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A simple tool to show specified number of GPUs with desired memory to Tensorflow

Project description

Mask GPU

A simple tool to expose only specified number of GPUs with desired memory to Tensorflow (and a few more apps, read further). This tool queries GPU free memory values using nvidia-smi and assigns CUDA_VISIBLE_DEVICES environment variable based on the specified memory and number of GPUs to expose, to expose specific GPUs. Apps such as tensorflow-gpu use this information and utilize only the GPUs that are exposed. If your app does not make use of CUDA_VISIBLE_DEVICES, then this is probably not what you would need.

Dependencies

  • nvidia-smi

Installation

pip install mask-gpu

Quick Start

To show available GPUs info

mask-gpu --info
# Outputs the following
# Finding GPUs with a minimum of 1024MiB free memory...
# GPUs available: 6 -> [0, 1, 4, 5, 6, 7]

Simply run mask-gpu to expose 1 GPU (with a minimum of 1024MiB free memory)

`mask-gpu`
# Remember to wrap mask-gpu in ` symbol
# Or else mask-gpu will print the command
# and you will have to manually execute it

Specifying Options

By default mask-gpu seraches for GPUs with atleast 1024M free memory and allots 1 GPU

mask-gpu --info --min_memory 1024
# mask-gpu -i -m 1024                <--- Same as above
# Info does not execute any commands

`mask-gpu --expose 1 --min_memory 1024`
# `mask-gpu -e 3 -m 1024`            <--- Same as above
# Remember to wrap mask-gpu in ` symbol

You can specify your own options using the above as the template

Unmask all (Revert)

To unmask all GPUs, i.e, to revert to what it was before using mask-gpu

`mask-gpu --unmask-all`
# `mask-gpu -u`                      <--- Same as above
# Remember to wrap mask-gpu in ` symbol

NOTE: This command will clear CUDA_VISIBLE_DEVICES and hence it will be erased when executing the above command

Licence

The MIT License

Copyright (c) 2019 Saravanabalagi Ramachandran

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Project details


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