I am using fastai v2.0.15 and no matter what I pass into predict I get
/opt/conda/lib/python3.6/site-packages/fastai/learner.py in predict(self, item, rm_type_tfms, with_input)
246 def predict(self, item, rm_type_tfms=None, with_input=False):
--> 247 dl = self.dls.test_dl([item], rm_type_tfms=rm_type_tfms, num_workers=0)
248 inp,preds,_,dec_preds = self.get_preds(dl=dl, with_input=True, with_decoded=True)
249 i = getattr(self.dls, 'n_inp', -1) ...
... TypeError: list indices must be integers or slices, not list
I’ve tried everything from the forum & other sources & also tried even passing in None types or anything at all. Same result. I’m wondering is it something to do with my environment or something else?
Any help appreciated.
Can you post your Code please?
It doesn’t seem to matter what I pass into the predict function as the error is always the same and points to the line in my OP
Hi, I am having the same problem as well. Did you ever find a solution? I’m trying to use my collab_learner model to make predictions on a test set.
Same issue. I load my exported collab learner:
And I create a single
DataLoader object from the same
DataLoaders object that was used to train the model, even trying to replicate the source code for
But I still get an error:
Please help, I need to be able to make predictions with my collab model.
Alright, I figured it out, at least for my use case. The new
DataLoader needs to be created by passing the new
learn.dls.test_dl(). Then you can call
learn.get_preds() with the new
This worked for me. Thanks. The documentation needs to be updated for this one.