diff --git a/aaa_helpers.txt b/aaa_helpers.txt
index 504566d..132a97e 100644
--- a/aaa_helpers.txt
+++ b/aaa_helpers.txt
@@ -8,7 +8,7 @@ nohup python auto_encoder_body.py --name="lhunor_body_iccv_1_skirt" > nohup/iccv
 nohup python auto_encoder_curv.py --name="lhunor_curv_iccv_1 " > nohup/iccv/encoders/curv_iccv_1.out 2>&1 &
 nohup python auto_encoder_curv.py --name="lhunor_curv_iccv_1_skirt" > nohup/iccv/encoders/curv_iccv_1_skirt.out 2>&1 &
 nohup python auto_encoder_curv.py --name="lhunor_curv_iccv_1_cape_f" > nohup/iccv/encoders/curv_iccv_1_cape_f.out 2>&1 &
-nohup python cvae.py --name="lhunor_cvae_iccv_gnn_3" > nohup/iccv/cvae_iccv_gnn_3.out 2>&1 &
+nohup python cvae.py --name="lhunor_cvae_iccv_gnn_5" > nohup/iccv/cvae_iccv_gnn_5.out 2>&1 &
 
 skirts!!!!
 pyramid next week
diff --git a/configs/iccv/config_abl_all.py b/configs/iccv/config_abl_all.py
index 5ca4ffd..ddef7c7 100644
--- a/configs/iccv/config_abl_all.py
+++ b/configs/iccv/config_abl_all.py
@@ -19,8 +19,8 @@ config['only_curvatures'] =           False
 ablation_count = [config['use_skinning'], config['remove_global_orientation'], config['use_curvature'], config['use_extra_losses'], config['use_offsets']].count(False)
 assert ablation_count == 1 or ablation_count == 0
 
-config['gpu'] = '6'
-config['name'] = 'iccv_gnn_4'
+config['gpu'] = '0'
+config['name'] = 'iccv_gnn_5'
 config['notes'] = ''
 config['tags'] = ['iccv', 'gnn']
 
diff --git a/models/gnn.py b/models/gnn.py
index 0e55b7b..7e72d47 100644
--- a/models/gnn.py
+++ b/models/gnn.py
@@ -18,7 +18,7 @@ class Smoother(tf.keras.Model):
         self.a = sp_matrix_to_sp_tensor(sio.loadmat("custom_utils/ssmpl0.mat")['L'].tocoo())
         self.conv1 = GCNConv(3, activation='tanh', use_bias=False)
         self.conv2 = GCNConv(3, activation='tanh', use_bias=False)
-        self.conv3 = GCNConv(3, activation='tanh', use_bias=False)
+        # self.conv3 = GCNConv(3, activation='tanh', use_bias=False)
         # self.conv4 = GCNConv(64, activation='tanh', use_bias=False)
         # self.conv5 = GCNConv(64, activation='tanh', use_bias=False)
         self.conv6 = GCNConv(3, activation='tanh', use_bias=False)
@@ -27,7 +27,7 @@ class Smoother(tf.keras.Model):
         x = inputs
         x = self.conv1([x, self.a], training=training)
         x = self.conv2([x, self.a], training=training)
-        x = self.conv3([x, self.a], training=training)
+        # x = self.conv3([x, self.a], training=training)
         # x = self.conv4([x, self.a], training=training)
         # x = self.conv5([x, self.a], training=training)
         x = self.conv6([x, self.a], training=training)