(进阶)AWS DeepRacer获取log-001

• 如何获取log
• 一个打印log的代码示例
• 下载log
• training log 文件结构
• • 自定义log位置
  • 自定义log内容
• evaluation log文件结构

在reward_function 中通过print可以将params入口参数打印到log中，然后通过控制台Download logs可以获取自定义的log格式

def reward_function(params):
    '''
    Env: re:Invent 2018
    '''
    x = params['x']
    y = params['y']
    next_waypoints=params['closest_waypoints'][1]
    is_crashed=params['is_crashed']
    is_left_of_center=params['is_left_of_center']
    is_offtrack=params['is_offtrack']
    is_reversed=params['is_reversed']
    heading=params['heading']
    progress=params['progress']
    steering_angle=params['steering_angle']
    steps=params['steps']
    track_length=params['track_length']
    waypoints=params['waypoints']
    track_width = params['track_width']
    distance_from_center = params['distance_from_center']
    all_wheels_on_track = params['all_wheels_on_track']
    speed = params['speed']
    abs_steering = abs(params['steering_angle'])
    reward = 1.0
    
    def printLog():
        print('reward_constant_Log,{track_length},{waypoints}'.format(track_length=track_length,waypoints=waypoints))
        print('''reward_var_Log,{steps},{next_waypoints},{x},{y},{all_wheels_on_track},{speed},{reward},{distance_from_center},{progress},{steering_angle},{heading},{track_width},{is_offtrack},{is_crashed},{is_left_of_center},{is_reversed}'''.format(
        steps=steps,
        next_waypoints=next_waypoints,
        x=x,
        y=y,
        all_wheels_on_track=all_wheels_on_track,
        speed=speed,
        reward=reward,
        distance_from_center=distance_from_center,
        progress=progress,
        steering_angle=steering_angle,
        heading=heading,
        track_width=track_width,
        is_offtrack=is_offtrack,
        is_crashed=is_crashed,
        is_left_of_center=is_left_of_center,
        is_reversed=is_reversed
        ))

    printLog()
    
    return float(reward)

下载下来的log 是

'{modelName}-training_job_xxxx_logs.tar.gz'

以下是解压后log文件结构，以及每个文件夹下文件记录的数据的来源，此处只做最简单的介绍后期日志分析时再做进一步深入探究。

│  2018-getlog-training_job_SS2xzf4LQgmyiUdiaAhPNw_logs.tar.gz
│  GetLog.py
│  getLogExample.py
│
└─29e9138b-9fd9-4f01-8952-a4d4dd7a02b8
    ├─logs                                        # logs下为训练过程日志
    │  └─training
    │          training-20211009172232-SS2xzf4LQgmyiUdiaAhPNw-sagemaker.log
    │          training-20211009172233-SS2xzf4LQgmyiUdiaAhPNw-robomaker.log     # 自定义的日志将放在这里
    │
    ├─metrics                              # metrics下为训练过程指标
    │  └─training
    │          training-20211009164204-SS2xzf4LQgmyiUdiaAhPNw.json
    │
    └─sim-trace                         # sim-trace下为每个iteration下的trace以及对应reward的记录
        └─training
            └─training-simtrace
                    0-iteration.csv
                    1-iteration.csv
                    10-iteration.csv
                    11-iteration.csv
                    12-iteration.csv
                    2-iteration.csv
                    3-iteration.csv
                    4-iteration.csv
                    5-iteration.csv
                    6-iteration.csv
                    7-iteration.csv
                    8-iteration.csv
                    9-iteration.csv

下一篇文章将会对这个log提取之后进行深入分析