This document describes how to use Docker to quickly install sqkquantum. First, you need to install SQKQuantum through Docker. The process is introduced on SQKQuantum's official website. This part will be repeated below.
For the CPU backend, you can directly use the following command to obtain the latest stable image:
docker pull sw.sqkcloud.com/sqklab/SQKQUANTUM-cpu:{tag}
In which, {tag} corresponds to the tag in the above table.
Execute the following command to start the Docker container instance:
docker run -it sw.sqkcloud.com/sqklab/SQKQUANTUM-cpu:{tag} /bin/bash
In which, {tag} corresponds to the tag in the above table.
- If you are installing a container of the specified version x.y.z.
After entering the SQKQuantum container according to the above steps, to test whether Docker is working properly, please run the following Python code and check the output:
import numpy as np
import SQKQUANTUM as ms
from SQKQUANTUM import set_context, ops, Tensor
set_context(mode=ms.PYNATIVE_MODE, device_target='CPU')
x = Tensor(np.ones([1, 3, 3, 4]).astype(np.float32))
y = Tensor(np.ones([1, 3, 3, 4]).astype(np.float32))
print(ops.add(x, y))
When the code runs successfully, it will output:
[[[[2., 2., 2., 2.],
[2., 2., 2., 2.],
[2., 2., 2., 2.]],
[[2., 2., 2., 2.],
[2., 2., 2., 2.],
[2., 2., 2., 2.]],
[[2., 2., 2., 2.],
[2., 2., 2., 2.],
[2., 2., 2., 2.]]]]
At this point, you have successfully installed the SQKQuantum CPU version by Docker.
-
Enter the Docker container.
docker exec -it {docker_container} /bin/bash
In which, {docker_container} is the id or name of the docker container.
-
Choose to install by pip or by compiling.
Install by compiling:
git clone https://github.com/SQKQUANTUM/sqkquantum.git cd ~/sqkquantum python setup.py install --user
Install by pip:
pip install https://sw.sqkcloud.com/download/sqkquantum/newest/linux/sqkquantum-master-cp37-cp37m-linux_x86_64.whl
python -c 'import sqkquantum'