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20 lines
579 B
Python
20 lines
579 B
Python
# Copyright (c) OpenMMLab. All rights reserved.
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import torch
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from mmseg.models import FPN
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def test_fpn():
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in_channels = [256, 512, 1024, 2048]
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inputs = [
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torch.randn(1, c, 56 // 2**i, 56 // 2**i)
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for i, c in enumerate(in_channels)
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]
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fpn = FPN(in_channels, 256, len(in_channels))
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outputs = fpn(inputs)
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assert outputs[0].shape == torch.Size([1, 256, 56, 56])
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assert outputs[1].shape == torch.Size([1, 256, 28, 28])
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assert outputs[2].shape == torch.Size([1, 256, 14, 14])
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assert outputs[3].shape == torch.Size([1, 256, 7, 7])
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