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commons.py

@@ -46,26 +46,18 @@ def rand_gumbel_like(x):
 
 
 def slice_segments(x, ids_str, segment_size=4):
-    ret = torch.zeros_like(x[:, :, :segment_size])
-    for i in range(x.size(0)):
-        idx_str = ids_str[i]
-        idx_end = idx_str + segment_size
-        if idx_str < 0:
-            i1 = x.size(2) + idx_str
-            r1 = x[i, :, i1:]
-            r2 = x[i, :, :idx_end]
-            ret[i] = torch.cat([r1, r2], dim=1)
-        else:
-            ret[i] = x[i, :, idx_str:idx_end]
-    return ret
+    gather_indices = ids_str.view(x.size(0), 1, 1).repeat(
+        1, x.size(1), 1
+    ) + torch.arange(segment_size, device=x.device)
+    return torch.gather(x, 2, gather_indices)
 
 
 def rand_slice_segments(x, x_lengths=None, segment_size=4):
     b, d, t = x.size()
     if x_lengths is None:
         x_lengths = t
-    ids_str_max = x_lengths - segment_size + 1
-    ids_str = (torch.rand([b]).to(device=x.device) * ids_str_max).to(dtype=torch.long)
+    ids_str_max = torch.clamp(x_lengths - segment_size + 1, min=0)
+    ids_str = (torch.rand([b], device=x.device) * ids_str_max).to(dtype=torch.long)
     ret = slice_segments(x, ids_str, segment_size)
     return ret, ids_str