Guide: Run your experiment with the QatComputer¶
QatComputer is an internal tool to the Docker image who aim to run your program directly inside the container.
Start the container¶
docker run -d --rm --privileged --cgroupns=host \
--name qatcomputer \
-v /sys/fs/cgroup:/sys/fs/cgroup:rw \
-v my_conf_folder:/etc/qat-computer/conf \
-v my_super_project:/etc/qat-computer/compute \
mickahell/qatcomputer:latest
In order to the tool works correctly you need : - (Optional) Be in priviledge mode and host network mode - (Optional) Link your cgroup - (Optional) Link your project conf - Link your project to the compute folder inside the image
Run your program¶
Last step to run your experiment
docker exec --tty qatcomputer \
qat-computer compute -conf=conf.yaml
Configuration¶
Parameters can be given as docker extra parameters. A configuration file is also available with every parameters :
# log
## 0 : Informational
## 1 : Warning
## 2 : Error --> Always
## 3 : Critical --> Always
loglevel: 0 # Optionnal
debian_packages: # Optionnal
- "jq"
python_version: "python3.10" # Optionnal
compute_path: "simple_python_repository" # Path inside the compute folder
filename_to_execute: "main.py"
requirements_file: "requirements.txt" # Optionnal
References¶
Helper of the main endpoint :
Usage: qat-computer [OPTIONS] argument ...
-conf string
Path for the configuration yaml file.
The configuration file can contains any options presented.
-os-version
print os version.
-qiskit-version
print qiskit version.
-show-config
print config.
-version
print version.
Sub-commands available :
compute
Helper of the compute endpoint :
Usage of compute:
-compute string
Path of the project to compute.
-conf string
Path for the configuration yaml file.
The configuration file can contains any options presented.
-debian-pkg string
List of debian package to install.
-file_exe string
Name of the file to compute the project. (default "main.py")
-log-level int
level of log to print :
0 : Informational (default value)
1 : Warning
2 : Error --> Always shown
3 : Critical --> Always shown
-python-version string
Version of python to use. (default "python3")
-requirements string
Name of the requirements file to setup the project.