/nix/store/s5pbkf5arykcwpvqhzn9afpglf736kg9-python3.7-librosa-0.7.2/lib/python3.7/site-packages/librosa/util/decorators.py:9: NumbaDeprecationWarning: An import was requested from a module that has moved location.
Import requested from: 'numba.decorators', please update to use 'numba.core.decorators' or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.
  from numba.decorators import jit as optional_jit
/nix/store/s5pbkf5arykcwpvqhzn9afpglf736kg9-python3.7-librosa-0.7.2/lib/python3.7/site-packages/librosa/util/decorators.py:9: NumbaDeprecationWarning: An import was requested from a module that has moved location.
Import of 'jit' requested from: 'numba.decorators', please update to use 'numba.core.decorators' or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.
  from numba.decorators import jit as optional_jit
Traceback (most recent call last):
  File "/nix/store/fd1sxw5gdfmkil6n0hy1af699cyjff92-python3.7-tts-unstable-2020-06-06/bin/.tts-server-wrapped", line 6, in <module>
    from TTS.server.server.__main__ import main
  File "/nix/store/fd1sxw5gdfmkil6n0hy1af699cyjff92-python3.7-tts-unstable-2020-06-06/lib/python3.7/site-packages/TTS/server/server.py", line 62, in <module>
    synthesizer = Synthesizer(args)
  File "/nix/store/fd1sxw5gdfmkil6n0hy1af699cyjff92-python3.7-tts-unstable-2020-06-06/lib/python3.7/site-packages/TTS/server/synthesizer.py", line 36, in __init__
    self.config.use_cuda)
  File "/nix/store/fd1sxw5gdfmkil6n0hy1af699cyjff92-python3.7-tts-unstable-2020-06-06/lib/python3.7/site-packages/TTS/server/synthesizer.py", line 73, in load_tts
    self.tts_model.load_state_dict(cp['model'])
  File "/nix/store/nr2p2w6mrs8rqnj43ngzw3jq5gixsjai-python3.7-pytorch-1.5.0/lib/python3.7/site-packages/torch/nn/modules/module.py", line 847, in load_state_dict
    self.__class__.__name__, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for Tacotron2:
	Missing key(s) in state_dict: "encoder.convolutions.0.convolution1d.weight", "encoder.convolutions.0.convolution1d.bias", "encoder.convolutions.0.batch_normalization.weight", "encoder.convolutions.0.batch_normalization.bias", "encoder.convolutions.0.batch_normalization.running_mean", "encoder.convolutions.0.batch_normalization.running_var", "encoder.convolutions.1.convolution1d.weight", "encoder.convolutions.1.convolution1d.bias", "encoder.convolutions.1.batch_normalization.weight", "encoder.convolutions.1.batch_normalization.bias", "encoder.convolutions.1.batch_normalization.running_mean", "encoder.convolutions.1.batch_normalization.running_var", "encoder.convolutions.2.convolution1d.weight", "encoder.convolutions.2.convolution1d.bias", "encoder.convolutions.2.batch_normalization.weight", "encoder.convolutions.2.batch_normalization.bias", "encoder.convolutions.2.batch_normalization.running_mean", "encoder.convolutions.2.batch_normalization.running_var", "decoder.prenet.linear_layers.0.linear_layer.weight", "decoder.prenet.linear_layers.0.batch_normalization.weight", "decoder.prenet.linear_layers.0.batch_normalization.bias", "decoder.prenet.linear_layers.0.batch_normalization.running_mean", "decoder.prenet.linear_layers.0.batch_normalization.running_var", "decoder.prenet.linear_layers.1.linear_layer.weight", "decoder.prenet.linear_layers.1.batch_normalization.weight", "decoder.prenet.linear_layers.1.batch_normalization.bias", "decoder.prenet.linear_layers.1.batch_normalization.running_mean", "decoder.prenet.linear_layers.1.batch_normalization.running_var", "decoder.attention.location_layer.location_conv1d.weight", "postnet.convolutions.0.convolution1d.weight", "postnet.convolutions.0.convolution1d.bias", "postnet.convolutions.0.batch_normalization.weight", "postnet.convolutions.0.batch_normalization.bias", "postnet.convolutions.0.batch_normalization.running_mean", "postnet.convolutions.0.batch_normalization.running_var", "postnet.convolutions.1.convolution1d.weight", "postnet.convolutions.1.convolution1d.bias", "postnet.convolutions.1.batch_normalization.weight", "postnet.convolutions.1.batch_normalization.bias", "postnet.convolutions.1.batch_normalization.running_mean", "postnet.convolutions.1.batch_normalization.running_var", "postnet.convolutions.2.convolution1d.weight", "postnet.convolutions.2.convolution1d.bias", "postnet.convolutions.2.batch_normalization.weight", "postnet.convolutions.2.batch_normalization.bias", "postnet.convolutions.2.batch_normalization.running_mean", "postnet.convolutions.2.batch_normalization.running_var", "postnet.convolutions.3.convolution1d.weight", "postnet.convolutions.3.convolution1d.bias", "postnet.convolutions.3.batch_normalization.weight", "postnet.convolutions.3.batch_normalization.bias", "postnet.convolutions.3.batch_normalization.running_mean", "postnet.convolutions.3.batch_normalization.running_var", "postnet.convolutions.4.convolution1d.weight", "postnet.convolutions.4.convolution1d.bias", "postnet.convolutions.4.batch_normalization.weight", "postnet.convolutions.4.batch_normalization.bias", "postnet.convolutions.4.batch_normalization.running_mean", "postnet.convolutions.4.batch_normalization.running_var". 
	Unexpected key(s) in state_dict: "encoder.convolutions.0.net.0.weight", "encoder.convolutions.0.net.0.bias", "encoder.convolutions.0.net.1.weight", "encoder.convolutions.0.net.1.bias", "encoder.convolutions.0.net.1.running_mean", "encoder.convolutions.0.net.1.running_var", "encoder.convolutions.0.net.1.num_batches_tracked", "encoder.convolutions.1.net.0.weight", "encoder.convolutions.1.net.0.bias", "encoder.convolutions.1.net.1.weight", "encoder.convolutions.1.net.1.bias", "encoder.convolutions.1.net.1.running_mean", "encoder.convolutions.1.net.1.running_var", "encoder.convolutions.1.net.1.num_batches_tracked", "encoder.convolutions.2.net.0.weight", "encoder.convolutions.2.net.0.bias", "encoder.convolutions.2.net.1.weight", "encoder.convolutions.2.net.1.bias", "encoder.convolutions.2.net.1.running_mean", "encoder.convolutions.2.net.1.running_var", "encoder.convolutions.2.net.1.num_batches_tracked", "decoder.prenet.layers.0.linear_layer.weight", "decoder.prenet.layers.0.bn.weight", "decoder.prenet.layers.0.bn.bias", "decoder.prenet.layers.0.bn.running_mean", "decoder.prenet.layers.0.bn.running_var", "decoder.prenet.layers.0.bn.num_batches_tracked", "decoder.prenet.layers.1.linear_layer.weight", "decoder.prenet.layers.1.bn.weight", "decoder.prenet.layers.1.bn.bias", "decoder.prenet.layers.1.bn.running_mean", "decoder.prenet.layers.1.bn.running_var", "decoder.prenet.layers.1.bn.num_batches_tracked", "decoder.attention.location_layer.location_conv.weight", "postnet.convolutions.0.net.0.weight", "postnet.convolutions.0.net.0.bias", "postnet.convolutions.0.net.1.weight", "postnet.convolutions.0.net.1.bias", "postnet.convolutions.0.net.1.running_mean", "postnet.convolutions.0.net.1.running_var", "postnet.convolutions.0.net.1.num_batches_tracked", "postnet.convolutions.1.net.0.weight", "postnet.convolutions.1.net.0.bias", "postnet.convolutions.1.net.1.weight", "postnet.convolutions.1.net.1.bias", "postnet.convolutions.1.net.1.running_mean", "postnet.convolutions.1.net.1.running_var", "postnet.convolutions.1.net.1.num_batches_tracked", "postnet.convolutions.2.net.0.weight", "postnet.convolutions.2.net.0.bias", "postnet.convolutions.2.net.1.weight", "postnet.convolutions.2.net.1.bias", "postnet.convolutions.2.net.1.running_mean", "postnet.convolutions.2.net.1.running_var", "postnet.convolutions.2.net.1.num_batches_tracked", "postnet.convolutions.3.net.0.weight", "postnet.convolutions.3.net.0.bias", "postnet.convolutions.3.net.1.weight", "postnet.convolutions.3.net.1.bias", "postnet.convolutions.3.net.1.running_mean", "postnet.convolutions.3.net.1.running_var", "postnet.convolutions.3.net.1.num_batches_tracked", "postnet.convolutions.4.net.0.weight", "postnet.convolutions.4.net.0.bias", "postnet.convolutions.4.net.1.weight", "postnet.convolutions.4.net.1.bias", "postnet.convolutions.4.net.1.running_mean", "postnet.convolutions.4.net.1.running_var", "postnet.convolutions.4.net.1.num_batches_tracked".