better debugging, add gpu info, fix ffmpeg bug with -y

voice_conversion/softvc/cli_inference.py

@@ -12,6 +12,7 @@ import sys
 import sys  
 import torch
 import torchaudio
+
 from collections import OrderedDict
 from time import time
 from torch.nn.modules.utils import consume_prefix_in_state_dict_if_present
@@ -27,8 +28,12 @@ sys.path.append("./hifigan/")
 from hifigan.generator import HifiganGenerator
 from hifigan.generator import consume_prefix_in_state_dict_if_present
 
+from gpu_utils import print_gpu_info
+
 # ===========================================
 
+print_gpu_info()
+
 parser = argparse.ArgumentParser()
 parser.add_argument('--acoustic_model_filename', type=str, required=True)
 parser.add_argument('--hifigan_model_filename', type=str, required=True)
@@ -129,6 +134,7 @@ def truncate_source_audio(audio_source_filename, output_filename, seconds):
     # Run ffmpeg's ffprobe
     command = [
         "ffmpeg",
+        "-y", # Force file overwrite
         "-i",  
         audio_source_filename,
         "-t", 
@@ -138,6 +144,7 @@ def truncate_source_audio(audio_source_filename, output_filename, seconds):
         output_filename,
     ]
 
+    print(f"Truncating source audio to {seconds} seconds", flush=True)
     pipe = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
     out, err = pipe.communicate()
 

voice_conversion/softvc/gpu_utils.py

@@ -0,0 +1,19 @@
+import sys
+import torch
+
+# TODO: De-duplicate this
+def print_gpu_info():
+    print('\n========================================')
+    print('Python interpreter', sys.executable)
+    print('PyTorch version', torch.__version__)
+    print('CUDA Available?', torch.cuda.is_available())
+    print('CUDA Device count', torch.cuda.device_count())
+    print('CUDA architectures library was compiled for', torch.cuda.get_arch_list())
+
+    #try:
+    #    from tensorflow.python.client import device_lib
+    #    print('local devices', str(device_lib.list_local_devices()).replace("\n", "\n  "))
+    #except ImportError:
+    #    print('no tensorflow - cannot list devices')
+    #    pass
+    print('========================================\n', flush=True)