未验证 提交 cc02b007 编写于 作者: 小湉湉's avatar 小湉湉 提交者: GitHub

fix paddle2onnx's install version, install the newest paddle2onnx in run.sh (#3084)

上级 6894a2a7
......@@ -43,10 +43,7 @@ fi
if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
# install paddle2onnx
version=$(echo `pip list |grep "paddle2onnx"` |awk -F" " '{print $2}')
if [[ -z "$version" || ${version} != '1.0.0' ]]; then
pip install paddle2onnx==1.0.0
fi
pip install paddle2onnx --upgrade
./local/paddle2onnx.sh ${train_output_path} inference inference_onnx fastspeech2_aishell3
# considering the balance between speed and quality, we recommend that you use hifigan as vocoder
./local/paddle2onnx.sh ${train_output_path} inference inference_onnx pwgan_aishell3
......
......@@ -46,10 +46,7 @@ fi
# we have only tested the following models so far
if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
# install paddle2onnx
version=$(echo `pip list |grep "paddle2onnx"` |awk -F" " '{print $2}')
if [[ -z "$version" || ${version} != '1.0.0' ]]; then
pip install paddle2onnx==1.0.0
fi
pip install paddle2onnx --upgrade
../../csmsc/tts3/local/paddle2onnx.sh ${train_output_path} inference inference_onnx fastspeech2_canton
# considering the balance between speed and quality, we recommend that you use hifigan as vocoder
# ./local/paddle2onnx.sh ${train_output_path} inference inference_onnx pwgan_csmsc
......
......@@ -45,10 +45,7 @@ fi
# we have only tested the following models so far
if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
# install paddle2onnx
version=$(echo `pip list |grep "paddle2onnx"` |awk -F" " '{print $2}')
if [[ -z "$version" || ${version} != '1.0.0' ]]; then
pip install paddle2onnx==1.0.0
fi
pip install paddle2onnx --upgrade
./local/paddle2onnx.sh ${train_output_path} inference inference_onnx speedyspeech_csmsc
# considering the balance between speed and quality, we recommend that you use hifigan as vocoder
./local/paddle2onnx.sh ${train_output_path} inference inference_onnx pwgan_csmsc
......
......@@ -45,10 +45,7 @@ fi
# we have only tested the following models so far
if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
# install paddle2onnx
version=$(echo `pip list |grep "paddle2onnx"` |awk -F" " '{print $2}')
if [[ -z "$version" || ${version} != '1.0.0' ]]; then
pip install paddle2onnx==1.0.0
fi
pip install paddle2onnx --upgrade
./local/paddle2onnx.sh ${train_output_path} inference inference_onnx fastspeech2_csmsc
# considering the balance between speed and quality, we recommend that you use hifigan as vocoder
./local/paddle2onnx.sh ${train_output_path} inference inference_onnx pwgan_csmsc
......
......@@ -58,10 +58,7 @@ fi
# paddle2onnx non streaming
if [ ${stage} -le 7 ] && [ ${stop_stage} -ge 7 ]; then
# install paddle2onnx
version=$(echo `pip list |grep "paddle2onnx"` |awk -F" " '{print $2}')
if [[ -z "$version" || ${version} != '1.0.0' ]]; then
pip install paddle2onnx==1.0.0
fi
pip install paddle2onnx --upgrade
./local/paddle2onnx.sh ${train_output_path} inference inference_onnx fastspeech2_csmsc
# considering the balance between speed and quality, we recommend that you use hifigan as vocoder
./local/paddle2onnx.sh ${train_output_path} inference inference_onnx pwgan_csmsc
......@@ -77,10 +74,7 @@ fi
# paddle2onnx streaming
if [ ${stage} -le 9 ] && [ ${stop_stage} -ge 9 ]; then
# install paddle2onnx
version=$(echo `pip list |grep "paddle2onnx"` |awk -F" " '{print $2}')
if [[ -z "$version" || ${version} != '1.0.0' ]]; then
pip install paddle2onnx==1.0.0
fi
pip install paddle2onnx --upgrade
# streaming acoustic model
./local/paddle2onnx.sh ${train_output_path} inference_streaming inference_onnx_streaming fastspeech2_csmsc_am_encoder_infer
./local/paddle2onnx.sh ${train_output_path} inference_streaming inference_onnx_streaming fastspeech2_csmsc_am_decoder
......
......@@ -45,10 +45,7 @@ fi
# # we have only tested the following models so far
# if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
# # install paddle2onnx
# version=$(echo `pip list |grep "paddle2onnx"` |awk -F" " '{print $2}')
# if [[ -z "$version" || ${version} != '1.0.0' ]]; then
# pip install paddle2onnx==1.0.0
# fi
# pip install paddle2onnx --upgrade
# ./local/paddle2onnx.sh ${train_output_path} inference inference_onnx vits_csmsc
# fi
......
......@@ -45,10 +45,7 @@ fi
# we have only tested the following models so far
if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
# install paddle2onnx
version=$(echo `pip list |grep "paddle2onnx"` |awk -F" " '{print $2}')
if [[ -z "$version" || ${version} != '1.0.0' ]]; then
pip install paddle2onnx==1.0.0
fi
pip install paddle2onnx --upgrade
./local/paddle2onnx.sh ${train_output_path} inference inference_onnx fastspeech2_ljspeech
# considering the balance between speed and quality, we recommend that you use hifigan as vocoder
./local/paddle2onnx.sh ${train_output_path} inference inference_onnx pwgan_ljspeech
......
......@@ -43,10 +43,7 @@ fi
if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
# install paddle2onnx
version=$(echo `pip list |grep "paddle2onnx"` |awk -F" " '{print $2}')
if [[ -z "$version" || ${version} != '1.0.0' ]]; then
pip install paddle2onnx==1.0.0
fi
pip install paddle2onnx --upgrade
./local/paddle2onnx.sh ${train_output_path} inference inference_onnx fastspeech2_vctk
# considering the balance between speed and quality, we recommend that you use hifigan as vocoder
./local/paddle2onnx.sh ${train_output_path} inference inference_onnx pwgan_vctk
......
......@@ -46,10 +46,7 @@ fi
if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
# install paddle2onnx
version=$(echo `pip list |grep "paddle2onnx"` |awk -F" " '{print $2}')
if [[ -z "$version" || ${version} != '1.0.0' ]]; then
pip install paddle2onnx==1.0.0
fi
pip install paddle2onnx --upgrade
./local/paddle2onnx.sh ${train_output_path} inference inference_onnx fastspeech2_mix
# considering the balance between speed and quality, we recommend that you use hifigan as vocoder
./local/paddle2onnx.sh ${train_output_path} inference inference_onnx pwgan_aishell3
......
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