lmzintgraf / cavia Goto Github PK
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License: MIT License
Code for "Fast Context Adaptation via Meta-Learning"
License: MIT License
hello,
i ran the code for classification on google colab, downloading files on google drive.
the images folder containing 60,000 images crashes as google drive cannot handle so many files within one folder.
is a modification in the code, that is split into train, test and val folders, that contain images possible, this is the link for these splits
https://meta-transfer-learning.yaoyao-liu.com/download/
thanks
ok I was able to run it
Has anyone encountered a similar problem as me?
/home/qiuhao/anaconda3/lib/python3.7/site-packages/gym/spaces/box.py:128: RuntimeWarning: invalid value encountered in greater_equal
return x.shape == self.shape and np.all(x >= self.low) and np.all(x <= self.high)
/home/qiuhao/anaconda3/lib/python3.7/site-packages/gym/spaces/box.py:128: RuntimeWarning: invalid value encountered in greater_equal
return x.shape == self.shape and np.all(x >= self.low) and np.all(x <= self.high)
/home/qiuhao/anaconda3/lib/python3.7/site-packages/gym/spaces/box.py:128: RuntimeWarning: invalid value encountered in greater_equal
return x.shape == self.shape and np.all(x >= self.low) and np.all(x <= self.high)
/home/qiuhao/anaconda3/lib/python3.7/site-packages/gym/spaces/box.py:128: RuntimeWarning: invalid value encountered in greater_equal
return x.shape == self.shape and np.all(x >= self.low) and np.all(x <= self.high)
/home/qiuhao/anaconda3/lib/python3.7/site-packages/gym/spaces/box.py:128: RuntimeWarning: invalid value encountered in greater_equal
return x.shape == self.shape and np.all(x >= self.low) and np.all(x <= self.high)
/home/qiuhao/anaconda3/lib/python3.7/site-packages/gym/spaces/box.py:128: RuntimeWarning: invalid value encountered in greater_equal
return x.shape == self.shape and np.all(x >= self.low) and np.all(x <= self.high)
/home/qiuhao/anaconda3/lib/python3.7/site-packages/gym/spaces/box.py:128: RuntimeWarning: invalid value encountered in greater_equal
return x.shape == self.shape and np.all(x >= self.low) and np.all(x <= self.high)
/home/qiuhao/anaconda3/lib/python3.7/site-packages/gym/spaces/box.py:128: RuntimeWarning: invalid value encountered in greater_equal
return x.shape == self.shape and np.all(x >= self.low) and np.all(x <= self.high)
Process EnvWorker-8:
/home/qiuhao/anaconda3/lib/python3.7/site-packages/gym/spaces/box.py:128: RuntimeWarning: invalid value encountered in greater_equal
return x.shape == self.shape and np.all(x >= self.low) and np.all(x <= self.high)
/home/qiuhao/anaconda3/lib/python3.7/site-packages/gym/spaces/box.py:128: RuntimeWarning: invalid value encountered in greater_equal
return x.shape == self.shape and np.all(x >= self.low) and np.all(x <= self.high)
/home/qiuhao/anaconda3/lib/python3.7/site-packages/gym/spaces/box.py:128: RuntimeWarning: invalid value encountered in greater_equal
return x.shape == self.shape and np.all(x >= self.low) and np.all(x <= self.high)
/home/qiuhao/anaconda3/lib/python3.7/site-packages/gym/spaces/box.py:128: RuntimeWarning: invalid value encountered in greater_equal
return x.shape == self.shape and np.all(x >= self.low) and np.all(x <= self.high)
/home/qiuhao/anaconda3/lib/python3.7/site-packages/gym/spaces/box.py:128: RuntimeWarning: invalid value encountered in greater_equal
return x.shape == self.shape and np.all(x >= self.low) and np.all(x <= self.high)
/home/qiuhao/anaconda3/lib/python3.7/site-packages/gym/spaces/box.py:128: RuntimeWarning: invalid value encountered in greater_equal
return x.shape == self.shape and np.all(x >= self.low) and np.all(x <= self.high)
Process EnvWorker-2:
Process EnvWorker-6:
Process EnvWorker-1:
Process EnvWorker-10:
Process EnvWorker-12:
Process EnvWorker-39:
Process EnvWorker-5:
Process EnvWorker-21:
Process EnvWorker-14:
Process EnvWorker-3:
Process EnvWorker-23:
Traceback (most recent call last):
/home/qiuhao/anaconda3/lib/python3.7/site-packages/gym/spaces/box.py:128: RuntimeWarning: invalid value encountered in greater_equal
return x.shape == self.shape and np.all(x >= self.low) and np.all(x <= self.high)
File "/home/qiuhao/anaconda3/lib/python3.7/multiprocessing/process.py", line 297, in _bootstrap
self.run()
File "/home/qiuhao/qiuhaolovestudy/cavia/rl/envs/subproc_vec_env.py", line 46, in run
if self.done else self.env.step(data))
File "/home/qiuhao/anaconda3/lib/python3.7/site-packages/gym/wrappers/time_limit.py", line 16, in step
observation, reward, done, info = self.env.step(action)
File "/home/qiuhao/qiuhaolovestudy/cavia/rl/envs/navigation.py", line 54, in step
assert self.action_space.contains(action)
Hi, many thanks for your code, helping me a lot.
I cannot reproduce your results in the image completion task when the point number is set as 100 and 1000.
I think maybe I set some incorrect hyperparameters. Could you share your python command or hyperparameters with me? Thanks very much!
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