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* Add new config about knowledge distillation for query binary classifier * remove inferenced result in knowledge distillation for query binary classifier * Add AUC.py in tools folder * Add test_data_path into conf_kdqbc_bilstmattn_cnn.json * Modify AUC.py * Rename AUC.py into calculate_AUC.py * Modify test&calculate AUC commands for Knowledge Distillation for Query Binary Classifier * Add cpu_thread_num parameter in conf.training_params * Rename cpu_thread_num into cpu_num_workers * update comments in ModelConf.py * Add cup_num_workers in model_zoo/advanced/conf.json * Add the description of cpu_num_workers in Tutorial.md * Update inference speed of compressed model * Add ProcessorsScheduler Class * Add license in ProcessorScheduler.py * use lazy loading instead of one-off loading * Remove Debug Info in problem.py * use open instead of codecs.open * update the inference of build dictionary for classification * add md5 function in common_utils.py * add merge_encode_* function * update typo * update typo * reorg the logical flow in train.py * remove dummy comments in problem.py * add encoding cache mechanism * add lazy-load mechanism for training phase * enumerate problem types in problem.py * remove data_encoding.py * add lazy load train logic * Modify comment and remove debug code * Judge if test_path exists * fix parameter missing when use char embedding * merge master * add file_column_num in problem.py * merge add_encoding_cache branch * add SST-2 in .gitignore * merge master * use steps_per_validation instead of valid_times_per_epoch * Fix Learning Rate decay logic bug * add log of calculating md5 of training data * fix multi-gpu char_emb OOM problem & add char leval fix_lengths * Modify batch_num_to_show_results in multi-gpu * Modify batch_num_to_show_results * delete deepcopy in get_batches * add new parameters chunk_size and max_building_lines in conf and update tutorials |
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| nlp_tasks | ||