For help with FloydHub, please ask here.
- Tutorial to get started
- FloydHub docs for more info
@redeipirati and @whatrocks from FloydHub are here to help you.
For help with FloydHub, please ask here.
@redeipirati and @whatrocks from FloydHub are here to help you.
If any students try this, please let me know. I haven’t got any 1st-hand experience myself with FloydHub.
Hi Jeremy,
I frequently use floydhub, I’ve run the notebook you covered in class and tried my own problem using the same. They work out alright if i make the necessary installations in the cells:
!pip install torch_nightly -f https://download.pytorch.org/whl/nightly/cu92/torch_nightly.html
!pip install fastai
!pip install fastai --upgrade
!pip show fastai
Hi,
Without the steps i mentioned before data.classes
method and the function ImageDataBunch.from_folder
don’t seem to be working in floydhub.
data.classes
throws a Nonetype error
ImageDataBunch.from_folder
returns an empty object
Even with the floyd requirements file.
Ah, I believe that I need to adjust the instruction guide then to have the user either do what you suggest by updating the fastai
library each time the Workspace is live, or by specifying the latest current version of fastai
in the floyd_requirements.txt
file. I’ll make this adjustment soon!
I had thought that pip
would have installed the latest version of a package when you don’t specify a version number, but because our PyTorch image is already including an earlier version of fastai
in the image it doesn’t seem to be kicking off an update.
I am running into an issue with floydhub where in my GPU instance using the techniques from the course on a dataset I created I only get a few small spikes of GPU utilization training a resnet 34 no matter what batch size I have. The setup is that I created a Floydhub Dataset from a Kaggle competition dataset and I mount that into my workspace. I did some initial work on getting the datablock api correct in a CPU instance, and then restarted in GPU to do some training. I tried upgrading to the latest fastai library explicitly and that did not help any. Thoughts?
Hi @redeipirati and @whatrocks,
I am trying to deploy as a REST API the repository described in this post on the forum using FloydHub.
Following FloydHub’s tutorial, I think I managed to deploy the repository because I received a success message in the console, and see the serving instance running when I go on the platform. However, when I try to test the API using:
curl
-X POST
-o out.json
-F "file=@./face.jpg"
https://www.floydlabs.com/serve/V4hAbLCf6YkGCENunyxxwK ## My service endpoint URL
I get:
curl: (92) HTTP/2 stream 0 was not closed cleanly: INTERNAL_ERROR (err 2)
Any idea what’s the issue here, and how I can solve it?
Thanks,
Sebastien
Hi, I’ve been using Floydhub up through the Lesson 3 Planet notebook without too much issue, but in this lesson I’m having major problems. I have pulled the latest notebooks.
Has anybody had more luck either getting Kaggle to work with Floyd or getting conda or 7zip to work with Floydhub?