Closed tuananhvip closed 5 years ago
I think it's better if you can move to v.0.6 by:
pip install git+https://github.com/autonomio/talos@daily-dev
...even though it is still pre-release.
When it comes to GPU utilization, that is coming directly from TensorFlow, and Talos is not changing it in anyway. Iris is a very small problem, so it is expected that GPU utilization is very low. Generally you will see +80% utilization rate with complex and deep networks, and big datasets.
Finally, related with the specific dependencies for <=v0.5, there is the #317 already open for that.
I'm going to close this as there is nothing new to resolve. Feel free to open a new issue if anything else.
I tried this but when importing I'm getting:
`NameError Traceback (most recent call last)
@shsh88 I think you are in a notebook, and you have to restart the notebook kernel and then this error will go away.
@shsh88 I think you are in a notebook, and you have to restart the notebook kernel and then this error will go away.
Thanks a lot this helped
I have problems when installing it, all come from versions of requirements packages like matplotlib. I were already update them all, but still errors. plz give me an exactly version of all requirements to install Talos (I will be installed in anaconda envs). Thank you!
after run:
!python3.6 -m pip install -U talos
Everythings up-to-date:
then run:
import talos as ta
I got some errors somethings like this:
then I down grade of mathplotlib from 2.2.3 ==> 2.2.2 so this requirement with matplotlib should be <= 2.2.2 Solved!
import talos successful, but when I run training the easiest example, i got this error:
Solved: Closed all others, exit all running python, restart jupyter then run from beginning!
Running:
Hyperparameter Optimization with Keras for the Iris Prediction
Now it is running only very little on 1 GPU (on 4GPUs server), even I changed Batch_size from [2,3,4] to [200,300,400]How can I run 80~100% in all 4 GPUs?
after it finished 36/36, it produced error: 100%|██████████| 36/36 [01:10<00:00, 1.89s/it]
Solved! I edited
~/anaconda3/envs/TA/lib/python3.6/site-packages/talos/utils/string_cols_to_numeric.py
from:to:
I dont know why you all can run, but this way worked!