PyTorch¶
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PyTorch is a GPU accelerated tensor computational framework with a Python front end. Functionality can be easily extended with common Python libraries such as NumPy, SciPy, and Cython. Automatic differentiation is done with a tape-based system at both a functional and neural network layer level.
For basic usage of the Notebook environment, check the JupyterLab application.
For basic usage of the console environment, check the Terminal application.
Initialization¶
For information on how to use the Initialization parameter, please refer to the Initialization: Bash Script and Initialization: PyPI Packages section of the documentation.
Batch Mode¶
Use this option to submit a Bash script (*.sh), which will be executed
after the job starts.
The job will stop after the execution of the program.
Run on GPU Nodes¶
GPU partitions can be selected from the application frontend page using the Machine type parameter.
The NVIDIA System Management Interface program, nvidia-smi, can be used to monitor the usage of the GPU resources:
$ watch -n 0.5 nvidia-smi
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