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15 lines
448 B
Python
15 lines
448 B
Python
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import torch
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class TestMaskedConv2d(object):
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def test_masked_conv2d(self):
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if not torch.cuda.is_available():
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return
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from mmcv.ops import MaskedConv2d
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input = torch.randn(1, 3, 16, 16, requires_grad=True, device='cuda')
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mask = torch.randn(1, 16, 16, requires_grad=True, device='cuda')
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conv = MaskedConv2d(3, 3, 3).cuda()
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output = conv(input, mask)
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assert output is not None
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