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Functions2,507 in github.com/NVlabs/DoRA

↓ 1 callersMethod__init__
(self, splits: str)
image_video_text_understanding/CLIP-ViL/src/tasks/vqa_data.py:65
↓ 1 callersMethod__init__
(self, args, sources, lmdb_paths)
image_video_text_understanding/CLIP-ViL/src/pretrain/lxmert_data.py:107
↓ 1 callersMethod__init__
(self, splits: str, verbose=True)
image_video_text_understanding/VL-T5/src/nlvr_raw_data.py:349
↓ 1 callersMethod__init__
(self, splits: str, verbose=True)
image_video_text_understanding/VL-T5/src/vqa_clip_data.py:443
↓ 1 callersMethod__init__
(self, config)
image_video_text_understanding/VL-T5/src/caption_model.py:8
↓ 1 callersMethod__init__
(self, config)
image_video_text_understanding/VL-T5/src/refcoco_model.py:9
↓ 1 callersMethod__init__
(self, splits: str, verbose=True)
image_video_text_understanding/VL-T5/src/nlvr_clip_data.py:352
↓ 1 callersMethod__init__
( self, vocab_file, eos_token="</s>", unk_token="<unk>", pad_token="<p
image_video_text_understanding/VL-T5/src/tokenization.py:15
↓ 1 callersMethod__init__
(self, splits: str, verbose=True)
image_video_text_understanding/VL-T5/src/vqa_raw_data.py:416
↓ 1 callersMethod__init__
(self, config)
image_video_text_understanding/VL-T5/src/classification_model.py:10
↓ 1 callersMethod__init__
(self, config)
image_video_text_understanding/VL-T5/src/gqa_model.py:9
↓ 1 callersMethod__init__
(self, min_size, max_size)
image_video_text_understanding/VL-T5/src/vis_encoder.py:22
↓ 1 callersMethod__init__
(self, splits: str, verbose=True)
image_video_text_understanding/VL-T5/src/gqa_clip_data.py:374
↓ 1 callersMethod__init__
(self, config)
image_video_text_understanding/VL-T5/src/multitask_model.py:14
↓ 1 callersMethod__init__
(self, m: torch.nn.Linear, lora_r= 1, lora_dropout = 0.0, lora_s = 1.0, device=None, dtype=None)
image_video_text_understanding/VL-T5/src/trainer_base.py:116
↓ 1 callersMethod__init__
(self, dataset=None)
image_video_text_understanding/VL-T5/src/activitynet_data.py:279
↓ 1 callersMethod__init__
(self, root, train=True, transform=None, target_transform=None, download=False, args=None)
image_video_text_understanding/VL-T5/src/classification_raw_data.py:253
↓ 1 callersMethod__init__
(self, config)
image_video_text_understanding/VL-T5/src/mmt_model.py:8
↓ 1 callersMethod__init__
(self, splits: str, verbose=True)
image_video_text_understanding/VL-T5/src/gqa_raw_data.py:413
↓ 1 callersMethod__init__
(self, splits: str, verbose=True)
image_video_text_understanding/VL-T5/src/gqa_data.py:388
↓ 1 callersMethod__init__
(self)
image_video_text_understanding/VL-T5/src/caption_clip_data.py:393
↓ 1 callersMethod__init__
(self)
image_video_text_understanding/VL-T5/src/caption_raw_data.py:387
↓ 1 callersMethod__init__
(self, splits: str, verbose=True)
image_video_text_understanding/VL-T5/src/vqa_data.py:431
↓ 1 callersMethod__init__
(self, config)
image_video_text_understanding/VL-T5/src/nlvr_model.py:9
↓ 1 callersMethod__init__
(self, splits: str, verbose=True)
image_video_text_understanding/VL-T5/src/nlvr_data.py:368
↓ 1 callersMethod__init__
(self, config)
image_video_text_understanding/VL-T5/src/vcr_model.py:10
↓ 1 callersMethod__init__
(self)
image_video_text_understanding/VL-T5/src/caption_data.py:414
↓ 1 callersMethod__init__
(self, data, types)
image_video_text_understanding/VL-T5/src/video/tvc_data.py:360
↓ 1 callersMethod__init__
(self, data, types)
image_video_text_understanding/VL-T5/src/video/yc2c_data.py:352
↓ 1 callersMethod__init__
(self, dataset=None, types=None)
image_video_text_understanding/VL-T5/src/video/how2qa_data.py:350
↓ 1 callersMethod__init__
(self, dataset=None, types=None)
image_video_text_understanding/VL-T5/src/video/tvqa_data.py:355
↓ 1 callersMethod__init__
(self, config, num_answers=None, label2ans=None)
image_video_text_understanding/VL-T5/src/video/video_model.py:13
↓ 1 callersMethod__init__
(self, config, num_answers=None, label2ans=None)
image_video_text_understanding/VL-T5/src/video/video_matching_model.py:13
↓ 1 callersMethod__init__
(self, dataset=None, types=None)
image_video_text_understanding/VL-T5/src/video/tvqa_matching_data.py:334
↓ 1 callersMethod__init__
( self, in_features: int, out_features: int, r: int = 0, lora_alpha: i
commonsense_reasoning/peft/src/peft/tuners/dora.py:341
↓ 1 callersFunction_add_speaker_and_signal
Add speaker and start/end signal on each round.
visual_instruction_tuning/llava/train/train.py:285
↓ 1 callersFunction_add_speaker_and_signal
Add speaker and start/end signal on each round.
visual_instruction_tuning/llava/train/train_dora.py:297
↓ 1 callersMethod_apply_prefix_mask
(self, attn_bias: torch.Tensor, prefix_mask: torch.Tensor)
visual_instruction_tuning/llava/model/language_model/mpt/modeling_mpt.py:119
↓ 1 callersMethod_apply_sequence_id
(self, attn_bias: torch.Tensor, sequence_id: torch.LongTensor)
visual_instruction_tuning/llava/model/language_model/mpt/modeling_mpt.py:134
↓ 1 callersMethod_attn_bias
(self, device, dtype, attention_mask: Optional[torch.ByteTensor]=None, prefix_mask: Optional[torch.ByteTensor]
visual_instruction_tuning/llava/model/language_model/mpt/modeling_mpt.py:88
↓ 1 callersMethod_build_res5_block
(self, cfg)
image_video_text_understanding/VL-T5/inference/modeling_frcnn.py:1310
↓ 1 callersMethod_calculate_anchors
(self, sizes, aspect_ratios)
image_video_text_understanding/VL-T5/inference/modeling_frcnn.py:1376
↓ 1 callersMethod_change_color_brightness
(self, color, brightness_factor)
image_video_text_understanding/VL-T5/inference/visualizing_image.py:258
↓ 1 callersMethod_check_quantization_dependency
(self)
visual_instruction_tuning/peft/src/peft/tuners/ia3.py:146
↓ 1 callersMethod_check_quantization_dependency
(self)
visual_instruction_tuning/peft/src/peft/tuners/dora.py:218
↓ 1 callersMethod_check_quantization_dependency
(self)
visual_instruction_tuning/peft/src/peft/tuners/lora.py:203
↓ 1 callersMethod_check_target_module_exists
(self, ia3_config, key)
visual_instruction_tuning/peft/src/peft/tuners/ia3.py:216
↓ 1 callersMethod_check_target_module_exists
(self, lora_config, key)
visual_instruction_tuning/peft/src/peft/tuners/dora.py:227
↓ 1 callersMethod_check_target_module_exists
(self, lora_config, key)
visual_instruction_tuning/peft/src/peft/tuners/lora.py:212
↓ 1 callersMethod_check_wdecompose_target_module_exists
(self, lora_config, key)
visual_instruction_tuning/peft/src/peft/tuners/dora.py:254
↓ 1 callersMethod_clean_text
Performs invalid character removal and whitespace cleanup on text.
image_video_text_understanding/CLIP-ViL/src/lxrt/tokenization.py:277
↓ 1 callersMethod_combine_ipt
(self, ipt_E, ipt_AB)
visual_instruction_tuning/peft/src/peft/tuners/adalora.py:671
↓ 1 callersMethod_compute_answer_scores
compute the accuracy (soft score) of human answers
visual_instruction_tuning/llava/eval/m4c_evaluator.py:225
↓ 1 callersFunction_compute_aspect_ratios_coco_dataset
(dataset, indices=None)
image_video_text_understanding/CLIP-ViL/src/tools/vision_helpers.py:278
↓ 1 callersFunction_compute_aspect_ratios_coco_dataset
(dataset, indices=None)
image_video_text_understanding/CLIP-ViL/src/tasks/vision_helpers.py:290
↓ 1 callersFunction_compute_aspect_ratios_custom_dataset
(dataset, indices=None)
image_video_text_understanding/CLIP-ViL/src/tools/vision_helpers.py:267
↓ 1 callersFunction_compute_aspect_ratios_custom_dataset
(dataset, indices=None)
image_video_text_understanding/CLIP-ViL/src/tasks/vision_helpers.py:279
↓ 1 callersFunction_compute_aspect_ratios_slow
(dataset, indices=None)
image_video_text_understanding/CLIP-ViL/src/tools/vision_helpers.py:234
↓ 1 callersFunction_compute_aspect_ratios_slow
(dataset, indices=None)
image_video_text_understanding/CLIP-ViL/src/tasks/vision_helpers.py:246
↓ 1 callersFunction_compute_aspect_ratios_subset_dataset
(dataset, indices=None)
image_video_text_understanding/CLIP-ViL/src/tools/vision_helpers.py:301
↓ 1 callersFunction_compute_aspect_ratios_subset_dataset
(dataset, indices=None)
image_video_text_understanding/CLIP-ViL/src/tasks/vision_helpers.py:313
↓ 1 callersFunction_compute_aspect_ratios_voc_dataset
(dataset, indices=None)
image_video_text_understanding/CLIP-ViL/src/tools/vision_helpers.py:289
↓ 1 callersFunction_compute_aspect_ratios_voc_dataset
(dataset, indices=None)
image_video_text_understanding/CLIP-ViL/src/tasks/vision_helpers.py:301
↓ 1 callersFunction_convert_bloom_causal_lm_to_prefix_lm
Converts a BLOOM Causal LM to a Prefix LM. Supported HuggingFace model classes: - `BloomForCausalLM` See `convert_hf_causal_lm_to_pr
visual_instruction_tuning/llava/model/language_model/mpt/hf_prefixlm_converter.py:113
↓ 1 callersFunction_convert_gpt_causal_lm_to_prefix_lm
Converts a GPT-style Causal LM to a Prefix LM. Supported HuggingFace model classes: - `GPT2LMHeadModel` - `GPTNeoForCausalLM`
visual_instruction_tuning/llava/model/language_model/mpt/hf_prefixlm_converter.py:29
↓ 1 callersFunction_convert_opt_causal_lm_to_prefix_lm
Converts an OPT Causal LM to a Prefix LM. Supported HuggingFace model classes: - `OPTForCausalLM` See `convert_hf_causal_lm_to_prefi
visual_instruction_tuning/llava/model/language_model/mpt/hf_prefixlm_converter.py:269
↓ 1 callersMethod_create_adapted_attentions
Wrap LlamaAttention modules with newly created AdaptedAttention modules.
visual_instruction_tuning/peft/src/peft/tuners/adaption_prompt.py:228
↓ 1 callersFunction_create_grid_offsets
(size: List[int], stride: int, offset: float, device)
image_video_text_understanding/VL-T5/inference/modeling_frcnn.py:171
↓ 1 callersMethod_create_new_module
(self, ia3_config, adapter_name, target, is_feedforward)
visual_instruction_tuning/peft/src/peft/tuners/ia3.py:159
↓ 1 callersMethod_create_new_module
(self, lora_config, adapter_name, target)
visual_instruction_tuning/peft/src/peft/tuners/lora.py:238
↓ 1 callersMethod_create_text_labels_attr
(self, classes, scores, attr_classes, attr_scores)
image_video_text_understanding/VL-T5/inference/visualizing_image.py:205
↓ 1 callersFunction_download
(url: str, root: str = os.path.expanduser("~/.cache/clip"))
image_video_text_understanding/CLIP-ViL/clip/clip.py:27
↓ 1 callersFunction_download
(url: str, root: str = os.path.expanduser("~/.cache/clip"))
image_video_text_understanding/VL-T5/src/clip/clip.py:26
↓ 1 callersMethod_find_and_replace
(self, adapter_name)
visual_instruction_tuning/peft/src/peft/tuners/ia3.py:225
↓ 1 callersMethod_find_and_replace
(self, adapter_name)
visual_instruction_tuning/peft/src/peft/tuners/dora.py:349
↓ 1 callersMethod_find_and_replace
(self, adapter_name)
visual_instruction_tuning/peft/src/peft/tuners/adalora.py:124
↓ 1 callersMethod_find_and_replace
(self)
commonsense_reasoning/peft/src/peft/tuners/dora.py:140
↓ 1 callersMethod_find_and_replace
(self)
commonsense_reasoning/peft/src/peft/tuners/bottleneck.py:117
↓ 1 callersMethod_find_and_replace
(self)
commonsense_reasoning/peft/src/peft/tuners/lora.py:122
↓ 1 callersFunction_fmt_box_list
(box_tensor, batch_index: int)
image_video_text_understanding/VL-T5/inference/modeling_frcnn.py:368
↓ 1 callersMethod_get_base_model_class
Returns the base model class.
visual_instruction_tuning/peft/src/peft/peft_model.py:421
↓ 1 callersMethod_get_buffer
(self)
image_video_text_understanding/VL-T5/inference/visualizing_image.py:230
↓ 1 callersMethod_get_submodules
(self, key)
commonsense_reasoning/peft/src/peft/tuners/bottleneck.py:180
↓ 1 callersMethod_get_submodules
(self, key)
commonsense_reasoning/peft/src/peft/tuners/lora.py:189
↓ 1 callersMethod_is_chinese_char
Checks whether CP is the codepoint of a CJK character.
image_video_text_understanding/CLIP-ViL/src/lxrt/tokenization.py:255
↓ 1 callersFunction_is_control
Checks whether `chars` is a control character.
image_video_text_understanding/CLIP-ViL/src/lxrt/tokenization.py:363
↓ 1 callersFunction_is_punctuation
Checks whether `chars` is a punctuation character.
image_video_text_understanding/CLIP-ViL/src/lxrt/tokenization.py:375
↓ 1 callersMethod_is_valid_match
Helper function to match module names target_key and key. Makes sure that either the key is exactly the target_key or the target_key
visual_instruction_tuning/peft/src/peft/tuners/ia3.py:261
↓ 1 callersFunction_is_whitespace
Checks whether `chars` is a whitespace character.
image_video_text_understanding/CLIP-ViL/src/lxrt/tokenization.py:351
↓ 1 callersFunction_make_causal_mask
Make causal mask used for bi-directional self-attention.
image_video_text_understanding/VL-T5/src/modeling_bart.py:51
↓ 1 callersFunction_make_causal_mask
Make causal mask used for bi-directional self-attention.
image_video_text_understanding/VL-T5/src/my_transformers/modeling_bart.py:91
↓ 1 callersMethod_mark_only_adaption_prompts_as_trainable
Freeze all parameters of the model except the adaption prompts.
visual_instruction_tuning/peft/src/peft/tuners/adaption_prompt.py:256
↓ 1 callersFunction_mask_targets
(target, tokenized_lens, speakers)
visual_instruction_tuning/llava/train/train.py:274
↓ 1 callersFunction_mask_targets
(target, tokenized_lens, speakers)
visual_instruction_tuning/llava/train/train_dora.py:286
↓ 1 callersFunction_nonempty_boxes
(box, threshold: float = 0.0)
image_video_text_understanding/VL-T5/inference/modeling_frcnn.py:151
↓ 1 callersFunction_normal_init_
(std, mean=0.0)
visual_instruction_tuning/llava/model/language_model/mpt/param_init_fns.py:121
↓ 1 callersMethod_predict_attrs
(self, attr_logits, preds_per_image)
image_video_text_understanding/VL-T5/inference/modeling_frcnn.py:1165
↓ 1 callersMethod_predict_boxes
(self, proposals, box_deltas, preds_per_image)
image_video_text_understanding/VL-T5/inference/modeling_frcnn.py:1150
↓ 1 callersMethod_predict_objs
(self, obj_logits, preds_per_image)
image_video_text_understanding/VL-T5/inference/modeling_frcnn.py:1160
↓ 1 callersMethod_prefix_tuning_forward
( self, input_ids=None, attention_mask=None, inputs_embeds=None, label
visual_instruction_tuning/peft/src/peft/peft_model.py:787
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