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Functions6,528 in github.com/ShenDezhou/CAIL

⨍ Functions 6,528◇ Types & classes 1,183↳ Endpoints 4
↓ 3 callersFunctionpredict
(model, dataloader, example_dict, feature_dict, prediction_file, need_sp_logit_file=False)
CAIL2020/ydljx/main.py:59
↓ 3 callersFunctionpredict
(model, dataloader, example_dict, feature_dict, prediction_file, need_sp_logit_file=False)
CAIL2020/ydljy/main.py:59
↓ 3 callersMethodprepare_config_and_inputs
(self)
CAIL2020/ydlj/baseline/transformers/tests/modeling_tf_roberta_test.py:92
↓ 3 callersMethodprepare_config_and_inputs
(self)
CAIL2020/ydlj/baseline/transformers/tests/modeling_ctrl_test.py:93
↓ 3 callersMethodprepare_config_and_inputs
(self)
CAIL2020/ydlj/baseline/transformers/tests/modeling_tf_ctrl_test.py:91
↓ 3 callersMethodprepare_config_and_inputs
(self)
CAIL2020/ydlj/baseline/transformers/tests/modeling_tf_transfo_xl_test.py:86
↓ 3 callersMethodprepare_config_and_inputs
(self)
CAIL2020/ydlj/baseline/transformers/tests/modeling_roberta_test.py:89
↓ 3 callersMethodprepare_config_and_inputs
(self)
CAIL2020/ydlj/baseline/transformers/tests/modeling_transfo_xl_test.py:85
↓ 3 callersMethodprocess
(self, data, config, mode, *args, **params)
CAIL2020/sfksz/formatter/Basic.py:6
↓ 3 callersMethodprocess
(self, data, config, mode, *args, **params)
CAIL2020/sfkst/data.py:82
↓ 3 callersMethodprocess
(self, data, config, mode, *args, **params)
CAIL2020/sfksu/data.py:82
↓ 3 callersMethodprocess
(self, data, config, mode, *args, **params)
CAIL2020/sfks/formatter/qa/HAF.py:34
↓ 3 callersFunctionread_examples
(full_file)
CAIL2020/ydljztpus/data_process.py:104
↓ 3 callersFunctionread_examples
(full_file)
CAIL2020/ydljztpu/data_process.py:104
↓ 3 callersFunctionread_examples
(full_file)
CAIL2020/ydljz(hong)tpu/data_process.py:104
↓ 3 callersFunctionresult_to_json
(string, tags)
CAIL2018/xsfl/data_utils.py:298
↓ 3 callersFunctionresult_to_json
(string, tags)
CAIL2020/jesb/data_utils.py:298
↓ 3 callersMethodsave_model
Save model to file. Args: filename: file name
CAIL2020/lbwj/train.py:158
↓ 3 callersFunctionset_config
()
CAIL2020/ydljtpu/config.py:20
↓ 3 callersFunctionset_config
()
CAIL2020/ydljx/config.py:20
↓ 3 callersFunctionset_config
()
CAIL2020/ydljy/config.py:20
↓ 3 callersFunctionshortenlines
(raw_html)
CAIL2021/stxq/dataclean.py:40
↓ 3 callersFunctionshortenlines
(raw_html)
CAIL2021/slsb/dataclean.py:40
↓ 3 callersFunctionshortenlines
(raw_html)
CAIL2020/htflx/dataclean.py:40
↓ 3 callersFunctionshortenlines
(raw_html)
CAIL2020/htfl/dataclean.py:40
↓ 3 callersFunctionshortenlines
(raw_html)
CAIL2020/sfzyzc/dataclean.py:40
↓ 3 callersFunctionshortenlines
(raw_html)
CAIL2020/sfzyzc/sfzyza/dataclean.py:40
↓ 3 callersFunctionshortenlines
(raw_html)
CAIL2020/sfzyzc/sfzyzb/dataclean.py:40
↓ 3 callersFunctionshortenlines
(raw_html)
CAIL2020/sfzyza/dataclean.py:40
↓ 3 callersFunctionshortenlines
(raw_html)
CAIL2020/htfltpu/dataclean.py:40
↓ 3 callersFunctionshortenlines
(raw_html)
CAIL2020/ayfl/dataclean.py:40
↓ 3 callersFunctionshortenlines
(raw_html)
CAIL2020/sfzyzb/dataclean.py:40
↓ 3 callersMethodsplit_heads
(self, x)
CAIL2020/ydlj/baseline/transformers/modeling_tf_openai.py:132
↓ 3 callersMethodsplit_heads
(self, x)
CAIL2020/ydlj/baseline/transformers/modeling_tf_gpt2.py:126
↓ 3 callersMethodsplit_heads
(self, x, k=False)
CAIL2020/ydlj/baseline/transformers/modeling_gpt2.py:173
↓ 3 callersMethodsplit_heads
(self, x, k=False)
CAIL2020/ydlj/baseline/transformers/modeling_openai.py:198
↓ 3 callersMethodsplit_into_heads
(self, x, batch_size)
CAIL2020/ydlj/baseline/transformers/modeling_ctrl.py:99
↓ 3 callersMethodsplit_into_heads
(self, x, batch_size)
CAIL2020/ydlj/baseline/transformers/modeling_tf_ctrl.py:92
↓ 3 callersFunctionsquash
(x)
CAIL2020/ydljz(hong)/capsnet.py:7
↓ 3 callersMethodtie_weights
Make sure we are sharing the data and output embeddings. Export to TorchScript can't handle parameter sharing so we are cloning them inst
CAIL2020/ydlj/baseline/transformers/modeling_utils.py:115
↓ 3 callersMethodto_json_file
Save this instance to a json file.
CAIL2020/ydlj/baseline/transformers/configuration_utils.py:212
↓ 3 callersMethodtokenize
Cut words for a sentence. Args: sentence: sentence Returns: words list
CAIL2021/stxq/data.py:76
↓ 3 callersMethodtokenize
Tokenizes a piece of text into characters. For example: data = "apple" output = ["a", "p", "p", "l", "e"] Arg
CAIL2020/ydlj/baseline/transformers/tokenization_bert_japanese.py:230
↓ 3 callersMethodtokenize
Cut words for a sentence. Args: sentence: sentence Returns: words list
CAIL2020/sfzyzc/sfzyza/data.py:73
↓ 3 callersMethodtokenize
Cut words for a sentence. Args: sentence: sentence Returns: words list
CAIL2020/sfzyza/data.py:73
↓ 3 callersMethodtokenize
Cut words for a sentence. Args: sentence: sentence Returns: words list
CAIL2020/rlfl/data.py:73
↓ 3 callersFunctiontrain_SVC
(vec, label)
CAIL2018/svc/svm.py:64
↓ 3 callersMethodtranspose_for_scores
(self, x, batch_size)
CAIL2020/ydlj/baseline/transformers/modeling_tf_bert.py:214
↓ 2 callersFunctionPythonROUGE
Wrapper function to use ROUGE from Python easily.
CAIL2020/sfzywg/PythonROUGE.py:22
↓ 2 callersFunctionPythonROUGE
Wrapper function to use ROUGE from Python easily.
CAIL2020/sfzyzc/PythonROUGE.py:22
↓ 2 callersFunctionPythonROUGE
Wrapper function to use ROUGE from Python easily.
CAIL2020/sfzyzc/sfzyza/PythonROUGE.py:22
↓ 2 callersFunctionPythonROUGE
Wrapper function to use ROUGE from Python easily.
CAIL2020/sfzyza/PythonROUGE.py:22
↓ 2 callersMethod__init__
(self, args, output_capsule_num, input_capsule_num, in_channels, out_channels)
CAIL2021/stxq/capsnetx.py:110
↓ 2 callersMethod__init__
(self, args, output_capsule_num, input_capsule_num, in_channels, out_channels)
CAIL2021/slsb/capsnetx.py:110
↓ 2 callersMethod__init__
(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=6
CAIL2020/ydljz/resnet2d.py:128
↓ 2 callersMethod__init__
(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=6
CAIL2020/ydljz/resnet.py:127
↓ 2 callersMethod__init__
(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=6
CAIL2020/ydljzs/resnet2d.py:128
↓ 2 callersMethod__init__
(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=6
CAIL2020/ydljzs/resnet.py:127
↓ 2 callersMethod__init__
(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=6
CAIL2020/ydljztpus/resnet2d.py:128
↓ 2 callersMethod__init__
(self, args, output_capsule_num, input_capsule_num, in_channels, out_channels)
CAIL2020/ydljztpus/capsnetx.py:110
↓ 2 callersMethod__init__
(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=6
CAIL2020/ydljztpus/resnet.py:127
↓ 2 callersMethod__init__
(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=6
CAIL2020/ydljzt/resnet2d.py:128
↓ 2 callersMethod__init__
(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=6
CAIL2020/ydljzt/resnet.py:127
↓ 2 callersMethod__init__
(self, config)
CAIL2020/ydlj/baseline/model/GFN.py:91
↓ 2 callersMethod__init__
(self, config)
CAIL2020/ydlj/baseline/model/modeling.py:91
↓ 2 callersMethod__init__
(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=6
CAIL2020/ydljtpu/resnet.py:126
↓ 2 callersMethod__init__
(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=6
CAIL2020/ydljztpu/resnet2d.py:128
↓ 2 callersMethod__init__
(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=6
CAIL2020/ydljztpu/resnet.py:127
↓ 2 callersMethod__init__
(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=6
CAIL2020/ydljx/resnet.py:126
↓ 2 callersMethod__init__
(self, args, output_capsule_num, input_capsule_num, in_channels, out_channels)
CAIL2020/zwfc/capsnetx.py:110
↓ 2 callersMethod__init__
(self, args, output_capsule_num, input_capsule_num, in_channels, out_channels)
CAIL2020/sfksz/model/qa/capsnetx.py:110
↓ 2 callersMethod__init__
(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=6
CAIL2020/sfksz/model/qa/resnet.py:127
↓ 2 callersMethod__init__
(self, args, output_capsule_num, input_capsule_num, in_channels, out_channels)
CAIL2020/jesbl/capsnetx.py:110
↓ 2 callersMethod__init__
(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=6
CAIL2020/ydljz(hong)tpu/resnet2d.py:128
↓ 2 callersMethod__init__
(self, args, output_capsule_num, input_capsule_num, in_channels, out_channels)
CAIL2020/ydljz(hong)tpu/capsnetx.py:110
↓ 2 callersMethod__init__
(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=6
CAIL2020/ydljz(hong)tpu/resnet.py:127
↓ 2 callersMethod__init__
(self, args, output_capsule_num, input_capsule_num, in_channels, out_channels)
CAIL2020/sfzyzc/sfzyza/capsnetx.py:110
↓ 2 callersMethod__init__
(self, args, output_capsule_num, input_capsule_num, in_channels, out_channels)
CAIL2020/sfzyza/capsnetx.py:110
↓ 2 callersMethod__init__
(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=1
CAIL2020/lbwjtpu/resnet.py:126
↓ 2 callersMethod__init__
(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=1
CAIL2020/lbwj/resnet.py:126
↓ 2 callersMethod__init__
Based on RARE TPS input: batch_I: Batch Input Image [batch_size x I_channel_num x I_height x I_width] I_size : (heigh
CAIL2020/cocr/torchocr/networks/stns/TPS.py:12
↓ 2 callersMethod__init__
(self, in_channels, **kwargs)
CAIL2020/cocr/torchocr/networks/necks/RecSequenceDecoder.py:46
↓ 2 callersMethod__init__
(self, eps=1e-6)
CAIL2020/cocr/torchocr/networks/losses/DetBasicLoss.py:66
↓ 2 callersMethod__init__
(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=6
CAIL2020/ydljz(hong)/resnet2d.py:128
↓ 2 callersMethod__init__
(self, args, output_capsule_num, input_capsule_num, in_channels, out_channels)
CAIL2020/ydljz(hong)/capsnetx.py:111
↓ 2 callersMethod__init__
(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=6
CAIL2020/ydljz(hong)/resnet.py:127
↓ 2 callersMethod__len__
(self)
CAIL2020/cocr/torchocr/datasets/DetDataSet.py:116
↓ 2 callersFunction_compute_softmax
Compute softmax probability over raw logits.
CAIL2020/ydlj/baseline/transformers/data/metrics/squad_metrics.py:345
↓ 2 callersMethod_convert_id_to_token
(self, index)
CAIL2020/ydlj/baseline/transformers/tokenization_utils.py:1146
↓ 2 callersMethod_convert_sentence_pair_to_bert_dataset
Convert sentence pairs to dataset for BERT model. Args: sc_list, bc_list: List[List[str]], list of word tokens list l
CAIL2020/zwfc/data.py:315
↓ 2 callersMethod_convert_sentence_pair_to_bert_dataset
Convert sentence pairs to dataset for BERT model. Args: sc_list, bc_list: List[List[str]], list of word tokens list l
CAIL2020/sfksz/formatter/BertWordFormatter.py:36
↓ 2 callersMethod_convert_sentence_pair_to_bert_dataset
Convert sentence pairs to dataset for BERT model. Args: sc_list, bc_list: List[List[str]], list of word tokens list l
CAIL2020/lbwj/data.py:312
↓ 2 callersMethod_convert_sentence_pair_to_rnn_dataset
Convert sentences pairs to dataset for RNN model. Args: sc_list, bc_list: List[List[str]], list of word tokens list l
CAIL2020/lbwj/data.py:360
↓ 2 callersMethod_convert_token_to_id_with_added_voc
(self, token)
CAIL2020/ydlj/baseline/transformers/tokenization_utils.py:721
↓ 2 callersMethod_create_examples
Creates examples for the training and dev sets.
CAIL2020/ydlj/baseline/transformers/data/processors/glue.py:179
↓ 2 callersMethod_create_examples
Creates examples for the training and dev sets.
CAIL2020/ydlj/baseline/transformers/data/processors/glue.py:219
↓ 2 callersMethod_create_examples
Creates examples for the training and dev sets.
CAIL2020/ydlj/baseline/transformers/data/processors/glue.py:268
↓ 2 callersMethod_create_examples
Creates examples for the training and dev sets.
CAIL2020/ydlj/baseline/transformers/data/processors/glue.py:304
↓ 2 callersMethod_create_examples
Creates examples for the training and dev sets.
CAIL2020/ydlj/baseline/transformers/data/processors/glue.py:342
↓ 2 callersMethod_create_examples
Creates examples for the training and dev sets.
CAIL2020/ydlj/baseline/transformers/data/processors/glue.py:424
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