[Relay]PReLU dimension mismatch and batch_norm momentum ignored when converting ONNX model to TVM

Hi, I try to convert a pytorch model to tvm via onnx intermediate model following this tutorial, but fail at prelu operation convertion which reports a dimension mismatch error:

tensor type `Tensor[(64), float32]` has 1 dimensions, while `Tensor[(64, 1, 1), float32]` has 3 dimensions; unable to unify: `Tensor[(64), float32]` and `Tensor[(64, 1, 1), float32]`;

every single prelu in my model has same error. BTW there has some warnings at the beginning:

WARNING:root:Attribute momentum is ignored in relay.sym.batch_norm
WARNING:root:Attribute momentum is ignored in relay.sym.batch_norm
WARNING:root:Attribute momentum is ignored in relay.sym.batch_norm
WARNING:root:Attribute momentum is ignored in relay.sym.batch_norm
WARNING:root:Attribute momentum is ignored in relay.sym.batch_norm
WARNING:root:Attribute momentum is ignored in relay.sym.batch_norm
WARNING:root:Attribute momentum is ignored in relay.sym.batch_norm
WARNING:root:Attribute momentum is ignored in relay.sym.batch_norm
WARNING:root:Attribute momentum is ignored in relay.sym.batch_norm
WARNING:root:Attribute momentum is ignored in relay.sym.batch_norm
WARNING:root:Attribute momentum is ignored in relay.sym.batch_norm
WARNING:root:Attribute momentum is ignored in relay.sym.batch_norm

my tvm is 0.6. Need help, tks.