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AttributeError: 'CIFAR10' object has no attribute 'train_labels'

See original GitHub issue

Files already downloaded and verified
Traceback (most recent call last):
  File "/Federated-Learning-PyTorch/src/sampling.py", line 282, in <module>
    d = cifar_noniid(dataset_train, num)
  File "/Federated-Learning-PyTorch/src/sampling.py", line 248, in cifar_noniid
    labels = np.array(dataset.train_labels)
AttributeError: 'CIFAR10' object has no attribute 'train_labels'

Issue Analytics

State:
Created 3 years ago
Comments:5

Top GitHub Comments

2reactions

rambo-codercommented, May 6, 2021

Files already downloaded and verified
Traceback (most recent call last):
  File "/Federated-Learning-PyTorch/src/sampling.py", line 282, in <module>
    d = cifar_noniid(dataset_train, num)
  File "/Federated-Learning-PyTorch/src/sampling.py", line 248, in cifar_noniid
    labels = np.array(dataset.train_labels)
AttributeError: 'CIFAR10' object has no attribute 'train_labels'

Change train_labels to targets

0reactions

zenghuhcommented, Jul 28, 2020

my problem is "ValueError: all the input array dimensions for the concatenation axis must match exactly, but along dimension 1, the array at index 0 has size 50000 and the array at index 1 has size 60000 @AshwinRJ Have you solved @MrLinNing

num_shards, num_imgs = 200, 250 200*250=50000 ,the multiplication of these need equal to 60,000.

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