minor fixes for wavent and modules
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@ -313,6 +313,7 @@ class WaveNet(dg.Layer):
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"""
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# Causal Conv
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if self.loss_type == "softmax":
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x = F.clip(x, min=-1., max=0.99999)
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x = quantize(x, self.output_dim)
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x = self.embed(x) # (B, T, C), T=1
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else:
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@ -86,7 +86,7 @@ class Conv1D(dg.Conv2D):
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stride=1,
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padding=0,
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dilation=1,
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groups=None,
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groups=1,
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param_attr=None,
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bias_attr=None,
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use_cudnn=True,
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@ -128,7 +128,7 @@ class Conv1DTranspose(dg.Conv2DTranspose):
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padding=0,
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stride=1,
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dilation=1,
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groups=None,
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groups=1,
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param_attr=None,
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bias_attr=None,
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use_cudnn=True,
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@ -179,7 +179,7 @@ class Conv1DCell(Conv1D):
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filter_size,
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dilation=1,
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causal=False,
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groups=None,
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groups=1,
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param_attr=None,
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bias_attr=None,
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use_cudnn=True,
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@ -160,7 +160,7 @@ def Conv1D(num_channels,
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stride=1,
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padding=0,
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dilation=1,
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groups=None,
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groups=1,
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param_attr=None,
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bias_attr=None,
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use_cudnn=True,
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@ -179,7 +179,7 @@ def Conv1DTranspose(num_channels,
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padding=0,
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stride=1,
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dilation=1,
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groups=None,
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groups=1,
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param_attr=None,
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bias_attr=None,
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use_cudnn=True,
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@ -197,7 +197,7 @@ def Conv1DCell(num_channels,
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filter_size,
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dilation=1,
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causal=False,
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groups=None,
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groups=1,
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param_attr=None,
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bias_attr=None,
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use_cudnn=True,
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@ -216,7 +216,7 @@ def Conv2D(num_channels,
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stride=1,
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padding=0,
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dilation=1,
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groups=None,
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groups=1,
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param_attr=None,
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bias_attr=None,
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use_cudnn=True,
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@ -237,7 +237,7 @@ def Conv2DTranspose(num_channels,
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padding=0,
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stride=1,
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dilation=1,
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groups=None,
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groups=1,
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param_attr=None,
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bias_attr=None,
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use_cudnn=True,
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