From efc829e893c41ac5bd596752e7efc05a52efc8e8 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期三, 22 三月 2023 17:48:39 +0800
Subject: [PATCH] cer tool
---
egs/aishell/conformer/run.sh | 10 +++++-----
1 files changed, 5 insertions(+), 5 deletions(-)
diff --git a/egs/aishell/conformer/run.sh b/egs/aishell/conformer/run.sh
index d865982..09ddab8 100755
--- a/egs/aishell/conformer/run.sh
+++ b/egs/aishell/conformer/run.sh
@@ -8,12 +8,12 @@
count=1
gpu_inference=true # Whether to perform gpu decoding, set false for cpu decoding
# for gpu decoding, inference_nj=ngpu*njob; for cpu decoding, inference_nj=njob
-njob=8
+njob=5
train_cmd=utils/run.pl
infer_cmd=utils/run.pl
# general configuration
-feats_dir="../DATA" #feature output dictionary, for large data
+feats_dir="../DATA" #feature output dictionary
exp_dir="."
lang=zh
dumpdir=dump/fbank
@@ -34,7 +34,7 @@
data_aishell=
# exp tag
-tag=""
+tag="exp1"
. utils/parse_options.sh || exit 1;
@@ -52,7 +52,7 @@
model_dir="baseline_$(basename "${asr_config}" .yaml)_${feats_type}_${lang}_${token_type}_${tag}"
inference_config=conf/decode_asr_transformer.yaml
-inference_asr_model=valid.acc.ave_10best.pth
+inference_asr_model=valid.acc.ave_10best.pb
# you can set gpu num for decoding here
gpuid_list=$CUDA_VISIBLE_DEVICES # set gpus for decoding, the same as training stage by default
@@ -217,7 +217,7 @@
if [ -n "${inference_config}" ]; then
_opts+="--config ${inference_config} "
fi
- ${infer_cmd} --gpu "${_ngpu}" --max-jobs-run "${_nj}" JOB=1:"${_nj}" "${_logdir}"/asr_inference.JOB.log \
+ ${infer_cmd} --gpu "${_ngpu}" --max-jobs-run "${_nj}" JOB=1: "${_nj}" "${_logdir}"/asr_inference.JOB.log \
python -m funasr.bin.asr_inference_launch \
--batch_size 1 \
--ngpu "${_ngpu}" \
--
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