PAN / data /__init__.py
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init model
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from importlib import import_module
from torch.utils.data import dataloader
class Data:
def __init__(self, args):
self.loader_test = []
for d in args.data_test:
if d in ['Set5', 'Set14', 'B100', 'Urban100']:
m = import_module('data.benchmark')
testset = getattr(m, 'Benchmark')(args, name=d)
else:
raise NotImplementedError
self.loader_test.append(
dataloader.DataLoader(
testset,
batch_size=1,
shuffle=False,
pin_memory=False,
num_workers=args.n_threads,
)
)