| from torch.utils.tensorboard import SummaryWriter | |
| import numpy as np | |
| np.random.seed(20200910) | |
| 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) |