update torch version and solve compat issue with isinf

requirements.txt

@@ -1,5 +1,5 @@
 numpy>=1.16.0
-torch>=0.4.1
+torch>=1.5
 librosa>=0.5.1
 Unidecode>=0.4.20
 tensorboard

setup.py

@@ -92,7 +92,7 @@ setup(
     },
     install_requires=[
         "scipy>=0.19.0",
-        "torch>=0.4.1",
+        "torch>=1.5",
         "numpy>=1.16.0",
         "librosa==0.6.2",
         "unidecode==0.4.20",

utils/training.py

@@ -9,9 +9,15 @@ def check_update(model, grad_clip, ignore_stopnet=False):
         grad_norm = torch.nn.utils.clip_grad_norm_([param for name, param in model.named_parameters() if 'stopnet' not in name], grad_clip)
     else:
         grad_norm = torch.nn.utils.clip_grad_norm_(model.parameters(), grad_clip)
-    if torch.isinf(grad_norm):
+    # compatibility with different torch versions
-        print(" | > Gradient is INF !!")
+    if isinstance(grad_norm, float):
-        skip_flag = True
+        if np.isinf(grad_norm):
+            print(" | > Gradient is INF !!")
+            skip_flag = True
+    else:
+        if torch.isinf(grad_norm):
+            print(" | > Gradient is INF !!")
+            skip_flag = True
     return grad_norm, skip_flag