Hi, Pls. keep me posted. I would like to contribute so that students can run the code in CPU mode also.
Lession1 failing to run on crestle
Ran file: lesson1-crestle.ipynb
Failed at line:
Error:
Kindly advise.
The error stack says that you have no Nvidia drivers.
Are you running it in CPU only mode?
Try switching the GPU on?
GPU is enabled 
Pls. check the highlighted text on error image.
I didnât see that apologies. Iâll try running it on my crestle ID and see.
Edit:
@vikbehal I was able to run the nb without any errors on crestle.
I am running the course1 nootbook on crestle.
during the below step, the notebook freezes at 0%: Anyone facing this issue?
code:
sleep(1)
learn.fit(1e-2, 3, cycle_len=1)
output:
Epoch
0% 0/3 [00:00<?, ?it/s]
0%| | 0/360 [00:00<?, ?it/s]
@mprabhu, yes, me too. I switched to AWS and it worked, so not sure what problem is on Crestle.
@memetzgz, thanks for responding. so its related with crestle environment.
How did you setup AWS instance?
As jeremy told we will use AWS from week 2 I havenât tried it yet.
@mprabhu, I had set up an Amazon instance previously using the ami from last yearâs course. I cloned this yearâs repo in, set up a new fastai evironment and it seemed to work, for lesson 1 at least . . .
The archive for last yearâs MOOC has the instructions for setting up on AWS here: http://course.fast.ai/lessons/aws.html
It might be safer to wait for the new ami that Jeremy has indicated he is creating? Not sure if it will create problems/conflicts to use the old ami.
@memetzgz hi, iâm finding crestle really slow so trying to set up my aws environment. Can you tell me the type of ami you are using so I can find the same one in my region and begin he setup process? thx
Hello
Anyone got this error?
%%time
data = ImageClassifierData.from_paths(PATH, tfms=tfms_from_model(resnet34, sz))
learn = ConvLearner.pretrained(resnet34, data, precompute=True)
learn.fit(0.01, 1)
AssertionError Traceback (most recent call last)
in ()
~/workspace/fastai/courses/dl1/fastai/conv_learner.py in pretrained(self, f, data, ps, xtra_fc, xtra_cut, **kwargs)
87 def pretrained(self, f, data, ps=None, xtra_fc=None, xtra_cut=0, **kwargs):
88 models = ConvnetBuilder(f, data.c, data.is_multi, data.is_reg, ps=ps, xtra_fc=xtra_fc, xtra_cut=xtra_cut)
â> 89 return self(data, models, **kwargs)
90
91 @property
~/workspace/fastai/courses/dl1/fastai/conv_learner.py in init(self, data, models, precompute, **kwargs)
80 elif self.metrics is None:
81 self.metrics = [accuracy_multi] if self.data.is_multi else [accuracy]
â> 82 if precompute: self.save_fc1()
83 self.freeze()
84 self.precompute = precompute
~/workspace/fastai/courses/dl1/fastai/conv_learner.py in save_fc1(self)
127 self.fc_data = ImageClassifierData.from_arrays(self.data.path,
128 (act, self.data.trn_y), (val_act, self.data.val_y), self.data.bs, classes=self.data.classes,
â> 129 test = test_act if self.data.test_dl else None, num_workers=8)
130
131 def freeze(self): self.freeze_to(-self.models.n_fc)
~/workspace/fastai/courses/dl1/fastai/dataset.py in from_arrays(self, path, trn, val, bs, tfms, classes, num_workers, test)
282 @classmethod
283 def from_arrays(self, path, trn, val, bs=64, tfms=(None,None), classes=None, num_workers=4, test=None):
â> 284 datasets = self.get_ds(ArraysIndexDataset, trn, val, tfms, test=test)
285 return self(path, datasets, bs, num_workers, classes=classes)
286
~/workspace/fastai/courses/dl1/fastai/dataset.py in get_ds(self, fn, trn, val, tfms, test, **kwargs)
266 def get_ds(self, fn, trn, val, tfms, test=None, **kwargs):
267 res = [
â> 268 fn(trn[0], trn[1], tfms[0], **kwargs), # train
269 fn(val[0], val[1], tfms[1], **kwargs), # val
270 fn(trn[0], trn[1], tfms[1], **kwargs), # fix
~/workspace/fastai/courses/dl1/fastai/dataset.py in init(self, x, y, transform)
162 def init(self, x, y, transform):
163 self.x,self.y=x,y
â> 164 assert(len(x)==len(y))
165 super().init(transform)
166 def get_x(self, i):
AssertionError:
The first item under the Lesson Resources heading mentions the unedited videos for Section 1 and Section 2 
What Python version are you running?
Hi @ange, I used the ami from last yearâs course, view the getting set up video from last yearâs course for details: http://course.fast.ai/lessons/aws.html
InterestingâŚ
thanks
anyone get this error when running through this line in the notebook?
from fastai.imports import *
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-4-178e52808742> in <module>()
----> 1 from fastai.imports import *
~/fastai/courses/dl1/fastai/imports.py in <module>()
1 from IPython.lib.deepreload import reload as dreload
----> 2 import PIL, os, numpy as np, math, collections, cv2, threading, json, bcolz, random, scipy
3 import random, pandas as pd, pickle, sys, itertools, string, sys, re, datetime
4 import seaborn as sns, matplotlib
5 from abc import abstractmethod
ModuleNotFoundError: No module named 'cv2'
When I try to do pip3 install cv2, I get the error:
Collecting cv2
Could not find a version that satisfies the requirement cv2 (from versions: )
No matching distribution found for cv2
Iâm running this within Anaconda 5.0.1, python 3.6
For people who are interested in using Google cloud service - they are providing free cloud service to people having valid credit cards. Also there is a post which I have compiled Lesson 1 using Google Cloud . Feel free to add suggestions in the reply box.
1 Like
Yeah, you have to install the opencv and other dependent libraries manually, Check this link.
Opencv3 | Anaconda.org. I had the same problem, If will ask you to install another 4 to 6 lib like this, just search in conda cloud for the python3.6 v and install it in your machine.
Make sure you note down all your cmdâs used to install and post it in the forum for further reference. I mistakenly closed the cmd list after the joy of successful run 
thx @santhanam
If you experience some dead lock after successful lib installation follow this link, because I am having this issue for now 