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# Copyright (c) OpenMMLab. All rights reserved. | |
import torch | |
import torch.nn.functional as F | |
from mmcv.cnn.bricks import Swish | |
def test_swish(): | |
act = Swish() | |
input = torch.randn(1, 3, 64, 64) | |
expected_output = input * F.sigmoid(input) | |
output = act(input) | |
# test output shape | |
assert output.shape == expected_output.shape | |
# test output value | |
assert torch.equal(output, expected_output) | |