I get this error when I run the maml_miniimagenet.py.
Traceback (most recent call last):
File "C:\xxx\maml_miniimagenet.py", line 157, in
main()
File "C:\xxx\maml_miniimagenet.py", line 75, in main
tasksets = l2l.vision.benchmarks.get_tasksets('mini-imagenet',
File "C:\xxx\learn2learn\vision\benchmarks__init.py", line 101, in get_tasksets
datasets, transforms = _TASKSETS[name](train_ways=train_ways,
File "C:\xxx\learn2learn\vision\benchmarks\mini_imagenet_benchmark.py", line 48, in mini_imagenet_tasksets
train_dataset = l2l.vision.datasets.MiniImagenet(
File "C:\xxx\learn2learn\vision\datasets\mini_imagenet.py", line 111, in init__
self.data = pickle.load(f)
_pickle.UnpicklingError: invalid load key, '<'.
I get this error when I run the maml_miniimagenet.py. Traceback (most recent call last): File "C:\xxx\maml_miniimagenet.py", line 157, in
main()
File "C:\xxx\maml_miniimagenet.py", line 75, in main
tasksets = l2l.vision.benchmarks.get_tasksets('mini-imagenet',
File "C:\xxx\learn2learn\vision\benchmarks__init.py", line 101, in get_tasksets
datasets, transforms = _TASKSETS[name](train_ways=train_ways,
File "C:\xxx\learn2learn\vision\benchmarks\mini_imagenet_benchmark.py", line 48, in mini_imagenet_tasksets
train_dataset = l2l.vision.datasets.MiniImagenet(
File "C:\xxx\learn2learn\vision\datasets\mini_imagenet.py", line 111, in init__
self.data = pickle.load(f)
_pickle.UnpicklingError: invalid load key, '<'.