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model_onnx.py

@@ -76,8 +76,8 @@ class IndicASRModel(PreTrainedModel):
         joint_enc = torch.from_numpy(joint_enc)
         # Initialize hypothesis with SOS token
         hyp = [self.config.SOS]
-        prev_dec_state = (np.zeros((self.PRED_RNN_LAYERS, 1, self.PRED_RNN_HIDDEN_DIM), dtype=np.float32),
-                          np.zeros((self.PRED_RNN_LAYERS, 1, self.PRED_RNN_HIDDEN_DIM), dtype=np.float32))
+        prev_dec_state = (np.zeros((self.config.PRED_RNN_LAYERS, 1, self.config.PRED_RNN_HIDDEN_DIM), dtype=np.float32),
+                          np.zeros((self.config.PRED_RNN_LAYERS, 1, self.PRED_RNN_HIDDEN_DIM), dtype=np.float32))
         
         # Iterate over time steps (T)
         for t in range(joint_enc.size(1)):