Deprecated: Use of this version of TensorFlow-Large-Model-Support is deprecated. More information on our Applications Support and Retention Policy.This library provides an approach to training large models that cannot be fit into GPU memory. It takes a computational graph defined by users, and automatically adds swap-in and swap-out nodes for transferring tensors from GPUs to the host and vice versa. The computational graph is statically modified. Hence, it needs to be done before a session actually starts.
Accessing TensorFlow-Large-Model-Support 0.1.0-foss-2019a-Python-3.7.2
To load the module for TensorFlow-Large-Model-Support 0.1.0-foss-2019a-Python-3.7.2 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load TensorFlow-Large-Model-Support/0.1.0-foss-2019a-Python-3.7.2
There is a GPU enabled version of this module: TensorFlow-Large-Model-Support 0.1.0-fosscuda-2019a-Python-3.7.2
BEAR Apps Version
- toposort 1.5
For more information visit the TensorFlow-Large-Model-Support website.
This version of TensorFlow-Large-Model-Support has a direct dependency on: foss/2019a Python/3.7.2-GCCcore-8.2.0 TensorFlow/1.13.1-foss-2019a-Python-3.7.2
These versions of TensorFlow-Large-Model-Support are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.
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Last modified on 30th July 2019