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bugSomething isn't workingSomething isn't workinghelp wantedOpen to be worked onOpen to be worked onloggingRelated to the `LoggerConnector` and `log()`Related to the `LoggerConnector` and `log()`priority: 1Medium priority taskMedium priority task
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Description
🐛 Bug
Trainer is adding dataloader_idx_X to metrics, but it is not supposed to since the name of my metrics are data1/x and data2/x. It currently displays as data1/x/dataloader_idx_0=3.46e-14, data2/x/dataloader_idx_1=3.49e-14 in progress bar.
To Reproduce
https://colab.research.google.com/drive/1L_0LOl7pUeL7bzh6uZiRa3-WXYQQwirN?usp=sharing
Expected behavior
It should appear in progress bar the information as data1/x=3.46e-14, data2/x=3.49e-14 and ModelCheckpoint should find data1/x to save based on it.
Environment
- CUDA:
- GPU:
- Tesla T4
- available: True
- version: 10.1
- GPU:
- Packages:
- numpy: 1.19.5
- pyTorch_debug: True
- pyTorch_version: 1.7.0+cu101
- pytorch-lightning: 1.2.0
- tqdm: 4.41.1
- System:
- OS: Linux
- architecture:
- 64bit
- processor: x86_64
- python: 3.6.9
- version: Proposal for help #1 SMP Thu Jul 23 08:00:38 PDT 2020
Additional context
This was not happening before (I was using another version, but recently updated my pytorch lightning docker container), so I don't have working version information.
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bugSomething isn't workingSomething isn't workinghelp wantedOpen to be worked onOpen to be worked onloggingRelated to the `LoggerConnector` and `log()`Related to the `LoggerConnector` and `log()`priority: 1Medium priority taskMedium priority task