logging

PyTorch Lightning supports multiple logging integrations for experiment tracking and visualization. By default, Lightning uses TensorBoard, but you can easily switch to or combine multiple loggers.

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Content

# Logging - Comprehensive Guide

## Overview

PyTorch Lightning supports multiple logging integrations for experiment tracking and visualization. By default, Lightning uses TensorBoard, but you can easily switch to or combine multiple loggers.

## Supported Loggers

### TensorBoardLogger (Default)

Logs to local or remote file system in TensorBoard format.

**Installation:**
```bash
pip install tensorboard
```

**Usage:**
```python
from lightning.pytorch import loggers as pl_loggers

tb_logger = pl_loggers.TensorBoardLogger(
    save_dir="logs/",
    name="my_model",
    version="version_1",
 

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