# mnist-slurm-demo

**Repository Path**: cubeml-io/mnist-slurm-demo

## Basic Information

- **Project Name**: mnist-slurm-demo
- **Description**: slurm测试脚本
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-03-12
- **Last Updated**: 2024-03-12

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Slurm


## 安装python环境
```sh
cd mnist-slurm-demo/conda-env

#修改SBATCH 参数,-N 节点数,尽量设置当前最大节点数，使得每个节点都能安装

sbatch conda-env-create.sh

# 查看安装日志
tail -f conda-env.log  
```

##提交作业
```sh
#按需修改参数

cd mnist-slurm-demo

#提交作业
sbatch mnist-job.sh             # This command submits the job.

#查询作业状态
scontrl show job job_id

# 取消作业
scancel job job_id

#查询日志
tail -f mnist.log

```


## Example batch script

``` sh
#!/bin/bash
#SBATCH --time 10          # time in minutes to reserve
#SBATCH --cpus-per-task 2  # number of cpu cores
#SBATCH --mem 4G           # memory pool for all cores
#SBATCH --gres gpu:1       # number of gpu cores
#SBATCH  -o mnist.log      # write output to log file

# Run jobs using the srun command.
srun -l python mnist.py
```

# Useful commands

See the [documentation](https://slurm.schedmd.com) for more
information.

## Submitting jobs

``` sh
sbatch mnist-job.sh
```

## Show information about a running job

Replace `<n>` below with your job id.

``` sh
sstat <n>
```

## Show information about all submitted jobs

``` sh
sacct
```

## Show specific information about a job

``` sh
sacct --units G --format=jobid,avecpu,alloccpus,avevmsize -j <n>
```

## Get an interactive shell on a compute node

``` sh
srun --gres gpu:1 --pty bash
```

Logging into the compute node is useful for debugging the environment.
=======
# mnist-slurm-demo