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See Getting started with Open Cognitive Environment (OpenCE, former WMLCE) for the latest software stack. |
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IBM Watson Machine Learning Community Edition (WMLCE-1.7.0, WMLCE-1.6.2)
WMLCE 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:
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module load wmlce/1.6.1-py2.7 # for python2 environment2 module load wmlce/1.6.1-py3.6 # for python3 environment module load wmlce # python3 environment by default7.0 |
Install samples for Caffe:
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module load wmlce/1.6.1-py2.7 # for python2 environment2 module load wmlce/1.6.1-py3.6 # for python3 environment module load wmlce # python3 environment by default7.0 |
Install samples for Caffe2:
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module load wmlce/1.6.1-py2.7 # for python2 environment2 module load wmlce/1.6.1-py3.6 # for python3 environment module load wmlce # python3 environment by default7.0 |
Copy the following code into file "mnist-demo.py":
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module load wmlce/1.6.1-py2.7 # for python2 environment2 module load wmlce/1.6.1-py3.6 # for python3 environment module load wmlce # python3 environment by default7.0 |
Download the code mnist-with-summaries.py to $HOME folder:
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After job completed the TensorFlow log files can be found in "~/tensorflow/mnist/logs", start the TensorBoard server on login node:
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module load wmlce
tensorboard --logdir ~/tensorflow/mnist/logs/ --port <user_pick_port> # please use random number within [6500-6999] |
Forward the <user_pick_port> on remote machine to the port <user_pick_port> on local machine:
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ssh -L <user_pick_port>:<node_name>:<user_pick_port> <user_name>@hal.ncsa.illinois.edu |
Paste the following address into a web browser to start the TensorBoard session:
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localhost:<user_pick_port> |
hal-ondemand, detail refers Getting started with HAL OnDemand.
Simple Example with Pytorch
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module load wmlce/1.6.1-py2.7 # for python2 environment2 module load wmlce/1.6.1-py3.6 # for python3 environment module load wmlce # python3 environment by default7.0 |
Install samples for Pytorch:
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