Hello everyone, I am trying to deploy my first classifier on Render.
I decided to install the bear classifier example in the production section of the course first, to reduce any issues I may have when installing my app.
Unfortunately when I press the deploy button on the Render Services page I receive the following error.
Jun 8 06:33:31 AM INFO[0195] RUN python app/server.py
Jun 8 06:33:34 AM Traceback (most recent call last):
File “app/server.py”, line 9, in
from fastai.vision import *
File “/usr/local/lib/python3.7/site-packages/fastai/vision/init.py”, line 3, in
from .learner import *
File “/usr/local/lib/python3.7/site-packages/fastai/vision/learner.py”, line 6, in
from . import models
File “/usr/local/lib/python3.7/site-packages/fastai/vision/models/init.py”, line 2, in
from torchvision.models import ResNet,resnet18,resnet34,resnet50,resnet101,resnet152
File “/usr/local/lib/python3.7/site-packages/torchvision/init.py”, line 1, in
from torchvision import models
File “/usr/local/lib/python3.7/site-packages/torchvision/models/init.py”, line 11, in
from . import detection
File “/usr/local/lib/python3.7/site-packages/torchvision/models/detection/init.py”, line 1, in
from .faster_rcnn import *
File “/usr/local/lib/python3.7/site-packages/torchvision/models/detection/faster_rcnn.py”, line 7, in
from torchvision.ops import misc as misc_nn_ops
File “/usr/local/lib/python3.7/site-packages/torchvision/ops/init.py”, line 1, in
from .boxes import nms, box_iou
File “/usr/local/lib/python3.7/site-packages/torchvision/ops/boxes.py”, line 2, in
from torchvision import _C ImportError: libcudart.so.9.0: cannot open shared object file: No such file or directory
Jun 8 06:33:35 AM error building image: error building stage: waiting for process to exit: exit status 1
Jun 8 06:33:35 AM error: exit status 1
Does anyone have the solution to this problem or can someone suggest the best approach to solving this issue?
Thanks in advance.smiley:
I was using render too, now i switched over to Google App Engine. There is a tutorial on the course website on it, and not a bad way to make use of the free compute credits Google is providing for free.
I am trying to deploy my model on Render, but getting the following error:
File “app/server.py”, line 48, in
learn = loop.run_until_complete(asyncio.gather(*tasks))[0]
File “/usr/local/lib/python3.7/asyncio/base_events.py”, line 584, in run_until_complete
return future.result()
File “app/server.py”, line 35, in setup_learner
learn = load_learner(path, export_file_name)
File “/usr/local/lib/python3.7/site-packages/fastai/basic_train.py”, line 598, in load_learner
state = torch.load(source, map_location=‘cpu’) if defaults.device == torch.device(‘cpu’) else torch.load(source)
File “/usr/local/lib/python3.7/site-packages/torch/serialization.py”, line 387, in load
return _load(f, map_location, pickle_module, **pickle_load_args)
File “/usr/local/lib/python3.7/site-packages/torch/serialization.py”, line 564, in _load
magic_number = pickle_module.load(f, **pickle_load_args)
_pickle.UnpicklingError: invalid load key, ‘<’.
However now I m getting the following error now:
Jun 11 03:41:50 PM File “app/server.py”, line 17
Jun 11 03:41:50 PM export_file_url = ‘https://drive.google.com/uc?export=download&id=1-pQHp5iT5BiuyBchBq0yBYQIzmsM9is9’
Jun 11 03:41:50 PM ^
Jun 11 03:41:50 PM error building image: error building stage: waiting for process to exit: exit status 1
Jun 11 03:41:50 PM SyntaxError: invalid syntax
Jun 11 03:41:50 PM error: exit status 1
What am I doing wrong? I have followed exactly the same instructions provided?
I uploaded my export.pkl file to Google Drive and updated all the requisite libraries to match with the render requirements.txt and was still receiving the error:
_pickle.UnpicklingError: invalid load key, '<'.
After running the docker image locally I finally found the problem was because my .pkl file was over 25Mb. Google Drive prompts large download attempts with a warning page about virus scanning (even using that confirmation link as the download url fails!). The html warning page is downloaded instead
I have the same error, but as it happens I did try dropbox as well but still got the same issue (see below).
How did you manage to get the full error description? I just want to confirm it’s a size error. I am using a free dropbox account, but I don’t think there is any limitations there. The link I have take me to a page where you have to click download. I’m wondering if that might the issue?
Ok, figured out what I was doing wrong!
The dropbox URL link was set with 0 at the end, and not 1. Set to one it allowed the file to download straight away
Getting the following error when deploying to render… any ideas?
File "app/server.py", line 48, in <module>
learn = loop.run_until_complete(asyncio.gather(*tasks))[0]
File "/usr/local/lib/python3.7/asyncio/base_events.py", line 584, in run_until_complete
return future.result()
File "app/server.py", line 35, in setup_learner
learn = load_learner(path, export_file_name)
File "/usr/local/lib/python3.7/site-packages/fastai/basic_train.py", line 600, in load_learner
src = LabelLists.load_state(path, state.pop('data'))
KeyError: 'data'
My model uses a PTH file and I see the export file name is a .pkl could that be the issue??
Where did you get that requirements.txt from? Did you create it yourself? It has different versions of things compared with the example from Anurag and co. here.
Having Googled your error messages (about numpy _multiarray_umath), I found this here saying that _multiarray_umath is new in numpy 1.16.0, whereas your requirements.txt asked for 1.15.1. That might be the problem?
I suggest trying to follow/use the example repo’s requirements.txt first, see if it works.
Hey - I was able to sort out this issue if you are still seeing it, there is an issue with the model file of some sort. I was passing off a PTH file instead of a PKL file to the server which caused the issue. Might be the same but the issue is that the pop function can’t find the key data
have found a way to go about the application, mine is now working. how i go about it:
i fork the fastai-v3-render app repo for teddy bear again, connect it to the render web service and deploy
to check if is working. it actually work.
since the teddy bear app is working, i followed the direction from the top post by @aschillerhere . for file whose mb is > 25 mb might be seen as virus, so i generate a google cloud api with the shared link of the export.pkl. follow the step here.
then i copied the generated link to the teddy bear server.py to replace the former export.pkl and change the class name. and deploy on render, it load properly, and it gave error that the nn.Module is different
so i changed the fastai verion to my own version 1.0.54 and torch to 1.0.0 and torch vision to torchvision=0.2.1.
5)then it was deployed again and it work perfectly
