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lines changed Original file line number Diff line number Diff line change 1212# 1. Basic autograd example 1 (Line 21 to 36)
1313# 2. Basic autograd example 2 (Line 39 to 77)
1414# 3. Loading data from numpy (Line 80 to 83)
15- # 4. Implementing the input pipline (Line 86 to 113)
16- # 5. Input pipline for custom dataset (Line 116 to 138)
15+ # 4. Implementing the input pipeline (Line 86 to 113)
16+ # 5. Input pipeline for custom dataset (Line 116 to 138)
1717# 6. Using pretrained model (Line 141 to 155)
1818# 7. Save and load model (Line 158 to 165)
1919
8383c = b .numpy () # convert torch tensor to numpy array
8484
8585
86- #===================== Implementing the input pipline =====================#
86+ #===================== Implementing the input pipeline =====================#
8787# Download and construct dataset.
8888train_dataset = dsets .CIFAR10 (root = '../data/' ,
8989 train = True ,
113113 pass
114114
115115
116- #===================== Input pipline for custom dataset =====================#
116+ #===================== Input pipeline for custom dataset =====================#
117117# You should build custom dataset as below.
118118class CustomDataset (data .Dataset ):
119119 def __init__ (self ):
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