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from __future__ import absolute_import
from __future__ import print_function
import torch.nn as nn
import torch
class Linear(nn.Module):
def __init__(self, p_dropout=1):
super(Linear, self).__init__()
self.dropout = nn.Dropout(p_dropout)
def forward(self, x):
y = self.dropout(x)
return y
net = Linear()
a = torch.ones(4)
net.train()
print(net(a))
net.eval()
b = torch.ones(4)
print(net(b))
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| Variable containing:
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[torch.FloatTensor of size 4]
Variable containing:
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[torch.FloatTensor of size 4]
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