Stuck on an issue?
Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.
And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.
Torch.size mismatch
See original GitHub issueI want to use your best model to test a dataset named “ECSSD”, and I use the sentence you write in the Test part, download the model whose name is “run-1”,and update it in the sentence. However,I get this error as follows.
size mismatch for score.score.weight: copying a param with shape torch.Size([1, 256, 3, 3]) from checkpoint, the shape in current model is torch.Size([1, 128, 1, 1]).
I really don’t know how to alter it. Thanks.
Issue Analytics
- State:
- Created 3 years ago
- Comments:6 (4 by maintainers)
Top Results From Across the Web
How to resolve runtime error due to size mismatch in PyTorch?
I am getting an error when I run output =model(input). As per my knowledge, the linear layer flattens the image and executes something...
Read more >Size mismatch error for tensors of equal size - PyTorch Forums
In VAE code I am trying to run, I get the error below, where the mismatched tensors seem like the same size. The...
Read more >load_best_model_at_end failed due to "size mismatch" when ...
Steps to reproduce the behavior: Run run_clm.py without DeepSpeed finished successfully: + export TOKENIZERS_PARALLELISM=false + ...
Read more >Solving Error: size mismatch, m1: [30 x 2], m2
There are multiple errors in the messages you showed. Maybe you tried running your code multiple times, commenting out or changing the lines ......
Read more >T5ForConditionalGeneration checkpoint size mismatch #19418
weight". size mismatch for shared.weight: copying a param with shape torch.Size([32103, 512]) from checkpoint, the shape in current model is ...
Read more >
Top Related Medium Post
No results found
Top Related StackOverflow Question
No results found
Troubleshoot Live Code
Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start Free
Top Related Reddit Thread
No results found
Top Related Hackernoon Post
No results found
Top Related Tweet
No results found
Top Related Dev.to Post
No results found
Top Related Hashnode Post
No results found
When you use the pretrained model obtained by joint training two tasks, you should use the
joint_*.py.You’re welcome!