Update synthesize.py

1) added Win10 pickle fix per issue CorentinJ#669 and blue-fish/Real-Time-Voice-Cloning@89a9964 (lines 12 and 70)
2) edited line 19 to delete "hparams" as argument; hparams_debug_string() needs 0 arguments. Allows vocoder_preprocess.py to run properly on WIn10/GPU (CUDA) systems)
3) edited line 87 to fix improper definition for mels_out per @blue-fish recommendation in issue#729 and issue CorentinJ#833; Allows vocoder_preprocess.py to run properly on WIn10/GPU (CUDA) systems)

synthesizer/synthesize.py

@@ -8,13 +8,15 @@
 import numpy as np
 from pathlib import Path
 from tqdm import tqdm
-
+#@tomcattwo added below line to fix Win10 pickle error per issue #669 and  blue-fish/Real-Time-Voice-Cloning@89a9964
+import platform
 
 def run_synthesis(in_dir, out_dir, model_dir, hparams):
     # This generates ground truth-aligned mels for vocoder training
     synth_dir = Path(out_dir).joinpath("mels_gta")
     synth_dir.mkdir(exist_ok=True)
-    print(hparams_debug_string(hparams))
+    #@tomcattwo edited below line to remove argument "hparams" from "hparams_debug_string(hparams)" to fix error when running vocoder_preprocess (issue #833)
+    print(hparams_debug_string())
 
     # Check for GPU
     if torch.cuda.is_available():
@@ -60,11 +62,12 @@ def run_synthesis(in_dir, out_dir, model_dir, hparams):
     mel_dir = in_dir.joinpath("mels")
     embed_dir = in_dir.joinpath("embeds")
 
+    #@tomcattwo edited line 67 to add "hparams" positional argument per issue #833 and line 69 to fix Win10 pickle issue per issue#669 and blue-fish/Real-Time-Voice-Cloning@89a9964
     dataset = SynthesizerDataset(metadata_fpath, mel_dir, embed_dir, hparams)
     data_loader = DataLoader(dataset,
-                             collate_fn=lambda batch: collate_synthesizer(batch, r),
+                             collate_fn=lambda batch: collate_synthesizer(batch, r, hparams),
                              batch_size=hparams.synthesis_batch_size,
-                             num_workers=2,
+                             num_workers=2 if platform.system() != "Windows" else 0,
                              shuffle=False,
                              pin_memory=True)
 
@@ -77,11 +80,12 @@ def run_synthesis(in_dir, out_dir, model_dir, hparams):
             embeds = embeds.to(device)
 
             # Parallelize model onto GPUS using workaround due to python bug
+            #@tomcattwo edited line 86 per @blue-fish recommendation in issue #833 to allow vocoder_preprocess.py to run properly
             if device.type == "cuda" and torch.cuda.device_count() > 1:
                 _, mels_out, _ = data_parallel_workaround(model, texts, mels, embeds)
             else:
-                _, mels_out, _ = model(texts, mels, embeds)
-
+                _, mels_out, _, _ = model(texts, mels, embeds)
+    
             for j, k in enumerate(idx):
                 # Note: outputs mel-spectrogram files and target ones have same names, just different folders
                 mel_filename = Path(synth_dir).joinpath(dataset.metadata[k][1])