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Formatting changes and distributed training
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@@ -21,7 +21,6 @@ class Tacotron(nn.Module):
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self.linear_dim = linear_dim
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self.embedding = nn.Embedding(
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num_chars, embedding_dim, padding_idx=padding_idx)
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print(" | > Number of characters : {}".format(num_chars))
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self.embedding.weight.data.normal_(0, 0.3)
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self.encoder = Encoder(embedding_dim)
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self.decoder = Decoder(256, mel_dim, r, memory_size, attn_windowing)
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