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Introduction

This sample shows how to run hyperparameter tuning jobs on AI Platform with Cloud TPUs using TensorFlow's tf.metrics.

This sample is adapted from the official samples for training ResNet-50 with Cloud TPUs to run on AI Platform.

Requirements

Steps

  1. Clone the repository.

    git clone https://github.com/GoogleCloudPlatform/cloudml-samples.git
    
  2. 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]"
    
  3. Run the sample. The included script will train ResNet-50 for 1024 steps using a fake dataset.

    cd cloudml-samples/tpu/hptuning/resnet-hptuning
    bash submit_resnet_hptuning.sh