Tensorflow dependencies: tensorflow 1.15.0 has requirement tensorboard<1.16.0,>=1.15.0 : What's the solution?

0
votes

I have this list of dependencies:

absl-py==0.7.0
bleach==1.5.0
click==6.7
cycler==0.10.0
decorator==4.2.1
futures==3.1.1
h5py==2.7.1
html5lib==0.9999999
imageio==2.2.0
Keras==2.1.5
Markdown==2.6.11
matplotlib==3.1.1
networkx==2.1
numpy==1.16.0
Pillow==5.0.0
pip-autoremove==0.9.0
protobuf==3.7
pyparsing==2.2.0
python-dateutil==2.6.1
pytz==2017.3
PyWavelets==0.5.2
PyYAML==3.12
scikit-image==0.13.1
scipy==1.1.0
six==1.12.0
tensorflow-gpu
tensorflow-tensorboard==1.5.1
tqdm==4.19.5
Werkzeug==0.15

I have these errors:

ERROR: tensorflow 1.15.0 has requirement tensorboard<1.16.0,>=1.15.0, but you'll have tensorboard 2.0.0 which is incompatible.

ERROR: tensorflow 1.15.0 has requirement tensorflow-estimator==1.15.1, but you'll have tensorflow-estimator 2.0.1 which is incompatible.

ERROR: datascience 0.10.6 has requirement folium==0.2.1, but you'll have folium 0.8.3 which is incompatible.

ERROR: albumentations 0.1.12 has requirement imgaug<0.2.7,>=0.2.5, but you'll have imgaug 0.2.9 which is incompatible.

What's the solution? Should I use an external tool to solve this dependencies problem?

1
pythontensorflowdependenciesdependency-management

1 Answers

4
votes

Uninstall conflicting dependencies. For tensorflow it would be:

pip uninstall tensorflow tensorflow-tensorboard tensorflow-estimator

(maybe there are some more, not sure).

Secondly, reinstall tensorflow by issuing (change pinned version to whatever you want, maybe new 2.0):

pip install tensorflow==1.15.0

Same for other dependencies, uninstall what's necessary and install with explicit version pinning as displayed by your error.

Finally, appropriate tensorboard is downloaded when you install tensorflow (same for estimator) at least in Tensorflow 2.0. If not, you may have to install those explicitly, same as your tensorflow version. Consult installed packages list if necessary.