From c99f53eee9b402a6b4b99d223b9515839a60e4b2 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Stardust=C2=B7=E5=87=8F?= <2225664821@qq.com> Date: Sun, 20 Aug 2023 14:48:25 +0800 Subject: [PATCH] Update models.py --- models.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/models.py b/models.py index f4df9f0..a41f016 100644 --- a/models.py +++ b/models.py @@ -551,9 +551,9 @@ class SynthesizerTrn(nn.Module): self.enc_q = PosteriorEncoder(spec_channels, inter_channels, hidden_channels, 5, 1, 16, gin_channels=gin_channels) if use_transformer_flow: - self.flow = (inter_channels, hidden_channels, filter_channels, n_heads, n_layers_trans_flow, 5, p_dropout, n_flow_layer, gin_channels=gin_channels, share_parameter= flow_share_parameter) + self.flow = (inter_channels, hidden_channels, filter_channels, n_heads, n_layers_trans_flow, 5, p_dropout, n_flow_layer, gin_channels=gin_channels) else: - self.flow = ResidualCouplingBlock(inter_channels, hidden_channels, 5, 1, n_flow_layer, gin_channels=gin_channels, share_parameter= flow_share_parameter) + self.flow = ResidualCouplingBlock(inter_channels, hidden_channels, 5, 1, n_flow_layer, gin_channels=gin_channels) self.sdp = StochasticDurationPredictor(hidden_channels, 192, 3, 0.5, 4, gin_channels=gin_channels) self.dp = DurationPredictor(hidden_channels, 256, 3, 0.5, gin_channels=gin_channels)