I’m working on Zach’s walkthrough, and on this notebook
Running on a p2.xlarge deep learning ubuntu ami, with the following config https://gist.github.com/foobar8675/f6f352f9ddada60a45da6257b4ba949a with these relevant libraries
- fastai2==0.0.11
- fastcore==0.1.14
- fastprogress==0.2.2
- torch==1.4.0
- torchvision==0.5.0
I’m getting the following error when calling
def create_gen_learner():
return unet_learner(dls_gen, bbone, loss_func=loss_gen,
config=cfg)
learn_gen = create_gen_learner()
and narrowed it down to module.py
line 576
def __getattr__(self, name):
if '_parameters' in self.__dict__:
_parameters = self.__dict__['_parameters']
if name in _parameters:
return _parameters[name]
if '_buffers' in self.__dict__:
_buffers = self.__dict__['_buffers']
if name in _buffers:
return _buffers[name]
if '_modules' in self.__dict__:
modules = self.__dict__['_modules']
if name in modules:
return modules[name]
# this line
raise AttributeError("'{}' object has no attribute '{}'".format(
#error msg
'Conv2d' object has no attribute 'weight'
It works fine in colab but don’t know why it does not work on my aws instance. Any suggestions would be welcome.