tensorflow / tensorflow/tensorboard
tensorboard line stops at some step
Nobody has claimed this yet.
- Dominant language
- TypeScript
- Stars
- 7.2k
- Forks
- 1.7k
- Avg merge
- 4d 22h
- Merged PRs (30d)
- 1
Description
As this stackoverflow question poses: https://stackoverflow.com/questions/79124499/tensorboard-line-stops-at-some-step
The blue curve stuck at step 152 while other curves showed up. Any possible cause for this to happen?
I am using pytorch with tensor board. The code looks like this:
tb_writer.add_scalars(
main_tag="Train/{}CacheRates".format(name),
tag_scalar_dict={
"HR": hr,
"#AdmitsRate": (
(
admit_action.sum(dim=1).float()+1
) / (
mask.sum(dim=1).float()+1
)
).mean(),
"AskedToPrefetchRate": (
(
is_prefech.sum(dim=1)+1
).float() / (
num_items.float()+1
)
).mean(),
"PrefetchGiveupRate": (
(
(is_prefech * (prefetch_action == 0).long()).sum(dim=1)+1
).float() / (
is_prefech.sum(dim=1)+1
).float()
).mean()
},
global_step=run_step,
)
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the linked Stack Overflow question and reproduce the behavior using the shown PyTorch TensorBoard add_scalars call, especially around global_step 152. Compare the logged scalar series and TensorBoard display at that step; done means identifying a reproducible cause or documenting the missing information needed to diagnose it.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- data-visualization
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100