23 lines
604 B
Python
23 lines
604 B
Python
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import torch
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from mmseg.models.decode_heads import EMAHead
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from .utils import to_cuda
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def test_emanet_head():
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head = EMAHead(
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in_channels=32,
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ema_channels=24,
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channels=16,
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num_stages=3,
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num_bases=16,
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num_classes=19)
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for param in head.ema_mid_conv.parameters():
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assert not param.requires_grad
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assert hasattr(head, 'ema_module')
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inputs = [torch.randn(1, 32, 45, 45)]
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if torch.cuda.is_available():
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head, inputs = to_cuda(head, inputs)
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outputs = head(inputs)
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assert outputs.shape == (1, head.num_classes, 45, 45)
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