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@ -149,8 +149,7 @@ class TacotronAbstract(ABC, nn.Module):
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def _backward_pass(self, mel_specs, encoder_outputs, mask):
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""" Run backwards decoder """
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decoder_outputs_b, alignments_b, _ = self.decoder_backward(
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encoder_outputs, torch.flip(mel_specs, dims=(1,)), mask,
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self.speaker_embeddings_projected)
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encoder_outputs, torch.flip(mel_specs, dims=(1,)), mask)
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decoder_outputs_b = decoder_outputs_b.transpose(1, 2).contiguous()
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return decoder_outputs_b, alignments_b
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@ -2,6 +2,7 @@
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set -xe
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BASEDIR=$(dirname "$0")
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echo "$BASEDIR"
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# run training
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CUDA_VISIBLE_DEVICES="" python TTS/bin/train_tacotron.py --config_path $BASEDIR/inputs/test_tacotron_config.json
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# find the training folder
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@ -12,6 +13,16 @@ CUDA_VISIBLE_DEVICES="" python TTS/bin/train_tacotron.py --continue_path $BASED
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# remove all the outputs
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rm -rf $BASEDIR/train_outputs/
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# run Tacotron bi-directional decoder
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CUDA_VISIBLE_DEVICES="" python TTS/bin/train_tacotron.py --config_path $BASEDIR/inputs/test_tacotron_bd_config.json
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# find the training folder
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LATEST_FOLDER=$(ls $BASEDIR/train_outputs/| sort | tail -1)
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echo $LATEST_FOLDER
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# continue the previous training
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CUDA_VISIBLE_DEVICES="" python TTS/bin/train_tacotron.py --continue_path $BASEDIR/train_outputs/$LATEST_FOLDER
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# remove all the outputs
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rm -rf $BASEDIR/train_outputs/
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# Tacotron2
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# run training
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CUDA_VISIBLE_DEVICES="" python TTS/bin/train_tacotron.py --config_path $BASEDIR/inputs/test_tacotron2_config.json
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