Logger Destination Refactor

[eracah]

This PR:

• removes log_data from LoggerDestination and its subclasses
• adds log_metrics, and log_hyperparameters to LoggerDestination to FileLogger, InMemoryLogger, ProgressBarLogger, WandBLogger, and TensorboardLogger
• Adds log_traces to FileLogger
• removes data, data_fit, data_epoch, and data_batch from Logger
• adds log_traces, log_metrics, and log_hyperparameters to Logger
• replaces all log_data calls with log_metrics, log_hyperparameters, or log_traces calls
• replaces all data_fit calls with log_hyperparameters
• replaces all data_epoch and data_batch calls with log_metrics
• removes all LogLevel stuff except for in log_artifacts
• reformats how things are logged. Examples below

Reformatting Examples

• FileLogger before:

[FIT][batch=0]: { "blurpool/num_blurpool_layers": 0, "blurpool/num_blurconv_layers": 0, }
[EPOCH][batch=0]: { "epoch": 0, }
[EPOCH][batch=469]: { "metrics/train/Accuracy": 0.8292, }

• FileLogger after:

[hyperparameter]: blurpool/num_blurpool_layers: 0 
[hyperparameter]: blurpool/num_blurconv_layers: 0
[metric][batch=0]: trainer/epoch: 0 
[metric][batch=469]: metrics/train/Accuracy: 0.9453 

• ProgressBarLogger log to console before:

[FIT]: { "blurpool/num_blurpool_layers": 0, "blurpool/num_blurconv_layers": 0, }
[EPOCH][batch=0/512]: { "epoch": 0, }
[EPOCH][batch=469/512]: { "metrics/train/Accuracy": 0.8292, }

• ProgressBarLogger log to console after:

[hyperparameter]: blurpool/num_blurpool_layers: 0
[hyperparameter]: blurpool/num_blurconv_layers: 0
[batch=0/512]: trainer/epoch: 0
[batch=469/512]: metrics/train/Accuracy: 0.9609

• WandBLogger before

• WandbLogger after

• TensorboardLogger before:

• TensorboardLogger after:

• InMemoryLogger before:

• InMemoryLogger after:

Solves JIRA Issues: CO-585 CO-916 CO-207