A potential issue that might affect comparison fairness

[aiyolo]

rfs/eval_fewshot.py

Lines 126 to 131 in f8c837b

	meta_testloader = DataLoader(MetaCIFAR100(args=opt, partition='test',
	train_transform=train_trans,
	test_transform=test_trans,
	fix_seed=False),
	batch_size=opt.test_batch_size, shuffle=False, drop_last=False,
	num_workers=opt.num_workers)

In experiment, the flag of num_workers=3 in meta_testloader, it will assign 3 threads to fetch data, however, these threads have the same seed for np.random, which means it will sample 3 similar task, the 3 task has the same class, the same support images and the same query images, so it might be unfair to other methods although it is irrelevant to the performance.
By the way, setting worker_it_fn for each thread or num_workers<=1 might be a remedy.

[Jiawen-huang]

I solve it.
Just delete this sentence:
lambda x: np.asarray(x),

[aiyolo]

I don't think so, the line you commented maps x to a np.Array, which has nothing to with a random seed.