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Types & classes452 in github.com/Feng-Hong/WINO-DLLM

↓ 38 callersClassBleu
Compute BLEU score, using SacreBLEU.
MMaDA/lmms_eval/lmms_eval/tasks/megabench/metrics/scoring/sacrebleu_bleu.py:6
↓ 13 callersClassKeywordsStoppingCriteria
MMaDA/lmms_eval/lmms_eval/models/video_chatgpt/model/utils.py:7
↓ 9 callersClassLayerNormFp32
Subclass torch's LayerNorm to handle fp16 (by casting to float32 and back).
MMaDA/lmms_eval/lmms_eval/models/mplug_owl_video/modeling_mplug_owl.py:162
↓ 8 callersClassTextNorm
MMaDA/lmms_eval/lmms_eval/tasks/librispeech/cn_tn.py:1035
↓ 7 callersClassBasicTextNormalizer
MMaDA/lmms_eval/lmms_eval/tasks/gigaspeech/whisper_normalizer/basic.py:42
↓ 7 callersClassEnglishTextNormalizer
MMaDA/lmms_eval/lmms_eval/tasks/gigaspeech/whisper_normalizer/english.py:444
↓ 6 callersClassResnetBlock
MMaDA/lmms_eval/lmms_eval/models/model_mmada/common_modules.py:298
↓ 6 callersClassResnetBlock
MMaDA/models/common_modules.py:298
↓ 5 callersClassCardinal
CARDINAL类
MMaDA/lmms_eval/lmms_eval/tasks/librispeech/cn_tn.py:730
↓ 5 callersClassMMBench_Evaluator
MMaDA/lmms_eval/lmms_eval/tasks/mmbench/mmbench_evals.py:15
↓ 4 callersClassAttnBlock
MMaDA/lmms_eval/lmms_eval/models/model_mmada/common_modules.py:168
↓ 4 callersClassAttnBlock
MMaDA/models/common_modules.py:168
↓ 4 callersClassChineseNumberUnit
中文数字/数位字符 每个字符除繁简体外还有一个额外的大写字符 e.g. '陆' 和 '陸'
MMaDA/lmms_eval/lmms_eval/tasks/librispeech/cn_tn.py:414
↓ 4 callersClassConversation
A class that keeps all conversation history.
MMaDA/lmms_eval/lmms_eval/models/video_chatgpt/video_conversation.py:17
↓ 4 callersClassEvalAIAnswerProcessor
Processes an answer similar to Eval AI copied from https://github.com/facebookresearch/mmf/blob/c46b3b3391275b4181567db80943473a8
MMaDA/lmms_eval/lmms_eval/tasks/_task_utils/vqa_eval_metric.py:4
↓ 3 callersClassFraction
FRACTION类
MMaDA/lmms_eval/lmms_eval/tasks/librispeech/cn_tn.py:791
↓ 3 callersClassInstance
MMaDA/lmms_eval/lmms_eval/api/instance.py:6
↓ 3 callersClassTEDS
Tree Edit Distance basead Similarity
MMaDA/lmms_eval/lmms_eval/tasks/ocrbench_v2/TEDS_metric.py:73
↓ 3 callersClassTaskConfig
MMaDA/lmms_eval/lmms_eval/api/task.py:68
↓ 3 callersClassTaskManager
TaskManager indexes all tasks from the default `lmms_eval/tasks/` and an optional directory if provided.
MMaDA/lmms_eval/lmms_eval/tasks/__init__.py:19
↓ 2 callersClassCacheHook
MMaDA/lmms_eval/lmms_eval/api/model.py:136
↓ 2 callersClassCausalConv3d
MMaDA/lmms_eval/lmms_eval/models/model_mmada/common_modules.py:239
↓ 2 callersClassCausalConv3d
MMaDA/models/common_modules.py:239
↓ 2 callersClassConfigurableGroup
MMaDA/lmms_eval/lmms_eval/api/group.py:76
↓ 2 callersClassDigit
DIGIT类
MMaDA/lmms_eval/lmms_eval/tasks/librispeech/cn_tn.py:746
↓ 2 callersClassDropout
LLaDA/modeling_llada.py:200
↓ 2 callersClassDropout
MMaDA/lmms_eval/lmms_eval/models/model_mmada/modeling_llada.py:200
↓ 2 callersClassDropout
MMaDA/models/modeling_llada.py:200
↓ 2 callersClassEvaluationTokenizer
MMaDA/lmms_eval/lmms_eval/tasks/covost2/utils.py:111
↓ 2 callersClassEvaluator
MMaDA/lmms_eval/lmms_eval/tasks/capability/utils.py:172
↓ 2 callersClassEvaluator
MMaDA/lmms_eval/lmms_eval/tasks/multidocvqa/utils.py:66
↓ 2 callersClassGroupConfig
MMaDA/lmms_eval/lmms_eval/api/group.py:24
↓ 2 callersClassLayerNorm
The default :class:`LayerNorm` implementation which can optionally run in low precision.
LLaDA/modeling_llada.py:269
↓ 2 callersClassLayerNorm
The default :class:`LayerNorm` implementation which can optionally run in low precision.
MMaDA/lmms_eval/lmms_eval/models/model_mmada/modeling_llada.py:269
↓ 2 callersClassLayerNorm
The default :class:`LayerNorm` implementation which can optionally run in low precision.
MMaDA/models/modeling_llada.py:269
↓ 2 callersClassLexicalAnalyzer
MMaDA/lmms_eval/lmms_eval/tasks/mmsearch/retrieve_content/tokenization/tokenizers.py:37
↓ 2 callersClassModelConfig
LLaDA (model) configuration.
LLaDA/configuration_llada.py:130
↓ 2 callersClassModelConfig
LLaDA (model) configuration.
MMaDA/lmms_eval/lmms_eval/models/model_mmada/configuration_llada.py:130
↓ 2 callersClassModelConfig
LLaDA (model) configuration.
MMaDA/models/configuration_llada.py:130
↓ 2 callersClassMplugOwlVisionConfig
r""" This is the configuration class to store the configuration of a [`MplugOwlVisionModel`]. It is used to instantiate a mPLUG-Owl vision
MMaDA/lmms_eval/lmms_eval/models/mplug_owl_video/configuration_mplug_owl.py:31
↓ 2 callersClassMplugOwlVisionModel
MMaDA/lmms_eval/lmms_eval/models/mplug_owl_video/modeling_mplug_owl.py:641
↓ 2 callersClassMplugOwlVisualAbstractorModel
MMaDA/lmms_eval/lmms_eval/models/mplug_owl_video/modeling_mplug_owl.py:990
↓ 2 callersClassOlympiadBenchEvaluator
MMaDA/lmms_eval/lmms_eval/tasks/olympiadbench/olympiadbench_evals.py:21
↓ 2 callersClassOutputExample
MMaDA/lmms_eval/lmms_eval/tasks/ifeval/utils.py:17
↓ 2 callersClassQuickGELU
MMaDA/lmms_eval/lmms_eval/models/mplug_owl_video/modeling_mplug_owl.py:179
↓ 2 callersClassResponseParseType
Parse the response.
MMaDA/lmms_eval/lmms_eval/tasks/megabench/metrics/response_parse_type.py:13
↓ 2 callersClassTableTree
MMaDA/lmms_eval/lmms_eval/tasks/ocrbench_v2/TEDS_metric.py:34
↓ 2 callersClassTelePhone
TELEPHONE类
MMaDA/lmms_eval/lmms_eval/tasks/librispeech/cn_tn.py:762
↓ 2 callersClassVQGANEncoder
MMaDA/lmms_eval/lmms_eval/models/model_mmada/modeling_magvitv2.py:48
↓ 2 callersClassVQGANEncoder
MMaDA/models/modeling_magvitv2.py:48
↓ 1 callersClassAggMetricConfig
MMaDA/lmms_eval/lmms_eval/api/group.py:8
↓ 1 callersClassAsciiArtVLMJudger
A GPT-4o judge for assessing if two ASCII art images depict the same thing.
MMaDA/lmms_eval/lmms_eval/tasks/megabench/metrics/scoring/ascii_art_vlm_judge.py:10
↓ 1 callersClassBasicTextNormalizer
MMaDA/lmms_eval/lmms_eval/tasks/librispeech/whisper_normalizer/basic.py:42
↓ 1 callersClassBufferCache
Cache for attention biases and other things that would normally be stored as buffers. We avoid using buffers because we've run into various i
LLaDA/modeling_llada.py:182
↓ 1 callersClassBufferCache
Cache for attention biases and other things that would normally be stored as buffers. We avoid using buffers because we've run into various
MMaDA/lmms_eval/lmms_eval/models/model_mmada/modeling_llada.py:182
↓ 1 callersClassBufferCache
Cache for attention biases and other things that would normally be stored as buffers. We avoid using buffers because we've run into various
MMaDA/models/modeling_llada.py:182
↓ 1 callersClassChineseNumberDigit
中文数字字符
MMaDA/lmms_eval/lmms_eval/tasks/librispeech/cn_tn.py:444
↓ 1 callersClassCodeTester
MMaDA/lmms_eval/lmms_eval/tasks/megabench/metrics/scoring/program_judge.py:30
↓ 1 callersClassConfig
MMaDA/lmms_eval/lmms_eval/tasks/mmsearch/retrieve_content/retriever.py:13
↓ 1 callersClassConfigurableTask
MMaDA/lmms_eval/lmms_eval/api/task.py:673
↓ 1 callersClassContent_Retriever
MMaDA/lmms_eval/lmms_eval/tasks/mmsearch/retrieve_content/retriever.py:20
↓ 1 callersClassCustomConfig
MMaDA/lmms_eval/lmms_eval/tasks/ocrbench_v2/TEDS_metric.py:53
↓ 1 callersClassDDGSQueryRun
MMaDA/lmms_eval/lmms_eval/tasks/mmsearch/utils/utils.py:100
↓ 1 callersClassDate
DATE类
MMaDA/lmms_eval/lmms_eval/tasks/librispeech/cn_tn.py:809
↓ 1 callersClassDomain
MMaDA/lmms_eval/lmms_eval/tasks/megabench/metrics/scoring/symbolic_planning.py:113
↓ 1 callersClassDownsample
MMaDA/lmms_eval/lmms_eval/models/model_mmada/common_modules.py:73
↓ 1 callersClassDownsample
MMaDA/models/common_modules.py:73
↓ 1 callersClassEmptyTqdm
Dummy tqdm which doesn't do anything.
MMaDA/lmms_eval/lmms_eval/models/model_mmada/logging.py:279
↓ 1 callersClassEmptyTqdm
Dummy tqdm which doesn't do anything.
MMaDA/models/logging.py:279
↓ 1 callersClassEnglishNumberNormalizer
Convert any spelled-out numbers into arabic numbers, while handling: - remove any commas - keep the suffixes such as: `1960s`, `274th`,
MMaDA/lmms_eval/lmms_eval/tasks/gigaspeech/whisper_normalizer/english.py:12
↓ 1 callersClassEnglishNumberNormalizer
Convert any spelled-out numbers into arabic numbers, while handling: - remove any commas - keep the suffixes such as: `1960s`, `274th`,
MMaDA/lmms_eval/lmms_eval/tasks/librispeech/whisper_normalizer/english.py:12
↓ 1 callersClassEnglishSpellingNormalizer
Applies British-American spelling mappings as listed in [1]. [1] https://www.tysto.com/uk-us-spelling-list.html
MMaDA/lmms_eval/lmms_eval/tasks/gigaspeech/whisper_normalizer/english.py:429
↓ 1 callersClassEnglishSpellingNormalizer
Applies British-American spelling mappings as listed in [1]. [1] https://www.tysto.com/uk-us-spelling-list.html
MMaDA/lmms_eval/lmms_eval/tasks/librispeech/whisper_normalizer/english.py:429
↓ 1 callersClassEnglishTextNormalizer
MMaDA/lmms_eval/lmms_eval/tasks/librispeech/whisper_normalizer/english.py:444
↓ 1 callersClassEvaluationTokenizer
A generic evaluation-time tokenizer, which leverages built-in tokenizers in sacreBLEU (https://github.com/mjpost/sacrebleu). It additionally provi
MMaDA/lmms_eval/lmms_eval/tasks/common_voice_15/utils.py:64
↓ 1 callersClassEvaluationTokenizer
A generic evaluation-time tokenizer, which leverages built-in tokenizers in sacreBLEU (https://github.com/mjpost/sacrebleu). It additionally provi
MMaDA/lmms_eval/lmms_eval/tasks/gigaspeech/utils.py:66
↓ 1 callersClassEvaluationTokenizer
A generic evaluation-time tokenizer, which leverages built-in tokenizers in sacreBLEU (https://github.com/mjpost/sacrebleu). It additionally provi
MMaDA/lmms_eval/lmms_eval/tasks/people_speech/utils.py:64
↓ 1 callersClassEvaluationTokenizer
A generic evaluation-time tokenizer, which leverages built-in tokenizers in sacreBLEU (https://github.com/mjpost/sacrebleu). It additionally provi
MMaDA/lmms_eval/lmms_eval/tasks/tedlium/utils.py:64
↓ 1 callersClassEvaluationTokenizer
A generic evaluation-time tokenizer, which leverages built-in tokenizers in sacreBLEU (https://github.com/mjpost/sacrebleu). It additionally provi
MMaDA/lmms_eval/lmms_eval/tasks/fleurs/utils.py:173
↓ 1 callersClassEvaluationTokenizer
A generic evaluation-time tokenizer, which leverages built-in tokenizers in sacreBLEU (https://github.com/mjpost/sacrebleu). It additionally provi
MMaDA/lmms_eval/lmms_eval/tasks/librispeech/utils.py:75
↓ 1 callersClassEvaluationTokenizer
A generic evaluation-time tokenizer, which leverages built-in tokenizers in sacreBLEU (https://github.com/mjpost/sacrebleu). It additionally provi
MMaDA/lmms_eval/lmms_eval/tasks/open_asr/utils.py:62
↓ 1 callersClassEvaluationTracker
Keeps track and saves relevant information of the evaluation process. Compiles the data from trackers and writes it to files, which can be pu
MMaDA/lmms_eval/lmms_eval/loggers/evaluation_tracker.py:101
↓ 1 callersClassExample
An example loaded from vibe-eval, stored as jsonl in the repo.
MMaDA/lmms_eval/lmms_eval/tasks/vibe_eval/utils.py:75
↓ 1 callersClassFilterEnsemble
FilterEnsemble creates a pipeline applying multiple filters. Its intended usage is to stack multiple post-processing steps in order. `tas
MMaDA/lmms_eval/lmms_eval/api/filter.py:34
↓ 1 callersClassGELU
LLaDA/modeling_llada.py:464
↓ 1 callersClassGELU
MMaDA/lmms_eval/lmms_eval/models/model_mmada/modeling_llada.py:464
↓ 1 callersClassGELU
MMaDA/models/modeling_llada.py:464
↓ 1 callersClassGPT4oJudge
MMaDA/lmms_eval/lmms_eval/tasks/videoevalpro/utils.py:55
↓ 1 callersClassGemmaRMSLayerNorm
Gemma RMS layer norm, a simplified :class:`LayerNorm` implementation
LLaDA/modeling_llada.py:332
↓ 1 callersClassGemmaRMSLayerNorm
Gemma RMS layer norm, a simplified :class:`LayerNorm` implementation
MMaDA/lmms_eval/lmms_eval/models/model_mmada/modeling_llada.py:332
↓ 1 callersClassGemmaRMSLayerNorm
Gemma RMS layer norm, a simplified :class:`LayerNorm` implementation
MMaDA/models/modeling_llada.py:332
↓ 1 callersClassGeneralConfigTracker
Tracker for the evaluation parameters. Attributes: model_source (str): Source of the model (e.g. Hugging Face, GGUF, etc.) m
MMaDA/lmms_eval/lmms_eval/loggers/evaluation_tracker.py:32
↓ 1 callersClassHRBenchEval
MMaDA/lmms_eval/lmms_eval/tasks/hrbench/hrbench_evals.py:13
↓ 1 callersClassInputExample
MMaDA/lmms_eval/lmms_eval/tasks/ifeval/utils.py:9
↓ 1 callersClassJSONParseEvaluator
Calculate n-TED(Normalized Tree Edit Distance) based accuracy and F1 accuracy score
MMaDA/lmms_eval/lmms_eval/tasks/synthdog/donut_evaluator.py:21
↓ 1 callersClassLFQuantizer
MMaDA/lmms_eval/lmms_eval/models/model_mmada/modeling_magvitv2.py:172
↓ 1 callersClassLFQuantizer
MMaDA/models/modeling_magvitv2.py:172
↓ 1 callersClassLLaDABlockGroup
LLaDA/modeling_llada.py:984
↓ 1 callersClassLLaDABlockGroup
MMaDA/lmms_eval/lmms_eval/models/model_mmada/modeling_llada.py:984
↓ 1 callersClassLLaDABlockGroup
MMaDA/models/modeling_llada.py:984
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