# model
num_classes = 65
model = dict(type='ResNet', depth=50, num_classes=num_classes)
loss = dict(
    test=dict(type='CrossEntropyLoss'),
)

# data
test_domains = ['A', 'C', 'P', 'R']  # A: Art, C: Clipart, P: Product, R: Real_World

batch_size = 64
num_workers = 4
mean = (0.485, 0.456, 0.406)
std = (0.229, 0.224, 0.225)

# log & save
log_interval = 100
work_dir = None  # rewritten by args
resume = None
load = './checkpoints/office_home/train_src_A/best_val.pth'
port = 10001
