bhansconnect / alpha_zero_othello Goto Github PK
View Code? Open in Web Editor NEWA functional Alpha Zero that plays Othello using Keras
License: MIT License
A functional Alpha Zero that plays Othello using Keras
License: MIT License
As per the given instructions I'm running pip install -r requirements.txt
but after installing a bunch of stuff I'm getting this fatal error:
Collecting tensorflow-gpu==1.4.0 (from -r requirements.txt (line 21))
Could not find a version that satisfies the requirement tensorflow-gpu==1.4.0 (from -r requirements.txt (line 21)) (from versions: 0.12.0rc1, 0.12.0, 0.12.1, 1.0.0, 1.0.1, 1.1.0rc0, 1.1.0rc1, 1.1.0rc2, 1.1.0)
No matching distribution found for tensorflow-gpu==1.4.0 (from -r requirements.txt (line 21))
Unfortunately I have zero experience with tensorflow (or pip, for that matter). Is there an easy way to work around this?
When running
python run.py self
I get the error message
/home/jbp/miniconda3/envs/othello/lib/python3.5/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
from ._conv import register_converters as _register_converters
Using TensorFlow backend.
Loading new model: model_0
[------------------------------------------------------------] 0% 2018-04-12 17:56:12.384290: F tensorflow/core/kernels/conv_ops.cc:667] Check failed: stream->parent()->GetConvolveAlgorithms( conv_parameters.ShouldIncludeWinogradNonfusedAlgo<T>(), &algorithms)
Aborted (core dumped)
Was wondering whether you had bumped into that kind of issue ...
Thx for your contribution.
Here is the list of libraries I'm using.
# Name Version Build Channel
bleach 1.5.0 <pip>
bleach 1.5.0 py35_0
ca-certificates 2018.03.07 0
certifi 2018.1.18 py35_0
certifi 2017.11.5 <pip>
choix 0.3.0 <pip>
cudatoolkit 8.0 3
cudnn 7.0.5 cuda8.0_0
cycler 0.10.0 <pip>
enum34 1.1.6 <pip>
h5py 2.7.1 <pip>
html5lib 0.9999999 py35_0
html5lib 0.9999999 <pip>
intel-openmp 2018.0.0 8
Keras 2.1.2 <pip>
libedit 3.1 heed3624_0
libffi 3.2.1 hd88cf55_4
libgcc-ng 7.2.0 hdf63c60_3
libgfortran-ng 7.2.0 hdf63c60_3
libprotobuf 3.5.2 h6f1eeef_0
libstdcxx-ng 7.2.0 hdf63c60_3
markdown 2.6.11 py35_0
Markdown 2.6.11 <pip>
matplotlib 2.1.1 <pip>
mkl 2018.0.2 1
mkl_fft 1.0.1 py35h3010b51_0
mkl_random 1.0.1 py35h629b387_0
ncurses 6.0 h9df7e31_2
numpy 1.14.0 <pip>
numpy 1.14.2 py35hdbf6ddf_1
openssl 1.0.2o h20670df_0
pandas 0.22.0 <pip>
pip 9.0.3 py35_0
protobuf 3.5.1 <pip>
protobuf 3.5.2 py35hf484d3e_0
psutil 5.4.3 <pip>
pyparsing 2.2.0 <pip>
python 3.5.5 hc3d631a_1
python-dateutil 2.6.1 <pip>
pytz 2017.3 <pip>
PyYAML 3.12 <pip>
readline 7.0 ha6073c6_4
scipy 1.0.0 <pip>
setuptools 39.0.1 py35_0
six 1.11.0 py35h423b573_1
six 1.11.0 <pip>
sqlite 3.22.0 h1bed415_0
tensorflow-gpu 1.4.0 <pip>
tensorflow-gpu 1.4.1 0
tensorflow-gpu-base 1.4.1 py35h01caf0a_0
tensorflow-tensorboard 1.5.1 py35hf484d3e_0
tensorflow-tensorboard 0.4.0rc3 <pip>
tk 8.6.7 hc745277_3
werkzeug 0.14.1 py35_0
Werkzeug 0.14.1 <pip>
wheel 0.31.0 py35_0
wincertstore 0.2 <pip>
xz 5.2.3 h55aa19d_2
zlib 1.2.11 ha838bed_2
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