I’m using the rasa nlu with the supervised_embedding pipeline, and I am trying to train my models. On my local machine, I can train without any issues. When I try to train the models on my server, I am getting the following error: The above exception was the direct cause of the following exception: Traceback (most recent call last): File ".\nlp\train_nlp_model.py", line 83, in <module> train_models(intents, number_of_threads, True) File ".\nlp\train_nlp_model.py", line 61, in train_models p.starmap(train_model, [(m, archive_existing) for m in model_types]) File "D:\Python\Python36\lib\multiprocessing\pool.py", line 274, in starmap return self._map_async(func, iterable, starmapstar, chunksize).get() File "D:\Python\Python36\lib\multiprocessing\pool.py", line 644, in get raise self._value Exception: Not all required packages are installed. To use this pipeline, you need to install the missing dependencies. Please install tensorflow However, if I do a pip freeze it shows that tensorflow is indeed installed: absl-py==0.9.0 astor==0.8.1 astroid==2.2.5 atomicwrites==1.3.0 attrs==19.1.0 Automat==0.7.0 bleach==1.5.0 boto3==1.9.196 botocore==1.12.196 cachetools==3.1.1 certifi==2019.6.16 cffi==1.13.2 characteristic==14.3.0 chardet==3.0.4 Click==7.0 cloudpickle==0.6.1 colorama==0.4.1 coloredlogs==10.0 constantly==15.1.0 cx-Oracle==6.3.1 cycler==0.10.0 cymem==1.31.2 cytoolz==0.9.0.1 dill==0.2.9 docutils==0.14 en-core-web-sm==2.0.0 et-xmlfile==1.0.1 Flask==1.0.2 future==0.17.1 fuzzywuzzy==0.16.0 gast==0.3.3 gevent==1.4.0 greenlet==0.4.15 grpcio==1.27.2 html5lib==0.9999999 humanfriendly==4.18 hyperlink==19.0.0 idna==2.8 importlib-metadata==0.23 incremental==17.5.0 isort==4.3.21 itsdangerous==1.1.0 jdcal==1.4.1 Jinja2==2.10.1 jmespath==0.9.4 joblib==0.13.2 jsonschema==2.6.0 kiwisolver==1.1.0 klein==17.10.0 lazy-object-proxy==1.4.1 Markdown==3.2.1 MarkupSafe==1.1.1 matplotlib==3.1.1 mccabe==0.6.1 more-itertools==7.2.0 msgpack==0.6.1 msgpack-numpy==0.4.3.2 murmurhash==0.28.0 numpy==1.16.4+mkl openpyxl==2.6.2 packaging==18.0 pandas==0.25.3 pathlib==1.0.1 plac==0.9.6 pluggy==0.13.0 preshed==1.0.1 protobuf==3.11.3 py==1.8.0 pycparser==2.19 PyHamcrest==1.9.0 pylint==2.3.1 pyodbc==4.0.23 pyparsing==2.4.1.1 pyreadline==2.1 pyrsistent==0.15.3 pytest==5.2.1 python-crfsuite==0.9.6 python-dateutil==2.8.0 python-Levenshtein==0.12.0 pytz==2019.1 pywin32==223 PyYAML==5.1.1 rasa-nlu==0.15.1 regex==2017.4.5 requests==2.22.0 rope==0.14.0 ruamel.yaml==0.15.100 s3transfer==0.2.1 scikit-learn==0.20.3 scipy==1.1.0 simplejson==3.16.0 six==1.12.0 sklearn==0.0 sklearn-crfsuite==0.3.6 spacy==2.0.11 tabulate==0.8.3 tensorboard==1.7.0 tensorflow==1.7.0 termcolor==1.1.0 thinc==6.10.3 toolz==0.10.0 tqdm==4.32.2 Tubes==0.2.0 Twisted==19.10.0 typed-ast==1.4.0 typing==3.7.4 ujson==1.35 urllib3==1.25.3 wcwidth==0.1.7 Werkzeug==0.15.5 word2number==1.1 wrapt==1.10.11 zipp==0…

Hey, I did try using tensorflow 1.15, and was getting DLL Import issues. I managed to figure out that the reason it wasn’t working is because the CPU on my server didn’t have the AVX instruction set. I have managed to train using another server.

ERROR: To use this pipeline, please install Tensorflow

Rasa Open Source

ranjankumar96 (Ranjankumar96) April 16, 2020, 7:37am 4

HI ,

i am facing DDL error . Not able to load compatible tensorflow versoin for RASA

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ERROR: To use this pipeline, please install Tensorflow

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