From: Francois Fleuret <francois@fleuret.org>
Date: Wed, 13 Jun 2018 19:14:35 +0000 (+0200)
Subject: Added an error if named_parameters is called before the first forward()
X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=commitdiff_plain;h=bbc4ab46de8cb2e05f83e35e15f3adfd23490089;p=pytorch.git

Added an error if named_parameters is called before the first forward()
---

diff --git a/lazy_linear.py b/lazy_linear.py
index 4599f00..b3d3165 100755
--- a/lazy_linear.py
+++ b/lazy_linear.py
@@ -23,16 +23,25 @@ class LazyLinear(nn.Module):
 
         return self.core(x)
 
+    def named_parameters(self, memo=None, prefix=''):
+        assert self.core is not None, 'Parameters not yet defined'
+        return super(LazyLinear, self).named_parameters(memo, prefix)
+
 ######################################################################
 
-model = nn.Sequential(nn.Conv2d(1, 8, kernel_size = 5),
-                      nn.ReLU(inplace = True),
-                      LazyLinear(128),
-                      nn.ReLU(inplace = True),
-                      nn.Linear(128, 10))
+if __name__ == "__main__":
+    model = nn.Sequential(nn.Conv2d(3, 8, kernel_size = 5),
+                          nn.ReLU(inplace = True),
+                          LazyLinear(128),
+                          nn.ReLU(inplace = True),
+                          nn.Linear(128, 10))
+
+    # model.eval()
+
+    input = Tensor(100, 3, 32, 32).normal_()
 
-# model.eval()
+    output = model(input)
 
-input = Tensor(100, 1, 32, 32).normal_()
+    for n, x in model.named_parameters():
+        print(n, x.size())
 
-output = model(input)