Hi, there is an error triggered when testing:
def define_transformations(mean=imagenet_mean, std=imagenet_std)
Specifically,
Failed test case: Normalize found in train_transform, but with incorrect mean and/or std.
Expected: (mean=mean, std=std)
Got: (mean=(0.48500001430511475, 0.4560000002384186, 0.4059999883174896), std=(0.2290000021457672, 0.2240000069141388, 0.22499999403953552))
Failed test case: Normalize found in val_transform, but with incorrect mean and/or std.
Expected: (mean=mean, std=std)
Got: (mean=(0.48500001430511475, 0.4560000002384186, 0.4059999883174896), std=(0.2290000021457672, 0.2240000069141388, 0.22499999403953552))
Although the code uses both mean and std passed by the notebook, and, the results match the expected ones described below the cell to be completed.
Any ideas? Thanks