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Functions152 in github.com/debjitpaul/refiner

↓ 1 callersMethodpredict
(self, test_file, per_gpu_eval_batch_size, max_generated_tokens)
src/refiner.py:385
↓ 1 callersFunctionreload_answer_validity
()
docs/static/js/critic_model.js:13
↓ 1 callersMethodremove_operations
(self, equation)
data_preprocessing/create_negative_examples_mwp.py:83
↓ 1 callersFunctionsave_dataset
(dataset, path)
data_preprocessing/prepare_snlr_datasets.py:41
↓ 1 callersFunctionswap
(r, index, count)
src/eval/conala_eval.py:154
↓ 1 callersMethodtrain
Train the model
src/exp_t5_lm.py:101
↓ 1 callersMethodtrain
Train the model
src/refiner.py:98
↓ 1 callersFunctiontraining
(training_file, dev_file, trained_models_dir, trained_critique_dir, per
src/scripts/test_predict.py:12
↓ 1 callersFunctiontraining
(training_file, dev_file, trained_models_dir, per_gpu_train_batch_size,
src/scripts/finetune.py:19
↓ 1 callersFunctiontraining
(training_file, dev_file, trained_models_dir, trained_critique_dir, per
src/scripts/train_refiner.py:17
↓ 1 callersMethodtree2linear
- + number1 number2 number3 --> add(number1, number2) | subtract(#0, number3) - number1 + number2 number3 --> add(number2, number3) |
docs/services/data_service.py:86
Method__getitem__
(self, index)
data_preprocessing/utils.py:166
Method__init__
(self, max_seq_length, output_model_dir, output_critique_mo
src/exp_t5_lm.py:39
Method__init__
(self, max_seq_length, output_model_dir, pretrained_model_n
src/finetune.py:26
Method__init__
(self, max_seq_length, output_model_dir, output_critique_mo
src/test_lm.py:39
Method__init__
(self, max_seq_length, output_model_dir, output_critique_mo
src/refiner.py:30
Method__init__
(self, dataset, batch_size)
src/data_processing/multi_task_batch_scheduler.py:12
Method__init__
Initialisation of actor critic model Args: actor_model_dir (_type_): directory of actor pretrained model critic_model
docs/services/model_service.py:10
Method__init__
init from file
docs/services/data_service.py:8
Method__init__
(self, data, tokenizer, source_col="input", target_col="target", max_source_len=512, max_target_len=512)
data_preprocessing/utils.py:155
Method__init__
(self, data_file)
data_preprocessing/create_negative_examples_mwp.py:10
Method__iter__
(self)
src/data_processing/multi_task_batch_scheduler.py:21
Method__len__
(self)
src/data_processing/multi_task_batch_scheduler.py:18
Method__len__
(self)
data_preprocessing/utils.py:163
Method_add_gen_input
(self, gen, input_ids, label)
src/test_lm.py:726
Method_add_gen_input
(self, gen, input_ids, label)
src/refiner.py:669
Method_critique_function_batch
------------------------ Parameter: generated explantion: gold explanation: ------------------------
src/exp_t5_lm.py:511
Method_critique_function_batch
------------------------ Parameter: generated explantion: gold explanation: ------------------------
src/test_lm.py:417
Method_critique_function_batch
------------------------ Parameter: generated explantion: gold explanation: ------------------------
src/refiner.py:434
Method_critique_gen
------------------------ Parameter: generated explantion: gold explanation: ------------------------
src/exp_t5_lm.py:591
Method_critique_gen
------------------------ Parameter: generated explantion: gold explanation: ------------------------
src/refiner.py:522
Functionactor_first_turn
Actor model first turn on the selected data Returns: output: linear equation generate by the model (split by operations)
docs/webpage_project.py:104
Functionactor_second_turn
Actor model second turn on the selected data and with the selected hint Returns: output : linear formula generate by the model
docs/webpage_project.py:160
Functioncall_critic
perform critic to generate hint : two type of critic automatic (critic model) and oracle (the true critic based on the true linear equation)
docs/webpage_project.py:131
Functioncanonicalize_code
(code, slot_map)
src/data_processing/canonicalize.py:51
Functioncanonicalize_intent
(intent)
src/data_processing/canonicalize.py:12
Functioncompute_bleu
Computes BLEU score of translated segments against one or more references. Args: reference_corpus: list of lists of references for each translat
src/eval/bleu_score.py:45
Functiondata_selection
load data in the select bar Returns: math_pb and label: math problem do dispay and there labels (index;file)
docs/webpage_project.py:41
Functiondecanonicalize_code
(code, slot_map)
src/data_processing/canonicalize.py:61
Functiondisplay_data
get the selected data to display on the page Returns: problem selected: math problem selected to display
docs/webpage_project.py:77
Functionevaluate_bleu
(reference_list, hypothesis_list)
src/eval/conala_eval.py:136
Functionget_glucose_general_data
(glucose_data)
data_preprocessing/utils.py:142
Functionget_glucose_specific_data
(glucose_data)
data_preprocessing/utils.py:148
Functionget_placeholders
()
data_preprocessing/utils.py:87
Functionget_reference_list
(reference_file_name)
src/eval/conala_eval.py:124
Functionhas_story_overlap
(head: str, tail: str, story: str, threshold: float, selected_context: str = None, dim: int = 1,
data_preprocessing/utils.py:118
Functionhome
load html page home
docs/webpage_project.py:33
Methodpredict
(self, test_file, per_gpu_eval_batch_size, max_generated_tokens)
src/exp_t5_lm.py:462
Methodpredict
(self, test_file, per_gpu_eval_batch_size, max_generated_tokens)
src/finetune.py:256
Functiontokenize_code
(string, concat_symbol=None)
src/eval/conala_eval.py:108
Methodtrain
Train the model
src/finetune.py:87
Functionwrite_t5_predictions
Write final predictions to the json file and log-odds of null if needed.
src/data_processing/processor.py:75
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