funasr/models/encoder/rnn_encoder.py
@@ -46,12 +46,12 @@ raise ValueError(f"Not supported rnn_type={rnn_type}") if subsample is None: subsample = np.ones(num_layers + 1, dtype=np.int) subsample = np.ones(num_layers + 1, dtype=np.int32) else: subsample = subsample[:num_layers] # Append 1 at the beginning because the second or later is used subsample = np.pad( np.array(subsample, dtype=np.int), np.array(subsample, dtype=np.int32), [1, num_layers - len(subsample)], mode="constant", constant_values=1,
