update melgan training test batch size

TTS/speaker_encoder/losses.py

@@ -23,7 +23,7 @@ class GE2ELoss(nn.Module):
         self.b = nn.Parameter(torch.tensor(init_b))
         self.loss_method = loss_method
 
-        print(" > Initialised Generalized End-to-End loss")
+        print(" > Initialized Generalized End-to-End loss")
 
         assert self.loss_method in ["softmax", "contrast"]
 
@@ -136,7 +136,7 @@ class AngleProtoLoss(nn.Module):
         self.b = nn.Parameter(torch.tensor(init_b))
         self.criterion = torch.nn.CrossEntropyLoss()
 
-        print(" > Initialised Angular Prototypical loss")
+        print(" > Initialized Angular Prototypical loss")
 
     def forward(self, x):
         """

tests/vocoder_tests/test_melgan_train.py

@@ -9,14 +9,14 @@ config_path = os.path.join(get_tests_output_path(), "test_vocoder_config.json")
 output_path = os.path.join(get_tests_output_path(), "train_outputs")
 
 config = MelganConfig(
-    batch_size=8,
-    eval_batch_size=8,
+    batch_size=4,
+    eval_batch_size=4,
     num_loader_workers=0,
     num_val_loader_workers=0,
     run_eval=True,
     test_delay_epochs=-1,
     epochs=1,
-    seq_len=8192,
+    seq_len=2048,
     eval_split_size=1,
     print_step=1,
     print_eval=True,