It shows ‘2.7.9’
Cool then I’ll proceed with colab for now and try the local environment when I’m more comfortable.
Appreciate all the help and suggestion, it truly means a lot.
Thanks !!
2 Likes
Great 
Just to leave this very useful command here:
import fastai.test_utils
fastai.test_utils.show_install(True)
gives a summary of your installation. You could check your library versions, cuda / cudnn version, nvidia driver and gpu availability. All of those, or the compatibility between them could cause the problem. In particular you see that using a cloud setup is tremendously less complex since the last three points are generally taken care of 
.
2 Likes
Hi!
I just started reading Chapter 1 of the the book (Google Colab).
I am trying to run the example that trains a model to recognize cats and dogs and the training process seems to be taking quite awhile (like over 30 mins).
Data and pre-trained model downloaded pretty quickly, but the training phase seems to be taking a really long time.
I was under impression that is should be couple of minutes.
Is there something wrong with my cloud environment setup?
Or is the code outdated?
You may need to change the runtime type to GPU using the menu at the top.
3 Likes
Hey Aman, were u able to fix ur problem?
try to change the accelerator from cpu to gpu
Unfortunately no.
As of now I’m working with colab and it doesn’t seem I’m missing out on anything thus I’ll come back to this during my re-watch.
For lectures kaggle notebooks work awesome.
1 Like
does anyone know how to store my Hugging Face username and password on my computer or in VS Code, so I don’t have to enter them every time I push to Git / Hugging Face from VS Code? currently when I push I’m prompted to enter my username and password for Hugging Face.
when I push I get this:
/mnt/c/Program\ Files/Git/mingw64/libexec/git-core/git-credential-manager-core.exe get: 1: /mnt/c/Program Files/Git/mingw64/libexec/git-core/git-credential-manager-core.exe: not found
this looks like there’s an error to do with Git Credential Manager. Git Credential Manager is included with Git for Windows. I think I have Git for Windows installed.
Im actually confused what to use at this point for blogging cuz the fastpages project has been deprecated (it was on github) or quarto which seems to have a steep learning curve.
Hi all, I am going through the material of chapter 1 clean version on Papers space and just digging into the fastai library using the doc method, but when I try to click on show in docs link I get a "Not Found
The requested URL was not found on this server.
Additionally, a 404 Not Found error was encountered while trying to use an ErrorDocument to handle the request."
Btw the link to the source code of things works.
Not sure if anyone is experiencing this as well?
Hey ,
When I tried this my nbdev library on paperspace was completely outdated (still v1) which created the wrong links.
Updating nbdev fixed the issue for me, keeping fastai up to date would also be a good idea, so run:
mamba install -c fastchan fastai nbdev
from a terminal. Let us know if this does not solve it for you
Thanks @benkarr that solves my problem, do you know if this will be a persistent change, or will I need to do the add it to the pre-run-sh to make it persistent?
I just restarted the instance I made the changes to and they are gone… I don’t use paperspace much myself, so cannot tell you where to add it exactly 
. Have you watched the Live Coding sessions? I think Jeremy talks extensively about how to set up paperspace and how to make persistant changes in the first couple sessions.
Yes I remember the trick, I will just proceed with that.
Thanks for the help
1 Like
Hey everyone,
I was wondering how we can save the databunch object.
Because every time I run my notebook the databunch method creates new random batches of images, and I want to control the data batches for my experiments.
I tried using the databunch.save(“PATH/TO/.pkl”) but it gives me a ctype objects can’t be pickled error.
Here is the code I tried for saving the databunch:
train, valid = ObjectItemListSlide(train_images) ,ObjectItemListSlide(valid_images)
item_list = ItemLists(".", train, valid)
lls = item_list.label_from_func(lambda x: x.y, label_cls=SlideObjectCategoryList)
lls = lls.transform(tfms, tfm_y=True, size=patch_size)
data = lls.databunch(bs=batch_size, collate_fn=bb_pad_collate,num_workers=0).normalize()
data.save("test_data_bs8.pkl")
The error:
ValueError Traceback (most recent call last)
<ipython-input-22-88cd1dd3e50b> in <module>
----> 1 data.save("test_data_bs8.pkl")
3 frames
/usr/local/lib/python3.7/dist-packages/fastai/basic_data.py in save(self, file)
153 warn("Serializing the `DataBunch` only works when you created it using the data block API.")
154 return
--> 155 try_save(self.label_list, self.path, file)
156
157 def add_test(self, items:Iterator, label:Any=None, tfms=None, tfm_y=None)->None:
/usr/local/lib/python3.7/dist-packages/fastai/torch_core.py in try_save(state, path, file)
414 #To avoid the warning that come from PyTorch about model not being checked
415 warnings.simplefilter("ignore")
--> 416 torch.save(state, target)
417 except OSError as e:
418 raise Exception(f"{e}\n Can't write {path/file}. Pass an absolute writable pathlib obj `fname`.")
/usr/local/lib/python3.7/dist-packages/torch/serialization.py in save(obj, f, pickle_module, pickle_protocol, _use_new_zipfile_serialization)
378 if _use_new_zipfile_serialization:
379 with _open_zipfile_writer(opened_file) as opened_zipfile:
--> 380 _save(obj, opened_zipfile, pickle_module, pickle_protocol)
381 return
382 _legacy_save(obj, opened_file, pickle_module, pickle_protocol)
/usr/local/lib/python3.7/dist-packages/torch/serialization.py in _save(obj, zip_file, pickle_module, pickle_protocol)
587 pickler = pickle_module.Pickler(data_buf, protocol=pickle_protocol)
588 pickler.persistent_id = persistent_id
--> 589 pickler.dump(obj)
590 data_value = data_buf.getvalue()
591 zip_file.write_record('data.pkl', data_value, len(data_value))
ValueError: ctypes objects containing pointers cannot be pickled
Can anyone tell me how I can save my data bunch object, or is there a method from which I can save the images created and encapsulated in databunch to a directory and how to load them later with their bounding box labels?
I don’t know anything about databunch, but considering your trying to use this to solve the above problem, perhaps there is another way. Have yo soncidered setting the seed.
We deprecated fastpages because we thought that Quarto is at least as easy, and it provides more useful features.
It sounds like either we (or the quarto team) has done a poor job of positioning it, if it comes across as having a steep learning curve – or that we’ve misunderstood how complex it is for new users.
It would be really super useful if you could say more about what has given the impression it has a steep learning curve, since that would help us find ways to both decrease that steepness, and also better explain it.
4 Likes
I’ve been thinking on this for a while, and @Voi_l8ight may say I’m off here, but here’s my thoughts:
The Quarto documentation is humongous. There’s so many features that I’m stuck in decision overload constantly trying to see just what I can do. On top of that, there’s not really a simple guide to Quarto in nbdev in that sense of just saying “here’s how you minimally do XYZ”, or at least not one I’ve seen regularly. Just pointing more to the docs that have far too much information for someone who’s new and isn’t trying to go into rabbit holes of how everything works
I think a major win here to help others is to take a page (literally) out of fastpages. One thing I loved with fastpages is I simply had to fork the repo, run one action, and then I could write a notebook separately and drag/drop into Github later whenever I wanted to post a new blog. If there’s a simple template repo that is setup for blogging where the user doesn’t need to type anything in and their blog just “works” that’d be wonderful.
Because while the solution can often be “Go check this Quarto resource”, I’d rather have the encyclopedia downsized to something small and efficient if possible and in the best case scenario have it not be needed
E.g. I’m finding myself constantly going to @Ezno’s resource here that details very quickly what some of the major things you can do in quarto are. Something like this as just a one-page doc with the major bits folks would most likely often use would be phenomenal. (So nothing insane like graphviz or mermaid), and have it be prevalent high in the nbdev documentation as well so it can be found easy (as in TOC, beginner tutorials reference it, etc, something where someone just trying to find it doesn’t need to dig for ages)
Just my 0.02$, hope that helps some with my own thoughts (And this comes from a place of love, as nbdev v2 is amazing)
cc @hamelsmu
4 Likes
Thanks for the reply Jeremy, by 'steep learning curve ’ I meant that there’s no specific or maybe a tutorial containing all the details, steps at one place which would make life easier for novice programmers like me.
Thank you