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AttributeError                            Traceback (most recent call last)
Cell In[18], line 7
      4 print(X_test[i].shape[1])
      6 input_signature = [tf.TensorSpec([1, 128, 259, 1], tf.float32, name='input')]
----> 7 onnx_model, _ = tf2onnx.convert.from_keras(model,input_signature,opset=13)
      8 onnx.save(onnx_model,"converted_model.onnx")

File /opt/conda/lib/python3.10/site-packages/tf2onnx/convert.py:442, in from_keras(model, input_signature, opset, custom_ops, custom_op_handlers, custom_rewriter, inputs_as_nchw, outputs_as_nchw, extra_opset, shape_override, target, large_model, output_path, optimizers)
    438 if get_tf_version() < Version("2.0"):
    439     return _from_keras_tf1(model, opset, custom_ops, custom_op_handlers, custom_rewriter, inputs_as_nchw,
    440                            outputs_as_nchw, extra_opset, shape_override, target, large_model, output_path)
--> 442 old_out_names = _rename_duplicate_keras_model_names(model)
    443 from tensorflow.python.keras.saving import saving_utils as _saving_utils # pylint: disable=import-outside-toplevel
    445 # let tensorflow do the checking if model is a valid model

File /opt/conda/lib/python3.10/site-packages/tf2onnx/convert.py:331, in _rename_duplicate_keras_model_names(model)
    325 """
    326 In very rare cases, keras has a bug where it will give multiple outputs the same name.
    327 We must edit the model or the TF trace will fail. Returns old_out_names (or None if no edit was made).
    328 IMPORTANT: model may be edited. Assign model.output_names to old_out_names to restore.
    329 """
    330 old_out_names = None
--> 331 if model.output_names and len(set(model.output_names)) != len(model.output_names):
    332     # In very rare cases, keras has a bug where it will give multiple outputs the same name
    333     # We must edit the model or the TF trace will fail
    334     old_out_names = model.output_names
    335     used_names = set()

AttributeError: 'Sequential' object has no attribute 'output_names'