RASA INIT Error - monitoring.py

Rasa Open Source Feedback on Rasa Open Source
1

Hi,

I created a new virtual environment and installed rasa and then gave “rasa init”. It aked if I want to train my 1st model and then it gave below error.

Training an initial model...
2021-11-05 16:01:52.274643: E tensorflow/core/lib/monitoring/collection_registry.cc:77] Cannot register 2 metrics with the same name: /tensorflow/api/keras/optimizers
Traceback (most recent call last):
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "C:\Users\Selvakumar Raj\Anaconda3\envs\visualize1\Scripts\rasa.exe\__main__.py", line 7, in <module>
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\rasa\__main__.py", line 118, in main
    cmdline_arguments.func(cmdline_arguments)
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\rasa\cli\scaffold.py", line 235, in run
    init_project(args, path)
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\rasa\cli\scaffold.py", line 130, in init_project
    print_train_or_instructions(args, path)
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\rasa\cli\scaffold.py", line 69, in print_train_or_instructions
    training_result = rasa.train(domain, config, training_files, output)
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\rasa\api.py", line 106, in train
    from rasa.model_training import train_async
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\rasa\model_training.py", line 22, in <module>
    from rasa.nlu.model import Interpreter
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\rasa\nlu\model.py", line 14, in <module>
    from rasa.nlu import components, utils
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\rasa\nlu\components.py", line 7, in <module>    import rasa.utils.train_utils
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\rasa\utils\train_utils.py", line 39, in <module>
    from rasa.utils.tensorflow.callback import RasaTrainingLogger, RasaModelCheckpoint
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\rasa\utils\tensorflow\callback.py", line 13, in <module>
    class RasaTrainingLogger(tf.keras.callbacks.Callback):
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\tensorflow\python\util\lazy_loader.py", line 62, in __getattr__
    module = self._load()
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\tensorflow\python\util\lazy_loader.py", line 45, in _load
    module = importlib.import_module(self.__name__)
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\importlib\__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\keras\__init__.py", line 25, in <module>
    from keras import models
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\keras\models.py", line 20, in <module>
    from keras import metrics as metrics_module
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\keras\metrics.py", line 26, in <module>
    from keras import activations
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\keras\activations.py", line 20, in <module>
    from keras.layers import advanced_activations
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\keras\layers\__init__.py", line 23, in <module>
    from keras.engine.input_layer import Input
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\keras\engine\input_layer.py", line 21, in <module>
    from keras.engine import base_layer
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\keras\engine\base_layer.py", line 43, in <module>
    from keras.mixed_precision import loss_scale_optimizer
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\keras\mixed_precision\loss_scale_optimizer.py", line 18, in <module>
   from keras import optimizers
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\keras\optimizers.py", line 26, in <module>
    from keras.optimizer_v2 import adadelta as adadelta_v2
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\keras\optimizer_v2\adadelta.py", line 22, in <module>
    from keras.optimizer_v2 import optimizer_v2
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\keras\optimizer_v2\optimizer_v2.py", line 37, in <module>
    "/tensorflow/api/keras/optimizers", "keras optimizer usage", "method")
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\tensorflow\python\eager\monitoring.py", line 361, in __init__
    len(labels), name, description, *labels)
  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\tensorflow\python\eager\monitoring.py", line 135, in __init__
    self._metric = self._metric_methods[self._label_length].create(*args)
tensorflow.python.framework.errors_impl.AlreadyExistsError: Another metric with the same name already exists.

I’ve couple of other Envs, where the Bot runs fine and I did not face any issue. Please advise.

2

First, what is the difference of this system to previous, where it is working?

3

@InnoOmnia No difference in the way I created them. I used the same commands for creating both Env and installing the required components in both

conda install ujson
conda install tensorflow
pip install --user --upgrade pip==20.2
pip install rasa[full]
pip install rasa[spacy]
python -m spacy download en_core_web_md

I deleted the Environment and created it again and facing the same issue.

  File "c:\users\selvakumar raj\anaconda3\envs\visualize1\lib\site-packages\tensorflow\python\eager\monitoring.py", line 135, in __init__
    self._metric = self._metric_methods[self._label_length].create(*args)
tensorflow.python.framework.errors_impl.AlreadyExistsError: Another metric with the same name already exists.
4

Ok, there might be issue with your virtual environment, they do separate most of things but not all and that’s why your first environment works and second not. I have noticed that in other projects when using conda virtual environments. So if your need is run multiple chatbots in same machine, I recommend Docker containers

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