480)`(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)` y)` ||\n| [BatchMatMul](#classtensorflow_1_1ops_1_1_batch_mat_mul_1aec4aecf952592bd193eca45a9900ebe1)`(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)` y, const `[BatchMatMul::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/batch-mat-mul/attrs#structtensorflow_1_1ops_1_1_batch_mat_mul_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_batch_mat_mul_1a255c486fdefe3708a3355e3f85e8daf2) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_batch_mat_mul_1ad3a290bbf8589298ccf6cd5bf0018a53) | `::`[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_batch_mat_mul_1af21f279f44b701fb277af586e5f0dd69)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_batch_mat_mul_1aa6685ef6076abe41dc6d4f97156d77cb)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_batch_mat_mul_1a7d6d385af7d73a390e36ccc7e6989345)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------|\n| [AdjX](#classtensorflow_1_1ops_1_1_batch_mat_mul_1a47c8466020881eced6720f2f415053dd)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/batch-mat-mul/attrs#structtensorflow_1_1ops_1_1_batch_mat_mul_1_1_attrs) |\n| [AdjY](#classtensorflow_1_1ops_1_1_batch_mat_mul_1a3f939eb8aea098cdf431a3b626274e6b)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/batch-mat-mul/attrs#structtensorflow_1_1ops_1_1_batch_mat_mul_1_1_attrs) |\n\n| ### Structs ||\n|--------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::BatchMatMul::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/batch-mat-mul/attrs) | Optional attribute setters for [BatchMatMul](/versions/r1.15/api_docs/cc/class/tensorflow/ops/batch-mat-mul#classtensorflow_1_1ops_1_1_batch_mat_mul). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### output\n\n```text\n::tensorflow::Output output\n``` \n\nPublic functions\n----------------\n\n### BatchMatMul\n\n```gdscript\n BatchMatMul(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input x,\n ::tensorflow::Input y\n)\n``` \n\n### BatchMatMul\n\n```gdscript\n BatchMatMul(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input x,\n ::tensorflow::Input y,\n const BatchMatMul::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### AdjX\n\n```text\nAttrs AdjX(\n bool x\n)\n``` \n\n### AdjY\n\n```text\nAttrs AdjY(\n bool x\n)\n```"]]