I just fine-tuned a pretrained gluon model (dense-net) and saved the params using
I load the parameters using:
net = mx.gluon.model_zoo.vision.get_model("densenet121", classes=class_num, ctx=ctx) net.load_params('./densenet121-tuned-2018-07-20-13:29:05.params', ctx=ctx, ignore_extra=True, allow_missing=True)
However, when I try to do any forward pass through the model, I get the following error:
RuntimeError: Parameter densenet4_conv0_weight has not been initialized. Note that you should initialize parameters and create Trainer with Block.collect_params() instead of Block.params because the later does not include Parameters of nested child Blocks
I’ve been looking across the forum and couldn’t find anything that helps, so figured I would post and get some help!
One thing to note, however, is that I can only load the params when i use ignore_extra=True AND allow_missing=True. When I leave both of those flags out, I get errors saying that parameters are missing in the params file. I looked at this post for a solution and tried setting prefix to “”, but it didn’t help: https://gist.github.com/aaronmarkham/1017664fe683596c614961112a867145
Not sure if the load params is the root cause of my issue, but has anyone else faced/overcome this issue?
Here is how I’m creating the densenet model prior to training:
densenet121_pretrained = vision.densenet121(pretrained=True)
dense_tune = vision.densenet121(prefix='', classes=class_num)
dense_tune.features = densenet121_pretrained.features
Thanks so much!