Error in converting tensorflow model hdf5 to onnx format

[smarimariem]

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System information

• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Windows on jupyter notebook
• TensorFlow version: 2.6.0
• Python version: 3.8

Describe the problem I didn't reach to convert my hdf5 model to onnx format with tf2onnx.convert. But, i tested the second method Provide the exact sequence of commands / steps that you executed before running into the problem tf2onnx error with the command: python -m tf2onnx.convert --saved-model saved_model --inputs input_1:0 --outputs gaze_output:0 --output mobilenet.onnx To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 2021-11-08 17:01:09,696 - WARNING - '--tag' not specified for saved_model. Using --tag serve Traceback (most recent call last): File "D:\MyPrograms\anaconda3\envs\GazeEnv\lib\runpy.py", line 193, in _run_module_as_main "main", mod_spec) File "D:\MyPrograms\anaconda3\envs\GazeEnv\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "D:\MyPrograms\anaconda3\envs\GazeEnv\lib\site-packages\tf2onnx\convert.py", line 617, in main() File "D:\MyPrograms\anaconda3\envs\GazeEnv\lib\site-packages\tf2onnx\convert.py", line 228, in main use_graph_names=args.use_graph_names) File "D:\MyPrograms\anaconda3\envs\GazeEnv\lib\site-packages\tf2onnx\tf_loader.py", line 612, in from_saved_model tag, signatures, concrete_function, large_model, use_graph_names) File "D:\MyPrograms\anaconda3\envs\GazeEnv\lib\site-packages\tf2onnx\tf_loader.py", line 549, in _from_saved_model_v2 imported = tf.saved_model.load(model_path, tags=tag) # pylint: disable=no-value-for-parameter File "D:\MyPrograms\anaconda3\envs\GazeEnv\lib\site-packages\tensorflow\python\saved_model\load.py", line 864, in load result = load_internal(export_dir, tags, options)["root"] File "D:\MyPrograms\anaconda3\envs\GazeEnv\lib\site-packages\tensorflow\python\saved_model\load.py", line 903, in load_internal ckpt_options, options, filters) File "D:\MyPrograms\anaconda3\envs\GazeEnv\lib\site-packages\tensorflow\python\saved_model\load.py", line 162, in init self._load_all() File "D:\MyPrograms\anaconda3\envs\GazeEnv\lib\site-packages\tensorflow\python\saved_model\load.py", line 259, in _load_all self._load_nodes() File "D:\MyPrograms\anaconda3\envs\GazeEnv\lib\site-packages\tensorflow\python\saved_model\load.py", line 448, in _load_nodes slot_variable = optimizer_object.add_slot( AttributeError: '_UserObject' object has no attribute 'add_slot'

SECOND method: loaded_model = tensorflow.keras.models.load_model('my_eye_tracking_model.h5') onnx_model = tf2onnx.convert.from_keras(loaded_model) WARNING:tensorflow:From D:\MyPrograms\anaconda3\envs\GazeEnv\lib\site-packages\tf2onnx\tf_loader.py:703: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version. Instructions for updating: Use tf.compat.v1.graph_util.extract_sub_graph

But the onnx_model has the architecture with input and output

import onnx onnx.save_model(onnx_model, "test.onnx")

Any other info / logs Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.

[sachinprasadhs]

Hi, could you please try the solution suggested in this link and let us know if this helps. Thanks!

[smarimariem]

Hi, could you please try the solution suggested in this link and let us know if this helps. Thanks!

I 've try this :

It can be used to reconstruct the model identically.

model = keras.models.load_model("my_h5_model.h5") tf.saved_model.save(model, "tmp_model") == It works , but the next instruction didn't work and i 've got the same error python3 -m tf2onnx.convert --saved-model tmp_model --output "model.onnx"

The error: slot_variable = optimizer_object.add_slot( AttributeError: '_UserObject' object has no attribute 'add_slot'

[Cortlandd]

I'm running into this same issue. Attempting to convert model to onnx.

AttributeError: '_UserObject' object has no attribute 'add_slot'

[joshua-xia]

I willing to investigate this issue.

[SuryanarayanaY]

Hi @smarimariem ,

I am not sure this issue is related to Tensorflow. Since you are using tf2onxx library which is not related to TF and we are not maintaining tf2onxx.

If you feel this is a bug in Tensorflow, please submit a code snippet that can reproduce similar error related to tensorflow without external libraries involved and we will happily look into the issue.

Thanks!

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