diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..c20c2ab
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,2 @@
+__pycache__
+
diff --git a/decagon_pytorch/convolve.py b/decagon_pytorch/convolve.py
new file mode 100755
index 0000000..e69de29
diff --git a/decagon_pytorch/weight.py b/decagon_pytorch/weight.py
new file mode 100755
index 0000000..5321660
--- /dev/null
+++ b/decagon_pytorch/weight.py
@@ -0,0 +1,13 @@
+import torch
+import numpy as np
+
+
+def weight_variable_glorot(input_dim, output_dim):
+    """Create a weight variable with Glorot & Bengio (AISTATS 2010)
+    initialization.
+    """
+    init_range = np.sqrt(6.0 / (input_dim + output_dim))
+    initial = -init_range + 2 * init_range * \
+        torch.rand(( input_dim, output_dim ), dtype=torch.float32)
+    initial = initial.requires_grad_(True)
+    return initial