Add test_sparse_multi_dgca()

tests/decagon_pytorch/test_convolve.py

@@ -124,4 +124,23 @@ def test_sparse_dropout_grap_conv_activation():
 
 
 def test_sparse_multi_dgca():
-    pass
+    latent_torch = None
+    latent_tf = []
+
+    for i in range(11):
+        keep_prob = i/10. + np.finfo(np.float32).eps
+
+        latent_torch = sparse_dropout_graph_conv_activation_torch(keep_prob) \
+            if latent_torch is None \
+            else latent_torch + sparse_dropout_graph_conv_activation_torch(keep_prob)
+
+        latent_tf.append(sparse_dropout_graph_conv_activation_tf(keep_prob))
+
+    latent_torch = torch.nn.functional.normalize(latent_torch, p=2, dim=1)
+    latent_tf = tf.add_n(latent_tf)
+    latent_tf = tf.nn.l2_normalize(latent_tf, dim=1)
+
+    latent_torch = latent_torch.detach().numpy()
+    latent_tf = latent_tf.eval(session = tf.Session())
+
+    assert np.all(latent_torch - latent_tf < .000001)