graph2tac converts graphs to tactics
-
standard linux c++ compiler build chain (tested on g++)
-
capnproto https://capnproto.org : need capnp proto compiler, the library and the headers. On Ubuntu you can install
capnproto
andlibcapnp-dev
. -
CUDA/GPU (optional, if you want to use GPU): please follow https://www.tensorflow.org/install to install on your system.
The python graph2tac
package can be installed with pip install
in a standard way from git repo (we aren't yet on pypi.org). For developers a recommended way is pip install -e .
from the cloned source repository which allows to develop directly on the source of the installed package. Our key (recommended/tested) pip dependencies are python>=3.9
, tensorflow>=2.8
and tensorflow-gnn>=0.2.0.dev1
.
- See
g2t-train --help
to train the model - See
g2t-train-tfgnn --help
to train the TF-GNN model - See
g2t-server --help
to launch the python server for evaluation