make conformer able to do things autoregressively, to save issues wit…

…h variable lengths in soundstorm

conformer/conformer.py

@@ -149,7 +149,8 @@ def __init__(
         causal = False,
         expansion_factor = 2,
         kernel_size = 31,
-        dropout = 0.):
+        dropout = 0.
+    ):
         super().__init__()
 
         inner_dim = dim * expansion_factor
@@ -185,12 +186,13 @@ def __init__(
         conv_kernel_size = 31,
         attn_dropout = 0.,
         ff_dropout = 0.,
-        conv_dropout = 0.
+        conv_dropout = 0.,
+        conv_causal = False
     ):
         super().__init__()
         self.ff1 = FeedForward(dim = dim, mult = ff_mult, dropout = ff_dropout)
         self.attn = Attention(dim = dim, dim_head = dim_head, heads = heads, dropout = attn_dropout)
-        self.conv = ConformerConvModule(dim = dim, causal = False, expansion_factor = conv_expansion_factor, kernel_size = conv_kernel_size, dropout = conv_dropout)
+        self.conv = ConformerConvModule(dim = dim, causal = conv_causal, expansion_factor = conv_expansion_factor, kernel_size = conv_kernel_size, dropout = conv_dropout)
         self.ff2 = FeedForward(dim = dim, mult = ff_mult, dropout = ff_dropout)
 
         self.attn = PreNorm(dim, self.attn)
@@ -222,7 +224,8 @@ def __init__(
         conv_kernel_size = 31,
         attn_dropout = 0.,
         ff_dropout = 0.,
-        conv_dropout = 0.
+        conv_dropout = 0.,
+        conv_causal = False
     ):
         super().__init__()
         self.dim = dim
@@ -236,6 +239,7 @@ def __init__(
                 ff_mult = ff_mult,
                 conv_expansion_factor = conv_expansion_factor,
                 conv_kernel_size = conv_kernel_size,
+                conv_causal = conv_causal
 
             ))
 

setup.py

@@ -3,7 +3,7 @@
 setup(
   name = 'conformer',
   packages = find_packages(),
-  version = '0.3.1',
+  version = '0.3.2',
   license='MIT',
   description = 'The convolutional module from the Conformer paper',
   author = 'Phil Wang',