Hi !
When I try to do:
from deepspeech.model import Model
import tensorflow
I get Failed to load the native TensorFlow runtime.
if i switched the order to:
import tensorflow
from deepspeech.model import Model
I get Illegal instruction: 4.
Not sure where to go from here
Not sure either on the first one. The second one would suggest you lack some CPU extensions … ?
hmmm. it is interesting because If i dont import deepspeech and I just run the CLI using subprocess in python it works. So not sure what to do.
Try first to give us all the missing informations ? Like CPU, versions, etc. I’m also not sure if one should expect all that to work, indeed. Also, what’s your usecase for loading both together ?
macOS Sierra
Processor: 2.5 GHZ Intel Core i7
Memory: 16GB
Python 3.6.5 :: Anaconda, Inc.
pip freeze:
absl-py==0.2.2
alabaster==0.7.10
anaconda-client==1.6.14
anaconda-navigator==1.8.7
anaconda-project==0.8.2
appnope==0.1.0
appscript==1.0.1
asn1crypto==0.24.0
astor==0.6.2
astroid==1.6.3
astropy==3.0.2
attrs==18.1.0
Babel==2.5.3
backcall==0.1.0
backports.shutil-get-terminal-size==1.0.0
beautifulsoup4==4.6.0
bitarray==0.8.1
bkcharts==0.2
blaze==0.11.3
bleach==1.5.0
bokeh==0.12.16
boto==2.48.0
boto3==1.7.37
botocore==1.10.37
Bottleneck==1.2.1
certifi==2018.4.16
cffi==1.11.5
chardet==3.0.4
click==6.7
cloudpickle==0.5.3
clyent==1.2.2
colorama==0.3.9
conda==4.5.4
conda-build==3.10.5
conda-verify==2.0.0
contextlib2==0.5.5
cryptography==2.2.2
cycler==0.10.0
Cython==0.28.2
cytoolz==0.9.0.1
dask==0.17.5
datashape==0.5.4
decorator==4.3.0
deepspeech==0.1.1
distributed==1.21.8
docutils==0.14
entrypoints==0.2.3
et-xmlfile==1.0.1
fastcache==1.0.2
filelock==3.0.4
Flask==1.0.2
Flask-Cors==3.0.4
gast==0.2.0
gevent==1.3.0
glob2==0.6
gmpy2==2.0.8
greenlet==0.4.13
grpcio==1.12.1
h5py==2.7.1
heapdict==1.0.0
html5lib==0.9999999
idna==2.6
imageio==2.3.0
imagesize==1.0.0
ipykernel==4.8.2
ipython==6.4.0
ipython-genutils==0.2.0
ipywidgets==7.2.1
isort==4.3.4
itsdangerous==0.24
jdcal==1.4
jedi==0.12.0
Jinja2==2.10
jmespath==0.9.3
jsonschema==2.6.0
jupyter==1.0.0
jupyter-client==5.2.3
jupyter-console==5.2.0
jupyter-core==4.4.0
jupyterlab==0.32.1
jupyterlab-launcher==0.10.5
kiwisolver==1.0.1
lazy-object-proxy==1.3.1
llvmlite==0.23.1
locket==0.2.0
lxml==4.2.1
Markdown==2.6.11
MarkupSafe==1.0
matplotlib==2.2.2
mccabe==0.6.1
mistune==0.8.3
mkl-fft==1.0.0
mkl-random==1.0.1
more-itertools==4.1.0
mpmath==1.0.0
msgpack==0.5.6
msgpack-python==0.5.6
multipledispatch==0.5.0
navigator-updater==0.2.1
nbconvert==5.3.1
nbformat==4.4.0
networkx==2.1
nltk==3.3
nose==1.3.7
notebook==5.5.0
numba==0.38.0
numexpr==2.6.5
numpy==1.14.3
numpydoc==0.8.0
odo==0.5.1
olefile==0.45.1
openpyxl==2.5.3
packaging==17.1
pandas==0.23.0
pandocfilters==1.4.2
parso==0.2.0
partd==0.3.8
path.py==11.0.1
pathlib2==2.3.2
patsy==0.5.0
pep8==1.7.1
pexpect==4.5.0
pickleshare==0.7.4
Pillow==5.1.0
pkginfo==1.4.2
pluggy==0.6.0
ply==3.11
prompt-toolkit==1.0.15
protobuf==3.5.2.post1
psutil==5.4.5
psycopg2==2.7.4
ptyprocess==0.5.2
py==1.5.3
PyAudio==0.2.11
pycodestyle==2.4.0
pycosat==0.6.3
pycparser==2.18
pycrypto==2.6.1
pycurl==7.43.0.1
pyflakes==1.6.0
Pygments==2.2.0
pylint==1.8.4
pyodbc==4.0.23
pyOpenSSL==18.0.0
pyparsing==2.2.0
PySocks==1.6.8
pytest==3.5.1
pytest-arraydiff==0.2
pytest-astropy==0.3.0
pytest-doctestplus==0.1.3
pytest-openfiles==0.3.0
pytest-remotedata==0.2.1
python-dateutil==2.7.3
pytz==2018.4
PyWavelets==0.5.2
PyYAML==3.12
pyzmq==17.0.0
QtAwesome==0.4.4
qtconsole==4.3.1
QtPy==1.4.1
requests==2.18.4
rope==0.10.7
ruamel-yaml==0.15.35
s3transfer==0.1.13
scikit-image==0.13.1
scikit-learn==0.19.1
scipy==1.1.0
seaborn==0.8.1
Send2Trash==1.5.0
simplegeneric==0.8.1
singledispatch==3.4.0.3
six==1.11.0
snowballstemmer==1.2.1
sortedcollections==0.6.1
sortedcontainers==1.5.10
Sphinx==1.7.4
sphinxcontrib-websupport==1.0.1
spyder==3.2.8
SQLAlchemy==1.2.7
statsmodels==0.9.0
sympy==1.1.1
tables==3.4.3
tblib==1.3.2
tensorboard==1.8.0
tensorflow==1.8.0
tensorflow-tensorboard==1.5.1
termcolor==1.1.0
terminado==0.8.1
testpath==0.3.1
tflearn==0.3.2
timer==0.1
toolz==0.9.0
tornado==5.0.2
traitlets==4.3.2
typing==3.6.4
unicodecsv==0.14.1
urllib3==1.22
wcwidth==0.1.7
webencodings==0.5.1
Werkzeug==0.14.1
widgetsnbextension==3.2.1
wrapt==1.10.11
xlrd==1.1.0
XlsxWriter==1.0.4
xlwings==0.11.8
xlwt==1.2.0
zict==0.1.3
Use case is that I am running Deep Speech to generate speech to text. Then I am taking that text and running it through a neural net to create a chat bot.
LMK if you need any other info! Thanks!
Ok. Can you try that out of Anaconda ? Also, we really need the exact CPU model, they might have different extensions …