In the latest release (v1.1), PyTorch officially introduced the much-loved visualization tool, Tensorboard. Although it is an experimental version and might change in the near future, I think this is awesome.
Upgrade PyTorch version 1.0.x
pip install --upgrade torchInstall Tensorboard
pip install tb-nightlyThat’s it. You are good to go. Import the SummaryWriter and begin visualization :)
from torch.utils.tensorboard import SummaryWriter
writer = SummaryWriter(log_dir='./logs')# Track variables (e.g. loss, kld, etc.) that change
writer.add_scalar('KL Divergence', kl_div)
writer.add_scalar('Total Loss', loss)
writer.add_text('Decoder output', 'Some output')
To view the output, in terminal execute the following,
tensorboard --logdir=logsFire up your browser and point to http://127.0.0.1:6006
For details, check out the documentation.
