All computers should have python-virtualenv installed. If you need other version than the one provided with the system please use it to install it manually,
Computers in room 527
- CUDA: 10.1
- OpenCL: 1x OpenCL 1.2 CUDA/1x Intel OpenCL 1.2 (build 8)
- Python 2.7 and Python 3.6
- h5py (2.7.1)
- Keras (2.1.3)
- numpy (1.14.0)
- Pillow (5.0.0)
- pycuda (2017.1.1)
- pyopencl (2018.1)
- scipy (0.19.1)
- tensorflow (2.1.0) - WITH GPU SUPPORT
- Theano (1.0.1)
APL09 and APL10
- CUDA: 9.1
- OpenCL: 2x OpenCL 1.1 CUDA
- Python 2.7 i Python 3.4
- h5py (2.7.0)
- Keras (2.0.5)
- numpy (1.14.0)
- Pillow (4.1.1)
- pycuda (2017.1)
- pyopencl (2017.1.1)
- scipy (0.19.1)
- tensorflow (1.5.0) - CPU ONLY
- Theano (0.9.0)
APL11
- scl enable devtoolset-7 bash - dla GCC 7
- CUDA: 9.1 (z libcudnn.so w wersji 7)
- OpenCL: 2x OpenCL 1.2 CUDA/1x OpenCL 1.1 (Build 31360.31426)
- Python 2.7 i Python 3.4
- Keras (2.0.5)
- numba (0.33.0)
- h5py (2.7.0)
- Keras (2.0.5)
- numpy (1.14.0)
- Pillow (4.1.1)
- pycuda (2017.1)
- pyopencl (2017.1.1)
- scipy (0.19.1)
- tensorflow (1.5.0) - WITH GPU SUPPORT
- Theano (0.9.0)
APL12
- scl enable devtoolset-3 bash/scl enable devtoolset-4 bash
- OpenCL: 3x OpenCL 1.2 (Build 8)
- Python 2.7 - scl enable python27 bash
- h5py (2.7.0)
- Keras (2.0.5)
- numpy (1.14.0)
- pyopencl (2017.1.1)
- scipy (0.19.1)
- tensorflow (1.5.0) - CPU ONLY
- Theano (0.9.0)
- Python 3.4 - available directly
- h5py (2.7.0)
- Keras (2.0.5)
- numpy (1.14.0)
- pyopencl (2017.1.1)
- scipy (0.19.1)
- tensorflow (1.5.0) - CPU ONLY
- Theano (0.9.0)
