punc onnx

funasr/export/models/CT_Transformer.py

@@ -53,7 +53,7 @@ class CT_Transformer(nn.Module):
 
     def get_dummy_inputs(self):
         length = 120
-        text_indexes = torch.randint(0, self.embed.num_embeddings, (2, length))
+        text_indexes = torch.randint(0, self.embed.num_embeddings, (2, length)).type(torch.int32)
         text_lengths = torch.tensor([length-20, length], dtype=torch.int32)
         return (text_indexes, text_lengths)
 
@@ -130,7 +130,7 @@ class CT_Transformer_VadRealtime(nn.Module):
 
     def get_dummy_inputs(self):
         length = 120
-        text_indexes = torch.randint(0, self.embed.num_embeddings, (1, length))
+        text_indexes = torch.randint(0, self.embed.num_embeddings, (1, length)).type(torch.int32)
         text_lengths = torch.tensor([length], dtype=torch.int32)
         vad_mask = torch.ones(length, length, dtype=torch.float32)[None, None, :, :]
         sub_masks = torch.ones(length, length, dtype=torch.float32)