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  | import numpy as np | |
| import pickle | |
| class ImageDataset(): | |
| def __init__(self, datasets, transform=[], type='train', resize = False): | |
| super(ImageDataset, self).__init__() | |
| with open(datasets, mode='rb') as f: | |
| datasets = pickle.load(f) | 
  
    
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  | """ | |
| Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
| BSD License | |
| """ | |
| import numpy as np | |
| # data I/O | |
| data = open('input.txt', 'r').read() # should be simple plain text file | |
| chars = list(set(data)) | |
| data_size, vocab_size = len(data), len(chars) | 
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