My app appears to boot up fine until it gets to import tensorflow.compat.v2 as tf.
Here is the full traceback:
Traceback (most recent call last):
File "/home/appuser/venv/lib/python3.8/site-packages/streamlit/script_runner.py", line 379, in _run_script
exec(code, module.__dict__)
File "/app/msvc/msvc/src/app.py", line 158, in <module>
main()
File "/app/msvc/msvc/src/app.py", line 105, in main
frill_module = load_frill_module()
File "/home/appuser/venv/lib/python3.8/site-packages/streamlit/caching/cache_utils.py", line 145, in wrapper
return get_or_create_cached_value()
File "/home/appuser/venv/lib/python3.8/site-packages/streamlit/caching/cache_utils.py", line 137, in get_or_create_cached_value
return_value = func(*args, **kwargs)
File "/app/msvc/msvc/src/features/load_frill_module.py", line 11, in load_frill_module
import tensorflow.compat.v2 as tf
File "/home/appuser/venv/lib/python3.8/site-packages/tensorflow/__init__.py", line 41, in <module>
from tensorflow.python.tools import module_util as _module_util
File "/home/appuser/venv/lib/python3.8/site-packages/tensorflow/python/__init__.py", line 40, in <module>
from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow
File "/home/appuser/venv/lib/python3.8/site-packages/tensorflow/python/pywrap_tensorflow.py", line 83, in <module>
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "/home/appuser/venv/lib/python3.8/site-packages/streamlit/caching/cache_utils.py", line 126, in get_or_create_cached_value
return_value = cache.read_value(value_key)
File "/home/appuser/venv/lib/python3.8/site-packages/streamlit/caching/singleton_decorator.py", line 263, in read_value
raise CacheKeyNotFoundError()
streamlit.caching.cache_errors.CacheKeyNotFoundError
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/appuser/venv/lib/python3.8/site-packages/tensorflow/python/pywrap_tensorflow.py", line 64, in <module>
from tensorflow.python._pywrap_tensorflow_internal import *
ImportError: /usr/lib/x86_64-linux-gnu/libstdc++.so.6: version `GLIBCXX_3.4.29' not found (required by /home/appuser/venv/lib/python3.8/site-packages/tensorflow/python/../../../../libgrpc.so.20)
Failed to load the native TensorFlow runtime.
See https://www.tensorflow.org/install/errors
for some common reasons and solutions. Include the entire stack trace
above this error message when asking for help.
Here are the contents of my environment.yml file:
name: msvc_env_mm
channels:
- conda-forge
- pytorch-nightly
- defaults
dependencies:
- _libgcc_mutex=0.1
- _openmp_mutex=4.5
- abseil-cpp=20210324.2
- absl-py=0.15.0
- aiohttp=3.8.1
- aiosignal=1.2.0
- alsa-lib=1.2.3
- altair=4.2.0
- appdirs=1.4.4
- argh=0.26.2
- argon2-cffi=21.3.0
- argon2-cffi-bindings=21.2.0
- arrow-cpp=5.0.0
- astor=0.8.1
- asttokens=2.0.5
- astunparse=1.6.3
- async-timeout=4.0.2
- attrs=21.4.0
- av=8.0.2
- aws-c-auth=0.6.8
- aws-c-cal=0.5.12
- aws-c-common=0.6.17
- aws-c-compression=0.2.14
- aws-c-event-stream=0.2.7
- aws-c-http=0.6.10
- aws-c-io=0.10.14
- aws-c-mqtt=0.7.10
- aws-c-s3=0.1.29
- aws-c-sdkutils=0.1.1
- aws-checksums=0.1.12
- aws-crt-cpp=0.17.10
- aws-sdk-cpp=1.9.160
- backcall=0.2.0
- backports=1.0
- backports.functools_lru_cache=1.6.4
- backports.zoneinfo=0.2.1
- base58=2.1.1
- black=21.5b2
- blas=1.0
- bleach=4.1.0
- blinker=1.4
- bokeh=2.3.3
- boto3=1.20.41
- botocore=1.23.41
- bottleneck=1.3.2
- brotli=1.0.9
- brotli-bin=1.0.9
- brotlipy=0.7.0
- bzip2=1.0.8
- c-ares=1.18.1
- ca-certificates=2021.10.8
- cached-property=1.5.2
- cached_property=1.5.2
- cachetools=4.2.4
- certifi=2021.10.8
- cffi=1.15.0
- charset-normalizer=2.0.10
- click=8.0.3
- cloudpickle=2.0.0
- colorama=0.4.4
- cryptography=36.0.1
- cudatoolkit=11.5.0
- cudnn=8.2.1.32
- cycler=0.11.0
- cytoolz=0.11.2
- daal4py=2021.4.0
- dal=2021.4.0
- dask=2022.1.0
- dask-core=2022.1.0
- dataclasses=0.8
- dbus=1.13.6
- debugpy=1.5.1
- decorator=5.1.1
- defusedxml=0.7.1
- distributed=2022.1.0
- entrypoints=0.3
- executing=0.8.2
- expat=2.4.3
- ffmpeg=4.2.3
- ffmpeg-python
- flit-core=3.6.0
- font-ttf-dejavu-sans-mono=2.37
- font-ttf-inconsolata=3.000
- font-ttf-source-code-pro=2.038
- font-ttf-ubuntu=0.83
- fontconfig=2.13.1
- fonts-conda-ecosystem=1
- fonts-conda-forge=1
- fonttools=4.28.5
- freetype=2.10.4
- frozenlist=1.2.0
- fsspec=2022.1.0
- gast=0.4.0
- gettext=0.19.8.1
- gflags=2.2.2
- giflib=5.2.1
- gitdb=4.0.9
- gitpython=3.1.26
- glog=0.5.0
- gmp=6.2.1
- gnutls=3.6.13
- google-auth=1.35.0
- google-auth-oauthlib=0.4.6
- google-pasta=0.2.0
- grpc-cpp=1.42.0
- grpcio=1.42.0
- gst-plugins-base=1.18.5
- gstreamer=1.18.5
- h5py=3.1.0
- hdf5=1.10.6
- heapdict=1.0.1
- icu=69.1
- idna=3.3
- importlib-metadata=4.10.1
- importlib_resources=5.4.0
- intel-openmp=2022.0.1
- ipykernel=6.7.0
- ipython=8.0.1
- ipython_genutils=0.2.0
- ipywidgets=7.6.5
- jbig=2.1
- jedi=0.18.1
- jinja2=3.0.3
- jmespath=0.10.0
- joblib=1.1.0
- jpeg=9d
- jsonschema=4.4.0
- jupyter_client=7.1.2
- jupyter_core=4.9.1
- jupyterlab_pygments=0.1.2
- jupyterlab_widgets=1.0.2
- keras=2.6.0
- keras-preprocessing=1.1.2
- kiwisolver=1.3.2
- krb5=1.19.2
- lame=3.100
- lcms2=2.12
- ld_impl_linux-64=2.36.1
- lerc=3.0
- libblas=3.9.0
- libbrotlicommon=1.0.9
- libbrotlidec=1.0.9
- libbrotlienc=1.0.9
- libcblas=3.9.0
- libclang=13.0.0
- libcurl=7.81.0
- libdeflate=1.8
- libedit=3.1.20191231
- libev=4.33
- libevent=2.1.10
- libffi=3.4.2
- libflac=1.3.3
- libgcc-ng=11.2.0
- libgfortran-ng=11.2.0
- libgfortran5=11.2.0
- libglib=2.70.2
- libgomp=11.2.0
- libiconv=1.16
- liblapack=3.9.0
- libllvm13=13.0.0
- libnghttp2=1.43.0
- libnsl=2.0.0
- libogg=1.3.4
- libopus=1.3.1
- libpng=1.6.37
- libpq=14.1
- libprotobuf=3.18.1
- libsndfile=1.0.31
- libsodium=1.0.18
- libssh2=1.10.0
- libstdcxx-ng=11.2.0
- libthrift=0.15.0
- libtiff=4.3.0
- libutf8proc=2.7.0
- libuuid=2.32.1
- libuv=1.43.0
- libvorbis=1.3.7
- libwebp-base=1.2.2
- libxcb=1.13
- libxkbcommon=1.0.3
- libxml2=2.9.12
- libzlib=1.2.11
- locket=0.2.0
- lz4-c=1.9.3
- markdown=3.3.6
- markupsafe=2.0.1
- matplotlib=3.5.1
- matplotlib-base=3.5.1
- matplotlib-inline=0.1.3
- mistune=0.8.4
- mkl=2022.0.1
- modin=0.12.1
- modin-core=0.12.1
- modin-dask=0.12.1
- mpi=1.0
- mpich=3.4.3
- msgpack-python=1.0.3
- multidict=5.2.0
- munkres=1.1.4
- mypy_extensions=0.4.3
- mysql-common=8.0.28
- mysql-libs=8.0.28
- nbclient=0.5.10
- nbconvert=6.4.0
- nbformat=5.1.3
- nccl=2.11.4.1
- ncurses=6.3
- nest-asyncio=1.5.4
- nettle=3.6
- notebook=6.4.7
- nspr=4.32
- nss=3.74
- numexpr=2.7.3
- numpy=1.19.5
- oauthlib=3.1.1
- olefile=0.46
- openh264=2.1.1
- openjpeg=2.4.0
- openssl=1.1.1l
- opt_einsum=3.3.0
- orc=1.7.1
- packaging=21.3
- pandas=1.3.5
- pandoc=2.17.0.1
- pandocfilters=1.5.0
- parquet-cpp=1.5.1
- parso=0.8.3
- partd=1.2.0
- pathspec=0.9.0
- patsy=0.5.2
- pcre=8.45
- pexpect=4.8.0
- pickleshare=0.7.5
- pillow=8.4.0
- pip=21.3.1
- prometheus_client=0.12.0
- prompt-toolkit=3.0.24
- protobuf=3.18.1
- psutil=5.9.0
- pthread-stubs=0.4
- ptyprocess=0.7.0
- pure_eval=0.2.2
- pyarrow=5.0.0
- pyasn1=0.4.8
- pyasn1-modules=0.2.7
- pycparser=2.21
- pydeck=0.5.0
- pydub=0.25.1
- pygments=2.11.2
- pyjwt=2.3.0
- pympler=0.9
- pyopenssl=21.0.0
- pyparsing=3.0.7
- pyqt=5.12.3
- pyqt-impl=5.12.3
- pyqt5-sip=4.19.18
- pyqtchart=5.12
- pyqtwebengine=5.12.1
- pyrsistent=0.18.1
- pysocks=1.7.1
- pysoundfile=0.10.3.post1
- python=3.8.12
- python-dateutil=2.8.2
- python-flatbuffers=1.12
- python-tzdata=2021.5
- python_abi=3.8
- pytorch=1.11.0.*
- pytorch-mutex=1.0
- pytz=2021.3
- pytz-deprecation-shim=0.1.0.post0
- pyu2f=0.1.5
- pyyaml=6.0
- pyzmq=22.3.0
- qt=5.12.9
- re2=2021.11.01
- readline=8.1
- regex=2022.1.18
- requests=2.27.1
- requests-oauthlib=1.3.0
- rsa=4.8
- s2n=1.3.0
- s3transfer=0.5.0
- scikit-learn=1.0.2
- scikit-learn-intelex=2021.4.0
- scipy=1.7.3
- seaborn=0.11.2
- seaborn-base=0.11.2
- send2trash=1.8.0
- setuptools=59.8.0
- six=1.15.0
- smmap=3.0.5
- snappy=1.1.8
- sortedcontainers=2.4.0
- sqlite=3.37.0
- stack_data=0.1.4
- statsmodels=0.13.1
- streamlit=1.4.0
- swifter=1.0.9
- tbb=2021.5.0
- tblib=1.7.0
- tensorboard=2.6.0
- tensorboard-data-server=0.6.0
- tensorboard-plugin-wit=1.8.1
- tensorflow=2.6.2
- tensorflow-base=2.6.2
- tensorflow-estimator=2.6.2
- tensorflow-hub=0.12.0
- termcolor=1.1.0
- terminado=0.12.1
- testpath=0.5.0
- threadpoolctl=3.0.0
- tk=8.6.11
- toml=0.10.2
- tomli=2.0.0
- toolz=0.11.2
- torchaudio=0.11.0.*
- tornado=6.1
- tqdm=4.62.3
- traitlets=5.1.1
- typed-ast=1.5.1
- typing-extensions=3.7.4.3
- typing_extensions=3.7.4.3
- tzdata=2021e
- tzlocal=4.1
- unicodedata2=14.0.0
- urllib3=1.26.8
- validators=0.18.2
- watchdog=2.1.6
- wcwidth=0.2.5
- webencodings=0.5.1
- werkzeug=2.0.2
- wheel=0.37.1
- widgetsnbextension=3.5.2
- wrapt=1.12.1
- x264=1!152.20180806
- xorg-libxau=1.0.9
- xorg-libxdmcp=1.1.3
- xz=5.2.5
- yaml=0.2.5
- yarl=1.7.2
- zeromq=4.3.4
- zict=2.0.0
- zipp=3.7.0
- zlib=1.2.11
- zstd=1.5.2
- pip:
- streamlit-webrtc>=0.34.2
- -e .
Here is the repo link: GitHub - michen00/MSVC: multilingual speech valence classifier
I have tried changing tensorflow, tensorflow-base, and tensorflow-estimator to versions 2.3.0, 2.6.0, and 2.7.0 as well as including tensorflow in packages.txt, but the build does not get past creating the environment when I do this.
Here is the offending code in context:
@st.experimental_singleton
def load_frill_module():
"""returns the FRILL module as a tensorflow _UserObject"""
with st.spinner("thank you for your patience..."):
import tensorflow.compat.v2 as tf
import tensorflow_hub as hub
tf.enable_v2_behavior()
frill_path = "msvc/src/features/FRILL"
return hub.load(frill_path)
I have also tried the following variant of the method, which results in the same error:
@st.experimental_singleton
def load_frill_module():
"""returns the FRILL module as a tensorflow _UserObject"""
with st.spinner("thank you for your patience..."):
# import tensorflow.compat.v2 as tf
import tensorflow as tf
import tensorflow_hub as hub
# tf.enable_v2_behavior()
frill_path = "msvc/src/features/FRILL"
return hub.load(frill_path)
What should I do to resolve this? Am I specifying my environment incorrectly? Is there an incompatibility between packages I am not aware of? Please advise. 
UPDATE: I wasn’t able to figure this out, but I worked around it by using pip list --format=freeze > requirements.txt from within the environment and then manually editing some remaining incompatibilities.