MCPcopy Create free account

hub / github.com/allenai/molmo2 / functions

Functions2,270 in github.com/allenai/molmo2

⨍ Functions 2,270◇ Types & classes 480
Method__init__
(self)
olmo/data/academic_video_datasets.py:1199
Method__init__
(self, split, duration="all", difficulty="all", with_subtitle=False)
olmo/data/academic_video_datasets.py:1279
Method__init__
( self, split: Literal["train", "val"] ="train", subset: str = "all", mode: st
olmo/data/academic_video_datasets.py:1377
Method__init__
(self, split)
olmo/data/academic_video_datasets.py:1558
Method__init__
( self, split, flat: bool = False, max_per_video: Optional[int] = None,
olmo/data/academic_video_datasets.py:1652
Method__init__
( self, split, flat: bool = False, task: Literal["caption_clip", "all"] = "cap
olmo/data/academic_video_datasets.py:1874
Method__init__
( self, split, flat: bool = False, max_per_video: Optional[int] = None,
olmo/data/academic_video_datasets.py:2083
Method__init__
( self, split, flat: bool = False, max_per_video: Optional[int] = None,
olmo/data/academic_video_datasets.py:2309
Method__init__
( self, split, flat: bool = False, max_per_video: Optional[int] = None,
olmo/data/academic_video_datasets.py:2485
Method__init__
Args: split: Dataset split ("train", "validation", or "test") flat: If True, each example contains only a single mess
olmo/data/academic_video_datasets.py:2716
Method__init__
(self, split, flat=False, max_per_video=None)
olmo/data/academic_video_datasets.py:2904
Method__init__
Args: split (str): Dataset split to use. Must be one of ["train", "val", "test"]. task (Literal, optional): Task type
olmo/data/academic_video_datasets.py:3283
Method__init__
( self, split, task: Literal["all"] = "all", max_per_video: Optional[int] = No
olmo/data/academic_video_datasets.py:3804
Method__init__
(self, split, task="multiple-choice", flat: bool = False, max_per_video: Optional[int] = None
olmo/data/academic_video_datasets.py:3858
Method__init__
( self, split, flat: bool = False, task: Literal["caption_clip
olmo/data/academic_video_datasets.py:4016
Method__init__
(self, split)
olmo/data/academic_video_datasets.py:4124
Method__init__
(self, split)
olmo/data/academic_video_datasets.py:4187
Method__init__
(self, split)
olmo/data/academic_video_datasets.py:4286
Method__init__
(self, split, flatten=False)
olmo/data/academic_video_datasets.py:4434
Method__init__
(self, split, answer_type="all", flat=False)
olmo/data/academic_video_datasets.py:4524
Method__init__
(self, split, flat=False)
olmo/data/academic_video_datasets.py:4611
Method__init__
(self, split, flat=False)
olmo/data/academic_video_datasets.py:4678
Method__init__
( self, split, answer_type="all", flat=False, max_per_video=None,
olmo/data/academic_video_datasets.py:4781
Method__init__
(self, split, max_per_video=None, flat=False)
olmo/data/academic_video_datasets.py:4922
Method__init__
(self, split, flat=False, answer_type="open_ended")
olmo/data/academic_video_datasets.py:5008
Method__init__
(self, split, flat=False)
olmo/data/academic_video_datasets.py:5080
Method__init__
(self, split)
olmo/data/academic_video_datasets.py:5152
Method__init__
(self, split, with_subtitle: bool = False)
olmo/data/academic_video_datasets.py:5207
Method__init__
(self, split, flat=False, filter_empty_answers=True)
olmo/data/academic_video_datasets.py:5277
Method__init__
(self, split, answer_format="oe")
olmo/data/academic_video_datasets.py:5366
Method__init__
(self, split, flat=False, max_per_video=None)
olmo/data/academic_video_datasets.py:5452
Method__init__
(self, split, answer_type="all", subset="all", flat=False)
olmo/data/academic_video_datasets.py:5593
Method__init__
(self, split, flat=False, max_per_video=None, with_subtitle=False)
olmo/data/academic_video_datasets.py:5724
Method__init__
( self, datasets: List[DeterministicDataset], global_batch_size: Optional[int],
olmo/data/iterable_dataset_mixture.py:64
Method__init__
(self, dataset: Dataset, preprocessor, seed, n_pad=0, weighting=None, preprocessor_kwargs=None)
olmo/data/dataset.py:50
Method__init__
(self, split, sample: int=None)
olmo/data/dataset.py:84
Method__init__
(self, name, hf_source, style, flatten_annotations=False, sample=None)
olmo/data/dataset.py:126
Method__init__
(self, split, task, sampling_fps, use_fps_sampling=True)
olmo/data/molmo2_video_track_datasets.py:313
Method__init__
(self, split, task, sampling_fps, use_fps_sampling=True, configs=None)
olmo/data/molmo2_video_track_datasets.py:510
Method__init__
(self, split: str, use_code=False, use_puzzles=False, use_reasoning=False, use_non_english=False, max_first_ms
olmo/data/text_datasets.py:38
Method__init__
(self, split: str)
olmo/data/academic_image_datasets.py:94
Method__init__
(self, split: str, flatten_annotations=False)
olmo/data/academic_image_datasets.py:108
Method__init__
(self, split: str, flatten_annotations=False, sample=None)
olmo/data/academic_image_datasets.py:161
Method__init__
(self, split: str, direct_answer, flatten=False)
olmo/data/academic_image_datasets.py:176
Method__init__
(self, split)
olmo/data/academic_image_datasets.py:238
Method__init__
(self, split)
olmo/data/academic_image_datasets.py:287
Method__init__
(self, split)
olmo/data/academic_image_datasets.py:338
Method__init__
(self, split, boxes="both", keep_in_memory=False)
olmo/data/academic_image_datasets.py:386
Method__init__
(self, split, in_memory=False)
olmo/data/academic_image_datasets.py:439
Method__init__
(self, split, in_memory=False)
olmo/data/academic_image_datasets.py:469
Method__init__
(self, split, in_memory=False)
olmo/data/academic_image_datasets.py:499
Method__init__
(self, split, simplify_question=True, **kwargs)
olmo/data/academic_image_datasets.py:526
Method__init__
(self, split: str, use_multi_image: bool = False)
olmo/data/academic_image_datasets.py:575
Method__init__
(self, mode="no_mc_instruction", in_memory=False)
olmo/data/academic_image_datasets.py:632
Method__init__
(self, doc_type: str, split: str, use_exp=True, keep_in_memory=False)
olmo/data/academic_image_datasets.py:674
Method__init__
(self, doc_type: str, split: str, use_exp=True, keep_in_memory=False, max_images=5)
olmo/data/academic_image_datasets.py:718
Method__init__
(self, split: str, parts="both", weighted=False, keep_in_memory=False)
olmo/data/academic_image_datasets.py:795
Method__init__
(self)
olmo/data/academic_image_datasets.py:846
Method__init__
(self, split, include_options: bool, keep_in_memory=False)
olmo/data/academic_image_datasets.py:880
Method__init__
(self)
olmo/data/academic_image_datasets.py:942
Method__init__
(self, split)
olmo/data/academic_image_datasets.py:1004
Method__init__
(self, kinds=("desktop", "web", "mobile"), prompt="find")
olmo/data/academic_image_datasets.py:1061
Method__init__
(self, prompt="find")
olmo/data/academic_image_datasets.py:1103
Method__init__
(self, prompt="none")
olmo/data/academic_image_datasets.py:1132
Method__init__
(self, p_video=0.25)
olmo/data/molmo_hardcode.py:44
Method__init__
(self, split: str, format: str = "multiple_choice", keep_in_memory=False)
olmo/data/academic_multi_image_datasets.py:47
Method__init__
(self, split: str, format: str = "multiple_choice", legacy=False, keep_in_memory=False)
olmo/data/academic_multi_image_datasets.py:153
Method__init__
(self, split: str)
olmo/data/academic_multi_image_datasets.py:240
Method__init__
(self, name: str, split: str, direct_answer=False, multi_image_only=False, flat=False, sample=None, keep_in_me
olmo/data/academic_multi_image_datasets.py:329
Method__init__
(self, split, task, sampling_fps=None, use_fps_sampling=True)
olmo/data/academic_video_track_datasets.py:408
Method__init__
(self, *args, **kwargs)
olmo/data/dataset_builders/count_bench_qa.py:22
Method__init__
(self, *args, **kwargs)
olmo/data/dataset_builders/ai2d.py:99
Method__init__
(self, *args, **kwargs)
olmo/data/dataset_builders/tabe_wmpd.py:12
Method__init__
(self, *args, **kwargs)
olmo/data/dataset_builders/dv_qa.py:13
Method__init__
(self, *args, **kwargs)
olmo/data/dataset_builders/plot_qa.py:13
Method__init__
(self, *args, **kwargs)
olmo/data/dataset_builders/figure_qa.py:19
Method__init__
( self, hidden_size: int = 1152, intermediate_size: int = 4304, num_hidden_lay
olmo/hf_model/configuration_molmo2.py:40
Method__init__
( self, vit_layers: tuple = (-3, -9), pooling_attention_mask: bool = False, hi
olmo/hf_model/configuration_molmo2.py:116
Method__init__
( self, hidden_size: int = 3584, num_attention_heads: int = 28, num_key_value_
olmo/hf_model/configuration_molmo2.py:193
Method__init__
( self, vit_layers: tuple = (-3, -9), pooling_attention_mask: bool = False, hi
olmo/hf_model/configuration_molmo_point.py:45
Method__init__
( self, size: Optional[dict[str, int]] = None, resample: PILImageResampling = PILImage
olmo/hf_model/image_processing_molmo2.py:360
Method__init__
( self, theta: float, dim: int, device: Union[str, torch.device] = None, )
olmo/hf_model/modeling_molmo_point.py:167
Method__init__
( self, hidden_size: int, num_heads: int, num_key_value_heads: int, he
olmo/hf_model/modeling_molmo_point.py:202
Method__init__
(self, config)
olmo/hf_model/modeling_molmo_point.py:354
Method__init__
(self, vocab_size, n_patches, n_subpatches, n_locations, no_more_points_class)
olmo/hf_model/modeling_molmo_point.py:540
Method__init__
(self, bounds: GeneratedTokenBounds, prevent_repeats, force_patch_sorted, force_subpatch_sort
olmo/hf_model/modeling_molmo_point.py:562
Method__init__
(self, config: Molmo2TextConfig)
olmo/hf_model/modeling_molmo_point.py:667
Method__init__
(self, dim: int)
olmo/hf_model/modeling_molmo_point.py:860
Method__init__
(self, config: MolmoPointAdapterConfig, vit_config: Molmo2VitConfig)
olmo/hf_model/modeling_molmo_point.py:884
Method__init__
(self, config: MolmoPointConfig)
olmo/hf_model/modeling_molmo_point.py:1014
Method__init__
(self, config, output_embeddings=None, new_output_embeddings=None)
olmo/hf_model/modeling_molmo_point.py:1605
Method__init__
(self, config: MolmoPointConfig)
olmo/hf_model/modeling_molmo_point.py:1625
Method__init__
( self, hidden_size: int, num_heads: int, num_key_value_heads: int, he
olmo/hf_model/modeling_molmo2.py:98
Method__init__
(self, config: Molmo2VitConfig, device: Union[str, torch.device] = None)
olmo/hf_model/modeling_molmo2.py:243
Method__init__
(self, config: Molmo2VitConfig, device: Union[str, torch.device] = None)
olmo/hf_model/modeling_molmo2.py:268
Method__init__
(self, config: Molmo2VitConfig, device: Union[str, torch.device] = None)
olmo/hf_model/modeling_molmo2.py:285
Method__init__
( self, input_dim: int, hidden_dim: int, output_dim: int, hidden_act:
olmo/hf_model/modeling_molmo2.py:348
Method__init__
(self, vit_config: Molmo2VitConfig, adapter_config: Molmo2AdapterConfig)
olmo/hf_model/modeling_molmo2.py:367
Method__init__
( self, config: Molmo2TextConfig, device: Union[str, torch.device] = None, rop
olmo/hf_model/modeling_molmo2.py:514
Method__init__
( self, size: int, eps: float = 1e-6, device: Union[str, torch.device] = None,
olmo/hf_model/modeling_molmo2.py:556
← previousnext →1,101–1,200 of 2,270, ranked by callers