AttributeError: 'ConvertModel' object has no attribute 'seek'
I tried converting a MATLAB model to PyTorch using ONNX, like proposed here by Andrew Naguib:
How to import deep learning models from MATLAB to PyTorch?
I tried running the model using the following code:
import onnx
from onnx2pytorch import ConvertModel
import torch

onnx_model = onnx.load ('resnet50.onnx')

pytorch_model = ConvertModel(onnx_model)

model = torch.load(pytorch_model)

But I got this error:

AttributeError: 'ConvertModel' object has no attribute 'seek'. You can
only torch.load from a file that is seekable. Please pre-load the data
into a buffer like io.BytesIO and try to load from it instead.

How can I fix it, please? Any ideas on how can I &quot;pre-load the data into a buffer like io.BytesIO&quot;?

Assuming my_data.dat is a file containing binary data, the following code loads it into an ioBytesIO buffer that is seekable:
import io

with open('my_data.dat', 'rb') as f:
    buf = io.BytesIO(f.read())

You can now write things like
    buf.seek(4)

and
    x = buf.read(1)

Of course, in your case, you're going through a onnx.load methdod, and I don't know what that does. But if does return a file object, on a binary file, then the above might help you.
