From: Francois Fleuret <francois@fleuret.org>
Date: Wed, 5 Sep 2018 07:21:01 +0000 (+0200)
Subject: Update.
X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=commitdiff_plain;h=a3c3a9430594b3109b314d02b81f91d9026c5f69;p=pytorch.git

Update.
---

diff --git a/hallu.py b/hallu.py
index 6b0b303..7da66a6 100755
--- a/hallu.py
+++ b/hallu.py
@@ -12,7 +12,7 @@ class MultiScaleEdgeEnergy(torch.nn.Module):
         super(MultiScaleEdgeEnergy, self).__init__()
         k = torch.exp(- torch.tensor([[-2., -1., 0., 1., 2.]])**2 / 2)
         k = (k.t() @ k).view(1, 1, 5, 5)
-        self.register_buffer('gaussian_5x5', k / k.sum())
+        self.gaussian_5x5 = torch.nn.Parameter(k / k.sum()).requires_grad_(False)
 
     def forward(self, x):
         u = x.view(-1, 1, x.size(2), x.size(3))
@@ -43,7 +43,7 @@ for l in [ 5, 7, 12, 17, 21, 28 ]:
     ref_output = model(ref_input).detach()
 
     for n in range(5):
-        input = ref_input.new_empty(ref_input.size()).uniform_(-0.01, 0.01).requires_grad_()
+        input = torch.empty_like(ref_input).uniform_(-0.01, 0.01).requires_grad_()
         optimizer = torch.optim.Adam( [ input ], lr = 1e-2)
         for k in range(1000):
             output = model(input)