Fix TTS+TorchAudio tutorial

Workaround missing link by copy-n-pasting  direct link from
https://github.com/pytorch/audio/blob/0c5a8bf7c25c53ee14f48c33bc31e3390e6ae48e/examples/tutorials/tacotron2_pipeline_tutorial.py#L321

For more info see #2070

Author: malfet

intermediate_source/text_to_speech_with_torchaudio.py

@@ -297,8 +297,24 @@ def text_to_sequence(text):
 # publishe on Torch Hub. One can instantiate the model using ``torch.hub``
 # module.
 # 
+if False:
+  waveglow = torch.hub.load('NVIDIA/DeepLearningExamples:torchhub', 'nvidia_waveglow', model_math='fp32')
+else:
+  # Workaround to load model mapped on GPU
+  # https://stackoverflow.com/a/61840832
+  waveglow = torch.hub.load(
+      "NVIDIA/DeepLearningExamples:torchhub",
+      "nvidia_waveglow",
+      model_math="fp32",
+      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",
+      progress=False,
+      map_location=device,
+  )
+  state_dict = {key.replace("module.", ""): value for key, value in checkpoint["state_dict"].items()}
 
-waveglow = torch.hub.load('NVIDIA/DeepLearningExamples:torchhub', 'nvidia_waveglow', model_math='fp32')
 waveglow = waveglow.remove_weightnorm(waveglow)
 waveglow = waveglow.to(device)
 waveglow.eval()