e8b014cca88e153f3df231bedce85fbe53d967b5,demo_embedding.py,,,#,4

Before Change

import keyword
import torch
meta = []
for i in range(10):
    meta = meta+keyword.kwlist
meta = meta[:100]

for i, v in enumerate(meta):
    meta[i] = v+str(i)

After Change

add_embedding(torch.randn(100, 5), save_path="embedding1", metadata=meta, label_img=label_img)
add_embedding(torch.randn(100, 5), save_path="embedding2", label_img=label_img)
add_embedding(torch.randn(100, 5), save_path="embedding3", metadata=meta)

//tensorboard --logdir embedding1

Instances