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Welcome to the OpenCE project. The project contains everything that is needed to build conda packages for a collection of machine learning and deep learning frameworks. All packages created for a specific version of OpenCE have been designed to be installed within a single conda environment.

Environmentopence-v1.3.1opence-v1.2.2opence-v1.1.2opence-v1.0.0
python3.8.03.8.03.8.123.8.12
cuda11.2.211.0.22110.2.8910.2.89
cudnn8.1.18.1.17.6.57.6.5
nccl2.8.32.7.82.7.82.7.8
openmpi4.1.13.1.33.1.33.1.3
apex0.1N/AN/AN/A
hdf51.10.41.10.61.10.41.10.4
horovod0.21.30.21.00.21.00.19.5
ipython7.27.07.29.07.29.07.28.0
matplotlib3.4.33.4.33.4.33.4.2
mpi4py3.1.1N/AN/AN/A
numpy1.21.21.19.51.19.51.19.2
onnx1.7.01.6.01.6.01.6.0
opencv3.4.144.5.03.4.103.4.10
pandas1.3.21.3.41.3.41.2.4
pytorch1.8.11.7.11.7.11.6.0
scikit-learn0.24.21.0.11.0.11.0.1
scipy1.7.11.7.11.4.11.4.1
tensorflow2.5.12.4.12.4.12.3.1
tensorboard2.5.02.4.12.4.12.3.0
transformers4.4.22.1.14.12.24.12.2

Simple Example with TensorFlow

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Once on the compute node, load PowerAI module using one of these:

Code Block
module load wmlce/1.6.2opence
module load wmlce/1.7.0opence-v1.3.1

Download the code mnist-with-summaries.py to $HOME folder:

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Once on the compute node, load PowerAI module using one of these:

Code Block
module load wmlce/1.6.2opence
module load wmlce/1.7.0opence-v1.3.1

Install samples for Pytorch:

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