# Logged value available in graph panel, but not in columns

**URL:** <https://community.wandb.ai/t/logged-value-available-in-graph-panel-but-not-in-columns/2100>\
**Category:** W&B Help\
**Created:** [March 17, 2022, 9:28am UTC](https://community.wandb.ai/t/logged-value-available-in-graph-panel-but-not-in-columns/2100 "2022-03-17T09:28:30Z")\
**Posts on this page:** 1\
**Showing post:** 4

<div class="post-metadata">

**Author:** ![hogru](https://avatars.discourse-cdn.com/v4/letter/h/eb9ed0/32.png) [@hogru](https://community.wandb.ai/u/hogru)\
**Post date:** [March 22, 2022, 9:38pm UTC](https://community.wandb.ai/t/logged-value-available-in-graph-panel-but-not-in-columns/2100/4 "2022-03-22T21:38:19Z")

</div>

Hi Leslie,

I apologize for not responding earlier. I assumed to be notified by e-mail when this thread is updated. Probably I need to check my settings, or “watch” this thread.

I log via Pytorch Lightning:

```auto
wandb_logger = WandbLogger(project=settings.project_name, log_model=True)
wandb_logger.watch(model, log='gradients', log_freq=50, log_graph=True)

```

The actual code for the logging is this:

```auto
temp_accs_top_k = {f'{k:->4d}': v for k, v in zip(settings.ks, temp_accs)}
lightning_module.log(f'{split}/temp_top-k', temp_accs_top_k, batch_size=lightning_module.batch_size)

```

That looks a bit odd I suppose. The code is in a function that I call from several different `pl.LightningModule`s. The variable `lightning_module` refers to that module. The parameter `temp_accs_top_k` evaluates to (straight from the debugger):

`{'---1': 0.00019996000628452748, '---2': 0.00019996000628452748, '---3': 0.00039992001256905496, '---5': 0.0005998800043016672, '--10': 0.0005998800043016672, '--20': 0.001399720087647438, '--50': 0.004199160262942314, '-100': 0.007598480209708214, '1000': 0.08318336308002472}`

Which is wrong. But I am seeing the values in the graph panels (see attached screenshot).  
 ![Screen Shot 2022-03-22 at 21.52.37](https://us1.discourse-cdn.com/flex020/uploads/wandb/original/1X/3ae06dc0b1399ce16eb917dfb94b60a5e0f77acd.png)

I changed the code so that `temp_accs_top_k`now contains `{'test/temp_top-k.---1': 0.2963850498199463, 'test/temp_top-k.---2': 0.3962452709674835, 'test/temp_top-k.---3': 0.44557619094848633, 'test/temp_top-k.---5': 0.5052925944328308, 'test/temp_top-k.--10': 0.5733972191810608, 'test/temp_top-k.--20': 0.6277211904525757, 'test/temp_top-k.--50': 0.6810465455055237, 'test/temp_top-k.-100': 0.716596782207489, 'test/temp_top-k.1000': 0.802676260471344}`.

I log in a loop since Pytorch Lightning can’t log a dict (I believe). I know that wandb does it, but I need the batch\_size parameter (I have two dataloaders with different sizes/lenghts and need to make sure that Pytorch Lightning does not get confused with steps/epochs).

```auto
for k, v in temp_accs_top_k.items():
    lightning_module.log(k, v, batch_size=lightning_module.batch_size)

```

Update: just realized that Pytorch Lightning has a `log_dict` function which lets me get rid of the awkward for loop.

So the “bug” is more like “why did it work in the first place (in the graph panels)?”

Hope that’s not too much to digest and it is traceable.

Best,  
Stephan

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