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Functions432 in github.com/ant-research/DreamLIP

⨍ Functions 432◇ Types & classes 72
Method_unlock
(x)
open_clip/transformer.py:456
Functionadd_model_config
add model config path or file and update registry
open_clip/factory.py:62
Functionall_gather_object
(args, obj, dst=0)
training/distributed.py:135
Functionautocontrast_func
same output as PIL.ImageOps.autocontrast
training/random_aug.py:102
Methodbackward
(ctx, *grad_outputs)
open_clip/loss.py:607
Functionbrightness_func
same output as PIL.ImageEnhance.Contrast
training/random_aug.py:214
Functionbuild_zero_shot_classifier_legacy
Build zero-shot classifier weights by iterating over class names 1 by 1 Args: model: CLIP model instance tokenizer: CLIP tokenize
open_clip/zero_shot_classifier.py:71
Functioncheck_exists
(file_path)
training/file_utils.py:77
Functioncolor_func
same output as PIL.ImageEnhance.Color
training/random_aug.py:179
Functioncontrast_func
same output as PIL.ImageEnhance.Contrast
training/random_aug.py:201
Functioncount_samples
(dataloader)
training/data.py:675
Functioncutout_func
(img, pad_size, replace=(0, 0, 0))
training/random_aug.py:286
Functioncutout_level_to_args
(cutout_const, MAX_LEVEL, replace_value)
training/random_aug.py:326
Functiondecode
(output_ids: torch.Tensor)
open_clip/tokenizer.py:265
Methodencode_image
(self, images, normalize: bool = True)
open_clip/coca_model.py:149
Methodencode_text
(self, text, normalize: bool = True)
open_clip/coca_model.py:153
Functionequalize_func
same output as PIL.ImageOps.equalize PIL's implementation is different from cv2.equalize
training/random_aug.py:134
Functionfilter_no_caption_or_no_image
(sample)
training/data.py:685
Methodforward
(self, image_features, text_features, logits, labels, logit_scale, output_dict=False)
open_clip/loss.py:469
Methodforward
( self, image_features, text_features, logit_scale,
open_clip/loss.py:494
Methodforward
(ctx, from_rank, to_rank, group, tensor)
open_clip/loss.py:583
Methodforward
(ctx, left_rank, right_rank, group, tensor_to_left, tensor_to_right)
open_clip/loss.py:600
Methodforward
(self, image_features, text_features, logit_scale, logit_bias, output_dict=False)
open_clip/loss.py:669
Methodforward
Parameters ---------- x: input logits y: targets (multi-label binarized vector)
open_clip/loss.py:738
Methodforward
(self, dist_mat, target)
open_clip/loss.py:785
Methodforward
( self, image, text: Optional[torch.Tensor] = None, image_late
open_clip/coca_model.py:157
Methodforward
(self, x: torch.Tensor)
open_clip/modified_resnet.py:42
Methodforward
(self, x)
open_clip/modified_resnet.py:68
Methodforward
(self, x)
open_clip/modified_resnet.py:173
Methodforward
Args: img (PIL Image or Tensor): Image to be cropped. Returns: PIL Image or Tensor: Cropped image.
open_clip/transform.py:234
Methodforward
(self, x)
open_clip/timm_model.py:149
Methodforward
(self, x: BaseModelOutput, attention_mask: TensorType)
open_clip/hf_model.py:49
Methodforward
(self, x: BaseModelOutput, attention_mask: TensorType)
open_clip/hf_model.py:58
Methodforward
(self, x: BaseModelOutput, attention_mask: TensorType)
open_clip/hf_model.py:72
Methodforward
(self, x: BaseModelOutput, attention_mask: TensorType)
open_clip/hf_model.py:92
Methodforward
(self, x: TensorType)
open_clip/hf_model.py:156
Methodforward
(self, x: torch.Tensor)
open_clip/transformer.py:18
Methodforward
(self, x: torch.Tensor)
open_clip/transformer.py:27
Methodforward
(self, x: torch.Tensor)
open_clip/transformer.py:35
Methodforward
(self, x)
open_clip/transformer.py:45
Methodforward
(self, x)
open_clip/transformer.py:60
Methodforward
(self, x, attn_mask: Optional[torch.Tensor] = None)
open_clip/transformer.py:129
Methodforward
(self, x: torch.Tensor)
open_clip/transformer.py:180
Methodforward
( self, q_x: torch.Tensor, k_x: Optional[torch.Tensor] = None,
open_clip/transformer.py:231
Methodforward
(self, x: torch.Tensor, attn_mask: Optional[torch.Tensor] = None)
open_clip/transformer.py:281
Methodforward
(self, x: torch.Tensor, attn_mask: Optional[torch.Tensor] = None)
open_clip/transformer.py:318
Methodforward
(self, x: torch.Tensor)
open_clip/transformer.py:503
Methodforward
(self, text)
open_clip/transformer.py:673
Methodforward
(self, image_embs, text_embs)
open_clip/transformer.py:780
Methodforward
(self, x)
open_clip/model.py:244
Methodforward
( self, image: Optional[torch.Tensor] = None, text: Optional[torch.Tensor]
open_clip/model.py:342
Methodforward
( self, image: Optional[torch.Tensor] = None, text: Optional[torch.Tensor]
open_clip/model.py:456
Methodgenerate
( self, image, text=None, seq_len=30, max_seq_len=77, temperat
open_clip/coca_model.py:187
Functionget_csv_dataset
(args, preprocess_fn, is_train, epoch=0, tokenizer=None)
training/data.py:1029
Functionget_json_dataset
(args, preprocess_fn, is_train, epoch=0, tokenizer=None)
training/data.py:956
Functionget_loader_test
( transform, batch_size, num_workers, seed )
dataloaders/cifar100.py:20
Functionget_loader_test
( transform, batch_size, num_workers, seed )
dataloaders/oxford_pets.py:21
Functionget_loader_test
( transform, batch_size, num_workers, seed )
dataloaders/sun397.py:28
Functionget_loader_test
( transform, batch_size, num_workers, seed )
dataloaders/food101.py:20
Functionget_loader_test
( transform, batch_size, num_workers, seed )
dataloaders/cifar10.py:20
Functionget_loader_test
( transform, batch_size, num_workers, seed )
dataloaders/fgvc_aircraft.py:21
Functionget_loader_test
( transform, batch_size, num_workers, seed )
dataloaders/flowers102.py:40
Functionget_loader_test
( transform, batch_size, num_workers, seed )
dataloaders/stanford_car.py:21
Functionget_loader_test
( transform, batch_size, num_workers, seed )
dataloaders/dtd.py:39
Functionget_loader_test
( transform, batch_size, num_workers, seed )
dataloaders/caltech101.py:26
Functionget_loader_train
( transform, batch_size, num_workers, seed )
dataloaders/cifar100.py:13
Functionget_loader_train
( transform, batch_size, num_workers, seed )
dataloaders/oxford_pets.py:14
Functionget_loader_train
( transform, batch_size, num_workers, seed )
dataloaders/sun397.py:15
Functionget_loader_train
( transform, batch_size, num_workers, seed )
dataloaders/food101.py:13
Functionget_loader_train
( transform, batch_size, num_workers, seed )
dataloaders/cifar10.py:13
Functionget_loader_train
( transform, batch_size, num_workers, seed )
dataloaders/fgvc_aircraft.py:14
Functionget_loader_train
( transform, batch_size, num_workers, seed )
dataloaders/flowers102.py:30
Functionget_loader_train
( transform, batch_size, num_workers, seed )
dataloaders/stanford_car.py:13
Functionget_loader_train
( transform, batch_size, num_workers, seed )
dataloaders/dtd.py:29
Functionget_loader_train
( transform, batch_size, num_workers, seed )
dataloaders/caltech101.py:14
Functionget_model_preprocess_cfg
(model)
open_clip/model.py:699
Functionget_model_tokenize_cfg
(model)
open_clip/model.py:723
Functionget_synthetic_dataset
(args, preprocess_fn, is_train, epoch=0, tokenizer=None)
training/data.py:1092
Functionget_txt_dataset
(args, preprocess_fn, is_train, epoch=0, tokenizer=None)
training/data.py:993
Functionget_wds_dataset
(args, preprocess_img, is_train, epoch=0, floor=False, tokenizer=None)
training/data.py:839
Methodhandle_data
(self, data: str)
dataloaders/flickr30k.py:43
Methodhandle_endtag
(self, tag: str)
dataloaders/flickr30k.py:37
Methodhandle_starttag
(self, tag: str, attrs: List[Tuple[str, Optional[str]]])
dataloaders/flickr30k.py:31
Functionidentity_func
(img)
training/random_aug.py:98
Methodinit_parameters
(self)
open_clip/hf_model.py:194
Methodinit_parameters
(self)
open_clip/transformer.py:754
Methodinput_size
(self)
open_clip/transform.py:35
Functioninterpolate_pos_embed
(model, checkpoint_model)
open_clip/pos_embed.py:75
Functionis_pretrained_cfg
(model: str, tag: str)
open_clip/pretrained.py:460
Functionis_using_horovod
()
training/distributed.py:24
Functionkeep_running_remote_sync
(sync_every, local_dir, remote_dir, protocol)
training/file_utils.py:54
Functionlevel_to_args
(level)
training/random_aug.py:301
Functionlist_pretrained
returns list of pretrained models Returns a tuple (model_name, pretrain_tag) by default or 'name:tag' if as_str == True
open_clip/pretrained.py:435
Methodlock
(self, unlocked_groups=0, freeze_bn_stats=False)
open_clip/modified_resnet.py:154
Methodlock
(self, unlocked_layers: int = 0, freeze_layer_norm: bool = True)
open_clip/hf_model.py:173
Methodlock
(self, unlocked_groups=0, freeze_bn_stats=False)
open_clip/transformer.py:436
Methodlock_image_tower
(self, unlocked_groups=0, freeze_bn_stats=False)
open_clip/model.py:433
Functionlog_and_continue
Call in an exception handler to ignore any exception, issue a warning, and continue.
training/data.py:691
Methodmasked_pairwise_contrastive_loss
(self, a, b, inverse_temperature=1.0)
open_clip/model.py:335
Functionnatural_key
See http://www.codinghorror.com/blog/archives/001018.html
main.py:50
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