this works

tacotron_melgan/src/server.rs

@@ -97,7 +97,7 @@ pub fn run_server() {
       .mount("/pub", StaticFiles::new("/www/public", options).rank(-1))*/
 
   //let tacotron = "/home/bt/dev/voder/tacotron_melgan/tacotron_jit_model_voder_c0cac635.pt";
-  let tacotron = "/home/bt/dev/voder/tacotron_melgan/tacotron_container2.pt";
+  let tacotron = "/home/bt/dev/voder/tacotron_melgan/tacotron_container3.pt";
   //let melgan = "/home/bt/dev/voder/tacotron_melgan/melgan_jit_model_voder_c0cac635.pt";
   let melgan = "/home/bt/dev/voder/tacotron_melgan/melgan_container2.pt";
   let melgan = "/home/bt/dev/tacotron-melgan/shared_melgan_container.pt";

tacotron_melgan/tacotron_model.py

@@ -601,4 +601,4 @@ class Tacotron2(nn.Module):
             ])
 
         #return outputs
-        return outputs[0]
+        return outputs[0].float()

tacotron_melgan/wrap_tacotron2_model.py

@@ -11,7 +11,7 @@ from math import sqrt
 
 from tacotron_model import Tacotron2
 
-torch.set_default_tensor_type('torch.DoubleTensor')
+#torch.set_default_tensor_type('torch.DoubleTensor')
 #torch.set_default_tensor_type('torch.FloatTensor')
 
 print('Loading tacotron model...')
@@ -77,7 +77,7 @@ print('Load state dict...')
 module.load_state_dict(tacotron_model['state_dict'])
 #module.eval() # NB: Complains unless called: Did you forget call .eval() on your model?
 
-output_filename = 'tacotron_container2.pt'
+output_filename = 'tacotron_container3.pt'
 
 # NB: Tracing evaluates the model on input and unrolls and hardcodes branching
 # and loops. Scripting allows these to remain by converting the entire program