update run.sh (canton)

examples/canton/tts3/local/paddle2onnx.sh

@@ -1,23 +0,0 @@
-train_output_path=$1
-model_dir=$2
-output_dir=$3
-model=$4
-
-enable_dev_version=True
-
-model_name=${model%_*}
-echo model_name: ${model_name}
-
-if [ ${model_name} = 'mb_melgan' ] ;then
-    enable_dev_version=False
-fi
-
-mkdir -p ${train_output_path}/${output_dir}
-
-paddle2onnx \
-    --model_dir ${train_output_path}/${model_dir} \
-    --model_filename ${model}.pdmodel \
-    --params_filename ${model}.pdiparams \
-    --save_file ${train_output_path}/${output_dir}/${model}.onnx \
-    --opset_version 11 \
-    --enable_dev_version ${enable_dev_version}

examples/canton/tts3/run.sh

@@ -50,10 +50,10 @@ if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
     if [[ -z "$version" || ${version} != '1.0.0' ]]; then
         pip install paddle2onnx==1.0.0
     fi
-    ./local/paddle2onnx.sh ${train_output_path} inference inference_onnx fastspeech2_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
     # ./local/paddle2onnx.sh ${train_output_path} inference inference_onnx pwgan_csmsc
-    # ./local/paddle2onnx.sh ${train_output_path} inference inference_onnx pwgan_aishell3 
+    ../../../csmsc/tts3/local/paddle2onnx.sh ${train_output_path} inference inference_onnx pwgan_aishell3 
     # ./local/paddle2onnx.sh ${train_output_path} inference inference_onnx mb_melgan_csmsc
     # ./local/paddle2onnx.sh ${train_output_path} inference inference_onnx hifigan_csmsc