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Functions4,510 in github.com/Feng-Hong/WINO-DLLM

⨍ Functions 4,510◇ Types & classes 452↳ Endpoints 18
↓ 3 callersMethodprocess_punctuation
(self, in_text)
MMaDA/lmms_eval/lmms_eval/tasks/_task_utils/vqa_eval_metric.py:183
↓ 3 callersFunctionprocess_triplets
(triplets)
MMaDA/lmms_eval/lmms_eval/tasks/ocrbench_v2/TEDS_metric.py:687
↓ 3 callersFunctionrecord_video_length_packet
(container)
MMaDA/lmms_eval/lmms_eval/models/model_utils/load_video.py:39
↓ 3 callersFunctionremove_stop
(sentence)
MMaDA/lmms_eval/lmms_eval/tasks/nextqa/utils.py:147
↓ 3 callersFunctionsafe_strip
(x)
MMaDA/lmms_eval/lmms_eval/tasks/videoevalpro/utils.py:92
↓ 3 callersMethodset_activation_checkpointing
(self, strategy: Optional[ActivationCheckpointingStrategy])
LLaDA/modeling_llada.py:608
↓ 3 callersMethodset_activation_checkpointing
(self, strategy: Optional[ActivationCheckpointingStrategy])
MMaDA/lmms_eval/lmms_eval/models/model_mmada/modeling_llada.py:608
↓ 3 callersMethodset_activation_checkpointing
(self, strategy: Optional[ActivationCheckpointingStrategy])
MMaDA/models/modeling_llada.py:608
↓ 3 callersMethodset_config
Set or update the configuration for a given key.
MMaDA/lmms_eval/lmms_eval/api/task.py:612
↓ 3 callersFunctionset_relevance_score
Calculate the relevance score.
MMaDA/lmms_eval/lmms_eval/tasks/megabench/metrics/scoring/common/metrics.py:43
↓ 3 callersMethodset_use_memory_efficient_attention_xformers
( self, valid: bool, attention_op: Optional[Callable] = None )
MMaDA/lmms_eval/lmms_eval/models/model_mmada/modeling_utils.py:211
↓ 3 callersMethodset_use_memory_efficient_attention_xformers
( self, valid: bool, attention_op: Optional[Callable] = None )
MMaDA/models/modeling_utils.py:211
↓ 3 callersMethodset_use_npu_flash_attention
r""" Set the switch for the npu flash attention.
MMaDA/lmms_eval/lmms_eval/models/model_mmada/modeling_utils.py:181
↓ 3 callersMethodset_use_npu_flash_attention
r""" Set the switch for the npu flash attention.
MMaDA/models/modeling_utils.py:181
↓ 3 callersFunctionsimple_parse_args_string
Parses something like args1=val1,arg2=val2 Into a dictionary
MMaDA/lmms_eval/lmms_eval/utils.py:117
↓ 3 callersFunctionsplit_audio
Splits the audio into chunks of a given length. Args: audio_arrays: The audio array to split. chunk_lim: The length of ea
MMaDA/lmms_eval/lmms_eval/models/model_utils/audio_processing.py:12
↓ 3 callersMethodtranspose_for_scores
(self, x)
MMaDA/lmms_eval/lmms_eval/models/mplug_owl_video/modeling_mplug_owl.py:759
↓ 3 callersFunctionvibe_aggregation_results
(results, category)
MMaDA/lmms_eval/lmms_eval/tasks/vibe_eval/utils.py:193
↓ 3 callersFunctionworldqa_aggregate_submissions
(results, args, task)
MMaDA/lmms_eval/lmms_eval/tasks/worldqa/utils.py:197
↓ 2 callersFunctionHD_transform_no_padding
(frames, image_size=224, hd_num=6, fix_ratio=(2, 1))
MMaDA/lmms_eval/lmms_eval/models/internvideo2.py:170
↓ 2 callersFunctionHD_transform_no_padding
(frames, image_size=224, hd_num=6, fix_ratio=(2, 1))
MMaDA/lmms_eval/lmms_eval/models/videochat2.py:167
↓ 2 callersMethod__init__
(self, vision_config=None, visual_abstractor_config=None, text_config=None, num_query_tokens=64, **kwargs)
MMaDA/lmms_eval/lmms_eval/models/mplug_owl_video/configuration_mplug_owl.py:215
↓ 2 callersMethod__init__
(self)
MMaDA/lmms_eval/lmms_eval/models/video_chatgpt/model/video_chatgpt.py:25
↓ 2 callersMethod_analyze_text
(self, text: str, analyzer: callable, offset: int = 0)
MMaDA/lmms_eval/lmms_eval/tasks/mmsearch/retrieve_content/tokenization/tokenizers.py:166
↓ 2 callersMethod_build_metric
Given a string for the metric (e.g. 'exact_str_match'), return the actual MetricType or a specialized metric class.
MMaDA/lmms_eval/lmms_eval/tasks/megabench/evaluator.py:344
↓ 2 callersFunction_check_media_type
(doc, return_media=False)
MMaDA/lmms_eval/lmms_eval/tasks/megabench/utils.py:32
↓ 2 callersMethod_config_is_python_task
(self, config)
MMaDA/lmms_eval/lmms_eval/tasks/__init__.py:197
↓ 2 callersMethod_config_is_task
(self, config)
MMaDA/lmms_eval/lmms_eval/tasks/__init__.py:187
↓ 2 callersMethod_convert_deprecated_attention_blocks
(self, state_dict: OrderedDict)
MMaDA/lmms_eval/lmms_eval/models/model_mmada/modeling_utils.py:1062
↓ 2 callersMethod_convert_deprecated_attention_blocks
(self, state_dict: OrderedDict)
MMaDA/models/modeling_utils.py:1062
↓ 2 callersMethod_evaluate_field
Compute score for a single field using the given metric.
MMaDA/lmms_eval/lmms_eval/tasks/megabench/evaluator.py:251
↓ 2 callersMethod_generate_dataset
Generate a dataset from evaluation data. Args: data (List[Dict[str, Any]]): The data to generate a dataset for. confi
MMaDA/lmms_eval/lmms_eval/logging_utils.py:241
↓ 2 callersMethod_generate_dataset
Generate a dataset from evaluation data. Args: data (List[Dict[str, Any]]): The data to generate a dataset for. confi
MMaDA/lmms_eval/lmms_eval/loggers/wandb_logger.py:182
↓ 2 callersMethod_generate_nonoverlapping_excerpts
(self, analyzed_sentences: List[List[LexemeWithPositions]])
MMaDA/lmms_eval/lmms_eval/tasks/mmsearch/retrieve_content/tokenization/tokenizers.py:100
↓ 2 callersFunction_get_library_name
()
MMaDA/lmms_eval/lmms_eval/models/model_mmada/logging.py:65
↓ 2 callersFunction_get_library_name
()
MMaDA/models/logging.py:65
↓ 2 callersMethod_load_json
(file_path: str)
MMaDA/lmms_eval/lmms_eval/tasks/megabench/evaluator.py:357
↓ 2 callersMethod_log_samples_as_artifact
(self, data: List[Dict[str, Any]], task_name: str)
MMaDA/lmms_eval/lmms_eval/logging_utils.py:307
↓ 2 callersMethod_log_samples_as_artifact
(self, data: List[Dict[str, Any]], task_name: str)
MMaDA/lmms_eval/lmms_eval/loggers/wandb_logger.py:252
↓ 2 callersMethod_name_is_task
(self, name)
MMaDA/lmms_eval/lmms_eval/tasks/__init__.py:167
↓ 2 callersFunction_normalize_str
(string)
MMaDA/lmms_eval/lmms_eval/tasks/websrc/utils.py:121
↓ 2 callersMethod_preprocess_str
(self, string)
MMaDA/lmms_eval/lmms_eval/tasks/multidocvqa/utils.py:84
↓ 2 callersMethod_reorder
Reorders the elements in the array based on the sorting function. Parameters: - arr (Union[List, Tuple[Tuple[int, Any], ...]
MMaDA/lmms_eval/lmms_eval/utils.py:913
↓ 2 callersMethod_resize_image
(self, image)
MMaDA/lmms_eval/lmms_eval/tasks/megabench/metrics/scoring/vlm_as_judge.py:73
↓ 2 callersMethod_rgba_to_rgb
(image)
MMaDA/lmms_eval/lmms_eval/tasks/megabench/metrics/scoring/vlm_as_judge.py:69
↓ 2 callersMethod_save_results
Safe-write a JSON file via temp file + replace. Since the results file is long, this avoid breaking the file in case of a crash.
MMaDA/lmms_eval/lmms_eval/tasks/megabench/evaluator.py:362
↓ 2 callersFunction_sort_task_dict
Helper utility. Sorts the task dict at the current level of the hierarchy based on alphabetized task name. Required so that we end up
MMaDA/lmms_eval/lmms_eval/evaluator_utils.py:217
↓ 2 callersFunction_split_analyzed_text_to_nonoverlapping_excerpts
(analyzed_lexemes: List[LexemeWithPositions], excerpt_len: int)
MMaDA/lmms_eval/lmms_eval/tasks/mmsearch/retrieve_content/tokenization/tokenizers.py:265
↓ 2 callersFunction_to_float
(text: str)
MMaDA/lmms_eval/lmms_eval/tasks/chartqa/utils.py:46
↓ 2 callersFunction_tokenize
(text)
MMaDA/lmms_eval/lmms_eval/tasks/websrc/utils.py:130
↓ 2 callersFunctionadd_gumbel_noise
The Gumbel max is a method for sampling categorical distributions. According to arXiv:2409.02908, for MDM, low-precision Gumbel Max improves
LLaDA/decoding.py:98
↓ 2 callersFunctionadd_order_label
(image, label, font_size=40)
MMaDA/lmms_eval/lmms_eval/tasks/mmvetv2/utils.py:14
↓ 2 callersFunctionadd_order_label
(image, label, font_size=40)
MMaDA/lmms_eval/lmms_eval/tasks/mmmu/utils_group_img.py:15
↓ 2 callersMethodaggregation
:returns: {str: [metric_score] -> float} A dictionary where keys are the names of submetrics and values are functions
MMaDA/lmms_eval/lmms_eval/api/task.py:520
↓ 2 callersMethodanalyze
(self, text: str, offset: int = 0)
MMaDA/lmms_eval/lmms_eval/tasks/mmsearch/retrieve_content/tokenization/tokenizers.py:149
↓ 2 callersMethodanswer
(self, conv, img_list, do_sample=True, max_new_tokens=200, num_beams=1, min_length=1, top_p=0.9, repetition_pe
MMaDA/lmms_eval/lmms_eval/models/videochat2.py:404
↓ 2 callersMethodapply_rotary_pos_emb
(self, pos_sin: torch.Tensor, pos_cos: torch.Tensor, t: torch.Tensor)
LLaDA/modeling_llada.py:408
↓ 2 callersMethodapply_rotary_pos_emb
(self, pos_sin: torch.Tensor, pos_cos: torch.Tensor, t: torch.Tensor)
MMaDA/lmms_eval/lmms_eval/models/model_mmada/modeling_llada.py:408
↓ 2 callersMethodapply_rotary_pos_emb
(self, pos_sin: torch.Tensor, pos_cos: torch.Tensor, t: torch.Tensor)
MMaDA/models/modeling_llada.py:408
↓ 2 callersFunctionapproximate
Return an approximation of the original string.
MMaDA/lmms_eval/lmms_eval/tasks/megabench/metrics/scoring/near_str_match.py:6
↓ 2 callersFunctionascii_text_to_image
Convert ASCII text into an image.
MMaDA/lmms_eval/lmms_eval/tasks/megabench/metrics/scoring/common/conversions.py:197
↓ 2 callersMethodask
(self, text, conv)
MMaDA/lmms_eval/lmms_eval/models/videochat2.py:401
↓ 2 callersFunctionassign_correctness
(data_arr, correctness_entry)
MMaDA/lmms_eval/lmms_eval/tasks/hallusion_bench/utils.py:164
↓ 2 callersMethodattention
( self, q: torch.Tensor, k: torch.Tensor, v: torch.Tensor, # attention
LLaDA/modeling_llada.py:668
↓ 2 callersMethodattention
( self, q: torch.Tensor, k: torch.Tensor, v: torch.Tensor, # atte
MMaDA/models/modeling_llada.py:668
↓ 2 callersFunctionbox_area
(box)
MMaDA/lmms_eval/lmms_eval/tasks/megabench/metrics/scoring/common/metrics.py:9
↓ 2 callersMethodbuild_choices
(self, item)
MMaDA/lmms_eval/lmms_eval/tasks/mmupd/mmupd_evals.py:134
↓ 2 callersMethodbuild_choices
(self, item)
MMaDA/lmms_eval/lmms_eval/tasks/mmbench/mmbench_evals.py:52
↓ 2 callersFunctionbuild_transform
(input_size)
MMaDA/lmms_eval/lmms_eval/models/internvideo2_5.py:33
↓ 2 callersFunctionbuild_transform
(input_size)
MMaDA/lmms_eval/lmms_eval/models/minimonkey.py:231
↓ 2 callersFunctioncalculate_average_score
(categories)
MMaDA/lmms_eval/lmms_eval/tasks/ocrbench_v2/utils.py:371
↓ 2 callersFunctioncalculate_binary_score
(result)
MMaDA/lmms_eval/lmms_eval/tasks/naturalbench/utils.py:73
↓ 2 callersFunctioncalculate_group_score
(result)
MMaDA/lmms_eval/lmms_eval/tasks/naturalbench/utils.py:88
↓ 2 callersMethodcalculate_hit_rates
(self, data)
MMaDA/lmms_eval/lmms_eval/tasks/mmupd/mmupd_evals.py:497
↓ 2 callersFunctioncalculate_ins_level_acc
(results)
MMaDA/lmms_eval/lmms_eval/tasks/videommmu/utils.py:224
↓ 2 callersFunctioncalculate_ins_level_acc
Calculate the instruction level accuracy for given Subject results https://github.com/MMMU-Benchmark/MMMU/blob/51ce7f3e829c16bb44bc5445782686b4c35
MMaDA/lmms_eval/lmms_eval/tasks/qbench/utils.py:140
↓ 2 callersFunctioncalculate_ins_level_acc
(results)
MMaDA/lmms_eval/lmms_eval/tasks/cmmmu/utils.py:412
↓ 2 callersFunctioncalculate_ins_level_acc
Calculate the instruction level accuracy for given Subject results https://github.com/MMMU-Benchmark/MMMU/blob/51ce7f3e829c16bb44bc5445782686b4c35
MMaDA/lmms_eval/lmms_eval/tasks/jmmmu/utils.py:145
↓ 2 callersFunctioncalculate_ins_level_acc
Calculate the instruction level accuracy for given Subject results https://github.com/MMMU-Benchmark/MMMU/blob/51ce7f3e829c16bb44bc5445782686b4c35
MMaDA/lmms_eval/lmms_eval/tasks/mmmu_pro/utils.py:148
↓ 2 callersFunctioncalculate_ins_level_acc
Calculate the instruction level accuracy for given Subject results https://github.com/MMMU-Benchmark/MMMU/blob/51ce7f3e829c16bb44bc5445782686b4c35
MMaDA/lmms_eval/lmms_eval/tasks/mmmu/utils.py:264
↓ 2 callersFunctioncalculate_ins_level_acc
Calculate the instruction level accuracy for given Subject results https://github.com/MMMU-Benchmark/MMMU/blob/51ce7f3e829c16bb44bc5445782686b4c35
MMaDA/lmms_eval/lmms_eval/tasks/mmmu/utils_group_img.py:256
↓ 2 callersMethodcalculate_metric
(self, score_dict)
MMaDA/lmms_eval/lmms_eval/tasks/capability/utils.py:576
↓ 2 callersFunctioncalculate_stats
(tasks)
MMaDA/lmms_eval/lmms_eval/tasks/megabench/breakdown/derive_breakdown_results.py:29
↓ 2 callersMethodcall_and_parse_single_meaasge
(self, file, system_prompt, user_prompt)
MMaDA/lmms_eval/lmms_eval/tasks/capability/utils.py:460
↓ 2 callersMethodcan_compute_power
(self, expr)
MMaDA/lmms_eval/lmms_eval/tasks/olympiadbench/olympiadbench_evals.py:340
↓ 2 callersMethodcan_infer
(self, answer, choices)
MMaDA/lmms_eval/lmms_eval/tasks/hrbench/hrbench_evals.py:95
↓ 2 callersMethodcan_infer_option
(self, answer, num_choice=5)
MMaDA/lmms_eval/lmms_eval/tasks/worldqa/worldqa_mc_evaluator.py:44
↓ 2 callersMethodcheck_batch_status
(self, batch_id)
MMaDA/lmms_eval/lmms_eval/models/batch_gpt4.py:194
↓ 2 callersMethodcheck_following
(self, value)
MMaDA/lmms_eval/lmms_eval/tasks/ifeval/instructions.py:858
↓ 2 callersFunctionchess_transform
Transform a sequence of chess moves encoded in SAN into a set.
MMaDA/lmms_eval/lmms_eval/tasks/megabench/metrics/scoring/chess_jaccard.py:8
↓ 2 callersFunctioncompare_two_numbers
(p, gt)
MMaDA/lmms_eval/lmms_eval/tasks/megabench/metrics/scoring/general_numerical_match.py:70
↓ 2 callersFunctioncompute_ap
(confList, matchList, numGtCare)
MMaDA/lmms_eval/lmms_eval/tasks/ocrbench_v2/spotting_eval/script.py:137
↓ 2 callersFunctioncompute_wer
(refs, hyps, language)
MMaDA/lmms_eval/lmms_eval/tasks/open_asr/utils.py:132
↓ 2 callersFunctionconstruct_prompt
(sample)
MMaDA/lmms_eval/lmms_eval/tasks/cmmmu/utils.py:23
↓ 2 callersFunctionconstruct_prompt
(doc)
MMaDA/lmms_eval/lmms_eval/tasks/jmmmu/utils.py:45
↓ 2 callersFunctionconstruct_prompt
(doc, post_prompt="Answer with the option letter from the given choices directly.")
MMaDA/lmms_eval/lmms_eval/tasks/mmmu_pro/utils.py:41
↓ 2 callersFunctionconstruct_prompt
(doc)
MMaDA/lmms_eval/lmms_eval/tasks/mmmu/utils_group_img.py:151
↓ 2 callersFunctionconstruct_prompt
Args: question (str): question in the dataset options (list): list of options num_frames (int): number of frames extracte
MMaDA/lmms_eval/lmms_eval/tasks/tomato/utils.py:86
↓ 2 callersFunctioncontain_chinese_string
(text)
MMaDA/lmms_eval/lmms_eval/tasks/ocrbench_v2/page_ocr_metric.py:12
↓ 2 callersFunctionconvert_dict_to_list
Convert a dictionary to a list of tuples, handling both simple and nested dictionaries. Args: data (dict): The input diction
MMaDA/lmms_eval/lmms_eval/tasks/ocrbench_v2/TEDS_metric.py:597
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