feat(analytics): remove telemetry

.github/workflows/tests.yml

@@ -31,9 +31,6 @@ jobs:
           cache-dependency-path: 'requirements*'
       - name: check OS
         run: cat /etc/os-release
-      - name: Telemetry off
-        run: |
-          export TRAINER_TELEMETRY=0
       - name: Install dependencies
         run: |
           sudo apt-get update

README.md

@@ -165,8 +165,3 @@ trainer.fit()
 - [WandDB](https://wandb.ai/)
 
 To add a new logger, you must subclass [BaseDashboardLogger](trainer/logging/base_dash_logger.py) and overload its functions.
-
-## Anonymized Telemetry
-We constantly seek to improve 🐸 for the community. To understand the community's needs better and address them accordingly, we collect stripped-down anonymized usage stats when you run the trainer.
-
-Of course, if you don't want, you can opt out by setting the environment variable `TRAINER_TELEMETRY=0`.

trainer/trainer.py

@@ -20,7 +20,6 @@
 from torch.nn.parallel import DistributedDataParallel as DDP_th
 from torch.utils.data import DataLoader
 
-from trainer.analytics import ping_training_run
 from trainer.callbacks import TrainerCallback
 from trainer.generic_utils import (
     KeepAverage,
@@ -580,7 +579,6 @@ def __init__(  # pylint: disable=dangerous-default-value
         self.callbacks.on_init_end(self)
         self.dashboard_logger.add_config(config)
         self.save_training_script()
-        ping_training_run()
 
     @property
     def use_apex(self):