pytorch - ImportError: TensorBoard logging requires ...
stackoverflow.com › questions › 63357718Aug 11, 2020 · #from torch.utils.tensorboard import SummaryWriter from tensorboardX import SummaryWriter writer = SummaryWriter('runs/fashion_mnist_experiment_1') #get some random training images dataiter = iter(trainloader) images , labels = dataiter.next() #create grid of images img_grid = torchvision.utils.make_grid(images) matplotlib_imshow(img_grid,one_channel=True) writer.add_image('four_fashion_images',img_grid) writer.add_graph(net, images) writer.close()
tensorboardX — tensorboardX documentation
tensorboardx.readthedocs.io › tensorboardfrom tensorboardX import SummaryWriter import numpy as np img_batch = np. zeros ((16, 3, 100, 100)) for i in range (16): img_batch [i, 0] = np. arange (0, 10000). reshape (100, 100) / 10000 / 16 * i img_batch [i, 1] = (1-np. arange (0, 10000). reshape (100, 100) / 10000) / 16 * i writer = SummaryWriter writer. add_images ('my_image_batch', img_batch, 0) writer. close ()
PyTorch使用tensorboardX - 知乎
https://zhuanlan.zhihu.com/p/35675109pip install tensorboardX 2.调用 from tensorboardX import SummaryWriter writer = SummaryWriter ('log') writer就相当于一个日志,保存你要做图的所有信息。 第二句就是在你的项目目录下建立一个文件夹log,存放画图用的文件。 刚开始的时候是空的。 训练的循环中,每次写入 图像名称, loss数值 , n_iteration writer.add_scalar ('Train/Loss', loss.data [0], niter) 验证 …
Tutorials — tensorboardX documentation
tensorboardx.readthedocs.io › en › latestCreate a summary writer ¶. Before logging anything, we need to create a writer instance. This can be done with: from tensorboardX import SummaryWriter #SummaryWriter encapsulates everything writer = SummaryWriter('runs/exp-1') #creates writer object. The log will be saved in 'runs/exp-1' writer2 = SummaryWriter() #creates writer2 object with auto generated file name, the dir will be something like 'runs/Aug20-17-20-33' writer3 = SummaryWriter(comment='3x learning rate') #creates writer3 ...