写入函数：writer.add_scalar()

    1. from torch.utils.tensorboard import SummaryWriter
    3. writer = SummaryWriter('logs')
    5. for i in range(100):
    6.     writer.add_scalar('y=2x',2*i,i)
    8. writer.close()

    写入图片：writer.add_image()

    1. from torch.utils.tensorboard import SummaryWriter
    2. from PIL import  Image
    3. import numpy as np
    5. writer = SummaryWriter('logs')
    7. img_path = 'data/dataset/train/bees/16838648_415acd9e3f.jpg'  #读取图片路径
    8. img_PIL = Image.open(img_path)   #用PIL格式打开
    9. img_array =np.array(img_PIL)   #用np转换成数组格式
    10. print(type(img_array))   #查看转换后的格式类型
    11. print(img_array.shape)   #查看图片尺寸和通道格式
    13. writer.add_image('train',img_array,2,dataformats='HWC')
    14. # img_tensor: Default is :math:`(3, H, W)
    15. # 上一步print(img_array.shape)查看图片为：(H, W, 3)
    16. # 官方给出的help中查看给出的example，加上dataformats='HWC'
    18. # for i in range(100):
    19. #     writer.add_scalar('y=2x',2*i,i)
    21. writer.close()

    命令行窗口键入 tensorboard —logdir=logs即可查看