It is very important for training to record the parameters or data!
Code import numpy as np
# define
dict = {'a' : {1,2,3}, 'b': {4,5,6}}
# save
np.save('dict.npy', dict)
# load
dict_load=np.load('dict.npy', allow_pickle=True)
print("dict =", dict_load.item())
print("dict['a'] =", dict_load.item()['a'])
output:
dict = {'a': {1, 2, 3}, 'b': {4, 5, 6}}
dict['a'] = {1, 2, 3}
References
- numpy.load
- numpy.save
numpy.savez is also a interesting method, you could use it to record the specific array with keywords like dict. The type of file is .npz
- Example
>>> from tempfile import TemporaryFile >>> outfile = TemporaryFile() >>> x = np.arange(10) >>> y = np.sin(x) >>> np.savez(outfile, x=x, y=y) >>> npzfile = np.load(outfile) >>> npzfile.files ['x', 'y'] >>> npzfile['x'] array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
from numpy.savez



