import torch
import torch.nn as nn
from torch import autograd
m = nn.Linear(20, 30)
input = autograd.Variable(torch.randn(128, 20))
output = m(input)
print(output.size())

ac2f34bc1b822bf15d08f98f46ff8ad5408fdbda
<mask token>

<mask token>
print(output.size())

<mask token>
m = nn.Linear(20, 30)
input = autograd.Variable(torch.randn(128, 20))
output = m(input)
print(output.size())

import torch
import torch.nn as nn
from torch import autograd
m = nn.Linear(20, 30)
input = autograd.Variable(torch.randn(128, 20))
output = m(input)
print(output.size())
