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Functions7,542 in github.com/PaddlePaddle/Research

⨍ Functions 7,542◇ Types & classes 893↳ Endpoints 4
↓ 8 callersFunctionpad_feature_data
for image feature sequence padding
NLP/UNIMO/src/reader/batching.py:93
↓ 8 callersMethodput
put an object to this queue
CV/PaddleReid/reid/data/shared_queue/queue.py:65
↓ 8 callersFunctionremove_punctuation
(line)
NLP/Conversational-Recommendation-BASELINE/conversational_recommendation/goal_planning/data_generator/data_generator.py:96
↓ 8 callersMethodstart
(self)
CV/SemSegPaddle/src/utils/timer.py:39
↓ 8 callersMethodstart
start
ST_DM/KDD2021-MSTPAC/code/ST-PAC/frame/core/base_frame.py:439
↓ 8 callersMethodtokenize
tokenize the text
NLP/UNIMO/src/model/tokenization.py:314
↓ 7 callersMethod__init__
(self, in_features, hidden_features, dropout)
CV/Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection/easymia/model/brain_intracranial_hemorrhage_clas/swin_transformers.py:164
↓ 7 callersMethod__init__
(self, in_features, hidden_features, dropout)
CV/Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection/easymia/model/brain_intracranial_hemorrhage_clas/swin_transformers_update.py:165
↓ 7 callersMethod_get_val_index
(self, val, value_dict)
NLP/Text2SQL-BASELINE/text2sql/dataproc/sql_preproc_v2.py:128
↓ 7 callersMethod_load_object
(self, cfg: dict)
CV/Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection/easymia/libs/config.py:431
↓ 7 callersMethodaccumulate
Not implemented
KG/DuKEVU_Baseline/paddle-video-classify-tag/metrics/metrics_util.py:44
↓ 7 callersFunctionaccuracy_score
metric for sample classify score, if label == score, then plus 1 else 0
ST_DM/KDD2021-MSTPAC/code/MST-PAC/utils/model_eval/calc_accuracy.py:18
↓ 7 callersMethodadd
add
CV/Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection/easymia/utils/progbar.py:216
↓ 7 callersMethodadd_cmdline_argument
Add the cmdline arguments of trainer.
NLP/Dialogue-PLATO/plato/trainer.py:97
↓ 7 callersMethodbeam_search
Beam search function
NLP/ACL2020-GraphSum/src/networks/graphsum/graphsum_model.py:531
↓ 7 callersMethodconv_bn_layer
(self, input, num_filters, filter_size,
CV/CLPI-Collaborative-Learning-for-Diabetic-Retinopathy-Grading/clfnet/resnet.py:112
↓ 7 callersMethodconv_bn_layer
(self, input, num_filters, filter_size,
CV/AGEchallenge/LocalizationFCN/resnet_modified.py:112
↓ 7 callersMethodconv_bn_layer
(self, input, num_filters, filter_size,
CV/AGEchallenge/Classification/resnet.py:111
↓ 7 callersMethodconv_bn_layer
(self, input, num_filters, filter_size,
CV/AGEchallenge/LocalizationUNet/resnet.py:101
↓ 7 callersMethodconvert_tokens_to_ids
(self, tokens)
NLP/NAACL2021-RocketQA/model/src/tokenization.py:130
↓ 7 callersMethoddata_generator
data_generator
NLP/UNIMO/src/reader/regression_reader.py:189
↓ 7 callersFunctiondata_reader
data_reader
NLP/EMNLP2019-MAL/src/reader.py:206
↓ 7 callersMethoddecode
Transform a sequence of int ids into a human-readable string. EOS is not expected in ids. Args: ids: list of integers to b
NLP/EMNLP2019-MAL/src/preprocess/text_encoder.py:187
↓ 7 callersMethoddecode
bpe decoding
NLP/EMNLP2021-SgSum/src/roberta/roberta_tokenization.py:218
↓ 7 callersMethoddecode
bpe decoding
NLP/EMNLP2021-SgSum/src/data_preprocess/roberta/roberta_tokenization.py:218
↓ 7 callersMethoddistance
Desc: 计算两个类之间的距离, 两个类距离的定义为: cluster A 的宽度为(xa, ya), cluster B 的宽度为(xb, yb) A, B合并后的类cluster C 的宽度为(xc, yc), xc
ST_DM/GenRegion/src/generate/gen/cluster.py:365
↓ 7 callersFunctioneinsum4x4
(equation, x, y)
NLP/MRQA2019-D-NET/server/xlnet_server/modeling.py:6
↓ 7 callersFunctionevaluate
evaluation for dev and test dataset.
NLP/NAACL2019-MPM/run_classifier.py:105
↓ 7 callersFunctionfunc
(var)
CV/CLPI-Collaborative-Learning-for-Diabetic-Retinopathy-Grading/inference.py:60
↓ 7 callersFunctionget_pairs
Return set of symbol pairs in a word. Word is represented as tuple of symbols (symbols being variable-length strings).
NLP/UNIMO/src/model/tokenization.py:145
↓ 7 callersMethodis_train
(phase)
CV/SemSegPaddle/src/models/model_builder.py:31
↓ 7 callersMethodmodel
(self)
CV/Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection/easymia/libs/config.py:285
↓ 7 callersMethodnet
(self,input, is_train=False, class_dim=751, num_features = 512)
CV/PaddleReid/reid/model/__init__.py:40
↓ 7 callersMethodnet
(self, input, num_classes=1000)
CV/SemSegPaddle/src/models/backbone/hrnet.py:161
↓ 7 callersMethodparse_cond
(self, cond, optional=False)
NLP/Text2SQL-BASELINE/text2sql/grammars/dusql_v2.py:188
↓ 7 callersMethodparse_cond
(self, cond, optional=False)
NLP/Text2SQL-BASELINE/text2sql/grammars/cspider_v2.py:194
↓ 7 callersFunctionprint_arguments
print arguments
NLP/UNIMO/src/utils/args.py:48
↓ 7 callersMethodreset
(self)
CV/PWCNet/AverageMeter.py:8
↓ 7 callersMethodsave
save
NLP/Text2SQL-BASELINE/text2sql/dataproc/vocab.py:88
↓ 7 callersFunctionsave_model
(exe, postfix, prog)
CV/PaddleReid/train_multiloss.py:156
↓ 7 callersFunctionto_lodtensor
convert to LoDTensor
NLP/Conversational-Recommendation-BASELINE/conversational_recommendation/generative_model/source/utils/utils.py:93
↓ 7 callersMethodtokenize
tokenize
KG/DuEE_baseline/bin/tokenization.py:124
↓ 7 callersMethodtrain
模型训练for-loop
CV/Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection/easymia/trainer/trainer.py:132
↓ 7 callersMethodtrain
train
ST_DM/KDD2021-SSML/ssml_model.py:519
↓ 7 callersFunctionword_replace
(word)
NLP/Conversational-Recommendation-BASELINE/conversational_recommendation/goal_planning/data_generator/data_generator.py:90
↓ 6 callersMethod__init__
(self, channel_first=True)
CV/PaddleReid/reid/data/transform/operators.py:50
↓ 6 callersMethod__init__
(self, args, is_cropped=False, root='', dstype='clean', replicates=1)
CV/PWCNet/data/datasets.py:52
↓ 6 callersFunction_abort
Create custom error message and status code
NLP/MRQA2019-D-NET/server/bert_server/mrc_service.py:28
↓ 6 callersFunction_abort
Create custom error message and status code
NLP/MRQA2019-D-NET/server/ernie_server/mrc_service.py:28
↓ 6 callersFunction_abort
Create custom error message and status code
NLP/MRQA2019-D-NET/server/xlnet_server/server_utils.py:28
↓ 6 callersMethod_create_mask
Create attention mask. @param : input_mask @type : Variable(shape: [batch_size, max_seq_len]) @param : auto_regress
NLP/Dialogue-PLATO/plato/models/unified_transformer.py:265
↓ 6 callersFunction_is_numpy_image
(img)
CV/Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection/easymia/transforms/functional.py:33
↓ 6 callersFunction_parse_raw_att
pool(list): raw, att, lens
ST_DM/KDD2020-P3AC/nets/poi_qac_personalized/qac_personalized.py:271
↓ 6 callersFunction_parse_raw_att
pool(list): raw, att, lens
ST_DM/KDD2021-MSTPAC/code/ST-PAC/nets/poi_qac_personalized/qac_personalized.py:271
↓ 6 callersFunction_parse_raw_att
pool(list): raw, att, lens
ST_DM/KDD2021-MSTPAC/code/MST-PAC/nets/poi_qac_personalized/qac_personalized.py:271
↓ 6 callersMethodadd_friend
Desc: 添加一个朋友到self中, 计算self与hc之间的距离, 修正首元素 Args: self : self hc : new hc cluster dist : 距离
ST_DM/GenRegion/src/generate/gen/cluster.py:400
↓ 6 callersMethodcenter
Desc: 获取聚类的中心点, 聚类的中心点是类中所有vip点mbr的中心点 Args: self : self Return: mygeo.Point(x, y) Raise:
ST_DM/GenRegion/src/generate/gen/cluster.py:168
↓ 6 callersMethodclear
清空
CV/Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection/easymia/utils/logger.py:86
↓ 6 callersMethodclear
(self)
NLP/Dialogue-PLATO/plato/metrics/metrics_tracker.py:40
↓ 6 callersFunctionconvert_by_vocab
Converts a sequence of [tokens|ids] using the vocab.
NLP/NAACL2021-RocketQA/model/src/tokenization.py:88
↓ 6 callersFunctionconvert_by_vocab
Converts a sequence of [tokens|ids] using the vocab.
NLP/MRQA2019-D-NET/server/bert_server/task_reader/tokenization.py:84
↓ 6 callersFunctionconvert_by_vocab
Converts a sequence of [tokens|ids] using the vocab.
NLP/MRQA2019-D-NET/server/ernie_server/task_reader/tokenization.py:84
↓ 6 callersFunctionconvert_by_vocab
Converts a sequence of [tokens|ids] using the vocab.
NLP/ACL2021-PAIR/model/src/tokenization.py:88
↓ 6 callersFunctionconvert_by_vocab
Converts a sequence of [tokens|ids] using the vocab.
NLP/ACL2019-KTNET/reading_comprehension/src/tokenization.py:84
↓ 6 callersFunctionconvert_by_vocab
Converts a sequence of [tokens|ids] using the vocab.
NLP/DuReader-Robust-BASELINE/src/tokenization.py:85
↓ 6 callersFunctionconvert_by_vocab
Converts a sequence of [tokens|ids] using the vocab.
NLP/MRQA2019-BASELINE/src/tokenization.py:84
↓ 6 callersFunctionconvert_by_vocab
Converts a sequence of [tokens|ids] using the vocab.
KG/AAAI2021_SSAN/utils/tokenization.py:88
↓ 6 callersFunctionconvert_by_vocab
Converts a sequence of [tokens|ids] using the vocab.
KG/DuIE_Baseline/ernie/tokenization.py:88
↓ 6 callersFunctionconvert_by_vocab
Converts a sequence of [tokens|ids] using the vocab.
KG/DuEL_Baseline/ernie/tokenization.py:86
↓ 6 callersFunctionconvert_by_vocab
Converts a sequence of [tokens|ids] using the vocab.
KG/DuEE_baseline/bin/tokenization.py:88
↓ 6 callersFunctionconvert_to_unicode
Converts `text` to Unicode (if it's not already), assuming utf-8 input.
ST_DM/KDD2021-MSTPAC/code/ST-PAC/utils/common_lib.py:57
↓ 6 callersFunctioncrop
Crop the given PIL Image. Args: img (numpy ndarray): Image to be cropped. i: Upper pixel coordinate. j: Left pixel coordin
CV/CLPI-Collaborative-Learning-for-Diabetic-Retinopathy-Grading/opencv_functional.py:136
↓ 6 callersMethodencode
unimo encoder
NLP/UNIMO/src/model/unimo_finetune.py:187
↓ 6 callersFunctionencode_pieces
(sp_model, text, return_unicode=True, sample=False)
NLP/MRQA2019-D-NET/server/xlnet_server/prepro_utils.py:68
↓ 6 callersFunctionevaluate
Evaluate both douban and ubuntu dataset
NLP/ACL2018-DAM/main.py:39
↓ 6 callersFunctionevaluate
evaluate
NLP/UNIMO/src/finetune/visual_entailment.py:212
↓ 6 callersFunctionfind_entity
(id_, predict_result)
KG/DuIE_Baseline/ernie/finetune/relation_extraction_multi_cls.py:377
↓ 6 callersMethodforward
:param bert_output: [batch_size, seq_size, bert_size] :param memory_embs: [batch_size, seq_size, concept_size, mem_emb_size]
NLP/ACL2019-KTNET/reading_comprehension/src/model/layers.py:70
↓ 6 callersMethodget_features
(self, examples, is_training, **concept_settings)
NLP/ACL2019-KTNET/reading_comprehension/src/reader/squad.py:583
↓ 6 callersFunctionget_tensor_by_prefix
(pre_name, param_name_list)
NLP/EMNLP2019-MAL/src/train.py:542
↓ 6 callersMethodgrids
Desc: region所在的grids Args: self : self grid_size : grid_size Return: list of grid, [(x_g
ST_DM/GenRegion/src/region/geometry.py:741
↓ 6 callersMethodheader
get header info of this allocator
CV/PaddleReid/reid/data/shared_queue/sharedmemory.py:250
↓ 6 callersMethodis_chinese_or_punct
(self, c)
KG/DuIE_Baseline/ernie/extract_chinese_and_punct.py:67
↓ 6 callersFunctionlen_to_mask
len to mask
NLP/Conversational-Recommendation-BASELINE/conversational_recommendation/generative_model/source/utils/utils.py:118
↓ 6 callersMethodnext
(self)
CV/PaddleReid/reid/data/reader_mt.py:308
↓ 6 callersFunctionoptimization
optimization funxtion
NLP/UNIMO/src/utils/optimization.py:52
↓ 6 callersFunctionpad
pad
NLP/ACL2019-DuConv/generative_paddle/source/utils/utils.py:71
↓ 6 callersFunctionpad_batch_data
Pad the instances to the max sequence length in batch, and generate the corresponding position data and attention bias.
NLP/EMNLP2019-MAL/src/reader.py:563
↓ 6 callersFunctionpad_batch_data
Pad the instances to the max sequence length in batch, and generate the corresponding position data and attention bias.
KG/DuIE_Baseline/ernie/batching.py:164
↓ 6 callersFunctionpad_batch_data_maxlen
Pad the instances to the max sequence length in batch, and generate the corresponding position data and attention bias.
ST_DM/KDD2021-HGAMN/src/batching.py:217
↓ 6 callersFunctionparse_poi
parse poi
ST_DM/KDD2021-HGAMN/src/dataset/pointwise_dataset.py:40
↓ 6 callersFunctionpredict
(exe, test_program, test_pyreader, graph_vars, dev_count=1)
NLP/UNIMO-2/src/finetune/classifier_grounded.py:130
↓ 6 callersFunctionpredict
predict
NLP/UNIMO/src/finetune/classifier.py:87
↓ 6 callersMethodprint_config
print config
NLP/UNIMO/src/model/unimo_finetune.py:50
↓ 6 callersFunctionpsnr
(img1, img2)
CV/AICity2020-Anomaly-Detection/box_track/box_level_tracking.py:29
↓ 6 callersFunctionreader
reader
NLP/Conversational-Recommendation-BASELINE/conversational_recommendation/goal_planning/model/goal_planning.py:184
↓ 6 callersMethodrecord
记录
CV/Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection/easymia/utils/logger.py:95
↓ 6 callersMethodreid_classifier
(self, input, fea_out_channel, class_num, name=None, is_train=True)
CV/PaddleReid/reid/model/feature_net_multi_branch.py:19
↓ 6 callersMethodstart
start
ST_DM/KDD2021-MSTPAC/code/MST-PAC/frame/core/base_frame.py:426
↓ 6 callersMethodstore_to_file
Write vocab file to disk. Vocab files have one token per line. The file ends in a newline. Reserved tokens are written to the vocab f
NLP/EMNLP2019-MAL/src/preprocess/text_encoder.py:915
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