20 lines
649 B
Python
20 lines
649 B
Python
# Copyright (c) OpenMMLab. All rights reserved.
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import torch
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from mmseg.models.decode_heads import DAHead
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from .utils import to_cuda
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def test_da_head():
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inputs = [torch.randn(1, 16, 23, 23)]
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head = DAHead(in_channels=16, channels=8, num_classes=19, pam_channels=8)
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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 isinstance(outputs, tuple) and len(outputs) == 3
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for output in outputs:
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assert output.shape == (1, head.num_classes, 23, 23)
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test_output = head.forward_test(inputs, None, None)
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assert test_output.shape == (1, head.num_classes, 23, 23)
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