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Assuming I want a generic scatter plot drawn in TensorBoard that draws the 1st batch[:, 0], batch[:, 1] of every epoch.

How can that be done in TensorBoard?

An old similar question (2017 january) has a workaround, but I hope we now (2020 december) have the technology for a real solution.

Not enough is my attempt:

if self._current_epoch == 0:
    self.logger.experiment.add_scalars("epoch", {"batch": batch[:, 1]}, batch[:, 0])

Gives me the wonderful error

assert(scalar.squeeze().ndim == 0), 'scalar should be 0D'

Gulzar
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1 Answers1

1

If I understand your question right, you could use add_images, add_figure to add image or figure to tensorboard(docs).

Sample code:

from torch.utils.tensorboard import SummaryWriter
import numpy as np
import matplotlib.pyplot as plt

# create summary writer
writer = SummaryWriter('lightning_logs')

# write dummy image to tensorboard
img_batch = np.zeros((16, 3, 100, 100))
writer.add_images('my_image_batch', img_batch, 0)

# write dummy figure to tensorboard
plt.imshow(np.transpose(img_batch[0], [1, 2, 0]))
plt.title('example title')
writer.add_figure('my_figure_batch', plt.gcf(), 0)
writer.close()
hankyul2
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