Database setup and reset¶
Set up database for Auptimizer¶
Set up the database for Auptimizer based on the specified environment ini file.
It is called automatically when user sets up the Auptimizer for the first time.
Use it to reset database to the original state.
Additional arguments¶
Usage: __main__.py [OPTIONS] ENV_FILE
Create Database for *Auptimizer* env.ini.
Arguments:
env_file {str}: Auptimizer environment file
Options:
--user TEXT username for history tracking
--cpu INTEGER number of CPUs to run parallel
--name TEXT resource name, not used
--log [debug|info|warn|error] Log level
-h, --help Show this message and exit.
/home/travis/virtualenv/python3.7.1/lib/python3.7/site-packages/scipy/__init__.py:137: UserWarning: NumPy 1.16.5 or above is required for this version of SciPy (detected version 1.16.4)
UserWarning)
/home/travis/virtualenv/python3.7.1/lib/python3.7/site-packages/torch/cuda/__init__.py:52: UserWarning: CUDA initialization: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx (Triggered internally at /pytorch/c10/cuda/CUDAFunctions.cpp:100.)
return torch._C._cuda_getDeviceCount() > 0
Reset database¶
Reset database without removing experiment history.
Additional arguments¶
Usage: reset.py [OPTIONS] ENV_FILE
Reset database defined in env.ini file, history remains.
Copyright (C) 2018 LG Electronics Inc.
GPL-3.0 License. This program comes with ABSOLUTELY NO WARRANTY;
Arguments: env_file {str}: Auptimizer environment file
Options:
-h, --help Show this message and exit.
/home/travis/virtualenv/python3.7.1/lib/python3.7/site-packages/scipy/__init__.py:137: UserWarning: NumPy 1.16.5 or above is required for this version of SciPy (detected version 1.16.4)
UserWarning)
/home/travis/virtualenv/python3.7.1/lib/python3.7/site-packages/torch/cuda/__init__.py:52: UserWarning: CUDA initialization: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx (Triggered internally at /pytorch/c10/cuda/CUDAFunctions.cpp:100.)
return torch._C._cuda_getDeviceCount() > 0