Introduction

This sample shows how to run hyperparameter tuning jobs on AI Platform with Cloud TPUs using the cloudml-hypertune package.

Requirements

Install Google Cloud Platform SDK. The SDK includes the commandline tools gcloud for submitting training jobs to AI Platform.
Enable Cloud Storage.
Follow the steps here to authorize Cloud TPU to access your project.

Clone the repository.

git clone https://github.com/GoogleCloudPlatform/cloudml-samples.git

If you do not already have a Cloud Storage bucket, create one to be used for the training job.
```
gsutil mb gs://[YOUR_GCS_BUCKET]
export GCS_BUCKET="gs://[YOUR_GCS_BUCKET]"
```
Run the sample. The included script will train ResNet-50 for 1024 steps using a fake dataset.
```
cd cloudml-samples/tpu/hptuning/resnet-hypertune
bash submit_resnet_hypertune.sh
```