test with run.sh

speechx/examples/ds2_ol/onnx/.gitignore

 data
 log
+exp

speechx/examples/ds2_ol/onnx/README.md

 # DeepSpeech2 ONNX model
 
-1. convert ds2 model to ONNX, using Paddle2ONNX.
+1. convert deepspeech2 model to ONNX, using Paddle2ONNX.
 2. check paddleinference and onnxruntime output equal.
+3. optimize onnx model
+4. check paddleinference and optimized onnxruntime output equal.
+
+Please make sure [Paddle2ONNX](https://github.com/PaddlePaddle/Paddle2ONNX) and [onnx-simplifier](https://github.com/zh794390558/onnx-simplifier/tree/dyn_time_shape) version is correct.
+
+The example test with these packages installed:
+```
+paddle2onnx              0.9.8rc0    # develop af4354b4e9a61a93be6490640059a02a4499bc7a
+paddleaudio              0.2.1
+paddlefsl                1.1.0
+paddlenlp                2.2.6
+paddlepaddle-gpu         2.2.2
+paddlespeech             0.0.0       # develop
+paddlespeech-ctcdecoders 0.2.0
+paddlespeech-feat        0.1.0
+onnx                     1.11.0
+onnx-simplifier          0.0.0       # https://github.com/zh794390558/onnx-simplifier/tree/dyn_time_shape
+onnxoptimizer            0.2.7
+onnxruntime              1.11.0
+```
 
 ## Using
 
@@ -9,8 +29,9 @@
 bash run.sh
 ```
 
+For more details please see `run.sh`.
+
 ## Outputs
-∂∂∂
-```
-ls exp/model.onnx∂∂∂
-```
+The optimized onnx model is `exp/model.opt.onnx`.
+
+To show the graph, please using `local/netron.sh`.
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speechx/examples/ds2_ol/onnx/local/onnx_opt.sh

@@ -17,4 +17,4 @@ input_shape=$3
 
 check_n=3
 
-onnxsim $in $2 $check_n --dynamic-input-shape  --input-shape $input_shape 
+onnxsim $in $out $check_n --dynamic-input-shape  --input-shape $input_shape
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speechx/examples/ds2_ol/onnx/run.sh

@@ -17,11 +17,18 @@ mkdir -p $data $exp
 if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ];then
     test -f $data/asr0_deepspeech2_online_wenetspeech_ckpt_1.0.0a.model.tar.gz || wget -c https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr0/asr0_deepspeech2_online_wenetspeech_ckpt_1.0.0a.model.tar.gz -P $data
 
+    # wenetspeech ds2 model
     pushd $data
     tar zxvf asr0_deepspeech2_online_wenetspeech_ckpt_1.0.0a.model.tar.gz
     popd
-fi
 
+    # ds2 model demo inputs
+    pushd $exp
+    wget -c http://paddlespeech.bj.bcebos.com/speechx/examples/ds2_ol/onnx/static_ds2online_inputs.pickle
+    popd
+
+    
+fi
 
 dir=$data/exp/deepspeech2_online/checkpoints
 model=avg_1.jit.pdmodel
@@ -46,22 +53,24 @@ if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ];then
         --model_filename $model \
         --params_filename $param \
         --save_dir $exp/shape \
-        --input_shape_dict=${input_shape_dict} 
+        --input_shape_dict="${input_shape_dict}"
 fi
 
+input_file=$exp/static_ds2online_inputs.pickle
+test -e $input_file
 
 if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ];then
     # to onnx
    ./local/tonnx.sh $dir $model $param $exp/model.onnx
 
-   ./local/infer_check.py --input_file 'static_ds2online_inputs.pickle' --model_dir $dir --onnx_model $exp/model.onnx
+   ./local/infer_check.py --input_file $input_file --model_dir $dir --onnx_model $exp/model.onnx
 fi
 
 
 if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ] ;then
     input_shape="audio_chunk:1,-1,161  audio_chunk_lens:1 chunk_state_c_box:5,1,1024 chunk_state_h_box:5,1,1024"   
     # simplifying onnx model
-    ./local/onnx_opt.sh $exp/model.onnx $exp/model.opt.onnx  $input_shape    
+    ./local/onnx_opt.sh $exp/model.onnx $exp/model.opt.onnx  "$input_shape"
 
-    ./local/infer_check.py --input_file 'static_ds2online_inputs.pickle' --model_dir $dir --onnx_model $exp/model.opt.onnx
+    ./local/infer_check.py --input_file $input_file --model_dir $dir --onnx_model $exp/model.opt.onnx
 fi
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