TensorBoard provides great visualization tools to understand, debug, and optimize your code.
In Onepanel, you can use the built-in TensorBoard by saving your TensorFlow and Pytorch logs (using tensorboardx ) in the /onepanel/output directory.
You can then view your visualizations by clicking the "TensorBoard" button:
TensorFlow and Keras Example
import tensorflow as tf
# Log TensorBoard event files into `/onepanel/output`
tensorboard = tf.keras.callbacks.TensorBoard(log_dir='/onepanel/output', batch_size=32, write_images=True)
# Model code here...
See example code that you can run in Onepanel
Pytorch Example with TensorboardX
from tensorboardX import SummaryWriter
writer = SummaryWriter('/onepanel/output')
# Write Scalar to TensorBoard
writer.add_scalar('Train/Loss', loss, iteration)See example code that you can run in Onepanel