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Updating WaveGlow checkpoint to latest #2080

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Merged
merged 3 commits into from
Oct 12, 2022
Merged

Updating WaveGlow checkpoint to latest #2080

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8e8117b
Updating WaveGlow checkpoint to latest
malfet Oct 12, 2022
415d384
Update text_to_speech_with_torchaudio.py
malfet Oct 12, 2022
2bb143f
Update text_to_speech_with_torchaudio.py
malfet Oct 12, 2022
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8 changes: 4 additions & 4 deletions intermediate_source/text_to_speech_with_torchaudio.py
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Original file line number Diff line number Diff line change
Expand Up @@ -293,11 +293,11 @@ def text_to_sequence(text):
# Waveglow
# ~~~~~~~~
#
# Waveglow is a vocoder published by Nvidia. The pretrained weight is
# publishe on Torch Hub. One can instantiate the model using ``torch.hub``
# Waveglow is a vocoder published by Nvidia. The pretrained weights are
# published on Torch Hub. One can instantiate the model using ``torch.hub``
# module.
#
if False:
if torch.cuda.is_available():
waveglow = torch.hub.load('NVIDIA/DeepLearningExamples:torchhub', 'nvidia_waveglow', model_math='fp32')
else:
# Workaround to load model mapped on GPU
Expand All @@ -309,7 +309,7 @@ def text_to_sequence(text):
pretrained=False,
)
checkpoint = torch.hub.load_state_dict_from_url(
"https://api.ngc.nvidia.com/v2/models/nvidia/waveglowpyt_fp32/versions/1/files/nvidia_waveglowpyt_fp32_20190306.pth",
"https://api.ngc.nvidia.com/v2/models/nvidia/waveglow_ckpt_fp32/versions/19.09.0/files/nvidia_waveglowpyt_fp32_20190427",
progress=False,
map_location=device,
)
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