Hello there,
I’m trying to convert a CRNN model which consists of both Conv and LSTM layers. Everything works fine. However, when I’m using onnx.checker.check_model(model) I’m getting a warning:
Warning: ConstantFill was a removed  experimental ops. In the future, we may directly reject this operator. Please update your model as soon as possible.
PyTorch saves the model in ai.onnx v9 version. When I try to convert it to version of 10, I’m getting:
Assertion false failed: No Adapter For Current Version $9 for MaxPool
Everything would be okay, but when I try to run the onnx model on ML dotnet, I’m getting RunTimeExeption due to this ConstantFill.
Question #one:
What is ConstantFill?
Question #two:
Is there any solution?
I’m using:
PyTorch 1.0.1.post2
Onnx 1.5
PS: I know that it is possible to use LSTM layers in Onnx.