bug fix in concatenation for Fusion mode

ptp/components/models/vqa/attention.py

@@ -151,7 +151,7 @@ def forward(self, data_dict):
             outputs = attention_enc_img
         elif(self.output_mode == 'Fusion'):
             # Fusion -- Concatenate attention-weighted image encodings and question encodings.
-            outputs = torch.cat([attention_enc_img, latent_q], dim=1)
+            outputs = torch.cat([attention_enc_img, enc_q], dim=1)
         # print("outputs", outputs.shape)
         # Add predictions to datadict.
         data_dict.extend({self.key_outputs: outputs})