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

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pull/3095/head
TianYuan 2 years ago committed by GitHub
parent 6894a2a77d
commit cc02b007fe
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9 changed files with 10 additions and 40 deletions
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5
examples/aishell3/tts3/run.sh
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@ -43,10 +43,7 @@ fi
if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
# install paddle2onnx # install paddle2onnx
version=$(echo `pip list |grep "paddle2onnx"` |awk -F" " '{print $2}') pip install paddle2onnx --upgrade
if [[ -z "$version" || ${version} != '1.0.0' ]]; then
pip install paddle2onnx==1.0.0
fi
./local/paddle2onnx.sh ${train_output_path} inference inference_onnx fastspeech2_aishell3 ./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 # 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 ./local/paddle2onnx.sh ${train_output_path} inference inference_onnx pwgan_aishell3

5
examples/canton/tts3/run.sh
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@ -46,10 +46,7 @@ fi
# we have only tested the following models so far # we have only tested the following models so far
if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
# install paddle2onnx # install paddle2onnx
version=$(echo `pip list |grep "paddle2onnx"` |awk -F" " '{print $2}') pip install paddle2onnx --upgrade
if [[ -z "$version" || ${version} != '1.0.0' ]]; then
pip install paddle2onnx==1.0.0
fi
../../csmsc/tts3/local/paddle2onnx.sh ${train_output_path} inference inference_onnx fastspeech2_canton ../../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 # 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 # ./local/paddle2onnx.sh ${train_output_path} inference inference_onnx pwgan_csmsc

5
examples/csmsc/tts2/run.sh
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@ -45,10 +45,7 @@ fi
# we have only tested the following models so far # we have only tested the following models so far
if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
# install paddle2onnx # install paddle2onnx
version=$(echo `pip list |grep "paddle2onnx"` |awk -F" " '{print $2}') pip install paddle2onnx --upgrade
if [[ -z "$version" || ${version} != '1.0.0' ]]; then
pip install paddle2onnx==1.0.0
fi
./local/paddle2onnx.sh ${train_output_path} inference inference_onnx speedyspeech_csmsc ./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 # 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 ./local/paddle2onnx.sh ${train_output_path} inference inference_onnx pwgan_csmsc

5
examples/csmsc/tts3/run.sh
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@ -45,10 +45,7 @@ fi
# we have only tested the following models so far # we have only tested the following models so far
if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
# install paddle2onnx # install paddle2onnx
version=$(echo `pip list |grep "paddle2onnx"` |awk -F" " '{print $2}') pip install paddle2onnx --upgrade
if [[ -z "$version" || ${version} != '1.0.0' ]]; then
pip install paddle2onnx==1.0.0
fi
./local/paddle2onnx.sh ${train_output_path} inference inference_onnx fastspeech2_csmsc ./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 # 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 ./local/paddle2onnx.sh ${train_output_path} inference inference_onnx pwgan_csmsc

10
examples/csmsc/tts3/run_cnndecoder.sh
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@ -58,10 +58,7 @@ fi
# paddle2onnx non streaming # paddle2onnx non streaming
if [ ${stage} -le 7 ] && [ ${stop_stage} -ge 7 ]; then if [ ${stage} -le 7 ] && [ ${stop_stage} -ge 7 ]; then
# install paddle2onnx # install paddle2onnx
version=$(echo `pip list |grep "paddle2onnx"` |awk -F" " '{print $2}') pip install paddle2onnx --upgrade
if [[ -z "$version" || ${version} != '1.0.0' ]]; then
pip install paddle2onnx==1.0.0
fi
./local/paddle2onnx.sh ${train_output_path} inference inference_onnx fastspeech2_csmsc ./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 # 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 ./local/paddle2onnx.sh ${train_output_path} inference inference_onnx pwgan_csmsc
@ -77,10 +74,7 @@ fi
# paddle2onnx streaming # paddle2onnx streaming
if [ ${stage} -le 9 ] && [ ${stop_stage} -ge 9 ]; then if [ ${stage} -le 9 ] && [ ${stop_stage} -ge 9 ]; then
# install paddle2onnx # install paddle2onnx
version=$(echo `pip list |grep "paddle2onnx"` |awk -F" " '{print $2}') pip install paddle2onnx --upgrade
if [[ -z "$version" || ${version} != '1.0.0' ]]; then
pip install paddle2onnx==1.0.0
fi
# streaming acoustic model # 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_encoder_infer
./local/paddle2onnx.sh ${train_output_path} inference_streaming inference_onnx_streaming fastspeech2_csmsc_am_decoder ./local/paddle2onnx.sh ${train_output_path} inference_streaming inference_onnx_streaming fastspeech2_csmsc_am_decoder

5
examples/csmsc/vits/run.sh
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@ -45,10 +45,7 @@ fi
# # we have only tested the following models so far # # we have only tested the following models so far
# if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then # if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
# # install paddle2onnx # # install paddle2onnx
# version=$(echo `pip list |grep "paddle2onnx"` |awk -F" " '{print $2}') # pip install paddle2onnx --upgrade
# if [[ -z "$version" || ${version} != '1.0.0' ]]; then
# pip install paddle2onnx==1.0.0
# fi
# ./local/paddle2onnx.sh ${train_output_path} inference inference_onnx vits_csmsc # ./local/paddle2onnx.sh ${train_output_path} inference inference_onnx vits_csmsc
# fi # fi

5
examples/ljspeech/tts3/run.sh
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@ -45,10 +45,7 @@ fi
# we have only tested the following models so far # we have only tested the following models so far
if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
# install paddle2onnx # install paddle2onnx
version=$(echo `pip list |grep "paddle2onnx"` |awk -F" " '{print $2}') pip install paddle2onnx --upgrade
if [[ -z "$version" || ${version} != '1.0.0' ]]; then
pip install paddle2onnx==1.0.0
fi
./local/paddle2onnx.sh ${train_output_path} inference inference_onnx fastspeech2_ljspeech ./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 # 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 ./local/paddle2onnx.sh ${train_output_path} inference inference_onnx pwgan_ljspeech

5
examples/vctk/tts3/run.sh
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@ -43,10 +43,7 @@ fi
if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
# install paddle2onnx # install paddle2onnx
version=$(echo `pip list |grep "paddle2onnx"` |awk -F" " '{print $2}') pip install paddle2onnx --upgrade
if [[ -z "$version" || ${version} != '1.0.0' ]]; then
pip install paddle2onnx==1.0.0
fi
./local/paddle2onnx.sh ${train_output_path} inference inference_onnx fastspeech2_vctk ./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 # 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 ./local/paddle2onnx.sh ${train_output_path} inference inference_onnx pwgan_vctk

5
examples/zh_en_tts/tts3/run.sh
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@ -46,10 +46,7 @@ fi
if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
# install paddle2onnx # install paddle2onnx
version=$(echo `pip list |grep "paddle2onnx"` |awk -F" " '{print $2}') pip install paddle2onnx --upgrade
if [[ -z "$version" || ${version} != '1.0.0' ]]; then
pip install paddle2onnx==1.0.0
fi
./local/paddle2onnx.sh ${train_output_path} inference inference_onnx fastspeech2_mix ./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 # 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 ./local/paddle2onnx.sh ${train_output_path} inference inference_onnx pwgan_aishell3

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