Sorry I didn't make it clear.
The code pasted in the first issue works well after adopting your solution.
Then I tested 'gpt2' model, it reported an error:
```
TypeError: int() argument must be a string, a bytes-like object or a number,
not ‘Call’
```
The test code is shown below:
```
from tvm
> from tvm import relay
> import torch
> from pytorch_pretrained_bert import BertTokenizer, BertModel, BertForMaskedLM
> import logging
>
> logging.basicConfig(level=logging.INFO)
I used the code you pasted in the first issue and its able to generate complete
relay function. Im not able to ge
Thanks!
I try to fix it by
```
def _tensortonum():
def _impl(inputs, input_types):
return inputs[0]
return _impl
```
Another error accurs:
```
TypeError: int() argument must be a string, a bytes-like object or a number,
not 'Call'
```
```
'58', %58 : Scalar = prim::ImplicitTe
[PR 5603](https://github.com/apache/incubator-tvm/pull/5603) will help to solve
the issue of `prim::ImplicitTensorToNum`
If you come across issue with matmul, you can merge [PR
5604](https://github.com/apache/incubator-tvm/pull/5604) as well.
---
[Visit
Topic](https://discuss.tvm.ai/t/pr
Hi,
I was trying to import
[bert-base-uncased](https://pypi.org/project/pytorch-pretrained-bert/) by
PyTorch relay. It said that "NotImplementedError: The following operators are
not implemented: ['prim::ImplicitTensorToNum']"
I can't find any useful information about 'ImplicitTensorTo
