[LoggerCollection.log_hyperparams] [no optional argument metrics]
🐛 Bug

Hello ! :)
The following method TensorBoardLogger.log_hyperparams has an optional argument metrics  yet LoggerCollection.log_hyperparams doesn't, yielding an error when relying on several loggers including TensorBoardLogger and using this optional argument.
Is that behaviour expected? Shouldn't all loggers have this optional argument?
To Reproduce
logger1 = pl.loggers.TensorBoardLogger(save_dir="logs")
logger2 = pl.loggers.CSVLogger(save_dir="logs")
pl.Trainer(logger=[logger1, logger2], etc)
Yields TypeError: log_hyperparams() got an unexpected keyword argument 'metrics'.

Environment

CUDA:

GPU:
available:         False
version:           10.2


Packages:

numpy:             1.19.4
pyTorch_debug:     True
pyTorch_version:   1.7.0
pytorch-lightning: 1.0.6
tqdm:              4.53.0


System:

OS:                Linux
architecture:

64bit
ELF


processor:         x86_64
python:            3.8.6
version:           #1 SMP Tue Aug 11 16:36:14 UTC 2020