def write_slurm_sh(id, command_line, queue_name='learnfair', nodes=1, gpu_per_node=8, wall_time=((3 * 24) * 60), username='wang3702', CPU_PER_GPU=10):
    '\n    Args:\n        id: running id\n        command_line: command line\n        outlog_path: saving path\n    Returns:\n\n    '
    import time
    import datetime
    today = datetime.date.today()
    formatted_today = today.strftime('%y%m%d')
    now = time.strftime('%H:%M:%S')
    dependency_handler_path = os.path.join(os.getcwd(), 'ops')
    dependency_handler_path = os.path.join(dependency_handler_path, 'handler.txt')
    run_path = os.path.join(os.getcwd(), 'log')
    mkdir(run_path)
    run_path = os.path.abspath(run_path)
    batch_file = os.path.join(run_path, (('slurm_job_' + str(id)) + '.sh'))
    output_path = os.path.join(run_path, (((('output_' + str(id)) + '_') + str((formatted_today + now))) + '.log'))
    error_path = os.path.join(run_path, (((('error_' + str(id)) + '_') + str((formatted_today + now))) + '.log'))
    with open(batch_file, 'w') as file:
        file.write('#!/bin/sh\n')
        file.write(('#SBATCH --job-name=%s\n' % id))
        file.write(('#SBATCH --output=%s\n' % output_path))
        file.write(('#SBATCH --error=%s\n' % error_path))
        file.write(('#SBATCH --partition=%s\n' % queue_name))
        file.write('#SBATCH --signal=USR1@600\n')
        file.write(('#SBATCH --nodes=%d\n' % nodes))
        file.write('#SBATCH --ntasks-per-node=1\n')
        file.write('#SBATCH --mem=350G\n')
        file.write(('#SBATCH --gpus=%d\n' % (nodes * gpu_per_node)))
        file.write(('#SBATCH --gpus-per-node=%d\n' % gpu_per_node))
        file.write(('#SBATCH --cpus-per-task=%d\n' % (CPU_PER_GPU * gpu_per_node)))
        file.write(('#SBATCH --time=%d\n' % wall_time))
        file.write(('#SBATCH --mail-user=%s@fb.com\n' % username))
        file.write('#SBATCH --mail-type=FAIL\n')
        file.write('#SBATCH --mail-type=end \n')
        file.write('#SBATCH --constraint="volta"\n')
        report_info = ('%s job failed; \t' % id)
        report_info += ('log path: %s; \t' % output_path)
        report_info += ('error record path: %s\t' % error_path)
        report_info += ('command line path: %s\t' % batch_file)
        file.write(('#SBATCH --comment="%s"\n' % report_info))
        with open(dependency_handler_path, 'r') as rfile:
            line = rfile.readline()
            while line:
                file.write(line)
                line = rfile.readline()
        file.write('module load cuda/10.2 cudnn/v7.6.5.32-cuda.10.2 gcc/7.3.0\n')
        file.write('/private/home/wang3702/anaconda3/bin/conda init\n')
        file.write('CONDA_BASE=$(conda info --base) ; source $CONDA_BASE/etc/profile.d/conda.sh\n')
        file.write('conda activate pytorch2\n')
        file.write((command_line + ' &\n'))
        file.write('wait $!\n')
        file.write('set +x \n')
        file.write('echo ..::Job Finished, but No, AGI is to BE Solved::.. \n')
    os.system(('sbatch ' + batch_file))
Args:
    id: running id
    command_line: command line
    outlog_path: saving path
Returns:
def write_slurm_sh(id, command_line, queue_name='learnfair', nodes=1, gpu_per_node=8, wall_time=((3 * 24) * 60), username='wang3702', CPU_PER_GPU=10):
    '\n    Args:\n        id: running id\n        command_line: command line\n        outlog_path: saving path\n    Returns:\n\n    '
    import time
    import datetime
    today = datetime.date.today()
    formatted_today = today.strftime('%y%m%d')
    now = time.strftime('%H:%M:%S')
    dependency_handler_path = os.path.join(os.getcwd(), 'ops')
    dependency_handler_path = os.path.join(dependency_handler_path, 'handler.txt')
    run_path = os.path.join(os.getcwd(), 'log')
    mkdir(run_path)
    run_path = os.path.abspath(run_path)
    batch_file = os.path.join(run_path, (('slurm_job_' + str(id)) + '.sh'))
    output_path = os.path.join(run_path, (((('output_' + str(id)) + '_') + str((formatted_today + now))) + '.log'))
    error_path = os.path.join(run_path, (((('error_' + str(id)) + '_') + str((formatted_today + now))) + '.log'))
    with open(batch_file, 'w') as file:
        file.write('#!/bin/sh\n')
        file.write(('#SBATCH --job-name=%s\n' % id))
        file.write(('#SBATCH --output=%s\n' % output_path))
        file.write(('#SBATCH --error=%s\n' % error_path))
        file.write(('#SBATCH --partition=%s\n' % queue_name))
        file.write('#SBATCH --signal=USR1@600\n')
        file.write(('#SBATCH --nodes=%d\n' % nodes))
        file.write('#SBATCH --ntasks-per-node=1\n')
        file.write('#SBATCH --mem=350G\n')
        file.write(('#SBATCH --gpus=%d\n' % (nodes * gpu_per_node)))
        file.write(('#SBATCH --gpus-per-node=%d\n' % gpu_per_node))
        file.write(('#SBATCH --cpus-per-task=%d\n' % (CPU_PER_GPU * gpu_per_node)))
        file.write(('#SBATCH --time=%d\n' % wall_time))
        file.write(('#SBATCH --mail-user=%s@fb.com\n' % username))
        file.write('#SBATCH --mail-type=FAIL\n')
        file.write('#SBATCH --mail-type=end \n')
        file.write('#SBATCH --constraint="volta"\n')
        report_info = ('%s job failed; \t' % id)
        report_info += ('log path: %s; \t' % output_path)
        report_info += ('error record path: %s\t' % error_path)
        report_info += ('command line path: %s\t' % batch_file)
        file.write(('#SBATCH --comment="%s"\n' % report_info))
        with open(dependency_handler_path, 'r') as rfile:
            line = rfile.readline()
            while line:
                file.write(line)
                line = rfile.readline()
        file.write('module load cuda/10.2 cudnn/v7.6.5.32-cuda.10.2 gcc/7.3.0\n')
        file.write('/private/home/wang3702/anaconda3/bin/conda init\n')
        file.write('CONDA_BASE=$(conda info --base) ; source $CONDA_BASE/etc/profile.d/conda.sh\n')
        file.write('conda activate pytorch2\n')
        file.write((command_line + ' &\n'))
        file.write('wait $!\n')
        file.write('set +x \n')
        file.write('echo ..::Job Finished, but No, AGI is to BE Solved::.. \n')
    os.system(('sbatch ' + batch_file))