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aliran tensor:: operasi:: Komputasi AccidentalHits
#include <candidate_sampling_ops.h>
Menghitung id posisi di sampled_candidates yang cocok dengan true_labels.
Ringkasan
Saat melakukan log-odds NCE, hasil operasi ini harus diteruskan melalui operasi SparseToDense, lalu ditambahkan ke logit kandidat sampel. Hal ini memiliki efek 'menghapus' label sampel yang cocok dengan label sebenarnya dengan membuat pengklasifikasi yakin bahwa label tersebut adalah label sampel.
Argumen:
- ruang lingkup: Objek Lingkup
- true_classes: Keluaran true_classes dari UnpackSparseLabels.
- sampled_candidates: Keluaran sampled_candidates dari CandidateSampler.
- num_true: Jumlah label yang benar per konteks.
Atribut opsional (lihat Attrs
):
- seed: Jika salah satu seed atau seed2 disetel bukan nol, pembuat angka acak akan diunggulkan berdasarkan seed yang diberikan. Jika tidak, ia akan diunggulkan dengan benih acak.
- seed2: Seed kedua untuk menghindari tabrakan seed.
Pengembalian:
- Indeks
Output
: Vektor indeks yang sesuai dengan baris kandidat_benar. - Id
Output
: Vektor ID posisi dalam sampled_candidates yang cocok dengan label_benar untuk baris dengan indeks terkait dalam indeks. - Bobot
Output
: Vektor dengan panjang yang sama dengan indeks dan id, yang setiap elemennya adalah -FLOAT_MAX.
Fungsi statis publik |
---|
Seed (int64 x) | |
Seed2 (int64 x) | |
Atribut publik
Fungsi publik
Fungsi statis publik
Benih
Attrs Seed(
int64 x
)
Benih2
Attrs Seed2(
int64 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::ComputeAccidentalHits Class Reference\n\ntensorflow::ops::ComputeAccidentalHits\n======================================\n\n`#include \u003ccandidate_sampling_ops.h\u003e`\n\nComputes the ids of the positions in sampled_candidates that match true_labels.\n\nSummary\n-------\n\nWhen doing log-odds NCE, the result of this op should be passed through a SparseToDense op, then added to the logits of the sampled candidates. This has the effect of 'removing' the sampled labels that match the true labels by making the classifier sure that they are sampled labels.\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- true_classes: The true_classes output of UnpackSparseLabels.\n- sampled_candidates: The sampled_candidates output of CandidateSampler.\n- num_true: Number of true labels per context.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/compute-accidental-hits/attrs#structtensorflow_1_1ops_1_1_compute_accidental_hits_1_1_attrs)):\n\n- seed: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed.\n- seed2: An second seed to avoid seed collision.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) indices: A vector of indices corresponding to rows of true_candidates.\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) ids: A vector of IDs of positions in sampled_candidates that match a true_label for the row with the corresponding index in indices.\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) weights: A vector of the same length as indices and ids, in which each element is -FLOAT_MAX.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [ComputeAccidentalHits](#classtensorflow_1_1ops_1_1_compute_accidental_hits_1a4bad395ebe64ce16a3a939af5780fba8)`(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)` true_classes, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` sampled_candidates, int64 num_true)` ||\n| [ComputeAccidentalHits](#classtensorflow_1_1ops_1_1_compute_accidental_hits_1aab1a8827d014d52e454b58bff11c2bd0)`(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)` true_classes, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` sampled_candidates, int64 num_true, const `[ComputeAccidentalHits::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/compute-accidental-hits/attrs#structtensorflow_1_1ops_1_1_compute_accidental_hits_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [ids](#classtensorflow_1_1ops_1_1_compute_accidental_hits_1a1358bfad5b628af8856e417933559349) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [indices](#classtensorflow_1_1ops_1_1_compute_accidental_hits_1a30b8d0fdb8dea05a48830d9855d59c2f) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_compute_accidental_hits_1a3584a7d9cccec061e9e9e0127ca00682) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [weights](#classtensorflow_1_1ops_1_1_compute_accidental_hits_1ab5df3c291c46b6daab30792e03782778) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public static functions ||\n|------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Seed](#classtensorflow_1_1ops_1_1_compute_accidental_hits_1a21e671a41beda2c875664e18da16dee9)`(int64 x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/compute-accidental-hits/attrs#structtensorflow_1_1ops_1_1_compute_accidental_hits_1_1_attrs) |\n| [Seed2](#classtensorflow_1_1ops_1_1_compute_accidental_hits_1a382ee99a2ad217bea85674c232a253f0)`(int64 x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/compute-accidental-hits/attrs#structtensorflow_1_1ops_1_1_compute_accidental_hits_1_1_attrs) |\n\n| ### Structs ||\n|----------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ComputeAccidentalHits::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/compute-accidental-hits/attrs) | Optional attribute setters for [ComputeAccidentalHits](/versions/r1.15/api_docs/cc/class/tensorflow/ops/compute-accidental-hits#classtensorflow_1_1ops_1_1_compute_accidental_hits). |\n\nPublic attributes\n-----------------\n\n### ids\n\n```text\n::tensorflow::Output ids\n``` \n\n### indices\n\n```text\n::tensorflow::Output indices\n``` \n\n### operation\n\n```text\nOperation operation\n``` \n\n### weights\n\n```text\n::tensorflow::Output weights\n``` \n\nPublic functions\n----------------\n\n### ComputeAccidentalHits\n\n```gdscript\n ComputeAccidentalHits(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input true_classes,\n ::tensorflow::Input sampled_candidates,\n int64 num_true\n)\n``` \n\n### ComputeAccidentalHits\n\n```gdscript\n ComputeAccidentalHits(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input true_classes,\n ::tensorflow::Input sampled_candidates,\n int64 num_true,\n const ComputeAccidentalHits::Attrs & attrs\n)\n``` \n\nPublic static functions\n-----------------------\n\n### Seed\n\n```text\nAttrs Seed(\n int64 x\n)\n``` \n\n### Seed2\n\n```text\nAttrs Seed2(\n int64 x\n)\n```"]]