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load the model on CPU because torch doesn't like loading models directly to GPU (it just follows the default vocoder loading behavior)

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mrq 2023-03-03 13:53:21 +00:00
parent 2ba0e056cd
commit 06bdf72b89
1 changed files with 2 additions and 10 deletions
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tortoise/api.py
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@ -236,13 +236,6 @@ def classify_audio_clip(clip):
results = F.softmax(classifier(clip), dim=-1) results = F.softmax(classifier(clip), dim=-1)
return results[0][0] return results[0][0]
def load_checkpoint(filepath, device):
assert os.path.isfile(filepath)
print("Loading '{}'".format(filepath))
checkpoint_dict = torch.load(filepath, map_location=device)
print("Complete.")
return checkpoint_dict
class TextToSpeech: class TextToSpeech:
""" """
Main entry point into Tortoise. Main entry point into Tortoise.
@ -312,10 +305,9 @@ class TextToSpeech:
self.cvvp = None # CVVP model is only loaded if used. self.cvvp = None # CVVP model is only loaded if used.
if use_bigvgan: if use_bigvgan:
# credit https://github.com/deviandiceto / https://git.ecker.tech/mrq/ai-voice-cloning/issues/52 # credit to https://github.com/deviandice / https://git.ecker.tech/mrq/ai-voice-cloning/issues/52
self.vocoder = BigVGAN().cpu() self.vocoder = BigVGAN().cpu()
state_dict_bigvgan = load_checkpoint(get_model_path('bigvgan_base_24khz_100band.pth', models_dir), self.device) self.vocoder.load_state_dict(torch.load(get_model_path('bigvgan_base_24khz_100band.pth', models_dir), map_location=torch.device('cpu'))['generator'])
self.vocoder.load_state_dict(state_dict_bigvgan['generator'])
else: else:
self.vocoder = UnivNetGenerator().cpu() self.vocoder = UnivNetGenerator().cpu()
self.vocoder.load_state_dict(torch.load(get_model_path('vocoder.pth', models_dir), map_location=torch.device('cpu'))['model_g']) self.vocoder.load_state_dict(torch.load(get_model_path('vocoder.pth', models_dir), map_location=torch.device('cpu'))['model_g'])