import subprocess
+import torch
from torch import nn
-from torch.nn import functional as fn
-from torch import Tensor
-from torch.autograd import Variable
from torch.nn import Module
import agtree2dot
class MLP(Module):
def __init__(self, input_dim, hidden_dim, output_dim):
- super(MLP, self).__init__()
+ super().__init__()
self.fc1 = nn.Linear(input_dim, hidden_dim)
self.fc2 = nn.Linear(hidden_dim, output_dim)
def forward(self, x):
x = self.fc1(x)
- x = fn.tanh(x)
+ x = torch.tanh(x)
x = self.fc2(x)
return x
mlp = MLP(10, 20, 1)
-input = Variable(Tensor(100, 10).normal_())
-target = Variable(Tensor(100).normal_())
-output = mlp(input)
criterion = nn.MSELoss()
+
+input = torch.randn(100, 10)
+target = torch.randn(100, 1)
+
+output = mlp(input)
+
loss = criterion(output, target)
agtree2dot.save_dot(loss,
print('Generated mlp.dot')
try:
- fontname='Computer Modern'
- fontsize=12
+
+ fontname = 'Computer Modern'
+ fontsize = 12
subprocess.check_call(['dot', 'mlp.dot',
'-Lg',
'-T', 'pdf',
'-Efontname=' + fontname, '-Efontsize=' + str(fontsize),
'-Nfontname=' + fontname, '-Nfontsize=' + str(fontsize),
'-o', 'mlp.pdf' ])
+
except subprocess.CalledProcessError:
+
print('Calling the dot command failed. Is Graphviz installed?')
sys.exit(1)