how to run tensorboard?

This can then be visualized with TensorBoard, which should be installable and runnable with:

pip install tensorboard
tensorboard --logdir=runs

For training and testing loss, which should be installable and runnable with:

from torch.utils.tensorboard import SummaryWriter
import numpy as np

writer = SummaryWriter()

for n_iter in range(100):
    writer.add_scalar('Loss/train', np.random.random(), n_iter)
    writer.add_scalar('Loss/test', np.random.random(), n_iter)
    writer.add_scalar('Accuracy/train', np.random.random(), n_iter)
    writer.add_scalar('Accuracy/test', np.random.random(), n_iter)

writer.close() 

In order to merge multiple loss into one graph, which should be installable and runnable with:

from torch.utils.tensorboard import SummaryWriter
import numpy as np

writer = SummaryWriter()

for n_iter in range(10000):
    writer.add_scalars('data/scalar_group', {'loss': n_iter*np.arctan(n_iter)}, n_iter)
    if n_iter%1000==0:
        writer.add_scalars('data/scalar_group', {'top1': n_iter*np.sin(n_iter)}, n_iter)
        writer.add_scalars('data/scalar_group', {'top5': n_iter*np.cos(n_iter)}, n_iter) 

writer.close()