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gpu [2017/03/16 16:46] kocmanek [Performance tests] |
gpu [2017/03/16 17:00] kocmanek [How to use cluster] |
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| ===== How to use cluster ===== | ===== How to use cluster ===== | ||
| - | bla bla | + | In this section will be explained how to use cluster properly. Rule number one, always use the GPU queue (never log in machine by ssh). |
| + | ==== TensorFlow Environment ==== | ||
| + | |||
| + | Majority people at UFAL use TensorFlow. To start using it you need to create python virtual environment (virtualenv or use Anaconda for it). Into the environment you must place TensorFlow. The TF is either in CPU or GPU version. | ||
| + | |||
| + | pip install tensorflow | ||
| + | pip install tensorflow-gpu | ||
| + | | ||
| + | You can use prepared environment by adding into your ~/.bashrc | ||
| + | |||
| + | export PATH=/ | ||
| + | |||
| + | And then you can activate your environment: | ||
| + | |||
| + | source activate tf1 | ||
| + | source activate tf1cpu | ||
| + | |||
| + | This environment have TensorFlow 1.0 and all necessary requirements for NeuralMonkey. | ||
| + | |||
| + | ==== Using cluster ==== | ||
| ===== Performance tests ===== | ===== Performance tests ===== | ||