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# Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmpose.models import builder
def test_v2v_net():
"""Test V2VNet."""
cfg = dict(type='V2VNet', input_channels=17, output_channels=15),
model = builder.build_backbone(*cfg)
input = torch.randn(2, 17, 32, 32, 32)
output = model(input)
assert output.shape == (2, 15, 32, 32, 32)