Closed KD1994 closed 5 years ago
Hi,
I'm trying to run this on Google colab, while i'm facing this issue for the tensorpack. Do you have any idea how i can resolve this?
KeyError Traceback (most recent call last) in () ----> 1 from lib.core.base_trainer.net_work import trainner 2 import setproctitle 3 4 setproctitle.setproctitle("detect") 5 4 frames /content/drive/My Drive/DSFD-tensorflow-master/lib/core/base_trainer/net_work.py in () 10 from functools import partial 11 ---> 12 from lib.dataset.dataietr import DsfdDataIter 13 from lib.core.model.net.ssd import SSD 14 from train_config import config as cfg /content/drive/My Drive/DSFD-tensorflow-master/lib/dataset/dataietr.py in () 10 11 from lib.helper.logger import logger ---> 12 from tensorpack.dataflow import DataFromList 13 from tensorpack.dataflow import BatchData, MultiThreadMapData, MultiProcessPrefetchData 14 /usr/local/lib/python3.6/dist-packages/tensorpack/init.py in () 6 7 from tensorpack.utils import ----> 8 from tensorpack.dataflow import 9 10 # dataflow can be used alone without installing tensorflow /usr/local/lib/python3.6/dist-packages/tensorpack/dataflow/init.py in () 46 if not modulename.startswith('') and 47 module_name not in __SKIP: ---> 48 _global_import(module_name) 49 50 /usr/local/lib/python3.6/dist-packages/tensorpack/dataflow/init.py in _global_import(name) 30 lst = p.all if 'all' in dir(p) else dir(p) 31 if lst: ---> 32 del globals()[name] 33 for k in lst: 34 if not k.startswith('__'): KeyError: 'base'
Any suggestion would be great. Thank you
hi, Firstly, i sugget that using anaconda, :) The tensorpack version i use is 0.9.6. And seems like, it is a python package import problem. U could print the global(), see if there is base.
thaks
Thanks for the response. I don't have GPU with me now, so was hoping to train the model on Google colab:sweat_smile:
Anyways thanks for the suggestion I'll take a look into this.
Hi,
I'm trying to run this on Google colab, while i'm facing this issue for the tensorpack. Do you have any idea how i can resolve this?
Any suggestion would be great. Thank you