Hi all,
I’m trying to train my network for “Dog breeds” competition, but after running ConvLearner.pretrained, I get the error message: NameError: name ‘to_gpu’ is not defined.
Can somebody know how to solve this problem?
My code:
%reload_ext autoreload
%autoreload 2
%matplotlib inline
from fastai.imports import *
import pandas as pd
import numpy as np
import cv2
from fastai.transforms import *
from fastai.conv_learner import *
from fastai.model import *
from fastai.dataset import *
from fastai.sgdr import *
from fastai.plots import *
PATH = './'
sz = 224
arch = resnet34
bs = 10
label_file = f'{PATH}labels.csv'
n = len(list(open(label_file)))-1
val_idxs = get_cv_idxs(n)
data = ImageClassifierData.from_csv(path=PATH, folder='test', csv_fname=label_file,
val_idxs=val_idxs, suffix='.jpg', tfms=tfms_from_model(arch, sz), bs=bs)
learn = ConvLearner.pretrained(arch, data, precompute=True)
Error message:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-6-977ee74c5c67> in <module>
6 data = ImageClassifierData.from_csv(path=PATH, folder='test', csv_fname=label_file,
7 val_idxs=val_idxs, suffix='.jpg', tfms=tfms_from_model(arch, sz), bs=bs)
----> 8 learn = ConvLearner.pretrained(arch, data, precompute=True)
~/anaconda3/envs/fastai/lib/python3.6/site-packages/fastai/conv_learner.py in pretrained(cls, f, data, ps, xtra_fc, xtra_cut, **kwargs)
92 @classmethod
93 def pretrained(cls, f, data, ps=None, xtra_fc=None, xtra_cut=0, **kwargs):
---> 94 models = ConvnetBuilder(f, data.c, data.is_multi, data.is_reg, ps=ps, xtra_fc=xtra_fc, xtra_cut=xtra_cut)
95 return cls(data, models, **kwargs)
96
~/anaconda3/envs/fastai/lib/python3.6/site-packages/fastai/conv_learner.py in __init__(self, f, c, is_multi, is_reg, ps, xtra_fc, xtra_cut)
46 fc_layers = self.get_fc_layers()
47 self.n_fc = len(fc_layers)
---> 48 self.fc_model = to_gpu(nn.Sequential(*fc_layers))
49 apply_init(self.fc_model, kaiming_normal)
50 self.model = to_gpu(nn.Sequential(*(layers+fc_layers)))
NameError: name 'to_gpu' is not defined
and information about my env:
(Google Cloud Platform)
=== Software ===
python version : 3.6.7
fastai version : 1.0.36.post1
torch version : 1.0.0
nvidia driver : 410.72
torch cuda ver : 9.0.176
torch cuda is : available
torch cudnn ver : 7401
torch cudnn is : enabled
=== Hardware ===
nvidia gpus : 1
torch available : 1
- gpu0 : 11441MB | Tesla K80
=== Environment ===
platform : Linux-4.9.0-8-amd64-x86_64-with-debian-9.6
distro : #1 SMP Debian 4.9.130-2 (2018-10-27)
conda env : fastai
python : /home/zaborowski/anaconda3/envs/fastai/bin/python
sys.path :
/home/zaborowski/anaconda3/envs/fastai/lib/python36.zip
/home/zaborowski/anaconda3/envs/fastai/lib/python3.6
/home/zaborowski/anaconda3/envs/fastai/lib/python3.6/lib-dynload
/home/zaborowski/anaconda3/envs/fastai/lib/python3.6/site-packages
/home/zaborowski/anaconda3/envs/fastai/lib/python3.6/site-packages/IPython/extensions
Thu Dec 13 09:24:55 2018
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 410.72 Driver Version: 410.72 CUDA Version: 10.0 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 Tesla K80 Off | 00000000:00:04.0 Off | 0 |
| N/A 69C P8 32W / 149W | 11MiB / 11441MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
Can somebody help me with this?
