mirror of https://github.com/open-mmlab/mmcv.git
22 lines
511 B
Python
22 lines
511 B
Python
import torch
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from mmcv.cnn.bricks import Scale
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def test_scale():
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# test default scale
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scale = Scale()
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assert scale.scale.data == 1.
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assert scale.scale.dtype == torch.float
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x = torch.rand(1, 3, 64, 64)
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output = scale(x)
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assert output.shape == (1, 3, 64, 64)
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# test given scale
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scale = Scale(10.)
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assert scale.scale.data == 10.
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assert scale.scale.dtype == torch.float
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x = torch.rand(1, 3, 64, 64)
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output = scale(x)
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assert output.shape == (1, 3, 64, 64)
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