Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
aliran tensor:: operasi:: SparseTensorDenseMatMul:: Attr
#include <sparse_ops.h>
Penyetel atribut opsional untuk SparseTensorDenseMatMul .
Ringkasan
Fungsi publik |
---|
AdjointA (bool x) | Gunakan adjoin A pada perkalian matriks. |
AdjointB (bool x) | Gunakan adjoin B pada perkalian matriks. |
Atribut publik
adjoint_a_
bool tensorflow::ops::SparseTensorDenseMatMul::Attrs::adjoint_a_ = false
adjoint_b_
bool tensorflow::ops::SparseTensorDenseMatMul::Attrs::adjoint_b_ = false
Fungsi publik
BerdampinganA
TF_MUST_USE_RESULT Attrs tensorflow::ops::SparseTensorDenseMatMul::Attrs::AdjointA(
bool x
)
Gunakan adjoin A pada perkalian matriks.
Jika A kompleks, maka transpose(conj(A)). Kalau tidak, itu transpose(A).
Defaultnya salah
BerdampinganB
TF_MUST_USE_RESULT Attrs tensorflow::ops::SparseTensorDenseMatMul::Attrs::AdjointB(
bool x
)
Gunakan adjoin B pada perkalian matriks.
Jika B kompleks, ini adalah transpose(conj(B)). Kalau tidak, itu transpose(B).
Defaultnya salah
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::SparseTensorDenseMatMul::Attrs Struct Reference\n\ntensorflow::ops::SparseTensorDenseMatMul::Attrs\n===============================================\n\n`#include \u003csparse_ops.h\u003e`\n\nOptional attribute setters for [SparseTensorDenseMatMul](/versions/r2.0/api_docs/cc/class/tensorflow/ops/sparse-tensor-dense-mat-mul#classtensorflow_1_1ops_1_1_sparse_tensor_dense_mat_mul).\n\nSummary\n-------\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------------------------------------------|--------|\n| [adjoint_a_](#structtensorflow_1_1ops_1_1_sparse_tensor_dense_mat_mul_1_1_attrs_1aba2e77bbaf2a86ba93f57ec7bc468e46)` = false` | `bool` |\n| [adjoint_b_](#structtensorflow_1_1ops_1_1_sparse_tensor_dense_mat_mul_1_1_attrs_1a9f87c8fcf81d584c6c4a76f3967a1a72)` = false` | `bool` |\n\n| ### Public functions ||\n|-----------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [AdjointA](#structtensorflow_1_1ops_1_1_sparse_tensor_dense_mat_mul_1_1_attrs_1a17b67c139195583cd837dd085a1fb0c1)`(bool x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/sparse-tensor-dense-mat-mul/attrs#structtensorflow_1_1ops_1_1_sparse_tensor_dense_mat_mul_1_1_attrs) Use the adjoint of A in the matrix multiply. |\n| [AdjointB](#structtensorflow_1_1ops_1_1_sparse_tensor_dense_mat_mul_1_1_attrs_1a6bb6e41a87b69ca9ff57673c31f6034a)`(bool x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/sparse-tensor-dense-mat-mul/attrs#structtensorflow_1_1ops_1_1_sparse_tensor_dense_mat_mul_1_1_attrs) Use the adjoint of B in the matrix multiply. |\n\nPublic attributes\n-----------------\n\n### adjoint_a_\n\n```scdoc\nbool tensorflow::ops::SparseTensorDenseMatMul::Attrs::adjoint_a_ = false\n``` \n\n### adjoint_b_\n\n```scdoc\nbool tensorflow::ops::SparseTensorDenseMatMul::Attrs::adjoint_b_ = false\n``` \n\nPublic functions\n----------------\n\n### AdjointA\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::SparseTensorDenseMatMul::Attrs::AdjointA(\n bool x\n)\n``` \nUse the adjoint of A in the matrix multiply.\n\nIf A is complex, this is transpose(conj(A)). Otherwise it's transpose(A).\n\nDefaults to false \n\n### AdjointB\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::SparseTensorDenseMatMul::Attrs::AdjointB(\n bool x\n)\n``` \nUse the adjoint of B in the matrix multiply.\n\nIf B is complex, this is transpose(conj(B)). Otherwise it's transpose(B).\n\nDefaults to false"]]