OCD cosmetics.

[pysvrt.git] / cnn-svrt.py

diff --git a/cnn-svrt.py b/cnn-svrt.py
index 5913345..90b4c6d 100755 (executable)
--- a/cnn-svrt.py
+++ b/cnn-svrt.py
@@ -88,13 +88,16 @@ print(Fore.RED + 'Logging into ' + args.log_file + Style.RESET_ALL)
 
 def log_string(s):
     global pred_log_t
+
     t = time.time()
 
     if pred_log_t is None:
         elapsed = 'start'
     else:
         elapsed = '+{:.02f}s'.format(t - pred_log_t)
+
     pred_log_t = t
+
     s = Fore.BLUE + time.ctime() + ' ' + Fore.GREEN + elapsed + Style.RESET_ALL + ' ' + s
     log_file.write(s + '\n')
     log_file.flush()
@@ -146,6 +149,8 @@ def train_model(model, train_set):
 
     optimizer = optim.SGD(model.parameters(), lr = 1e-2)
 
+    start_t = time.time()
+
     for e in range(0, args.nb_epochs):
         acc_loss = 0.0
         for b in range(0, train_set.nb_batches):
@@ -157,6 +162,8 @@ def train_model(model, train_set):
             loss.backward()
             optimizer.step()
         log_string('train_loss {:d} {:f}'.format(e + 1, acc_loss))
+        dt = (time.time() - start_t) / (e + 1)
+        print(Fore.CYAN + 'ETA ' + time.ctime(time.time() + dt * (args.nb_epochs - e)) + Style.RESET_ALL)
 
     return model