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Use black for lib/models

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D-X-Y
2021-05-12 16:28:05 +08:00
parent d51e5fdc7f
commit f1c47af5fa
42 changed files with 7552 additions and 4688 deletions
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22
lib/models/shape_searchs/test.py
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@@ -6,15 +6,15 @@ import torch.nn as nn
from SoftSelect import ChannelWiseInter
if __name__ == '__main__':
if __name__ == "__main__":
tensors = torch.rand((16, 128, 7, 7))
for oc in range(200, 210):
out_v1 = ChannelWiseInter(tensors, oc, 'v1')
out_v2 = ChannelWiseInter(tensors, oc, 'v2')
assert (out_v1 == out_v2).any().item() == 1
for oc in range(48, 160):
out_v1 = ChannelWiseInter(tensors, oc, 'v1')
out_v2 = ChannelWiseInter(tensors, oc, 'v2')
assert (out_v1 == out_v2).any().item() == 1
tensors = torch.rand((16, 128, 7, 7))
for oc in range(200, 210):
out_v1 = ChannelWiseInter(tensors, oc, "v1")
out_v2 = ChannelWiseInter(tensors, oc, "v2")
assert (out_v1 == out_v2).any().item() == 1
for oc in range(48, 160):
out_v1 = ChannelWiseInter(tensors, oc, "v1")
out_v2 = ChannelWiseInter(tensors, oc, "v2")
assert (out_v1 == out_v2).any().item() == 1