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Functions191 in github.com/TencentCloudADP/youtu-embedding

⨍ Functions 191◇ Types & classes 31
↓ 1 callersFunctionshouldBypass
(pathname: string)
docs/middleware.ts:23
↓ 1 callersFunctionyoutu_models_loader
(model_name_or_path, **kwargs)
evaluation/youtu_models.py:112
FunctionAuthorInfo
({ author, avatar, githubUsername, xUsername }: AuthorInfoProps)
docs/components/docs/AuthorInfo.tsx:12
FunctionAvatar
({ name, avatar, fallback, size = 48, }: { name?: string; avatar?: string; fallback: string; s
docs/components/home/LandingShowcase.tsx:46
FunctionClientComments
()
docs/components/docs/ClientComments.tsx:5
FunctionCustomDocsPage
({ children, authorInfo, ...props }: CustomDocsPageProps)
docs/components/docs/CustomDocsPage.tsx:9
FunctionGiscusComment
({ theme = 'noborder_light' }: GiscusCommentProps)
docs/components/docs/GiscusComment.tsx:11
FunctionGoogleAnalytics
()
docs/components/GoogleAnalytics.tsx:6
FunctionHomePage
({ params, }: { params: Promise<{ lang: string }>; })
docs/app/[lang]/(home)/page.tsx:244
FunctionI18nProvider
({ children, locale, translations }: I18nProviderProps)
docs/components/i18n-provider.tsx:26
FunctionLandingShowcase
({ copy, totalCount, categories, featured, rest, searchHref, }: LandingShowcaseProps)
docs/components/home/LandingShowcase.tsx:79
FunctionLanguageSwitcher
({ currentLocale, locales }: LanguageSwitcherProps)
docs/components/language-switcher.tsx:14
FunctionLayout
({ children }: { children: ReactNode })
docs/app/layout.tsx:42
FunctionLayout
({ children, params }: { children: ReactNode; params: Promise<{ lang: string }>; })
docs/app/docs/[lang]/layout.tsx:21
FunctionLayout
({ children, params }: { children: ReactNode; params: Promise<{ lang: string }>; })
docs/app/[lang]/layout.tsx:102
FunctionLayout
({ children, params }: { children: ReactNode; params: Promise<{ lang: string }> })
docs/app/[lang]/(home)/layout.tsx:14
FunctionMermaid
({ chart }: MermaidProps)
docs/components/mdx/mermaid.tsx:10
FunctionPage
({ params }: { params: Promise<{ slug?: string[]; lang: string }> })
docs/app/docs/[lang]/[[...slug]]/page.tsx:11
FunctionPictureInPicture
({ children }: PictureInPictureProps)
docs/components/docs/PictureInPicture.tsx:7
Method__call__
( self, q_reps: torch.Tensor, p_reps: torch.Tensor, y: Optional[torch.Tensor]
training/CoDiEmb/train/loss.py:36
Method__call__
(self, features)
training/CoDiEmb/train/data.py:251
Method__getitem__
(self, item: int)
training/CoDiEmb/train/data.py:98
Method__init__
Local embedding model with automatic device selection
test_transformers_local.py:8
Method__init__
(self, model_name_or_path, batch_size=128, max_length=1024,
test_transformers_online_macos.py:8
Method__init__
(self, model_name_or_path, batch_size=128, max_length=1024,
test_transformers_online_cuda.py:8
Method__init__
( self, model_object: torch.nn.Module = None, model_name_or_path: str = No
training/CoDiEmb/test/cmteb_dres_model.py:14
Method__init__
( self, task_type: str = "sts", threshold: float = 1.0, temperature: float = 1
training/CoDiEmb/train/loss.py:12
Method__init__
(self, negatives_cross_device: bool = False)
training/CoDiEmb/train/loss.py:139
Method__init__
( self, temperature: float = 0.05, negatives_cross_device: bool = False, redu
training/CoDiEmb/train/loss.py:179
Method__init__
(self, dataset, sampler, collate_fn)
training/CoDiEmb/train/run.py:405
Method__init__
(self)
training/CoDiEmb/train/utils.py:8
Method__init__
( self, dataset: torch.utils.data.Dataset, ds_lens: List[int], num_replicas: i
training/CoDiEmb/train/sampler.py:24
Method__init__
( self, dataset: torch.utils.data.Dataset, # Full dataset ds_lens: List[int], # Length
training/CoDiEmb/train/sampler.py:150
Method__init__
( self, dataset: torch.utils.data.Dataset, ds_lens: List[int], ds_types: List[
training/CoDiEmb/train/sampler.py:264
Method__init__
( self, dataset: Union[datasets.Dataset, List[datasets.Dataset]], args: DataArguments,
training/CoDiEmb/train/data.py:17
Method__init__
( self, model_name_or_path: str = None, pooling_method: str = 'mean', normaliz
training/CoDiEmb/train/model.py:24
Method__init__
(self, model_name_or_path, batch_size=128, max_length=1024,
usage/infer_llm_embedding.py:14
Method__iter__
(self)
training/CoDiEmb/train/run.py:411
Method__iter__
(self)
training/CoDiEmb/train/sampler.py:99
Method__iter__
(self)
training/CoDiEmb/train/sampler.py:213
Method__iter__
Returns a virtual index sequence with length equal to the current GPU's iteration count Ensures compatibility with Trainer
training/CoDiEmb/train/sampler.py:354
Method__len__
(self)
training/CoDiEmb/train/run.py:461
Method__len__
(self)
training/CoDiEmb/train/sampler.py:133
Method__len__
(self)
training/CoDiEmb/train/sampler.py:248
Method__len__
Returns the current GPU's iteration count
training/CoDiEmb/train/sampler.py:361
Method__len__
(self)
training/CoDiEmb/train/data.py:59
Method__post_init__
(self)
training/CoDiEmb/train/arguments.py:118
Method__post_init__
(self)
evaluation/run_mteb.py:203
Function_evaluate_subset
( self, retriever, corpus, queries, relevant_docs, hf_subset: str, **kwargs )
evaluation/run_mteb.py:63
Functionbroadcast_object
(object_)
training/CoDiEmb/train/utils.py:53
FunctioncloseDemo
()
docs/components/home/LandingShowcase.tsx:103
Functioncn
(...inputs: ClassValue[])
docs/lib/utils.ts:4
Functionconvert_types
(example)
training/CoDiEmb/train/run.py:65
FunctioncreatePictureInPicture
(content: ReactNode)
docs/components/docs/PictureInPicture.tsx:15
Methodencode
This function will be used for sts task
training/CoDiEmb/test/cmteb_dres_model.py:146
Methodencode_corpus
This function will be used for ir task
training/CoDiEmb/test/cmteb_dres_model.py:162
Methodencode_queries
This function will be used for ir task
training/CoDiEmb/test/cmteb_dres_model.py:154
Functionevaluate
( self, model, split: str = "test", subsets_to_run: list | None = None, *, encode_kwar
evaluation/run_mteb.py:25
Functionfilter_fn
(example)
training/CoDiEmb/train/run.py:37
Methodforward
(self, x: torch.Tensor, y: torch.Tensor)
training/CoDiEmb/train/loss.py:148
Methodforward
(self, predict_similarity: torch.Tensor, true_similarity: torch.Tensor)
training/CoDiEmb/train/loss.py:197
Methodforward
Calculates the PRO loss. Args: predict_similarity (torch.Tensor): A 1D tensor of predicted similarity sc
training/CoDiEmb/train/loss.py:255
Methodforward
( self, query: Dict[str, torch.Tensor] = None, passage: Dict[str, torch.Tensor] = None
training/CoDiEmb/train/model.py:139
FunctiongenerateMetadata
({ params }: { params: Promise<{ slug?: string[]; lang: string }> })
docs/app/docs/[lang]/[[...slug]]/page.tsx:83
FunctiongenerateMetadata
({ params }: { params: Promise<{ lang: string }> })
docs/app/[lang]/layout.tsx:40
FunctiongenerateStaticParams
()
docs/app/docs/[lang]/layout.tsx:10
FunctiongenerateStaticParams
()
docs/app/docs/[lang]/[[...slug]]/page.tsx:78
FunctiongenerateStaticParams
()
docs/app/[lang]/layout.tsx:12
FunctiongenerateStaticParams
()
docs/app/[lang]/(home)/page.tsx:8
FunctiongenerateStaticParams
()
docs/app/[lang]/(home)/layout.tsx:8
Functionget_model
(model_path: str, model_name: str, precision: str = 'fp16', **kwargs)
evaluation/run_mteb.py:225
Functionget_train_dataloader_with_dynamic_batch
(self)
training/CoDiEmb/train/run.py:391
Functionget_train_dataloader_with_mixed_sampler
(self)
training/CoDiEmb/train/run.py:360
Functionget_train_dataloader_with_single_sampler
(self)
training/CoDiEmb/train/run.py:330
Methodgradient_checkpointing_enable
(self, *args, **kwargs)
training/CoDiEmb/train/model.py:271
FunctioniconHandler
(icon: string | undefined)
docs/lib/source.ts:8
Functioninstruction_template
( instruction: str, prompt_type: PromptType | None = None )
evaluation/youtu_models.py:83
Methodis_local_main_process
(self)
training/CoDiEmb/train/utils.py:19
Methodis_main_process
(self)
training/CoDiEmb/train/utils.py:15
Methodlocal_main_process_first
(self)
training/CoDiEmb/train/utils.py:38
Methodmain_process_first
(self)
training/CoDiEmb/train/utils.py:34
Functionmiddleware
(request: NextRequest)
docs/middleware.ts:45
FunctionresolveDocsUrl
(slugs: string[], locale?: string)
docs/lib/source.ts:18
FunctionsegmentFormatter
(segment: string)
docs/app/[lang]/(home)/page.tsx:97
Functionsequential_execution
(closure, time_to_wait=-1)
training/CoDiEmb/train/utils.py:58
Functionset_epoch
(epoch)
training/CoDiEmb/train/run.py:350
Methodset_epoch
(self, epoch: int)
training/CoDiEmb/train/sampler.py:76
Methodset_epoch
r""" Sets the epoch for this sampler. When :attr:`shuffle=True` (which is implicit in this sampler's design), this ensures all replica
training/CoDiEmb/train/sampler.py:251
Methodset_epoch
(self, epoch: int)
training/CoDiEmb/train/sampler.py:351
Functionsitemap
()
docs/app/sitemap.ts:27
Functiontraining_step
Perform a training step on a batch of inputs. Subclass and override to inject custom behavior. Args: model (`nn
training/CoDiEmb/train/run.py:486
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