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Functions595 in github.com/MediaBrain-SJTU/MedKLIP

↓ 1 callersMethod_approx_sq_grad
(self, exp_avg_sq_row, exp_avg_sq_col)
PreTrain_MedKLIP/optim/adafactor.py:76
↓ 1 callersMethod_approx_sq_grad
(self, exp_avg_sq_row, exp_avg_sq_col)
Sample_Finetuning_SIIMACR/I1_classification/optim/adafactor.py:76
↓ 1 callersMethod_approx_sq_grad
(self, exp_avg_sq_row, exp_avg_sq_col)
Sample_Finetuning_SIIMACR/I2_segmentation/optim/adafactor.py:76
↓ 1 callersMethod_clean_text
Performs invalid character removal and whitespace cleanup on text.
PreTrain_MedKLIP/models/tokenization_bert.py:474
↓ 1 callersMethod_clean_text
Performs invalid character removal and whitespace cleanup on text.
Sample_Zero-Shot_Grounding_RSNA/models/tokenization_bert.py:474
↓ 1 callersMethod_clean_text
Performs invalid character removal and whitespace cleanup on text.
Sample_zero-shot_Classification_CXR14/models/tokenization_bert.py:474
↓ 1 callersMethod_cosine_similarity
(self, x, y, eps, view_func)
PreTrain_MedKLIP/optim/adamp.py:29
↓ 1 callersMethod_cosine_similarity
(self, x, y, eps, view_func)
PreTrain_MedKLIP/optim/sgdp.py:29
↓ 1 callersMethod_cosine_similarity
(self, x, y, eps, view_func)
Sample_Finetuning_SIIMACR/I1_classification/optim/adamp.py:29
↓ 1 callersMethod_cosine_similarity
(self, x, y, eps, view_func)
Sample_Finetuning_SIIMACR/I1_classification/optim/sgdp.py:29
↓ 1 callersMethod_cosine_similarity
(self, x, y, eps, view_func)
Sample_Finetuning_SIIMACR/I2_segmentation/optim/adamp.py:29
↓ 1 callersMethod_cosine_similarity
(self, x, y, eps, view_func)
Sample_Finetuning_SIIMACR/I2_segmentation/optim/sgdp.py:29
↓ 1 callersFunction_get_activation_fn
Return an activation function given a string
PreTrain_MedKLIP/models/transformer.py:152
↓ 1 callersFunction_get_activation_fn
Return an activation function given a string
Sample_Zero-Shot_Grounding_RSNA/models/transformer.py:152
↓ 1 callersFunction_get_activation_fn
Return an activation function given a string
Sample_zero-shot_Classification_CXR14/models/transformer.py:152
↓ 1 callersMethod_get_bert_basemodel
(self, bert_model_name, freeze_layers)
PreTrain_MedKLIP/models/model_MedKLIP.py:106
↓ 1 callersMethod_get_bert_basemodel
(self, bert_model_name, freeze_layers)
Sample_Zero-Shot_Grounding_RSNA/models/model_MedKLIP.py:84
↓ 1 callersMethod_get_bert_basemodel
(self, bert_model_name, freeze_layers)
Sample_zero-shot_Classification_CXR14/models/model_MedKLIP.py:78
↓ 1 callersFunction_get_clones
(module, N)
PreTrain_MedKLIP/models/transformer.py:147
↓ 1 callersFunction_get_clones
(module, N)
Sample_Zero-Shot_Grounding_RSNA/models/transformer.py:147
↓ 1 callersFunction_get_clones
(module, N)
Sample_zero-shot_Classification_CXR14/models/transformer.py:147
↓ 1 callersMethod_get_options
(param_group, param_shape)
PreTrain_MedKLIP/optim/adafactor.py:67
↓ 1 callersMethod_get_options
(param_group, param_shape)
Sample_Finetuning_SIIMACR/I1_classification/optim/adafactor.py:67
↓ 1 callersMethod_get_options
(param_group, param_shape)
Sample_Finetuning_SIIMACR/I2_segmentation/optim/adafactor.py:67
↓ 1 callersMethod_get_res_basemodel
(self, res_model_name)
PreTrain_MedKLIP/models/model_MedKLIP.py:98
↓ 1 callersMethod_get_res_basemodel
(self, res_model_name)
Sample_Zero-Shot_Grounding_RSNA/models/model_MedKLIP.py:76
↓ 1 callersMethod_get_res_basemodel
(self, res_model_name)
Sample_Finetuning_SIIMACR/I1_classification/models/resnet.py:17
↓ 1 callersMethod_get_res_basemodel
(self, res_model_name)
Sample_Finetuning_SIIMACR/I2_segmentation/models/resunet.py:127
↓ 1 callersMethod_get_res_basemodel
(self, res_model_name)
Sample_zero-shot_Classification_CXR14/models/model_MedKLIP.py:70
↓ 1 callersMethod_is_chinese_char
Checks whether CP is the codepoint of a CJK character.
PreTrain_MedKLIP/models/tokenization_bert.py:450
↓ 1 callersMethod_is_chinese_char
Checks whether CP is the codepoint of a CJK character.
Sample_Zero-Shot_Grounding_RSNA/models/tokenization_bert.py:450
↓ 1 callersMethod_is_chinese_char
Checks whether CP is the codepoint of a CJK character.
Sample_zero-shot_Classification_CXR14/models/tokenization_bert.py:450
↓ 1 callersMethod_projection
(self, p, grad, perturb, delta, wd_ratio, eps)
PreTrain_MedKLIP/optim/adamp.py:39
↓ 1 callersMethod_projection
(self, p, grad, perturb, delta, wd_ratio, eps)
PreTrain_MedKLIP/optim/sgdp.py:39
↓ 1 callersMethod_projection
(self, p, grad, perturb, delta, wd_ratio, eps)
Sample_Finetuning_SIIMACR/I1_classification/optim/adamp.py:39
↓ 1 callersMethod_projection
(self, p, grad, perturb, delta, wd_ratio, eps)
Sample_Finetuning_SIIMACR/I1_classification/optim/sgdp.py:39
↓ 1 callersMethod_projection
(self, p, grad, perturb, delta, wd_ratio, eps)
Sample_Finetuning_SIIMACR/I2_segmentation/optim/adamp.py:39
↓ 1 callersMethod_projection
(self, p, grad, perturb, delta, wd_ratio, eps)
Sample_Finetuning_SIIMACR/I2_segmentation/optim/sgdp.py:39
↓ 1 callersMethod_run_split_on_punc
Splits punctuation on a piece of text.
PreTrain_MedKLIP/models/tokenization_bert.py:415
↓ 1 callersMethod_run_split_on_punc
Splits punctuation on a piece of text.
Sample_Zero-Shot_Grounding_RSNA/models/tokenization_bert.py:415
↓ 1 callersMethod_run_split_on_punc
Splits punctuation on a piece of text.
Sample_zero-shot_Classification_CXR14/models/tokenization_bert.py:415
↓ 1 callersMethod_tokenize_chinese_chars
Adds whitespace around any CJK character.
PreTrain_MedKLIP/models/tokenization_bert.py:437
↓ 1 callersMethod_tokenize_chinese_chars
Adds whitespace around any CJK character.
Sample_Zero-Shot_Grounding_RSNA/models/tokenization_bert.py:437
↓ 1 callersMethod_tokenize_chinese_chars
Adds whitespace around any CJK character.
Sample_zero-shot_Classification_CXR14/models/tokenization_bert.py:437
↓ 1 callersFunctionadd_weight_decay
(model, weight_decay=1e-5, skip_list=())
PreTrain_MedKLIP/optim/optim_factory.py:25
↓ 1 callersFunctionadd_weight_decay
(model, weight_decay=1e-5, skip_list=())
Sample_Finetuning_SIIMACR/I1_classification/optim/optim_factory.py:25
↓ 1 callersFunctionadd_weight_decay
(model, weight_decay=1e-5, skip_list=())
Sample_Finetuning_SIIMACR/I2_segmentation/optim/optim_factory.py:25
↓ 1 callersFunctionanatomy_to_landmark
Args: x: input anatomy, e.g., 'lobe|left|lower' a: base anatomy set, e.g., ['hilar', 'hilum', 'perihilar'] m1: level 1 mo
PreTrain_MedKLIP/data_file/preprocessing/adj_matrix.py:185
↓ 1 callersFunctioncompute_AUCs
Computes Area Under the Curve (AUC) from prediction scores. Args: gt: Pytorch tensor on GPU, shape = [n_samples, n_classes] true
Sample_Finetuning_SIIMACR/I1_classification/test_res_ft.py:24
↓ 1 callersFunctioncompute_AUCs
Computes Area Under the Curve (AUC) from prediction scores. Args: gt: Pytorch tensor on GPU, shape = [n_samples, n_classes] true
Sample_zero-shot_Classification_CXR14/test.py:44
↓ 1 callersFunctioncreate_adj_matrix
(args)
PreTrain_MedKLIP/data_file/preprocessing/adj_matrix.py:221
↓ 1 callersFunctioncreate_class_weight
(labels_dict, mu=0.5)
Sample_Finetuning_SIIMACR/I2_segmentation/metric.py:97
↓ 1 callersFunctioncreate_optimizer
(args, model, filter_bias_and_bn=True)
PreTrain_MedKLIP/optim/optim_factory.py:40
↓ 1 callersFunctioncreate_optimizer
(args, model, filter_bias_and_bn=True)
Sample_Finetuning_SIIMACR/I1_classification/optim/optim_factory.py:40
↓ 1 callersFunctioncreate_optimizer
(args, model, filter_bias_and_bn=True)
Sample_Finetuning_SIIMACR/I2_segmentation/optim/optim_factory.py:40
↓ 1 callersFunctioncreate_scheduler
(args, optimizer)
PreTrain_MedKLIP/scheduler/scheduler_factory.py:10
↓ 1 callersFunctioncreate_scheduler
(args, optimizer)
Sample_Finetuning_SIIMACR/I1_classification/scheduler/scheduler_factory.py:10
↓ 1 callersFunctioncreate_scheduler
(args, optimizer)
Sample_Finetuning_SIIMACR/I2_segmentation/scheduler/scheduler_factory.py:10
↓ 1 callersFunctiondice
(logit, truth, threshold=0.5)
Sample_Finetuning_SIIMACR/I2_segmentation/metric.py:8
↓ 1 callersFunctionfbeta_score
(y_true, y_pred, beta, threshold, eps=1e-9)
Sample_Finetuning_SIIMACR/I2_segmentation/metric.py:81
↓ 1 callersMethodforward_post
(self, tgt, memory, tgt_mask: Optional[Tensor] = None, memory_mask:
PreTrain_MedKLIP/models/transformer.py:83
↓ 1 callersMethodforward_post
(self, tgt, memory, tgt_mask: Optional[Tensor] = None, memory_mask:
Sample_Zero-Shot_Grounding_RSNA/models/transformer.py:83
↓ 1 callersMethodforward_post
(self, tgt, memory, tgt_mask: Optional[Tensor] = None, memory_mask:
Sample_zero-shot_Classification_CXR14/models/transformer.py:83
↓ 1 callersMethodforward_pre
(self, tgt, memory, tgt_mask: Optional[Tensor] = None, memory_mask: Op
PreTrain_MedKLIP/models/transformer.py:109
↓ 1 callersMethodforward_pre
(self, tgt, memory, tgt_mask: Optional[Tensor] = None, memory_mask: Op
Sample_Zero-Shot_Grounding_RSNA/models/transformer.py:109
↓ 1 callersMethodforward_pre
(self, tgt, memory, tgt_mask: Optional[Tensor] = None, memory_mask: Op
Sample_zero-shot_Classification_CXR14/models/transformer.py:109
↓ 1 callersFunctionget_entity_relation
itemize each relation
PreTrain_MedKLIP/data_file/preprocessing/radgraph_itemized.py:46
↓ 1 callersMethodget_epoch_values
(self, epoch: int)
PreTrain_MedKLIP/scheduler/scheduler.py:61
↓ 1 callersMethodget_epoch_values
(self, epoch: int)
Sample_Finetuning_SIIMACR/I1_classification/scheduler/scheduler.py:61
↓ 1 callersMethodget_epoch_values
(self, epoch: int)
Sample_Finetuning_SIIMACR/I2_segmentation/scheduler/scheduler.py:61
↓ 1 callersFunctionget_ids
Convert keys in the RadGraph file into IDs
PreTrain_MedKLIP/data_file/preprocessing/radgraph_itemized.py:22
↓ 1 callersMethodget_random_ops
(self)
PreTrain_MedKLIP/dataset/randaugment.py:321
↓ 1 callersMethodget_random_ops
(self)
Sample_Finetuning_SIIMACR/I1_classification/dataset/randaugment.py:321
↓ 1 callersMethodget_random_ops
(self)
Sample_Finetuning_SIIMACR/I2_segmentation/dataset/randaugment.py:321
↓ 1 callersMethodget_random_ops
(self)
Sample_zero-shot_Classification_CXR14/dataset/randaugment.py:321
↓ 1 callersFunctionget_rank
()
PreTrain_MedKLIP/utils.py:225
↓ 1 callersFunctionget_rank
()
Sample_Finetuning_SIIMACR/I2_segmentation/utils.py:247
↓ 1 callersFunctionget_sen_from_token_ix
get the sentence to which the input token index belongs.
PreTrain_MedKLIP/data_file/preprocessing/radgraph_itemized.py:31
↓ 1 callersFunctionget_tokenizer
(tokenizer,target_text)
Sample_zero-shot_Classification_CXR14/test.py:62
↓ 1 callersMethodget_update_values
(self, num_updates: int)
PreTrain_MedKLIP/scheduler/scheduler.py:64
↓ 1 callersMethodget_update_values
(self, num_updates: int)
Sample_Finetuning_SIIMACR/I1_classification/scheduler/scheduler.py:64
↓ 1 callersMethodget_update_values
(self, num_updates: int)
Sample_Finetuning_SIIMACR/I2_segmentation/scheduler/scheduler.py:64
↓ 1 callersMethodglobal_avg
(self)
PreTrain_MedKLIP/utils.py:105
↓ 1 callersMethodimage_encoder
16 torch.Size([16, 1024, 14, 14]) torch.Size([16, 196, 1024]) torch.Size([3136, 1024]) torch.Size([16, 196, 256])
PreTrain_MedKLIP/models/model_MedKLIP.py:119
↓ 1 callersMethodimage_encoder
16 torch.Size([16, 1024, 14, 14]) torch.Size([16, 196, 1024]) torch.Size([3136, 1024]) torch.Size([16, 196, 256])
Sample_Zero-Shot_Grounding_RSNA/models/model_MedKLIP.py:97
↓ 1 callersMethodimage_encoder
16 torch.Size([16, 1024, 14, 14]) torch.Size([16, 196, 1024]) torch.Size([3136, 1024]) torch.Size([16, 196, 256])
Sample_zero-shot_Classification_CXR14/models/model_MedKLIP.py:91
↓ 1 callersFunctionis_main_process
()
PreTrain_MedKLIP/utils.py:231
↓ 1 callersFunctionis_main_process
()
Sample_Finetuning_SIIMACR/I2_segmentation/utils.py:253
↓ 1 callersFunctionload_vocab
Loads a vocabulary file into a dictionary.
PreTrain_MedKLIP/models/tokenization_bert.py:97
↓ 1 callersFunctionload_vocab
Loads a vocabulary file into a dictionary.
Sample_Zero-Shot_Grounding_RSNA/models/tokenization_bert.py:97
↓ 1 callersFunctionload_vocab
Loads a vocabulary file into a dictionary.
Sample_zero-shot_Classification_CXR14/models/tokenization_bert.py:97
↓ 1 callersMethodlog_every
(self, iterable, print_freq, header=None)
PreTrain_MedKLIP/utils.py:120
↓ 1 callersFunctionmIoU
:param results: b w h :param masks: b w h :param threshold: 0.5 :return:
Sample_Finetuning_SIIMACR/I2_segmentation/metric.py:43
↓ 1 callersFunctionmain
(args, config)
PreTrain_MedKLIP/train_MedKLIP.py:101
↓ 1 callersFunctionmain
(args, config)
Sample_Zero-Shot_Grounding_RSNA/test.py:54
↓ 1 callersFunctionmain
(args, config)
Sample_Finetuning_SIIMACR/I1_classification/train_res_ft.py:83
↓ 1 callersFunctionmain
(args, config)
Sample_Finetuning_SIIMACR/I2_segmentation/train_res_ft.py:84
↓ 1 callersFunctionobs_lemmatization
Lemmatize observation Args: x: a observation token Return: normalized observation
PreTrain_MedKLIP/data_file/preprocessing/radgraph_parsed.py:21
↓ 1 callersFunctionposterize_level_to_args
(MAX_LEVEL)
PreTrain_MedKLIP/dataset/randaugment.py:251
↓ 1 callersFunctionposterize_level_to_args
(MAX_LEVEL)
Sample_Finetuning_SIIMACR/I1_classification/dataset/randaugment.py:251
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