EMI-RNN notebooks error with "Cannot take the length of Shape with unknown rank." about edgeml

[metastableB]

Hi @jacobrosenthal, could you please,

1. Provide your tensorflow and python versions
2. Provide a minimal working example
3. If you are using our notebooks, please tell us which one you are using.

The notebooks we have pushed have been tested on python3 and Tensorflow 1.6+. I'm unsure where this bug is originating. y_predicted used in emiTrainer.py:78 - the line causing the ValueError, should have a clearly defined rank of 4. The bug seems to be being propagated from somewhere else.

[jacobrosenthal]

1. Im using jupyter/tensorflow-notebook:latest docker image which would appear to be 8ccdfc1da8d5 which appears to have Python 3.6.3 and tensorflow (1.5.1)
2. Yeah not my code the notebook examples
3. Same error on all 3 EMI RNN notebooks.

jovyan@483f90a6ff20:/Users/jacobrosenthal/Downloads/EdgeML/tf$ python --version
Python 3.6.3 :: Anaconda, Inc.
jovyan@180b3e5bcf13:/Users/jacobrosenthal/Downloads/EdgeML/tf$ pip list
DEPRECATION: The default format will switch to columns in the future. You can use --format=(legacy|columns) (or define a format=(legacy|columns) in your pip.conf under the [list] section) to disable this warning.
absl-py (0.4.0)
alembic (0.9.9)
appdirs (1.4.3)
asn1crypto (0.24.0)
async-generator (1.10)
attrs (18.1.0)
Automat (0.0.0)
backcall (0.1.0)
backports.weakref (1.0.post1)
beautifulsoup4 (4.6.3)
bleach (1.5.0)
bokeh (0.12.16)
certifi (2018.8.13)
cffi (1.11.5)
chardet (3.0.4)
cloudpickle (0.5.3)
conda (4.5.8)
constantly (15.1.0)
cryptography (2.2.1)
cycler (0.10.0)
Cython (0.28.5)
dask (0.18.2)
decorator (4.3.0)
dill (0.2.8.2)
entrypoints (0.2.3)
fastcache (1.0.2)
gmpy2 (2.0.8)
h5py (2.7.1)
html5lib (0.9999999)
hyperlink (17.3.1)
idna (2.7)
imageio (2.3.0)
incremental (17.5.0)
ipykernel (4.8.2)
ipython (6.5.0)
ipython-genutils (0.2.0)
ipywidgets (7.2.1)
jedi (0.12.1)
Jinja2 (2.10)
jsonschema (2.6.0)
jupyter-client (5.2.3)
jupyter-core (4.4.0)
jupyterhub (0.9.2)
jupyterlab (0.34.0)
jupyterlab-launcher (0.13.1)
Keras (2.1.6)
kiwisolver (1.0.1)
llvmlite (0.23.0)
Mako (1.0.7)
Markdown (2.6.11)
MarkupSafe (1.0)
matplotlib (2.2.3)
mistune (0.8.3)
nbconvert (5.3.1)
nbformat (4.4.0)
networkx (2.1)
notebook (5.6.0)
numba (0.38.1)
numexpr (2.6.6)
numpy (1.13.3)
olefile (0.45.1)
packaging (17.1)
pamela (0.3.0)
pandas (0.23.4)
pandocfilters (1.4.2)
parso (0.3.1)
patsy (0.5.0)
pexpect (4.6.0)
pickleshare (0.7.4)
Pillow (5.2.0)
pip (9.0.3)
prometheus-client (0.3.0)
prompt-toolkit (1.0.15)
protobuf (3.6.0)
ptyprocess (0.6.0)
pyasn1 (0.4.4)
pyasn1-modules (0.2.1)
pycosat (0.6.3)
pycparser (2.18)
pycurl (7.43.0.2)
Pygments (2.2.0)
pygpu (0.7.6)
pyOpenSSL (18.0.0)
pyparsing (2.2.0)
PySocks (1.6.8)
python-dateutil (2.7.3)
python-editor (1.0.3)
python-oauth2 (1.0.1)
pytz (2018.5)
PyWavelets (0.5.2)
PyYAML (3.12)
pyzmq (17.1.2)
requests (2.19.1)
ruamel-yaml (0.15.44)
scikit-image (0.14.0)
scikit-learn (0.19.2)
scipy (1.1.0)
seaborn (0.9.0)
Send2Trash (1.5.0)
service-identity (17.0.0)
setuptools (40.0.0)
simplegeneric (0.8.1)
six (1.11.0)
SQLAlchemy (1.2.11)
statsmodels (0.9.0)
sympy (1.1.1)
tensorflow (1.5.1)
tensorflow-tensorboard (1.5.1)
terminado (0.8.1)
testpath (0.3.1)
Theano (1.0.2)
toolz (0.9.0)
tornado (5.1)
traitlets (4.3.2)
Twisted (18.7.0)
urllib3 (1.23)
vincent (0.4.4)
wcwidth (0.1.7)
webencodings (0.5)
Werkzeug (0.14.1)
wheel (0.31.1)
widgetsnbextension (3.2.1)
xlrd (1.1.0)
zope.interface (4.5.0)
You are using pip version 9.0.3, however version 18.0 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
jovyan@180b3e5bcf13:/Users/jacobrosenthal/Downloads/EdgeML/tf$ 

[adityakusupati]

@jacobrosenthal , we were able to recreate the bug. It is solely due to your tensorflow version being not compatible. TF made some major change during the transition from tf 1.5 to tf 1.6. Our code bases are currently supporting only >= tf 1.6.0. So please upgrade your tensorflow version and let us know if the problem persists. I was able to recreate the same error and was able to fix it by just changing the tf version.

Will be closing this now. Let us know if you still face issues.

[jacobrosenthal]

Thank you for confirming.

…

On Wed, Aug 29, 2018 at 11:15 PM Aditya Kusupati ***@***.***> wrote: @jacobrosenthal <https://github.com/jacobrosenthal> , we were able to recreate the bug. It is solely due to your tensorflow version being not compatible. TF made some major change during the transition from tf 1.5 to tf 1.6. Our code bases are currently supporting only >= tf 1.6.0. So please upgrade your tensorflow version and let us know if the problem persists. I was able to recreate the same error and was able to fix it by just changing the tf version. Will be closing this now. Let us know if you still face issues. — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#53 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AAb0dMMEK70Zg8cR8hpELvGtZjI0VDRSks5uV4MIgaJpZM4WQpPf> .