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The project contains everything that is needed to build conda packages for a collection of machine learning and deep learning frameworks.
| Environment | opence-v1.3.1 | opence-v1.2.2 | opence-v1.1.2 | opence-v1.0.0 |
|---|
| python | 3.8.0 | 3.8.0 | 3.8. |
01111022111022104804804| 5 |
| nccl | 2.8.3 | 2.7.8 | 2.7.8 | 2.7.8 |
| openmpi | 4.1.1 | 3.1.3 | 3.1.3 |
N/A0.14| 6 | 1.10.4 | 1.10.4 |
| horovod | 0.21.3 | 0.21.0 | 0.21.0 |
N/A27N/A2| 3 | 3.4.3 | 3.4.2 |
| mpi4py | 3.1.1 | N/A | N/A | N/A |
| numpy | 1.21.2 | 1.19. |
22| 5 | 1.19.2 |
| onnx | 1.7.0 | 1.6.0 | 1.6.0 | 1.6.0 |
| opencv | 3.4.14 |
N/AN/A2N/A| .4 |
| pytorch | 1.8.1 | 1.7.1 | 1.7.1 | 1. |
71N/AN/A| 1.0.1 |
| scipy | 1.7.1 | 1.7.1 | 1.4.1 | 1.4.1 |
| tensorflow | 2.5.1 | 2.4.1 | 2.4.1 | 2. |
4| 3.1 |
| tensorboard | 2.5.0 | 2.4.1 | 2.4.1 | 2. |
4135351N/AWMLCE is an enterprise software distribution that combines popular open-source deep learning frameworks, efficient AI development tools, and accelerated IBM Power Systems servers. It includes the following frameworks:
| Environment | wmlce/1.7.0 | wmlce/1.6.2 |
|---|
| python | 3.7.10 | 3.7.10 |
| cuda | 10.2.89 | 10.1.243 |
| cudnn | 7.6.5 | 7.6.3 |
| nccl | 2.5.6 | 2.4.8 |
| apex | 0.1.0 | 0.1.0 |
| caffe | 1.0 | 1.0 |
| dask | 2.9.2 | 2.3.0 |
| hdf5 | 1.10.2 | 1.10.2 |
| horovod | 0.19.0 | N/A |
| ipython | 7.26.0 | 7.26.0 |
| matplotlib | 3.3.4 | 3.3.4 |
| numba | 0.47.0 | 0.45.1 |
| numpy | 1.17.4 | 1.16.6 |
| onnx | 1.6.0 | 1.5.0 |
| pandas | 1.2.4 | 1.2.4 |
| pytorch | 1.2.4 | 1.2.0 |
| scikit-learn | 0.24.2 | 0.22.1 |
| scipy | 1.3.1 | 1.3.1 |
| spectrum-mpi | 10.03 | 10.03 |
| tensorboard | 2.1.1 | 1.15.0 |
| tensorflow | 2.1.3 | 1.15.5 |