Update:
According to: [PyTorch convert function for op 'dictconstruct' not implemented
· Issue #1157 · apple/coremltools
(github.com)](https://github.com/apple/coremltools/issues/1157)
After changing my code from
> model = transformers.SqueezeBertForSequenceClassification(config)
into
>
Hello, @AndrewZhaoLuo @masahi Thanks for your answer.
@AndrewZhaoLuo Yes, I can definitely try to converting the model → onnx → relay.
But I still wanna try on Pytorch for now.
@masahi I have used "torch.jit.trace" to produce trace model, and it looks
normal:
> SqueezeBertForSequenceCl
[quote="AndrewZhaoLuo, post:2, topic:11538"]
The onnx frontend is much more mature.
[/quote]
Be careful with making such claims :slightly_smiling_face: Actually PT frontend
is fairly good and I can generally recommend it for PT users.
@popojames You are probably using `torch.jit.script`, since
I would suggest looking into converting the model --> onnx --> relay if
possible. The onnx frontend is much more mature.
---
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Topic](https://discuss.tvm.apache.org/t/issue-converting-model-from-pytorch-to-relay-model/11538/2)
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Hello TVM developers and community,
I am trying to convert the Transformer-like models such as BERT from different
platforms (Tensorflow or PyTorch) to relay models.
For TensorFlow model, I was able to convert them into relay models successfully
by referring to this tutorial:
[Deploy a Huggin
