Error while running the

RuntimeError Traceback (most recent call last)
in ()
----> 1 result = evaluate(model, train_loader) # Use the the evaluate function
2 print(result)

7 frames
/usr/local/lib/python3.6/dist-packages/torch/nn/functional.py in linear(input, weight, bias)
1688 if input.dim() == 2 and bias is not None:
1689 # fused op is marginally faster
-> 1690 ret = torch.addmm(bias, input, weight.t())
1691 else:
1692 output = input.matmul(weight.t())

RuntimeError: expected scalar type Float but found Double

I’m expecting your input has a wrong dtype (probably double). Check if it has a correct type.

Can’t give a better answer with such info :stuck_out_tongue:

1 Like

While passing argument of features in forward method include .float(). For eg xb.float()

Hint: While converting the numpy array to tensor, change the type to float32

Help! I’m getting the same error as #Ravi Tiwari. I’m getting stuck in the “evaluate” portion.

I tried chaning the dtype to float, but it still doesn’t work.

I can’t figure out why… Can someone help?

Thank you!

Could you share the link to your notebook?

Thank you for replying back to me.

I checked others’ notebooks and found out the problem I had. float was the issue. Now, I have another issue… My answers are way off for some reason. it does not seem to be functional like it should. if you can help me, that would be great.

Thank you.