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wenet_cpu_runtime_benchmark
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export GLOG_logtostderr=1
export GLOG_v=2
model_dir=./20211025_conformer_exp_aishell1

# docker run --rm -it -p 10086:10086  wenetorg/wenet:latest
# /home/wenet/runtime/libtorch/build/bin/websocket_server_main \
#     --port 10086 \
#     --chunk_size -1 \
#     --model_path $model_dir/final.zip \
#     --unit_path $model_dir/units.txt 2>&1 | tee server.log

# /home/wenet/runtime/libtorch/build/bin/websocket_server_main \
#     --port 10086 \
#     --chunk_size -1 \
#     --model_path $model_dir/final_quant.zip \
#     --unit_path $model_dir/units.txt 2>&1 | tee server.log

# git-lfs install
# git clone https://huggingface.co/yuekai/aishell1_tlg_essentials
# cd ./aishell1_tlg_essentials && git-lfs pull

/home/wenet/runtime/libtorch/build/bin/websocket_server_main \
    --port 10086 \
    --chunk_size -1 \
    --blank_skip_thresh 0.98 \
    --beam 15.0 --lattice_beam 7.5 --max_active 7000 \
    --ctc_weight 0.5 --rescoring_weight 1.0 \
    --dict_path ./aishell1_tlg_essentials/output/words.txt \
    --fst_path ./aishell1_tlg_essentials/output/TLG.fst \
    --model_path $model_dir/final.zip \
    --unit_path $model_dir/units.txt 2>&1 | tee server.log

# /home/wenet/runtime/libtorch/build/bin/websocket_server_main \
#     --port 10086 \
#     --chunk_size -1 \
#     --blank_skip_thresh 0.98 \
#     --beam 15.0 --lattice_beam 7.5 --max_active 7000 \
#     --ctc_weight 0.5 --rescoring_weight 1.0 \
#     --dict_path ./aishell1_tlg_essentials/output/words.txt \
#     --fst_path ./aishell1_tlg_essentials/output/TLG.fst \
#     --model_path $model_dir/final_quant.zip \
#     --unit_path $model_dir/units.txt 2>&1 | tee server.log