conflicting requirements when installing from requirements.txt
nogkaha opened this issue · 2 comments
nogkaha commented
I've tried installing the dependencies using pipenv but got some errors:
[pipenv.exceptions.ResolutionFailure]: Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
ERROR: ERROR: Could not find a version that matches keras-applications==1.0.2,>=1.0.6
After digging it seems like tensorflow requires keras-applications>=1.0.6
while forcing Keras==2.2.0
requires keras-applications>=1.0.2
tensorflow==1.13.1
- absl-py [required: >=0.1.6, installed: 0.7.1]
- six [required: Any, installed: 1.12.0]
- astor [required: >=0.6.0, installed: 0.8.0]
- gast [required: >=0.2.0, installed: 0.2.2]
- grpcio [required: >=1.8.6, installed: 1.21.1]
- six [required: >=1.5.2, installed: 1.12.0]
- keras-applications [required: >=1.0.6, installed: 1.0.7]
Keras==2.2.0
- h5py [required: Any, installed: 2.9.0]
- numpy [required: >=1.7, installed: 1.16.3]
- six [required: Any, installed: 1.12.0]
- keras-applications [required: ==1.0.2, installed: 1.0.7]
Maybe you could slightly change the requirements?
Thanks
vanpelt commented
Upgrading keras to 2.2.4 should fix it. I just updated our requirements.txt
nogkaha commented
So I did, but then got an error when running perceptron-single-fixed.py
. I suspect the code is not compatible with the newer version of keras:
Traceback (most recent call last):
File "perceptron-single-fixed.py", line 28, in <module>
model.add(Dense(1), activation='sigmoid')
TypeError: add() got an unexpected keyword argument 'activation'
I was able to run it by changing the call to :
model.add(Dense(1))
model.add(Activation('sigmoid'))