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github.com/OUCMachineLearning/OUCML
/ mask2d
Function
mask2d
AutoML/darts-master/rnn/utils.py:87–92 ·
view source on GitHub ↗
(B, D, keep_prob, cuda=True)
Source
from the content-addressed store, hash-verified
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def
mask2d(B, D, keep_prob, cuda=True):
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m = torch.floor(torch.rand(B, D) + keep_prob) / keep_prob
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m = Variable(m, requires_grad=False)
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if
cuda:
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m = m.cuda()
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return
m
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Callers
1
forward
Method · 0.90
Calls
no outgoing calls
Tested by
no test coverage detected