Comments (3)
>>> from retrain import torch
>>> torch.__version__
'0.2.0_4'
>>> from retrain import load_model_merged
>>> load_model_merged('densenet201', 2)
DenseNet (
#...
Hi @silakanveli, I wasn't able to reproduce your error on master. Have you had success with other versions of Densenet or PyTorch?
from pytorch-retraining.
I have reproduce the problem and I solve it by remove "diff" in this "model_pretrained, diff = load_model_merged(name, num_classes)"
Hope it can help you
from pytorch-retraining.
Good catch, thx @buaaswf!
from pytorch-retraining.
Related Issues (5)
- For own data. HOT 1
- CUDA running out of memory HOT 3
- Enhancement: Save Model & Predict HOT 2
- num_batches_tracked error HOT 1
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from pytorch-retraining.