** IMPORTANT: This repository is in archive mode meaning that it is read only and will not undergo further changes. All further development will be done on REINVENT 4. **
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Install Conda
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Clone this Git repository
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Open a shell, and go to the repository and create the Conda environment:
$ conda env create -f reinvent.yml -
Activate the environment:
$ conda activate reinvent.v3.2 -
Use the tool.
- Python 3.7
- Cuda-enabled GPU
REINVENThas been tested on Linux
There is another repository containing useful jupyter notebooks related to REINVENT
called ReinventCommunity. Note, that it uses a
different conda environment to execute, so you have to set up a separate environment.
For concrete examples, you can check out the Jupyter notebook examples in the ReinventCommunity repo.
Running each example will result in a template file.There are templates for many running modes.
Each running mode can be executed by python input.py some_running_mode.json after activating the environment.
Templates can be manually edited before using. The only thing that needs modification for a standard run are the file
and folder paths. Most running modes produce logs that can be monitored by tensorboard.
The REINVENT project uses the unittest framework for its tests; before you run them you first have to create a
configuration, which the tests will use. In the project directory, create a config.json file in the configs/ directory;
you can use the example config (example.config.json) as a base. The simplest way is to make a copy of the example.config.json
and name it config.json. At this point, REINVENT can be executed. If you want to further run the unit tests, relevant paths
will need to be specified in your 'config.json' file, e.g, if testing reinforcement learning, the corresponding unit tests
will require a prior: specify the path to the prior in the "PRIOR_PATH" field.
Important: Make sure that you set MAIN_TEST_PATH to a non-existent directory; it is where temporary files will be
written during the tests; if it is set to an existing directory, that directory will be removed once the tests have finished.
Some tests require a proprietary OpenEye license; you have to set up a few things to make the tests read your
license. The simple way is to just set the OE_LICENSE environment variable to the path of the file containing the
license. If you just want to set the license in the reinvent_scoring Conda environment, it is a bit more complicated,
but you only have to do it once.
(reinvent-scoring) $ cd $CONDA_PREFIX
$ mkdir -p etc/conda/activate.d
$ mkdir -p etc/conda/deactivate.d
Put the following in etc/conda/activate.d/env_vars.sh.
#!/bin/sh
export OE_LICENSE='</path/to/your/oe_license/file>'
And put the following in etc/conda/deactivate.d/env_vars.sh.
#!/bin/sh
unset OE_LICENSE
Once you have created the files, deactivate and re-activate the environment, and echo $OE_LICENSE should output the
path to the license file.
Once you have a configuration and your license can be read, you can run the tests.
$ python main_test.py