Convert onnx with dynamic input shape

[alexg93333]

I am running into this error. It would be great if somebody could help.

python3.10 converter.py --weights "./model.onnx" --formats "tflite" --int8

Checking 0/1...
WARNING:onnx_loader running::onnxsim is failed, maybe make convert fails.
Traceback (most recent call last):
File "/home/dockerpaddle/Desktop/onnx2tflite/converter.py", line 108, in
run()
File "/home/dockerpaddle/Desktop/onnx2tflite/converter.py", line 92, in run
onnx_converter(
File "/home/dockerpaddle/Desktop/onnx2tflite/converter.py", line 21, in onnx_converter
keras_model = keras_builder(model_proto, native_groupconv)
File "/home/dockerpaddle/Desktop/onnx2tflite/utils/builder.py", line 82, in keras_builder
tf_tensor[node_outputs[index]] = tf_operator(tf_tensor, onnx_weights, node_inputs, op_attr, index=index)(_inputs)
File "/home/dockerpaddle/Desktop/onnx2tflite/layers/conv_layers.py", line 57, in init
out_channel, in_channel = node_weights[node_inputs[1]].shape[:2]
KeyError: 'conv2d_0.w_0'

[MPolaris]

Can you share onnx to me?
I need more information about model to fix this error.

[MPolaris]

fixed, please pull latest code and try again