#!/usr/bin/env bash export FLAGS_enable_parallel_graph=1 export FLAGS_sync_nccl_allreduce=1 export CUDA_VISIBLE_DEVICES=3 export FLAGS_fraction_of_gpu_memory_to_use=0.95 TASK_NAME='simnet' INFER_DATA_PATH=./evaluate/unicom_infer VOCAB_PATH=./data/term2id.dict CKPT_PATH=./model_files INFER_RESULT_PATH=./evaluate/unicom_infer_result TASK_MODE='pairwise' CONFIG_PATH=./config/bow_pairwise.json INIT_CHECKPOINT=./model_files/simnet_bow_pairwise_pretrained_model/ python unicom_split.py cd .. python ./run_classifier.py \ --task_name ${TASK_NAME} \ --use_cuda false \ --do_infer True \ --batch_size 128 \ --infer_data_dir ${INFER_DATA_PATH} \ --infer_result_path ${INFER_RESULT_PATH} \ --config_path ${CONFIG_PATH} \ --vocab_path ${VOCAB_PATH} \ --task_mode ${TASK_MODE} \ --init_checkpoint ${INIT_CHECKPOINT} cd evaluate python unicom_compute_pos_neg.py
