Tensorflow Error

Graph execution error. I trained the models in mac m1 with tensorflow 2.6… Tried to install tensorflow-cpu, tensorflow 2.6 and more. the project run on my device well.

these are the errors

2022-11-24 15:30:27.414869: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA


To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.


2022-11-24 15:30:27.571023: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library ‘libcudart.so.11.0’; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory


2022-11-24 15:30:27.571061: I tensorflow/compiler/xla/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.


2022-11-24 15:30:28.444108: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library ‘libnvinfer.so.7’; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory


2022-11-24 15:30:28.444243: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library ‘libnvinfer_plugin.so.7’; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory


2022-11-24 15:30:28.444254: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.

2022-11-24 15:35:03.961336: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2022-11-24 15:35:12.807 Uncaught app exception
Traceback (most recent call last):
  File "/home/appuser/venv/lib/python3.9/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 560, in _run_script
    self._session_state.on_script_will_rerun(rerun_data.widget_states)
  File "/home/appuser/venv/lib/python3.9/site-packages/streamlit/runtime/state/safe_session_state.py", line 72, in on_script_will_rerun
    self._state.on_script_will_rerun(latest_widget_states)
  File "/home/appuser/venv/lib/python3.9/site-packages/streamlit/runtime/state/session_state.py", line 542, in on_script_will_rerun
    self._call_callbacks()
  File "/home/appuser/venv/lib/python3.9/site-packages/streamlit/runtime/state/session_state.py", line 555, in _call_callbacks
    self._new_widget_state.call_callback(wid)
  File "/home/appuser/venv/lib/python3.9/site-packages/streamlit/runtime/state/session_state.py", line 277, in call_callback
    callback(*args, **kwargs)
  File "/app/article_classifire/Classification.py", line 116, in main
    abstract_class = solver(abstact_models,[abstract],tag_type=tag_type,data_type='Abstract')
  File "/app/article_classifire/Classification.py", line 87, in solver
    x = predictor(models,text,n_classes,tag_type=tag_type,data_type=data_type)
  File "/app/article_classifire/Classification.py", line 75, in predictor
    x = i.predict(newtext)
  File "/home/appuser/venv/lib/python3.9/site-packages/keras/utils/traceback_utils.py", line 70, in error_handler
    raise e.with_traceback(filtered_tb) from None
  File "/home/appuser/venv/lib/python3.9/site-packages/tensorflow/python/eager/execute.py", line 52, in quick_execute
    tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
tensorflow.python.framework.errors_impl.InvalidArgumentError: Graph execution error:

Detected at node 'sequential_1/embedding_1/embedding_lookup' defined at (most recent call last):
    File "/usr/local/lib/python3.9/threading.py", line 937, in _bootstrap
      self._bootstrap_inner()
    File "/usr/local/lib/python3.9/threading.py", line 980, in _bootstrap_inner
      self.run()
    File "/usr/local/lib/python3.9/threading.py", line 917, in run
      self._target(*self._args, **self._kwargs)
    File "/home/appuser/venv/lib/python3.9/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 298, in _run_script_thread
      self._run_script(request.rerun_data)
    File "/home/appuser/venv/lib/python3.9/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 560, in _run_script
      self._session_state.on_script_will_rerun(rerun_data.widget_states)
    File "/home/appuser/venv/lib/python3.9/site-packages/streamlit/runtime/state/safe_session_state.py", line 72, in on_script_will_rerun
      self._state.on_script_will_rerun(latest_widget_states)
    File "/home/appuser/venv/lib/python3.9/site-packages/streamlit/runtime/state/session_state.py", line 542, in on_script_will_rerun
      self._call_callbacks()
    File "/home/appuser/venv/lib/python3.9/site-packages/streamlit/runtime/state/session_state.py", line 555, in _call_callbacks
      self._new_widget_state.call_callback(wid)
    File "/home/appuser/venv/lib/python3.9/site-packages/streamlit/runtime/state/session_state.py", line 277, in call_callback
      callback(*args, **kwargs)
    File "/app/article_classifire/Classification.py", line 116, in main
      abstract_class = solver(abstact_models,[abstract],tag_type=tag_type,data_type='Abstract')
    File "/app/article_classifire/Classification.py", line 87, in solver
      x = predictor(models,text,n_classes,tag_type=tag_type,data_type=data_type)
    File "/app/article_classifire/Classification.py", line 75, in predictor
      x = i.predict(newtext)
    File "/home/appuser/venv/lib/python3.9/site-packages/keras/utils/traceback_utils.py", line 65, in error_handler
      return fn(*args, **kwargs)
    File "/home/appuser/venv/lib/python3.9/site-packages/keras/engine/training.py", line 2350, in predict
      tmp_batch_outputs = self.predict_function(iterator)
    File "/home/appuser/venv/lib/python3.9/site-packages/keras/engine/training.py", line 2137, in predict_function
      return step_function(self, iterator)
    File "/home/appuser/venv/lib/python3.9/site-packages/keras/engine/training.py", line 2123, in step_function
      outputs = model.distribute_strategy.run(run_step, args=(data,))
    File "/home/appuser/venv/lib/python3.9/site-packages/keras/engine/training.py", line 2111, in run_step
      outputs = model.predict_step(data)
    File "/home/appuser/venv/lib/python3.9/site-packages/keras/engine/training.py", line 2079, in predict_step
      return self(x, training=False)
    File "/home/appuser/venv/lib/python3.9/site-packages/keras/utils/traceback_utils.py", line 65, in error_handler
      return fn(*args, **kwargs)
    File "/home/appuser/venv/lib/python3.9/site-packages/keras/engine/training.py", line 561, in __call__
      return super().__call__(*args, **kwargs)
    File "/home/appuser/venv/lib/python3.9/site-packages/keras/utils/traceback_utils.py", line 65, in error_handler
      return fn(*args, **kwargs)
    File "/home/appuser/venv/lib/python3.9/site-packages/keras/engine/base_layer.py", line 1132, in __call__
      outputs = call_fn(inputs, *args, **kwargs)
    File "/home/appuser/venv/lib/python3.9/site-packages/keras/utils/traceback_utils.py", line 96, in error_handler
      return fn(*args, **kwargs)
    File "/home/appuser/venv/lib/python3.9/site-packages/keras/engine/sequential.py", line 413, in call
      return super().call(inputs, training=training, mask=mask)
    File "/home/appuser/venv/lib/python3.9/site-packages/keras/engine/functional.py", line 511, in call
      return self._run_internal_graph(inputs, training=training, mask=mask)
    File "/home/appuser/venv/lib/python3.9/site-packages/keras/engine/functional.py", line 668, in _run_internal_graph
      outputs = node.layer(*args, **kwargs)
    File "/home/appuser/venv/lib/python3.9/site-packages/keras/utils/traceback_utils.py", line 65, in error_handler
      return fn(*args, **kwargs)
    File "/home/appuser/venv/lib/python3.9/site-packages/keras/engine/base_layer.py", line 1132, in __call__
      outputs = call_fn(inputs, *args, **kwargs)
    File "/home/appuser/venv/lib/python3.9/site-packages/keras/utils/traceback_utils.py", line 96, in error_handler
      return fn(*args, **kwargs)
    File "/home/appuser/venv/lib/python3.9/site-packages/keras/layers/core/embedding.py", line 208, in call
      out = tf.nn.embedding_lookup(self.embeddings, inputs)
Node: 'sequential_1/embedding_1/embedding_lookup'
indices[0,26] = 24544 is not in [0, 15000)
	 [[{{node sequential_1/embedding_1/embedding_lookup}}]] [Op:__inference_predict_function_1466]