TensorFlow Cloud is a library to connect your local environment to Google Cloud.

import tensorflow_cloud as tfc

TF_GPU_IMAGE= "tensorflow/tensorflow:latest-gpu"

run_parameters = [
  distribution_strategy='auto',
  requirements_txt='requirements.txt',
  docker_config=tfc.DockerConfig(
    parent_image=TF_GPU_IMAGE,
    image_build_bucket=GCS_BUCKET
  ),
  chief_config=tfc.COMMON_MACHINE_CONFIGS['K80_1X'],
  worker_config=tfc.COMMON_MACHINE_CONFIGS['K80_1X'],
  worker_count=3,
  job_labels={'job': "my_job"}
]

run(**run_parameters) # Runs your training on Google Cloud!
Run in a Notebook
The TensorFlow Cloud repository provides APIs that ease the transition from local model building and debugging to distributed training and hyperparameter tuning on Google Cloud. From inside a Colab or Kaggle Notebook or a local script file, you can send your model for tuning or training on Cloud directly, without needing to use the Cloud Console.