X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=blobdiff_plain;f=mlp.py;h=21d166bba9447a87315776cd741ad6d6f591e841;hb=518160de26086ae87643744e765440e4d92ebb42;hp=8497848fa7c32413a05dbbf47e159d06764113fd;hpb=63f04303f0320d25d36e6a4f9f535e62cdb139e1;p=agtree2dot.git diff --git a/mlp.py b/mlp.py index 8497848..21d166b 100755 --- a/mlp.py +++ b/mlp.py @@ -17,10 +17,11 @@ # Contact for comments & bug reports # ######################################################################### +import subprocess + 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 @@ -38,15 +39,40 @@ class MLP(Module): return x mlp = MLP(10, 20, 1) -input = Variable(Tensor(100, 10).normal_()) -target = Variable(Tensor(100).normal_()) +input = Tensor(100, 10).normal_() +target = Tensor(100, 1).normal_() output = mlp(input) criterion = nn.MSELoss() loss = criterion(output, target) agtree2dot.save_dot(loss, - { input: 'input', target: 'target', loss: 'loss' }, + { + input: 'input', + target: 'target', + loss: 'loss', + mlp.fc1.weight: 'weight1', + mlp.fc1.bias: 'bias1', + mlp.fc2.weight: 'weight2', + mlp.fc2.bias: 'bias2', + }, open('./mlp.dot', 'w')) -print('Generated mlp.dot. You can convert it to pdf with') -print('> dot mlp.dot -Lg -T pdf -o mlp.pdf') +print('Generated mlp.dot') + +try: + + 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) + +print('Generated mlp.pdf')